dataset <- read.csv("/Users/Prateekg/Downloads/Dataset_with_Salary_Level.csv")

dataset_x <- dataset[, 5:6]
dataset_x
##      salary salary_in_usd
## 1     88000         95012
## 2    186000        186000
## 3     81800         81800
## 4    212000        212000
## 5     93300         93300
## 6    130000        130000
## 7    100000        100000
## 8    224400        224400
## 9    138700        138700
## 10   210000        210000
## 11   168000        168000
## 12   224400        224400
## 13   138700        138700
## 14    35000         43064
## 15    30000         36912
## 16    95000         95000
## 17    75000         75000
## 18   300000        300000
## 19   234000        234000
## 20   140000        140000
## 21   120000        120000
## 22   204500        204500
## 23   142200        142200
## 24   155000        155000
## 25   110000        110000
## 26   266500        266500
## 27   152000        152000
## 28   222200        222200
## 29   136000        136000
## 30   273400        273400
## 31   182200        182200
## 32   167500        167500
## 33   106500        106500
## 34   185900        185900
## 35   129300        129300
## 36   185000        185000
## 37    79600         79600
## 38   122000        122000
## 39    94500         94500
## 40   247300        247300
## 41   139700        139700
## 42   176000        176000
## 43   100000        100000
## 44   204500        204500
## 45   142200        142200
## 46   247600        247600
## 47   127300        127300
## 48   223400        223400
## 49   186200        186200
## 50   167500        167500
## 51   106500        106500
## 52   185900        185900
## 53   129300        129300
## 54    72000         72000
## 55    64000         64000
## 56   179820        179820
## 57   143860        143860
## 58   283050        283050
## 59   188700        188700
## 60   133000        133000
## 61    58400         58400
## 62   141298        141298
## 63   115607        115607
## 64   100000        100000
## 65    75000         75000
## 66   266500        266500
## 67   144400        144400
## 68    58000         71363
## 69    45000         55368
## 70   287500        287500
## 71   156000        156000
## 72    90000         90000
## 73    70000         70000
## 74   199000        199000
## 75   162000        162000
## 76   170884        170884
## 77   113923        113923
## 78   184000        184000
## 79   123000        123000
## 80   235750        235750
## 81   174250        174250
## 82   165000        165000
## 83   118800        118800
## 84   225000        225000
## 85   150000        150000
## 86   213900        213900
## 87   116800        116800
## 88   220000        220000
## 89   150000        150000
## 90   150000        150000
## 91   100000        100000
## 92   247500        247500
## 93   172200        172200
## 94   155000        155000
## 95   120000        120000
## 96   226700        226700
## 97   133300        133300
## 98   184000        184000
## 99   123000        123000
## 100  130000        130000
## 101  117000        117000
## 102  160000        160000
## 103  140000        140000
## 104  166000        166000
## 105   73000         73000
## 106  185900        185900
## 107  129300        129300
## 108  130000        130000
## 109  104000        104000
## 110  143000        143000
## 111  116000        116000
## 112  165000        165000
## 113  118800        118800
## 114  220000        220000
## 115  180000        180000
## 116  184000        184000
## 117  123000        123000
## 118  215000        215000
## 119  200000        200000
## 120  253000        253000
## 121  131000        131000
## 122  220000        220000
## 123  176000        176000
## 124   40000         49216
## 125   30000         36912
## 126  210000        210000
## 127  147000        147000
## 128  186000        186000
## 129  161000        161000
## 130  205000        205000
## 131  152000        152000
## 132  220000        220000
## 133  190000        190000
## 134  205000        205000
## 135  152000        152000
## 136  137000        137000
## 137  110000        110000
## 138  172000        172000
## 139  146000        146000
## 140  148000        148000
## 141   99000         99000
## 142  150000        150000
## 143  130000        130000
## 144  105000        105000
## 145   99000         99000
## 146   52500         52500
## 147  180514        180514
## 148  108308        108308
## 149  210000        210000
## 150  147000        147000
## 151  290300        290300
## 152  196685        196685
## 153  220000        220000
## 154  176000        176000
## 155  175000        175000
## 156  130000        130000
## 157  185000        185000
## 158  150000        150000
## 159  145000        145000
## 160  115000        115000
## 161  133000        133000
## 162   58300         58300
## 163  115000        115000
## 164   95000         95000
## 165   89600        110244
## 166   32000         39372
## 167   40000         43187
## 168   29000         31310
## 169   75000         92280
## 170   55000         67672
## 171   75000         92280
## 172   55000         67672
## 173   70000         75577
## 174  409500        303387
## 175  135000        100017
## 176  230300        230300
## 177  140000        140000
## 178  124935        124935
## 179   76050         76050
## 180  224800        224800
## 181  131100        131100
## 182  258000        258000
## 183  171000        171000
## 184  196000        196000
## 185  121000        121000
## 186  195800        195800
## 187  171500        171500
## 188  166000        166000
## 189   73100         73100
## 190  220000        220000
## 191  160000        160000
## 192   85000         85000
## 193   65000         65000
## 194  220000        220000
## 195  100000        100000
## 196  185000        185000
## 197  152000        152000
## 198  220000        220000
## 199  100000        100000
## 200   45000         48585
## 201   36000         38868
## 202  220000        220000
## 203  100000        100000
## 204  220000        220000
## 205  100000        100000
## 206  220000        220000
## 207  100000        100000
## 208  110000        110000
## 209   80000         80000
## 210   30000         36912
## 211  150200        150200
## 212   71000         71000
## 213  167200        167200
## 214  121000        121000
## 215  133000        133000
## 216   58400         58400
## 217  135000        135000
## 218  110000        110000
## 219   85000        104584
## 220   60000         73824
## 221  187415        187415
## 222  114080        114080
## 223  187415        187415
## 224  114080        114080
## 225  166000        166000
## 226   73100         73100
## 227  306400        306400
## 228  168700        168700
## 229  187415        187415
## 230  114080        114080
## 231   26800         32974
## 232   26800         32974
## 233  165000        165000
## 234  140000        140000
## 235  150000        150000
## 236  167000        167000
## 237  121000        121000
## 238  185000        185000
## 239   79600         79600
## 240  190200        190200
## 241   95100         95100
## 242  133000        133000
## 243   58400         58400
## 244   90000         90000
## 245   70000         70000
## 246  166000        166000
## 247   73100         73100
## 248  135000        135000
## 249  100000        100000
## 250  180514        180514
## 251  108308        108308
## 252  294000        294000
## 253  192000        192000
## 254  266000        266000
## 255  167000        167000
## 256  200000        200000
## 257  150000        150000
## 258  163800        163800
## 259   88200         88200
## 260  180400        180400
## 261  138800        138800
## 262   55000         67672
## 263   45000         55368
## 264  319000        319000
## 265  206000        206000
## 266  215000        215000
## 267  142000        142000
## 268  266000        266000
## 269  167000        167000
## 270  140130        140130
## 271   84870         84870
## 272  178300        178300
## 273  105400        105400
## 274  222200        222200
## 275  136000        136000
## 276  215000        215000
## 277  142000        142000
## 278  240000        240000
## 279  210000        210000
## 280  122000        122000
## 281   94500         94500
## 282  150000        150000
## 283  116000        116000
## 284   90000         90000
## 285  145000        145000
## 286  128000        128000
## 287  154000        154000
## 288  126000        126000
## 289  240000        240000
## 290  157250        157250
## 291  219650        219650
## 292  136000        136000
## 293  150000        150000
## 294  180000        180000
## 295  125000        125000
## 296  247600        247600
## 297  127300        127300
## 298   60000         60000
## 299   55000         55000
## 300  250000        250000
## 301  125000        125000
## 302  190000        190000
## 303  170000        170000
## 304  202600        202600
## 305  168800        168800
## 306  132000        132000
## 307  111000        111000
## 308  203000        203000
## 309  127000        127000
## 310  125009        125009
## 311   83339         83339
## 312  112200        112200
## 313   91800         91800
## 314  200000        200000
## 315  160000        160000
## 316  150000        161952
## 317  185000        185000
## 318  150000        150000
## 319  160000        160000
## 320  130000        130000
## 321  145000        145000
## 322  115000        115000
## 323  133000        133000
## 324   58300         58300
## 325  254000        254000
## 326  159000        159000
## 327  170000        170000
## 328   85000         85000
## 329  130500        130500
## 330  116000        116000
## 331   81400         81400
## 332   43500         43500
## 333  169000        169000
## 334   92000         92000
## 335  166000        166000
## 336   73100         73100
## 337  190000        190000
## 338  165000        165000
## 339  305600        305600
## 340  146600        146600
## 341  150000        150000
## 342  120000        120000
## 343  275000        275000
## 344  146400        146400
## 345  208500        208500
## 346  165000        165000
## 347  258700        258700
## 348  172500        172500
## 349  150000        150000
## 350  130000        130000
## 351  185000        185000
## 352  150000        150000
## 353  166000        166000
## 354   73100         73100
## 355  198200        198200
## 356  110200        110200
## 357  166000        166000
## 358   73100         73100
## 359  212000        212000
## 360   93300         93300
## 361  212000        212000
## 362   93300         93300
## 363  166000        166000
## 364   73100         73100
## 365  167100        167100
## 366  111400        111400
## 367  133000        133000
## 368   58400         58400
## 369  166000        166000
## 370   73100         73100
## 371  170000        170000
## 372  145000        145000
## 373  212000        212000
## 374   93300         93300
## 375  170000        170000
## 376  135000        135000
## 377  145000        145000
## 378  115000        115000
## 379  139810        139810
## 380   95325         95325
## 381  278700        278700
## 382  159300        159300
## 383  226700        226700
## 384  151100        151100
## 385  247300        247300
## 386  139700        139700
## 387  188000        188000
## 388  139000        139000
## 389  150000        150000
## 390  160000        160000
## 391   94000         94000
## 392  127000        127000
## 393   65000         65000
## 394  276000        276000
## 395  174000        174000
## 396  260000        260000
## 397  136000        136000
## 398  250000        250000
## 399  210000        210000
## 400  188000        188000
## 401  139000        139000
## 402  238000        238000
## 403  176000        176000
## 404  204500        204500
## 405  142200        142200
## 406  212000        212000
## 407  190000        190000
## 408  261500        261500
## 409  134500        134500
## 410  239000        239000
## 411  122900        122900
## 412  115000        115000
## 413   95000         95000
## 414  158500        158500
## 415  115000        115000
## 416  331640        331640
## 417  267720        267720
## 418  180000        180000
## 419   90000         90000
## 420   83000         83000
## 421   66000         66000
## 422  224250        224250
## 423  121550        121550
## 424  166000        166000
## 425   73100         73100
## 426  141298        141298
## 427  115607        115607
## 428  109000        109000
## 429  100000        100000
## 430  205400        205400
## 431   92900         92900
## 432  220000        220000
## 433  130000        130000
## 434  160000        160000
## 435  110000        110000
## 436  230000        230000
## 437  100000        100000
## 438  186030        186030
## 439  110200        110200
## 440  130000        130000
## 441  100000        100000
## 442  242000        242000
## 443  106200        106200
## 444  220000        220000
## 445  120000        120000
## 446  258000        258000
## 447  171000        171000
## 448   91200         91200
## 449   58200         58200
## 450  192000        192000
## 451  178000        178000
## 452  210000        210000
## 453  130000        130000
## 454  160000        160000
## 455  150000        150000
## 456  260000        260000
## 457  136000        136000
## 458  206000        206000
## 459  134000        134000
## 460  180000        180000
## 461  135000        135000
## 462  200000        200000
## 463  120000        120000
## 464  212000        212000
## 465   93300         93300
## 466  106700        106700
## 467   57700         57700
## 468  266400        266400
## 469  173300        173300
## 470  125000        125000
## 471  100000        100000
## 472  165600        165600
## 473   65800         65800
## 474  210400        210400
## 475  170500        170500
## 476  212000        212000
## 477   93300         93300
## 478  170000        170000
## 479  160000        160000
## 480  185400        185400
## 481   81536         81536
## 482  193000        193000
## 483  158000        158000
## 484  170000        170000
## 485  100000        100000
## 486  222200        222200
## 487  136000        136000
## 488  148000        148000
## 489   99000         99000
## 490  204500        204500
## 491  142200        142200
## 492   95000         95000
## 493   75000         75000
## 494  115000        115000
## 495  105000        105000
## 496  195800        195800
## 497  161900        161900
## 498   90000         90000
## 499   80000         80000
## 500  192500        192500
## 501  140000        140000
## 502  100000        100000
## 503   75000         75000
## 504  169000        169000
## 505   91000         91000
## 506  216600        216600
## 507  144400        144400
## 508  150000        150000
## 509  120000        120000
## 510  133000        133000
## 511   58400         58400
## 512  166000        166000
## 513   73100         73100
## 514  166000        166000
## 515   73100         73100
## 516  336300        336300
## 517  179000        179000
## 518  296400        296400
## 519  159600        159600
## 520  212000        212000
## 521   93300         93300
## 522  204500        204500
## 523  142200        142200
## 524  258500        258500
## 525  226500        226500
## 526  247250        247250
## 527  118400        118400
## 528  160000        160000
## 529  140000        140000
## 530  212000        212000
## 531   93400         93400
## 532  140000        172256
## 533  100000        123040
## 534  219000        219000
## 535  132000        132000
## 536  130500        130500
## 537  116000        116000
## 538  323300        323300
## 539  184700        184700
## 540  250000        250000
## 541  200000        200000
## 542  136000        136000
## 543   91000         91000
## 544  185900        185900
## 545  129300        129300
## 546  143000        143000
## 547   78000         78000
## 548  135000        135000
## 549  110000        110000
## 550  142000        142000
## 551  102200        102200
## 552  137500        137500
## 553   81500         81500
## 554  202000        202000
## 555  147000        147000
## 556  140000        140000
## 557  125000        125000
## 558  170625        170625
## 559  127950        127950
## 560  100000        123040
## 561   70000         86128
## 562   85256         85256
## 563   71615         71615
## 564  100000        100000
## 565  100000        100000
## 566  185000        185000
## 567  125000        125000
## 568   60000         60000
## 569   52000         52000
## 570  300000        300000
## 571  260000        260000
## 572  225000        225000
## 573  170000        170000
## 574  100000        100000
## 575   80000         80000
## 576  204500        204500
## 577  142200        142200
## 578  135000        135000
## 579  100000        100000
## 580  297300        297300
## 581  198200        198200
## 582  240000        240000
## 583  190000        190000
## 584  185000        185000
## 585   79600         79600
## 586  222200        222200
## 587  136000        136000
## 588  110000        110000
## 589   95000         95000
## 590  324000        324000
## 591  159000        159000
## 592  207700        207700
## 593  133700        133700
## 594   71000         71000
## 595   57000         57000
## 596  222200        222200
## 597  136000        136000
## 598  200000        200000
## 599  150000        150000
## 600   59000         59000
## 601   50000         50000
## 602  234000        234000
## 603  208000        208000
## 604  187000        187000
## 605  128000        128000
## 606  202000        202000
## 607  147000        147000
## 608   50000         50000
## 609   60000         64781
## 610   53000         57223
## 611   21000         21000
## 612  135000        135000
## 613  120000        120000
## 614  150000        150000
## 615  140000        140000
## 616  190000        190000
## 617  165000        165000
## 618  280000        280000
## 619  190000        190000
## 620  212000        212000
## 621  190000        190000
## 622   35000         43064
## 623   35000         43064
## 624  245700        245700
## 625  132300        132300
## 626   90000         90000
## 627   80000         80000
## 628  212000        212000
## 629   93300         93300
## 630  212000        212000
## 631   93300         93300
## 632  276000        276000
## 633  174000        174000
## 634  133000        133000
## 635   58300         58300
## 636  145640        145640
## 637   84400         84400
## 638  300000        300000
## 639  195000        195000
## 640  190000        190000
## 641  107500        107500
## 642  105000        105000
## 643   75000         75000
## 644  140000        140000
## 645   98000         98000
## 646  204500        204500
## 647  142200        142200
## 648  236160        236160
## 649  159408        159408
## 650  115000        115000
## 651   85000         85000
## 652  145000        145000
## 653  120000        120000
## 654  120350        120350
## 655   74400         74400
## 656  158494        158494
## 657   88052         88052
## 658  181500        181500
## 659  127000        127000
## 660  300000        300000
## 661  260000        260000
## 662  258000        258000
## 663  171000        171000
## 664   25000         25000
## 665  200000        200000
## 666  150000        150000
## 667  225300        225300
## 668  197400        197400
## 669  205500        205500
## 670  128500        128500
## 671  191600        191600
## 672  125600        125600
## 673  245700        245700
## 674  132300        132300
## 675  130410        130410
## 676   92000         92000
## 677  183900        183900
## 678  108800        108800
## 679  275000        275000
## 680  121200        121200
## 681  166000        166000
## 682   73100         73100
## 683  231250        231250
## 684  111000        111000
## 685  300000        300000
## 686  130000        130000
## 687  210500        210500
## 688  105300        105300
## 689  158400        158400
## 690   85800         85800
## 691  305600        305600
## 692  146600        146600
## 693  180400        180400
## 694  138800        138800
## 695  258700        258700
## 696  172500        172500
## 697  156100        156100
## 698  100400        100400
## 699  134200        134200
## 700  103200        103200
## 701  105000        105000
## 702   85000         85000
## 703  220000        220000
## 704  160000        160000
## 705  110000        110000
## 706   95000         95000
## 707   95400         95400
## 708   57800         57800
## 709  110000        110000
## 710   86000         86000
## 711  125000        125000
## 712   87500         87500
## 713  185000        185000
## 714   79600         79600
## 715  275000        275000
## 716  170000        170000
## 717  133200        133200
## 718   84000         84000
## 719  171000        171000
## 720   93000         93000
## 721  216450        216450
## 722  123750        123750
## 723  212800        212800
## 724  124100        124100
## 725  205000        205000
## 726  166000        166000
## 727  231650        231650
## 728  189100        189100
## 729  160000        160000
## 730  120000        120000
## 731  156100        156100
## 732  100400        100400
## 733  266875        266875
## 734  128250        128250
## 735  158600        158600
## 736  115300        115300
## 737  225300        225300
## 738  197400        197400
## 739  109900        109900
## 740   61200         61200
## 741  161000        161000
## 742   75000         75000
## 743  166000        166000
## 744   73100         73100
## 745  138510        138510
## 746   95490         95490
## 747  150000        150000
## 748  110000        110000
## 749  232200        232200
## 750  133300        133300
## 751  112800        121788
## 752   73200         79032
## 753  178250        178250
## 754  110500        110500
## 755  190000        190000
## 756  160000        160000
## 757  216000        216000
## 758  184000        184000
## 759  166000        166000
## 760  104000        104000
## 761  185000        185000
## 762   79600         79600
## 763  230000        230000
## 764  196000        196000
## 765  184000        184000
## 766  123000        123000
## 767  165600        165600
## 768   65800         65800
## 769  186000        186000
## 770   81800         81800
## 771  135000        135000
## 772   82500         82500
## 773  247250        247250
## 774  160000        160000
## 775  169000        169000
## 776  105500        105500
## 777  195800        195800
## 778  161900        161900
## 779  108500        108500
## 780   78800         78800
## 781  225000        225000
## 782  166000        166000
## 783  167500        167500
## 784  106500        106500
## 785  160000        160000
## 786  110000        110000
## 787  120000        120000
## 788  105000        105000
## 789  110000        110000
## 790   87500         87500
## 791   60000         60000
## 792   55000         55000
## 793  145000        145000
## 794  115000        115000
## 795  225000        225000
## 796  166000        166000
## 797  135000        135000
## 798  100000        100000
## 799  105000        105000
## 800   95000         95000
## 801  289800        289800
## 802  214200        214200
## 803  167500        167500
## 804  106500        106500
## 805  220000        220000
## 806  146000        146000
## 807  128000        128000
## 808   81500         81500
## 809  206000        206000
## 810  134000        134000
## 811  370000        370000
## 812  200000        200000
## 813  175000        175000
## 814  160000        160000
## 815  240000        240000
## 816  100000        100000
## 817  180000        180000
## 818  160000        160000
## 819  143000        143000
## 820  127000        127000
## 821  249300        249300
## 822  149300        149300
## 823  222200        222200
## 824  136000        136000
## 825  190000        190000
## 826  160000        160000
## 827  248100        248100
## 828  145900        145900
## 829  170200        170200
## 830   83900         83900
## 831  100000        100000
## 832   75000         75000
## 833  166000        166000
## 834   90000         90000
## 835  160000        160000
## 836   94100         94100
## 837  226600        226600
## 838  140100        140100
## 839  247600        247600
## 840  127300        127300
## 841  222200        222200
## 842  136000        136000
## 843  260000        260000
## 844  136000        136000
## 845  222200        222200
## 846  136000        136000
## 847  156000        156000
## 848  124000        124000
## 849  200000        200000
## 850  132600        132600
## 851  308000        308000
## 852  190400        190400
## 853  155000        155000
## 854  136000        136000
## 855  160000        160000
## 856   75000         75000
## 857  214500        214500
## 858  132600        132600
## 859  111000        111000
## 860  104000        104000
## 861  260000        260000
## 862  136000        136000
## 863   85000         85000
## 864   75000         75000
## 865  180250        180250
## 866  118000        118000
## 867  212800        212800
## 868  111600        111600
## 869  157500        157500
## 870  132500        132500
## 871   85000         85000
## 872   75000         75000
## 873   93918         93918
## 874   51962         51962
## 875  171000        171000
## 876  152000        152000
## 877  223600        223600
## 878  115000        115000
## 879  166000        166000
## 880   73100         73100
## 881  140000        140000
## 882  110000        110000
## 883  130900        130900
## 884   72700         72700
## 885  333500        333500
## 886  144000        144000
## 887  180000        180000
## 888  118200        118200
## 889  354200        354200
## 890  221800        221800
## 891  166000        166000
## 892   73000         73000
## 893  156600        156600
## 894  137200        137200
## 895  149000        149000
## 896   65300         65300
## 897  187000        187000
## 898  180000        180000
## 899  119636        119636
## 900   70374         70374
## 901  105000        105000
## 902   67000         67000
## 903  102000        102000
## 904   94770         94770
## 905  186000        186000
## 906   81800         81800
## 907  133000        133000
## 908   58400         58400
## 909  169900        169900
## 910  164100        164100
## 911  305600        305600
## 912  172500        172500
## 913  105000        105000
## 914   75000         75000
## 915   34800         37573
## 916   30000         36940
## 917  180240        180240
## 918  120160        120160
## 919  212000        212000
## 920   93400         93400
## 921  275000        275000
## 922  170000        170000
## 923  119000        119000
## 924   71400         71400
## 925  115950        115950
## 926   69570         69570
## 927  225100        225100
## 928  140900        140900
## 929  116000        116000
## 930   90000         90000
## 931  212000        212000
## 932   93300         93300
## 933  179000        179000
## 934  144000        144000
## 935  250800        250800
## 936  167200        167200
## 937  144000        144000
## 938   76000         76000
## 939  230000        230000
## 940  180000        180000
## 941  156450        156450
## 942  119200        119200
## 943  150000        150000
## 944  130000        130000
## 945  247500        247500
## 946  172200        172200
## 947  155000        155000
## 948  125000        125000
## 949  175000        175000
## 950   97500         97500
## 951  220000        220000
## 952  185000        185000
## 953  100000        100000
## 954   75000         75000
## 955  303050        303050
## 956  202350        202350
## 957   20000         21593
## 958  201650        201650
## 959  124600        124600
## 960  198200        198200
## 961  110200        110200
## 962  212000        212000
## 963   93400         93400
## 964  145000        145000
## 965  110000        110000
## 966   89500         89500
## 967   65000         65000
## 968  328400        328400
## 969  205600        205600
## 970  184800        184800
## 971  161900        161900
## 972   85000         85000
## 973   61800         61800
## 974   57500         70748
## 975   54500         67056
## 976  116000        116000
## 977   72500         72500
## 978  215000        215000
## 979  169850        169850
## 980  225000        225000
## 981  180000        180000
## 982  147400        147400
## 983  107682        107682
## 984  225300        225300
## 985  197400        197400
## 986  160000        160000
## 987  136000        136000
## 988  204600        204600
## 989  126500        126500
## 990  210000        210000
## 991  115000        115000
## 992   86500         86500
## 993   40400         40400
## 994  260000        260000
## 995  136000        136000
## 996  329700        329700
## 997  192351        192351
## 998  280000        280000
## 999  160000        160000
## 1000 106700        106700
## 1001  97000         97000
## 1002 175000        175000
## 1003 150000        150000
## 1004 145000        145000
## 1005 120000        120000
## 1006  88000         88000
## 1007  60000         60000
## 1008 123000        123000
## 1009  93593         93593
## 1010 276000        276000
## 1011 174000        174000
## 1012 185900        185900
## 1013 129300        129300
## 1014 222405        222405
## 1015 172800        172800
## 1016 120350        120350
## 1017  74400         74400
## 1018 205600        205600
## 1019 105700        105700
## 1020 263500        263500
## 1021 189360        189360
## 1022 192000        192000
## 1023 124000        124000
## 1024 230000        230000
## 1025 124000        124000
## 1026 148500        148500
## 1027  82500         82500
## 1028 184800        184800
## 1029 161900        161900
## 1030 310000        310000
## 1031 206000        206000
## 1032 372000        372000
## 1033 223000        223000
## 1034 140000        172256
## 1035 100000        123040
## 1036  95000         95000
## 1037  80000         80000
## 1038 131000        131000
## 1039 110000        110000
## 1040 148500        148500
## 1041  82500         82500
## 1042 133000        133000
## 1043  58400         58400
## 1044 233500        233500
## 1045 146000        146000
## 1046 300000        300000
## 1047 130000        130000
## 1048 280889        280889
## 1049 187259        187259
## 1050 305100        305100
## 1051 146900        146900
## 1052  78800         78800
## 1053  44100         44100
## 1054 166000        166000
## 1055  73100         73100
## 1056 150000        150000
## 1057  80000         80000
## 1058 150000        150000
## 1059  80000         80000
## 1060 170000        170000
## 1061 120000        120000
## 1062 110000        110000
## 1063  90000         90000
## 1064 202800        202800
## 1065 104300        104300
## 1066 272400        272400
## 1067 140100        140100
## 1068 154000        154000
## 1069 103000        103000
## 1070 223600        223600
## 1071 115000        115000
## 1072  80750         80750
## 1073  48450         48450
## 1074  85600         85600
## 1075  57000         57000
## 1076 190400        190400
## 1077 112000        112000
## 1078 119636        119636
## 1079  70374         70374
## 1080 304750        304750
## 1081 160000        160000
## 1082  98873         98873
## 1083  58161         58161
## 1084 138000        138000
## 1085  85500         85500
## 1086 307100        307100
## 1087 216800        216800
## 1088 153600        153600
## 1089 106800        106800
## 1090 250000        250000
## 1091 125000        125000
## 1092 280000        280000
## 1093 180000        180000
## 1094 160000        160000
## 1095 130000        130000
## 1096 180000        180000
## 1097 162000        162000
## 1098 185000        185000
## 1099  79600         79600
## 1100 164640        164640
## 1101 131712        131712
## 1102  74800         74800
## 1103  63600         63600
## 1104 138510        138510
## 1105  95490         95490
## 1106  75000         92280
## 1107  55000         67672
## 1108 280000        280000
## 1109 160000        160000
## 1110 170000        170000
## 1111 140000        140000
## 1112 137500        137500
## 1113  81500         81500
## 1114 253792        253792
## 1115 158620        158620
## 1116 259900        259900
## 1117 139200        139200
## 1118  96000        118118
## 1119  65000         79976
## 1120 293000        293000
## 1121 185000        185000
## 1122 180000        180000
## 1123  90000         90000
## 1124 165000        165000
## 1125 115500        115500
## 1126 110000        110000
## 1127  70000         70000
## 1128 142000        142000
## 1129 102000        102000
## 1130 141600        141600
## 1131 121400        121400
## 1132 240000        240000
## 1133 170000        170000
## 1134 222200        222200
## 1135 136000        136000
## 1136  55000         55000
## 1137  49000         49000
## 1138 135000        135000
## 1139 110000        110000
## 1140 200000        200000
## 1141 180000        180000
## 1142 200000        246080
## 1143 150000        184560
## 1144 168000        168000
## 1145 130000        130000
## 1146 105000        105000
## 1147  70000         70000
## 1148 105000        105000
## 1149 100000        100000
## 1150 243000        243000
## 1151 152000        152000
## 1152 167500        167500
## 1153 106500        106500
## 1154  65000         79976
## 1155 115600        115600
## 1156  79700         79700
## 1157 281700        281700
## 1158 141100        141100
## 1159 173100        173100
## 1160  86900         86900
## 1161 258700        258700
## 1162 133800        133800
## 1163 120000        120000
## 1164  85000         85000
## 1165 225300        225300
## 1166 197400        197400
## 1167 157000        157000
## 1168 125000        125000
## 1169 208000        208000
## 1170 134000        134000
## 1171 140000        140000
## 1172  65000         65000
## 1173 258700        258700
## 1174 160000        160000
## 1175 258700        258700
## 1176 188200        188200
## 1177  40000         49216
## 1178  40000         49216
## 1179 110000        110000
## 1180  73400         73400
## 1181 183414        183414
## 1182 183414        183414
## 1183 130000        130000
## 1184  97200         97200
## 1185 299000        299000
## 1186 187000        187000
## 1187 204500        204500
## 1188  66000         66000
## 1189 190000        190000
## 1190 140000        140000
## 1191 170200        170200
## 1192  83900         83900
## 1193 130000        130000
## 1194 101570        101570
## 1195 177000        177000
## 1196 118000        118000
## 1197 234500        234500
## 1198 127000        127000
## 1199 170000        114979
## 1200 287500        287500
## 1201 168000        168000
## 1202 155000        155000
## 1203 140000        140000
## 1204 230000        230000
## 1205 180000        180000
## 1206 153000        153000
## 1207 136000        136000
## 1208  93918         93918
## 1209  51962         51962
## 1210 254000        254000
## 1211 200000        200000
## 1212 214500        214500
## 1213 134500        134500
## 1214 136000        136000
## 1215 104000        104000
## 1216 110000        110000
## 1217  90000         90000
## 1218 145000        145000
## 1219 115000        115000
## 1220 143000        143000
## 1221 117000        117000
## 1222 216000        216000
## 1223 184000        184000
## 1224 324000        324000
## 1225 159000        159000
## 1226 130000        130000
## 1227 110000        110000
## 1228  60000         73824
## 1229  45000         55368
## 1230 370000        370000
## 1231 200000        200000
## 1232 275300        275300
## 1233 183500        183500
## 1234 230000        230000
## 1235 196000        196000
## 1236 253000        253000
## 1237 172040        172040
## 1238 234000        234000
## 1239 178000        178000
## 1240 164000        164000
## 1241 130000        130000
## 1242 109238        109238
## 1243  68274         68274
## 1244  53000         57223
## 1245  48000         51824
## 1246  80800         80800
## 1247  53800         53800
## 1248 258900        258900
## 1249 176080        176080
## 1250  57500         70748
## 1251  54500         67056
## 1252 120000        120000
## 1253 110000        110000
## 1254 309000        309000
## 1255 142000        142000
## 1256 201650        201650
## 1257 124600        124600
## 1258  65000         65000
## 1259  60000         60000
## 1260 132100        132100
## 1261  68400         68400
## 1262 145000        145000
## 1263 110000        110000
## 1264 160000        160000
## 1265 140000        140000
## 1266  87500         87500
## 1267  62500         62500
## 1268 142000        142000
## 1269 128000        128000
## 1270 160000        160000
## 1271 130000        130000
## 1272 155000        155000
## 1273 139500        139500
## 1274 202800        202800
## 1275 104300        104300
## 1276 221000        221000
## 1277 129000        129000
## 1278 259000        259000
## 1279 138750        138750
## 1280 120000        120000
## 1281 100000        100000
## 1282 155000        155000
## 1283 130000        130000
## 1284 247300        247300
## 1285 139700        139700
## 1286 215000        215000
## 1287 182750        182750
## 1288 248100        248100
## 1289 145900        145900
## 1290 207000        207000
## 1291 141000        141000
## 1292  90000         90000
## 1293  55000         55000
## 1294 247300        247300
## 1295 139700        139700
## 1296  36000         36000
## 1297 300000        300000
## 1298 100000        100000
## 1299 300000        300000
## 1300 100000        100000
## 1301 116700        116700
## 1302  93400         93400
## 1303  80000         80000
## 1304  50000         50000
## 1305 179000        179000
## 1306 176490        176490
## 1307 195000        195000
## 1308 143750        143750
## 1309 180000        180000
## 1310 162000        162000
## 1311 199000        199000
## 1312 196760        196760
## 1313  90000         90000
## 1314  70000         70000
## 1315 324000        324000
## 1316 159000        159000
## 1317 222000        222000
## 1318 159000        159000
## 1319 175000        175000
## 1320 150000        150000
## 1321  50000         50000
## 1322  65000         70179
## 1323 110000        110000
## 1324  75000         75000
## 1325  43000         46426
## 1326  36000         38868
## 1327 220000        220000
## 1328  80000         80000
## 1329 167500        167500
## 1330 106500        106500
## 1331 150000        150000
## 1332 130000        130000
## 1333 150000        150000
## 1334 130000        130000
## 1335 126500        126500
## 1336  78000         78000
## 1337 185900        185900
## 1338 129300        129300
## 1339 250000        250000
## 1340 222000        222000
## 1341 145000        145000
## 1342 120000        120000
## 1343 150000        150000
## 1344 120000        120000
## 1345 204500        204500
## 1346 142200        142200
## 1347 297000        297000
## 1348 138000        138000
## 1349 147600        147600
## 1350 106300        106300
## 1351 247300        247300
## 1352 139700        139700
## 1353  83376        102586
## 1354  65004         79981
## 1355 131250        131250
## 1356 128100        128100
## 1357 116000        116000
## 1358  90000         90000
## 1359 174500        174500
## 1360 113000        113000
## 1361  56500         56500
## 1362  36000         38868
## 1363 227000        227000
## 1364 185000        185000
## 1365 230000        230000
## 1366 160000        160000
## 1367 185000        185000
## 1368 150000        150000
## 1369 138300        138300
## 1370 110700        110700
## 1371 185000        185000
## 1372  79600         79600
## 1373 208500        208500
## 1374 165000        165000
## 1375 100000        100000
## 1376  75000         75000
## 1377 185000        185000
## 1378 150000        150000
## 1379  45000         48585
## 1380  36000         38868
## 1381 137500        137500
## 1382  81500         81500
## 1383 130000        130000
## 1384  80000         80000
## 1385 230000        230000
## 1386 196000        196000
## 1387 202800        202800
## 1388 104300        104300
## 1389 216000        216000
## 1390 184000        184000
## 1391 212175        212175
## 1392 156000        156000
## 1393 184000        184000
## 1394 123000        123000
## 1395 111151        111151
## 1396  66691         66691
## 1397 190000        190000
## 1398 138700        138700
## 1399  95040         95040
## 1400  59400         59400
## 1401 197802        197802
## 1402 156453        156453
## 1403 308000        308000
## 1404 144000        144000
## 1405 172000        172000
## 1406 140000        140000
## 1407  73000         89819
## 1408  59000         72593
## 1409 185000        185000
## 1410 150000        150000
## 1411 154000        154000
## 1412 103000        103000
## 1413 180000        180000
## 1414 122400        122400
## 1415  80000         80000
## 1416  70000         70000
## 1417 120000        120000
## 1418  90000         90000
## 1419 227500        227500
## 1420 147500        147500
## 1421 150000        150000
## 1422  50000         50000
## 1423  60000         73824
## 1424  45000         55368
## 1425 220000        220000
## 1426 180000        180000
## 1427 331640        331640
## 1428 267720        267720
## 1429 190000        190000
## 1430 130000        130000
## 1431 160000        160000
## 1432 130000        130000
## 1433 150000        150000
## 1434  50000         50000
## 1435 172200        172200
## 1436 131200        131200
## 1437 250000        250000
## 1438 100000        100000
## 1439 178000        178000
## 1440 165000        165000
## 1441 202800        202800
## 1442 104300        104300
## 1443 155000        155000
## 1444 120000        120000
## 1445 280000        280000
## 1446 200000        200000
## 1447 184000        184000
## 1448 123000        123000
## 1449 202800        202800
## 1450 104300        104300
## 1451  60000         73824
## 1452  55000         67672
## 1453 290000        290000
## 1454 173200        173200
## 1455 235000        235000
## 1456 204000        204000
## 1457 300000        300000
## 1458 222000        222000
## 1459 160000        160000
## 1460 136000        136000
## 1461 206000        206000
## 1462 134000        134000
## 1463 155000        155000
## 1464 105000        105000
## 1465 287500        287500
## 1466 212500        212500
## 1467 190027        190027
## 1468 152022        152022
## 1469  18000         19434
## 1470 130000        130000
## 1471 100000        100000
## 1472 250000        250000
## 1473 125000        125000
## 1474 131000        131000
## 1475  88000         88000
## 1476  80000         80000
## 1477  50000         50000
## 1478 198000        198000
## 1479 132000        132000
## 1480 125000        125000
## 1481 115000        115000
## 1482 184000        184000
## 1483 123000        123000
## 1484 145000        145000
## 1485 130000        130000
## 1486 170700        170700
## 1487 113900        113900
## 1488 184000        184000
## 1489 123000        123000
## 1490 280000        280000
## 1491 200000        200000
## 1492 185000        185000
## 1493  81000         81000
## 1494 220000        220000
## 1495  80000         80000
## 1496 185000        185000
## 1497 123000        123000
## 1498  80000         80000
## 1499  75000         75000
## 1500 150000        150000
## 1501 130000        130000
## 1502  53000         53000
## 1503  48000         48000
## 1504 300000        369120
## 1505  60000         73824
## 1506 150000        150000
## 1507 125000        125000
## 1508 150000        150000
## 1509 130000        130000
## 1510  57500         70748
## 1511  54500         67056
## 1512 190000        190000
## 1513 170000        170000
## 1514 125000        125000
## 1515 115000        115000
## 1516 130000        130000
## 1517 101570        101570
## 1518 150000        150000
## 1519 115000        115000
## 1520 184000        184000
## 1521 123000        123000
## 1522 194000        194000
## 1523 175000        175000
## 1524 185000        185000
## 1525 160000        160000
## 1526 185000        185000
## 1527  50000         50000
## 1528  80000         80000
## 1529  70000         70000
## 1530 254000        254000
## 1531 200000        200000
## 1532 130916        130916
## 1533 120000        120000
## 1534 160000        160000
## 1535 130000        130000
## 1536 218213        218213
## 1537 178538        178538
## 1538 222200        222200
## 1539 136000        136000
## 1540 316000        316000
## 1541 202000        202000
## 1542 222200        222200
## 1543 136000        136000
## 1544 189750        189750
## 1545 119213        119213
## 1546 162000        162000
## 1547 130000        130000
## 1548 170200        170200
## 1549  83900         83900
## 1550 202800        202800
## 1551 104300        104300
## 1552 250944        250944
## 1553 205318        205318
## 1554 155000        155000
## 1555 125000        125000
## 1556 135000        135000
## 1557 114000        114000
## 1558 218213        218213
## 1559 178538        178538
## 1560 240000        240000
## 1561 163200        163200
## 1562 258800        258800
## 1563 199200        199200
## 1564 215625        215625
## 1565 159375        159375
## 1566 155000        155000
## 1567 125000        125000
## 1568 170000        170000
## 1569 100000        100000
## 1570 234000        234000
## 1571 208000        208000
## 1572 203000        203000
## 1573 133000        133000
## 1574 272400        272400
## 1575 140100        140100
## 1576 282000        282000
## 1577 208000        208000
## 1578  93919         93919
## 1579  51962         51962
## 1580 211000        211000
## 1581 185000        185000
## 1582 118800        118800
## 1583  75000         75000
## 1584 159350        159350
## 1585 130100        130100
## 1586 262000        262000
## 1587 245000        245000
## 1588 190000        190000
## 1589 150000        150000
## 1590 205218        205218
## 1591 136743        136743
## 1592 185000        185000
## 1593  94600         94600
## 1594 160000        160000
## 1595 107000        107000
## 1596 264400        264400
## 1597 176300        176300
## 1598 160000        160000
## 1599 107000        107000
## 1600 275000        275000
## 1601 175000        175000
## 1602  76000         76000
## 1603  50000         53984
## 1604  40000         43187
## 1605  80800         80800
## 1606  53800         53800
## 1607 150000        150000
## 1608 125000        125000
## 1609 210000        210000
## 1610 180000        180000
## 1611 210000        210000
## 1612 155000        155000
## 1613 169500        169500
## 1614 138000        138000
## 1615 226700        226700
## 1616 133300        133300
## 1617 278700        278700
## 1618 159300        159300
## 1619 180000        180000
## 1620 120000        120000
## 1621 125000        125000
## 1622 115000        115000
## 1623 297300        297300
## 1624 198200        198200
## 1625 204500        204500
## 1626 138900        138900
## 1627 110400        110400
## 1628  68000         68000
## 1629 260600        260600
## 1630 170500        170500
## 1631  63750         63750
## 1632  46400         46400
## 1633 214872        214872
## 1634 186846        186846
## 1635  95000         95000
## 1636  70600         70600
## 1637 149500        149500
## 1638 127075        127075
## 1639 162000        162000
## 1640 111000        111000
## 1641 280000        280000
## 1642 182750        182750
## 1643 212800        212800
## 1644 124100        124100
## 1645 196000        196000
## 1646 142600        142600
## 1647 185000        185000
## 1648  79600         79600
## 1649 193000        193000
## 1650 110000        110000
## 1651 245000        245000
## 1652 185000        185000
## 1653 154000        154000
## 1654 103000        103000
## 1655  80000         80000
## 1656  70000         70000
## 1657 250000        250000
## 1658 225000        225000
## 1659  90000         90000
## 1660  80000         80000
## 1661  50000         61520
## 1662  40000         49216
## 1663 205000        205000
## 1664 167500        167500
## 1665 202600        202600
## 1666 168800        168800
## 1667 164000        164000
## 1668 130000        130000
## 1669 240000        240000
## 1670 220000        220000
## 1671 168000        168000
## 1672 130000        130000
## 1673 185900        185900
## 1674 129300        129300
## 1675 297300        297300
## 1676 198200        198200
## 1677 190000        190000
## 1678 156000        156000
## 1679 205000        205000
## 1680 152000        152000
## 1681 196500        196500
## 1682  97300         97300
## 1683 260000        260000
## 1684 192000        192000
## 1685 216000        216000
## 1686 184000        184000
## 1687 192000        192000
## 1688 164000        164000
## 1689 227700        227700
## 1690 154836        154836
## 1691 160000        160000
## 1692 140000        140000
## 1693 168000        168000
## 1694 130000        130000
## 1695 285000        285000
## 1696 190000        190000
## 1697 405000        405000
## 1698 270000        270000
## 1699 214300        214300
## 1700 108500        108500
## 1701 145000        145000
## 1702 115000        115000
## 1703 130000        130000
## 1704 113000        113000
## 1705 194500        194500
## 1706 110250        110250
## 1707 295000        295000
## 1708 177300        177300
## 1709  45000         55368
## 1710  36000         44294
## 1711 136000        136000
## 1712 104000        104000
## 1713 222200        222200
## 1714 136000        136000
## 1715 192000        192000
## 1716 164000        164000
## 1717 220000        220000
## 1718 187000        187000
## 1719 353200        353200
## 1720 249300        249300
## 1721  85000         85000
## 1722  79000         79000
## 1723 214500        214500
## 1724 132600        132600
## 1725 131000        131000
## 1726 130000        130000
## 1727 153600        153600
## 1728 106800        106800
## 1729 220000        220000
## 1730 163000        163000
## 1731 168000        168000
## 1732 130000        130000
## 1733 107400        107400
## 1734 101500        101500
## 1735  80000         80000
## 1736  70000         70000
## 1737  75000         80976
## 1738 300000        300000
## 1739 100000        100000
## 1740 175000        175000
## 1741 135000        135000
## 1742 164000        164000
## 1743 130000        130000
## 1744 300000        300000
## 1745 211000        211000
## 1746 276000        276000
## 1747 184000        184000
## 1748 115000        115000
## 1749 110000        110000
## 1750 139810        139810
## 1751  95325         95325
## 1752 167000        167000
## 1753 150000        150000
## 1754 144000        144000
## 1755  96000         96000
## 1756 140000        140000
## 1757 125000        125000
## 1758 145000        145000
## 1759 116000        116000
## 1760 161000        161000
## 1761 116300        116300
## 1762 140000        140000
## 1763 125000        125000
## 1764 175564        175564
## 1765 144854        144854
## 1766 225000        225000
## 1767 166000        166000
## 1768 190000        190000
## 1769 150000        150000
## 1770 225000        225000
## 1771 166000        166000
## 1772 151300        151300
## 1773 126100        126100
## 1774 190000        190000
## 1775 152000        152000
## 1776 202600        202600
## 1777 168800        168800
## 1778 190000        190000
## 1779 150000        150000
## 1780 180000        180000
## 1781 125000        125000
## 1782 113000        113000
## 1783  90400         90400
## 1784 204300        204300
## 1785 139000        139000
## 1786 282000        282000
## 1787 208000        208000
## 1788 185000        185000
## 1789 124000        124000
## 1790 240000        240000
## 1791 157000        157000
## 1792 212800        212800
## 1793 111600        111600
## 1794 183000        183000
## 1795 147000        147000
## 1796 169000        169000
## 1797  91000         91000
## 1798 210000        210000
## 1799 160000        160000
## 1800  70900         70900
## 1801  49000         49000
## 1802 193000        193000
## 1803 128000        128000
## 1804 168000        168000
## 1805 130000        130000
## 1806 154000        154000
## 1807 103000        103000
## 1808  93918         93918
## 1809  51962         51962
## 1810 180000        180000
## 1811 160000        160000
## 1812 140000        140000
## 1813 140000        140000
## 1814 275000        275000
## 1815 243000        243000
## 1816 215000        215000
## 1817 160000        160000
## 1818 174500        174500
## 1819 113000        113000
## 1820 125000        125000
## 1821  80000         80000
## 1822 145000        145000
## 1823 115000        115000
## 1824 260000        260000
## 1825 160000        160000
## 1826 202000        202000
## 1827 140000        140000
## 1828 130000         96313
## 1829 250000        250000
## 1830 140000        140000
## 1831  45000         48585
## 1832  40000         43187
## 1833 204000        204000
## 1834 127500        127500
## 1835 145500        145500
## 1836 108000        108000
## 1837 206000        206000
## 1838 175100        175100
## 1839 122500        122500
## 1840  82500         82500
## 1841 110400        110400
## 1842  68000         68000
## 1843 190000        190000
## 1844 160000        160000
## 1845  95000         95000
## 1846  75000         75000
## 1847 136000        136000
## 1848 104000        104000
## 1849 130000        130000
## 1850 105000        105000
## 1851 154000        154000
## 1852 103000        103000
## 1853 217000        217000
## 1854 192000        192000
## 1855 170000        170000
## 1856 100000        100000
## 1857  90000         90000
## 1858  60000         60000
## 1859 350000        350000
## 1860 168000        168000
## 1861 234900        234900
## 1862 113500        113500
## 1863 385000        385000
## 1864 245000        245000
## 1865 255000        255000
## 1866 255000        255000
## 1867 170200        170200
## 1868  83900         83900
## 1869 170200        170200
## 1870  83900         83900
## 1871 202500        202500
## 1872 177500        177500
## 1873 308000        308000
## 1874 144000        144000
## 1875 130000        130000
## 1876 101570        101570
## 1877 300000        300000
## 1878 150000        150000
## 1879 222200        222200
## 1880 136000        136000
## 1881 145000        145000
## 1882 130000        130000
## 1883 155000        155000
## 1884 130000        130000
## 1885 240000        240000
## 1886 180000        180000
## 1887 170200        170200
## 1888  83900         83900
## 1889 210000        210000
## 1890 165000        165000
## 1891 300000        300000
## 1892 150000        150000
## 1893 300000        300000
## 1894 150000        150000
## 1895 212800        212800
## 1896 111600        111600
## 1897 213600        213600
## 1898 103200        103200
## 1899 230000        230000
## 1900 153000        153000
## 1901 308000        308000
## 1902 190400        190400
## 1903 204000        204000
## 1904 127500        127500
## 1905 250000        250000
## 1906 125000        125000
## 1907 385000        385000
## 1908 310000        310000
## 1909 120000        120000
## 1910  88000         88000
## 1911 158000        158000
## 1912 108000        108000
## 1913 385000        385000
## 1914 310000        310000
## 1915 247300        247300
## 1916 139700        139700
## 1917 240000        240000
## 1918 180000        180000
## 1919 130000        130000
## 1920 101570        101570
## 1921 210000        210000
## 1922 165000        165000
## 1923 170200        170200
## 1924  83900         83900
## 1925 222200        222200
## 1926 136000        136000
## 1927 169000        169000
## 1928  91000         91000
## 1929 135000        135000
## 1930 110000        110000
## 1931 105000        129192
## 1932  80000         98432
## 1933 300000        369120
## 1934  33063         40680
## 1935 150000        150000
## 1936 130000        130000
## 1937 128000        128000
## 1938  81500         81500
## 1939 306000        306000
## 1940 204000        204000
## 1941 185900        185900
## 1942 129300        129300
## 1943 204500        204500
## 1944 142200        142200
## 1945  70000         75577
## 1946  18000         18000
## 1947 300000        369120
## 1948  50000         61520
## 1949 270000        270000
## 1950 200000        200000
## 1951 204500        204500
## 1952 142200        142200
## 1953  75000         92280
## 1954  55000         67672
## 1955 188600        188600
## 1956 111550        111550
## 1957 230000        230000
## 1958 160000        160000
## 1959 247300        247300
## 1960 139700        139700
## 1961 360000        360000
## 1962 240000        240000
## 1963 129100        129100
## 1964 111400        111400
## 1965 135000        135000
## 1966 110000        110000
## 1967 214500        214500
## 1968 132600        132600
## 1969 120000        120000
## 1970 100000        100000
## 1971 242921        242921
## 1972 170045        170045
## 1973 225000        225000
## 1974 175000        175000
## 1975 180000        180000
## 1976 162000        162000
## 1977 175000        175000
## 1978  90000         90000
## 1979 156450        156450
## 1980 119200        119200
## 1981 245000        245000
## 1982 185000        185000
## 1983 214500        214500
## 1984 132600        132600
## 1985 154800        154800
## 1986  76300         76300
## 1987 178600        178600
## 1988  88600         88600
## 1989 248100        248100
## 1990 145900        145900
## 1991  93919         93919
## 1992  51962         51962
## 1993 207345        207345
## 1994 180300        180300
## 1995 200000        200000
## 1996 140000        140000
## 1997 205000        205000
## 1998 167500        167500
## 1999 140000        140000
## 2000 110000        110000
## 2001 228045        228045
## 2002 198300        198300
## 2003 150000        150000
## 2004 140000        140000
## 2005 100000        100000
## 2006  75000         75000
## 2007  45000         48585
## 2008  36000         38868
## 2009 100000        100000
## 2010  75000         75000
## 2011  72360         78125
## 2012  37440         40423
## 2013 140000        140000
## 2014 100000        100000
## 2015 125000        125000
## 2016 120000        120000
## 2017 127000        127000
## 2018  99000         99000
## 2019 130000        130000
## 2020 120000        120000
## 2021 194500        194500
## 2022 132320        132320
## 2023 135000        135000
## 2024  90000         90000
## 2025 223602        223602
## 2026 143520        143520
## 2027 180000        180000
## 2028 140000        140000
## 2029 180000        180000
## 2030 162000        162000
## 2031  99000        121809
## 2032  68000         83667
## 2033 120350        120350
## 2034  74400         74400
## 2035 185000        185000
## 2036 123000        123000
## 2037 140000        140000
## 2038  90000         90000
## 2039 214500        214500
## 2040 132600        132600
## 2041 154000        154000
## 2042 103000        103000
## 2043  90000         90000
## 2044  80000         80000
## 2045 140000        140000
## 2046 100000        100000
## 2047 170000        170000
## 2048 100000        100000
## 2049 115000        115000
## 2050 105000        105000
## 2051 296100        296100
## 2052 144500        144500
## 2053 220000        220000
## 2054 187000        187000
## 2055 118600        118600
## 2056  96800         96800
## 2057 100000        100000
## 2058  45000         48585
## 2059 142000        142000
## 2060 128000        128000
## 2061  99500         99500
## 2062  53300         53300
## 2063 210000        210000
## 2064 165000        165000
## 2065 172000        172000
## 2066 125000        125000
## 2067 250000        250000
## 2068 190000        190000
## 2069 245000        245000
## 2070 245000        245000
## 2071 234900        234900
## 2072  68400         68400
## 2073 155000        155000
## 2074 139000        139000
## 2075 142000        142000
## 2076 128000        128000
## 2077 172000        172000
## 2078 125000        125000
## 2079 128000        128000
## 2080  81500         81500
## 2081 167500        167500
## 2082 106500        106500
## 2083 150000        150000
## 2084 100000        100000
## 2085 139600        139600
## 2086  85700         85700
## 2087 100000        100000
## 2088 143000        143000
## 2089  95000         95000
## 2090 145000        145000
## 2091 130000        130000
## 2092 330000        330000
## 2093 188000        188000
## 2094 238000        238000
## 2095 156000        156000
## 2096 145000        145000
## 2097 106000        106000
## 2098 140000        172256
## 2099 100000        123040
## 2100 297300        297300
## 2101 198200        198200
## 2102 269100        269100
## 2103 131300        131300
## 2104 220000        220000
## 2105 150000        150000
## 2106  60000         73824
## 2107  50000         61520
## 2108 252990        252990
## 2109 162170        162170
## 2110 260000        260000
## 2111 235000        235000
## 2112 204500        204500
## 2113 142200        142200
## 2114 190000        190000
## 2115 145000        145000
## 2116 212800        212800
## 2117 111600        111600
## 2118 175000        175000
## 2119 130000        130000
## 2120 194521        194521
## 2121 176838        176838
## 2122 200000        200000
## 2123 170000        170000
## 2124 191765        191765
## 2125 134236        134236
## 2126 238000        238000
## 2127 156000        156000
## 2128 198800        198800
## 2129  90700         90700
## 2130 154800        154800
## 2131  76300         76300
## 2132 130000        130000
## 2133 115000        115000
## 2134 110000        110000
## 2135  70000         70000
## 2136  39000         42107
## 2137 300000        300000
## 2138 200000        200000
## 2139 155000        155000
## 2140 135000        135000
## 2141 115500        115500
## 2142  73500         73500
## 2143 179000        179000
## 2144 109000        109000
## 2145 180000        180000
## 2146 140000        140000
## 2147 221000        221000
## 2148 180000        180000
## 2149 222200        222200
## 2150 136000        136000
## 2151 275000        275000
## 2152 170000        170000
## 2153 233300        233300
## 2154 155500        155500
## 2155 222200        222200
## 2156 136000        136000
## 2157 193000        193000
## 2158 110000        110000
## 2159 306000        306000
## 2160 180000        180000
## 2161 212800        212800
## 2162 115100        115100
## 2163 238000        238000
## 2164 176000        176000
## 2165 117500        117500
## 2166  86720         86720
## 2167 167000        167000
## 2168 150000        150000
## 2169  90000         90000
## 2170  70000         70000
## 2171 212800        212800
## 2172 111600        111600
## 2173 306000        306000
## 2174 204000        204000
## 2175 135000        135000
## 2176 110000        110000
## 2177 165000        165000
## 2178 116300        116300
## 2179 200000        200000
## 2180 175000        175000
## 2181 185000        185000
## 2182  79600         79600
## 2183 180514        180514
## 2184 108308        108308
## 2185 200000        200000
## 2186 150000        150000
## 2187 208450        208450
## 2188 151600        151600
## 2189 324000        324000
## 2190 159000        159000
## 2191 155000        155000
## 2192 135000        135000
## 2193 223250        223250
## 2194 156275        156275
## 2195 220000        220000
## 2196 160000        160000
## 2197 168000        168000
## 2198 130000        130000
## 2199 245000        245000
## 2200 185000        185000
## 2201 164000        164000
## 2202 130000        130000
## 2203  67500         67500
## 2204  46500         46500
## 2205 270000        270000
## 2206 232200        232200
## 2207  40000         43187
## 2208 105000        105000
## 2209  78000         78000
## 2210 115500        115500
## 2211  73500         73500
## 2212 370000        370000
## 2213 220000        220000
## 2214 155000        155000
## 2215 130000        130000
## 2216 178200        178200
## 2217 115000        115000
## 2218 250000        250000
## 2219 125000        125000
## 2220 204000        204000
## 2221 150000        150000
## 2222 110000        110000
## 2223  95000         95000
## 2224 143000        143000
## 2225  95000         95000
## 2226 250000        250000
## 2227 125000        125000
## 2228 280000        280000
## 2229 240000        240000
## 2230 110400        110400
## 2231  68000         68000
## 2232 216000        216000
## 2233 184000        184000
## 2234 192000        192000
## 2235 164000        164000
## 2236 220000        220000
## 2237 160000        160000
## 2238 225000        225000
## 2239 156400        156400
## 2240 297300        297300
## 2241 198200        198200
## 2242 192000        192000
## 2243 164000        164000
## 2244 168000        168000
## 2245 112000        112000
## 2246 204500        204500
## 2247 142200        142200
## 2248 253430        253430
## 2249 212780        212780
## 2250 190000        190000
## 2251 152000        152000
## 2252 265800        265800
## 2253 165500        165500
## 2254 193000        193000
## 2255 134000        134000
## 2256 180000        180000
## 2257 150000        150000
## 2258 120681        120681
## 2259  72409         72409
## 2260 180000        180000
## 2261 139750        139750
## 2262 222200        222200
## 2263 136000        136000
## 2264 254000        254000
## 2265 200000        200000
## 2266 260000        260000
## 2267 192000        192000
## 2268 272290        272290
## 2269 169374        169374
## 2270 195000        195000
## 2271 204500        204500
## 2272 142200        142200
## 2273  17000         17000
## 2274 181500        181500
## 2275 112200        112200
## 2276 204500        204500
## 2277 142200        142200
## 2278 180000        180000
## 2279 162000        162000
## 2280 150000        150000
## 2281 100000        100000
## 2282 250500        250500
## 2283 166600        166600
## 2284 247500        247500
## 2285 172200        172200
## 2286 247500        247500
## 2287 172200        172200
## 2288 223290        223290
## 2289 131310        131310
## 2290  60000         44753
## 2291  35000         35000
## 2292  50000         53984
## 2293 226600        226600
## 2294 140100        140100
## 2295 204500        204500
## 2296 142200        142200
## 2297 220000        220000
## 2298 140000        140000
## 2299 204600        204600
## 2300 126500        126500
## 2301 135960        135960
## 2302  70960         70960
## 2303 128750        128750
## 2304  86250         86250
## 2305  90000        110736
## 2306  75000         92280
## 2307 131000        131000
## 2308  88000         88000
## 2309 185100        185100
## 2310 133300        133300
## 2311 180000        180000
## 2312 150000        150000
## 2313  90000         90000
## 2314  75000         75000
## 2315 130000        130000
## 2316  60000         73824
## 2317  50000         61520
## 2318 115500        115500
## 2319  73500         73500
## 2320 125000        125000
## 2321  85000         85000
## 2322  80000         80000
## 2323  70000         70000
## 2324 260000        260000
## 2325 160000        160000
## 2326 105000        105000
## 2327  80000         80000
## 2328 150000        150000
## 2329  95000         95000
## 2330 204750        204750
## 2331 153550        153550
## 2332 150000        150000
## 2333 120000        120000
## 2334 150000        150000
## 2335 110000        110000
## 2336 200000        200000
## 2337 141000        141000
## 2338 230000        230000
## 2339 175000        175000
## 2340 150000        150000
## 2341 120000        120000
## 2342 207611        207611
## 2343 127876        127876
## 2344 175000        175000
## 2345 135000        135000
## 2346 100000        100000
## 2347  75000         75000
## 2348 170000        170000
## 2349 144500        144500
## 2350 204500        204500
## 2351 142200        142200
## 2352 255360        255360
## 2353 212800        212800
## 2354 170000        170000
## 2355 100000        100000
## 2356 106400        106400
## 2357  81800         81800
## 2358 130000        130000
## 2359  69139         69139
## 2360 100631        100631
## 2361  80505         80505
## 2362 300105        300105
## 2363 151090        151090
## 2364 217600        217600
## 2365 145000        145000
## 2366  65000         79976
## 2367  45000         55368
## 2368 129000        129000
## 2369 110000        110000
## 2370 185000        185000
## 2371  50000         50000
## 2372 210000        210000
## 2373 108000        108000
## 2374  80000         80000
## 2375  59500         59500
## 2376 250000        250000
## 2377 173400        173400
## 2378 215000        215000
## 2379 153000        153000
## 2380 171000        210398
## 2381 120000        147648
## 2382 105000        105000
## 2383  75000         75000
## 2384  60000         60000
## 2385  54000         54000
## 2386 202000        202000
## 2387 132000        132000
## 2388 185900        185900
## 2389 129300        129300
## 2390 204500        204500
## 2391 142200        142200
## 2392  60000         73824
## 2393  50000         61520
## 2394 316000        316000
## 2395 202000        202000
## 2396  66000         81206
## 2397 330000        330000
## 2398 188000        188000
## 2399 140000        140000
## 2400 110000        110000
## 2401 190000        190000
## 2402 170000        170000
## 2403 180000        180000
## 2404 162000        162000
## 2405 150000        150000
## 2406 125000        125000
## 2407 140000        140000
## 2408 105000        105000
## 2409  90000         90000
## 2410  73000         73000
## 2411 145000        145000
## 2412 115000        115000
## 2413 145000        145000
## 2414 130000        130000
## 2415 204500        204500
## 2416 142200        142200
## 2417 150000        150000
## 2418 135000        135000
## 2419 247500        247500
## 2420 172200        172200
## 2421 329500        329500
## 2422 269600        269600
## 2423 225000        225000
## 2424 156400        156400
## 2425 190000        190000
## 2426 170000        170000
## 2427 185900        185900
## 2428 129300        129300
## 2429  80000         80000
## 2430  70000         70000
## 2431 204500        204500
## 2432 138900        138900
## 2433 204500        204500
## 2434 142200        142200
## 2435 115500        115500
## 2436  73500         73500
## 2437 146000        146000
## 2438  97000         97000
## 2439 147100        147100
## 2440  90700         90700
## 2441 257000        257000
## 2442 197000        197000
## 2443 140000        140000
## 2444 120000        120000
## 2445  85000         85000
## 2446  79000         79000
## 2447  93919         93919
## 2448  51962         51962
## 2449 155000        155000
## 2450  84800         84800
## 2451 250500        250500
## 2452 166600        166600
## 2453 110000        135344
## 2454  80000         98432
## 2455 174500        174500
## 2456 113000        113000
## 2457 135000        135000
## 2458  90000         90000
## 2459 200000        246080
## 2460 150000        184560
## 2461 135000        135000
## 2462  90000         90000
## 2463  49200         53120
## 2464  31200         33686
## 2465 260000        260000
## 2466 225000        225000
## 2467 226600        226600
## 2468 140100        140100
## 2469 204600        204600
## 2470 126500        126500
## 2471 340000        340000
## 2472 212000        212000
## 2473 213600        213600
## 2474 142400        142400
## 2475 153600        153600
## 2476 106800        106800
## 2477 309000        309000
## 2478 142000        142000
## 2479 125000        125000
## 2480  85000         85000
## 2481 226600        226600
## 2482 140100        140100
## 2483 303050        303050
## 2484 202350        202350
## 2485 143000        143000
## 2486  95000         95000
## 2487 185000        185000
## 2488  79600         79600
## 2489 207900        207900
## 2490 158400        158400
## 2491 303050        303050
## 2492 202350        202350
## 2493 385000        385000
## 2494 200000        200000
## 2495 241300        241300
## 2496 211949        211949
## 2497 115000        115000
## 2498  90000         90000
## 2499 172200        172200
## 2500 131200        131200
## 2501 105000        105000
## 2502  70000         70000
## 2503 253000        253000
## 2504 123800        123800
## 2505 240000        240000
## 2506 142500        142500
## 2507 150000         34924
## 2508 330000        330000
## 2509 204000        204000
## 2510 180000        180000
## 2511 160000        160000
## 2512 193600        193600
## 2513 130838        130838
## 2514 225500        225500
## 2515 139400        139400
## 2516 143000        143000
## 2517  95000         95000
## 2518 328133        328133
## 2519 218755        218755
## 2520 250830        250830
## 2521 143370        143370
## 2522 260000        260000
## 2523 160000        160000
## 2524 203500        203500
## 2525 166500        166500
## 2526 180000        180000
## 2527 162000        162000
## 2528 145000        145000
## 2529 115000        115000
## 2530 180400        180400
## 2531 138800        138800
## 2532 148350        148350
## 2533  87400         87400
## 2534  87500         87500
## 2535  62500         62500
## 2536 157550        157550
## 2537 104650        104650
## 2538 115500        115500
## 2539  73500         73500
## 2540 309000        309000
## 2541 142000        142000
## 2542 139500        139500
## 2543 118575        118575
## 2544 129150        129150
## 2545  98400         98400
## 2546 192500        192500
## 2547 140000        140000
## 2548  55000         67672
## 2549  55000         67672
## 2550  98010         98010
## 2551  66825         66825
## 2552 145000        145000
## 2553 130000        130000
## 2554  95000         95000
## 2555  80000         80000
## 2556 204500        204500
## 2557 142200        142200
## 2558 120000        120000
## 2559 100000        100000
## 2560 190000        190000
## 2561 170000        170000
## 2562 155000        155000
## 2563 130000        130000
## 2564 115500        115500
## 2565  73500         73500
## 2566 204500        204500
## 2567 142200        142200
## 2568 170000        170000
## 2569 120000        120000
## 2570 229000        229000
## 2571 131000        131000
## 2572  85000        104584
## 2573  75000         92280
## 2574 192000        192000
## 2575 164000        164000
## 2576 181500        181500
## 2577 112200        112200
## 2578 223800        223800
## 2579 172100        172100
## 2580 258800        258800
## 2581 199200        199200
## 2582 185000        185000
## 2583 148000        148000
## 2584 193600        193600
## 2585 119700        119700
## 2586 175750        175750
## 2587 136742        136742
## 2588 257400        257400
## 2589 193500        193500
## 2590 228856        228856
## 2591 144540        144540
## 2592 170000        170000
## 2593 140000        140000
## 2594 155000        155000
## 2595 125000        125000
## 2596 170000        170000
## 2597 140000        140000
## 2598 150600        150600
## 2599 120500        120500
## 2600 176000        176000
## 2601 152000        152000
## 2602 200000        200000
## 2603 115500        115500
## 2604  73500         73500
## 2605 110000        135344
## 2606  80000         98432
## 2607 225000        225000
## 2608 172758        172758
## 2609  70000         86128
## 2610  55000         67672
## 2611 110000        110000
## 2612  85000         85000
## 2613  42000         51676
## 2614  35000         43064
## 2615 245000        245000
## 2616 194992        194992
## 2617 140000        140000
## 2618 100000        100000
## 2619 213800        213800
## 2620 180300        180300
## 2621 145000        145000
## 2622  90000         90000
## 2623 375500        375500
## 2624 250300        250300
## 2625 250500        250500
## 2626 166600        166600
## 2627 262269        262269
## 2628 230797        230797
## 2629 147100        147100
## 2630  90700         90700
## 2631 185000        185000
## 2632 145000        145000
## 2633 100000        123040
## 2634  75000         92280
## 2635  80000         98432
## 2636  50750         62442
## 2637 115000        115000
## 2638  90000         90000
## 2639 195000        195000
## 2640  73500         73500
## 2641 155000        155000
## 2642  84800         84800
## 2643 185000        185000
## 2644 145000        145000
## 2645 158900        158900
## 2646 132400        132400
## 2647 140000        140000
## 2648 130000        130000
## 2649 100000        100000
## 2650 163800        163800
## 2651 126000        126000
## 2652 225000        225000
## 2653 111967        111967
## 2654 205600        205600
## 2655 105700        105700
## 2656 115500        115500
## 2657  73500         73500
## 2658 104000        104000
## 2659  88000         88000
## 2660 216027        216027
## 2661 101028        101028
## 2662  45000         48585
## 2663  36000         38868
## 2664 309400        309400
## 2665 159100        159100
## 2666 142000        142000
## 2667 128000        128000
## 2668 174350        174350
## 2669 126800        126800
## 2670 226600        226600
## 2671 140100        140100
## 2672 180000        180000
## 2673 162000        162000
## 2674 262000        262000
## 2675 186000        186000
## 2676 185000        185000
## 2677  79600         79600
## 2678 129000        129000
## 2679  95000         95000
## 2680 175000        175000
## 2681 120000        120000
## 2682  75000         92280
## 2683  55000         67672
## 2684  27500         29691
## 2685 130000        130000
## 2686 105000        105000
## 2687 232200        232200
## 2688 119000        119000
## 2689 268000        268000
## 2690 137500        137500
## 2691 153300        153300
## 2692 104244        104244
## 2693 216000        216000
## 2694 184000        184000
## 2695 190000        190000
## 2696 145000        145000
## 2697 155000        155000
## 2698 135000        135000
## 2699 226000        226000
## 2700 160000        160000
## 2701  80000         80000
## 2702  70000         70000
## 2703 198800        198800
## 2704 122600        122600
## 2705 230000        230000
## 2706 196000        196000
## 2707 181500        181500
## 2708 127000        127000
## 2709 210000        210000
## 2710 120000        120000
## 2711 385000        385000
## 2712 245000        245000
## 2713 225000        225000
## 2714 175000        175000
## 2715 148500        110019
## 2716 117000         86682
## 2717 131650        131650
## 2718 105320        105320
## 2719 210000        210000
## 2720 151800        151800
## 2721 147500        147500
## 2722 112500        112500
## 2723 240000        240000
## 2724 163200        163200
## 2725 134200        134200
## 2726 103200        103200
## 2727  65000         65000
## 2728  55000         55000
## 2729 234000        234000
## 2730 176000        176000
## 2731 165400        165400
## 2732 127300        127300
## 2733 180400        180400
## 2734 138800        138800
## 2735 100000        107968
## 2736  30390         32811
## 2737 185900        185900
## 2738 129300        129300
## 2739 115500        115500
## 2740  73500         73500
## 2741 145000        145000
## 2742 135000        135000
## 2743 126900        126900
## 2744  77900         77900
## 2745  85000         85000
## 2746  75000         75000
## 2747  90000        110736
## 2748  75000         92280
## 2749 330000        330000
## 2750 204000        204000
## 2751 169000        169000
## 2752 110600        110600
## 2753 115500        115500
## 2754  73500         73500
## 2755 168000        168000
## 2756 130000        130000
## 2757 225500        225500
## 2758 139400        139400
## 2759 150000        150000
## 2760 140000        140000
## 2761 226000        226000
## 2762 162000        162000
## 2763 200000        200000
## 2764 150000        150000
## 2765 195000        195000
## 2766 160000        160000
## 2767 154000        154000
## 2768  82000         82000
## 2769 160000        160000
## 2770 145000        145000
## 2771 239400        239400
## 2772 136800        136800
## 2773 329500        329500
## 2774 269600        269600
## 2775 120000        120000
## 2776 100000        100000
## 2777 204500        204500
## 2778 142200        142200
## 2779 230000        230000
## 2780 180000        180000
## 2781 164000        164000
## 2782 130000        130000
## 2783 169000        169000
## 2784  91000         91000
## 2785 323300        323300
## 2786 184700        184700
## 2787 145000        145000
## 2788 130000        130000
## 2789 170000        170000
## 2790 120000        120000
## 2791 210000        210000
## 2792 136000        136000
## 2793 171250        171250
## 2794 113750        113750
## 2795 136000        136000
## 2796 104000        104000
## 2797 195000        195000
## 2798 142000        142000
## 2799 185900        185900
## 2800 129300        129300
## 2801 194100        194100
## 2802 152300        152300
## 2803 190000        190000
## 2804 120000        120000
## 2805 240000        240000
## 2806 157250        157250
## 2807 212000        212000
## 2808 170000        170000
## 2809 194400        194400
## 2810 132192        132192
## 2811 204500        204500
## 2812 142200        142200
## 2813 174000        174000
## 2814 134000        134000
## 2815  36000         38868
## 2816 152000        152000
## 2817 144700        144700
## 2818  85500         85500
## 2819 115500        115500
## 2820  73500         73500
## 2821  49200         53120
## 2822  36000         38868
## 2823 200000        200000
## 2824 160000        160000
## 2825  67500         67500
## 2826  46500         46500
## 2827 265800        265800
## 2828 177200        177200
## 2829 222000        222000
## 2830 115920        115920
## 2831 250000        250000
## 2832 190000        190000
## 2833  60000         64781
## 2834 284310        284310
## 2835 153090        153090
## 2836 324000        324000
## 2837 159000        159000
## 2838 204500        204500
## 2839 142200        142200
## 2840 309000        309000
## 2841 142000        142000
## 2842 247300        247300
## 2843 139700        139700
## 2844  95000         95000
## 2845  80000         80000
## 2846 130500        130500
## 2847 111000        111000
## 2848 213210        213210
## 2849 102434        102434
## 2850 200000        200000
## 2851 140000        140000
## 2852 226600        226600
## 2853 140100        140100
## 2854 225000        225000
## 2855 156400        156400
## 2856 250000        250000
## 2857 176000        176000
## 2858  80000         80000
## 2859 233400        233400
## 2860 145300        145300
## 2861 248000        248000
## 2862 149000        149000
## 2863 156450        156450
## 2864 119200        119200
## 2865 115500        115500
## 2866  73500         73500
## 2867 185000        185000
## 2868 120250        120250
## 2869 216000        216000
## 2870 184000        184000
## 2871 300000        300000
## 2872 200000        200000
## 2873 230000        230000
## 2874 196000        196000
## 2875 192000        192000
## 2876 164000        164000
## 2877 225000        225000
## 2878 152700        152700
## 2879 192000        192000
## 2880 164000        164000
## 2881 115500        115500
## 2882  73500         73500
## 2883  60000         64781
## 2884 160000        160000
## 2885 140000        140000
## 2886 139152        139152
## 2887  82452         82452
## 2888 204500        204500
## 2889 142200        142200
## 2890  85000         85000
## 2891  65000         65000
## 2892 139000        139000
## 2893  85700         85700
## 2894 248100        248100
## 2895 145900        145900
## 2896 200000        200000
## 2897 145000        145000
## 2898 230000        230000
## 2899 184000        184000
## 2900 269500        269500
## 2901 166600        166600
## 2902 295500        295500
## 2903 165200        165200
## 2904 226600        226600
## 2905 140100        140100
## 2906 235000        235000
## 2907 135000        135000
## 2908 110000        110000
## 2909  75000         75000
## 2910 180000        180000
## 2911 144000        144000
## 2912  40000         49216
## 2913  35000         43064
## 2914  65000         65000
## 2915  55000         55000
## 2916 160667        160667
## 2917 130000        130000
## 2918 140400         27568
## 2919 169000        169000
## 2920 110600        110600
## 2921 225500        225500
## 2922 139400        139400
## 2923 304200        304200
## 2924 173800        173800
## 2925 191765        191765
## 2926 134326        134326
## 2927 173000        173000
## 2928 160000        160000
## 2929 258384        258384
## 2930 153100        153100
## 2931 135000        135000
## 2932  70000         70000
## 2933 168000        168000
## 2934 130000        130000
## 2935 146200        146200
## 2936 116960        116960
## 2937 226700        226700
## 2938 133300        133300
## 2939 370000        370000
## 2940 245000        245000
## 2941 208450        208450
## 2942 151600        151600
## 2943 111600        111600
## 2944  72000         72000
## 2945 359170        359170
## 2946 295490        295490
## 2947  90000         90000
## 2948  90000         90000
## 2949  84000         84000
## 2950 110000        110000
## 2951  90000         90000
## 2952 110000        110000
## 2953  70000         70000
## 2954  45000         48585
## 2955  36000         38868
## 2956  90000         90000
## 2957  75000         75000
## 2958 253000        253000
## 2959 162000        162000
## 2960 115000        115000
## 2961  85000         85000
## 2962 164000        164000
## 2963 130000        130000
## 2964 359170        359170
## 2965 295490        295490
## 2966 145900        145900
## 2967 128100        128100
## 2968 127000        127000
## 2969  95000         95000
## 2970  94600         94600
## 2971  86000         86000
## 2972  72000         72000
## 2973  60000         60000
## 2974 136000        136000
## 2975 104000        104000
## 2976 323300        323300
## 2977 184700        184700
## 2978 150000        150000
## 2979 101570        101570
## 2980 247500        247500
## 2981 172200        172200
## 2982 198800        198800
## 2983 122600        122600
## 2984 173650        173650
## 2985 113900        113900
## 2986 185000        185000
## 2987 126000        126000
## 2988 139500        139500
## 2989 110000        110000
## 2990 160000        160000
## 2991 130000        130000
## 2992 280000        280000
## 2993 200000        200000
## 2994 100000        123040
## 2995  60000         73824
## 2996 248100        248100
## 2997 145900        145900
## 2998 220000        220000
## 2999 175000        175000
## 3000 175000        175000
## 3001 150000        150000
## 3002 145000        145000
## 3003 130000        130000
## 3004 115500        115500
## 3005  73500         73500
## 3006 150000        150000
## 3007 135000        135000
## 3008 150000        150000
## 3009  85000         85000
## 3010 210000        210000
## 3011 170000        170000
## 3012 160000        160000
## 3013 108000        108000
## 3014 115000        115000
## 3015 110000        110000
## 3016 220000        220000
## 3017 185000        185000
## 3018 182500        182500
## 3019 135000        135000
## 3020 208500        208500
## 3021 165000        165000
## 3022  35000         35000
## 3023 146000        146000
## 3024  94000         94000
## 3025 225000        225000
## 3026 156400        156400
## 3027 300000        300000
## 3028  91000         91000
## 3029  86000         86000
## 3030 205500        205500
## 3031 132500        132500
## 3032 115500        115500
## 3033  73500         73500
## 3034 180000        180000
## 3035 204500        204500
## 3036 142200        142200
## 3037  97750         97750
## 3038  75000         75000
## 3039 252990        252990
## 3040 162170        162170
## 3041 216000        216000
## 3042 184000        184000
## 3043 170000        170000
## 3044 120000        120000
## 3045 133200        133200
## 3046  84000         84000
## 3047  75000         75000
## 3048  67500         67500
## 3049  70000         86128
## 3050  50000         61520
## 3051 300000        300000
## 3052 160000        160000
## 3053 142000        142000
## 3054 128000        128000
## 3055 160000        160000
## 3056 140000        140000
## 3057 265000        265000
## 3058 153000        153000
## 3059 143000        143000
## 3060 126277        126277
## 3061 230000        230000
## 3062 153000        153000
## 3063 224500        224500
## 3064 126900        126900
## 3065 115500        115500
## 3066  73500         73500
## 3067 145000        145000
## 3068 115000        115000
## 3069 227700        227700
## 3070 154836        154836
## 3071 140000        140000
## 3072 126000        126000
## 3073 165000        165000
## 3074 127000        127000
## 3075 209000        209000
## 3076 112500        112500
## 3077 140000        140000
## 3078 110000        110000
## 3079 185900        185900
## 3080 129300        129300
## 3081 370000        370000
## 3082 300000        300000
## 3083 136000        136000
## 3084 104000        104000
## 3085 214000        214000
## 3086 154000        154000
## 3087 205000        205000
## 3088 157500        157500
## 3089 255000        255000
## 3090 178000        178000
## 3091 155000        155000
## 3092 109283        109283
## 3093 189000        189000
## 3094 137000        137000
## 3095 120000        120000
## 3096 110000        110000
## 3097 204500        204500
## 3098 142200        142200
## 3099 100000        100000
## 3100  75000         75000
## 3101 181500        181500
## 3102 112200        112200
## 3103  40000         49216
## 3104  35000         43064
## 3105 170500        170500
## 3106 118575        118575
## 3107 130000        130000
## 3108 100000        100000
## 3109  93000         97712
## 3110  23100         24940
## 3111 172200        172200
## 3112 131200        131200
## 3113 154500        154500
## 3114 131325        131325
## 3115 110400        110400
## 3116  68000         68000
## 3117 115500        115500
## 3118  73500         73500
## 3119 140000        140000
## 3120 100000        100000
## 3121 192000        192000
## 3122 138240        138240
## 3123 225000        225000
## 3124 190000        190000
## 3125 207500        207500
## 3126 172900        172900
## 3127 135000        135000
## 3128  70000         70000
## 3129 254000        254000
## 3130 185000        185000
## 3131 162000        162000
## 3132 111000        111000
## 3133 225000        225000
## 3134 156400        156400
## 3135 147100        147100
## 3136  90700         90700
## 3137  90000         90000
## 3138  70000         70000
## 3139 168400        168400
## 3140 105200        105200
## 3141 237000        237000
## 3142 170112        170112
## 3143  24000         25912
## 3144 125000        134960
## 3145 155000        155000
## 3146 130000        130000
## 3147 105000        105000
## 3148  70000         70000
## 3149 140000        140000
## 3150 120000        120000
## 3151 115000        115000
## 3152  85000         85000
## 3153 260000        260000
## 3154 234000        234000
## 3155 204500        204500
## 3156 142200        142200
## 3157 330000        330000
## 3158 204000        204000
## 3159 180000        180000
## 3160 165000        165000
## 3161 185900        185900
## 3162 167310        167310
## 3163  94600         94600
## 3164  86000         86000
## 3165 297300        297300
## 3166 198200        198200
## 3167 167000        167000
## 3168 150000        150000
## 3169 121000        121000
## 3170 101570        101570
## 3171 175000        175000
## 3172 125000        125000
## 3173 325000        325000
## 3174 171000        171000
## 3175 180000        180000
## 3176 137000        137000
## 3177 265000        265000
## 3178 172000        172000
## 3179 155810        155810
## 3180 106720        106720
## 3181 160800        160800
## 3182 132200        132200
## 3183 133000        133000
## 3184 113000        113000
## 3185 105000        105000
## 3186  75000         75000
## 3187 208400        208400
## 3188 139000        139000
## 3189 157550        157550
## 3190 104650        104650
## 3191 240500        240500
## 3192 123700        123700
## 3193 205600        205600
## 3194 105700        105700
## 3195  78000         78000
## 3196 121000        121000
## 3197  78000         78000
## 3198  85600         85600
## 3199  48915         48915
## 3200  78000         78000
## 3201  68000         68000
## 3202  49500         53444
## 3203  41818         45150
## 3204 275500        275500
## 3205 206000        206000
## 3206 202800        202800
## 3207 104300        104300
## 3208  52200         56359
## 3209  44272         47799
## 3210 154000        154000
## 3211 102000        102000
## 3212 140000        140000
## 3213 100000        100000
## 3214  91000         91000
## 3215  86000         86000
## 3216 228000        228000
## 3217 136000        136000
## 3218 180000        180000
## 3219 140000        140000
## 3220 175000        175000
## 3221 155000        155000
## 3222  15662         16455
## 3223 207611        207611
## 3224 127876        127876
## 3225 111000        111000
## 3226 104000        104000
## 3227 128000        128000
## 3228  81500         81500
## 3229  50000         61520
## 3230  35000         43064
## 3231  97750         97750
## 3232  75000         75000
## 3233 238000        238000
## 3234 176000        176000
## 3235 192000        192000
## 3236  92000         92000
## 3237 195000        195000
## 3238 125000        125000
## 3239 204500        204500
## 3240 142200        142200
## 3241 132600        132600
## 3242  81500         81500
## 3243 202400        202400
## 3244 147200        147200
## 3245 175000        175000
## 3246 135000        135000
## 3247 238000        238000
## 3248 176000        176000
## 3249 239000        239000
## 3250 136000        136000
## 3251  54000         54000
## 3252  36000         36000
## 3253 176000        176000
## 3254 118720        118720
## 3255 204500        204500
## 3256 138900        138900
## 3257 140000        140000
## 3258  95000         95000
## 3259 240000        240000
## 3260 157000        157000
## 3261 165000        165000
## 3262 136000        136000
## 3263 230000        230000
## 3264 196000        196000
## 3265 272300        272300
## 3266 222800        222800
## 3267 167500        167500
## 3268 106500        106500
## 3269 172750        172750
## 3270  82500         82500
## 3271 165600        165600
## 3272  65800         65800
## 3273 192000        192000
## 3274 164000        164000
## 3275 145000        145000
## 3276 130000        130000
## 3277 226600        226600
## 3278 140100        140100
## 3279 185900        185900
## 3280 129300        129300
## 3281 331640        331640
## 3282 267720        267720
## 3283 281000        281000
## 3284 181000        181000
## 3285 207611        207611
## 3286 127876        127876
## 3287 225000        225000
## 3288 168000        168000
## 3289 280600        280600
## 3290 158600        158600
## 3291 200000        200000
## 3292 140000        140000
## 3293 283780        283780
## 3294 218540        218540
## 3295 178500        178500
## 3296 100000        100000
## 3297 323300        323300
## 3298 184700        184700
## 3299 248100        248100
## 3300 145900        145900
## 3301 100000        123040
## 3302  85000        104584
## 3303 185000        185000
## 3304 137700        137700
## 3305 205500        205500
## 3306 132500        132500
## 3307  65100         65100
## 3308  44640         44640
## 3309 181500        181500
## 3310 112200        112200
## 3311 192000        192000
## 3312 164000        164000
## 3313 161000        161000
## 3314 123000        123000
## 3315 247300        247300
## 3316 139700        139700
## 3317 145000        145000
## 3318 106000        106000
## 3319 200000        200000
## 3320 160000        160000
## 3321 204600        204600
## 3322 126500        126500
## 3323 278700        278700
## 3324 159300        159300
## 3325 180000        180000
## 3326 140000        140000
## 3327 238000        238000
## 3328 176000        176000
## 3329 125000        125000
## 3330  65000         65000
## 3331 230000        230000
## 3332 175000        175000
## 3333 130000        130000
## 3334 100000        100000
## 3335 252990        252990
## 3336 162170        162170
## 3337 183000        183000
## 3338 122000        122000
## 3339 253000        253000
## 3340 172040        172040
## 3341 310270        310270
## 3342 239080        239080
## 3343  85000         85000
## 3344  70000         70000
## 3345 135000        135000
## 3346 125000        125000
## 3347 253000        253000
## 3348 172040        172040
## 3349 135000        135000
## 3350 108000        108000
## 3351 225500        225500
## 3352 139400        139400
## 3353 120000        129562
## 3354  50000         50000
## 3355 227850        227850
## 3356 180500        180500
## 3357  90000         90000
## 3358  70000         70000
## 3359 199000        199000
## 3360 159000        159000
## 3361 350000        350000
## 3362  80000         80000
## 3363 240000        240000
## 3364 160000        160000
## 3365 145000        145000
## 3366 115000        115000
## 3367 107500        107500
## 3368  96750         96750
## 3369 174000        174000
## 3370 104000        104000
## 3371 275300        275300
## 3372 183500        183500
## 3373 250000        250000
## 3374 225000        225000
## 3375 174350        174350
## 3376 126800        126800
## 3377 284050        284050
## 3378 193800        193800
## 3379 300000        300000
## 3380 200000        200000
## 3381 232989        232989
## 3382 140000        140000
## 3383  85000         85000
## 3384 204500        204500
## 3385 142200        142200
## 3386 147100        147100
## 3387  90700         90700
## 3388 140000        140000
## 3389  95000         95000
## 3390 204500        204500
## 3391 138900        138900
## 3392 168400        168400
## 3393 105200        105200
## 3394 205500        205500
## 3395 132500        132500
## 3396 147100        147100
## 3397  90700         90700
## 3398 247500        247500
## 3399 172200        172200
## 3400 192000        192000
## 3401 138240        138240
## 3402 168400        168400
## 3403 105200        105200
## 3404 150550        150550
## 3405 116710        116710
## 3406 180000        180000
## 3407 162000        162000
## 3408 226600        226600
## 3409 140100        140100
## 3410 147100        147100
## 3411  90700         90700
## 3412 175000        175000
## 3413 120000        120000
## 3414 147100        147100
## 3415  90700         90700
## 3416 168400        168400
## 3417 105200        105200
## 3418 125000        125000
## 3419 100000        100000
## 3420 198800        198800
## 3421 105200        105200
## 3422 115500        115500
## 3423  73500         73500
## 3424 150600        150600
## 3425 120500        120500
## 3426 183000        183000
## 3427 140000        140000
## 3428 167500        167500
## 3429 106500        106500
## 3430 175000        175000
## 3431 125000        125000
## 3432 239000        239000
## 3433 149000        149000
## 3434 128000        128000
## 3435  81500         81500
## 3436 185000        185000
## 3437 122000        122000
## 3438 202800        202800
## 3439 104300        104300
## 3440 181500        181500
## 3441 127000        127000
## 3442 186000        186000
## 3443 138000        138000
## 3444 185000        185000
## 3445 122000        122000
## 3446 196000        196000
## 3447 142600        142600
## 3448 205000        205000
## 3449 150000        150000
## 3450 140000        140000
## 3451 112000        112000
## 3452 139000        139000
## 3453  85700         85700
## 3454  36000         36000
## 3455 130000        130000
## 3456  91270         91270
## 3457 226600        226600
## 3458 140100        140100
## 3459 225000        225000
## 3460 156400        156400
## 3461 222200        222200
## 3462 136000        136000
## 3463 180000        180000
## 3464 165000        165000
## 3465 247000        247000
## 3466 118440        118440
## 3467 145000        145000
## 3468 130000        130000
## 3469 204500        204500
## 3470 138900        138900
## 3471 297300        297300
## 3472 198200        198200
## 3473 172200        172200
## 3474 131200        131200
## 3475  90000        110736
## 3476  70000         86128
## 3477 204500        204500
## 3478 138900        138900
## 3479  87500         87500
## 3480  62500         62500
## 3481 244000        244000
## 3482 157000        157000
## 3483 157550        157550
## 3484 104650        104650
## 3485 136000        136000
## 3486  90600         90600
## 3487  40000         49216
## 3488  35000         43064
## 3489 160000        160000
## 3490  85000         91773
## 3491 120350        120350
## 3492  74400         74400
## 3493 281000        281000
## 3494 181000        181000
## 3495 280600        280600
## 3496 158600        158600
## 3497 315300        315300
## 3498 210200        210200
## 3499 177000        177000
## 3500 110000        110000
## 3501 185000        185000
## 3502  79600         79600
## 3503  65000         65000
## 3504  55000         55000
## 3505 250000        250000
## 3506 160000        160000
## 3507 183200        183200
## 3508 122200        122200
## 3509 100000        100000
## 3510  75000         75000
## 3511 185000        185000
## 3512 145000        145000
## 3513 150000        150000
## 3514 131000        131000
## 3515 101000        101000
## 3516 170000        170000
## 3517 130000        130000
## 3518 171050        171050
## 3519 124400        124400
## 3520 135000        135000
## 3521 110000        110000
## 3522 187000        187000
## 3523 128000        128000
## 3524 177000        177000
## 3525 110000        110000
## 3526 138000        138000
## 3527  92000         92000
## 3528 200000        200000
## 3529 160000        160000
## 3530 138000        138000
## 3531  92000         92000
## 3532 140000        140000
## 3533 120000        120000
## 3534 241300        241300
## 3535 124100        124100
## 3536 185000        185000
## 3537 152000        152000
## 3538 138000        138000
## 3539  92000         92000
## 3540 288000        288000
## 3541 160000        160000
## 3542  93918         93918
## 3543  51962         51962
## 3544 100000        107968
## 3545  83913         90599
## 3546 189750        189750
## 3547 145000        145000
## 3548 225500        225500
## 3549 139400        139400
## 3550 130000        130000
## 3551  95000         95000
## 3552 359170        359170
## 3553 310270        310270
## 3554 252000        252000
## 3555 140000        140000
## 3556 111024         82254
## 3557  83280         61699
## 3558 247500        247500
## 3559 172200        172200
## 3560  87500         87500
## 3561  62500         62500
## 3562 146000        146000
## 3563 108000        108000
## 3564 204500        204500
## 3565 142200        142200
## 3566 138000        138000
## 3567  92000         92000
## 3568 273000        273000
## 3569 166500        166500
## 3570  65000         65000
## 3571  45000         45000
## 3572 180000        180000
## 3573 150000        150000
## 3574 174000        174000
## 3575 139000        139000
## 3576 212800        212800
## 3577 124100        124100
## 3578 247500        247500
## 3579 172200        172200
## 3580 189750        189750
## 3581 119213        119213
## 3582 190000        190000
## 3583 140000        140000
## 3584 228830        228830
## 3585 148590        148590
## 3586 140000        140000
## 3587 180514        180514
## 3588 108308        108308
## 3589 220000        220000
## 3590 170000        170000
## 3591 169000        169000
## 3592 110600        110600
## 3593 180514        180514
## 3594 108308        108308
## 3595 247300        247300
## 3596 139700        139700
## 3597  72000         77737
## 3598  59565         64311
## 3599 205500        205500
## 3600 132500        132500
## 3601  75000         75000
## 3602  65000         65000
## 3603 121000        121000
## 3604  78000         78000
## 3605 160000        160000
## 3606 145000        145000
## 3607  70000         75577
## 3608  57826         62433
## 3609 238000        238000
## 3610 156000        156000
## 3611 204500        204500
## 3612 138900        138900
## 3613 204500        204500
## 3614 142200        142200
## 3615 160000        160000
## 3616 120000        120000
## 3617 254000        254000
## 3618 200000        200000
## 3619 228000        228000
## 3620 136000        136000
## 3621 233300        233300
## 3622 155500        155500
## 3623  60000         64781
## 3624  94000         94000
## 3625  81900         81900
## 3626 190000        190000
## 3627 140000        140000
## 3628 199000        199000
## 3629 162000        162000
## 3630  75000         92280
## 3631  55000         67672
## 3632 208000        208000
## 3633 109500        109500
## 3634 240000        240000
## 3635 238530        238530
## 3636  95000         95000
## 3637  82000         82000
## 3638  80000         80000
## 3639  70000         70000
## 3640 155000        155000
## 3641 130000        130000
## 3642 169000        169000
## 3643 110600        110600
## 3644 190000        190000
## 3645 150000        150000
## 3646 154700        154700
## 3647 118900        118900
## 3648 232960        232960
## 3649 166400        166400
## 3650 156000        156000
## 3651 105000        105000
## 3652 193000        193000
## 3653 143000        143000
## 3654 190000        190000
## 3655 140000        140000
## 3656 138860        138860
## 3657 119610        119610
## 3658 205485        205485
## 3659 156560        156560
## 3660 230000        230000
## 3661 175000        175000
## 3662 210600        210600
## 3663 135000        135000
## 3664 265000        265000
## 3665 153000        153000
## 3666 260000        260000
## 3667 170000        170000
## 3668 105000        105000
## 3669  65000         65000
## 3670 157550        157550
## 3671 104650        104650
## 3672 225000        225000
## 3673 156400        156400
## 3674 150000        150000
## 3675 125000        125000
## 3676 135000        135000
## 3677 100000        100000
## 3678 100000        100000
## 3679  59000         59000
## 3680  57000         70132
## 3681  42000         51676
## 3682  75000         92280
## 3683  65000         79976
## 3684  15000         15000
## 3685  60000         64781
## 3686 225000        225000
## 3687 156400        156400
## 3688 144100        144100
## 3689  89100         89100
## 3690 185900        185900
## 3691 129300        129300
## 3692 177000        177000
## 3693 110000        110000
## 3694 140000        140000
## 3695 100000        100000
## 3696 145000        145000
## 3697 115000        115000
## 3698 193600        193600
## 3699 119700        119700
## 3700  94000         94000
## 3701  81900         81900
## 3702 164000        164000
## 3703 130000        130000
## 3704 190000        190000
## 3705 140000        140000
## 3706 122000        131721
## 3707 323300        323300
## 3708 184700        184700
## 3709 180000        180000
## 3710 120000        120000
## 3711  93918         93918
## 3712  51962         51962
## 3713 150000        150000
## 3714 130000        130000
## 3715 242000        242000
## 3716 134000        134000
## 3717 104000        104000
## 3718  86000         86000
## 3719 258800        258800
## 3720 199200        199200
## 3721 201000        201000
## 3722 122000        122000
## 3723 110000        110000
## 3724  90000         90000
## 3725 141100        141100
## 3726  94100         94100
## 3727 210000        210000
## 3728 165000        165000
## 3729 185900        185900
## 3730 129300        129300
## 3731 140000        140000
## 3732 126000        126000
## 3733 170000        170000
## 3734 130000        130000
## 3735  85000        104584
## 3736  75000         92280
## 3737 208500        208500
## 3738 165000        165000
## 3739  72000         77737
## 3740  80000         86374
## 3741 169000        169000
## 3742 110600        110600
## 3743 185900        185900
## 3744 129300        129300
## 3745 225000        225000
## 3746 156400        156400
## 3747 309000        309000
## 3748 142000        142000
## 3749 225000        225000
## 3750 156400        156400
## 3751 204500        204500
## 3752 138900        138900
## 3753 185900        185900
## 3754 129300        129300
## 3755 323300        323300
## 3756 184700        184700
## 3757 247500        247500
## 3758 172200        172200
## 3759 204500        204500
## 3760 142200        142200
## 3761 135000        135000
## 3762 110000        110000
## 3763 180514        180514
## 3764 108308        108308
## 3765 118800        118800
## 3766  75000         75000
## 3767 145000        145000
## 3768 130000        130000
## 3769 180514        180514
## 3770 108308        108308
## 3771 193600        193600
## 3772 119700        119700
## 3773 130800        130800
## 3774  87200         87200
## 3775 215000        215000
## 3776 150000        150000
## 3777 247500        247500
## 3778 172200        172200
## 3779  50000         61520
## 3780  40000         49216
## 3781 204500        204500
## 3782 142200        142200
## 3783 169000        169000
## 3784 110600        110600
## 3785 204500        204500
## 3786 142200        142200
## 3787 238000        238000
## 3788 173000        173000
## 3789 225000        225000
## 3790 156400        156400
## 3791 204500        204500
## 3792 142200        142200
## 3793 225000        225000
## 3794 156400        156400
## 3795 185900        185900
## 3796 129300        129300
## 3797 205785        205785
## 3798 123471        123471
## 3799 299500        299500
## 3800 245100        245100
## 3801 153600        153600
## 3802 106800        106800
## 3803  40000         40000
## 3804  66000         71259
## 3805 125000        125000
## 3806  90000         90000
## 3807 290000        290000
## 3808 226000        226000
## 3809 222200        222200
## 3810 136000        136000
## 3811 161000        161000
## 3812 151000        151000
## 3813  49200         53120
## 3814  36000         38868
## 3815 136994        136994
## 3816 101570        101570
## 3817 214500        214500
## 3818 150000        150000
## 3819 150000        150000
## 3820 120000        120000
## 3821 278300        278300
## 3822 205700        205700
## 3823 185900        185900
## 3824 167310        167310
## 3825 114000        114000
## 3826 100000        100000
## 3827 260000        260000
## 3828 136000        136000
## 3829 162000        162000
## 3830 111000        111000
## 3831 225500        225500
## 3832 139400        139400
## 3833 225000        225000
## 3834 156400        156400
## 3835 177000        177000
## 3836 110000        110000
## 3837 120350        120350
## 3838  74400         74400
## 3839 194000        194000
## 3840 161000        161000
## 3841  30000         32390
## 3842 184950        184950
## 3843 119250        119250
## 3844 178500        178500
## 3845 136000        136000
## 3846 189000        189000
## 3847 159090        159090
## 3848  91000         91000
## 3849  82000         82000
## 3850 149076        149076
## 3851  82365         82365
## 3852 192000        192000
## 3853 164000        164000
## 3854 175000        175000
## 3855 125000        125000
## 3856 194595        194595
## 3857 158000        158000
## 3858 240500        240500
## 3859 123700        123700
## 3860 212800        212800
## 3861 111600        111600
## 3862 257400        257400
## 3863 193500        193500
## 3864 305000        305000
## 3865 245000        245000
## 3866 205485        205485
## 3867 156560        156560
## 3868 168000        168000
## 3869  78400         78400
## 3870 260000        260000
## 3871 175000        175000
## 3872 130002        130002
## 3873  71908         71908
## 3874 212000        212000
## 3875 132000        132000
## 3876 177000        177000
## 3877 110000        110000
## 3878 164000        164000
## 3879 130000        130000
## 3880 185900        185900
## 3881 129300        129300
## 3882 248100        248100
## 3883 145900        145900
## 3884 148000        148000
## 3885  92000         92000
## 3886 248100        248100
## 3887 145900        145900
## 3888 155000        155000
## 3889  38000         38000
## 3890 218000        218000
## 3891 115000        115000
## 3892 104000        104000
## 3893  86000         86000
## 3894 235400        235400
## 3895 108320        108320
## 3896  95000         95000
## 3897  82000         82000
## 3898 152375        152375
## 3899  94000         94000
## 3900 115934        115934
## 3901  81666         81666
## 3902 110000        110000
## 3903  79000         79000
## 3904 273400        273400
## 3905 182200        182200
## 3906 160000        160000
## 3907 112000        112000
## 3908 285000        285000
## 3909 154000        154000
## 3910 220000        220000
## 3911 170000        170000
## 3912 174500        174500
## 3913 113000        113000
## 3914 225000        225000
## 3915 125000        125000
## 3916 200000        200000
## 3917 180000        180000
## 3918 250000        250000
## 3919 125000        125000
## 3920 110000        110000
## 3921  90000         90000
## 3922 275000        275000
## 3923 200000        200000
## 3924 275000        275000
## 3925 200000        200000
## 3926 258800        258800
## 3927 199200        199200
## 3928 177000        177000
## 3929 136000        136000
## 3930 110000        110000
## 3931  80000         80000
## 3932 115000        115000
## 3933  75000         75000
## 3934 138860        138860
## 3935 122720        122720
## 3936 140000        140000
## 3937 126000        126000
## 3938 231500        231500
## 3939 118000        118000
## 3940 299500        299500
## 3941 249600        249600
## 3942 185000        185000
## 3943  79600         79600
## 3944 193600        193600
## 3945 119700        119700
## 3946 240500        240500
## 3947 123700        123700
## 3948 120000        120000
## 3949 110000        110000
## 3950 100000        100000
## 3951  75000         75000
## 3952 297000        297000
## 3953 138000        138000
## 3954 135000        135000
## 3955 105000        105000
## 3956 267100        267100
## 3957 167200        167200
## 3958 202000        202000
## 3959 140000        140000
## 3960 174350        174350
## 3961 126800        126800
## 3962 258800        258800
## 3963 199200        199200
## 3964 188500        188500
## 3965 117000        117000
## 3966 150931        150931
## 3967 143250        143250
## 3968 330000        330000
## 3969 204000        204000
## 3970 247500        247500
## 3971 172200        172200
## 3972 200000        200000
## 3973 160000        160000
## 3974 205600        205600
## 3975 105700        105700
## 3976 324000        324000
## 3977 159000        159000
## 3978 231000        231000
## 3979 157250        157250
## 3980 240000        240000
## 3981 157250        157250
## 3982 232000        232000
## 3983 108000        108000
## 3984 145000        145000
## 3985 130000        130000
## 3986 277300        277300
## 3987 213300        213300
## 3988 180000        180000
## 3989 135000        135000
## 3990 209000        209000
## 3991 135000        135000
## 3992 260000        260000
## 3993 136000        136000
## 3994 209000        209000
## 3995 135000        135000
## 3996 184250        184250
## 3997 167500        167500
## 3998  95000         95000
## 3999  85000         85000
## 4000 230000        230000
## 4001 175000        175000
## 4002  90000        110736
## 4003  75000         92280
## 4004 154440        154440
## 4005  68550         68550
## 4006  90000         90000
## 4007  60000         60000
## 4008 226600        226600
## 4009 140100        140100
## 4010 169000        169000
## 4011 110600        110600
## 4012 171050        171050
## 4013 124400        124400
## 4014 225500        225500
## 4015 139400        139400
## 4016 226600        226600
## 4017 140100        140100
## 4018 162000        162000
## 4019 111000        111000
## 4020  40000         49216
## 4021  34000         41833
## 4022 136000        136000
## 4023 104000        104000
## 4024  80000         80000
## 4025  52500         52500
## 4026 150000        150000
## 4027 115000        115000
## 4028 253000        253000
## 4029 156400        156400
## 4030 300000        300000
## 4031 235000        235000
## 4032 223100        223100
## 4033 114700        114700
## 4034 172800        172800
## 4035 110000        110000
## 4036  95000         95000
## 4037  70000         70000
## 4038 180000        180000
## 4039 120000        120000
## 4040 152375        152375
## 4041  94000         94000
## 4042 183000        183000
## 4043 125000        125000
## 4044 185900        185900
## 4045 129300        129300
## 4046 120350        120350
## 4047  74400         74400
## 4048 134000        134000
## 4049 120000        120000
## 4050  52800         57007
## 4051  40800         44051
## 4052 258750        258750
## 4053 172500        172500
## 4054 254000        254000
## 4055 200000        200000
## 4056 153600        153600
## 4057 106800        106800
## 4058 230000        230000
## 4059 196000        196000
## 4060 185900        185900
## 4061 129300        129300
## 4062 128000        128000
## 4063  81500         81500
## 4064 220000        220000
## 4065 150000        150000
## 4066 226600        226600
## 4067 140100        140100
## 4068 248100        248100
## 4069 145900        145900
## 4070 155000        155000
## 4071 109528        109528
## 4072 287500        287500
## 4073 207500        207500
## 4074 248100        248100
## 4075 145900        145900
## 4076 134200        134200
## 4077 103200        103200
## 4078 240500        240500
## 4079 123700        123700
## 4080 192000        192000
## 4081 164000        164000
## 4082 269500        269500
## 4083 166600        166600
## 4084 160000        160000
## 4085  93919         93919
## 4086  51962         51962
## 4087  93919         93919
## 4088  51962         51962
## 4089 180000        180000
## 4090 115000        115000
## 4091 186600        186600
## 4092 119800        119800
## 4093 160000        160000
## 4094  75000         75000
## 4095 200000        200000
## 4096 115000        115000
## 4097 280000        280000
## 4098 200000        200000
## 4099 260000        260000
## 4100 136000        136000
## 4101 383910        383910
## 4102 315850        315850
## 4103 235000        235000
## 4104 204000        204000
## 4105 254000        254000
## 4106 200000        200000
## 4107 198000        198000
## 4108 132000        132000
## 4109 141600        141600
## 4110  94400         94400
## 4111 135000        135000
## 4112 108000        108000
## 4113 209450        209450
## 4114 167560        167560
## 4115 185000        185000
## 4116 164000        164000
## 4117 122000        122000
## 4118  94000         94000
## 4119  80000         80000
## 4120  52500         52500
## 4121 238000        238000
## 4122 149500        149500
## 4123 258000        258000
## 4124 202000        202000
## 4125 186600        186600
## 4126 116500        116500
## 4127 220000        220000
## 4128 160000        160000
## 4129 222200        222200
## 4130 136000        136000
## 4131 228000        228000
## 4132 136000        136000
## 4133  50000         61520
## 4134  35000         43064
## 4135 175000        175000
## 4136 145000        145000
## 4137 195000        195000
## 4138 140000        140000
## 4139 180000        180000
## 4140 165000        165000
## 4141 220000        220000
## 4142 190000        190000
## 4143 105000        113366
## 4144 160000        118539
## 4145  70000         86128
## 4146 167500        167500
## 4147 106500        106500
## 4148 146000        146000
## 4149  97400         97400
## 4150 278700        278700
## 4151 159300        159300
## 4152 226600        226600
## 4153 140100        140100
## 4154 323300        323300
## 4155 184700        184700
## 4156 135000        135000
## 4157 108000        108000
## 4158  55000         40747
## 4159 170000        170000
## 4160 120000        120000
## 4161 166364        166364
## 4162 116455        116455
## 4163 145000        145000
## 4164 125000        125000
## 4165 184950        184950
## 4166 119250        119250
## 4167  95000         95000
## 4168  76000         76000
## 4169  80000         80000
## 4170  52500         52500
## 4171 160000        160000
## 4172 131000        131000
## 4173 168000        168000
## 4174 130000        130000
## 4175 250000        250000
## 4176 140000        140000
## 4177 145000        145000
## 4178 115000        115000
## 4179 222000        222000
## 4180 166500        166500
## 4181 205600        205600
## 4182 105700        105700
## 4183 136000        136000
## 4184 104000        104000
## 4185 138000        138000
## 4186  67000         67000
## 4187 211200        211200
## 4188 176000        176000
## 4189 230000        230000
## 4190 135000        135000
## 4191  80000         80000
## 4192  60000         60000
## 4193 200000        200000
## 4194 180000        180000
## 4195 360000         18381
## 4196 155000        155000
## 4197 139500        139500
## 4198 128000        128000
## 4199  81500         81500
## 4200 200000        200000
## 4201 120000        120000
## 4202 126500        126500
## 4203  78000         78000
## 4204 157750        157750
## 4205 104650        104650
## 4206 176000        176000
## 4207 133000        133000
## 4208 120000        120000
## 4209 100000        100000
## 4210  70000         70000
## 4211  40000         40000
## 4212 190000        190000
## 4213 158080        158080
## 4214 182000        182000
## 4215 150000        150000
## 4216 171250        171250
## 4217 113750        113750
## 4218 252000        252000
## 4219 129000        129000
## 4220 231000        231000
## 4221 200800        200800
## 4222 250800        250800
## 4223 167200        167200
## 4224 250800        250800
## 4225 167200        167200
## 4226 159100        159100
## 4227 120160        120160
## 4228 140000        140000
## 4229 110000        110000
## 4230 165000        165000
## 4231 149094        149094
## 4232 290000        290000
## 4233 247500        247500
## 4234 172200        172200
## 4235 175000        175000
## 4236 130000        130000
## 4237 225000        225000
## 4238 156400        156400
## 4239 260000        260000
## 4240 136000        136000
## 4241  85000         85000
## 4242  72250         72250
## 4243 162500        162500
## 4244 130000        130000
## 4245 145000        145000
## 4246 130000        130000
## 4247 205600        205600
## 4248 105700        105700
## 4249  22000         23753
## 4250  83000         83000
## 4251  63967         63967
## 4252 188600        188600
## 4253 111550        111550
## 4254 219300        219300
## 4255 143000        143000
## 4256 232200        232200
## 4257 133300        133300
## 4258 130000        130000
## 4259  80000         80000
## 4260 189000        204060
## 4261 130000        140358
## 4262 198900        198900
## 4263 183310        183310
## 4264  35000         43064
## 4265  35000         43064
## 4266 204500        204500
## 4267 142200        142200
## 4268 392000        392000
## 4269 224000        224000
## 4270 233000        233000
## 4271 199098        199098
## 4272 172000        172000
## 4273 107000        107000
## 4274  93919         93919
## 4275  51962         51962
## 4276 220000        220000
## 4277 150000        150000
## 4278 128000        128000
## 4279  81500         81500
## 4280 200000        200000
## 4281 150000        150000
## 4282 208450        208450
## 4283 151600        151600
## 4284 208450        208450
## 4285 151600        151600
## 4286 240960        240960
## 4287 200800        200800
## 4288 120681        120681
## 4289  72409         72409
## 4290 192000        192000
## 4291 164000        164000
## 4292  80000         80000
## 4293  52500         52500
## 4294 250000        250000
## 4295 176000        176000
## 4296 250000        250000
## 4297 170000        170000
## 4298 250000        250000
## 4299 200000        200000
## 4300 136000        136000
## 4301 104000        104000
## 4302 230000        230000
## 4303 175000        175000
## 4304 195000         38290
## 4305 200000        215936
## 4306 167500        167500
## 4307 106500        106500
## 4308 330000        330000
## 4309 204000        204000
## 4310 226600        226600
## 4311 140100        140100
## 4312 359170        359170
## 4313 310270        310270
## 4314 359170        359170
## 4315 295490        295490
## 4316 178560        178560
## 4317 148800        148800
## 4318 278700        278700
## 4319 159300        159300
## 4320 331640        331640
## 4321 283780        283780
## 4322 167954        167954
## 4323 115830        115830
## 4324 150000        150000
## 4325 125000        125000
## 4326 331640        331640
## 4327 267720        267720
## 4328 185000        185000
## 4329  50000         50000
## 4330 331640        331640
## 4331 283780        283780
## 4332 189110        189110
## 4333 139000        139000
## 4334 199000        199000
## 4335 145000        145000
## 4336 199000        199000
## 4337 142000        142000
## 4338 230000        230000
## 4339 170000        170000
## 4340 331640        331640
## 4341 283780        283780
## 4342  66000         66000
## 4343  52000         52000
## 4344 110400        110400
## 4345  68000         68000
## 4346 323300        323300
## 4347 184700        184700
## 4348 202000        202000
## 4349 140000        140000
## 4350 235000        235000
## 4351 200000        200000
## 4352 359170        359170
## 4353 295490        295490
## 4354 316000        316000
## 4355 202000        202000
## 4356 178560        178560
## 4357 148800        148800
## 4358 170000        170000
## 4359 120000        120000
## 4360 200000        200000
## 4361 226600        226600
## 4362 140100        140100
## 4363 166500        166500
## 4364 113220        113220
## 4365 247500        247500
## 4366 172200        172200
## 4367 365630        365630
## 4368 315850        315850
## 4369 185000        185000
## 4370  79600         79600
## 4371 260000        260000
## 4372 136000        136000
## 4373 287500        287500
## 4374 207500        207500
## 4375 229000        229000
## 4376 131000        131000
## 4377 105000        105000
## 4378  70000         70000
## 4379 185000        185000
## 4380  86700         86700
## 4381 180000        180000
## 4382 150000        150000
## 4383 145000        145000
## 4384 115000        115000
## 4385 192300        192300
## 4386 153800        153800
## 4387 222200        222200
## 4388 136000        136000
## 4389  91000         67419
## 4390 150000        150000
## 4391  90000         90000
## 4392 155000        155000
## 4393 139500        139500
## 4394 131650        131650
## 4395 105320        105320
## 4396 222200        222200
## 4397 136000        136000
## 4398 204500        204500
## 4399 126400        126400
## 4400 309400        309400
## 4401 159100        159100
## 4402 235400        235400
## 4403 160080        160080
## 4404 146190        146190
## 4405 119610        119610
## 4406 190000        190000
## 4407 175000        175000
## 4408 299500        299500
## 4409 245100        245100
## 4410 228856        228856
## 4411 144540        144540
## 4412 210000        210000
## 4413 151800        151800
## 4414 331640        331640
## 4415 267720        267720
## 4416 150000        150000
## 4417 100000        100000
## 4418 126500        126500
## 4419  78000         78000
## 4420  45000         48585
## 4421  36000         38868
## 4422 126500        126500
## 4423  78000         78000
## 4424 167500        167500
## 4425 106500        106500
## 4426 105000        105000
## 4427  70000         70000
## 4428 300000        300000
## 4429 200000        200000
## 4430  96000         96000
## 4431  72000         72000
## 4432 323300        323300
## 4433 184700        184700
## 4434 205150        205150
## 4435 167850        167850
## 4436 267100        267100
## 4437 167200        167200
## 4438 247500        247500
## 4439 172200        172200
## 4440 130000        130000
## 4441 110000        110000
## 4442 253000        253000
## 4443 156400        156400
## 4444 222200        222200
## 4445 136000        136000
## 4446 278700        278700
## 4447 159300        159300
## 4448 222750        222750
## 4449 182250        182250
## 4450  95000        104024
## 4451  47000         50745
## 4452 215000        215000
## 4453 185000        185000
## 4454 296400        296400
## 4455 148594        148594
## 4456 206000        206000
## 4457 140250        140250
## 4458 254500        254500
## 4459 130900        130900
## 4460 198000        198000
## 4461 124000        124000
## 4462 145000        145000
## 4463 130000        130000
## 4464 234485        234485
## 4465 112655        112655
## 4466 296400        296400
## 4467 148594        148594
## 4468 222200        222200
## 4469 136000        136000
## 4470 200000        200000
## 4471 150000        150000
## 4472 125000        125000
## 4473 105000        105000
## 4474  70000         86128
## 4475  42000         51676
## 4476  65000         70179
## 4477  60000         64781
## 4478 258000        258000
## 4479 190000        190000
## 4480 184184        184184
## 4481 167441        167441
## 4482 100000         74087
## 4483  30000         32390
## 4484 204500        204500
## 4485 130000        130000
## 4486  90000         90000
## 4487  84000         84000
## 4488 136000        136000
## 4489 104000        104000
## 4490 202400        202400
## 4491 147200        147200
## 4492  80000         80000
## 4493  52500         52500
## 4494 128000        128000
## 4495  81500         81500
## 4496 105000        105000
## 4497  75000         75000
## 4498  95000         95000
## 4499  75000         75000
## 4500 167500        167500
## 4501 106500        106500
## 4502 139500        139500
## 4503  90000         90000
## 4504 269500        269500
## 4505 166600        166600
## 4506 330000        330000
## 4507 204000        204000
## 4508 252000        252000
## 4509 129000        129000
## 4510 180000        180000
## 4511 165000        165000
## 4512 192000        192000
## 4513 142000        142000
## 4514 143000        143000
## 4515 129000        129000
## 4516 191000        191000
## 4517 146000        146000
## 4518  85000         85000
## 4519  70000         70000
## 4520 155000        155000
## 4521 139500        139500
## 4522 120000        147648
## 4523  80000         98432
## 4524 138860        138860
## 4525 122720        122720
## 4526 212800        212800
## 4527 144800        144800
## 4528 250000        250000
## 4529 100000        100000
## 4530 209450        209450
## 4531 167560        167560
## 4532  16000         16000
## 4533  27000         27000
## 4534  72000         72000
## 4535 172900        172900
## 4536 144100        144100
## 4537 230000        230000
## 4538 175000        175000
## 4539 160000        160000
## 4540 135000        135000
## 4541 150000        150000
## 4542 110000        110000
## 4543 101500        101500
## 4544  83700         83700
## 4545 310270        310270
## 4546 253430        253430
## 4547 202800        202800
## 4548 104300        104300
## 4549 110000        110000
## 4550  70000         70000
## 4551 283000        283000
## 4552 184000        184000
## 4553 166500        166500
## 4554 113220        113220
## 4555 220000        220000
## 4556 185000        185000
## 4557 260000        260000
## 4558 225000        225000
## 4559 246500        246500
## 4560 133500        133500
## 4561 331640        331640
## 4562 283780        283780
## 4563 331640        331640
## 4564 283780        283780
## 4565 174000        174000
## 4566 134000        134000
## 4567 359170        359170
## 4568 310270        310270
## 4569 331640        331640
## 4570 283780        283780
## 4571 359170        359170
## 4572 295490        295490
## 4573 189110        189110
## 4574 139000        139000
## 4575 330000        330000
## 4576 230000        230000
## 4577 254000        254000
## 4578 200000        200000
## 4579 309400        309400
## 4580 159100        159100
## 4581 331640        331640
## 4582 267720        267720
## 4583 283780        283780
## 4584 218540        218540
## 4585 100000        123040
## 4586  60000         73824
## 4587 167000        167000
## 4588 109000        109000
## 4589 208000        208000
## 4590 193000        193000
## 4591 359170        359170
## 4592 295490        295490
## 4593  42000         47899
## 4594 115000        115000
## 4595 216000        216000
## 4596 184000        184000
## 4597 200000        200000
## 4598 145000        145000
## 4599 250000        250000
## 4600 166600        166600
## 4601 284000        284000
## 4602 227000        227000
## 4603 205000        205000
## 4604 160000        160000
## 4605 191400        191400
## 4606 127600        127600
## 4607 222200        222200
## 4608 136000        136000
## 4609 191400        191400
## 4610 127600        127600
## 4611 230000        230000
## 4612 175000        175000
## 4613 139600        139600
## 4614  85700         85700
## 4615  95000         95000
## 4616  70000         70000
## 4617 258000        258000
## 4618 171000        171000
## 4619 204500        204500
## 4620 126400        126400
## 4621  87000         87000
## 4622  73000         73000
## 4623  20000         20000
## 4624 300000        300000
## 4625  90000        110736
## 4626  45000         55368
## 4627 232960        232960
## 4628 151840        151840
## 4629 163152        163152
## 4630 108768        108768
## 4631 370000        370000
## 4632 245000        245000
## 4633 285000        285000
## 4634 193900        193900
## 4635 240000        240000
## 4636 163200        163200
## 4637 222000        222000
## 4638 166500        166500
## 4639 240000        240000
## 4640 163200        163200
## 4641 345000        345000
## 4642 234700        234700
## 4643 100000        100000
## 4644  40000         40000
## 4645 226600        226600
## 4646 140100        140100
## 4647 241000        241000
## 4648 155000        155000
## 4649 210000        210000
## 4650  90000         90000
## 4651  55000         59382
## 4652  90000         90000
## 4653  84000         84000
## 4654 160000        160000
## 4655 140000        140000
## 4656 221300        221300
## 4657 147500        147500
## 4658 204500        204500
## 4659 130000        130000
## 4660 210000        210000
## 4661 160000        160000
## 4662 204500        204500
## 4663 142200        142200
## 4664 186600        186600
## 4665 119800        119800
## 4666 192000        192000
## 4667 151000        151000
## 4668 185000        185000
## 4669  79600         79600
## 4670 169000        169000
## 4671 129300        129300
## 4672 204500        204500
## 4673 142200        142200
## 4674 250000        250000
## 4675 130000        130000
## 4676 210000        210000
## 4677 170000        170000
## 4678 221300        221300
## 4679 147500        147500
## 4680 189750        189750
## 4681 131100        131100
## 4682 299500        299500
## 4683 245100        245100
## 4684 128000        128000
## 4685  81500         81500
## 4686  80000         80000
## 4687  52500         52500
## 4688 370000        370000
## 4689 200000        200000
## 4690  72000         72000
## 4691  60000         60000
## 4692 180000        180000
## 4693 140000        140000
## 4694  94000         94000
## 4695  81900         81900
## 4696 210000        210000
## 4697 159090        159090
## 4698 210000        210000
## 4699 175000        175000
## 4700 118000        118000
## 4701  94400         94400
## 4702 150000        150000
## 4703  90000         90000
## 4704 190000        190000
## 4705 125000        125000
## 4706 130002        130002
## 4707  71908         71908
## 4708  80000         80000
## 4709  60000         60000
## 4710 167500        167500
## 4711 106500        106500
## 4712 202800        202800
## 4713 104300        104300
## 4714 121000         81838
## 4715  60000         60000
## 4716 185900        185900
## 4717 129300        129300
## 4718 150000        150000
## 4719 110000        110000
## 4720 230000        230000
## 4721 175000        175000
## 4722 200000        200000
## 4723 170000        170000
## 4724 175000        175000
## 4725 160000        160000
## 4726 255000        255000
## 4727 160000        160000
## 4728 116990        116990
## 4729  82920         82920
## 4730 121000        121000
## 4731  78000         78000
## 4732 159000        159000
## 4733 105000        105000
## 4734 309400        309400
## 4735 159100        159100
## 4736 155000        155000
## 4737 102000        102000
## 4738 374000        374000
## 4739 197500        197500
## 4740 260000        260000
## 4741 136000        136000
## 4742 240000        240000
## 4743 187000        187000
## 4744  20000         20000
## 4745 210000        210000
## 4746 190000        190000
## 4747  95000         95000
## 4748  70000         70000
## 4749 195000        195000
## 4750 119000        119000
## 4751 216000        216000
## 4752 184000        184000
## 4753 200000        200000
## 4754 160000        160000
## 4755  80000         80000
## 4756  70000         70000
## 4757 185000        185000
## 4758  79600         79600
## 4759  60000         73824
## 4760  50000         61520
## 4761 266450        266450
## 4762 177700        177700
## 4763 245000        245000
## 4764 185000        185000
## 4765 247500        247500
## 4766 172200        172200
## 4767 222200        222200
## 4768 136000        136000
## 4769  55720         55720
## 4770  50700         50700
## 4771  56000         56000
## 4772 370000        370000
## 4773 200000        200000
## 4774 196000        196000
## 4775 121000        121000
## 4776 202800        202800
## 4777 104300        104300
## 4778 135000        135000
## 4779 115000        115000
## 4780 302000        302000
## 4781 189000        189000
## 4782  65000         65000
## 4783  55000         55000
## 4784 220000        220000
## 4785 170000        170000
## 4786 185000        185000
## 4787  79600         79600
## 4788 110000        110000
## 4789  75000         75000
## 4790 150000        150000
## 4791  93000         93000
## 4792 190000        190000
## 4793 200000         46565
## 4794 204500        204500
## 4795 142200        142200
## 4796 204500        204500
## 4797 126400        126400
## 4798 216000        216000
## 4799 184000        184000
## 4800 139600        139600
## 4801  85700         85700
## 4802 100000        100000
## 4803 128750        128750
## 4804  79350         79350
## 4805  60000         73824
## 4806  55000         67672
## 4807 185900        185900
## 4808 129300        129300
## 4809 174000        174000
## 4810 134000        134000
## 4811 155000        155000
## 4812 125000        125000
## 4813 185000        185000
## 4814  79600         79600
## 4815 194400        194400
## 4816 132192        132192
## 4817 273400        273400
## 4818 182200        182200
## 4819 165000        165000
## 4820 142500        142500
## 4821 213654        213654
## 4822 142436        142436
## 4823 124230        124230
## 4824  68637         68637
## 4825 204000        204000
## 4826 161500        161500
## 4827 204500        204500
## 4828 142200        142200
## 4829 185900        185900
## 4830 129300        129300
## 4831 200000        200000
## 4832 100000        100000
## 4833 260000        260000
## 4834 136000        136000
## 4835 175000        175000
## 4836 148750        148750
## 4837 226600        226600
## 4838 140100        140100
## 4839 135000        135000
## 4840  95000         95000
## 4841 287700        287700
## 4842 148000        148000
## 4843 227240        227240
## 4844 197600        197600
## 4845 161000        161000
## 4846 140000        140000
## 4847 221000        221000
## 4848 185000        185000
## 4849 210000        210000
## 4850 178500        178500
## 4851 180000        180000
## 4852 150000        150000
## 4853 146100        146100
## 4854 112400        112400
## 4855 160000        160000
## 4856 140000        140000
## 4857  70000         86128
## 4858  65000         79976
## 4859 331640        331640
## 4860 267720        267720
## 4861 285000        285000
## 4862 205000        205000
## 4863  90000         90000
## 4864 120350        120350
## 4865  74400         74400
## 4866 146000        146000
## 4867  94000         94000
## 4868 237400        237400
## 4869 158200        158200
## 4870 225000        225000
## 4871 156400        156400
## 4872 192000        192000
## 4873 164000        164000
## 4874 150000        150000
## 4875 141000        141000
## 4876 260000        260000
## 4877 136000        136000
## 4878 309400        309400
## 4879 159100        159100
## 4880 267000        267000
## 4881 205000        205000
## 4882 147100        147100
## 4883  90700         90700
## 4884 115000        115000
## 4885  72000         72000
## 4886 169000        169000
## 4887 110600        110600
## 4888  55000         67672
## 4889  55000         67672
## 4890 185000        185000
## 4891  79600         79600
## 4892 165000        165000
## 4893 141000        141000
## 4894 144000        177177
## 4895 240000        240000
## 4896 142000        142000
## 4897 180000        180000
## 4898 105000        105000
## 4899  80000         80000
## 4900  60000         60000
## 4901 268000        268000
## 4902 180000        180000
## 4903 144628        144628
## 4904 115702        115702
## 4905 144000        144000
## 4906 132000        132000
## 4907 106400        106400
## 4908  81800         81800
## 4909 134200        134200
## 4910 103200        103200
## 4911 110000        110000
## 4912  93500         93500
## 4913 208200        208200
## 4914 151200        151200
## 4915 240000        240000
## 4916 180000        180000
## 4917 270000        270000
## 4918 220000        220000
## 4919 194500        194500
## 4920 115500        115500
## 4921 225000        225000
## 4922 156400        156400
## 4923 140000        140000
## 4924 100000        100000
## 4925 193600        193600
## 4926 119700        119700
## 4927 225000        225000
## 4928 199000        199000
## 4929  50000         50000
## 4930  40000         40000
## 4931 185900        185900
## 4932 129300        129300
## 4933 120000        120000
## 4934  95000         95000
## 4935  80000         98432
## 4936  45000         55368
## 4937 225000        225000
## 4938 156400        156400
## 4939 325000        399880
## 4940  38000         41027
## 4941 155000        155000
## 4942 100000        100000
## 4943  85000         85000
## 4944  65000         65000
## 4945 280100        280100
## 4946 168100        168100
## 4947 200000        200000
## 4948 120000        120000
## 4949 185000        185000
## 4950  79600         79600
## 4951 149040        149040
## 4952 113900        113900
## 4953 240000        240000
## 4954 180000        180000
## 4955 165000        165000
## 4956 145000        145000
## 4957 165000        165000
## 4958 145000        145000
## 4959 274450        274450
## 4960 199600        199600
## 4961  83500         83500
## 4962  52500         52500
## 4963 140000        140000
## 4964  76500         76500
## 4965  45000         48585
## 4966  36000         38868
## 4967 306000        306000
## 4968 204000        204000
## 4969 204500        204500
## 4970 142200        142200
## 4971 185900        185900
## 4972 129300        129300
## 4973 136000        136000
## 4974 104000        104000
## 4975 115000        115000
## 4976  81500         81500
## 4977 280000        280000
## 4978 250000        250000
## 4979 180000        180000
## 4980 100000        100000
## 4981  70000         70000
## 4982 100000        100000
## 4983  70000         70000
## 4984 240000        240000
## 4985 157000        157000
## 4986 222200        222200
## 4987 136000        136000
## 4988 204500        204500
## 4989 142200        142200
## 4990 140700        140700
## 4991 109600        109600
## 4992 278000        278000
## 4993 173000        173000
## 4994 110000        110000
## 4995  95000         95000
## 4996 305000        305000
## 4997 160000        160000
## 4998 175000        175000
## 4999 125000        125000
## 5000 155000        155000
## 5001 120000        120000
## 5002  85000         85000
## 5003  80000         80000
## 5004  24000         24000
## 5005 165400        165400
## 5006 127300        127300
## 5007 260000        260000
## 5008 136000        136000
## 5009 259000        259000
## 5010 138750        138750
## 5011 185900        185900
## 5012 129300        129300
## 5013 273400        273400
## 5014 182200        182200
## 5015 192000        192000
## 5016 178000        178000
## 5017 218000        218000
## 5018  85000         85000
## 5019 132000        132000
## 5020  71500         71500
## 5021 252000        252000
## 5022 129000        129000
## 5023 215050        215050
## 5024 113100        113100
## 5025 260000        260000
## 5026 136000        136000
## 5027 218000        218000
## 5028  85000         85000
## 5029 130000        130000
## 5030  85000         85000
## 5031 250000        250000
## 5032 200000        200000
## 5033 220000        220000
## 5034 170000        170000
## 5035 145000        145000
## 5036 115000        115000
## 5037 184000        184000
## 5038 123000        123000
## 5039  75000         75000
## 5040  65000         65000
## 5041 168400        168400
## 5042  90700         90700
## 5043 185900        185900
## 5044 129300        129300
## 5045 258000        258000
## 5046 190000        190000
## 5047 169000        169000
## 5048 110600        110600
## 5049  80000         80000
## 5050  70000         70000
## 5051 136505        136505
## 5052 100895        100895
## 5053 200000        200000
## 5054 150000        150000
## 5055 202800        202800
## 5056 104300        104300
## 5057 275300        275300
## 5058 183500        183500
## 5059 168400        168400
## 5060 105200        105200
## 5061 240000        240000
## 5062 150000        150000
## 5063 130000        130000
## 5064 120000        120000
## 5065  93000         93000
## 5066 248100        248100
## 5067 145900        145900
## 5068 177000        177000
## 5069 118000        118000
## 5070 120350        120350
## 5071  74400         74400
## 5072 190000        190000
## 5073 120000        120000
## 5074 237400        237400
## 5075 132870        132870
## 5076 248100        248100
## 5077 145900        145900
## 5078 170000        170000
## 5079 125000        125000
## 5080 105000        105000
## 5081  90000         90000
## 5082 317070        317070
## 5083 170730        170730
## 5084 170000        170000
## 5085 125000        125000
## 5086 158700        158700
## 5087 123906        123906
## 5088 222200        222200
## 5089 136000        136000
## 5090 166000        166000
## 5091 128000        128000
## 5092  75000         80976
## 5093  62000         66940
## 5094 333500        333500
## 5095 180500        180500
## 5096 242921        242921
## 5097 170045        170045
## 5098 248100        248100
## 5099 145900        145900
## 5100  75000         92280
## 5101  62000         76284
## 5102 225000        225000
## 5103 156400        156400
## 5104 257400        257400
## 5105 210600        210600
## 5106  65000         65000
## 5107  50000         50000
## 5108 293000        293000
## 5109 180000        180000
## 5110 260000        260000
## 5111 192000        192000
## 5112 170000        170000
## 5113 125000        125000
## 5114  99000         99000
## 5115 130000        130000
## 5116 100000        100000
## 5117 233000        233000
## 5118 166000        166000
## 5119 185100        185100
## 5120 127600        127600
## 5121 105000        105000
## 5122  80000         80000
## 5123 160000        160000
## 5124  55000         55000
## 5125 241000        241000
## 5126 163000        163000
## 5127 120000        120000
## 5128  90000         90000
## 5129 218000        218000
## 5130 118000        118000
## 5131 210000        210000
## 5132 168000        168000
## 5133 311000        311000
## 5134 162540        162540
## 5135  42000         51676
## 5136  35000         43064
## 5137 258750        258750
## 5138 185000        185000
## 5139 225000        225000
## 5140 145000        145000
## 5141 226600        226600
## 5142 140100        140100
## 5143  45000         48585
## 5144  36000         38868
## 5145 190000        190000
## 5146 165000        165000
## 5147 175000        175000
## 5148 160000        160000
## 5149 247500        247500
## 5150 172200        172200
## 5151 247500        247500
## 5152 172200        172200
## 5153 153600        153600
## 5154 106800        106800
## 5155 140000        140000
## 5156  76500         76500
## 5157 182850        182850
## 5158 113000        113000
## 5159 150000        150000
## 5160 120000        120000
## 5161 105000        105000
## 5162  95000         95000
## 5163 306000        306000
## 5164 204000        204000
## 5165 160000        160000
## 5166 135000        135000
## 5167  85000        104584
## 5168  75000         92280
## 5169 126000        126000
## 5170  86400         86400
## 5171 232760        232760
## 5172 169280        169280
## 5173 136000        136000
## 5174 104000        104000
## 5175 185900        185900
## 5176 129300        129300
## 5177 168000        168000
## 5178 130000        130000
## 5179 185900        185900
## 5180 129300        129300
## 5181 162500        162500
## 5182 130000        130000
## 5183 240350        240350
## 5184 174800        174800
## 5185 247500        247500
## 5186 172200        172200
## 5187 154000        154000
## 5188 116000        116000
## 5189 168000        168000
## 5190 130000        130000
## 5191 153600        153600
## 5192 107500        107500
## 5193  94100         94100
## 5194  72400         72400
## 5195 178000        178000
## 5196 152000        152000
## 5197 192000        192000
## 5198 164000        164000
## 5199 233200        233200
## 5200 140000        140000
## 5201 194000        194000
## 5202 161000        161000
## 5203 225000        225000
## 5204 156400        156400
## 5205 210000        210000
## 5206 160000        160000
## 5207 153600        153600
## 5208 107500        107500
## 5209 185900        185900
## 5210 129300        129300
## 5211 145000        145000
## 5212 120000        120000
## 5213 206000        206000
## 5214 130000        130000
## 5215 153600        153600
## 5216 107500        107500
## 5217 146100        146100
## 5218 112400        112400
## 5219 241000        241000
## 5220 155000        155000
## 5221 194500        194500
## 5222 115500        115500
## 5223 110000        110000
## 5224  70000         70000
## 5225 199000        199000
## 5226 145000        145000
## 5227 200000        200000
## 5228 170000        170000
## 5229 150120        150120
## 5230 120096        120096
## 5231 253000        253000
## 5232 168000        168000
## 5233 200000        200000
## 5234 170000        170000
## 5235 185900        185900
## 5236 129300        129300
## 5237 178600        178600
## 5238 142880        142880
## 5239 255000        255000
## 5240 169000        169000
## 5241 155000        155000
## 5242 100000        100000
## 5243 151410        151410
## 5244 144200        144200
## 5245 151410        151410
## 5246 115360        115360
## 5247 252000        252000
## 5248 129000        129000
## 5249 193170        193170
## 5250 116480        116480
## 5251 250000        250000
## 5252 125000        125000
## 5253 146000        146000
## 5254  94000         94000
## 5255 200000        246080
## 5256 165000        203016
## 5257 110000        135344
## 5258  90000        110736
## 5259 260000        260000
## 5260 136000        136000
## 5261 329500        329500
## 5262 269600        269600
## 5263 250500        250500
## 5264 159500        159500
## 5265 115000        115000
## 5266 105000        105000
## 5267 250000        250000
## 5268 170000        170000
## 5269 198800        198800
## 5270 105200        105200
## 5271  94035         94035
## 5272  57920         57920
## 5273 222200        222200
## 5274 136000        136000
## 5275 113600        113600
## 5276  60000         60000
## 5277 150000        150000
## 5278 130000        130000
## 5279 256000        256000
## 5280 160000        160000
## 5281 180000        180000
## 5282 165000        165000
## 5283 116000        116000
## 5284  78000         78000
## 5285 245000        245000
## 5286 210000        210000
## 5287 115934        115934
## 5288  81666         81666
## 5289 283200        283200
## 5290 188800        188800
## 5291 220000        220000
## 5292 150000        150000
## 5293 192000        192000
## 5294 164000        164000
## 5295  36000         36000
## 5296 205640        205640
## 5297 142600        142600
## 5298 193200        193200
## 5299 156400        156400
## 5300 196000        196000
## 5301 121000        121000
## 5302  72000         72000
## 5303  48000         48000
## 5304 165000        165000
## 5305 132300        132300
## 5306 244000        244000
## 5307 197000        197000
## 5308 328000        328000
## 5309 211000        211000
## 5310 237000        237000
## 5311 201450        201450
## 5312 229000        229000
## 5313 206000        206000
## 5314 231000        231000
## 5315 134000        134000
## 5316 183750        183750
## 5317 165400        165400
## 5318 175000        175000
## 5319 125000        125000
## 5320 152900        152900
## 5321 117700        117700
## 5322 285800        285800
## 5323 154600        154600
## 5324 289120        289120
## 5325 192400        192400
## 5326 179998        179998
## 5327  35000         35000
## 5328 230000        230000
## 5329 166000        166000
## 5330 258000        258000
## 5331 225000        225000
## 5332 156400        156400
## 5333 190000        190000
## 5334 150000        150000
## 5335 196000        196000
## 5336 121000        121000
## 5337 219000        219000
## 5338 141000        141000
## 5339 230000        230000
## 5340 206000        206000
## 5341 192000        192000
## 5342 164000        164000
## 5343 300000        300000
## 5344 260000        260000
## 5345 147000        147000
## 5346  92000         92000
## 5347 200000        200000
## 5348 140000        140000
## 5349 110000        110000
## 5350  70000         70000
## 5351 284310        284310
## 5352 153090        153090
## 5353 261500        261500
## 5354 134500        134500
## 5355  83200         83200
## 5356 204500        204500
## 5357 142200        142200
## 5358 145000        145000
## 5359 106000        106000
## 5360 190000        190000
## 5361 160000        160000
## 5362 275300        275300
## 5363 183500        183500
## 5364 120000        147648
## 5365 100000        123040
## 5366 182850        182850
## 5367 113000        113000
## 5368 202800        202800
## 5369 104300        104300
## 5370 215000        215000
## 5371 175000        175000
## 5372 228856        228856
## 5373 144540        144540
## 5374 162500        162500
## 5375 130000        130000
## 5376 140000        140000
## 5377 115000        115000
## 5378 136600        136600
## 5379 109280        109280
## 5380 221000        221000
## 5381 185000        185000
## 5382  84000         84000
## 5383  60000         60000
## 5384  60000         73824
## 5385  50000         61520
## 5386  70000         70000
## 5387  60000         60000
## 5388 281000        281000
## 5389 196000        196000
## 5390 146000        146000
## 5391  94000         94000
## 5392  69500         69500
## 5393  46400         46400
## 5394 185000        185000
## 5395 150000        150000
## 5396 145000        145000
## 5397 115000        115000
## 5398 254000        254000
## 5399 200000        200000
## 5400 260000        260000
## 5401 136000        136000
## 5402 281000        281000
## 5403 181000        181000
## 5404 285000        285000
## 5405 210000        210000
## 5406  69525         69525
## 5407  61800         61800
## 5408 192000        192000
## 5409 164000        164000
## 5410 178000        178000
## 5411 152000        152000
## 5412 160000        160000
## 5413  40000         40000
## 5414 125000        125000
## 5415  95000         95000
## 5416 130000        130000
## 5417 110000        110000
## 5418  45000         48585
## 5419  36000         38868
## 5420 145000        145000
## 5421 120000        120000
## 5422 283200        283200
## 5423 188800        188800
## 5424 225000        225000
## 5425 168000        168000
## 5426 140000        140000
## 5427 105000        105000
## 5428 130001        130001
## 5429  71907         71907
## 5430 144000        144000
## 5431  80000         80000
## 5432 205000        205000
## 5433 150000        150000
## 5434 189400        189400
## 5435 131685        131685
## 5436 204500        204500
## 5437 142200        142200
## 5438 150000        150000
## 5439 130000        130000
## 5440 120000        120000
## 5441 120000        120000
## 5442 172000        172000
## 5443 110000        110000
## 5444 260000        260000
## 5445 136000        136000
## 5446 110000        110000
## 5447  90000         90000
## 5448  60000         60000
## 5449 105000         77791
## 5450  45000         55410
## 5451  57000         57000
## 5452 120000        120000
## 5453 168400        168400
## 5454  90700         90700
## 5455 150000        150000
## 5456  95000         95000
## 5457 161000        161000
## 5458  85000         85000
## 5459 240000        240000
## 5460 157250        157250
## 5461 260000        260000
## 5462 136000        136000
## 5463 277500        277500
## 5464 206000        206000
## 5465 165000        165000
## 5466 150000        150000
## 5467 222200        222200
## 5468 136000        136000
## 5469 236500        236500
## 5470 176000        176000
## 5471 155000        155000
## 5472 120000        120000
## 5473 172800        172800
## 5474 110000        110000
## 5475 260000        260000
## 5476 136000        136000
## 5477 171250        171250
## 5478 113750        113750
## 5479  60000         60000
## 5480 100000        100000
## 5481 300000        323905
## 5482 146000        146000
## 5483  75000         75000
## 5484 146000        146000
## 5485  75000         75000
## 5486 150000        150000
## 5487 100000        100000
## 5488  62000         62000
## 5489  55000         55000
## 5490 155000        155000
## 5491 140000        140000
## 5492  36000         36000
## 5493 247500        247500
## 5494 172200        172200
## 5495 110000        110000
## 5496  70000         70000
## 5497 230000        230000
## 5498 140100        140100
## 5499 297300        297300
## 5500 198200        198200
## 5501 204000        204000
## 5502 161500        161500
## 5503 144000        144000
## 5504  77000         77000
## 5505  87500         87500
## 5506  62500         62500
## 5507 160000        160000
## 5508 135000        135000
## 5509 216000        216000
## 5510 184000        184000
## 5511  90000        110736
## 5512  45000         55368
## 5513 253000        253000
## 5514 156400        156400
## 5515 265000        265000
## 5516 200000        200000
## 5517 217000        217000
## 5518 185000        185000
## 5519 177300        177300
## 5520 136300        136300
## 5521  83000         83000
## 5522  72000         72000
## 5523 208450        208450
## 5524 170550        170550
## 5525  72000         72000
## 5526  60000         60000
## 5527 200000        200000
## 5528 130000        130000
## 5529 190000        190000
## 5530 165000        165000
## 5531 165000        165000
## 5532 145000        145000
## 5533 222200        222200
## 5534 136000        136000
## 5535 336400        336400
## 5536 201900        201900
## 5537 189750        189750
## 5538 131100        131100
## 5539 270000        270000
## 5540  95000         95000
## 5541 170000        170000
## 5542 120000        120000
## 5543 117300        117300
## 5544  69000         69000
## 5545 182000        182000
## 5546 144000        144000
## 5547 244000        244000
## 5548 200000        200000
## 5549 120000        120000
## 5550 100000        100000
## 5551 260000        260000
## 5552 175000        175000
## 5553 190000        190000
## 5554 150000        150000
## 5555 210000        210000
## 5556 160000        160000
## 5557 210000        210000
## 5558 160000        160000
## 5559 210000        210000
## 5560 160000        160000
## 5561 210000        210000
## 5562 160000        160000
## 5563 210000        210000
## 5564 160000        160000
## 5565 250000        250000
## 5566 100000        100000
## 5567 225000        225000
## 5568 175000        175000
## 5569 210000        210000
## 5570 160000        160000
## 5571 210000        210000
## 5572 160000        160000
## 5573 210000        210000
## 5574 160000        160000
## 5575 236500        236500
## 5576 176000        176000
## 5577 105000        105000
## 5578 102500        102500
## 5579 370000        370000
## 5580 200000        200000
## 5581 260000        260000
## 5582 225000        225000
## 5583 370000        370000
## 5584 200000        200000
## 5585 186600        186600
## 5586 116500        116500
## 5587  80000         80000
## 5588  60000         60000
## 5589 299500        299500
## 5590 245100        245100
## 5591 222000        222000
## 5592 138000        138000
## 5593 207300        207300
## 5594 149200        149200
## 5595 292000        292000
## 5596 164500        164500
## 5597 292200        292200
## 5598 164500        164500
## 5599 163800        163800
## 5600 126000        126000
## 5601 160000        160000
## 5602 120000        120000
## 5603 140000        140000
## 5604 120000        120000
## 5605 120000        120000
## 5606 280000        280000
## 5607 210000        210000
## 5608 170000        170000
## 5609 150000        150000
## 5610 200000        200000
## 5611 170000        170000
## 5612 225000        225000
## 5613 175000        175000
## 5614 189750        189750
## 5615 131100        131100
## 5616 123400        123400
## 5617  82200         82200
## 5618  40000         49216
## 5619  35000         43064
## 5620 225000        225000
## 5621  50000         50000
## 5622 161800        161800
## 5623 121400        121400
## 5624 285000        285000
## 5625 193900        193900
## 5626 240000        240000
## 5627 196000        196000
## 5628 214000        214000
## 5629 164000        164000
## 5630 170000        170000
## 5631 155000        155000
## 5632 125000        125000
## 5633  98000         98000
## 5634 199000        199000
## 5635 145000        145000
## 5636 260000        260000
## 5637 200000        200000
## 5638 100000        105066
## 5639  90000        110736
## 5640  70000         86128
## 5641 185900        185900
## 5642 129300        129300
## 5643 200000        200000
## 5644 145000        145000
## 5645 175000        175000
## 5646 120000        120000
## 5647 145000        145000
## 5648 120000        120000
## 5649 252000        252000
## 5650 129000        129000
## 5651 289800        289800
## 5652 214000        214000
## 5653 142000        142000
## 5654  87500         87500
## 5655 222200        222200
## 5656 136000        136000
## 5657 220000        220000
## 5658 165000        165000
## 5659  45000         48585
## 5660  36000         38868
## 5661 280830        280830
## 5662 173175        173175
## 5663 195000        195000
## 5664 160000        160000
## 5665 275300        275300
## 5666 183500        183500
## 5667 175000        175000
## 5668 145000        145000
## 5669 105000        105000
## 5670  85000         85000
## 5671 175000        175000
## 5672 160000        160000
## 5673  75000         92280
## 5674  40000         49216
## 5675 162500        162500
## 5676 130000        130000
## 5677  69500         75038
## 5678  60000         64781
## 5679 174350        174350
## 5680 126800        126800
## 5681  66200         71475
## 5682  57000         61541
## 5683 245000        245000
## 5684 140000        140000
## 5685 231250        231250
## 5686 138750        138750
## 5687 155000        155000
## 5688 125000        125000
## 5689 242000        242000
## 5690 195000        195000
## 5691 155000        155000
## 5692 125000        125000
## 5693 222200        222200
## 5694 136000        136000
## 5695 160000        160000
## 5696 140000        140000
## 5697 110000        110000
## 5698  70000         70000
## 5699 183924        183924
## 5700 125760        125760
## 5701 150000        150000
## 5702 105000        105000
## 5703 350000        430640
## 5704  50000         61520
## 5705  80000         86374
## 5706  30000         30000
## 5707  25500         25500
## 5708 175000        175000
## 5709 120000        120000
## 5710 222200        222200
## 5711 136000        136000
## 5712 219000        219000
## 5713 141000        141000
## 5714 147100        147100
## 5715  90700         90700
## 5716 130000        130000
## 5717 100000        100000
## 5718 213660        213660
## 5719 130760        130760
## 5720 147100        147100
## 5721  90700         90700
## 5722 170000        170000
## 5723 150000        150000
## 5724 150000        150000
## 5725 110000        110000
## 5726 275000        275000
## 5727 174000        174000
## 5728 230000        230000
## 5729 143200        143200
## 5730 225000        225000
## 5731 156400        156400
## 5732 200000        200000
## 5733 130000        130000
## 5734  90000         90000
## 5735  72000         72000
## 5736 253200        253200
## 5737  90700         90700
## 5738 342810        342810
## 5739 184590        184590
## 5740 162500        162500
## 5741 130000        130000
## 5742 105380        105380
## 5743  64500         64500
## 5744  30000         30000
## 5745 204620        204620
## 5746 110680        110680
## 5747 270703        270703
## 5748 221484        221484
## 5749 212750        212750
## 5750 185000        185000
## 5751 262000        262000
## 5752 245000        245000
## 5753 275300        275300
## 5754 183500        183500
## 5755 218500        218500
## 5756 199098        199098
## 5757 203300        203300
## 5758 123600        123600
## 5759 189110        189110
## 5760 139000        139000
## 5761 258750        258750
## 5762 185000        185000
## 5763 231500        231500
## 5764 166000        166000
## 5765 172500        172500
## 5766 110500        110500
## 5767 238000        238000
## 5768 176000        176000
## 5769 237000        237000
## 5770 201450        201450
## 5771 309400        309400
## 5772 159100        159100
## 5773 115000        115000
## 5774  81500         81500
## 5775 237000        237000
## 5776 201450        201450
## 5777 280000        280000
## 5778 210000        210000
## 5779 280100        280100
## 5780 168100        168100
## 5781 193500        193500
## 5782 139000        139000
## 5783 150000        150000
## 5784  65000         70179
## 5785  90000         97171
## 5786 185900        185900
## 5787 129300        129300
## 5788 225000        225000
## 5789 175000        175000
## 5790 185000        185000
## 5791 140000        140000
## 5792  45000         48585
## 5793  36000         38868
## 5794 105000        105000
## 5795  70000         70000
## 5796 163196        163196
## 5797 145885        145885
## 5798 217000        217000
## 5799 185000        185000
## 5800 202800        202800
## 5801 104300        104300
## 5802 145000        145000
## 5803  65000         65000
## 5804 165000        165000
## 5805 132300        132300
## 5806 179170        179170
## 5807  94300         94300
## 5808 152500        152500
## 5809 116450        116450
## 5810 247300        247300
## 5811 133800        133800
## 5812 203000        203000
## 5813 133000        133000
## 5814 220000        220000
## 5815  54000         56536
## 5816 150000        150000
## 5817 120000        120000
## 5818 289800        289800
## 5819 214000        214000
## 5820 179820        179820
## 5821 143860        143860
## 5822 283200        283200
## 5823 188800        188800
## 5824 289800        289800
## 5825 214200        214200
## 5826 185900        185900
## 5827 129300        129300
## 5828 252000        252000
## 5829 129000        129000
## 5830 155000        155000
## 5831 140000        140000
## 5832 161800        161800
## 5833 141600        141600
## 5834 342300        342300
## 5835 176100        176100
## 5836 100000        100000
## 5837  70000         70000
## 5838  85000         85000
## 5839  65000         65000
## 5840 138784        138784
## 5841  83270         83270
## 5842  75000         75000
## 5843  70000         70000
## 5844 204500        204500
## 5845 138900        138900
## 5846 318300        318300
## 5847 212200        212200
## 5848  95000         95000
## 5849  75000         75000
## 5850 195000        195000
## 5851 160000        160000
## 5852 230000        230000
## 5853 143200        143200
## 5854 100000        100000
## 5855  70000         70000
## 5856 105000        105000
## 5857  38000         46755
## 5858  35000         43064
## 5859 145000        145000
## 5860 115000        115000
## 5861 168400        168400
## 5862 105200        105200
## 5863 309400        309400
## 5864 159100        159100
## 5865 190000        190000
## 5866 150000        150000
## 5867 162500        162500
## 5868 130000        130000
## 5869 150000        150000
## 5870 120000        120000
## 5871 145000        145000
## 5872 120000        120000
## 5873 222200        222200
## 5874 136000        136000
## 5875  45000         55368
## 5876  35000         43064
## 5877 241000        241000
## 5878 155000        155000
## 5879 220000        220000
## 5880 190000        190000
## 5881  55000         67672
## 5882  45000         55368
## 5883  15000         15000
## 5884  70000         86128
## 5885  47500         58444
## 5886  85000         85000
## 5887  75000         75000
## 5888 160000        160000
## 5889 140000        140000
## 5890 300000        300000
## 5891 250000        250000
## 5892 228000        228000
## 5893 186000        186000
## 5894 190000        190000
## 5895 170000        170000
## 5896 230000        230000
## 5897 200000        200000
## 5898 180000        180000
## 5899 115000        115000
## 5900 200000        200000
## 5901 115000        115000
## 5902  50000         53984
## 5903 220000        220000
## 5904 205000        205000
## 5905 180000        180000
## 5906 130000        130000
## 5907 200000        200000
## 5908 150000        150000
## 5909 215000        215000
## 5910 170000        170000
## 5911 247500        247500
## 5912 172200        172200
## 5913 224000        224000
## 5914 176000        176000
## 5915 120000        120000
## 5916  75000         75000
## 5917 100000         67635
## 5918 100000         74883
## 5919 140000        140000
## 5920 120000        120000
## 5921 128000        128000
## 5922  81500         81500
## 5923 145000        145000
## 5924 115000        115000
## 5925 185000        185000
## 5926 140000        140000
## 5927 329500        329500
## 5928 269600        269600
## 5929 100000        100000
## 5930  80000         80000
## 5931 250000        250000
## 5932 162500        162500
## 5933 200000        200000
## 5934 145000        145000
## 5935 100000        100000
## 5936 145000        145000
## 5937 115000        115000
## 5938 203500        203500
## 5939 152000        152000
## 5940 239000        239000
## 5941 122900        122900
## 5942 237000        237000
## 5943 145000        145000
## 5944 191765        191765
## 5945 134236        134236
## 5946 190000        190000
## 5947 112000        112000
## 5948  84000         88256
## 5949  85000         85000
## 5950  65000         65000
## 5951 135000        135000
## 5952 105500        105500
## 5953 293000        293000
## 5954 185000        185000
## 5955  80000         80000
## 5956  70000         70000
## 5957 220000        220000
## 5958 160000        160000
## 5959 175000        175000
## 5960 145000        145000
## 5961 200000        200000
## 5962 148500        148500
## 5963  45000         48585
## 5964  36000         38868
## 5965 240500        240500
## 5966 123700        123700
## 5967 152900        152900
## 5968 117100        117100
## 5969 173000        173000
## 5970 113000        113000
## 5971 260000        260000
## 5972 136000        136000
## 5973 175000        175000
## 5974 110000        110000
## 5975 260000        260000
## 5976 136000        136000
## 5977 130000        130000
## 5978 110000        110000
## 5979 205000        205000
## 5980 184000        184000
## 5981 149500        149500
## 5982 127075        127075
## 5983 195000        195000
## 5984 160000        160000
## 5985 219535        219535
## 5986 146115        146115
## 5987 170000        170000
## 5988 135000        135000
## 5989 175000        175000
## 5990 145000        145000
## 5991 199000        199000
## 5992 162000        162000
## 5993 222200        222200
## 5994 136000        136000
## 5995 221000        221000
## 5996 153000        153000
## 5997 187000        187000
## 5998 128000        128000
## 5999 210000        210000
## 6000 136000        136000
## 6001 175000        175000
## 6002 100000        100000
## 6003 179000        179000
## 6004 109000        109000
## 6005 245000        245000
## 6006 180000        180000
## 6007 142000        142000
## 6008  75000         75000
## 6009 198800        198800
## 6010 105200        105200
## 6011 125000        125000
## 6012 112000        112000
## 6013 210000        210000
## 6014 155000        155000
## 6015 115000        115000
## 6016  86000         86000
## 6017 165000        165000
## 6018 140000        140000
## 6019 139000        139000
## 6020 106000        106000
## 6021  55000         40747
## 6022 275000        275000
## 6023  50000         50000
## 6024 280700        280700
## 6025 150450        150450
## 6026  70000         51861
## 6027 250500        250500
## 6028 159500        159500
## 6029 145000        145000
## 6030 115000        115000
## 6031 140000        140000
## 6032 120000        120000
## 6033 130001        130001
## 6034  71907         71907
## 6035  93918         93918
## 6036  51962         51962
## 6037 175000        175000
## 6038 135000        135000
## 6039  85000         85000
## 6040  65000         65000
## 6041 257000        257000
## 6042 147000        147000
## 6043 222000        222000
## 6044 175000        175000
## 6045 203000        203000
## 6046 133200        133200
## 6047 213660        213660
## 6048 130760        130760
## 6049 221000        221000
## 6050 147000        147000
## 6051 100000        100000
## 6052  80000         80000
## 6053 185900        185900
## 6054 129300        129300
## 6055 238000        238000
## 6056 156000        156000
## 6057 304000        304000
## 6058 199000        199000
## 6059  45000         48585
## 6060 150000        150000
## 6061 130000        130000
## 6062 140000        140000
## 6063 110000        110000
## 6064  90000         90000
## 6065  75000         75000
## 6066 161200        198340
## 6067  84570        104055
## 6068 240000        240000
## 6069 183600        183600
## 6070 130000        130000
## 6071  80000         80000
## 6072 250000        250000
## 6073 150000        150000
## 6074 160000        160000
## 6075 120000        120000
## 6076 289076        289076
## 6077 202353        202353
## 6078 145000        145000
## 6079 120000        120000
## 6080 155000        155000
## 6081 106000        106000
## 6082 200000        200000
## 6083 160000        160000
## 6084 157750        157750
## 6085 104650        104650
## 6086 180000        180000
## 6087 140000        140000
## 6088 200000        200000
## 6089 145000        145000
## 6090  68000         68000
## 6091  60000         60000
## 6092  45000         48585
## 6093  36000         38868
## 6094  85000         85000
## 6095  65000         65000
## 6096 125000        125000
## 6097  90000         90000
## 6098 105000        105000
## 6099  90000         90000
## 6100 179820        179820
## 6101 143860        143860
## 6102 135000        135000
## 6103 105500        105500
## 6104 155000        155000
## 6105 125000        125000
## 6106 241000        241000
## 6107 181000        181000
## 6108 252000        252000
## 6109 154000        154000
## 6110 180000        180000
## 6111 155000        155000
## 6112 191765        191765
## 6113 134236        134236
## 6114 175000        175000
## 6115 145000        145000
## 6116 237000        237000
## 6117 145000        145000
## 6118 155000        155000
## 6119 125000        125000
## 6120  80000         80000
## 6121  70000         70000
## 6122 146000        146000
## 6123  75000         75000
## 6124  64200         64200
## 6125  56100         56100
## 6126 170000        170000
## 6127 130000        130000
## 6128 208450        208450
## 6129 170550        170550
## 6130 125000        125000
## 6131 100000        100000
## 6132 135000        135000
## 6133 120000        120000
## 6134 200000        200000
## 6135 170000        170000
## 6136 171250        171250
## 6137 113750        113750
## 6138 222200        222200
## 6139 136000        136000
## 6140 260000        260000
## 6141 136000        136000
## 6142 153600        153600
## 6143 100500        100500
## 6144 205000        205000
## 6145 184000        184000
## 6146 115000        115000
## 6147  95000         95000
## 6148 182500        182500
## 6149 121500        121500
## 6150 203100        203100
## 6151 114500        114500
## 6152  60000         73824
## 6153  45000         55368
## 6154 252000        252000
## 6155 129000        129000
## 6156  92700         92700
## 6157  61800         61800
## 6158 160000        160000
## 6159 130000        130000
## 6160 258000        258000
## 6161 190000        190000
## 6162 170000        170000
## 6163 135000        135000
## 6164 167500        167500
## 6165 106500        106500
## 6166 195000        195000
## 6167 160000        160000
## 6168 146000        146000
## 6169  75000         75000
## 6170  57000         59888
## 6171 286000        286000
## 6172 207000        207000
## 6173 100000        100000
## 6174  80000         80000
## 6175 223250        223250
## 6176 178600        178600
## 6177 353200        353200
## 6178 249300        249300
## 6179 230000        230000
## 6180 220000        220000
## 6181 297300        297300
## 6182 198200        198200
## 6183 210000        210000
## 6184 151800        151800
## 6185 200000        200000
## 6186 170000        170000
## 6187 317070        317070
## 6188 170730        170730
## 6189 128000        128000
## 6190  81500         81500
## 6191  20000         21593
## 6192 108000        108000
## 6193  60000         60000
## 6194 134000        134000
## 6195 124000        124000
## 6196 171250        171250
## 6197 113750        113750
## 6198 165000        165000
## 6199 132300        132300
## 6200 225000        225000
## 6201 175000        175000
## 6202 230000        230000
## 6203 124500        124500
## 6204 247500        247500
## 6205 172200        172200
## 6206 175000        175000
## 6207 145000        145000
## 6208 148700        148700
## 6209 125600        125600
## 6210 145000        145000
## 6211 115000        115000
## 6212 200000        200000
## 6213 150000        150000
## 6214 160000        160000
## 6215 120000        120000
## 6216 185000        185000
## 6217 120250        120250
## 6218 275300        275300
## 6219 183000        183000
## 6220 170000        170000
## 6221 125000        125000
## 6222 167500        167500
## 6223 106500        106500
## 6224 250000        250000
## 6225 200000        200000
## 6226 135000        135000
## 6227 216000        216000
## 6228 184000        184000
## 6229 180000        180000
## 6230 165000        165000
## 6231 185900        185900
## 6232 129300        129300
## 6233 145000        145000
## 6234 120000        120000
## 6235 143865        143865
## 6236 115092        115092
## 6237 130000        130000
## 6238  90000         90000
## 6239 173000        173000
## 6240 132000        132000
## 6241 208049        208049
## 6242 128500        128500
## 6243 179820        179820
## 6244 143860        143860
## 6245 167500        167500
## 6246 106500        106500
## 6247 275300        275300
## 6248 183500        183500
## 6249 149600        149600
## 6250 102000        102000
## 6251 145000        145000
## 6252 100000        100000
## 6253 190000        190000
## 6254  95000         95000
## 6255 153600        153600
## 6256 106800        106800
## 6257  90000         97171
## 6258  75000         80976
## 6259 128000        128000
## 6260  85000         85000
## 6261 151000        151000
## 6262 140000        140000
## 6263 275300        275300
## 6264 183500        183500
## 6265 220000        220000
## 6266 170000        170000
## 6267 135000        135000
## 6268 105500        105500
## 6269 100000        100000
## 6270  80000         80000
## 6271  40000         43187
## 6272 160000        160000
## 6273 145000        145000
## 6274 154000        154000
## 6275 143000        143000
## 6276  65000         79976
## 6277  42000         51676
## 6278 190000        190000
## 6279 120000        120000
## 6280  70000         86128
## 6281  42000         51676
## 6282  90000        110736
## 6283  60000         73824
## 6284 150000        150000
## 6285 111000        111000
## 6286 265000        265000
## 6287 235000        235000
## 6288 112000        122638
## 6289  70000         73546
## 6290 160000        160000
## 6291 130000        130000
## 6292  75000         75000
## 6293  60400         60400
## 6294  85000         85000
## 6295  75000         75000
## 6296 252000        252000
## 6297 129000        129000
## 6298  92700         92700
## 6299  61800         61800
## 6300 164000        172309
## 6301  56000         60462
## 6302  83500         83500
## 6303  52500         52500
## 6304 201036        201036
## 6305 134024        134024
## 6306 165000        165000
## 6307 140000        140000
## 6308  62000         62000
## 6309  58000         58000
## 6310 172000        172000
## 6311 115000        115000
## 6312 125000        125000
## 6313  90000         90000
## 6314 163800        163800
## 6315 126000        126000
## 6316 237000        237000
## 6317 145000        145000
## 6318  90000         90000
## 6319  90000         90000
## 6320 139500        139500
## 6321 109400        109400
## 6322 258000        258000
## 6323 190000        190000
## 6324 145000        145000
## 6325 120000        120000
## 6326 205600        205600
## 6327 105700        105700
## 6328 252000        252000
## 6329 129000        129000
## 6330 239748        239748
## 6331 159832        159832
## 6332 186300        186300
## 6333 102500        102500
## 6334 165000        165000
## 6335 132300        132300
## 6336 190000        190000
## 6337 126000        126000
## 6338 149040        149040
## 6339 113900        113900
## 6340 153600        153600
## 6341 106800        106800
## 6342 172600        172600
## 6343 107900        107900
## 6344 180180        180180
## 6345 106020        106020
## 6346 376080        376080
## 6347 213120        213120
## 6348 153600        153600
## 6349 100500        100500
## 6350 206500        206500
## 6351 121600        121600
## 6352 260000        260000
## 6353 225000        225000
## 6354 194500        194500
## 6355 115500        115500
## 6356 170000        170000
## 6357  90000         90000
## 6358  95000         95000
## 6359  70000         70000
## 6360 275000        275000
## 6361 160000        160000
## 6362 115934        115934
## 6363  81666         81666
## 6364 175000        175000
## 6365 120000        120000
## 6366 150000        150000
## 6367 120000        120000
## 6368 200000        200000
## 6369 175000        175000
## 6370 206000        206000
## 6371 130000        130000
## 6372 138000        138000
## 6373  92000         92000
## 6374  65000         65000
## 6375  48000         48000
## 6376 110000        110000
## 6377  75000         75000
## 6378 130000        130000
## 6379  87000         87000
## 6380 160000        160000
## 6381 112000        112000
## 6382 162500        162500
## 6383 130000        130000
## 6384 299500        299500
## 6385 245100        245100
## 6386 145000        145000
## 6387 100000        100000
## 6388 147100        147100
## 6389  90700         90700
## 6390 115100        115100
## 6391  73900         73900
## 6392 168400        168400
## 6393 105200        105200
## 6394 210000        210000
## 6395 160000        160000
## 6396 145000        145000
## 6397 100000        100000
## 6398 222200        222200
## 6399 136000        136000
## 6400 100000        100000
## 6401  85000         85000
## 6402  70000         86128
## 6403  47500         58444
## 6404 200000        200000
## 6405 145000        145000
## 6406 140000        140000
## 6407  95000         95000
## 6408 185000        185000
## 6409 120250        120250
## 6410 130000        130000
## 6411 205000        205000
## 6412 140000        140000
## 6413 297300        297300
## 6414 198200        198200
## 6415 141288        141288
## 6416  94192         94192
## 6417 184000        184000
## 6418 143000        143000
## 6419  70000         70000
## 6420  55000         55000
## 6421 275300        275300
## 6422 183500        183500
## 6423  75000         75000
## 6424  65000         65000
## 6425 160000        160000
## 6426 147000        147000
## 6427 149040        149040
## 6428 113900        113900
## 6429 100000         74883
## 6430 180180        180180
## 6431 106020        106020
## 6432  70000         70000
## 6433  80000         80000
## 6434 250000        250000
## 6435 150000        150000
## 6436 139500        139500
## 6437 109400        109400
## 6438 105000        105000
## 6439  70000         70000
## 6440 210914        210914
## 6441 116704        116704
## 6442 150000        150000
## 6443 100000        100000
## 6444 146000        146000
## 6445  75000         75000
## 6446  75000         75000
## 6447  60000         60000
## 6448 185700        185700
## 6449 165000        165000
## 6450 160000        160000
## 6451 130000        130000
## 6452 169000        169000
## 6453 110600        110600
## 6454 193000        193000
## 6455 136850        136850
## 6456 139500        139500
## 6457 109400        109400
## 6458 276000        276000
## 6459 178500        178500
## 6460  55000         59382
## 6461  45000         48585
## 6462  70000         75577
## 6463  45000         48585
## 6464 161000        198094
## 6465  83300        102492
## 6466 112700        138666
## 6467  83300        102492
## 6468 252000        252000
## 6469 129000        129000
## 6470 130000        130000
## 6471 150000        150000
## 6472 163800        163800
## 6473 126000        126000
## 6474 260000        260000
## 6475 110000        110000
## 6476 170000        170000
## 6477 130000        130000
## 6478 247500        247500
## 6479 172200        172200
## 6480 239748        239748
## 6481 159832        159832
## 6482 163800        163800
## 6483 126000        126000
## 6484 128750        128750
## 6485 106250        106250
## 6486 252000        252000
## 6487 129000        129000
## 6488 299500        299500
## 6489 245100        245100
## 6490 155000        155000
## 6491 140000        140000
## 6492 167500        167500
## 6493 106500        106500
## 6494 188500        188500
## 6495 117000        117000
## 6496 250000        250000
## 6497 138000        138000
## 6498 130000        130000
## 6499 100000        100000
## 6500 115000        124163
## 6501 140000        140000
## 6502 120000        120000
## 6503 160000        160000
## 6504 135000        135000
## 6505 104500        104500
## 6506  70000         70000
## 6507  90000         90000
## 6508  70000         70000
## 6509 153600        153600
## 6510 106800        106800
## 6511 125000        125000
## 6512  90000         90000
## 6513 185000        185000
## 6514 125000        125000
## 6515 127000        127000
## 6516  94000         94000
## 6517 210550        210550
## 6518 153300        153300
## 6519 200000        200000
## 6520 150000        150000
## 6521 161500        161500
## 6522 119500        119500
## 6523 175000        175000
## 6524 145000        145000
## 6525 175000        175000
## 6526 148750        148750
## 6527 105000        105000
## 6528  85000         85000
## 6529 215000        215000
## 6530 146300        146300
## 6531 200000        215936
## 6532  72000         72000
## 6533  60000         60000
## 6534 153400        153400
## 6535 122700        122700
## 6536 260000        260000
## 6537 175000        175000
## 6538 186300        186300
## 6539 123900        123900
## 6540 340000        340000
## 6541 150000        150000
## 6542 153400        153400
## 6543 122700        122700
## 6544 250000        250000
## 6545 175000        175000
## 6546  60000         64781
## 6547 185900        185900
## 6548 121700        121700
## 6549 153600        153600
## 6550 106800        106800
## 6551  50000         50000
## 6552 100000        100000
## 6553 247500        247500
## 6554 172200        172200
## 6555 310000        310000
## 6556 239000        239000
## 6557 125000        125000
## 6558 110000        110000
## 6559 150000        150000
## 6560 100000        100000
## 6561 149076        149076
## 6562  82365         82365
## 6563 146000        146000
## 6564  75000         75000
## 6565 139500        139500
## 6566 109400        109400
## 6567 139500        139500
## 6568 109400        109400
## 6569 149600        149600
## 6570 102000        102000
## 6571  80000         98432
## 6572  40000         49216
## 6573 252000        252000
## 6574 129000        129000
## 6575  95000         95000
## 6576  85500         85500
## 6577 185900        185900
## 6578 121700        121700
## 6579 150000        150000
## 6580 100000        100000
## 6581 145000        145000
## 6582 125000        125000
## 6583 150000        150000
## 6584  97750         97750
## 6585 201000        201000
## 6586 122000        122000
## 6587 252000        252000
## 6588 129000        129000
## 6589 120000        120000
## 6590  75000         75000
## 6591 116990        116990
## 6592  82920         82920
## 6593 185900        185900
## 6594 129300        129300
## 6595 200000        200000
## 6596 125000        125000
## 6597 201000        201000
## 6598 122000        122000
## 6599 204500        204500
## 6600 142200        142200
## 6601 155000        155000
## 6602 140000        140000
## 6603 205920        205920
## 6604 171600        171600
## 6605 121500        121500
## 6606  78000         78000
## 6607 154000        154000
## 6608 116000        116000
## 6609 190000        190000
## 6610 136000        136000
## 6611  65000         79976
## 6612  36050         44356
## 6613 180000        180000
## 6614 110000        110000
## 6615 275300        275300
## 6616 183000        183000
## 6617 170000        170000
## 6618 140000        140000
## 6619 154000        154000
## 6620 116000        116000
## 6621 160000        160000
## 6622 130000        130000
## 6623 200000        200000
## 6624 120000        120000
## 6625 175000        175000
## 6626 160000        160000
## 6627 105000        129192
## 6628  85000        104584
## 6629 153600        153600
## 6630 106800        106800
## 6631  85000         85000
## 6632  75000         75000
## 6633 225000        225000
## 6634 156400        156400
## 6635 150000        150000
## 6636 120000        120000
## 6637 163800        163800
## 6638 126000        126000
## 6639 145000        145000
## 6640  90000         90000
## 6641 204500        204500
## 6642 142200        142200
## 6643  95000         95000
## 6644  85500         85500
## 6645 167500        167500
## 6646 106500        106500
## 6647 163800        163800
## 6648 126000        126000
## 6649 155000        155000
## 6650 140000        140000
## 6651 250000        250000
## 6652 200000        200000
## 6653 260000        260000
## 6654 186000        186000
## 6655 160000        160000
## 6656 130000        130000
## 6657 200000        200000
## 6658 150000        150000
## 6659  45000         48585
## 6660  36000         38868
## 6661 150000        150000
## 6662 120000        120000
## 6663  30000         30000
## 6664 185000        185000
## 6665 125000        125000
## 6666  34320         34320
## 6667  70000         75577
## 6668 106000        106000
## 6669 175000        175000
## 6670 130000        130000
## 6671 122000        122000
## 6672  93800         93800
## 6673 150000        150000
## 6674  90000         90000
## 6675 165000        165000
## 6676 112000        112000
## 6677 220000        220000
## 6678  67000         72338
## 6679  60000         64781
## 6680 204500        204500
## 6681 142200        142200
## 6682 200000        200000
## 6683 175000        175000
## 6684 185900        185900
## 6685 129300        129300
## 6686 185900        185900
## 6687 121700        121700
## 6688 204500        204500
## 6689 142200        142200
## 6690  40000         40000
## 6691 180180        180180
## 6692 106020        106020
## 6693 136000        136000
## 6694 104000        104000
## 6695 125000        125000
## 6696 110000        110000
## 6697 153400        153400
## 6698 122700        122700
## 6699 310000        310000
## 6700 239000        239000
## 6701 152380        152380
## 6702 121904        121904
## 6703 185900        185900
## 6704 129300        129300
## 6705 247500        247500
## 6706 172200        172200
## 6707 168400        168400
## 6708 105200        105200
## 6709 128280        128280
## 6710 106900        106900
## 6711 192000        192000
## 6712 140000        140000
## 6713 100000        100000
## 6714 100000        107968
## 6715  80000         86374
## 6716 275000        275000
## 6717 174000        174000
## 6718 139500        139500
## 6719 109400        109400
## 6720 139500        139500
## 6721 109400        109400
## 6722 170500        170500
## 6723  85000         85000
## 6724  60027         73857
## 6725  44737         55044
## 6726 131899        162288
## 6727 104891        129058
## 6728  80000         80000
## 6729  65000         65000
## 6730 124740        124740
## 6731  65488         65488
## 6732  72200         72200
## 6733  64980         64980
## 6734 153600        153600
## 6735 106800        106800
## 6736 179975        179975
## 6737  86466         86466
## 6738 120000        120000
## 6739  90000         90000
## 6740  42000         51676
## 6741  35000         43064
## 6742 149076        149076
## 6743  82365         82365
## 6744 169000        169000
## 6745 110600        110600
## 6746 175000        175000
## 6747 120000        120000
## 6748 230000        230000
## 6749 180000        180000
## 6750 153600        153600
## 6751 106800        106800
## 6752 140000        140000
## 6753 120000        120000
## 6754 205920        205920
## 6755 171600        171600
## 6756 165000        165000
## 6757 125000        125000
## 6758 265000        265000
## 6759 185000        185000
## 6760 130000        130000
## 6761 168000        168000
## 6762  36000         38868
## 6763  95000         95000
## 6764  85500         85500
## 6765 147100        147100
## 6766  90700         90700
## 6767 167580        167580
## 6768  87980         87980
## 6769 202000        202000
## 6770 135000        135000
## 6771 163800        163800
## 6772 126000        126000
## 6773 163800        163800
## 6774 126000        126000
## 6775 104000        104000
## 6776  65000         65000
## 6777 230000        230000
## 6778 148000        148000
## 6779 269000        269000
## 6780 158000        158000
## 6781 197000        197000
## 6782 106000        106000
## 6783 150000        150000
## 6784 100000        100000
## 6785 290000        290000
## 6786 210000        210000
## 6787 192000        192000
## 6788 172800        172800
## 6789 300240        300240
## 6790 200160        200160
## 6791 300240        300240
## 6792 200160        200160
## 6793 175000        175000
## 6794 140000        140000
## 6795 169000        169000
## 6796 100000        100000
## 6797 370000        370000
## 6798 245000        245000
## 6799  95000        116888
## 6800 110000        110000
## 6801  80000         80000
## 6802  55000         55000
## 6803  48000         48000
## 6804  95000         95000
## 6805  85000         85000
## 6806 137500        137500
## 6807  81500         81500
## 6808 323300        323300
## 6809 184700        184700
## 6810  30000         30000
## 6811 186000        186000
## 6812 153088        153088
## 6813 190000        190000
## 6814 160000        160000
## 6815 200000        200000
## 6816 150000        150000
## 6817 190000        190000
## 6818 183310        183310
## 6819 240000        240000
## 6820 180000        180000
## 6821 200000        200000
## 6822 150000        150000
## 6823 299500        299500
## 6824 245100        245100
## 6825 144000        144000
## 6826  66000         66000
## 6827 148500        148500
## 6828 126277        126277
## 6829 228000        228000
## 6830 120000        120000
## 6831 180000        180000
## 6832  90000         90000
## 6833 126500        126500
## 6834  78000         78000
## 6835 180000        180000
## 6836 160000        160000
## 6837 272000        272000
## 6838 170000        170000
## 6839  80000         80000
## 6840  60000         60000
## 6841 259000        259000
## 6842 146000        146000
## 6843 200000        200000
## 6844 160000        160000
## 6845 310000        310000
## 6846 239000        239000
## 6847 142000        142000
## 6848  95000         95000
## 6849 155000        155000
## 6850 139500        139500
## 6851 140000        140000
## 6852 120000        120000
## 6853 259000        259000
## 6854 146000        146000
## 6855  90000        110736
## 6856  60000         73824
## 6857  78000         18160
## 6858 101400         19910
## 6859 247500        247500
## 6860 172200        172200
## 6861 225000        225000
## 6862 156400        156400
## 6863 139500        139500
## 6864 109400        109400
## 6865 125000        125000
## 6866  90000         90000
## 6867 100000        107968
## 6868  70000         75577
## 6869 185900        185900
## 6870 129300        129300
## 6871 139500        139500
## 6872 109400        109400
## 6873 120000        120000
## 6874  75000         75000
## 6875 169000        169000
## 6876 110600        110600
## 6877 288000        288000
## 6878 140000        140000
## 6879 288000        288000
## 6880 140000        140000
## 6881 120000        120000
## 6882  90000         90000
## 6883  60000         73824
## 6884  50000         61520
## 6885 215050        215050
## 6886 156400        156400
## 6887 198000        198000
## 6888 114000        114000
## 6889  75000         75000
## 6890  60000         60000
## 6891 204500        204500
## 6892 142200        142200
## 6893 209300        209300
## 6894 182200        182200
## 6895 140000        140000
## 6896 120000        120000
## 6897  85000         85000
## 6898  40000         49216
## 6899 120000        120000
## 6900  60000         60000
## 6901 147100        147100
## 6902  90700         90700
## 6903 230000        230000
## 6904 170000        170000
## 6905 227000        227000
## 6906 108000        108000
## 6907 180000        180000
## 6908 160000        160000
## 6909 180000        180000
## 6910 160000        160000
## 6911 180000        180000
## 6912 130000        130000
## 6913  52000         56143
## 6914  48000         51824
## 6915  60000         60000
## 6916  50000         50000
## 6917 226700        226700
## 6918 133300        133300
## 6919 252000        252000
## 6920 129000        129000
## 6921 124999        153799
## 6922  80000         80000
## 6923  52500         52500
## 6924 250000        250000
## 6925 162500        162500
## 6926  85000         85000
## 6927  75000         75000
## 6928 153600        153600
## 6929 106800        106800
## 6930 165000        165000
## 6931 124000        124000
## 6932 115934        115934
## 6933  81666         81666
## 6934 167580        167580
## 6935  87980         87980
## 6936 250000        250000
## 6937  63000         63000
## 6938 253750        253750
## 6939 169200        169200
## 6940 253750        253750
## 6941 169200        169200
## 6942 170000        170000
## 6943 120000        120000
## 6944 124740        124740
## 6945  65488         65488
## 6946 213580        213580
## 6947 163625        163625
## 6948 375000        375000
## 6949  95000        102569
## 6950 220000        220000
## 6951 170000        170000
## 6952 235000        235000
## 6953 210000        210000
## 6954 180000        180000
## 6955 115000        115000
## 6956 200000        200000
## 6957 115000        115000
## 6958 231250        231250
## 6959 138750        138750
## 6960 284310        284310
## 6961 153090        153090
## 6962 160000        160000
## 6963  75000         75000
## 6964 125000        125000
## 6965 105000        105000
## 6966  90000        110736
## 6967  70000         86128
## 6968  55000         55000
## 6969  48000         48000
## 6970 100000        100000
## 6971 225900        225900
## 6972 156400        156400
## 6973 250000        250000
## 6974 162500        162500
## 6975 318300        318300
## 6976 188800        188800
## 6977 385000        385000
## 6978  60000         60000
## 6979 110000        110000
## 6980  95000         95000
## 6981 145000        145000
## 6982 135000        135000
## 6983 180180        180180
## 6984 106020        106020
## 6985  93919         93919
## 6986  51962         51962
## 6987 241871        241871
## 6988 133832        133832
## 6989 170000        170000
## 6990  90000         90000
## 6991 210914        210914
## 6992 116704        116704
## 6993 192500        192500
## 6994 140000        140000
## 6995 149076        149076
## 6996  82365         82365
## 6997  36000         36000
## 6998 175000        175000
## 6999 148750        148750
## 7000 370000        370000
## 7001 200000        200000
## 7002 235000        235000
## 7003 185000        185000
## 7004 100000        123040
## 7005  80000         98432
## 7006 216100        216100
## 7007 140800        140800
## 7008 120000        147648
## 7009 100000        123040
## 7010  50000         53984
## 7011 110000        110000
## 7012 128000        128000
## 7013  81500         81500
## 7014  55000         67672
## 7015  52000         63980
## 7016  50000         61520
## 7017  45000         55368
## 7018 284000        284000
## 7019 236000        236000
## 7020 248100        248100
## 7021 145900        145900
## 7022 155850        155850
## 7023 102544        102544
## 7024 151410        151410
## 7025 115360        115360
## 7026  62000         66940
## 7027  55000         59382
## 7028 170000        125948
## 7029 100000        100000
## 7030 250000        250000
## 7031 162500        162500
## 7032 185000        185000
## 7033 120250        120250
## 7034  25000         26992
## 7035 180000        180000
## 7036  85000         85000
## 7037  70000         70000
## 7038 135000        135000
## 7039 100000        100000
## 7040 155000        155000
## 7041 140000        140000
## 7042 204500        204500
## 7043 142200        142200
## 7044 226700        226700
## 7045 133300        133300
## 7046 225000        225000
## 7047 156400        156400
## 7048 163800        163800
## 7049 126000        126000
## 7050 163800        163800
## 7051 126000        126000
## 7052 220000        220000
## 7053 150000        150000
## 7054 145000        145000
## 7055 115000        115000
## 7056 204500        204500
## 7057 138900        138900
## 7058 162500        162500
## 7059 130000        130000
## 7060 150000        150000
## 7061 107000        107000
## 7062 175000        175000
## 7063 110000        110000
## 7064 226700        226700
## 7065 133300        133300
## 7066 252000        252000
## 7067 129000        129000
## 7068 150000        150000
## 7069 125000        125000
## 7070 252000        252000
## 7071 129000        129000
## 7072 225000        225000
## 7073 156400        156400
## 7074  23000         23000
## 7075 110000        110000
## 7076 265000        265000
## 7077 182750        182750
## 7078 130000        130000
## 7079 100000        100000
## 7080 153600        153600
## 7081 106800        106800
## 7082 137500        137500
## 7083  81500         81500
## 7084 314100        314100
## 7085 195800        195800
## 7086 205000        205000
## 7087 180000        180000
## 7088 165000        165000
## 7089 144000        144000
## 7090 160000        160000
## 7091 100000        100000
## 7092 200000        200000
## 7093 145000        145000
## 7094 150000        150000
## 7095 100000        100000
## 7096 199000        199000
## 7097 112000        112000
## 7098 105000        105000
## 7099  70000         70000
## 7100 130000        130000
## 7101 180180        180180
## 7102 106020        106020
## 7103 160000        160000
## 7104 135000        135000
## 7105 183000        183000
## 7106 134000        134000
## 7107 220000        220000
## 7108 150000        150000
## 7109 350000        350000
## 7110 262500        262500
## 7111 122000        122000
## 7112  94000         94000
## 7113 276000        276000
## 7114 184000        184000
## 7115 310000        310000
## 7116 239000        239000
## 7117 225000        225000
## 7118 156400        156400
## 7119 180000        180000
## 7120 150000        150000
## 7121 228000        228000
## 7122 152000        152000
## 7123 209450        209450
## 7124 158677        158677
## 7125 175000        175000
## 7126 145000        145000
## 7127 240000        240000
## 7128 170000        170000
## 7129 103200        103200
## 7130  61200         61200
## 7131 155000        155000
## 7132  90000         66970
## 7133  59000         63701
## 7134 237000        237000
## 7135 145000        145000
## 7136 240000        240000
## 7137 139000        139000
## 7138 174500        174500
## 7139 113000        113000
## 7140 130000        130000
## 7141  87000         87000
## 7142 160000        160000
## 7143 108000        108000
## 7144 165000        165000
## 7145 107250        107250
## 7146 300000        300000
## 7147 119000        119000
## 7148 285800        285800
## 7149 154600        154600
## 7150  30000         30000
## 7151 220000        220000
## 7152 195000        195000
## 7153 168400        168400
## 7154 105200        105200
## 7155 206000        206000
## 7156 160000        160000
## 7157 200000        200000
## 7158 175000        175000
## 7159 231250        231250
## 7160 138750        138750
## 7161 153000        153000
## 7162  94000         94000
## 7163 240500        240500
## 7164 123700        123700
## 7165 160000        160000
## 7166  90000         90000
## 7167 124234        124234
## 7168  74540         74540
## 7169 109000        109000
## 7170  79000         79000
## 7171  80000         84053
## 7172  50000         50000
## 7173 275300        275300
## 7174 183500        183500
## 7175 275300        275300
## 7176 183500        183500
## 7177 160000        160000
## 7178 125600        125600
## 7179 170000        170000
## 7180 120000        120000
## 7181 225000        225000
## 7182 140000        140000
## 7183 141290        141290
## 7184  74178         74178
## 7185 150000        150000
## 7186 120000        120000
## 7187  85000         85000
## 7188  75000         75000
## 7189 220000        220000
## 7190 160000        160000
## 7191 205600        205600
## 7192 107500        107500
## 7193 120000        120000
## 7194  95000         95000
## 7195 185900        185900
## 7196 129300        129300
## 7197 160000        160000
## 7198 130000        130000
## 7199 250000        250000
## 7200 175000        175000
## 7201 136000        136000
## 7202 104000        104000
## 7203  80000         80000
## 7204  52500         52500
## 7205 110000        110000
## 7206  84000         84000
## 7207 125000        125000
## 7208 110000        110000
## 7209  90000         90000
## 7210  80000         80000
## 7211 200000        200000
## 7212 135000        135000
## 7213  48000         48000
## 7214 120000        120000
## 7215 130000        130000
## 7216  75000         75000
## 7217 252000        252000
## 7218 129000        129000
## 7219 150000        150000
## 7220 100000        100000
## 7221 226700        226700
## 7222 133300        133300
## 7223 190000        190000
## 7224 165000        165000
## 7225 170000        170000
## 7226 150000        150000
## 7227 150000        150000
## 7228 130000        130000
## 7229 225000        225000
## 7230 156400        156400
## 7231 200000        200000
## 7232  80000         80000
## 7233 257000        257000
## 7234 134000        134000
## 7235  72000         77737
## 7236  36000         38868
## 7237 205600        205600
## 7238 105700        105700
## 7239 140000        140000
## 7240 110000        110000
## 7241 299500        299500
## 7242 245100        245100
## 7243 210000        210000
## 7244 151800        151800
## 7245  50000         53984
## 7246  48000         51824
## 7247  38000         41027
## 7248  48000         51824
## 7249  38000         41027
## 7250 160000        160000
## 7251 135000        135000
## 7252 120000        120000
## 7253  95000         95000
## 7254 250000        250000
## 7255  63000         63000
## 7256 237000        237000
## 7257 145000        145000
## 7258 130000        130000
## 7259  90000         90000
## 7260 120000        120000
## 7261 100000        100000
## 7262 174500        174500
## 7263 113000        113000
## 7264 183310        183310
## 7265 183310        183310
## 7266 145000        145000
## 7267 102500        102500
## 7268 210000        210000
## 7269 185000        185000
## 7270 174500        174500
## 7271 113000        113000
## 7272 122000        122000
## 7273  94000         94000
## 7274 220000        220000
## 7275 146000        146000
## 7276 300000        300000
## 7277 130000        130000
## 7278 145000        145000
## 7279 128000        128000
## 7280 182000        182000
## 7281 140000        140000
## 7282 122000        122000
## 7283  94000         94000
## 7284  72000         77737
## 7285  36000         38868
## 7286 300000        300000
## 7287 200000        200000
## 7288 135000        135000
## 7289 105500        105500
## 7290 252000        252000
## 7291 129000        129000
## 7292 110000        110000
## 7293 136000        136000
## 7294 104000        104000
## 7295 168000        168000
## 7296 130000        130000
## 7297  65000         79976
## 7298  36050         44356
## 7299 120000        120000
## 7300  95000         95000
## 7301 153400        153400
## 7302 122700        122700
## 7303 185000        185000
## 7304 160000        160000
## 7305 205000        205000
## 7306 185000        185000
## 7307 204500        204500
## 7308 142200        142200
## 7309 145000        145000
## 7310  87000         87000
## 7311  50000         50000
## 7312 234100        234100
## 7313 203500        203500
## 7314 223800        223800
## 7315 172100        172100
## 7316 180000        180000
## 7317 150000        150000
## 7318 232200        232200
## 7319 167200        167200
## 7320 197000        197000
## 7321 106000        106000
## 7322 180000        180000
## 7323 145000        145000
## 7324 225000        225000
## 7325 200000        200000
## 7326 170000        170000
## 7327 114000        114000
## 7328 291500        291500
## 7329 180000        180000
## 7330 196200        196200
## 7331 150900        150900
## 7332 168400        168400
## 7333 105200        105200
## 7334  95000         95000
## 7335  80000         80000
## 7336 116000        116000
## 7337  72000         72000
## 7338 207000        207000
## 7339 167000        167000
## 7340 145000        145000
## 7341 135000        135000
## 7342 105000        105000
## 7343  70000         70000
## 7344 180000        180000
## 7345 115000        115000
## 7346 133800        133800
## 7347  96100         96100
## 7348 120000        120000
## 7349  80000         80000
## 7350 140000        140000
## 7351 100000        100000
## 7352 150000        150000
## 7353 120000        120000
## 7354 140000        140000
## 7355 115000        115000
## 7356 297300        297300
## 7357 198200        198200
## 7358 297300        297300
## 7359 198200        198200
## 7360 202000        202000
## 7361 135000        135000
## 7362 110000        110000
## 7363  84000         84000
## 7364 219000        219000
## 7365 230000        230000
## 7366 196000        196000
## 7367 140000        140000
## 7368 110000        110000
## 7369 150000        150000
## 7370 100000        100000
## 7371 160000        160000
## 7372 110000        110000
## 7373 185900        185900
## 7374 129300        129300
## 7375 126100        126100
## 7376  72000         72000
## 7377 170000        170000
## 7378 150000        150000
## 7379 175000        175000
## 7380 140000        140000
## 7381 240500        240500
## 7382 137500        137500
## 7383 187500        187500
## 7384 165000        165000
## 7385  60000         73824
## 7386  24000         25216
## 7387 210000        210000
## 7388 165750        165750
## 7389 225000        225000
## 7390 165750        165750
## 7391  89700        110367
## 7392  55250         67979
## 7393 135000        135000
## 7394 115000        115000
## 7395 275000        275000
## 7396 175000        175000
## 7397 170000        170000
## 7398 140000        140000
## 7399 175308        175308
## 7400 100706        100706
## 7401 235000        235000
## 7402 135000        135000
## 7403 310000        310000
## 7404 229000        229000
## 7405 289076        289076
## 7406 202353        202353
## 7407  65000         70179
## 7408  35000         37788
## 7409 120000        120000
## 7410 100000        100000
## 7411 226700        226700
## 7412 133300        133300
## 7413 125000        125000
## 7414  85000         85000
## 7415 130000        130000
## 7416  80000         80000
## 7417 120000        120000
## 7418 100000        100000
## 7419 231250        231250
## 7420 138750        138750
## 7421 199000        199000
## 7422 162000        162000
## 7423 160000        160000
## 7424 135000        135000
## 7425 100000        100000
## 7426 200000        200000
## 7427 150000        150000
## 7428 160000        160000
## 7429 120000        120000
## 7430 250000        250000
## 7431 200000        200000
## 7432 150000        150000
## 7433 120000        120000
## 7434 150000        150000
## 7435 100000        100000
## 7436 133000        133000
## 7437 272550        272550
## 7438 198200        198200
## 7439 182000        182000
## 7440 140000        140000
## 7441 200000        200000
## 7442 160000        160000
## 7443 204500        204500
## 7444 142200        142200
## 7445 120000        120000
## 7446 105000        105000
## 7447 187500        187500
## 7448 175000        175000
## 7449 204500        204500
## 7450 142200        142200
## 7451 155000        155000
## 7452  64000         64000
## 7453 235000        235000
## 7454 185000        185000
## 7455 174500        174500
## 7456 113000        113000
## 7457 143100        143100
## 7458 113000        113000
## 7459 184000        184000
## 7460 142000        142000
## 7461 140000        140000
## 7462 120000        120000
## 7463 174500        174500
## 7464 113000        113000
## 7465 180560        180560
## 7466 115440        115440
## 7467 140000        140000
## 7468 120000        120000
## 7469 248100        248100
## 7470 145900        145900
## 7471 120000        120000
## 7472 110000        110000
## 7473 291500        291500
## 7474 180000        180000
## 7475  62000         76284
## 7476  52000         63980
## 7477 161800        161800
## 7478 141600        141600
## 7479  48000         59059
## 7480  38000         46755
## 7481 166000        166000
## 7482 128000        128000
## 7483 170000        170000
## 7484 110000        110000
## 7485 160000        160000
## 7486  75000         75000
## 7487 236000        236000
## 7488 182000        182000
## 7489 130000        130000
## 7490 150000        150000
## 7491 100000        100000
## 7492 261500        261500
## 7493 134500        134500
## 7494 130000        130000
## 7495  90000         90000
## 7496 160000        160000
## 7497 135000        135000
## 7498 125000        125000
## 7499 175000        175000
## 7500 155000        155000
## 7501 153600        153600
## 7502 106800        106800
## 7503 150000        150000
## 7504 140000        140000
## 7505 122000        122000
## 7506  94500         94500
## 7507 170000        170000
## 7508 130000        130000
## 7509 145000        145000
## 7510 128000        128000
## 7511 145000        145000
## 7512 100000        100000
## 7513 175000        175000
## 7514 120000        120000
## 7515 145000        145000
## 7516 115000        115000
## 7517 150000        150000
## 7518 150000        150000
## 7519 100000        100000
## 7520 150000        150000
## 7521 127500        127500
## 7522 126500        126500
## 7523  51000         51000
## 7524 260000        260000
## 7525 175000        175000
## 7526  40000         40000
## 7527  40000         40000
## 7528 250000        250000
## 7529  63000         63000
## 7530 210000        210000
## 7531 160000        160000
## 7532 272550        272550
## 7533 198200        198200
## 7534  90000         94560
## 7535  50000         52533
## 7536 220000        220000
## 7537 146000        146000
## 7538 150000        150000
## 7539 100000        100000
## 7540 248400        248400
## 7541 183600        183600
## 7542 150000        150000
## 7543 150000        150000
## 7544  40000         40000
## 7545 120000        120000
## 7546  95000         95000
## 7547 160000        160000
## 7548 135000        135000
## 7549  23000         24165
## 7550 216000        216000
## 7551 144000        144000
## 7552  85000         85000
## 7553  65000         65000
## 7554 149000        149000
## 7555 119000        119000
## 7556 140000        140000
## 7557 120000        120000
## 7558 150000        150000
## 7559 110000        110000
## 7560 246000        246000
## 7561 201000        201000
## 7562 190000        190000
## 7563 155000        155000
## 7564 235000        235000
## 7565 185000        185000
## 7566 190000        190000
## 7567 160000        160000
## 7568 100000        100000
## 7569 130000        130000
## 7570 115000        115000
## 7571  75000         92350
## 7572  55000         67723
## 7573 105000        105000
## 7574  70000         70000
## 7575 204500        204500
## 7576 142200        142200
## 7577 192000        192000
## 7578 164000        164000
## 7579 185900        185900
## 7580 129300        129300
## 7581 130000        130000
## 7582  75000         75000
## 7583 175000        175000
## 7584 120000        120000
## 7585 167500        167500
## 7586 106500        106500
## 7587  75000         75000
## 7588  60000         60000
## 7589 184000        184000
## 7590 142000        142000
## 7591 145000        145000
## 7592 100000        100000
## 7593 198000         44365
## 7594 175000        175000
## 7595 120000        120000
## 7596 175000        175000
## 7597 120000        120000
## 7598 200000        200000
## 7599 145000        145000
## 7600  75000         92350
## 7601  60000         73880
## 7602 145000        145000
## 7603 100000        100000
## 7604 192000        192000
## 7605 164000        164000
## 7606 310000        310000
## 7607 239000        239000
## 7608 120000        120000
## 7609  95000         95000
## 7610 145000        145000
## 7611 135000        135000
## 7612 100000        100000
## 7613  78000         78000
## 7614  70000         73546
## 7615  35000         36773
## 7616 160000        160000
## 7617 120000        120000
## 7618 190000        190000
## 7619 150000        150000
## 7620 125000        125000
## 7621 120000        120000
## 7622  95000         95000
## 7623 150000        150000
## 7624 100000        100000
## 7625  45000         47280
## 7626  36000         37824
## 7627 115934        115934
## 7628  81666         81666
## 7629 175000        175000
## 7630 140000        140000
## 7631 120000        120000
## 7632  95000         95000
## 7633 249500        249500
## 7634 149850        149850
## 7635 122500        122500
## 7636 100000        100000
## 7637 249500        249500
## 7638 149850        149850
## 7639  55000         55000
## 7640  48000         48000
## 7641 249500        249500
## 7642 149850        149850
## 7643  56000         58837
## 7644 190000        190000
## 7645 120000        120000
## 7646 127000        127000
## 7647 104000        104000
## 7648 210000        210000
## 7649 150000        150000
## 7650 210000        210000
## 7651 150000        150000
## 7652 210000        210000
## 7653 130000        130000
## 7654 182750        182750
## 7655 161500        161500
## 7656 102640        102640
## 7657  66100         66100
## 7658 210000        210000
## 7659 150000        150000
## 7660 198800        198800
## 7661 122600        122600
## 7662 130000        130000
## 7663  80000         80000
## 7664 136000        136000
## 7665 104000        104000
## 7666 150000        150000
## 7667 100000        100000
## 7668 160000        160000
## 7669 135000        135000
## 7670 216000        216000
## 7671 144000        144000
## 7672 159000        159000
## 7673 130000        130000
## 7674 115934        115934
## 7675  81666         81666
## 7676 215000        215000
## 7677 150000        150000
## 7678 246000        246000
## 7679 201000        201000
## 7680 187000        187000
## 7681 153000        153000
## 7682 255000        255000
## 7683 185000        185000
## 7684 350000        430967
## 7685  45000         55410
## 7686  48000         50432
## 7687  38000         39925
## 7688 169000        169000
## 7689 110600        110600
## 7690  58000         60938
## 7691 140000        140000
## 7692 120000        120000
## 7693  75000         75000
## 7694  60000         60000
## 7695  50000         50000
## 7696 134000        134000
## 7697 124000        124000
## 7698 166700        166700
## 7699 119000        119000
## 7700 124234        124234
## 7701  74540         74540
## 7702 100000        100000
## 7703  65000         65000
## 7704 200000        200000
## 7705 220000        220000
## 7706 146000        146000
## 7707  65000         68293
## 7708  35000         36773
## 7709 110000        110000
## 7710  70000         70000
## 7711  50000         50000
## 7712 120000        120000
## 7713  95000         95000
## 7714 150000        150000
## 7715 100000        100000
## 7716  45000         47280
## 7717  36000         37824
## 7718 190000        190000
## 7719 135000        135000
## 7720 128000        128000
## 7721  81500         81500
## 7722 173000        173000
## 7723 110000        110000
## 7724 192000        192000
## 7725 120000        120000
## 7726 115934        115934
## 7727  81666         81666
## 7728 120000        120000
## 7729  95000         95000
## 7730 190000        190000
## 7731 194000        194000
## 7732 129400        129400
## 7733 201000        201000
## 7734  89200         89200
## 7735 165000        165000
## 7736 125000        125000
## 7737 230000        230000
## 7738 196000        196000
## 7739 130000        130000
## 7740  90000         90000
## 7741 150000        150000
## 7742 100000        100000
## 7743 230000        230000
## 7744 150000        150000
## 7745 153600        153600
## 7746 106800        106800
## 7747 130000        130000
## 7748 100000        100000
## 7749 216000        216000
## 7750 144000        144000
## 7751 180000        180000
## 7752 120000        120000
## 7753 160000        160000
## 7754 135000        135000
## 7755 192500        192500
## 7756 140000        140000
## 7757 152500        152500
## 7758 130000        130000
## 7759  65000         65000
## 7760  55000         55000
## 7761 178750        178750
## 7762 160000        160000
## 7763  60000         63040
## 7764  50000         52533
## 7765 165000        165000
## 7766 135000        135000
## 7767 170000        170000
## 7768 125000        125000
## 7769 105000        105000
## 7770  70000         70000
## 7771 130000        130000
## 7772  95000         95000
## 7773 203500        203500
## 7774 152000        152000
## 7775 197430        197430
## 7776 134760        134760
## 7777 120000        120000
## 7778 197000        197000
## 7779  99000         99000
## 7780 220000        220000
## 7781 162000        162000
## 7782 105120        110446
## 7783  75360         79178
## 7784  57000         70186
## 7785  42000         51716
## 7786 149040        149040
## 7787 113900        113900
## 7788  95000         95000
## 7789 115000        115000
## 7790 171000        171000
## 7791 100000        100000
## 7792  78000         78000
## 7793 120000        120000
## 7794  95000         95000
## 7795 110000        110000
## 7796  70000         70000
## 7797  50000         50000
## 7798 185900        185900
## 7799 129300        129300
## 7800 150000        150000
## 7801 100000        100000
## 7802 230000        230000
## 7803 154600        154600
## 7804 204500        204500
## 7805 142200        142200
## 7806 160000        160000
## 7807  75000         75000
## 7808  45000         47280
## 7809  36000         37824
## 7810 213000        213000
## 7811 152000        152000
## 7812 140000        140000
## 7813 120000        120000
## 7814 110000        110000
## 7815  70000         70000
## 7816 227200        227200
## 7817 168000        168000
## 7818  61000         64090
## 7819  58000         60938
## 7820 243000        243000
## 7821 183000        183000
## 7822 175000        175000
## 7823 150000        150000
## 7824 130000        130000
## 7825  90000         90000
## 7826 165000        165000
## 7827 124000        124000
## 7828 178000        178000
## 7829 132000        132000
## 7830 300000        300000
## 7831 130000        130000
## 7832 169000        169000
## 7833 110600        110600
## 7834 116000        116000
## 7835  96000         96000
## 7836  75000         92350
## 7837  57000         70186
## 7838 105000        105000
## 7839  70000         70000
## 7840 137000        105236
## 7841 194000        194000
## 7842 129400        129400
## 7843 190000        190000
## 7844 135000        135000
## 7845 100000        100000
## 7846  70000         70000
## 7847 189750        189750
## 7848 140250        140250
## 7849 130000        130000
## 7850 100000        100000
## 7851 160000        160000
## 7852 109000        109000
## 7853 250000        250000
## 7854 150000        150000
## 7855 206000        206000
## 7856 160000        160000
## 7857 135000        135000
## 7858 120000        120000
## 7859 110000        115573
## 7860  70000         73546
## 7861 160000        160000
## 7862 135000        135000
## 7863 150000        150000
## 7864 100000        100000
## 7865 120000        120000
## 7866  95000         95000
## 7867  65000         68293
## 7868  40000         42026
## 7869 191200        191200
## 7870 130000        130000
## 7871 191200        191200
## 7872 130000        130000
## 7873  63000         66192
## 7874 230000        230000
## 7875 154600        154600
## 7876 120000        120000
## 7877  95000         95000
## 7878 140000        140000
## 7879 120000        120000
## 7880 169000        169000
## 7881 110600        110600
## 7882  80000         80000
## 7883 185900        185900
## 7884 129300        129300
## 7885 135000        135000
## 7886 110000        110000
## 7887 155000        155000
## 7888 140000        140000
## 7889 205000        205000
## 7890 150000        150000
## 7891 179500        179500
## 7892 134000        134000
## 7893 180000        180000
## 7894 120000        120000
## 7895 185900        185900
## 7896 129300        129300
## 7897 175000        175000
## 7898 145000        145000
## 7899 235000        235000
## 7900 175000        175000
## 7901  26000         27317
## 7902 160000        160000
## 7903  90000         90000
## 7904  65000         68293
## 7905  35000         36773
## 7906 145000        145000
## 7907 115000        115000
## 7908 165000        165000
## 7909 135000        135000
## 7910 168400        168400
## 7911 105200        105200
## 7912  70000         86193
## 7913  40000         49253
## 7914 200000        200000
## 7915 160000        160000
## 7916  45000         47280
## 7917  36000         37824
## 7918 198800        198800
## 7919 122600        122600
## 7920 100000        100000
## 7921 100000        105066
## 7922 130000        130000
## 7923 100000        100000
## 7924  85000        104663
## 7925  60000         73880
## 7926 125000        125000
## 7927 110000        110000
## 7928 165000        165000
## 7929 124000        124000
## 7930 148000        148000
## 7931 107000        107000
## 7932 150000        150000
## 7933 100000        100000
## 7934 160000        160000
## 7935 135000        135000
## 7936 120000        120000
## 7937  95000         95000
## 7938 153600        153600
## 7939 106800        106800
## 7940 100000        100000
## 7941  65000         65000
## 7942 120000        120000
## 7943  95000         95000
## 7944  60000         63040
## 7945  35000         36773
## 7946 310000        310000
## 7947 239000        239000
## 7948 299500        299500
## 7949 245100        245100
## 7950 168000        168000
## 7951 130000        130000
## 7952 136000        136000
## 7953 104000        104000
## 7954 161000        161000
## 7955 118000        118000
## 7956 205000        205000
## 7957 184000        184000
## 7958 185900        185900
## 7959 129300        129300
## 7960 247500        247500
## 7961 172200        172200
## 7962  65000         68293
## 7963 177000        177000
## 7964 131000        131000
## 7965 205000        205000
## 7966 184000        184000
## 7967 146000        146000
## 7968 102000        102000
## 7969 169000        169000
## 7970 110600        110600
## 7971 230000        230000
## 7972 196000        196000
## 7973 135000        135000
## 7974 100000        100000
## 7975  80000         80000
## 7976  65000         65000
## 7977 135000        135000
## 7978 100000        100000
## 7979  50000         61566
## 7980  35000         43096
## 7981 175000        175000
## 7982 135000        135000
## 7983  80000         80000
## 7984 231250        231250
## 7985 138750        138750
## 7986 193750        193750
## 7987 116250        116250
## 7988 231250        231250
## 7989 138750        138750
## 7990 231250        231250
## 7991 138750        138750
## 7992 231250        231250
## 7993 138750        138750
## 7994 193750        193750
## 7995 116250        116250
## 7996 208000        208000
## 7997 127000        127000
## 7998 300000        300000
## 7999 196000        196000
## 8000 204500        204500
## 8001 142200        142200
## 8002  45555         45555
## 8003 185900        185900
## 8004 129300        129300
## 8005  45000         47280
## 8006  36000         37824
## 8007 204500        204500
## 8008 142200        142200
## 8009 205000        205000
## 8010 185000        185000
## 8011 185900        185900
## 8012 129300        129300
## 8013 247500        247500
## 8014 172200        172200
## 8015 160000        160000
## 8016 135000        135000
## 8017 150000        150000
## 8018 100000        100000
## 8019 110000        110000
## 8020  95000         95000
## 8021 185900        185900
## 8022 129300        129300
## 8023 205000        205000
## 8024 184000        184000
## 8025 375000        375000
## 8026 191200        191200
## 8027 130000        130000
## 8028 225000        225000
## 8029 156400        156400
## 8030 169000        169000
## 8031 110600        110600
## 8032 204500        204500
## 8033 142200        142200
## 8034  85000        104663
## 8035  65000         80036
## 8036 185900        185900
## 8037 129300        129300
## 8038 140700        140700
## 8039  93800         93800
## 8040 350000        350000
## 8041 135000        135000
## 8042 115934        115934
## 8043  81666         81666
## 8044 100000        104697
## 8045  33000         33000
## 8046  33000         34672
## 8047 201000        201000
## 8048 119000        119000
## 8049 175000        175000
## 8050 150000        150000
## 8051 154560        154560
## 8052 123648        123648
## 8053 130000        130000
## 8054 100000        100000
## 8055 170000        170000
## 8056 145000        145000
## 8057 135000        135000
## 8058 100000        100000
## 8059 247500        247500
## 8060 172200        172200
## 8061 177500        177500
## 8062 134000        134000
## 8063 185900        185900
## 8064 129300        129300
## 8065 192564        192564
## 8066 144854        144854
## 8067 130000        130000
## 8068 105000        105000
## 8069 179305        179305
## 8070 142127        142127
## 8071 315000        315000
## 8072 225000        225000
## 8073 243900        243900
## 8074 156600        156600
## 8075 206000        206000
## 8076 160000        160000
## 8077 109000        109000
## 8078  79000         79000
## 8079 160000        160000
## 8080 109000        109000
## 8081  85000         89306
## 8082 182500        182500
## 8083 128500        128500
## 8084 160000        160000
## 8085  90000         90000
## 8086  77300         77300
## 8087  45600         45600
## 8088 127000        127000
## 8089 110000        110000
## 8090 210000        210000
## 8091 136000        136000
## 8092 170000        170000
## 8093 140000        140000
## 8094 247500        247500
## 8095 172200        172200
## 8096 225000        225000
## 8097 184100        184100
## 8098 130000        130000
## 8099  90000         90000
## 8100 120000        120000
## 8101 100000        100000
## 8102  85000         85000
## 8103  78000         78000
## 8104 161000        161000
## 8105 110000        110000
## 8106 136000        136000
## 8107 104000        104000
## 8108  45000         47280
## 8109  36000         37824
## 8110 205000        205000
## 8111 160000        160000
## 8112 169000        169000
## 8113 110600        110600
## 8114  50000         61566
## 8115  40000         49253
## 8116 160000        160000
## 8117 130000        130000
## 8118 245000        245000
## 8119 180000        180000
## 8120 135000        135000
## 8121 100000        100000
## 8122 220000        220000
## 8123 150000        150000
## 8124 198440        198440
## 8125 144000        144000
## 8126 240000        240000
## 8127 170000        170000
## 8128 198440        198440
## 8129 144000        144000
## 8130 150000        150000
## 8131 100000        100000
## 8132 120000        120000
## 8133  95000         95000
## 8134  47000         57872
## 8135  64000         64000
## 8136  38000         39925
## 8137 187200        187200
## 8138 116100        116100
## 8139 150000        150000
## 8140 127000        127000
## 8141 275000        275000
## 8142 166000        166000
## 8143 159699        159699
## 8144 138938        138938
## 8145  76000         76000
## 8146 166700        166700
## 8147 119000        119000
## 8148 130000        130000
## 8149 100000        100000
## 8150  84000        103432
## 8151  75000         92350
## 8152  80000         80000
## 8153  52500         52500
## 8154 236000        236000
## 8155 182000        182000
## 8156 180000        180000
## 8157 140000        140000
## 8158 225000        225000
## 8159 156400        156400
## 8160 135000        135000
## 8161 100000        100000
## 8162 204500        204500
## 8163 142200        142200
## 8164 240000        240000
## 8165 125404        125404
## 8166 300000        300000
## 8167 130000        130000
## 8168 195000        195000
## 8169 175000        175000
## 8170 155000        155000
## 8171 110000        110000
## 8172 123000        123000
## 8173  92250         92250
## 8174 170000        170000
## 8175 150000        150000
## 8176 180000        180000
## 8177 100000        100000
## 8178  97000         97000
## 8179  90000         90000
## 8180 200000        200000
## 8181 160000        160000
## 8182 210000        210000
## 8183 180000        180000
## 8184 260000        260000
## 8185 180000        180000
## 8186 210000        210000
## 8187 157000        157000
## 8188 180000        180000
## 8189 100000        100000
## 8190  80000         80000
## 8191  52500         52500
## 8192 128000        128000
## 8193  81500         81500
## 8194 105000        105000
## 8195  70000         70000
## 8196 175000        175000
## 8197 122500        122500
## 8198 171000        171000
## 8199 117000        117000
## 8200 202800        202800
## 8201 104300        104300
## 8202  48000         50432
## 8203  35000         36773
## 8204 197000        197000
## 8205  99000         99000
## 8206 160000        160000
## 8207 110000        110000
## 8208 185900        185900
## 8209 129300        129300
## 8210  30000         30000
## 8211  78000         78000
## 8212  48000         48000
## 8213 170000        170000
## 8214 130000        130000
## 8215 150000        150000
## 8216  95000         95000
## 8217  78000         78000
## 8218  42000         42000
## 8219 345600        345600
## 8220 230400        230400
## 8221 145000        145000
## 8222 115000        115000
## 8223  78000         78000
## 8224  48000         48000
## 8225 175950        175950
## 8226 130050        130050
## 8227 205600        205600
## 8228 105700        105700
## 8229 236600        236600
## 8230  89200         89200
## 8231  84000         84000
## 8232  54000         54000
## 8233  80000         80000
## 8234 200000        200000
## 8235  96000         73742
## 8236 165000        165000
## 8237  27000         33246
## 8238 185900        185900
## 8239 129300        129300
## 8240 169000        169000
## 8241 110600        110600
## 8242 100000         75050
## 8243 225000        225000
## 8244 184100        184100
## 8245 185900        185900
## 8246 129300        129300
## 8247 225000        225000
## 8248 156400        156400
## 8249 185900        185900
## 8250 129300        129300
## 8251 108000        108000
## 8252 155000        155000
## 8253  38000         38000
## 8254  85000         85000
## 8255  65000         65000
## 8256 155000        155000
## 8257  38000         38000
## 8258  90000        110820
## 8259  75000         92350
## 8260 153600        153600
## 8261 106800        106800
## 8262 185000        185000
## 8263  50000         50000
## 8264 185900        185900
## 8265 129300        129300
## 8266 155000        155000
## 8267  38000         38000
## 8268 168000        168000
## 8269 130000        130000
## 8270 123400        123400
## 8271  88100         88100
## 8272 120000        120000
## 8273  55000         55000
## 8274 185900        185900
## 8275 129300        129300
## 8276 191200        191200
## 8277 130000        130000
## 8278 169000        169000
## 8279 110600        110600
## 8280 150000        150000
## 8281 120000        120000
## 8282 139000        139000
## 8283 122000        122000
## 8284 185900        185900
## 8285 129300        129300
## 8286 139600        139600
## 8287  85700         85700
## 8288 185000        185000
## 8289  50000         50000
## 8290 185900        185900
## 8291 129300        129300
## 8292 225000        225000
## 8293 156400        156400
## 8294 200000        200000
## 8295 175000        175000
## 8296 185900        185900
## 8297 129300        129300
## 8298 148500        148500
## 8299  98200         98200
## 8300 115000        115000
## 8301  95000         95000
## 8302 225000        225000
## 8303  66000         66000
## 8304 185000        185000
## 8305  50000         50000
## 8306  45000         47280
## 8307  36000         37824
## 8308 134000        134000
## 8309  98000         98000
## 8310 105000        105000
## 8311  62000         62000
## 8312  57000         57000
## 8313 210000        161311
## 8314 144200        144200
## 8315 115360        115360
## 8316 120000         83171
## 8317  70000         73546
## 8318  40000         42026
## 8319 170000        170000
## 8320 150000        150000
## 8321 180000        180000
## 8322 160000        160000
## 8323 108000        108000
## 8324 200000        200000
## 8325 150000        150000
## 8326 164000        125976
## 8327 188700        188700
## 8328 160395        160395
## 8329 115934        115934
## 8330  81666         81666
## 8331 300000        300000
## 8332 225000        225000
## 8333 198440        198440
## 8334 144000        144000
## 8335 191475        191475
## 8336 141525        141525
## 8337  48000         50432
## 8338  35000         36773
## 8339  72000         75648
## 8340 156868        156868
## 8341 200000        200000
## 8342 198440        198440
## 8343 144000        144000
## 8344  66000         69344
## 8345  90000         90000
## 8346 120000        126080
## 8347  80000         84053
## 8348 200000        200000
## 8349 180000        180000
## 8350 108000        108000
## 8351  85000         85000
## 8352 210000        210000
## 8353 180000        180000
## 8354 165000        165000
## 8355 132000        132000
## 8356 130000        130000
## 8357 110000        110000
## 8358  65000         45050
## 8359  56000         42028
## 8360 135000        135000
## 8361 178800        178800
## 8362 132100        132100
## 8363  20000         20000
## 8364 140000        140000
## 8365 110000        110000
## 8366 160000        160000
## 8367  85000         85000
## 8368 250000        250000
## 8369  63000         63000
## 8370 187200        187200
## 8371 116100        116100
## 8372 200000        200000
## 8373 145000        145000
## 8374 229998        229998
## 8375 154545        154545
## 8376 215000        215000
## 8377 159000        159000
## 8378 229998        229998
## 8379 154545        154545
## 8380  50000         50000
## 8381 183000        183000
## 8382  99750         99750
## 8383  68400         68400
## 8384 236900        236900
## 8385 159200        159200
## 8386 243225        243225
## 8387 179775        179775
## 8388 175000        175000
## 8389 150000        150000
## 8390 210000        210000
## 8391 180000        180000
## 8392 148000        148000
## 8393 128000        128000
## 8394 190000        190000
## 8395 135000        135000
## 8396 130000        130000
## 8397 110000        110000
## 8398 191475        191475
## 8399 141525        141525
## 8400 160000        160000
## 8401  85000         85000
## 8402 218000        218000
## 8403 145300        145300
## 8404 195400        195400
## 8405 131300        131300
## 8406 105000        105000
## 8407 191475        191475
## 8408 141525        141525
## 8409 207000        207000
## 8410 153000        153000
## 8411 191475        191475
## 8412 141525        141525
## 8413 110000        110000
## 8414  99000         99000
## 8415 191475        191475
## 8416 141525        141525
## 8417 191475        191475
## 8418 141525        141525
## 8419 191475        191475
## 8420 141525        141525
## 8421 200000        200000
## 8422 135000        135000
## 8423 207000        207000
## 8424 153000        153000
## 8425 191475        191475
## 8426 141525        141525
## 8427 191475        191475
## 8428 141525        141525
## 8429 191475        191475
## 8430 141525        141525
## 8431 195700        195700
## 8432 130500        130500
## 8433 130000        130000
## 8434  84000         84000
## 8435 100000        100000
## 8436  60000         60000
## 8437  65000         80036
## 8438  55000         67723
## 8439 141300        141300
## 8440 102100        102100
## 8441  48000         50432
## 8442  35000         36773
## 8443 150000        150000
## 8444  83000        102200
## 8445 144000        144000
## 8446 113000        113000
## 8447  30000         31520
## 8448 195400        195400
## 8449 131300        131300
## 8450 195400        195400
## 8451 131300        131300
## 8452 195400        195400
## 8453 131300        131300
## 8454 190000        190000
## 8455 135000        135000
## 8456 135000        135000
## 8457  80000         80000
## 8458 160000        160000
## 8459  85000         85000
## 8460 178800        178800
## 8461 132100        132100
## 8462  60000         60000
## 8463  60000         63040
## 8464  50000         50000
## 8465 140000        140000
## 8466 105000        105000
## 8467  65000         80036
## 8468  55000         67723
## 8469 190000        190000
## 8470 140000        140000
## 8471 100000        100000
## 8472  60000         60000
## 8473 180000        180000
## 8474 165000        165000
## 8475 108000        108000
## 8476  20000         20000
## 8477 190000        190000
## 8478 135000        135000
## 8479 179400        179400
## 8480 154000        154000
## 8481 193900        193900
## 8482 129300        129300
## 8483 222640        222640
## 8484 182160        182160
## 8485 150000        150000
## 8486 100000        100000
## 8487 122500        122500
## 8488 100000        100000
## 8489 297500        297500
## 8490 260000        260000
## 8491  15000         15000
## 8492 193000        193000
## 8493  93000         93000
## 8494  73000         73000
## 8495 100000        100000
## 8496  60000         60000
## 8497 136994        136994
## 8498 101570        101570
## 8499 250000        250000
## 8500  63000         63000
## 8501 134000        134000
## 8502  98000         98000
## 8503 191475        191475
## 8504 141525        141525
## 8505  55000         57786
## 8506 136000        136000
## 8507 112000        112000
## 8508 172000        172000
## 8509 140000        140000
## 8510 215000        215000
## 8511 164000        164000
## 8512 300000        300000
## 8513 130000        130000
## 8514 250000        250000
## 8515  63000         63000
## 8516 180000        180000
## 8517 150000        150000
## 8518  33000         45390
## 8519 250000        250000
## 8520  63000         63000
## 8521 191475        191475
## 8522 141525        141525
## 8523  97500         97500
## 8524 212800        212800
## 8525 142800        142800
## 8526  70000         73546
## 8527  50000         50000
## 8528 151800        151800
## 8529 130240        130240
## 8530 165000        165000
## 8531 140250        140250
## 8532 135000        135000
## 8533 115000        115000
## 8534 179400        179400
## 8535 154000        154000
## 8536 191475        191475
## 8537 141525        141525
## 8538 191475        191475
## 8539 141525        141525
## 8540 191475        191475
## 8541 141525        141525
## 8542  75000         75000
## 8543  80000         84053
## 8544  70000         73546
## 8545  80000         98506
## 8546  70000         86193
## 8547  80000         84053
## 8548  70000         73546
## 8549 191475        191475
## 8550 141525        141525
## 8551 191475        191475
## 8552 141525        141525
## 8553  83376        102663
## 8554  65004         80041
## 8555 191475        191475
## 8556 141525        141525
## 8557  84958        104611
## 8558  66822         82280
## 8559 191475        191475
## 8560 141525        141525
## 8561 191475        191475
## 8562 141525        141525
## 8563 115000        115000
## 8564  30000         31520
## 8565  81000         81000
## 8566  66000         66000
## 8567  46000         46000
## 8568  80000         80000
## 8569 200000        200000
## 8570 180000        180000
## 8571 200000        200000
## 8572 204100        204100
## 8573 136100        136100
## 8574 250000        250000
## 8575  63000         63000
## 8576  96000        118208
## 8577  90000        110820
## 8578 120000         19073
## 8579 191475        191475
## 8580 141525        141525
## 8581 191475        191475
## 8582 141525        141525
## 8583 191475        191475
## 8584 141525        141525
## 8585  95000         95000
## 8586  70000         70000
## 8587  75000         75000
## 8588 113000        113000
## 8589 170000        170000
## 8590 130000        130000
## 8591 113000        113000
## 8592 140000        140000
## 8593  50000         50000
## 8594  77000         53368
## 8595 175000        175000
## 8596 140000        140000
## 8597  28500         29944
## 8598 250000        250000
## 8599  63000         63000
## 8600 160000        160000
## 8601 119300        119300
## 8602 145000        145000
## 8603 105000        105000
## 8604  90000         90000
## 8605 146200        146200
## 8606 124270        124270
## 8607 225000        225000
## 8608 160000        160000
## 8609  52000         54634
## 8610 185800        185800
## 8611 137400        137400
## 8612 245000        245000
## 8613 180000        180000
## 8614 203500        203500
## 8615 152000        152000
## 8616 250000        250000
## 8617  63000         63000
## 8618 186000        186000
## 8619 148800        148800
## 8620 104000        128058
## 8621  82000         82000
## 8622 110000        110000
## 8623 173000        173000
## 8624 203500        203500
## 8625 152000        152000
## 8626 186000        186000
## 8627 148800        148800
## 8628 158000        158000
## 8629 134000        134000
## 8630 170000        170000
## 8631 120000        120000
## 8632 200000        200000
## 8633 150000        150000
## 8634 216200        216200
## 8635 144100        144100
## 8636 110000        115573
## 8637  85000         89306
## 8638 250000        250000
## 8639  63000         63000
## 8640 135000        135000
## 8641  85000         85000
## 8642 135000        135000
## 8643  85000         85000
## 8644 206000        206000
## 8645 175100        175100
## 8646 189650        189650
## 8647 164996        164996
## 8648 149040        149040
## 8649 113900        113900
## 8650 154000        154000
## 8651 126000        126000
## 8652 200000        200000
## 8653 150000        150000
## 8654 195700        195700
## 8655 130500        130500
## 8656 170000        170000
## 8657 135000        135000
## 8658  80000         98506
## 8659  60000         73880
## 8660 117000        117000
## 8661  99450         99450
## 8662 200000        200000
## 8663 135000        135000
## 8664 193900        193900
## 8665 129300        129300
## 8666  45000         55410
## 8667  70000         86193
## 8668  50000         61566
## 8669 175000        175000
## 8670 130000        130000
## 8671 188100        188100
## 8672 139860        139860
## 8673 248700        248700
## 8674 167100        167100
## 8675 123400        123400
## 8676  88100         88100
## 8677  48000         50432
## 8678 245000        245000
## 8679 205000        205000
## 8680 141300        141300
## 8681 102100        102100
## 8682 141300        141300
## 8683 102100        102100
## 8684  50000         50000
## 8685  80000         84053
## 8686  50000         61566
## 8687 250000        250000
## 8688  63000         63000
## 8689 189500        189500
## 8690 140100        140100
## 8691 177600        177600
## 8692 131300        131300
## 8693  24000         24000
## 8694  24000         24000
## 8695 250000        250000
## 8696  63000         63000
## 8697 202900        202900
## 8698 131300        131300
## 8699 145000        145000
## 8700 115000        115000
## 8701 115000        115000
## 8702 193900        193900
## 8703 129300        129300
## 8704 180000        180000
## 8705 140000        140000
## 8706 216200        216200
## 8707 144100        144100
## 8708 216000        216000
## 8709 144000        144000
## 8710 150000        150000
## 8711  50000         50000
## 8712 250000        250000
## 8713  80000         84053
## 8714 107000        131752
## 8715  48000         48000
## 8716 260500        260500
## 8717 175100        175100
## 8718 210000        210000
## 8719 100000        100000
## 8720  55000         55000
## 8721 130000        130000
## 8722  73400         77119
## 8723  49500         52008
## 8724 206699        206699
## 8725  99100         99100
## 8726 200000        200000
## 8727  54000         54000
## 8728 250000        250000
## 8729  63000         63000
## 8730 250000        250000
## 8731  63000         63000
## 8732 250000        250000
## 8733  63000         63000
## 8734 130000        130000
## 8735 100000        100000
## 8736  80000         80000
## 8737 160000        160000
## 8738 100000        100000
## 8739 221300        221300
## 8740 148700        148700
## 8741  30000         30000
## 8742  27000         28368
## 8743  74000         91118
## 8744  50000         61566
## 8745  58000         60938
## 8746 249260        249260
## 8747 185400        185400
## 8748 170000        170000
## 8749 130000        130000
## 8750  65000         80036
## 8751 128875        128875
## 8752  93700         93700
## 8753 180000        180000
## 8754 100000        100000
## 8755 136260        136260
## 8756 109280        109280
## 8757 160000        160000
## 8758  92000         92000
## 8759 200000        200000
## 8760 160000        160000
## 8761 110000        135446
## 8762  85000        104663
## 8763 117000        117000
## 8764  99450         99450
## 8765 129000        129000
## 8766  86000         86000
## 8767 160000        160000
## 8768 119300        119300
## 8769 100000        100000
## 8770  25000         25000
## 8771  90000         65257
## 8772 200000        200000
## 8773 180000        180000
## 8774 153000        153000
## 8775 210000        210000
## 8776 100000        100000
## 8777 150075        150075
## 8778 110925        110925
## 8779  22800         22800
## 8780 160000        160000
## 8781  92000         92000
## 8782 202900        202900
## 8783 131300        131300
## 8784  20000         22809
## 8785  15000         15000
## 8786 175000        175000
## 8787 135000        135000
## 8788 193000        133766
## 8789  83000         83000
## 8790  75000         92350
## 8791  55000         67723
## 8792 186000        186000
## 8793 148800        148800
## 8794 112900        112900
## 8795  90320         90320
## 8796 240000        240000
## 8797 160000        160000
## 8798 300000        300000
## 8799 200000        200000
## 8800  62500         65666
## 8801 200000        200000
## 8802  95000        116976
## 8803  75000         92350
## 8804 120000        120000
## 8805 112900        112900
## 8806  90320         90320
## 8807 145000        145000
## 8808 105400        105400
## 8809  43200         49268
## 8810  90000        110820
## 8811  75000         92350
## 8812 215300        215300
## 8813 158200        158200
## 8814 209100        209100
## 8815 154600        154600
## 8816 115934        115934
## 8817  81666         81666
## 8818 175000        175000
## 8819 155000        155000
## 8820  80000         84053
## 8821 164000        164000
## 8822 132000        132000
## 8823 170000        170000
## 8824 123000        123000
## 8825 189650        189650
## 8826 164996        164996
## 8827  50000         52533
## 8828  50000         52533
## 8829 150000        115222
## 8830 165400        165400
## 8831 132320        132320
## 8832 208775        208775
## 8833 147800        147800
## 8834 136994        136994
## 8835 101570        101570
## 8836 128875        128875
## 8837  93700         93700
## 8838  28500         35093
## 8839 183600        183600
## 8840 100800        100800
## 8841  40000         49253
## 8842  30000         36940
## 8843  40000         42026
## 8844  30000         31520
## 8845  80000         84053
## 8846  70000         73546
## 8847  80000         98506
## 8848  70000         86193
## 8849  80000         84053
## 8850  70000         73546
## 8851 189650        189650
## 8852 164996        164996
## 8853  40000         42026
## 8854  30000         31520
## 8855  75000         92350
## 8856  60000         73880
## 8857 215300        215300
## 8858 140400        140400
## 8859  60000         63040
## 8860  45000         47280
## 8861 260000        260000
## 8862 180000        180000
## 8863  55000         67723
## 8864  35000         43096
## 8865  60000         63040
## 8866  45000         47280
## 8867  60000         73880
## 8868  45000         55410
## 8869  43200         51064
## 8870  60000         60000
## 8871  82900         82900
## 8872  63900         63900
## 8873 160000        160000
## 8874 112300        112300
## 8875 241000        241000
## 8876 159000        159000
## 8877 180000        180000
## 8878  80000         80000
## 8879  58000         58000
## 8880  58000         58000
## 8881 136000        136000
## 8882 108800        108800
## 8883 242000        242000
## 8884 200000        200000
## 8885  50000         61566
## 8886  30000         36940
## 8887  60000         73880
## 8888  40000         49253
## 8889 165220        165220
## 8890 120160        120160
## 8891 124190        124190
## 8892  90320         90320
## 8893 181940        181940
## 8894 132320        132320
## 8895 220110        220110
## 8896 160080        160080
## 8897 180000        180000
## 8898 120000        120000
## 8899 126500        126500
## 8900 106260        106260
## 8901 116000        116000
## 8902  99000         99000
## 8903 155000        155000
## 8904 120600        120600
## 8905 130000        130000
## 8906  90000         90000
## 8907 170000        170000
## 8908 150000        150000
## 8909 102100        102100
## 8910  84900         84900
## 8911 136620        136620
## 8912  99360         99360
## 8913  90000        110820
## 8914  80000         98506
## 8915 146000        146000
## 8916 123000        123000
## 8917  40000         49253
## 8918  35000         43096
## 8919 130000        130000
## 8920 110000        110000
## 8921 170000        170000
## 8922 135000        135000
## 8923 161342        161342
## 8924 137141        137141
## 8925 167000        167000
## 8926 123000        123000
## 8927  60000         73880
## 8928  50000         61566
## 8929 211500        211500
## 8930 138600        138600
## 8931 192400        192400
## 8932  90700         90700
## 8933 130000        130000
## 8934  61300         61300
## 8935 130000        130000
## 8936  61300         61300
## 8937 160000        160000
## 8938 113000        113000
## 8939 150000        150000
## 8940  95550         95550
## 8941 167000        167000
## 8942 115500        115500
## 8943 112900        112900
## 8944  90320         90320
## 8945 112900        112900
## 8946  90320         90320
## 8947 165400        165400
## 8948 132320        132320
## 8949 243900        243900
## 8950 156600        156600
## 8951 136600        136600
## 8952 109280        109280
## 8953 128875        128875
## 8954  93700         93700
## 8955 224000        224000
## 8956 167875        167875
## 8957 175000        175000
## 8958 135000        135000
## 8959 209100        209100
## 8960 154600        154600
## 8961 180000        180000
## 8962 160000        160000
## 8963 205300        205300
## 8964 140400        140400
## 8965 176000        176000
## 8966 144000        144000
## 8967 200100        200100
## 8968 160000        160000
## 8969  70500         70500
## 8970  54000         54000
## 8971 205300        205300
## 8972 140400        140400
## 8973 205300        205300
## 8974 184700        184700
## 8975 175100        175100
## 8976 140250        140250
## 8977 116150        116150
## 8978  99050         99050
## 8979 145000        145000
## 8980 130000        130000
## 8981 112900        112900
## 8982  90320         90320
## 8983  85000         85000
## 8984  75000         75000
## 8985 214000        214000
## 8986 192600        192600
## 8987 266400        266400
## 8988 213120        213120
## 8989 155000        155000
## 8990 115000        115000
## 8991 141300        141300
## 8992 102100        102100
## 8993 115934        115934
## 8994  81666         81666
## 8995 206699        206699
## 8996  99100         99100
## 8997 130000        130000
## 8998 110500        110500
## 8999  50000         61566
## 9000  35000         43096
## 9001  80000         80000
## 9002  60000         60000
## 9003 192564        192564
## 9004 144854        144854
## 9005 230000        230000
## 9006 150000        150000
## 9007 150260        150260
## 9008 109280        109280
## 9009 170000        170000
## 9010 150000        150000
## 9011 160000        160000
## 9012 130000        130000
## 9013  67000         67000
## 9014  52000         52000
## 9015 154000        154000
## 9016 126000        126000
## 9017 129000        129000
## 9018  99000         99000
## 9019 210000        210000
## 9020 140000        140000
## 9021 210000        210000
## 9022 140000        140000
## 9023 210000        210000
## 9024 140000        140000
## 9025 100000        100000
## 9026  69000         69000
## 9027 210000        210000
## 9028 140000        140000
## 9029 150075        150075
## 9030 110925        110925
## 9031 100000        100000
## 9032  25000         25000
## 9033 126500        126500
## 9034 106260        106260
## 9035 220110        220110
## 9036 160080        160080
## 9037 105000        105000
## 9038 100000        100000
## 9039 170000        170000
## 9040 135000        135000
## 9041 230000        230000
## 9042 140000        140000
## 9043 135000        135000
## 9044  50000         50000
## 9045 220000        220000
## 9046 140000        140000
## 9047 140000        172386
## 9048  70000         86193
## 9049 220000        220000
## 9050 120000        120000
## 9051 200000        200000
## 9052 120000        120000
## 9053 120000        120000
## 9054  65000         65000
## 9055 324000        324000
## 9056 216000        216000
## 9057 210000        210000
## 9058 100000        100000
## 9059 185100        185100
## 9060 104890        104890
## 9061 105000        105000
## 9062  80000         80000
## 9063 100000         76814
## 9064 157000        117104
## 9065 250000        192037
## 9066 120000        120000
## 9067  53000         55685
## 9068  50000         52533
## 9069  75000         75000
## 9070 157000        157000
## 9071  90000         69133
## 9072  65000         65000
## 9073  65000         68293
## 9074 109000        109000
## 9075  88000         67597
## 9076  20000         20000
## 9077  87000        102839
## 9078 200000        200000
## 9079  66500         51081
## 9080  78000         78000
## 9081 135000        135000
## 9082 115000        115000
## 9083 121000         83864
## 9084  40000         40000
## 9085  30000         31520
## 9086  57000         59888
## 9087  48000         54742
## 9088  85000         89306
## 9089 120000         83171
## 9090 165000        165000
## 9091 153000        153000
## 9092 100000        100000
## 9093 100000         76814
## 9094 150000         33609
## 9095  75000         75000
## 9096  20000         20000
## 9097  29000         30469
## 9098  69999         69999
## 9099  52800         55475
## 9100  59000         61989
## 9101 152500        152500
## 9102 120000        120000
## 9103 135000        135000
## 9104 405000        405000
## 9105 150000        150000
## 9106 240000        240000
## 9107 135000        135000
## 9108  80000         80000
## 9109 380000        380000
## 9110 115000        120402
## 9111 177000        177000
## 9112  62000         65141
## 9113  48000         48000
## 9114  20000         20000
## 9115 220000        220000
## 9116 150000        150000
## 9117  90000         90000
## 9118 100000        100000
## 9119 100000        100000
## 9120 100000        100000
## 9121 144000        144000
## 9122 148000        155499
## 9123  24000         24000
## 9124  38400         38400
## 9125 100000        100000
## 9126  82500         82500
## 9127  42000         49646
## 9128 120000        120000
## 9129  80000         84053
## 9130  20000         20000
## 9131 125000        125000
## 9132 120000        120000
## 9133  80000        110037
## 9134  20000         21013
## 9135  50000         50000
## 9136 200000        200000
## 9137  60000         60000
## 9138 200000        200000
## 9139 100000        100000
## 9140 100000        100000
## 9141  70000         82744
## 9142  51999         59303
## 9143  53000         62649
## 9144  60000         82528
## 9145 170000        170000
## 9146 150000        150000
## 9147  55000         55000
## 9148 250000        250000
## 9149  80000         80000
## 9150  70000         70000
## 9151 110000        130026
## 9152  54000         63831
## 9153  60000         68428
## 9154  85000         85000
## 9155 230000        230000
## 9156 125000        125000
## 9157 120000        120000
## 9158 450000        450000
## 9159  41000         46759
## 9160  65000         74130
## 9161 159500        127221
## 9162 144000        144000
## 9163  95000         75774
## 9164 150000        150000
## 9165 103000        103000
## 9166 153000        153000
## 9167  90000         90000
## 9168  90000         90000
## 9169  60000         60000
## 9170  50000         50000
## 9171 270000        270000
## 9172  68000         54238
## 9173  40000         47282
## 9174 130000        153667
## 9175 110000         28476
## 9176 110000        110000
## 9177  60000         82528
## 9178 250000        250000
## 9179  50000         59102
## 9180  80000         80000
## 9181 138000        138000
## 9182 140000        140000
## 9183  67000         79197
## 9184 170000        170000
## 9185  80000         80000
## 9186  45760         45760
## 9187 100000        100000
## 9188  45000         53192
## 9189 235000        235000
## 9190 150000        150000
## 9191  70000         79833
## 9192 225000        225000
## 9193  65000         76833
## 9194  44000         50180
## 9195  75000         88654
## 9196  75000        103160
## 9197  82500        113476
## 9198  80000         94564
## 9199 150000        150000
## 9200 115000        115000
## 9201 235000        187442
## 9202  37456         51519
## 9203 106000        106000
## 9204  88000        112872
## 9205 150000        150000
## 9206  14000         15966
## 9207  81000         95746
## 9208  70000         70000
## 9209  60000         76958
## 9210 120000         89294
## 9211 276000        276000
## 9212 188000        188000
## 9213 160000        160000
## 9214 105000        105000
## 9215 200000        200000
## 9216 174000        174000
## 9217  93000         93000
## 9218  51400         60757
## 9219  90000         90000
## 9220  61500         70139
## 9221 170000        170000
## 9222  70000         96282
## 9223  31000         36643
## 9224  52500         72212
## 9225  91000         91000
## 9226 125000         99703
## 9227 165000        165000
## 9228  80000         80000
## 9229 130000        103691
## 9230  42000         42000
## 9231 115000        115000
## 9232  80000         63810
## 9233 260000        260000
## 9234 110000        110000
## 9235 180000        180000
## 9236 200000        200000
## 9237  85000        109024
## 9238 200000        200000
## 9239 256000        256000
## 9240 110000        110000
## 9241  70000         79833
## 9242  72500         72500
## 9243 185000        185000
## 9244  59000         69741
## 9245 100000        100000
## 9246 112000        112000
## 9247 150000        150000
## 9248 180000         20171
## 9249  55000         55000
## 9250  58000         58000
## 9251 100000        100000
## 9252  65720         77684
## 9253  85000         85000
## 9254  65000         76833
## 9255 105000        105000
## 9256  72000         72000
## 9257  55000         65013
## 9258 250000         28016
## 9259 111775        111775
## 9260  93150         93150
## 9261 160000        160000
## 9262  21600         25532
## 9263  54000         63831
## 9264 190000        190000
## 9265 120000        141846
## 9266  90000         71786
## 9267 135000        135000
## 9268  21000         24823
## 9269 147000        147000
## 9270 120500         96113
## 9271 174000        174000
## 9272 135000        135000
## 9273  21844         21844
## 9274 125000        125000
## 9275  45000         51321
## 9276  59000         69741
## 9277  50000         50000
## 9278  35000         39916
## 9279  87000         87000
## 9280  22000         26005
## 9281  76760         90734
## 9282  81000         81000
## 9283  90000         90000
## 9284  52000         61467
## 9285 195000        195000
## 9286  32000         37825
## 9287  85000         85000
## 9288 416000        416000
## 9289 225000        225000
## 9290  40900         56256
## 9291  85000        116914
## 9292 180000         46597
## 9293 100000        114047
## 9294  75000         88654
## 9295  56000         56000
## 9296 180000         28609
## 9297  75000         88654
## 9298  42000         47899
## 9299  98000         98000
## 9300  48000         66022
## 9301  48000         56738
## 9302  21000         24823
## 9303 120000        120000
## 9304  20000         20000
## 9305 325000        325000
## 9306 200000        200000
## 9307 300000         45896
## 9308 160000        160000
## 9309  50000         50000
## 9310  34000         40189
## 9311 165000        165000
## 9312  37000         42197
## 9313 185000        185000
## 9314  55000         62726
## 9315  76760         90734
## 9316  19000         21669
## 9317 110000        110000
## 9318 140000        140000
## 9319 120000        120000
## 9320 110000         87738
## 9321  45000         61896
## 9322  65000         76833
## 9323  74000         74000
## 9324 152000        152000
## 9325  18000         18000
## 9326  60000         60000
## 9327 130000        130000
## 9328 102000         18907
## 9329  50000         59102
## 9330 147000        173762
## 9331 130000        148261
## 9332  34000         38776
## 9333  39600         46809
## 9334  80000         91237
## 9335  55000         62726
## 9336 115000        115000
## 9337 235000        235000
## 9338  75000         75000
## 9339  62000         62000
## 9340  73000         73000
## 9341  38400         45391
## 9342 190200        190200
## 9343 118000        118000
## 9344 138350        138350
## 9345 130800        130800
## 9346  40000         45618
## 9347 168000        168000
## 9348 160000        119059
## 9349 423000        423000
## 9350  24000         28369
## 9351 165000        165000
## 9352 412000        412000
## 9353 151000        151000
## 9354 105000        105000
## 9355 100000        100000
dataset_cm <- colMeans(dataset_x)
dataset_S <- cov(dataset_x)
dataset_d <- apply(dataset_x, MARGIN = 1, function(dataset_x)t(dataset_x - dataset_cm) %*% solve(dataset_S) %*% (dataset_x - dataset_cm))
dataset_cm
##        salary salary_in_usd 
##      149928.0      150299.5
dataset_S
##                   salary salary_in_usd
## salary        4046083939    3983711399
## salary_in_usd 3983711399    3991380336
dataset_d
##    [1] 1.415838e+00 3.220856e-01 1.176400e+00 9.572230e-01 8.149699e-01
##    [6] 1.048187e-01 6.349547e-01 1.379457e+00 3.545133e-02 8.963378e-01
##   [11] 8.084450e-02 1.379457e+00 3.545133e-02 3.771970e+00 3.873376e+00
##   [16] 7.671644e-01 1.421299e+00 5.620864e+00 1.759273e+00 2.834379e-02
##   [21] 2.314122e-01 7.392406e-01 1.824521e-02 7.603610e-03 4.081242e-01
##   [26] 3.387981e+00 2.730313e-03 1.298921e+00 5.291955e-02 3.801894e+00
##   [31] 2.576350e-01 7.646134e-02 4.818139e-01 3.202968e-01 1.120489e-01
##   [36] 3.044233e-01 1.253096e+00 2.020840e-01 7.810745e-01 2.361799e+00
##   [41] 2.990882e-02 1.680154e-01 6.349547e-01 7.392406e-01 1.824521e-02
##   [46] 2.376412e+00 1.340598e-01 1.342549e+00 3.256782e-01 7.646134e-02
##   [51] 4.818139e-01 3.202968e-01 1.120489e-01 1.536711e+00 1.866526e+00
##   [56] 2.209543e-01 1.223107e-02 4.420795e+00 3.722774e-01 7.661381e-02
##   [61] 2.116482e+00 2.209224e-02 3.028693e-01 6.349547e-01 1.421299e+00
##   [66] 3.387981e+00 1.057237e-02 4.027914e+00 3.737436e+00 4.721918e+00
##   [71] 1.023041e-02 9.119037e-01 1.616157e+00 5.973042e-01 3.651612e-02
##   [76] 1.085722e-01 3.328259e-01 2.872621e-01 1.881717e-01 1.833487e+00
##   [81] 1.462059e-01 5.642498e-02 2.499714e-01 1.401842e+00 1.987374e-03
##   [86] 1.016921e+00 2.825071e-01 1.220811e+00 1.987374e-03 1.987374e-03
##   [91] 6.349547e-01 2.371536e+00 1.226097e-01 7.603610e-03 2.314122e-01
##   [96] 1.466247e+00 7.404140e-02 2.872621e-01 1.881717e-01 1.048187e-01
##  [101] 2.791633e-01 2.574948e-02 2.834379e-02 6.406363e-02 1.497739e+00
##  [106] 3.202968e-01 1.120489e-01 1.048187e-01 5.382083e-01 1.517442e-02
##  [111] 2.960828e-01 5.642498e-02 2.499714e-01 1.220811e+00 2.236293e-01
##  [116] 2.872621e-01 1.881717e-01 1.052310e+00 6.219831e-01 2.647164e+00
##  [121] 9.491591e-02 1.220811e+00 1.680154e-01 3.726656e+00 3.873376e+00
##  [126] 8.963378e-01 4.631855e-03 3.220856e-01 3.088221e-02 7.528957e-01
##  [131] 2.730313e-03 1.220811e+00 3.977469e-01 7.528957e-01 2.730313e-03
##  [136] 4.602383e-02 4.081242e-01 1.204205e-01 6.515719e-03 3.249176e-03
##  [141] 6.603943e-01 1.987374e-03 1.048187e-01 5.152746e-01 6.603943e-01
##  [146] 2.396831e+00 2.313571e-01 4.429813e-01 8.963378e-01 4.631855e-03
##  [151] 4.916476e+00 5.420955e-01 1.220811e+00 1.680154e-01 1.553649e-01
##  [156] 1.048187e-01 3.044233e-01 1.987374e-03 8.900768e-03 3.135034e-01
##  [161] 7.661381e-02 2.121088e+00 3.135034e-01 7.671644e-01 6.315432e+00
##  [166] 3.825962e+00 3.004819e+00 3.614334e+00 4.980076e+00 3.927276e+00
##  [171] 4.980076e+00 3.927276e+00 1.807470e+00 1.686906e+02 1.838552e+01
##  [176] 1.607415e+00 2.834379e-02 1.626746e-01 1.381971e+00 1.394360e+00
##  [181] 9.395319e-02 2.910890e+00 1.097747e-01 5.262744e-01 2.164975e-01
##  [186] 5.216995e-01 1.150349e-01 6.406363e-02 1.493869e+00 1.220811e+00
##  [191] 2.574948e-02 1.069173e+00 1.823545e+00 1.220811e+00 6.349547e-01
##  [196] 3.044233e-01 2.730313e-03 1.220811e+00 6.349547e-01 2.757992e+00
##  [201] 3.215869e+00 1.220811e+00 6.349547e-01 1.220811e+00 6.349547e-01
##  [206] 1.220811e+00 6.349547e-01 4.081242e-01 1.238971e+00 3.873376e+00
##  [211] 1.971454e-03 1.576183e+00 7.389158e-02 2.164975e-01 7.661381e-02
##  [216] 2.116482e+00 6.031645e-02 4.081242e-01 5.843036e+00 4.106336e+00
##  [221] 3.479342e-01 3.299730e-01 3.479342e-01 3.299730e-01 6.406363e-02
##  [226] 1.493869e+00 6.111436e+00 8.719142e-02 3.479342e-01 3.299730e-01
##  [231] 3.967633e+00 3.967633e+00 5.642498e-02 2.834379e-02 1.987374e-03
##  [236] 7.220347e-02 2.164975e-01 3.044233e-01 1.253096e+00 4.017405e-01
##  [241] 7.643974e-01 7.661381e-02 2.116482e+00 9.119037e-01 1.616157e+00
##  [246] 6.406363e-02 1.493869e+00 6.031645e-02 6.349547e-01 2.313571e-01
##  [251] 4.429813e-01 5.179597e+00 4.385847e-01 3.358915e+00 7.220347e-02
##  [256] 6.219831e-01 1.987374e-03 4.792015e-02 9.670771e-01 2.296317e-01
##  [261] 3.487453e-02 3.927276e+00 3.737436e+00 7.137241e+00 7.805817e-01
##  [266] 1.052310e+00 1.906303e-02 3.358915e+00 7.220347e-02 2.767962e-02
##  [271] 1.073429e+00 1.990135e-01 5.062415e-01 1.298921e+00 5.291955e-02
##  [276] 1.052310e+00 1.906303e-02 2.020113e+00 8.963378e-01 2.020840e-01
##  [281] 7.810745e-01 1.987374e-03 2.960828e-01 9.119037e-01 8.900768e-03
##  [286] 1.261279e-01 5.477993e-03 1.494419e-01 2.020113e+00 1.421871e-02
##  [291] 1.208608e+00 5.291955e-02 1.987374e-03 2.236293e-01 1.618506e-01
##  [296] 2.376412e+00 1.340598e-01 2.043462e+00 2.275909e+00 2.494942e+00
##  [301] 1.618506e-01 3.977469e-01 9.963010e-02 6.884939e-01 8.811817e-02
##  [306] 8.551426e-02 3.881976e-01 6.990271e-01 1.375343e-01 1.617367e-01
##  [311] 1.124190e+00 3.649474e-01 8.583541e-01 6.219831e-01 2.574948e-02
##  [316] 1.941713e+00 3.044233e-01 1.987374e-03 2.574948e-02 1.048187e-01
##  [321] 8.900768e-03 3.135034e-01 7.661381e-02 2.121088e+00 2.698907e+00
##  [326] 2.111793e-02 9.963010e-02 1.069173e+00 9.980467e-02 2.960828e-01
##  [331] 1.190165e+00 2.858086e+00 8.998671e-02 8.525044e-01 6.406363e-02
##  [336] 1.493869e+00 3.977469e-01 5.642498e-02 6.048992e+00 5.325258e-03
##  [341] 1.987374e-03 2.314122e-01 3.901282e+00 5.702031e-03 8.519896e-01
##  [346] 5.642498e-02 2.948812e+00 1.259313e-01 1.987374e-03 1.048187e-01
##  [351] 3.044233e-01 1.987374e-03 6.406363e-02 1.493869e+00 5.779219e-01
##  [356] 4.040988e-01 6.406363e-02 1.493869e+00 9.572230e-01 8.149699e-01
##  [361] 9.572230e-01 8.149699e-01 6.406363e-02 1.493869e+00 7.304502e-02
##  [366] 3.803674e-01 7.661381e-02 2.116482e+00 6.406363e-02 1.493869e+00
##  [371] 9.963010e-02 8.900768e-03 9.572230e-01 8.149699e-01 9.963010e-02
##  [376] 6.031645e-02 8.900768e-03 3.135034e-01 2.932974e-02 7.581900e-01
##  [381] 4.136031e+00 2.245477e-02 1.466247e+00 2.147904e-03 2.361799e+00
##  [386] 2.990882e-02 3.589139e-01 3.373595e-02 1.987374e-03 2.574948e-02
##  [391] 7.951099e-01 1.375343e-01 1.823545e+00 3.964051e+00 1.432155e-01
##  [396] 3.019889e+00 5.291955e-02 2.494942e+00 8.963378e-01 3.589139e-01
##  [401] 3.373595e-02 1.931162e+00 1.680154e-01 7.392406e-01 1.824521e-02
##  [406] 9.572230e-01 3.977469e-01 3.102954e+00 6.420284e-02 1.975387e+00
##  [411] 1.895404e-01 3.135034e-01 7.671644e-01 1.899011e-02 3.135034e-01
##  [416] 8.246250e+00 3.459429e+00 2.236293e-01 9.119037e-01 1.135589e+00
##  [421] 1.781065e+00 1.373889e+00 2.085081e-01 6.406363e-02 1.493869e+00
##  [426] 2.209224e-02 3.028693e-01 4.285519e-01 6.349547e-01 7.639099e-01
##  [431] 8.264288e-01 1.220811e+00 1.048187e-01 2.574948e-02 4.081242e-01
##  [436] 1.595403e+00 6.349547e-01 3.226232e-01 4.040988e-01 1.048187e-01
##  [441] 6.349547e-01 2.111069e+00 4.884158e-01 1.220811e+00 2.314122e-01
##  [446] 2.910890e+00 1.097747e-01 8.760236e-01 2.125699e+00 4.385847e-01
##  [451] 1.948199e-01 8.963378e-01 1.048187e-01 2.574948e-02 1.987374e-03
##  [456] 3.019889e+00 5.291955e-02 7.805817e-01 6.821453e-02 2.236293e-01
##  [461] 6.031645e-02 6.219831e-01 2.314122e-01 9.572230e-01 8.149699e-01
##  [466] 4.774376e-01 2.148831e+00 3.382158e+00 1.350092e-01 1.618506e-01
##  [471] 6.349547e-01 6.094803e-02 1.789521e+00 9.083545e-01 1.046397e-01
##  [476] 9.572230e-01 8.149699e-01 9.963010e-02 2.574948e-02 3.114281e-01
##  [481] 1.185476e+00 4.597553e-01 1.698757e-02 9.963010e-02 6.349547e-01
##  [486] 1.298921e+00 5.291955e-02 3.249176e-03 6.603943e-01 7.392406e-01
##  [491] 1.824521e-02 7.671644e-01 1.421299e+00 3.135034e-01 5.152746e-01
##  [496] 5.216995e-01 3.593018e-02 9.119037e-01 1.238971e+00 4.491074e-01
##  [501] 2.834379e-02 6.349547e-01 1.421299e+00 8.998671e-02 8.819535e-01
##  [506] 1.104867e+00 1.057237e-02 1.987374e-03 2.314122e-01 7.661381e-02
##  [511] 2.116482e+00 6.406363e-02 1.493869e+00 6.406363e-02 1.493869e+00
##  [516] 8.675312e+00 2.089740e-01 5.353938e+00 2.383672e-02 9.572230e-01
##  [521] 8.149699e-01 7.392406e-01 1.824521e-02 2.937952e+00 1.458595e+00
##  [526] 2.359368e+00 2.563181e-01 2.574948e-02 2.834379e-02 9.572230e-01
##  [531] 8.121177e-01 1.459999e+01 7.558177e+00 1.186108e+00 8.551426e-02
##  [536] 9.980467e-02 2.960828e-01 7.505528e+00 2.992223e-01 2.494942e+00
##  [541] 6.219831e-01 5.291955e-02 8.819535e-01 3.202968e-01 1.120489e-01
##  [546] 1.517442e-02 1.310399e+00 6.031645e-02 4.081242e-01 1.906303e-02
##  [551] 5.807518e-01 4.276392e-02 1.186716e+00 6.728446e-01 4.631855e-03
##  [556] 2.834379e-02 1.618506e-01 1.059117e-01 1.266864e-01 7.558177e+00
##  [561] 4.632736e+00 1.060816e+00 1.551848e+00 6.349547e-01 6.349547e-01
##  [566] 3.044233e-01 1.618506e-01 2.043462e+00 2.421391e+00 5.620864e+00
##  [571] 3.019889e+00 1.401842e+00 9.963010e-02 6.349547e-01 1.238971e+00
##  [576] 7.392406e-01 1.824521e-02 6.031645e-02 6.349547e-01 5.420061e+00
##  [581] 5.779219e-01 2.020113e+00 3.977469e-01 3.044233e-01 1.253096e+00
##  [586] 1.298921e+00 5.291955e-02 4.081242e-01 7.671644e-01 7.566359e+00
##  [591] 2.111793e-02 8.287982e-01 7.068169e-02 1.576183e+00 2.181426e+00
##  [596] 1.298921e+00 5.291955e-02 6.219831e-01 1.987374e-03 2.088949e+00
##  [601] 2.520885e+00 1.759273e+00 8.374574e-01 3.402492e-01 1.261279e-01
##  [606] 6.728446e-01 4.631855e-03 2.520885e+00 2.131040e+00 2.402447e+00
##  [611] 4.188832e+00 6.031645e-02 2.314122e-01 1.987374e-03 2.834379e-02
##  [616] 3.977469e-01 5.642498e-02 4.220139e+00 3.977469e-01 9.572230e-01
##  [621] 3.977469e-01 3.771970e+00 3.771970e+00 2.284623e+00 8.279150e-02
##  [626] 9.119037e-01 1.238971e+00 9.572230e-01 8.149699e-01 9.572230e-01
##  [631] 8.149699e-01 3.964051e+00 1.432155e-01 7.661381e-02 2.121088e+00
##  [636] 7.316600e-03 1.088887e+00 5.620864e+00 5.036002e-01 3.977469e-01
##  [641] 4.601332e-01 5.152746e-01 1.421299e+00 2.834379e-02 6.863350e-01
##  [646] 7.392406e-01 1.824521e-02 1.851097e+00 2.294708e-02 3.135034e-01
##  [651] 1.069173e+00 8.900768e-03 2.314122e-01 2.261350e-01 1.444021e+00
##  [656] 1.896533e-02 9.716859e-01 2.465518e-01 1.375343e-01 5.620864e+00
##  [661] 3.019889e+00 2.910890e+00 1.097747e-01 3.933711e+00 6.219831e-01
##  [666] 1.987374e-03 1.413102e+00 5.588603e-01 7.666760e-01 1.206127e-01
##  [671] 4.302567e-01 1.543453e-01 2.284623e+00 8.279150e-02 1.006980e-01
##  [676] 8.525044e-01 2.855735e-01 4.326976e-01 3.901282e+00 2.135747e-01
##  [681] 6.406363e-02 1.493869e+00 1.645751e+00 3.881976e-01 5.620864e+00
##  [686] 1.048187e-01 9.113712e-01 5.084923e-01 1.857958e-02 1.043168e+00
##  [691] 6.048992e+00 5.325258e-03 2.296317e-01 3.487453e-02 2.948812e+00
##  [696] 1.259313e-01 1.052066e-02 6.249192e-01 6.659482e-02 5.569160e-01
##  [701] 5.152746e-01 1.069173e+00 1.220811e+00 2.574948e-02 4.081242e-01
##  [706] 7.671644e-01 7.561265e-01 2.144195e+00 4.081242e-01 1.036717e+00
##  [711] 1.618506e-01 9.889720e-01 3.044233e-01 1.253096e+00 3.901282e+00
##  [716] 9.963010e-02 7.489386e-02 1.102130e+00 1.097747e-01 8.235566e-01
##  [721] 1.099885e+00 1.780664e-01 9.821384e-01 1.734470e-01 7.528957e-01
##  [726] 6.406363e-02 1.662027e+00 3.800240e-01 2.574948e-02 2.314122e-01
##  [731] 1.052066e-02 6.249192e-01 3.409863e+00 1.233547e-01 1.940565e-02
##  [736] 3.082246e-01 1.413102e+00 5.588603e-01 4.101444e-01 1.989539e+00
##  [741] 3.088221e-02 1.421299e+00 6.406363e-02 1.493869e+00 3.656107e-02
##  [746] 7.536541e-01 1.987374e-03 4.081242e-01 1.684539e+00 7.404140e-02
##  [751] 1.277410e+00 1.719922e+00 1.983115e-01 3.980983e-01 3.977469e-01
##  [756] 2.574948e-02 1.085008e+00 2.872621e-01 6.406363e-02 5.382083e-01
##  [761] 3.044233e-01 1.253096e+00 1.595403e+00 5.262744e-01 2.872621e-01
##  [766] 1.881717e-01 6.094803e-02 1.789521e+00 3.220856e-01 1.176400e+00
##  [771] 6.031645e-02 1.152506e+00 2.359368e+00 2.574948e-02 8.998671e-02
##  [776] 5.039957e-01 5.216995e-01 3.593018e-02 4.389537e-01 1.281587e+00
##  [781] 1.401842e+00 6.406363e-02 7.646134e-02 4.818139e-01 2.574948e-02
##  [786] 4.081242e-01 2.314122e-01 5.152746e-01 4.081242e-01 9.889720e-01
##  [791] 2.043462e+00 2.275909e+00 8.900768e-03 3.135034e-01 1.401842e+00
##  [796] 6.406363e-02 6.031645e-02 6.349547e-01 5.152746e-01 7.671644e-01
##  [801] 4.881445e+00 1.026512e+00 7.646134e-02 4.818139e-01 1.220811e+00
##  [806] 6.515719e-03 1.261279e-01 1.186716e+00 7.805817e-01 6.821453e-02
##  [811] 1.210213e+01 6.219831e-01 1.553649e-01 2.574948e-02 2.020113e+00
##  [816] 6.349547e-01 2.236293e-01 2.574948e-02 1.517442e-02 1.375343e-01
##  [821] 2.460073e+00 2.200965e-03 1.298921e+00 5.291955e-02 3.977469e-01
##  [826] 2.574948e-02 2.400868e+00 6.731670e-03 1.016189e-01 1.105453e+00
##  [831] 6.349547e-01 1.421299e+00 6.406363e-02 9.119037e-01 2.574948e-02
##  [836] 7.922928e-01 1.462418e+00 2.783214e-02 2.376412e+00 1.340598e-01
##  [841] 1.298921e+00 5.291955e-02 3.019889e+00 5.291955e-02 1.298921e+00
##  [846] 5.291955e-02 1.023041e-02 1.747606e-01 6.219831e-01 8.011385e-02
##  [851] 6.237286e+00 4.057541e-01 7.603610e-03 5.291955e-02 2.574948e-02
##  [856] 1.421299e+00 1.036149e+00 8.011385e-02 3.881976e-01 5.382083e-01
##  [861] 3.019889e+00 5.291955e-02 1.069173e+00 1.421299e+00 2.273714e-01
##  [866] 2.627451e-01 9.821384e-01 3.764823e-01 1.511034e-02 8.100139e-02
##  [871] 1.069173e+00 1.421299e+00 7.974236e-01 2.423263e+00 1.097747e-01
##  [876] 2.730313e-03 1.349890e+00 3.135034e-01 6.406363e-02 1.493869e+00
##  [881] 2.834379e-02 4.081242e-01 9.588363e-02 1.509378e+00 8.416202e+00
##  [886] 1.178700e-02 2.236293e-01 2.595216e-01 1.042462e+01 1.284539e+00
##  [891] 6.406363e-02 1.497739e+00 1.204706e-02 4.470483e-02 2.367682e-03
##  [896] 1.810748e+00 3.402492e-01 2.236293e-01 2.369656e-01 1.601148e+00
##  [901] 5.152746e-01 1.739086e+00 5.855791e-01 7.735475e-01 3.220856e-01
##  [906] 1.176400e+00 7.661381e-02 2.116482e+00 9.864321e-02 4.997870e-02
##  [911] 6.048992e+00 1.259313e-01 5.152746e-01 1.421299e+00 3.281558e+00
##  [916] 3.877191e+00 2.272211e-01 2.289922e-01 9.572230e-01 8.121177e-01
##  [921] 3.901282e+00 9.963010e-02 2.468281e-01 1.560334e+00 2.969419e-01
##  [926] 1.633500e+00 1.405591e+00 2.391936e-02 2.960828e-01 9.119037e-01
##  [931] 9.572230e-01 8.149699e-01 2.089740e-01 1.178700e-02 2.535093e+00
##  [936] 7.389158e-02 1.178700e-02 1.383831e+00 1.595403e+00 2.236293e-01
##  [941] 1.157599e-02 2.437048e-01 1.987374e-03 1.048187e-01 2.371536e+00
##  [946] 1.226097e-01 7.603610e-03 1.618506e-01 1.553649e-01 6.994933e-01
##  [951] 1.220811e+00 3.044233e-01 6.349547e-01 1.421299e+00 5.852091e+00
##  [956] 6.819514e-01 4.181091e+00 6.637991e-01 1.669545e-01 5.779219e-01
##  [961] 4.040988e-01 9.572230e-01 8.121177e-01 8.900768e-03 4.081242e-01
##  [966] 9.270668e-01 1.823545e+00 7.954347e+00 7.694472e-01 3.009509e-01
##  [971] 3.593018e-02 1.069173e+00 1.962848e+00 4.009794e+00 3.912207e+00
##  [976] 2.960828e-01 1.517162e+00 1.052310e+00 9.815164e-02 1.401842e+00
##  [981] 2.236293e-01 4.018641e-03 4.562412e-01 1.413102e+00 5.588603e-01
##  [986] 2.574948e-02 5.291955e-02 7.419616e-01 1.434255e-01 8.963378e-01
##  [991] 3.135034e-01 1.020676e+00 3.026363e+00 3.019889e+00 5.291955e-02
##  [996] 8.070837e+00 4.459585e-01 4.220139e+00 2.574948e-02 4.774376e-01
## [1001] 7.127770e-01 1.553649e-01 1.987374e-03 8.900768e-03 2.314122e-01
## [1006] 9.733077e-01 2.043462e+00 1.881717e-01 8.066272e-01 3.964051e+00
## [1011] 1.432155e-01 3.202968e-01 1.120489e-01 1.306323e+00 1.292979e-01
## [1016] 2.261350e-01 1.444021e+00 7.694472e-01 4.995193e-01 3.215461e+00
## [1021] 3.851022e-01 4.385847e-01 1.747606e-01 1.595403e+00 1.747606e-01
## [1026] 2.745781e-03 1.152506e+00 3.009509e-01 3.593018e-02 6.396404e+00
## [1031] 7.805817e-01 1.232340e+01 1.327926e+00 1.459999e+01 7.558177e+00
## [1036] 7.671644e-01 1.238971e+00 9.491591e-02 4.081242e-01 2.745781e-03
## [1041] 1.152506e+00 7.661381e-02 2.116482e+00 1.738350e+00 6.515719e-03
## [1046] 5.620864e+00 1.048187e-01 4.278144e+00 3.450352e-01 6.010127e+00
## [1051] 4.797688e-03 1.281587e+00 2.826073e+00 6.406363e-02 1.493869e+00
## [1056] 1.987374e-03 1.238971e+00 1.987374e-03 1.238971e+00 9.963010e-02
## [1061] 2.314122e-01 4.081242e-01 9.119037e-01 6.937505e-01 5.312755e-01
## [1066] 3.740429e+00 2.783214e-02 5.477993e-03 5.616431e-01 1.349890e+00
## [1071] 3.135034e-01 1.212703e+00 2.599372e+00 1.049639e+00 2.181426e+00
## [1076] 4.057541e-01 3.687723e-01 2.369656e-01 1.601148e+00 5.982996e+00
## [1081] 2.574948e-02 6.636609e-01 2.127499e+00 3.962930e-02 1.052882e+00
## [1086] 6.166337e+00 1.111527e+00 4.768077e-03 4.752570e-01 2.494942e+00
## [1091] 1.618506e-01 4.220139e+00 2.236293e-01 2.574948e-02 1.048187e-01
## [1096] 2.236293e-01 3.651612e-02 3.044233e-01 1.253096e+00 5.379775e-02
## [1101] 8.817055e-02 1.428853e+00 1.883859e+00 3.656107e-02 7.536541e-01
## [1106] 4.980076e+00 3.927276e+00 4.220139e+00 2.574948e-02 9.963010e-02
## [1111] 2.834379e-02 4.276392e-02 1.186716e+00 2.688103e+00 1.948936e-02
## [1116] 3.014392e+00 3.261743e-02 7.051202e+00 4.341489e+00 5.107806e+00
## [1121] 3.044233e-01 2.236293e-01 9.119037e-01 5.642498e-02 3.047304e-01
## [1126] 4.081242e-01 1.616157e+00 1.906303e-02 5.855791e-01 2.075880e-02
## [1131] 2.106720e-01 2.020113e+00 9.963010e-02 1.298921e+00 5.291955e-02
## [1136] 2.275909e+00 2.571384e+00 6.031645e-02 4.081242e-01 6.219831e-01
## [1141] 2.236293e-01 3.189392e+01 1.692138e+01 8.084450e-02 1.048187e-01
## [1146] 5.152746e-01 1.616157e+00 5.152746e-01 6.349547e-01 2.157299e+00
## [1151] 2.730313e-03 7.646134e-02 4.818139e-01 4.341489e+00 3.029909e-01
## [1156] 1.249558e+00 4.331405e+00 2.299128e-02 1.327097e-01 1.007934e+00
## [1161] 2.948812e+00 6.985429e-02 2.314122e-01 1.069173e+00 1.413102e+00
## [1166] 5.588603e-01 1.335840e-02 1.618506e-01 8.374574e-01 6.821453e-02
## [1171] 2.834379e-02 1.823545e+00 2.948812e+00 2.574948e-02 2.948812e+00
## [1176] 3.627070e-01 3.726656e+00 3.726656e+00 4.081242e-01 1.482291e+00
## [1181] 2.774385e-01 2.774385e-01 1.048187e-01 7.074485e-01 5.546066e+00
## [1186] 3.402492e-01 7.392406e-01 1.781065e+00 3.977469e-01 2.834379e-02
## [1191] 1.016189e-01 1.105453e+00 1.048187e-01 5.960257e-01 1.811671e-01
## [1196] 2.627451e-01 1.780320e+00 1.375343e-01 4.402182e+01 4.721918e+00
## [1201] 8.084450e-02 7.603610e-03 2.834379e-02 1.595403e+00 2.236293e-01
## [1206] 3.853560e-03 5.291955e-02 7.974236e-01 2.423263e+00 2.698907e+00
## [1211] 6.219831e-01 1.036149e+00 6.420284e-02 5.291955e-02 5.382083e-01
## [1216] 4.081242e-01 9.119037e-01 8.900768e-03 3.135034e-01 1.517442e-02
## [1221] 2.791633e-01 1.085008e+00 2.872621e-01 7.566359e+00 2.111793e-02
## [1226] 1.048187e-01 4.081242e-01 4.106336e+00 3.737436e+00 1.210213e+01
## [1231] 6.219831e-01 3.920061e+00 2.788695e-01 1.595403e+00 5.262744e-01
## [1236] 2.647164e+00 1.208567e-01 1.759273e+00 1.948199e-01 4.928751e-02
## [1241] 1.048187e-01 4.236447e-01 1.686331e+00 2.402447e+00 2.618975e+00
## [1246] 1.210962e+00 2.333560e+00 2.959692e+00 1.690491e-01 4.009794e+00
## [1251] 3.912207e+00 2.314122e-01 4.081242e-01 6.316594e+00 1.906303e-02
## [1256] 6.637991e-01 1.669545e-01 1.823545e+00 2.043462e+00 8.460166e-02
## [1261] 1.681158e+00 8.900768e-03 4.081242e-01 2.574948e-02 2.834379e-02
## [1266] 9.889720e-01 1.931937e+00 1.906303e-02 1.261279e-01 2.574948e-02
## [1271] 1.048187e-01 7.603610e-03 3.097722e-02 6.937505e-01 5.312755e-01
## [1276] 1.256015e+00 1.152227e-01 2.965139e+00 3.516230e-02 2.314122e-01
## [1281] 6.349547e-01 7.603610e-03 1.048187e-01 2.361799e+00 2.990882e-02
## [1286] 1.052310e+00 2.665154e-01 2.400868e+00 6.731670e-03 8.087690e-01
## [1291] 2.345282e-02 9.119037e-01 2.275909e+00 2.361799e+00 2.990882e-02
## [1296] 3.273477e+00 5.620864e+00 6.349547e-01 5.620864e+00 6.349547e-01
## [1301] 2.841865e-01 8.121177e-01 1.238971e+00 2.520885e+00 2.089740e-01
## [1306] 1.743971e-01 5.036002e-01 1.258687e-02 2.236293e-01 3.651612e-02
## [1311] 5.973042e-01 5.438420e-01 9.119037e-01 1.616157e+00 7.566359e+00
## [1316] 2.111793e-02 1.291720e+00 2.111793e-02 1.553649e-01 1.987374e-03
## [1321] 2.520885e+00 1.959809e+00 4.081242e-01 1.421299e+00 2.854464e+00
## [1326] 3.215869e+00 1.220811e+00 1.238971e+00 7.646134e-02 4.818139e-01
## [1331] 1.987374e-03 1.048187e-01 1.987374e-03 1.048187e-01 1.434255e-01
## [1336] 1.310399e+00 3.202968e-01 1.120489e-01 2.494942e+00 1.291720e+00
## [1341] 8.900768e-03 2.314122e-01 1.987374e-03 2.314122e-01 7.392406e-01
## [1346] 1.824521e-02 5.397975e+00 3.962930e-02 3.742105e-03 4.862102e-01
## [1351] 2.361799e+00 2.990882e-02 5.687719e+00 4.341730e+00 9.251851e-02
## [1356] 1.250149e-01 2.960828e-01 9.119037e-01 1.492276e-01 3.498481e-01
## [1361] 2.204859e+00 3.215869e+00 1.477763e+00 3.044233e-01 1.595403e+00
## [1366] 2.574948e-02 3.044233e-01 1.987374e-03 3.780867e-02 3.941230e-01
## [1371] 3.044233e-01 1.253096e+00 8.519896e-01 5.642498e-02 6.349547e-01
## [1376] 1.421299e+00 3.044233e-01 1.987374e-03 2.757992e+00 3.215869e+00
## [1381] 4.276392e-02 1.186716e+00 1.048187e-01 1.238971e+00 1.595403e+00
## [1386] 5.262744e-01 6.937505e-01 5.312755e-01 1.085008e+00 2.872621e-01
## [1391] 9.626458e-01 1.023041e-02 2.872621e-01 1.881717e-01 3.852323e-01
## [1396] 1.752004e+00 3.977469e-01 3.545133e-02 7.660570e-01 2.070694e+00
## [1401] 5.683986e-01 1.158530e-02 6.237286e+00 1.178700e-02 1.204205e-01
## [1406] 2.834379e-02 4.834320e+00 4.065831e+00 3.044233e-01 1.987374e-03
## [1411] 5.477993e-03 5.616431e-01 2.236293e-01 1.964590e-01 1.238971e+00
## [1416] 1.616157e+00 2.314122e-01 9.119037e-01 1.497056e+00 3.877867e-03
## [1421] 1.987374e-03 2.520885e+00 4.106336e+00 3.737436e+00 1.220811e+00
## [1426] 2.236293e-01 8.246250e+00 3.459429e+00 3.977469e-01 1.048187e-01
## [1431] 2.574948e-02 1.048187e-01 1.987374e-03 2.520885e+00 1.226097e-01
## [1436] 9.299548e-02 2.494942e+00 6.349547e-01 1.948199e-01 5.642498e-02
## [1441] 6.937505e-01 5.312755e-01 7.603610e-03 2.314122e-01 4.220139e+00
## [1446] 6.219831e-01 2.872621e-01 1.881717e-01 6.937505e-01 5.312755e-01
## [1451] 4.106336e+00 3.927276e+00 4.895442e+00 1.338569e-01 1.801493e+00
## [1456] 7.257108e-01 5.620864e+00 1.291720e+00 2.574948e-02 5.291955e-02
## [1461] 7.805817e-01 6.821453e-02 7.603610e-03 5.152746e-01 4.721918e+00
## [1466] 9.727575e-01 3.982849e-01 2.749632e-03 4.315344e+00 1.048187e-01
## [1471] 6.349547e-01 2.494942e+00 1.618506e-01 9.491591e-02 9.733077e-01
## [1476] 1.238971e+00 2.520885e+00 5.731264e-01 8.551426e-02 1.618506e-01
## [1481] 3.135034e-01 2.872621e-01 1.881717e-01 8.900768e-03 1.048187e-01
## [1486] 1.066787e-01 3.332449e-01 2.872621e-01 1.881717e-01 4.220139e+00
## [1491] 6.219831e-01 3.044233e-01 1.204009e+00 1.220811e+00 1.238971e+00
## [1496] 3.044233e-01 1.881717e-01 1.238971e+00 1.421299e+00 1.987374e-03
## [1501] 1.048187e-01 2.372396e+00 2.622384e+00 7.866702e+01 4.106336e+00
## [1506] 1.987374e-03 1.618506e-01 1.987374e-03 1.048187e-01 4.009794e+00
## [1511] 3.912207e+00 3.977469e-01 9.963010e-02 1.618506e-01 3.135034e-01
## [1516] 1.048187e-01 5.960257e-01 1.987374e-03 3.135034e-01 2.872621e-01
## [1521] 1.881717e-01 4.814272e-01 1.553649e-01 3.044233e-01 2.574948e-02
## [1526] 3.044233e-01 2.520885e+00 1.238971e+00 1.616157e+00 2.698907e+00
## [1531] 6.219831e-01 9.572846e-02 2.314122e-01 2.574948e-02 1.048187e-01
## [1536] 1.159150e+00 2.023725e-01 1.298921e+00 5.291955e-02 6.885785e+00
## [1541] 6.728446e-01 1.298921e+00 5.291955e-02 3.927832e-01 2.435025e-01
## [1546] 3.651612e-02 1.048187e-01 1.016189e-01 1.105453e+00 6.937505e-01
## [1551] 5.312755e-01 2.542355e+00 7.616455e-01 7.603610e-03 1.618506e-01
## [1556] 6.031645e-02 3.314252e-01 1.159150e+00 2.023725e-01 2.020113e+00
## [1561] 4.393838e-02 2.954249e+00 6.021999e-01 1.072687e+00 2.279603e-02
## [1566] 7.603610e-03 1.618506e-01 9.963010e-02 6.349547e-01 1.759273e+00
## [1571] 8.374574e-01 6.990271e-01 7.661381e-02 3.740429e+00 2.783214e-02
## [1576] 4.351191e+00 8.374574e-01 7.973954e-01 2.423263e+00 9.265298e-01
## [1581] 3.044233e-01 2.499714e-01 1.421299e+00 2.268196e-02 1.038059e-01
## [1586] 3.130893e+00 2.251263e+00 3.977469e-01 1.987374e-03 7.588885e-01
## [1591] 4.774818e-02 3.044233e-01 7.782824e-01 2.574948e-02 4.709109e-01
## [1596] 3.266744e+00 1.719083e-01 2.574948e-02 4.709109e-01 3.901282e+00
## [1601] 1.553649e-01 1.383831e+00 2.530118e+00 3.004819e+00 1.210962e+00
## [1606] 2.333560e+00 1.987374e-03 1.618506e-01 8.963378e-01 2.236293e-01
## [1611] 8.963378e-01 7.603610e-03 9.474576e-02 3.962930e-02 1.466247e+00
## [1616] 7.404140e-02 4.136031e+00 2.245477e-02 2.236293e-01 2.314122e-01
## [1621] 1.618506e-01 3.135034e-01 5.420061e+00 5.779219e-01 7.392406e-01
## [1626] 3.430273e-02 4.000934e-01 1.697609e+00 3.052980e+00 1.046397e-01
## [1631] 1.877349e+00 2.705026e+00 1.048160e+00 3.374193e-01 7.671644e-01
## [1636] 1.592113e+00 2.114880e-03 1.366615e-01 3.651612e-02 3.881976e-01
## [1641] 4.220139e+00 2.665154e-01 9.821384e-01 1.734470e-01 5.262744e-01
## [1646] 1.666972e-02 3.044233e-01 1.253096e+00 4.597553e-01 4.081242e-01
## [1651] 2.251263e+00 3.044233e-01 5.477993e-03 5.616431e-01 1.238971e+00
## [1656] 1.616157e+00 2.494942e+00 1.401842e+00 9.119037e-01 1.238971e+00
## [1661] 3.804309e+00 3.726656e+00 7.528957e-01 7.646134e-02 6.884939e-01
## [1666] 8.811817e-02 4.928751e-02 1.048187e-01 2.020113e+00 1.220811e+00
## [1671] 8.084450e-02 1.048187e-01 3.202968e-01 1.120489e-01 5.420061e+00
## [1676] 5.779219e-01 3.977469e-01 1.023041e-02 7.528957e-01 2.730313e-03
## [1681] 5.377995e-01 7.047917e-01 3.019889e+00 4.385847e-01 1.085008e+00
## [1686] 2.872621e-01 4.385847e-01 4.928751e-02 1.504809e+00 7.220652e-03
## [1691] 2.574948e-02 2.834379e-02 8.084450e-02 1.048187e-01 4.551526e+00
## [1696] 3.977469e-01 1.626369e+01 3.594955e+00 1.029719e+00 4.389537e-01
## [1701] 8.900768e-03 3.135034e-01 1.048187e-01 3.498481e-01 4.924510e-01
## [1706] 4.030956e-01 5.251888e+00 1.852103e-01 3.737436e+00 3.758348e+00
## [1711] 5.291955e-02 5.382083e-01 1.298921e+00 5.291955e-02 4.385847e-01
## [1716] 4.928751e-02 1.220811e+00 3.402492e-01 1.032266e+01 2.460073e+00
## [1721] 1.069173e+00 1.274435e+00 1.036149e+00 8.011385e-02 9.491591e-02
## [1726] 1.048187e-01 4.768077e-03 4.752570e-01 1.220811e+00 4.265122e-02
## [1731] 8.084450e-02 1.048187e-01 4.622787e-01 5.977351e-01 1.238971e+00
## [1736] 1.616157e+00 1.674152e+00 5.620864e+00 6.349547e-01 1.553649e-01
## [1741] 6.031645e-02 4.928751e-02 1.048187e-01 5.620864e+00 9.265298e-01
## [1746] 3.964051e+00 2.872621e-01 3.135034e-01 4.081242e-01 2.932974e-02
## [1751] 7.581900e-01 7.220347e-02 1.987374e-03 1.178700e-02 7.397201e-01
## [1756] 2.834379e-02 1.618506e-01 8.900768e-03 2.960828e-01 3.088221e-02
## [1761] 2.909543e-01 2.834379e-02 1.618506e-01 1.624381e-01 9.290913e-03
## [1766] 1.401842e+00 6.406363e-02 3.977469e-01 1.987374e-03 1.401842e+00
## [1771] 6.406363e-02 2.242245e-03 1.482286e-01 3.977469e-01 2.730313e-03
## [1776] 6.884939e-01 8.811817e-02 3.977469e-01 1.987374e-03 2.236293e-01
## [1781] 1.618506e-01 3.498481e-01 8.998635e-01 7.338136e-01 3.373595e-02
## [1786] 4.351191e+00 8.374574e-01 3.044233e-01 1.747606e-01 2.020113e+00
## [1791] 1.335840e-02 9.821384e-01 3.764823e-01 2.706021e-01 4.631855e-03
## [1796] 8.998671e-02 8.819535e-01 8.963378e-01 2.574948e-02 1.580158e+00
## [1801] 2.571384e+00 4.597553e-01 1.261279e-01 8.084450e-02 1.048187e-01
## [1806] 5.477993e-03 5.616431e-01 7.974236e-01 2.423263e+00 2.236293e-01
## [1811] 2.574948e-02 2.834379e-02 2.834379e-02 3.901282e+00 2.157299e+00
## [1816] 1.052310e+00 2.574948e-02 1.492276e-01 3.498481e-01 1.618506e-01
## [1821] 1.238971e+00 8.900768e-03 3.135034e-01 3.019889e+00 2.574948e-02
## [1826] 6.728446e-01 2.834379e-02 1.719431e+01 2.494942e+00 2.834379e-02
## [1831] 2.757992e+00 3.004819e+00 7.257108e-01 1.317685e-01 7.645595e-03
## [1836] 4.494808e-01 7.805817e-01 1.566074e-01 1.950652e-01 1.152506e+00
## [1841] 4.000934e-01 1.697609e+00 3.977469e-01 2.574948e-02 7.671644e-01
## [1846] 1.421299e+00 5.291955e-02 5.382083e-01 1.048187e-01 5.152746e-01
## [1851] 5.477993e-03 5.616431e-01 1.118207e+00 4.385847e-01 9.963010e-02
## [1856] 6.349547e-01 9.119037e-01 2.043462e+00 9.999749e+00 8.084450e-02
## [1861] 1.797249e+00 3.405740e-01 1.381048e+01 2.251263e+00 2.751151e+00
## [1866] 2.751151e+00 1.016189e-01 1.105453e+00 1.016189e-01 1.105453e+00
## [1871] 6.858732e-01 1.879309e-01 6.237286e+00 1.178700e-02 1.048187e-01
## [1876] 5.960257e-01 5.620864e+00 1.987374e-03 1.298921e+00 5.291955e-02
## [1881] 8.900768e-03 1.048187e-01 7.603610e-03 1.048187e-01 2.020113e+00
## [1886] 2.236293e-01 1.016189e-01 1.105453e+00 8.963378e-01 5.642498e-02
## [1891] 5.620864e+00 1.987374e-03 5.620864e+00 1.987374e-03 9.821384e-01
## [1896] 3.764823e-01 1.007375e+00 5.569160e-01 1.595403e+00 3.853560e-03
## [1901] 6.237286e+00 4.057541e-01 7.257108e-01 1.317685e-01 2.494942e+00
## [1906] 1.618506e-01 1.381048e+01 6.396404e+00 2.314122e-01 9.733077e-01
## [1911] 1.698757e-02 4.494808e-01 1.381048e+01 6.396404e+00 2.361799e+00
## [1916] 2.990882e-02 2.020113e+00 2.236293e-01 1.048187e-01 5.960257e-01
## [1921] 8.963378e-01 5.642498e-02 1.016189e-01 1.105453e+00 1.298921e+00
## [1926] 5.291955e-02 8.998671e-02 8.819535e-01 6.031645e-02 4.081242e-01
## [1931] 8.242077e+00 5.383509e+00 7.866702e+01 3.804486e+00 1.987374e-03
## [1936] 1.048187e-01 1.261279e-01 1.186716e+00 6.080173e+00 7.257108e-01
## [1941] 3.202968e-01 1.120489e-01 7.392406e-01 1.824521e-02 1.807470e+00
## [1946] 4.385435e+00 7.866702e+01 3.804309e+00 3.594955e+00 6.219831e-01
## [1951] 7.392406e-01 1.824521e-02 4.980076e+00 3.927276e+00 3.703533e-01
## [1956] 3.774517e-01 1.595403e+00 2.574948e-02 2.361799e+00 2.990882e-02
## [1961] 1.102588e+01 2.020113e+00 1.141598e-01 3.803674e-01 6.031645e-02
## [1966] 4.081242e-01 1.036149e+00 8.011385e-02 2.314122e-01 6.349547e-01
## [1971] 2.153629e+00 1.000758e-01 1.401842e+00 1.553649e-01 2.236293e-01
## [1976] 3.651612e-02 1.553649e-01 9.119037e-01 1.157599e-02 2.437048e-01
## [1981] 2.251263e+00 3.044233e-01 1.036149e+00 8.011385e-02 7.138392e-03
## [1986] 1.372689e+00 2.032522e-01 9.546760e-01 2.400868e+00 6.731670e-03
## [1991] 7.973954e-01 2.423263e+00 8.186099e-01 2.281236e-01 6.219831e-01
## [1996] 2.834379e-02 7.528957e-01 7.646134e-02 2.834379e-02 4.081242e-01
## [2001] 1.518229e+00 5.803271e-01 1.987374e-03 2.834379e-02 6.349547e-01
## [2006] 1.421299e+00 2.757992e+00 3.215869e+00 6.349547e-01 1.421299e+00
## [2011] 1.742146e+00 3.138501e+00 2.834379e-02 6.349547e-01 1.618506e-01
## [2016] 2.314122e-01 1.375343e-01 6.603943e-01 1.048187e-01 2.314122e-01
## [2021] 4.924510e-01 8.261159e-02 6.031645e-02 9.119037e-01 1.349964e+00
## [2026] 1.335042e-02 2.236293e-01 2.834379e-02 2.236293e-01 3.651612e-02
## [2031] 7.427752e+00 4.509425e+00 2.261350e-01 1.444021e+00 3.044233e-01
## [2036] 1.881717e-01 2.834379e-02 9.119037e-01 1.036149e+00 8.011385e-02
## [2041] 5.477993e-03 5.616431e-01 9.119037e-01 1.238971e+00 2.834379e-02
## [2046] 6.349547e-01 9.963010e-02 6.349547e-01 3.135034e-01 5.152746e-01
## [2051] 5.331988e+00 1.028124e-02 1.220811e+00 3.402492e-01 2.531347e-01
## [2056] 7.181255e-01 6.349547e-01 2.757992e+00 1.906303e-02 1.261279e-01
## [2061] 6.476118e-01 2.357795e+00 8.963378e-01 5.642498e-02 1.204205e-01
## [2066] 1.618506e-01 2.494942e+00 3.977469e-01 2.251263e+00 2.251263e+00
## [2071] 1.797249e+00 1.681158e+00 7.603610e-03 3.373595e-02 1.906303e-02
## [2076] 1.261279e-01 1.204205e-01 1.618506e-01 1.261279e-01 1.186716e+00
## [2081] 7.646134e-02 4.818139e-01 1.987374e-03 6.349547e-01 3.044051e-02
## [2086] 1.046401e+00 6.349547e-01 1.517442e-02 7.671644e-01 8.900768e-03
## [2091] 1.048187e-01 8.097839e+00 3.589139e-01 1.931162e+00 1.023041e-02
## [2096] 8.900768e-03 4.928422e-01 1.459999e+01 7.558177e+00 5.420061e+00
## [2101] 5.779219e-01 3.541147e+00 9.204279e-02 1.220811e+00 1.987374e-03
## [2106] 4.106336e+00 3.804309e+00 2.646649e+00 3.752373e-02 3.019889e+00
## [2111] 1.801493e+00 7.392406e-01 1.824521e-02 3.977469e-01 8.900768e-03
## [2116] 9.821384e-01 3.764823e-01 1.553649e-01 1.048187e-01 4.929168e-01
## [2121] 1.790025e-01 6.219831e-01 9.963010e-02 4.336823e-01 6.630540e-02
## [2126] 1.931162e+00 1.023041e-02 5.924285e-01 8.908859e-01 7.138392e-03
## [2131] 1.372689e+00 1.048187e-01 3.135034e-01 4.081242e-01 1.616157e+00
## [2136] 3.056439e+00 5.620864e+00 6.219831e-01 7.603610e-03 6.031645e-02
## [2141] 3.047304e-01 1.478441e+00 2.089740e-01 4.285519e-01 2.236293e-01
## [2146] 2.834379e-02 1.256015e+00 2.236293e-01 1.298921e+00 5.291955e-02
## [2151] 3.901282e+00 9.963010e-02 1.730017e+00 8.854364e-03 1.298921e+00
## [2156] 5.291955e-02 4.597553e-01 4.081242e-01 6.080173e+00 2.236293e-01
## [2161] 9.821384e-01 3.117388e-01 1.931162e+00 1.680154e-01 2.708916e-01
## [2166] 1.013658e+00 7.220347e-02 1.987374e-03 9.119037e-01 1.616157e+00
## [2171] 9.821384e-01 3.764823e-01 6.080173e+00 7.257108e-01 6.031645e-02
## [2176] 4.081242e-01 5.642498e-02 2.909543e-01 6.219831e-01 1.553649e-01
## [2181] 3.044233e-01 1.253096e+00 2.313571e-01 4.429813e-01 6.219831e-01
## [2186] 1.987374e-03 8.505307e-01 2.421346e-03 7.566359e+00 2.111793e-02
## [2191] 7.603610e-03 6.031645e-02 1.337056e+00 1.104065e-02 1.220811e+00
## [2196] 2.574948e-02 8.084450e-02 1.048187e-01 2.251263e+00 3.044233e-01
## [2201] 4.928751e-02 1.048187e-01 1.718285e+00 2.699824e+00 3.594955e+00
## [2206] 1.684539e+00 3.004819e+00 5.152746e-01 1.310399e+00 3.047304e-01
## [2211] 1.478441e+00 1.210213e+01 1.220811e+00 7.603610e-03 1.048187e-01
## [2216] 1.976107e-01 3.135034e-01 2.494942e+00 1.618506e-01 7.257108e-01
## [2221] 1.987374e-03 4.081242e-01 7.671644e-01 1.517442e-02 7.671644e-01
## [2226] 2.494942e+00 1.618506e-01 4.220139e+00 2.020113e+00 4.000934e-01
## [2231] 1.697609e+00 1.085008e+00 2.872621e-01 4.385847e-01 4.928751e-02
## [2236] 1.220811e+00 2.574948e-02 1.401842e+00 1.142147e-02 5.420061e+00
## [2241] 5.779219e-01 4.385847e-01 4.928751e-02 8.084450e-02 3.687723e-01
## [2246] 7.392406e-01 1.824521e-02 2.669352e+00 9.815116e-01 3.977469e-01
## [2251] 2.730313e-03 3.347323e+00 6.018165e-02 4.597553e-01 6.821453e-02
## [2256] 2.236293e-01 1.987374e-03 2.212009e-01 1.520711e+00 2.236293e-01
## [2261] 2.964485e-02 1.298921e+00 5.291955e-02 2.698907e+00 6.219831e-01
## [2266] 3.019889e+00 4.385847e-01 3.733698e+00 9.353467e-02 5.036002e-01
## [2271] 7.392406e-01 1.824521e-02 4.451972e+00 2.465518e-01 3.649474e-01
## [2276] 7.392406e-01 1.824521e-02 2.236293e-01 3.651612e-02 1.987374e-03
## [2281] 6.349547e-01 2.519999e+00 6.888739e-02 2.371536e+00 1.226097e-01
## [2286] 2.371536e+00 1.226097e-01 1.338520e+00 9.194779e-02 6.184654e+00
## [2291] 3.330992e+00 2.530118e+00 1.462418e+00 2.783214e-02 7.392406e-01
## [2296] 1.824521e-02 1.220811e+00 2.834379e-02 7.419616e-01 1.434255e-01
## [2301] 5.320580e-02 1.577773e+00 1.179021e-01 1.028681e+00 6.358656e+00
## [2306] 4.980076e+00 9.491591e-02 9.733077e-01 3.061670e-01 7.404140e-02
## [2311] 2.236293e-01 1.987374e-03 9.119037e-01 1.421299e+00 1.048187e-01
## [2316] 4.106336e+00 3.804309e+00 3.047304e-01 1.478441e+00 1.618506e-01
## [2321] 1.069173e+00 1.238971e+00 1.616157e+00 3.019889e+00 2.574948e-02
## [2326] 5.152746e-01 1.238971e+00 1.987374e-03 7.671644e-01 7.460524e-01
## [2331] 4.684976e-03 1.987374e-03 2.314122e-01 1.987374e-03 4.081242e-01
## [2336] 6.219831e-01 2.345282e-02 1.595403e+00 1.553649e-01 1.987374e-03
## [2341] 2.314122e-01 8.262380e-01 1.275151e-01 1.553649e-01 6.031645e-02
## [2346] 6.349547e-01 1.421299e+00 9.963010e-02 1.028124e-02 7.392406e-01
## [2351] 1.824521e-02 2.770081e+00 9.821384e-01 9.963010e-02 6.349547e-01
## [2356] 4.840095e-01 1.176400e+00 1.048187e-01 1.650976e+00 6.191602e-01
## [2361] 1.221253e+00 5.628747e+00 2.143713e-03 1.138367e+00 8.900768e-03
## [2366] 4.341489e+00 3.737436e+00 1.152227e-01 4.081242e-01 3.044233e-01
## [2371] 2.520885e+00 8.963378e-01 4.494808e-01 1.238971e+00 2.066143e+00
## [2376] 2.494942e+00 1.361665e-01 1.052310e+00 3.853560e-03 2.252618e+01
## [2381] 1.063034e+01 5.152746e-01 1.421299e+00 2.043462e+00 2.323902e+00
## [2386] 6.728446e-01 8.551426e-02 3.202968e-01 1.120489e-01 7.392406e-01
## [2391] 1.824521e-02 4.106336e+00 3.804309e+00 6.885785e+00 6.728446e-01
## [2396] 4.395094e+00 8.097839e+00 3.589139e-01 2.834379e-02 4.081242e-01
## [2401] 3.977469e-01 9.963010e-02 2.236293e-01 3.651612e-02 1.987374e-03
## [2406] 1.618506e-01 2.834379e-02 5.152746e-01 9.119037e-01 1.497739e+00
## [2411] 8.900768e-03 3.135034e-01 8.900768e-03 1.048187e-01 7.392406e-01
## [2416] 1.824521e-02 1.987374e-03 6.031645e-02 2.371536e+00 1.226097e-01
## [2421] 8.052860e+00 3.570990e+00 1.401842e+00 1.142147e-02 3.977469e-01
## [2426] 9.963010e-02 3.202968e-01 1.120489e-01 1.238971e+00 1.616157e+00
## [2431] 7.392406e-01 3.430273e-02 7.392406e-01 1.824521e-02 3.047304e-01
## [2436] 1.478441e+00 6.515719e-03 7.127770e-01 4.471033e-03 8.908859e-01
## [2441] 2.857143e+00 5.494498e-01 2.834379e-02 2.314122e-01 1.069173e+00
## [2446] 1.274435e+00 7.973954e-01 2.423263e+00 7.603610e-03 1.075724e+00
## [2451] 2.519999e+00 6.888739e-02 8.982071e+00 5.383509e+00 1.492276e-01
## [2456] 3.498481e-01 6.031645e-02 9.119037e-01 3.189392e+01 1.692138e+01
## [2461] 6.031645e-02 9.119037e-01 2.565297e+00 3.485114e+00 3.019889e+00
## [2466] 1.401842e+00 1.462418e+00 2.783214e-02 7.419616e-01 1.434255e-01
## [2471] 9.023735e+00 9.572230e-01 1.007375e+00 1.744744e-02 4.768077e-03
## [2476] 4.752570e-01 6.316594e+00 1.906303e-02 1.618506e-01 1.069173e+00
## [2481] 1.462418e+00 2.783214e-02 5.852091e+00 6.819514e-01 1.517442e-02
## [2486] 7.671644e-01 3.044233e-01 1.253096e+00 8.345660e-01 1.857958e-02
## [2491] 5.852091e+00 6.819514e-01 1.381048e+01 6.219831e-01 2.079007e+00
## [2496] 9.556455e-01 3.135034e-01 9.119037e-01 1.226097e-01 9.299548e-02
## [2501] 5.152746e-01 1.616157e+00 2.647164e+00 1.774027e-01 2.020113e+00
## [2506] 1.705608e-02 1.929340e+02 8.097839e+00 7.257108e-01 2.236293e-01
## [2511] 2.574948e-02 4.726983e-01 9.648614e-02 1.420634e+00 3.151895e-02
## [2516] 1.517442e-02 7.671644e-01 7.930526e+00 1.177683e+00 2.536605e+00
## [2521] 1.386266e-02 3.019889e+00 2.574948e-02 7.123063e-01 6.807090e-02
## [2526] 2.236293e-01 3.651612e-02 8.900768e-03 3.135034e-01 2.296317e-01
## [2531] 3.487453e-02 2.883643e-03 9.921199e-01 9.889720e-01 1.931937e+00
## [2536] 1.529243e-02 5.232444e-01 3.047304e-01 1.478441e+00 6.316594e+00
## [2541] 1.906303e-02 3.097722e-02 2.535316e-01 1.136302e-01 6.758986e-01
## [2546] 4.491074e-01 2.834379e-02 3.927276e+00 3.927276e+00 6.860731e-01
## [2551] 1.746396e+00 8.900768e-03 1.048187e-01 7.671644e-01 1.238971e+00
## [2556] 7.392406e-01 1.824521e-02 2.314122e-01 6.349547e-01 3.977469e-01
## [2561] 9.963010e-02 7.603610e-03 1.048187e-01 3.047304e-01 1.478441e+00
## [2566] 7.392406e-01 1.824521e-02 9.963010e-02 2.314122e-01 1.555688e+00
## [2571] 9.491591e-02 5.843036e+00 4.980076e+00 4.385847e-01 4.928751e-02
## [2576] 2.465518e-01 3.649474e-01 1.357252e+00 1.215126e-01 2.954249e+00
## [2581] 6.021999e-01 3.044233e-01 3.249176e-03 4.726983e-01 2.359843e-01
## [2586] 1.648058e-01 4.775495e-02 2.878582e+00 4.705286e-01 1.550011e+00
## [2591] 1.016619e-02 9.963010e-02 2.834379e-02 7.603610e-03 1.618506e-01
## [2596] 9.963010e-02 2.834379e-02 1.999758e-03 2.238922e-01 1.680154e-01
## [2601] 2.730313e-03 6.219831e-01 3.047304e-01 1.478441e+00 8.982071e+00
## [2606] 5.383509e+00 1.401842e+00 1.288239e-01 4.632736e+00 3.927276e+00
## [2611] 4.081242e-01 1.069173e+00 3.724060e+00 3.771970e+00 2.251263e+00
## [2616] 5.034208e-01 2.834379e-02 6.349547e-01 1.013734e+00 2.281236e-01
## [2621] 8.900768e-03 9.119037e-01 1.271543e+01 2.509961e+00 2.519999e+00
## [2626] 6.888739e-02 3.145976e+00 1.627414e+00 4.471033e-03 8.908859e-01
## [2631] 3.044233e-01 8.900768e-03 7.558177e+00 4.980076e+00 5.383509e+00
## [2636] 3.818951e+00 3.135034e-01 9.119037e-01 5.036002e-01 1.478441e+00
## [2641] 7.603610e-03 1.075724e+00 3.044233e-01 8.900768e-03 2.068234e-02
## [2646] 8.189394e-02 2.834379e-02 1.048187e-01 6.349547e-01 4.792015e-02
## [2651] 1.494419e-01 1.401842e+00 3.694053e-01 7.694472e-01 4.995193e-01
## [2656] 3.047304e-01 1.478441e+00 5.382083e-01 9.733077e-01 1.085897e+00
## [2661] 6.093252e-01 2.757992e+00 3.215869e+00 6.348458e+00 2.155853e-02
## [2666] 1.906303e-02 1.261279e-01 1.474108e-01 1.398757e-01 1.462418e+00
## [2671] 2.783214e-02 2.236293e-01 3.651612e-02 3.130893e+00 3.220856e-01
## [2676] 3.044233e-01 1.253096e+00 1.152227e-01 7.671644e-01 1.553649e-01
## [2681] 2.314122e-01 4.980076e+00 3.927276e+00 3.704540e+00 1.048187e-01
## [2686] 5.152746e-01 1.684539e+00 2.468281e-01 3.475932e+00 4.276392e-02
## [2691] 4.288265e-03 5.325662e-01 1.085008e+00 2.872621e-01 3.977469e-01
## [2696] 8.900768e-03 7.603610e-03 6.031645e-02 1.439552e+00 2.574948e-02
## [2701] 1.238971e+00 1.616157e+00 5.924285e-01 1.936765e-01 1.595403e+00
## [2706] 5.262744e-01 2.465518e-01 1.375343e-01 8.963378e-01 2.314122e-01
## [2711] 1.381048e+01 2.251263e+00 1.401842e+00 1.553649e-01 2.187702e+01
## [2716] 1.435687e+01 8.874783e-02 5.080417e-01 8.963378e-01 2.565806e-03
## [2721] 3.877867e-03 3.592476e-01 2.020113e+00 4.393838e-02 6.659482e-02
## [2726] 5.569160e-01 1.823545e+00 2.275909e+00 1.759273e+00 1.680154e-01
## [2731] 5.942029e-02 1.340598e-01 2.296317e-01 3.487453e-02 1.290762e+00
## [2736] 3.532263e+00 3.202968e-01 1.120489e-01 3.047304e-01 1.478441e+00
## [2741] 8.900768e-03 6.031645e-02 1.387025e-01 1.314023e+00 1.069173e+00
## [2746] 1.421299e+00 6.358656e+00 4.980076e+00 8.097839e+00 7.257108e-01
## [2751] 8.998671e-02 3.961081e-01 3.047304e-01 1.478441e+00 8.084450e-02
## [2756] 1.048187e-01 1.420634e+00 3.151895e-02 1.987374e-03 2.834379e-02
## [2761] 1.439552e+00 3.651612e-02 6.219831e-01 1.987374e-03 5.036002e-01
## [2766] 2.574948e-02 5.477993e-03 1.169548e+00 2.574948e-02 8.900768e-03
## [2771] 1.993217e+00 4.736288e-02 8.052860e+00 3.570990e+00 2.314122e-01
## [2776] 6.349547e-01 7.392406e-01 1.824521e-02 1.595403e+00 2.236293e-01
## [2781] 4.928751e-02 1.048187e-01 8.998671e-02 8.819535e-01 7.505528e+00
## [2786] 2.992223e-01 8.900768e-03 1.048187e-01 9.963010e-02 2.314122e-01
## [2791] 8.963378e-01 5.291955e-02 1.123891e-01 3.359839e-01 5.291955e-02
## [2796] 5.382083e-01 5.036002e-01 1.906303e-02 3.202968e-01 1.120489e-01
## [2801] 4.836219e-01 3.014663e-03 3.977469e-01 2.314122e-01 2.020113e+00
## [2806] 1.421871e-02 9.572230e-01 9.963010e-02 4.902362e-01 8.376650e-02
## [2811] 7.392406e-01 1.824521e-02 1.432155e-01 6.821453e-02 3.215869e+00
## [2816] 2.730313e-03 9.714014e-03 1.052882e+00 3.047304e-01 1.478441e+00
## [2821] 2.565297e+00 3.215869e+00 6.219831e-01 2.574948e-02 1.718285e+00
## [2826] 2.699824e+00 3.347323e+00 1.838575e-01 1.291720e+00 2.974580e-01
## [2831] 2.494942e+00 3.977469e-01 2.131040e+00 4.505049e+00 3.979235e-03
## [2836] 7.566359e+00 2.111793e-02 7.392406e-01 1.824521e-02 6.316594e+00
## [2841] 1.906303e-02 2.361799e+00 2.990882e-02 7.671644e-01 1.238971e+00
## [2846] 9.980467e-02 3.881976e-01 9.950318e-01 5.751293e-01 6.219831e-01
## [2851] 2.834379e-02 1.462418e+00 2.783214e-02 1.401842e+00 1.142147e-02
## [2856] 2.494942e+00 1.680154e-01 1.238971e+00 1.734181e+00 8.132629e-03
## [2861] 2.395967e+00 2.367682e-03 1.157599e-02 2.437048e-01 3.047304e-01
## [2866] 1.478441e+00 3.044233e-01 2.276365e-01 1.085008e+00 2.872621e-01
## [2871] 5.620864e+00 6.219831e-01 1.595403e+00 5.262744e-01 4.385847e-01
## [2876] 4.928751e-02 1.401842e+00 3.463961e-03 4.385847e-01 4.928751e-02
## [2881] 3.047304e-01 1.478441e+00 2.131040e+00 2.574948e-02 2.834379e-02
## [2886] 3.288404e-02 1.154136e+00 7.392406e-01 1.824521e-02 1.069173e+00
## [2891] 1.823545e+00 3.373595e-02 1.046401e+00 2.400868e+00 6.731670e-03
## [2896] 6.219831e-01 8.900768e-03 1.595403e+00 2.872621e-01 3.565011e+00
## [2901] 6.888739e-02 5.288222e+00 5.791261e-02 1.462418e+00 2.783214e-02
## [2906] 1.801493e+00 6.031645e-02 4.081242e-01 1.421299e+00 2.236293e-01
## [2911] 1.178700e-02 3.726656e+00 3.771970e+00 1.823545e+00 2.275909e+00
## [2916] 2.911735e-02 1.048187e-01 1.860143e+02 8.998671e-02 3.961081e-01
## [2921] 1.420634e+00 3.151895e-02 5.940486e+00 1.408458e-01 4.336823e-01
## [2926] 6.558470e-02 1.315674e-01 2.574948e-02 2.931663e+00 3.993450e-03
## [2931] 6.031645e-02 1.616157e+00 8.084450e-02 1.048187e-01 6.098851e-03
## [2936] 2.798305e-01 1.466247e+00 7.404140e-02 1.210213e+01 2.251263e+00
## [2941] 8.505307e-01 2.421346e-03 3.764823e-01 1.536711e+00 1.093880e+01
## [2946] 5.287494e+00 9.119037e-01 9.119037e-01 1.102130e+00 4.081242e-01
## [2951] 9.119037e-01 4.081242e-01 1.616157e+00 2.757992e+00 3.215869e+00
## [2956] 9.119037e-01 1.421299e+00 2.647164e+00 3.651612e-02 3.135034e-01
## [2961] 1.069173e+00 4.928751e-02 1.048187e-01 1.093880e+01 5.287494e+00
## [2966] 6.731670e-03 1.250149e-01 1.375343e-01 7.671644e-01 7.782824e-01
## [2971] 1.036717e+00 1.536711e+00 2.043462e+00 5.291955e-02 5.382083e-01
## [2976] 7.505528e+00 2.992223e-01 1.987374e-03 5.960257e-01 2.371536e+00
## [2981] 1.226097e-01 5.924285e-01 1.936765e-01 1.390817e-01 3.332449e-01
## [2986] 3.044233e-01 1.494419e-01 3.097722e-02 4.081242e-01 2.574948e-02
## [2991] 1.048187e-01 4.220139e+00 6.219831e-01 7.558177e+00 4.106336e+00
## [2996] 2.400868e+00 6.731670e-03 1.220811e+00 1.553649e-01 1.553649e-01
## [3001] 1.987374e-03 8.900768e-03 1.048187e-01 3.047304e-01 1.478441e+00
## [3006] 1.987374e-03 6.031645e-02 1.987374e-03 1.069173e+00 8.963378e-01
## [3011] 9.963010e-02 2.574948e-02 4.494808e-01 3.135034e-01 4.081242e-01
## [3016] 1.220811e+00 3.044233e-01 2.624601e-01 6.031645e-02 8.519896e-01
## [3021] 5.642498e-02 3.330992e+00 6.515719e-03 7.951099e-01 1.401842e+00
## [3026] 1.142147e-02 5.620864e+00 8.819535e-01 1.036717e+00 7.666760e-01
## [3031] 8.100139e-02 3.047304e-01 1.478441e+00 2.236293e-01 7.392406e-01
## [3036] 1.824521e-02 6.928985e-01 1.421299e+00 2.646649e+00 3.752373e-02
## [3041] 1.085008e+00 2.872621e-01 9.963010e-02 2.314122e-01 7.489386e-02
## [3046] 1.102130e+00 1.421299e+00 1.718285e+00 4.632736e+00 3.804309e+00
## [3051] 5.620864e+00 2.574948e-02 1.906303e-02 1.261279e-01 2.574948e-02
## [3056] 2.834379e-02 3.301157e+00 3.853560e-03 1.517442e-02 1.460933e-01
## [3061] 1.595403e+00 3.853560e-03 1.383175e+00 1.387025e-01 3.047304e-01
## [3066] 1.478441e+00 8.900768e-03 3.135034e-01 1.504809e+00 7.220652e-03
## [3071] 2.834379e-02 1.494419e-01 5.642498e-02 1.375343e-01 8.666470e-01
## [3076] 3.592476e-01 2.834379e-02 4.081242e-01 3.202968e-01 1.120489e-01
## [3081] 1.210213e+01 5.620864e+00 5.291955e-02 5.382083e-01 1.020113e+00
## [3086] 5.477993e-03 7.528957e-01 1.511034e-02 2.751151e+00 1.948199e-01
## [3091] 7.603610e-03 4.227200e-01 3.780798e-01 4.602383e-02 2.314122e-01
## [3096] 4.081242e-01 7.392406e-01 1.824521e-02 6.349547e-01 1.421299e+00
## [3101] 2.465518e-01 3.649474e-01 3.726656e+00 3.771970e+00 1.046397e-01
## [3106] 2.535316e-01 1.048187e-01 6.349547e-01 9.745631e-01 3.978960e+00
## [3111] 1.226097e-01 9.299548e-02 6.478153e-03 9.180540e-02 4.000934e-01
## [3116] 1.697609e+00 3.047304e-01 1.478441e+00 2.834379e-02 6.349547e-01
## [3121] 4.385847e-01 3.816919e-02 1.401842e+00 3.977469e-01 8.230505e-01
## [3126] 1.304302e-01 6.031645e-02 1.616157e+00 2.698907e+00 3.044233e-01
## [3131] 3.651612e-02 3.881976e-01 1.401842e+00 1.142147e-02 4.471033e-03
## [3136] 8.908859e-01 9.119037e-01 1.616157e+00 8.444124e-02 5.107480e-01
## [3141] 1.887438e+00 1.007414e-01 3.921635e+00 1.379949e+00 7.603610e-03
## [3146] 1.048187e-01 5.152746e-01 1.616157e+00 2.834379e-02 2.314122e-01
## [3151] 3.135034e-01 1.069173e+00 3.019889e+00 1.759273e+00 7.392406e-01
## [3156] 1.824521e-02 8.097839e+00 7.257108e-01 2.236293e-01 5.642498e-02
## [3161] 3.202968e-01 7.482859e-02 7.782824e-01 1.036717e+00 5.420061e+00
## [3166] 5.779219e-01 7.220347e-02 1.987374e-03 2.164975e-01 5.960257e-01
## [3171] 1.553649e-01 1.618506e-01 7.653686e+00 1.097747e-01 2.236293e-01
## [3176] 4.602383e-02 3.301157e+00 1.204205e-01 9.692755e-03 4.770011e-01
## [3181] 2.981557e-02 8.369408e-02 7.661381e-02 3.498481e-01 5.152746e-01
## [3186] 1.421299e+00 8.490731e-01 3.373595e-02 1.529243e-02 5.232444e-01
## [3191] 2.042664e+00 1.787313e-01 7.694472e-01 4.995193e-01 1.310399e+00
## [3196] 2.164975e-01 1.310399e+00 1.049639e+00 2.575699e+00 1.310399e+00
## [3201] 1.697609e+00 2.552048e+00 2.912898e+00 3.932604e+00 7.805817e-01
## [3206] 6.937505e-01 5.312755e-01 2.435809e+00 2.792753e+00 5.477993e-03
## [3211] 5.855791e-01 2.834379e-02 6.349547e-01 8.819535e-01 1.036717e+00
## [3216] 1.516475e+00 5.291955e-02 2.236293e-01 2.834379e-02 1.553649e-01
## [3221] 7.603610e-03 4.494836e+00 8.262380e-01 1.275151e-01 3.881976e-01
## [3226] 5.382083e-01 1.261279e-01 1.186716e+00 3.804309e+00 3.771970e+00
## [3231] 6.928985e-01 1.421299e+00 1.931162e+00 1.680154e-01 4.385847e-01
## [3236] 8.525044e-01 5.036002e-01 1.618506e-01 7.392406e-01 1.824521e-02
## [3241] 8.011385e-02 1.186716e+00 6.832574e-01 4.315224e-03 1.553649e-01
## [3246] 6.031645e-02 1.931162e+00 1.680154e-01 1.975387e+00 5.291955e-02
## [3251] 2.323902e+00 3.273477e+00 1.680154e-01 2.512343e-01 7.392406e-01
## [3256] 3.430273e-02 2.834379e-02 7.671644e-01 2.020113e+00 1.335840e-02
## [3261] 5.642498e-02 5.291955e-02 1.595403e+00 5.262744e-01 3.734309e+00
## [3266] 1.320645e+00 7.646134e-02 4.818139e-01 1.287337e-01 1.152506e+00
## [3271] 6.094803e-02 1.789521e+00 4.385847e-01 4.928751e-02 8.900768e-03
## [3276] 1.048187e-01 1.462418e+00 2.783214e-02 3.202968e-01 1.120489e-01
## [3281] 8.246250e+00 3.459429e+00 4.285414e+00 2.387857e-01 8.262380e-01
## [3286] 1.275151e-01 1.401842e+00 8.084450e-02 4.259244e+00 1.940565e-02
## [3291] 6.219831e-01 2.834379e-02 4.469512e+00 1.170313e+00 2.018343e-01
## [3296] 6.349547e-01 7.505528e+00 2.992223e-01 2.400868e+00 6.731670e-03
## [3301] 7.558177e+00 5.843036e+00 3.044233e-01 4.149503e-02 7.666760e-01
## [3306] 8.100139e-02 1.819274e+00 2.797415e+00 2.465518e-01 3.649474e-01
## [3311] 4.385847e-01 4.928751e-02 3.088221e-02 1.881717e-01 2.361799e+00
## [3316] 2.990882e-02 8.900768e-03 4.928422e-01 6.219831e-01 2.574948e-02
## [3321] 7.419616e-01 1.434255e-01 4.136031e+00 2.245477e-02 2.236293e-01
## [3326] 2.834379e-02 1.931162e+00 1.680154e-01 1.618506e-01 1.823545e+00
## [3331] 1.595403e+00 1.553649e-01 1.048187e-01 6.349547e-01 2.646649e+00
## [3336] 3.752373e-02 2.706021e-01 2.020840e-01 2.647164e+00 1.208567e-01
## [3341] 6.418038e+00 1.978946e+00 1.069173e+00 1.616157e+00 6.031645e-02
## [3346] 1.618506e-01 2.647164e+00 1.208567e-01 6.031645e-02 4.494808e-01
## [3351] 1.420634e+00 3.151895e-02 1.324407e+00 2.520885e+00 1.510636e+00
## [3356] 2.311448e-01 9.119037e-01 1.616157e+00 5.973042e-01 2.111793e-02
## [3361] 9.999749e+00 1.238971e+00 2.020113e+00 2.574948e-02 8.900768e-03
## [3366] 3.135034e-01 4.601332e-01 7.194657e-01 1.432155e-01 5.382083e-01
## [3371] 3.920061e+00 2.788695e-01 2.494942e+00 1.401842e+00 1.474108e-01
## [3376] 1.398757e-01 4.487598e+00 4.770527e-01 5.620864e+00 6.219831e-01
## [3381] 1.717097e+00 2.834379e-02 1.069173e+00 7.392406e-01 1.824521e-02
## [3386] 4.471033e-03 8.908859e-01 2.834379e-02 7.671644e-01 7.392406e-01
## [3391] 3.430273e-02 8.444124e-02 5.107480e-01 7.666760e-01 8.100139e-02
## [3396] 4.471033e-03 8.908859e-01 2.371536e+00 1.226097e-01 4.385847e-01
## [3401] 3.816919e-02 8.444124e-02 5.107480e-01 1.991834e-03 2.840184e-01
## [3406] 2.236293e-01 3.651612e-02 1.462418e+00 2.783214e-02 4.471033e-03
## [3411] 8.908859e-01 1.553649e-01 2.314122e-01 4.471033e-03 8.908859e-01
## [3416] 8.444124e-02 5.107480e-01 1.618506e-01 6.349547e-01 5.924285e-01
## [3421] 5.107480e-01 3.047304e-01 1.478441e+00 1.999758e-03 2.238922e-01
## [3426] 2.706021e-01 2.834379e-02 7.646134e-02 4.818139e-01 1.553649e-01
## [3431] 1.618506e-01 1.975387e+00 2.367682e-03 1.261279e-01 1.186716e+00
## [3436] 3.044233e-01 2.020840e-01 6.937505e-01 5.312755e-01 2.465518e-01
## [3441] 1.375343e-01 3.220856e-01 3.962930e-02 3.044233e-01 2.020840e-01
## [3446] 5.262744e-01 1.666972e-02 7.528957e-01 1.987374e-03 2.834379e-02
## [3451] 3.687723e-01 3.373595e-02 1.046401e+00 3.273477e+00 1.048187e-01
## [3456] 8.739528e-01 1.462418e+00 2.783214e-02 1.401842e+00 1.142147e-02
## [3461] 1.298921e+00 5.291955e-02 2.236293e-01 5.642498e-02 2.347231e+00
## [3466] 2.556799e-01 8.900768e-03 1.048187e-01 7.392406e-01 3.430273e-02
## [3471] 5.420061e+00 5.779219e-01 1.226097e-01 9.299548e-02 6.358656e+00
## [3476] 4.632736e+00 7.392406e-01 3.430273e-02 9.889720e-01 1.931937e+00
## [3481] 2.204030e+00 1.335840e-02 1.529243e-02 5.232444e-01 5.291955e-02
## [3486] 8.938734e-01 3.726656e+00 3.771970e+00 2.574948e-02 1.464118e+00
## [3491] 2.261350e-01 1.444021e+00 4.285414e+00 2.387857e-01 4.259244e+00
## [3496] 1.940565e-02 6.827760e+00 9.023361e-01 1.811671e-01 4.081242e-01
## [3501] 3.044233e-01 1.253096e+00 1.823545e+00 2.275909e+00 2.494942e+00
## [3506] 2.574948e-02 2.738940e-01 1.992615e-01 6.349547e-01 1.421299e+00
## [3511] 3.044233e-01 8.900768e-03 1.987374e-03 9.491591e-02 6.100163e-01
## [3516] 9.963010e-02 1.048187e-01 1.102951e-01 1.695365e-01 6.031645e-02
## [3521] 4.081242e-01 3.402492e-01 1.261279e-01 1.811671e-01 4.081242e-01
## [3526] 3.962930e-02 8.525044e-01 6.219831e-01 2.574948e-02 3.962930e-02
## [3531] 8.525044e-01 2.834379e-02 2.314122e-01 2.079007e+00 1.734470e-01
## [3536] 3.044233e-01 2.730313e-03 3.962930e-02 8.525044e-01 4.756372e+00
## [3541] 2.574948e-02 7.974236e-01 2.423263e+00 1.290762e+00 1.483229e+00
## [3546] 3.927832e-01 8.900768e-03 1.420634e+00 3.151895e-02 1.048187e-01
## [3551] 7.671644e-01 1.093880e+01 6.418038e+00 2.595922e+00 2.834379e-02
## [3556] 1.317867e+01 8.742272e+00 2.371536e+00 1.226097e-01 9.889720e-01
## [3561] 1.931937e+00 6.515719e-03 4.494808e-01 7.392406e-01 1.824521e-02
## [3566] 3.962930e-02 8.525044e-01 3.777248e+00 6.807090e-02 1.823545e+00
## [3571] 2.778391e+00 2.236293e-01 1.987374e-03 1.432155e-01 3.373595e-02
## [3576] 9.821384e-01 1.734470e-01 2.371536e+00 1.226097e-01 3.927832e-01
## [3581] 2.435025e-01 3.977469e-01 2.834379e-02 1.548987e+00 2.668476e-03
## [3586] 2.834379e-02 2.313571e-01 4.429813e-01 1.220811e+00 9.963010e-02
## [3591] 8.998671e-02 3.961081e-01 2.313571e-01 4.429813e-01 2.361799e+00
## [3596] 2.990882e-02 1.751920e+00 2.146798e+00 7.666760e-01 8.100139e-02
## [3601] 1.421299e+00 1.823545e+00 2.164975e-01 1.310399e+00 2.574948e-02
## [3606] 8.900768e-03 1.807470e+00 2.211306e+00 1.931162e+00 1.023041e-02
## [3611] 7.392406e-01 3.430273e-02 7.392406e-01 1.824521e-02 2.574948e-02
## [3616] 2.314122e-01 2.698907e+00 6.219831e-01 1.516475e+00 5.291955e-02
## [3621] 1.730017e+00 8.854364e-03 2.131040e+00 7.951099e-01 1.172972e+00
## [3626] 3.977469e-01 2.834379e-02 5.973042e-01 3.651612e-02 4.980076e+00
## [3631] 3.927276e+00 8.374574e-01 4.182754e-01 2.020113e+00 1.954538e+00
## [3636] 7.671644e-01 1.169548e+00 1.238971e+00 1.616157e+00 7.603610e-03
## [3641] 1.048187e-01 8.998671e-02 3.961081e-01 3.977469e-01 1.987374e-03
## [3646] 6.913301e-03 2.483972e-01 1.715895e+00 6.725942e-02 1.023041e-02
## [3651] 5.152746e-01 4.597553e-01 1.517442e-02 3.977469e-01 2.834379e-02
## [3656] 3.453085e-02 2.373648e-01 7.662608e-01 1.192034e-02 1.595403e+00
## [3661] 1.553649e-01 9.143929e-01 6.031645e-02 3.301157e+00 3.853560e-03
## [3666] 3.019889e+00 9.963010e-02 5.152746e-01 1.823545e+00 1.529243e-02
## [3671] 5.232444e-01 1.401842e+00 1.142147e-02 1.987374e-03 1.618506e-01
## [3676] 6.031645e-02 6.349547e-01 6.349547e-01 2.088949e+00 3.991906e+00
## [3681] 3.724060e+00 4.980076e+00 4.341489e+00 4.586549e+00 2.131040e+00
## [3686] 1.401842e+00 1.142147e-02 1.147583e-02 9.392874e-01 3.202968e-01
## [3691] 1.120489e-01 1.811671e-01 4.081242e-01 2.834379e-02 6.349547e-01
## [3696] 8.900768e-03 3.135034e-01 4.726983e-01 2.359843e-01 7.951099e-01
## [3701] 1.172972e+00 4.928751e-02 1.048187e-01 3.977469e-01 2.834379e-02
## [3706] 1.344305e+00 7.505528e+00 2.992223e-01 2.236293e-01 2.314122e-01
## [3711] 7.974236e-01 2.423263e+00 1.987374e-03 1.048187e-01 2.111069e+00
## [3716] 6.821453e-02 5.382083e-01 1.036717e+00 2.954249e+00 6.021999e-01
## [3721] 6.471633e-01 2.020840e-01 4.081242e-01 9.119037e-01 2.299128e-02
## [3726] 7.922928e-01 8.963378e-01 5.642498e-02 3.202968e-01 1.120489e-01
## [3731] 2.834379e-02 1.494419e-01 9.963010e-02 1.048187e-01 5.843036e+00
## [3736] 4.980076e+00 8.519896e-01 5.642498e-02 1.751920e+00 1.559611e+00
## [3741] 8.998671e-02 3.961081e-01 3.202968e-01 1.120489e-01 1.401842e+00
## [3746] 1.142147e-02 6.316594e+00 1.906303e-02 1.401842e+00 1.142147e-02
## [3751] 7.392406e-01 3.430273e-02 3.202968e-01 1.120489e-01 7.505528e+00
## [3756] 2.992223e-01 2.371536e+00 1.226097e-01 7.392406e-01 1.824521e-02
## [3761] 6.031645e-02 4.081242e-01 2.313571e-01 4.429813e-01 2.499714e-01
## [3766] 1.421299e+00 8.900768e-03 1.048187e-01 2.313571e-01 4.429813e-01
## [3771] 4.726983e-01 2.359843e-01 9.685638e-02 9.984307e-01 1.052310e+00
## [3776] 1.987374e-03 2.371536e+00 1.226097e-01 3.804309e+00 3.726656e+00
## [3781] 7.392406e-01 1.824521e-02 8.998671e-02 3.961081e-01 7.392406e-01
## [3786] 1.824521e-02 1.931162e+00 1.315674e-01 1.401842e+00 1.142147e-02
## [3791] 7.392406e-01 1.824521e-02 1.401842e+00 1.142147e-02 3.202968e-01
## [3796] 1.120489e-01 7.745869e-01 1.817926e-01 5.583402e+00 2.256013e+00
## [3801] 4.768077e-03 4.752570e-01 3.048427e+00 1.927871e+00 1.618506e-01
## [3806] 9.119037e-01 4.895442e+00 1.439552e+00 1.298921e+00 5.291955e-02
## [3811] 3.088221e-02 2.108251e-03 2.565297e+00 3.215869e+00 4.606371e-02
## [3816] 5.960257e-01 1.036149e+00 1.987374e-03 1.987374e-03 2.314122e-01
## [3821] 4.110322e+00 7.722233e-01 3.202968e-01 7.482859e-02 3.314252e-01
## [3826] 6.349547e-01 3.019889e+00 5.291955e-02 3.651612e-02 3.881976e-01
## [3831] 1.420634e+00 3.151895e-02 1.401842e+00 1.142147e-02 1.811671e-01
## [3836] 4.081242e-01 2.261350e-01 1.444021e+00 4.814272e-01 3.088221e-02
## [3841] 3.555143e+00 3.035533e-01 2.429271e-01 2.018343e-01 5.291955e-02
## [3846] 3.780798e-01 2.151425e-02 8.819535e-01 1.169548e+00 2.321181e-03
## [3851] 1.157095e+00 4.385847e-01 4.928751e-02 1.553649e-01 1.618506e-01
## [3856] 4.945597e-01 1.698757e-02 2.042664e+00 1.787313e-01 9.821384e-01
## [3861] 3.764823e-01 2.878582e+00 4.705286e-01 6.002369e+00 2.251263e+00
## [3866] 7.662608e-01 1.192034e-02 8.084450e-02 1.295953e+00 3.019889e+00
## [3871] 1.553649e-01 1.047984e-01 1.540321e+00 9.572230e-01 8.551426e-02
## [3876] 1.811671e-01 4.081242e-01 4.928751e-02 1.048187e-01 3.202968e-01
## [3881] 1.120489e-01 2.400868e+00 6.731670e-03 3.249176e-03 8.525044e-01
## [3886] 2.400868e+00 6.731670e-03 7.603610e-03 3.159949e+00 1.151907e+00
## [3891] 3.135034e-01 5.382083e-01 1.036717e+00 1.818522e+00 4.427290e-01
## [3896] 7.671644e-01 1.169548e+00 3.092798e-03 7.951099e-01 2.972171e-01
## [3901] 1.181002e+00 4.081242e-01 1.274435e+00 3.801894e+00 2.576350e-01
## [3906] 2.574948e-02 3.687723e-01 4.551526e+00 5.477993e-03 1.220811e+00
## [3911] 9.963010e-02 1.492276e-01 3.498481e-01 1.401842e+00 1.618506e-01
## [3916] 6.219831e-01 2.236293e-01 2.494942e+00 1.618506e-01 4.081242e-01
## [3921] 9.119037e-01 3.901282e+00 6.219831e-01 3.901282e+00 6.219831e-01
## [3926] 2.954249e+00 6.021999e-01 1.811671e-01 5.291955e-02 4.081242e-01
## [3931] 1.238971e+00 3.135034e-01 1.421299e+00 3.453085e-02 1.920166e-01
## [3936] 2.834379e-02 1.494419e-01 1.655914e+00 2.627451e-01 5.583402e+00
## [3941] 2.474986e+00 3.044233e-01 1.253096e+00 4.726983e-01 2.359843e-01
## [3946] 2.042664e+00 1.787313e-01 2.314122e-01 4.081242e-01 6.349547e-01
## [3951] 1.421299e+00 5.397975e+00 3.962930e-02 6.031645e-02 5.152746e-01
## [3956] 3.423026e+00 7.389158e-02 6.728446e-01 2.834379e-02 1.474108e-01
## [3961] 1.398757e-01 2.954249e+00 6.021999e-01 3.684342e-01 2.791633e-01
## [3966] 2.083812e-03 1.428058e-02 8.097839e+00 7.257108e-01 2.371536e+00
## [3971] 1.226097e-01 6.219831e-01 2.574948e-02 7.694472e-01 4.995193e-01
## [3976] 7.566359e+00 2.111793e-02 1.635619e+00 1.421871e-02 2.020113e+00
## [3981] 1.421871e-02 1.676335e+00 4.494808e-01 8.900768e-03 1.048187e-01
## [3986] 4.046400e+00 9.978734e-01 2.236293e-01 6.031645e-02 8.666470e-01
## [3991] 6.031645e-02 3.019889e+00 5.291955e-02 8.666470e-01 6.031645e-02
## [3996] 2.915054e-01 7.646134e-02 7.671644e-01 1.069173e+00 1.595403e+00
## [4001] 1.553649e-01 6.358656e+00 4.980076e+00 6.351518e-03 1.675010e+00
## [4006] 9.119037e-01 2.043462e+00 1.462418e+00 2.783214e-02 8.998671e-02
## [4011] 3.961081e-01 1.102951e-01 1.695365e-01 1.420634e+00 3.151895e-02
## [4016] 1.462418e+00 2.783214e-02 3.651612e-02 3.881976e-01 3.726656e+00
## [4021] 3.787665e+00 5.291955e-02 5.382083e-01 1.238971e+00 2.396831e+00
## [4026] 1.987374e-03 3.135034e-01 2.647164e+00 1.142147e-02 5.620864e+00
## [4031] 1.801493e+00 1.331574e+00 3.188273e-01 1.292979e-01 4.081242e-01
## [4036] 7.671644e-01 1.616157e+00 2.236293e-01 2.314122e-01 3.092798e-03
## [4041] 7.951099e-01 2.706021e-01 1.618506e-01 3.202968e-01 1.120489e-01
## [4046] 2.261350e-01 1.444021e+00 6.821453e-02 2.314122e-01 2.410742e+00
## [4051] 2.964068e+00 2.951530e+00 1.259313e-01 2.698907e+00 6.219831e-01
## [4056] 4.768077e-03 4.752570e-01 1.595403e+00 5.262744e-01 3.202968e-01
## [4061] 1.120489e-01 1.261279e-01 1.186716e+00 1.220811e+00 1.987374e-03
## [4066] 1.462418e+00 2.783214e-02 2.400868e+00 6.731670e-03 7.603610e-03
## [4071] 4.177036e-01 4.721918e+00 8.230505e-01 2.400868e+00 6.731670e-03
## [4076] 6.659482e-02 5.569160e-01 2.042664e+00 1.787313e-01 4.385847e-01
## [4081] 4.928751e-02 3.565011e+00 6.888739e-02 2.574948e-02 7.973954e-01
## [4086] 2.423263e+00 7.973954e-01 2.423263e+00 2.236293e-01 3.135034e-01
## [4091] 3.329236e-01 2.344553e-01 2.574948e-02 1.421299e+00 6.219831e-01
## [4096] 3.135034e-01 4.220139e+00 6.219831e-01 3.019889e+00 5.291955e-02
## [4101] 1.368254e+01 6.873330e+00 1.801493e+00 7.257108e-01 2.698907e+00
## [4106] 6.219831e-01 5.731264e-01 8.551426e-02 2.075880e-02 7.838715e-01
## [4111] 6.031645e-02 4.494808e-01 8.799459e-01 7.698070e-02 3.044233e-01
## [4116] 4.928751e-02 2.020840e-01 7.951099e-01 1.238971e+00 2.396831e+00
## [4121] 1.931162e+00 2.114880e-03 2.910890e+00 6.728446e-01 3.329236e-01
## [4126] 2.875604e-01 1.220811e+00 2.574948e-02 1.298921e+00 5.291955e-02
## [4131] 1.516475e+00 5.291955e-02 3.804309e+00 3.771970e+00 1.553649e-01
## [4136] 8.900768e-03 5.036002e-01 2.834379e-02 2.236293e-01 5.642498e-02
## [4141] 1.220811e+00 3.977469e-01 1.270709e+00 2.516974e+01 4.632736e+00
## [4146] 7.646134e-02 4.818139e-01 6.515719e-03 7.021400e-01 4.136031e+00
## [4151] 2.245477e-02 1.462418e+00 2.783214e-02 7.505528e+00 2.992223e-01
## [4156] 6.031645e-02 4.494808e-01 5.973841e+00 9.963010e-02 2.314122e-01
## [4161] 6.696852e-02 2.883223e-01 8.900768e-03 1.618506e-01 3.035533e-01
## [4166] 2.429271e-01 7.671644e-01 1.383831e+00 1.238971e+00 2.396831e+00
## [4171] 2.574948e-02 9.491591e-02 8.084450e-02 1.048187e-01 2.494942e+00
## [4176] 2.834379e-02 8.900768e-03 3.135034e-01 1.291720e+00 6.807090e-02
## [4181] 7.694472e-01 4.995193e-01 5.291955e-02 5.382083e-01 3.962930e-02
## [4186] 1.739086e+00 9.326284e-01 1.680154e-01 1.595403e+00 6.031645e-02
## [4191] 1.238971e+00 2.043462e+00 6.219831e-01 2.236293e-01 1.672069e+03
## [4196] 7.603610e-03 3.097722e-02 1.261279e-01 1.186716e+00 6.219831e-01
## [4201] 2.314122e-01 1.434255e-01 1.310399e+00 1.603330e-02 5.232444e-01
## [4206] 1.680154e-01 7.661381e-02 2.314122e-01 6.349547e-01 1.616157e+00
## [4211] 3.048427e+00 3.977469e-01 1.729956e-02 2.544433e-01 1.987374e-03
## [4216] 1.123891e-01 3.359839e-01 2.595922e+00 1.152227e-01 1.635619e+00
## [4221] 6.420871e-01 2.535093e+00 7.389158e-02 2.535093e+00 7.389158e-02
## [4226] 2.155853e-02 2.289922e-01 2.834379e-02 4.081242e-01 5.642498e-02
## [4231] 2.310592e-03 4.895442e+00 2.371536e+00 1.226097e-01 1.553649e-01
## [4236] 1.048187e-01 1.401842e+00 1.142147e-02 3.019889e+00 5.291955e-02
## [4241] 1.069173e+00 1.526921e+00 3.952102e-02 1.048187e-01 8.900768e-03
## [4246] 1.048187e-01 7.694472e-01 4.995193e-01 4.049841e+00 1.135589e+00
## [4251] 1.867953e+00 3.703533e-01 3.774517e-01 1.196467e+00 1.517442e-02
## [4256] 1.684539e+00 7.404140e-02 1.048187e-01 1.238971e+00 3.761917e+00
## [4261] 1.454384e+00 5.948638e-01 2.757131e-01 3.771970e+00 3.771970e+00
## [4266] 7.392406e-01 1.824521e-02 1.464630e+01 1.364634e+00 1.717553e+00
## [4271] 5.997005e-01 1.204205e-01 4.709109e-01 7.973954e-01 2.423263e+00
## [4276] 1.220811e+00 1.987374e-03 1.261279e-01 1.186716e+00 6.219831e-01
## [4281] 1.987374e-03 8.505307e-01 2.421346e-03 8.505307e-01 2.421346e-03
## [4286] 2.063522e+00 6.420871e-01 2.212009e-01 1.520711e+00 4.385847e-01
## [4291] 4.928751e-02 1.238971e+00 2.396831e+00 2.494942e+00 1.680154e-01
## [4296] 2.494942e+00 9.963010e-02 2.494942e+00 6.219831e-01 5.291955e-02
## [4301] 5.382083e-01 1.595403e+00 1.553649e-01 3.545382e+02 4.482969e+00
## [4306] 7.646134e-02 4.818139e-01 8.097839e+00 7.257108e-01 1.462418e+00
## [4311] 2.783214e-02 1.093880e+01 6.418038e+00 1.093880e+01 5.287494e+00
## [4316] 2.026845e-01 2.503886e-03 4.136031e+00 2.245477e-02 8.246250e+00
## [4321] 4.469512e+00 8.043601e-02 2.990089e-01 1.987374e-03 1.618506e-01
## [4326] 8.246250e+00 3.459429e+00 3.044233e-01 2.520885e+00 8.246250e+00
## [4331] 4.469512e+00 3.802187e-01 3.373595e-02 5.973042e-01 8.900768e-03
## [4336] 5.973042e-01 1.906303e-02 1.595403e+00 9.963010e-02 8.246250e+00
## [4341] 4.469512e+00 1.781065e+00 2.421391e+00 4.000934e-01 1.697609e+00
## [4346] 7.505528e+00 2.992223e-01 6.728446e-01 2.834379e-02 1.801493e+00
## [4351] 6.219831e-01 1.093880e+01 5.287494e+00 6.885785e+00 6.728446e-01
## [4356] 2.026845e-01 2.503886e-03 9.963010e-02 2.314122e-01 6.219831e-01
## [4361] 1.462418e+00 2.783214e-02 6.807090e-02 3.457521e-01 2.371536e+00
## [4366] 1.226097e-01 1.162565e+01 6.873330e+00 3.044233e-01 1.253096e+00
## [4371] 3.019889e+00 5.291955e-02 4.721918e+00 8.230505e-01 1.555688e+00
## [4376] 9.491591e-02 5.152746e-01 1.616157e+00 3.044233e-01 1.014295e+00
## [4381] 2.236293e-01 1.987374e-03 8.900768e-03 3.135034e-01 4.448833e-01
## [4386] 5.113011e-03 1.298921e+00 5.291955e-02 9.805338e+00 1.987374e-03
## [4391] 9.119037e-01 7.603610e-03 3.097722e-02 8.874783e-02 5.080417e-01
## [4396] 1.298921e+00 5.291955e-02 7.392406e-01 1.446187e-01 6.348458e+00
## [4401] 2.155853e-02 1.818522e+00 2.614165e-02 6.119218e-03 2.373648e-01
## [4406] 3.977469e-01 1.553649e-01 5.583402e+00 2.256013e+00 1.550011e+00
## [4411] 1.016619e-02 8.963378e-01 2.565806e-03 8.246250e+00 3.459429e+00
## [4416] 1.987374e-03 6.349547e-01 1.434255e-01 1.310399e+00 2.757992e+00
## [4421] 3.215869e+00 1.434255e-01 1.310399e+00 7.646134e-02 4.818139e-01
## [4426] 5.152746e-01 1.616157e+00 5.620864e+00 6.219831e-01 7.397201e-01
## [4431] 1.536711e+00 7.505528e+00 2.992223e-01 7.570166e-01 7.951639e-02
## [4436] 3.423026e+00 7.389158e-02 2.371536e+00 1.226097e-01 1.048187e-01
## [4441] 4.081242e-01 2.647164e+00 1.142147e-02 1.298921e+00 5.291955e-02
## [4446] 4.136031e+00 2.245477e-02 1.318828e+00 2.584360e-01 1.627695e+00
## [4451] 2.664593e+00 1.052310e+00 3.044233e-01 5.353938e+00 2.665135e-03
## [4456] 7.805817e-01 2.707406e-02 2.724966e+00 9.588363e-02 5.731264e-01
## [4461] 1.747606e-01 8.900768e-03 1.048187e-01 1.779687e+00 3.563203e-01
## [4466] 5.353938e+00 2.665135e-03 1.298921e+00 5.291955e-02 6.219831e-01
## [4471] 1.987374e-03 1.618506e-01 5.152746e-01 4.632736e+00 3.724060e+00
## [4476] 1.959809e+00 2.131040e+00 2.910890e+00 3.977469e-01 2.903821e-01
## [4481] 7.595239e-02 1.121149e+01 3.555143e+00 7.392406e-01 1.048187e-01
## [4486] 9.119037e-01 1.102130e+00 5.291955e-02 5.382083e-01 6.832574e-01
## [4491] 4.315224e-03 1.238971e+00 2.396831e+00 1.261279e-01 1.186716e+00
## [4496] 5.152746e-01 1.421299e+00 7.671644e-01 1.421299e+00 7.646134e-02
## [4501] 4.818139e-01 3.097722e-02 9.119037e-01 3.565011e+00 6.888739e-02
## [4506] 8.097839e+00 7.257108e-01 2.595922e+00 1.152227e-01 2.236293e-01
## [4511] 5.642498e-02 4.385847e-01 1.906303e-02 1.517442e-02 1.152227e-01
## [4516] 4.179152e-01 6.515719e-03 1.069173e+00 1.616157e+00 7.603610e-03
## [4521] 3.097722e-02 1.063034e+01 5.383509e+00 3.453085e-02 1.920166e-01
## [4526] 9.821384e-01 9.437920e-03 2.494942e+00 6.349547e-01 8.799459e-01
## [4531] 7.698070e-02 4.519010e+00 3.809158e+00 1.536711e+00 1.304302e-01
## [4536] 1.147583e-02 1.595403e+00 1.553649e-01 2.574948e-02 6.031645e-02
## [4541] 1.987374e-03 4.081242e-01 5.977351e-01 1.112115e+00 6.418038e+00
## [4546] 2.669352e+00 6.937505e-01 5.312755e-01 4.081242e-01 1.616157e+00
## [4551] 4.417468e+00 2.872621e-01 6.807090e-02 3.457521e-01 1.220811e+00
## [4556] 3.044233e-01 3.019889e+00 1.401842e+00 2.323051e+00 7.235152e-02
## [4561] 8.246250e+00 4.469512e+00 8.246250e+00 4.469512e+00 1.432155e-01
## [4566] 6.821453e-02 1.093880e+01 6.418038e+00 8.246250e+00 4.469512e+00
## [4571] 1.093880e+01 5.287494e+00 3.802187e-01 3.373595e-02 8.097839e+00
## [4576] 1.595403e+00 2.698907e+00 6.219831e-01 6.348458e+00 2.155853e-02
## [4581] 8.246250e+00 3.459429e+00 4.469512e+00 1.170313e+00 7.558177e+00
## [4586] 4.106336e+00 7.220347e-02 4.285519e-01 8.374574e-01 4.597553e-01
## [4591] 1.093880e+01 5.287494e+00 3.095046e+00 3.135034e-01 1.085008e+00
## [4596] 2.872621e-01 6.219831e-01 8.900768e-03 2.494942e+00 6.888739e-02
## [4601] 4.484246e+00 1.477763e+00 7.528957e-01 2.574948e-02 4.261229e-01
## [4606] 1.306304e-01 1.298921e+00 5.291955e-02 4.261229e-01 1.306304e-01
## [4611] 1.595403e+00 1.553649e-01 3.044051e-02 1.046401e+00 7.671644e-01
## [4616] 1.616157e+00 2.910890e+00 1.097747e-01 7.392406e-01 1.446187e-01
## [4621] 1.004762e+00 1.497739e+00 4.253866e+00 5.620864e+00 6.358656e+00
## [4626] 3.737436e+00 1.715895e+00 2.597103e-03 4.362764e-02 4.333628e-01
## [4631] 1.210213e+01 2.251263e+00 4.551526e+00 4.792374e-01 2.020113e+00
## [4636] 4.393838e-02 1.291720e+00 6.807090e-02 2.020113e+00 4.393838e-02
## [4641] 9.505477e+00 1.788774e+00 6.349547e-01 3.048427e+00 1.462418e+00
## [4646] 2.783214e-02 2.065341e+00 7.603610e-03 8.963378e-01 9.119037e-01
## [4651] 2.321089e+00 9.119037e-01 1.102130e+00 2.574948e-02 2.834379e-02
## [4656] 1.266674e+00 3.877867e-03 7.392406e-01 1.048187e-01 8.963378e-01
## [4661] 2.574948e-02 7.392406e-01 1.824521e-02 3.329236e-01 2.344553e-01
## [4666] 4.385847e-01 2.108251e-03 3.044233e-01 1.253096e+00 8.998671e-02
## [4671] 1.120489e-01 7.392406e-01 1.824521e-02 2.494942e+00 1.048187e-01
## [4676] 8.963378e-01 9.963010e-02 1.266674e+00 3.877867e-03 3.927832e-01
## [4681] 9.395319e-02 5.583402e+00 2.256013e+00 1.261279e-01 1.186716e+00
## [4686] 1.238971e+00 2.396831e+00 1.210213e+01 6.219831e-01 1.536711e+00
## [4691] 2.043462e+00 2.236293e-01 2.834379e-02 7.951099e-01 1.172972e+00
## [4696] 8.963378e-01 2.151425e-02 8.963378e-01 1.553649e-01 2.627451e-01
## [4701] 7.838715e-01 1.987374e-03 9.119037e-01 3.977469e-01 1.618506e-01
## [4706] 1.047984e-01 1.540321e+00 1.238971e+00 2.043462e+00 7.646134e-02
## [4711] 4.818139e-01 6.937505e-01 5.312755e-01 2.334460e+01 2.043462e+00
## [4716] 3.202968e-01 1.120489e-01 1.987374e-03 4.081242e-01 1.595403e+00
## [4721] 1.553649e-01 6.219831e-01 9.963010e-02 1.553649e-01 2.574948e-02
## [4726] 2.751151e+00 2.574948e-02 2.793301e-01 1.138287e+00 2.164975e-01
## [4731] 1.310399e+00 2.111793e-02 5.152746e-01 6.348458e+00 2.155853e-02
## [4736] 7.603610e-03 5.855791e-01 1.254667e+01 5.612255e-01 3.019889e+00
## [4741] 5.291955e-02 2.020113e+00 3.402492e-01 4.253866e+00 8.963378e-01
## [4746] 3.977469e-01 7.671644e-01 1.616157e+00 5.036002e-01 2.468281e-01
## [4751] 1.085008e+00 2.872621e-01 6.219831e-01 2.574948e-02 1.238971e+00
## [4756] 1.616157e+00 3.044233e-01 1.253096e+00 4.106336e+00 3.804309e+00
## [4761] 3.385069e+00 1.906715e-01 2.251263e+00 3.044233e-01 2.371536e+00
## [4766] 1.226097e-01 1.298921e+00 5.291955e-02 2.241664e+00 2.485834e+00
## [4771] 2.228417e+00 1.210213e+01 6.219831e-01 5.262744e-01 2.164975e-01
## [4776] 6.937505e-01 5.312755e-01 6.031645e-02 3.135034e-01 5.771962e+00
## [4781] 3.780798e-01 1.823545e+00 2.275909e+00 1.220811e+00 9.963010e-02
## [4786] 3.044233e-01 1.253096e+00 4.081242e-01 1.421299e+00 1.987374e-03
## [4791] 8.235566e-01 3.977469e-01 3.396412e+02 7.392406e-01 1.824521e-02
## [4796] 7.392406e-01 1.446187e-01 1.085008e+00 2.872621e-01 3.044051e-02
## [4801] 1.046401e+00 6.349547e-01 1.179021e-01 1.261965e+00 4.106336e+00
## [4806] 3.927276e+00 3.202968e-01 1.120489e-01 1.432155e-01 6.821453e-02
## [4811] 7.603610e-03 1.618506e-01 3.044233e-01 1.253096e+00 4.902362e-01
## [4816] 8.376650e-02 3.801894e+00 2.576350e-01 5.642498e-02 1.705608e-02
## [4821] 1.009090e+00 1.730597e-02 1.717469e-01 1.671449e+00 7.257108e-01
## [4826] 3.363652e-02 7.392406e-01 1.824521e-02 3.202968e-01 1.120489e-01
## [4831] 6.219831e-01 6.349547e-01 3.019889e+00 5.291955e-02 1.553649e-01
## [4836] 2.541069e-03 1.462418e+00 2.783214e-02 6.031645e-02 7.671644e-01
## [4841] 4.735685e+00 3.249176e-03 1.487008e+00 5.635956e-01 3.088221e-02
## [4846] 2.834379e-02 1.256015e+00 3.044233e-01 8.963378e-01 2.018343e-01
## [4851] 2.236293e-01 1.987374e-03 6.304779e-03 3.611425e-01 2.574948e-02
## [4856] 2.834379e-02 4.632736e+00 4.341489e+00 8.246250e+00 3.459429e+00
## [4861] 4.551526e+00 7.528957e-01 9.119037e-01 2.261350e-01 1.444021e+00
## [4866] 6.515719e-03 7.951099e-01 1.904867e+00 1.777355e-02 1.401842e+00
## [4871] 1.142147e-02 4.385847e-01 4.928751e-02 1.987374e-03 2.345282e-02
## [4876] 3.019889e+00 5.291955e-02 6.348458e+00 2.155853e-02 3.417173e+00
## [4881] 7.528957e-01 4.471033e-03 8.908859e-01 3.135034e-01 1.536711e+00
## [4886] 8.998671e-02 3.961081e-01 3.927276e+00 3.927276e+00 3.044233e-01
## [4891] 1.253096e+00 5.642498e-02 2.345282e-02 1.550106e+01 2.020113e+00
## [4896] 1.906303e-02 2.236293e-01 5.152746e-01 1.238971e+00 2.043462e+00
## [4901] 3.475932e+00 2.236293e-01 9.915905e-03 3.012217e-01 1.178700e-02
## [4906] 8.551426e-02 4.840095e-01 1.176400e+00 6.659482e-02 5.569160e-01
## [4911] 4.081242e-01 8.092706e-01 8.432552e-01 2.192568e-03 2.020113e+00
## [4916] 2.236293e-01 3.594955e+00 1.220811e+00 4.924510e-01 3.047304e-01
## [4921] 1.401842e+00 1.142147e-02 2.834379e-02 6.349547e-01 4.726983e-01
## [4926] 2.359843e-01 1.401842e+00 5.973042e-01 2.520885e+00 3.048427e+00
## [4931] 3.202968e-01 1.120489e-01 2.314122e-01 7.671644e-01 5.383509e+00
## [4936] 3.737436e+00 1.401842e+00 1.142147e-02 9.386613e+01 3.108818e+00
## [4941] 7.603610e-03 6.349547e-01 1.069173e+00 1.823545e+00 4.226644e+00
## [4946] 8.173616e-02 6.219831e-01 2.314122e-01 3.044233e-01 1.253096e+00
## [4951] 2.342847e-03 3.332449e-01 2.020113e+00 2.236293e-01 5.642498e-02
## [4956] 8.900768e-03 5.642498e-02 8.900768e-03 3.866973e+00 6.120514e-01
## [4961] 1.118797e+00 2.396831e+00 2.834379e-02 1.365285e+00 2.757992e+00
## [4966] 3.215869e+00 6.080173e+00 7.257108e-01 7.392406e-01 1.824521e-02
## [4971] 3.202968e-01 1.120489e-01 5.291955e-02 5.382083e-01 3.135034e-01
## [4976] 1.186716e+00 4.220139e+00 2.494942e+00 2.236293e-01 6.349547e-01
## [4981] 1.616157e+00 6.349547e-01 1.616157e+00 2.020113e+00 1.335840e-02
## [4986] 1.298921e+00 5.291955e-02 7.392406e-01 1.824521e-02 2.486749e-02
## [4991] 4.162351e-01 4.091093e+00 1.315674e-01 4.081242e-01 7.671644e-01
## [4996] 6.002369e+00 2.574948e-02 1.553649e-01 1.618506e-01 7.603610e-03
## [5001] 2.314122e-01 1.069173e+00 1.238971e+00 3.996740e+00 5.942029e-02
## [5006] 1.340598e-01 3.019889e+00 5.291955e-02 2.965139e+00 3.516230e-02
## [5011] 3.202968e-01 1.120489e-01 3.801894e+00 2.576350e-01 4.385847e-01
## [5016] 1.948199e-01 1.151907e+00 1.069173e+00 8.551426e-02 1.556384e+00
## [5021] 2.595922e+00 1.152227e-01 1.053933e+00 3.479833e-01 3.019889e+00
## [5026] 5.291955e-02 1.151907e+00 1.069173e+00 1.048187e-01 1.069173e+00
## [5031] 2.494942e+00 6.219831e-01 1.220811e+00 9.963010e-02 8.900768e-03
## [5036] 3.135034e-01 2.872621e-01 1.881717e-01 1.421299e+00 1.823545e+00
## [5041] 8.444124e-02 8.908859e-01 3.202968e-01 1.120489e-01 2.910890e+00
## [5046] 3.977469e-01 8.998671e-02 3.961081e-01 1.238971e+00 1.616157e+00
## [5051] 4.937457e-02 6.126113e-01 6.219831e-01 1.987374e-03 6.937505e-01
## [5056] 5.312755e-01 3.920061e+00 2.788695e-01 8.444124e-02 5.107480e-01
## [5061] 2.020113e+00 1.987374e-03 1.048187e-01 2.314122e-01 8.235566e-01
## [5066] 2.400868e+00 6.731670e-03 1.811671e-01 2.627451e-01 2.261350e-01
## [5071] 1.444021e+00 3.977469e-01 2.314122e-01 1.904867e+00 7.774252e-02
## [5076] 2.400868e+00 6.731670e-03 9.963010e-02 1.618506e-01 5.152746e-01
## [5081] 9.119037e-01 6.974953e+00 1.069863e-01 9.963010e-02 1.618506e-01
## [5086] 1.982620e-02 1.759999e-01 1.298921e+00 5.291955e-02 6.406363e-02
## [5091] 1.261279e-01 1.674152e+00 2.060262e+00 8.416202e+00 2.311448e-01
## [5096] 2.153629e+00 1.000758e-01 2.400868e+00 6.731670e-03 4.980076e+00
## [5101] 4.193375e+00 1.401842e+00 1.142147e-02 2.878582e+00 9.143929e-01
## [5106] 1.823545e+00 2.520885e+00 5.107806e+00 2.236293e-01 3.019889e+00
## [5111] 4.385847e-01 9.963010e-02 1.618506e-01 6.603943e-01 1.048187e-01
## [5116] 6.349547e-01 1.717553e+00 6.406363e-02 3.061670e-01 1.306304e-01
## [5121] 5.152746e-01 1.238971e+00 2.574948e-02 2.275909e+00 2.065341e+00
## [5126] 4.265122e-02 2.314122e-01 9.119037e-01 1.151907e+00 2.627451e-01
## [5131] 8.963378e-01 8.084450e-02 6.476714e+00 3.976683e-02 3.724060e+00
## [5136] 3.771970e+00 2.951530e+00 3.044233e-01 1.401842e+00 8.900768e-03
## [5141] 1.462418e+00 2.783214e-02 2.757992e+00 3.215869e+00 3.977469e-01
## [5146] 5.642498e-02 1.553649e-01 2.574948e-02 2.371536e+00 1.226097e-01
## [5151] 2.371536e+00 1.226097e-01 4.768077e-03 4.752570e-01 2.834379e-02
## [5156] 1.365285e+00 2.681463e-01 3.498481e-01 1.987374e-03 2.314122e-01
## [5161] 5.152746e-01 7.671644e-01 6.080173e+00 7.257108e-01 2.574948e-02
## [5166] 6.031645e-02 5.843036e+00 4.980076e+00 1.494419e-01 1.023874e+00
## [5171] 1.707615e+00 9.263634e-02 5.291955e-02 5.382083e-01 3.202968e-01
## [5176] 1.120489e-01 8.084450e-02 1.048187e-01 3.202968e-01 1.120489e-01
## [5181] 3.952102e-02 1.048187e-01 2.035886e+00 1.528949e-01 2.371536e+00
## [5186] 1.226097e-01 5.477993e-03 2.960828e-01 8.084450e-02 1.048187e-01
## [5191] 4.768077e-03 4.601332e-01 7.922928e-01 1.521062e+00 1.948199e-01
## [5196] 2.730313e-03 4.385847e-01 4.928751e-02 1.725857e+00 2.834379e-02
## [5201] 4.814272e-01 3.088221e-02 1.401842e+00 1.142147e-02 8.963378e-01
## [5206] 2.574948e-02 4.768077e-03 4.601332e-01 3.202968e-01 1.120489e-01
## [5211] 8.900768e-03 2.314122e-01 7.805817e-01 1.048187e-01 4.768077e-03
## [5216] 4.601332e-01 6.304779e-03 3.611425e-01 2.065341e+00 7.603610e-03
## [5221] 4.924510e-01 3.047304e-01 4.081242e-01 1.616157e+00 5.973042e-01
## [5226] 8.900768e-03 6.219831e-01 9.963010e-02 1.975416e-03 2.299586e-01
## [5231] 2.647164e+00 8.084450e-02 6.219831e-01 9.963010e-02 3.202968e-01
## [5236] 1.120489e-01 2.032522e-01 1.561459e-02 2.751151e+00 8.998671e-02
## [5241] 7.603610e-03 6.349547e-01 2.302678e-03 1.116966e-02 2.302678e-03
## [5246] 3.071742e-01 2.595922e+00 1.152227e-01 4.634042e-01 2.878989e-01
## [5251] 2.494942e+00 1.618506e-01 6.515719e-03 7.951099e-01 3.189392e+01
## [5256] 2.082416e+01 8.982071e+00 6.358656e+00 3.019889e+00 5.291955e-02
## [5261] 8.052860e+00 3.570990e+00 2.519999e+00 2.337106e-02 3.135034e-01
## [5266] 5.152746e-01 2.494942e+00 9.963010e-02 5.924285e-01 5.107480e-01
## [5271] 7.941233e-01 2.138638e+00 1.298921e+00 5.291955e-02 3.387342e-01
## [5276] 2.043462e+00 1.987374e-03 1.048187e-01 2.803896e+00 2.574948e-02
## [5281] 2.236293e-01 5.642498e-02 2.960828e-01 1.310399e+00 2.251263e+00
## [5286] 8.963378e-01 2.972171e-01 1.181002e+00 4.430783e+00 3.742065e-01
## [5291] 1.220811e+00 1.987374e-03 4.385847e-01 4.928751e-02 3.273477e+00
## [5296] 7.705570e-01 1.666972e-02 4.640496e-01 1.142147e-02 5.262744e-01
## [5301] 2.164975e-01 1.536711e+00 2.622384e+00 5.642498e-02 8.279150e-02
## [5306] 2.204030e+00 5.494498e-01 7.918674e+00 9.265298e-01 1.887438e+00
## [5311] 6.586578e-01 1.555688e+00 7.805817e-01 1.635619e+00 6.821453e-02
## [5316] 2.830501e-01 5.942029e-02 1.553649e-01 1.618506e-01 3.718682e-03
## [5321] 2.676180e-01 4.605711e+00 6.693221e-03 4.834005e+00 4.469928e-01
## [5326] 2.235994e-01 3.330992e+00 1.595403e+00 6.406363e-02 2.910890e+00
## [5331] 1.401842e+00 1.142147e-02 3.977469e-01 1.987374e-03 5.262744e-01
## [5336] 2.164975e-01 1.186108e+00 2.345282e-02 1.595403e+00 7.805817e-01
## [5341] 4.385847e-01 4.928751e-02 5.620864e+00 3.019889e+00 4.631855e-03
## [5346] 8.525044e-01 6.219831e-01 2.834379e-02 4.081242e-01 1.616157e+00
## [5351] 4.505049e+00 3.979235e-03 3.102954e+00 6.420284e-02 1.128857e+00
## [5356] 7.392406e-01 1.824521e-02 8.900768e-03 4.928422e-01 3.977469e-01
## [5361] 2.574948e-02 3.920061e+00 2.788695e-01 1.063034e+01 7.558177e+00
## [5366] 2.681463e-01 3.498481e-01 6.937505e-01 5.312755e-01 1.052310e+00
## [5371] 1.553649e-01 1.550011e+00 1.016619e-02 3.952102e-02 1.048187e-01
## [5376] 2.834379e-02 3.135034e-01 4.872197e-02 4.227816e-01 1.256015e+00
## [5381] 3.044233e-01 1.102130e+00 2.043462e+00 4.106336e+00 3.804309e+00
## [5386] 1.616157e+00 2.043462e+00 4.285414e+00 5.262744e-01 6.515719e-03
## [5391] 7.951099e-01 1.636332e+00 2.705026e+00 3.044233e-01 1.987374e-03
## [5396] 8.900768e-03 3.135034e-01 2.698907e+00 6.219831e-01 3.019889e+00
## [5401] 5.291955e-02 4.285414e+00 2.387857e-01 4.551526e+00 8.963378e-01
## [5406] 1.635321e+00 1.962848e+00 4.385847e-01 4.928751e-02 1.948199e-01
## [5411] 2.730313e-03 2.574948e-02 3.048427e+00 1.618506e-01 7.671644e-01
## [5416] 1.048187e-01 4.081242e-01 2.757992e+00 3.215869e+00 8.900768e-03
## [5421] 2.314122e-01 4.430783e+00 3.742065e-01 1.401842e+00 8.084450e-02
## [5426] 2.834379e-02 5.152746e-01 1.048086e-01 1.540360e+00 1.178700e-02
## [5431] 1.238971e+00 7.528957e-01 1.987374e-03 3.858865e-01 8.842171e-02
## [5436] 7.392406e-01 1.824521e-02 1.987374e-03 1.048187e-01 2.314122e-01
## [5441] 2.314122e-01 1.204205e-01 4.081242e-01 3.019889e+00 5.291955e-02
## [5446] 4.081242e-01 9.119037e-01 2.043462e+00 1.207052e+01 3.747650e+00
## [5451] 2.181426e+00 2.314122e-01 8.444124e-02 8.908859e-01 1.987374e-03
## [5456] 7.671644e-01 3.088221e-02 1.069173e+00 2.020113e+00 1.421871e-02
## [5461] 3.019889e+00 5.291955e-02 4.059145e+00 7.805817e-01 5.642498e-02
## [5466] 1.987374e-03 1.298921e+00 5.291955e-02 1.865764e+00 1.680154e-01
## [5471] 7.603610e-03 2.314122e-01 1.292979e-01 4.081242e-01 3.019889e+00
## [5476] 5.291955e-02 1.123891e-01 3.359839e-01 2.043462e+00 6.349547e-01
## [5481] 1.523715e+01 6.515719e-03 1.421299e+00 6.515719e-03 1.421299e+00
## [5486] 1.987374e-03 6.349547e-01 1.953992e+00 2.275909e+00 7.603610e-03
## [5491] 2.834379e-02 3.273477e+00 2.371536e+00 1.226097e-01 4.081242e-01
## [5496] 1.616157e+00 1.595403e+00 2.783214e-02 5.420061e+00 5.779219e-01
## [5501] 7.257108e-01 3.363652e-02 1.178700e-02 1.346865e+00 9.889720e-01
## [5506] 1.931937e+00 2.574948e-02 6.031645e-02 1.085008e+00 2.872621e-01
## [5511] 6.358656e+00 3.737436e+00 2.647164e+00 1.142147e-02 3.301157e+00
## [5516] 6.219831e-01 1.118207e+00 3.044233e-01 1.852103e-01 5.079821e-02
## [5521] 1.135589e+00 1.536711e+00 8.505307e-01 1.051476e-01 1.536711e+00
## [5526] 2.043462e+00 6.219831e-01 1.048187e-01 3.977469e-01 5.642498e-02
## [5531] 5.642498e-02 8.900768e-03 1.298921e+00 5.291955e-02 8.684639e+00
## [5536] 6.702539e-01 3.927832e-01 9.395319e-02 3.594955e+00 7.671644e-01
## [5541] 9.963010e-02 2.314122e-01 2.741853e-01 1.656632e+00 2.544433e-01
## [5546] 1.178700e-02 2.204030e+00 6.219831e-01 2.314122e-01 6.349547e-01
## [5551] 3.019889e+00 1.553649e-01 3.977469e-01 1.987374e-03 8.963378e-01
## [5556] 2.574948e-02 8.963378e-01 2.574948e-02 8.963378e-01 2.574948e-02
## [5561] 8.963378e-01 2.574948e-02 8.963378e-01 2.574948e-02 2.494942e+00
## [5566] 6.349547e-01 1.401842e+00 1.553649e-01 8.963378e-01 2.574948e-02
## [5571] 8.963378e-01 2.574948e-02 8.963378e-01 2.574948e-02 1.865764e+00
## [5576] 1.680154e-01 5.152746e-01 5.735484e-01 1.210213e+01 6.219831e-01
## [5581] 3.019889e+00 1.401842e+00 1.210213e+01 6.219831e-01 3.329236e-01
## [5586] 2.875604e-01 1.238971e+00 2.043462e+00 5.583402e+00 2.256013e+00
## [5591] 1.291720e+00 3.962930e-02 8.173229e-01 2.251526e-03 5.036517e+00
## [5596] 5.279359e-02 5.050735e+00 5.279359e-02 4.792015e-02 1.494419e-01
## [5601] 2.574948e-02 2.314122e-01 2.834379e-02 2.314122e-01 2.314122e-01
## [5606] 4.220139e+00 8.963378e-01 9.963010e-02 1.987374e-03 6.219831e-01
## [5611] 9.963010e-02 1.401842e+00 1.553649e-01 3.927832e-01 9.395319e-02
## [5616] 1.827471e-01 1.162716e+00 3.726656e+00 3.771970e+00 1.401842e+00
## [5621] 2.520885e+00 3.534924e-02 2.106720e-01 4.551526e+00 4.792374e-01
## [5626] 2.020113e+00 5.262744e-01 1.020113e+00 4.928751e-02 9.963010e-02
## [5631] 7.603610e-03 1.618506e-01 6.863350e-01 5.973042e-01 8.900768e-03
## [5636] 3.019889e+00 6.219831e-01 8.390936e-01 6.358656e+00 4.632736e+00
## [5641] 3.202968e-01 1.120489e-01 6.219831e-01 8.900768e-03 1.553649e-01
## [5646] 2.314122e-01 8.900768e-03 2.314122e-01 2.595922e+00 1.152227e-01
## [5651] 4.881445e+00 1.020113e+00 1.906303e-02 9.889720e-01 1.298921e+00
## [5656] 5.291955e-02 1.220811e+00 5.642498e-02 2.757992e+00 3.215869e+00
## [5661] 4.274282e+00 1.335696e-01 5.036002e-01 2.574948e-02 3.920061e+00
## [5666] 2.788695e-01 1.553649e-01 8.900768e-03 5.152746e-01 1.069173e+00
## [5671] 1.553649e-01 2.574948e-02 4.980076e+00 3.726656e+00 3.952102e-02
## [5676] 1.048187e-01 1.821944e+00 2.131040e+00 1.474108e-01 1.398757e-01
## [5681] 1.921575e+00 2.242751e+00 2.251263e+00 2.834379e-02 1.645751e+00
## [5686] 3.516230e-02 7.603610e-03 1.618506e-01 2.111069e+00 5.036002e-01
## [5691] 7.603610e-03 1.618506e-01 1.298921e+00 5.291955e-02 2.574948e-02
## [5696] 2.834379e-02 4.081242e-01 1.616157e+00 2.859783e-01 1.523743e-01
## [5701] 1.987374e-03 5.152746e-01 1.104676e+02 3.804309e+00 1.559611e+00
## [5706] 3.626087e+00 3.902385e+00 1.553649e-01 2.314122e-01 1.298921e+00
## [5711] 5.291955e-02 1.186108e+00 2.345282e-02 4.471033e-03 8.908859e-01
## [5716] 1.048187e-01 6.349547e-01 1.009280e+00 9.724688e-02 4.471033e-03
## [5721] 8.908859e-01 9.963010e-02 1.987374e-03 1.987374e-03 4.081242e-01
## [5726] 3.901282e+00 1.432155e-01 1.595403e+00 1.445684e-02 1.401842e+00
## [5731] 1.142147e-02 6.219831e-01 1.048187e-01 9.119037e-01 1.536711e+00
## [5736] 2.657472e+00 8.908859e-01 9.292932e+00 2.973266e-01 3.952102e-02
## [5741] 1.048187e-01 5.066912e-01 1.844973e+00 3.626087e+00 7.425064e-01
## [5746] 3.945196e-01 3.637268e+00 1.273234e+00 9.805718e-01 3.044233e-01
## [5751] 3.130893e+00 2.251263e+00 3.920061e+00 2.788695e-01 1.168945e+00
## [5756] 5.997005e-01 7.069796e-01 1.800649e-01 3.802187e-01 3.373595e-02
## [5761] 2.951530e+00 3.044233e-01 1.655914e+00 6.406363e-02 1.259313e-01
## [5766] 3.980983e-01 1.931162e+00 1.680154e-01 1.887438e+00 6.586578e-01
## [5771] 6.348458e+00 2.155853e-02 3.135034e-01 1.186716e+00 1.887438e+00
## [5776] 6.586578e-01 4.220139e+00 8.963378e-01 4.226644e+00 8.173616e-02
## [5781] 4.705286e-01 3.373595e-02 1.987374e-03 1.959809e+00 1.387375e+00
## [5786] 3.202968e-01 1.120489e-01 1.401842e+00 1.553649e-01 3.044233e-01
## [5791] 2.834379e-02 2.757992e+00 3.215869e+00 5.152746e-01 1.616157e+00
## [5796] 4.391244e-02 6.764495e-03 1.118207e+00 3.044233e-01 6.937505e-01
## [5801] 5.312755e-01 8.900768e-03 1.823545e+00 5.642498e-02 8.279150e-02
## [5806] 2.114300e-01 7.866736e-01 3.229288e-03 2.884070e-01 2.361799e+00
## [5811] 6.985429e-02 6.990271e-01 7.661381e-02 1.220811e+00 2.281148e+00
## [5816] 1.987374e-03 2.314122e-01 4.881445e+00 1.020113e+00 2.209543e-01
## [5821] 1.223107e-02 4.430783e+00 3.742065e-01 4.881445e+00 1.026512e+00
## [5826] 3.202968e-01 1.120489e-01 2.595922e+00 1.152227e-01 7.603610e-03
## [5831] 2.834379e-02 3.534924e-02 2.075880e-02 9.243780e+00 1.693080e-01
## [5836] 6.349547e-01 1.616157e+00 1.069173e+00 1.823545e+00 3.496648e-02
## [5841] 1.126505e+00 1.421299e+00 1.616157e+00 7.392406e-01 3.430273e-02
## [5846] 7.078164e+00 9.634218e-01 7.671644e-01 1.421299e+00 5.036002e-01
## [5851] 2.574948e-02 1.595403e+00 1.445684e-02 6.349547e-01 1.616157e+00
## [5856] 5.152746e-01 3.738012e+00 3.771970e+00 8.900768e-03 3.135034e-01
## [5861] 8.444124e-02 5.107480e-01 6.348458e+00 2.155853e-02 3.977469e-01
## [5866] 1.987374e-03 3.952102e-02 1.048187e-01 1.987374e-03 2.314122e-01
## [5871] 8.900768e-03 2.314122e-01 1.298921e+00 5.291955e-02 3.737436e+00
## [5876] 3.771970e+00 2.065341e+00 7.603610e-03 1.220811e+00 3.977469e-01
## [5881] 3.927276e+00 3.737436e+00 4.586549e+00 4.632736e+00 3.763861e+00
## [5886] 1.069173e+00 1.421299e+00 2.574948e-02 2.834379e-02 5.620864e+00
## [5891] 2.494942e+00 1.516475e+00 3.220856e-01 3.977469e-01 9.963010e-02
## [5896] 1.595403e+00 6.219831e-01 2.236293e-01 3.135034e-01 6.219831e-01
## [5901] 3.135034e-01 2.530118e+00 1.220811e+00 7.528957e-01 2.236293e-01
## [5906] 1.048187e-01 6.219831e-01 1.987374e-03 1.052310e+00 9.963010e-02
## [5911] 2.371536e+00 1.226097e-01 1.364634e+00 1.680154e-01 2.314122e-01
## [5916] 1.421299e+00 1.686776e+01 1.059717e+01 2.834379e-02 2.314122e-01
## [5921] 1.261279e-01 1.186716e+00 8.900768e-03 3.135034e-01 3.044233e-01
## [5926] 2.834379e-02 8.052860e+00 3.570990e+00 6.349547e-01 1.238971e+00
## [5931] 2.494942e+00 3.952102e-02 6.219831e-01 8.900768e-03 6.349547e-01
## [5936] 8.900768e-03 3.135034e-01 7.123063e-01 2.730313e-03 1.975387e+00
## [5941] 1.895404e-01 1.887438e+00 8.900768e-03 4.336823e-01 6.630540e-02
## [5946] 3.977469e-01 3.687723e-01 1.193334e+00 1.069173e+00 1.823545e+00
## [5951] 6.031645e-02 5.039957e-01 5.107806e+00 3.044233e-01 1.238971e+00
## [5956] 1.616157e+00 1.220811e+00 2.574948e-02 1.553649e-01 8.900768e-03
## [5961] 6.219831e-01 2.745781e-03 2.757992e+00 3.215869e+00 2.042664e+00
## [5966] 1.787313e-01 3.718682e-03 2.774990e-01 1.315674e-01 3.498481e-01
## [5971] 3.019889e+00 5.291955e-02 1.553649e-01 4.081242e-01 3.019889e+00
## [5976] 5.291955e-02 1.048187e-01 4.081242e-01 7.528957e-01 2.872621e-01
## [5981] 2.114880e-03 1.366615e-01 5.036002e-01 2.574948e-02 1.204612e+00
## [5986] 6.273570e-03 9.963010e-02 6.031645e-02 1.553649e-01 8.900768e-03
## [5991] 5.973042e-01 3.651612e-02 1.298921e+00 5.291955e-02 1.256015e+00
## [5996] 3.853560e-03 3.402492e-01 1.261279e-01 8.963378e-01 5.291955e-02
## [6001] 1.553649e-01 6.349547e-01 2.089740e-01 4.285519e-01 2.251263e+00
## [6006] 2.236293e-01 1.906303e-02 1.421299e+00 5.924285e-01 5.107480e-01
## [6011] 1.618506e-01 3.687723e-01 8.963378e-01 7.603610e-03 3.135034e-01
## [6016] 1.036717e+00 5.642498e-02 2.834379e-02 3.373595e-02 4.928422e-01
## [6021] 5.973841e+00 3.901282e+00 2.520885e+00 4.265779e+00 1.979747e-03
## [6026] 7.221261e+00 2.519999e+00 2.337106e-02 8.900768e-03 3.135034e-01
## [6031] 2.834379e-02 2.314122e-01 1.048086e-01 1.540360e+00 7.974236e-01
## [6036] 2.423263e+00 1.553649e-01 6.031645e-02 1.069173e+00 1.823545e+00
## [6041] 2.857143e+00 4.631855e-03 1.291720e+00 1.553649e-01 6.990271e-01
## [6046] 7.489386e-02 1.009280e+00 9.724688e-02 1.256015e+00 4.631855e-03
## [6051] 6.349547e-01 1.238971e+00 3.202968e-01 1.120489e-01 1.931162e+00
## [6056] 1.023041e-02 5.925066e+00 5.973042e-01 2.757992e+00 1.987374e-03
## [6061] 1.048187e-01 2.834379e-02 4.081242e-01 9.119037e-01 1.421299e+00
## [6066] 1.978720e+01 5.801350e+00 2.020113e+00 2.805380e-01 1.048187e-01
## [6071] 1.238971e+00 2.494942e+00 1.987374e-03 2.574948e-02 2.314122e-01
## [6076] 4.830943e+00 6.820298e-01 8.900768e-03 2.314122e-01 7.603610e-03
## [6081] 4.928422e-01 6.219831e-01 2.574948e-02 1.603330e-02 5.232444e-01
## [6086] 2.236293e-01 2.834379e-02 6.219831e-01 8.900768e-03 1.697609e+00
## [6091] 2.043462e+00 2.757992e+00 3.215869e+00 1.069173e+00 1.823545e+00
## [6096] 1.618506e-01 9.119037e-01 5.152746e-01 9.119037e-01 2.209543e-01
## [6101] 1.223107e-02 6.031645e-02 5.039957e-01 7.603610e-03 1.618506e-01
## [6106] 2.065341e+00 2.387857e-01 2.595922e+00 5.477993e-03 2.236293e-01
## [6111] 7.603610e-03 4.336823e-01 6.630540e-02 1.553649e-01 8.900768e-03
## [6116] 1.887438e+00 8.900768e-03 7.603610e-03 1.618506e-01 1.238971e+00
## [6121] 1.616157e+00 6.515719e-03 1.421299e+00 1.857890e+00 2.223695e+00
## [6126] 9.963010e-02 1.048187e-01 8.505307e-01 1.051476e-01 1.618506e-01
## [6131] 6.349547e-01 6.031645e-02 2.314122e-01 6.219831e-01 9.963010e-02
## [6136] 1.123891e-01 3.359839e-01 1.298921e+00 5.291955e-02 3.019889e+00
## [6141] 5.291955e-02 4.768077e-03 6.224228e-01 7.528957e-01 2.872621e-01
## [6146] 3.135034e-01 7.671644e-01 2.624601e-01 2.092281e-01 7.016729e-01
## [6151] 3.224016e-01 4.106336e+00 3.737436e+00 2.595922e+00 1.152227e-01
## [6156] 8.321883e-01 1.962848e+00 2.574948e-02 1.048187e-01 2.910890e+00
## [6161] 3.977469e-01 9.963010e-02 6.031645e-02 7.646134e-02 4.818139e-01
## [6166] 5.036002e-01 2.574948e-02 6.515719e-03 1.421299e+00 2.151322e+00
## [6171] 4.619307e+00 8.087690e-01 6.349547e-01 1.238971e+00 1.337056e+00
## [6176] 2.032522e-01 1.032266e+01 2.460073e+00 1.595403e+00 1.220811e+00
## [6181] 5.420061e+00 5.779219e-01 8.963378e-01 2.565806e-03 6.219831e-01
## [6186] 9.963010e-02 6.974953e+00 1.069863e-01 1.261279e-01 1.186716e+00
## [6191] 4.181091e+00 4.494808e-01 2.043462e+00 6.821453e-02 1.747606e-01
## [6196] 1.123891e-01 3.359839e-01 5.642498e-02 8.279150e-02 1.401842e+00
## [6201] 1.553649e-01 1.595403e+00 1.682430e-01 2.371536e+00 1.226097e-01
## [6206] 1.553649e-01 8.900768e-03 2.579506e-03 1.543453e-01 8.900768e-03
## [6211] 3.135034e-01 6.219831e-01 1.987374e-03 2.574948e-02 2.314122e-01
## [6216] 3.044233e-01 2.276365e-01 3.920061e+00 2.706021e-01 9.963010e-02
## [6221] 1.618506e-01 7.646134e-02 4.818139e-01 2.494942e+00 6.219831e-01
## [6226] 6.031645e-02 1.085008e+00 2.872621e-01 2.236293e-01 5.642498e-02
## [6231] 3.202968e-01 1.120489e-01 8.900768e-03 2.314122e-01 1.221504e-02
## [6236] 3.118797e-01 1.048187e-01 9.119037e-01 1.315674e-01 8.551426e-02
## [6241] 8.388760e-01 1.206127e-01 2.209543e-01 1.223107e-02 7.646134e-02
## [6246] 4.818139e-01 3.920061e+00 2.788695e-01 2.079355e-03 5.855791e-01
## [6251] 8.900768e-03 6.349547e-01 3.977469e-01 7.671644e-01 4.768077e-03
## [6256] 4.752570e-01 1.387375e+00 1.674152e+00 1.261279e-01 1.069173e+00
## [6261] 2.108251e-03 2.834379e-02 3.920061e+00 2.788695e-01 1.220811e+00
## [6266] 9.963010e-02 6.031645e-02 5.039957e-01 6.349547e-01 1.238971e+00
## [6271] 3.004819e+00 2.574948e-02 8.900768e-03 5.477993e-03 1.517442e-02
## [6276] 4.341489e+00 3.724060e+00 3.977469e-01 2.314122e-01 4.632736e+00
## [6281] 3.724060e+00 6.358656e+00 4.106336e+00 1.987374e-03 3.881976e-01
## [6286] 3.301157e+00 1.801493e+00 1.712477e+00 1.633544e+00 2.574948e-02
## [6291] 1.048187e-01 1.421299e+00 2.025407e+00 1.069173e+00 1.421299e+00
## [6296] 2.595922e+00 1.152227e-01 8.321883e-01 1.962848e+00 1.011514e+00
## [6301] 2.281581e+00 1.118797e+00 2.396831e+00 6.480791e-01 6.801911e-02
## [6306] 5.642498e-02 2.834379e-02 1.953992e+00 2.134937e+00 1.204205e-01
## [6311] 3.135034e-01 1.618506e-01 9.119037e-01 4.792015e-02 1.494419e-01
## [6316] 1.887438e+00 8.900768e-03 9.119037e-01 9.119037e-01 3.097722e-02
## [6321] 4.203207e-01 2.910890e+00 3.977469e-01 8.900768e-03 2.314122e-01
## [6326] 7.694472e-01 4.995193e-01 2.595922e+00 1.152227e-01 2.008795e+00
## [6331] 2.493635e-02 3.274821e-01 5.735484e-01 5.642498e-02 8.279150e-02
## [6336] 3.977469e-01 1.494419e-01 2.342847e-03 3.332449e-01 4.768077e-03
## [6341] 4.752570e-01 1.270485e-01 4.516013e-01 2.263204e-01 4.923986e-01
## [6346] 1.278099e+01 9.921944e-01 4.768077e-03 6.224228e-01 7.946127e-01
## [6351] 2.077893e-01 3.019889e+00 1.401842e+00 4.924510e-01 3.047304e-01
## [6356] 9.963010e-02 9.119037e-01 7.671644e-01 1.616157e+00 3.901282e+00
## [6361] 2.574948e-02 2.972171e-01 1.181002e+00 1.553649e-01 2.314122e-01
## [6366] 1.987374e-03 2.314122e-01 6.219831e-01 1.553649e-01 7.805817e-01
## [6371] 1.048187e-01 3.962930e-02 8.525044e-01 1.823545e+00 2.622384e+00
## [6376] 4.081242e-01 1.421299e+00 1.048187e-01 1.004762e+00 2.574948e-02
## [6381] 3.687723e-01 3.952102e-02 1.048187e-01 5.583402e+00 2.256013e+00
## [6386] 8.900768e-03 6.349547e-01 4.471033e-03 8.908859e-01 3.117388e-01
## [6391] 1.463093e+00 8.444124e-02 5.107480e-01 8.963378e-01 2.574948e-02
## [6396] 8.900768e-03 6.349547e-01 1.298921e+00 5.291955e-02 6.349547e-01
## [6401] 1.069173e+00 4.632736e+00 3.763861e+00 6.219831e-01 8.900768e-03
## [6406] 2.834379e-02 7.671644e-01 3.044233e-01 2.276365e-01 1.048187e-01
## [6411] 7.528957e-01 2.834379e-02 5.420061e+00 5.779219e-01 2.213717e-02
## [6416] 7.897055e-01 2.872621e-01 1.517442e-02 1.616157e+00 2.275909e+00
## [6421] 3.920061e+00 2.788695e-01 1.421299e+00 1.823545e+00 2.574948e-02
## [6426] 4.631855e-03 2.342847e-03 3.332449e-01 1.059717e+01 2.263204e-01
## [6431] 4.923986e-01 1.616157e+00 1.238971e+00 2.494942e+00 1.987374e-03
## [6436] 3.097722e-02 4.203207e-01 5.152746e-01 1.616157e+00 9.239136e-01
## [6441] 2.841193e-01 1.987374e-03 6.349547e-01 6.515719e-03 1.421299e+00
## [6446] 1.421299e+00 2.043462e+00 3.167343e-01 5.642498e-02 2.574948e-02
## [6451] 1.048187e-01 8.998671e-02 3.961081e-01 4.597553e-01 4.702624e-02
## [6456] 3.097722e-02 4.203207e-01 3.964051e+00 2.018343e-01 2.321089e+00
## [6461] 2.757992e+00 1.807470e+00 2.757992e+00 1.973363e+01 5.680339e+00
## [6466] 9.404933e+00 5.680339e+00 2.595922e+00 1.152227e-01 1.048187e-01
## [6471] 1.987374e-03 4.792015e-02 1.494419e-01 3.019889e+00 4.081242e-01
## [6476] 9.963010e-02 1.048187e-01 2.371536e+00 1.226097e-01 2.008795e+00
## [6481] 2.493635e-02 4.792015e-02 1.494419e-01 1.179021e-01 4.873124e-01
## [6486] 2.595922e+00 1.152227e-01 5.583402e+00 2.256013e+00 7.603610e-03
## [6491] 2.834379e-02 7.646134e-02 4.818139e-01 3.684342e-01 2.791633e-01
## [6496] 2.494942e+00 3.962930e-02 1.048187e-01 6.349547e-01 1.287518e+00
## [6501] 2.834379e-02 2.314122e-01 2.574948e-02 6.031645e-02 5.266788e-01
## [6506] 1.616157e+00 9.119037e-01 1.616157e+00 4.768077e-03 4.752570e-01
## [6511] 1.618506e-01 9.119037e-01 3.044233e-01 1.618506e-01 1.375343e-01
## [6516] 7.951099e-01 9.128814e-01 4.288265e-03 6.219831e-01 1.987374e-03
## [6521] 3.363652e-02 2.390575e-01 1.553649e-01 8.900768e-03 1.553649e-01
## [6526] 2.541069e-03 5.152746e-01 1.069173e+00 1.052310e+00 5.897935e-03
## [6531] 4.482969e+00 1.536711e+00 2.043462e+00 4.443191e-03 1.922928e-01
## [6536] 3.019889e+00 1.553649e-01 3.274821e-01 1.760791e-01 9.023735e+00
## [6541] 1.987374e-03 4.443191e-03 1.922928e-01 2.494942e+00 1.553649e-01
## [6546] 2.131040e+00 3.202968e-01 2.063554e-01 4.768077e-03 4.752570e-01
## [6551] 2.520885e+00 6.349547e-01 2.371536e+00 1.226097e-01 6.396404e+00
## [6556] 1.975387e+00 1.618506e-01 4.081242e-01 1.987374e-03 6.349547e-01
## [6561] 2.321181e-03 1.157095e+00 6.515719e-03 1.421299e+00 3.097722e-02
## [6566] 4.203207e-01 3.097722e-02 4.203207e-01 2.079355e-03 5.855791e-01
## [6571] 5.383509e+00 3.726656e+00 2.595922e+00 1.152227e-01 7.671644e-01
## [6576] 1.052882e+00 3.202968e-01 2.063554e-01 1.987374e-03 6.349547e-01
## [6581] 8.900768e-03 1.618506e-01 1.987374e-03 6.928985e-01 6.471633e-01
## [6586] 2.020840e-01 2.595922e+00 1.152227e-01 2.314122e-01 1.421299e+00
## [6591] 2.793301e-01 1.138287e+00 3.202968e-01 1.120489e-01 6.219831e-01
## [6596] 1.618506e-01 6.471633e-01 2.020840e-01 7.392406e-01 1.824521e-02
## [6601] 7.603610e-03 2.834379e-02 7.783484e-01 1.161020e-01 2.092281e-01
## [6606] 1.310399e+00 5.477993e-03 2.960828e-01 3.977469e-01 5.291955e-02
## [6611] 4.341489e+00 3.757815e+00 2.236293e-01 4.081242e-01 3.920061e+00
## [6616] 2.706021e-01 9.963010e-02 2.834379e-02 5.477993e-03 2.960828e-01
## [6621] 2.574948e-02 1.048187e-01 6.219831e-01 2.314122e-01 1.553649e-01
## [6626] 2.574948e-02 8.242077e+00 5.843036e+00 4.768077e-03 4.752570e-01
## [6631] 1.069173e+00 1.421299e+00 1.401842e+00 1.142147e-02 1.987374e-03
## [6636] 2.314122e-01 4.792015e-02 1.494419e-01 8.900768e-03 9.119037e-01
## [6641] 7.392406e-01 1.824521e-02 7.671644e-01 1.052882e+00 7.646134e-02
## [6646] 4.818139e-01 4.792015e-02 1.494419e-01 7.603610e-03 2.834379e-02
## [6651] 2.494942e+00 6.219831e-01 3.019889e+00 3.220856e-01 2.574948e-02
## [6656] 1.048187e-01 6.219831e-01 1.987374e-03 2.757992e+00 3.215869e+00
## [6661] 1.987374e-03 2.314122e-01 3.626087e+00 3.044233e-01 1.618506e-01
## [6666] 3.370389e+00 1.807470e+00 4.928422e-01 1.553649e-01 1.048187e-01
## [6671] 2.020840e-01 8.007591e-01 1.987374e-03 9.119037e-01 5.642498e-02
## [6676] 3.687723e-01 1.220811e+00 1.896585e+00 2.131040e+00 7.392406e-01
## [6681] 1.824521e-02 6.219831e-01 1.553649e-01 3.202968e-01 1.120489e-01
## [6686] 3.202968e-01 2.063554e-01 7.392406e-01 1.824521e-02 3.048427e+00
## [6691] 2.263204e-01 4.923986e-01 5.291955e-02 5.382083e-01 1.618506e-01
## [6696] 4.081242e-01 4.443191e-03 1.922928e-01 6.396404e+00 1.975387e+00
## [6701] 3.098107e-03 2.034460e-01 3.202968e-01 1.120489e-01 2.371536e+00
## [6706] 1.226097e-01 8.444124e-02 5.107480e-01 1.230240e-01 4.730815e-01
## [6711] 4.385847e-01 2.834379e-02 6.349547e-01 1.290762e+00 1.559611e+00
## [6716] 3.901282e+00 1.432155e-01 3.097722e-02 4.203207e-01 3.097722e-02
## [6721] 4.203207e-01 1.046397e-01 1.069173e+00 4.107378e+00 3.735374e+00
## [6726] 1.288349e+01 8.226646e+00 1.238971e+00 1.823545e+00 1.651590e-01
## [6731] 1.802752e+00 1.528876e+00 1.824400e+00 4.768077e-03 4.752570e-01
## [6736] 2.232568e-01 1.021763e+00 2.314122e-01 9.119037e-01 3.724060e+00
## [6741] 3.771970e+00 2.321181e-03 1.157095e+00 8.998671e-02 3.961081e-01
## [6746] 1.553649e-01 2.314122e-01 1.595403e+00 2.236293e-01 4.768077e-03
## [6751] 4.752570e-01 2.834379e-02 2.314122e-01 7.783484e-01 1.161020e-01
## [6756] 5.642498e-02 1.618506e-01 3.301157e+00 3.044233e-01 1.048187e-01
## [6761] 8.084450e-02 3.215869e+00 7.671644e-01 1.052882e+00 4.471033e-03
## [6766] 8.908859e-01 7.715422e-02 9.739319e-01 6.728446e-01 6.031645e-02
## [6771] 4.792015e-02 1.494419e-01 4.792015e-02 1.494419e-01 5.382083e-01
## [6776] 1.823545e+00 1.595403e+00 3.249176e-03 3.535193e+00 1.698757e-02
## [6781] 5.494498e-01 4.928422e-01 1.987374e-03 6.349547e-01 4.895442e+00
## [6786] 8.963378e-01 4.385847e-01 1.292979e-01 5.638890e+00 6.259783e-01
## [6791] 5.638890e+00 6.259783e-01 1.553649e-01 2.834379e-02 8.998671e-02
## [6796] 6.349547e-01 1.210213e+01 2.251263e+00 6.930370e+00 4.081242e-01
## [6801] 1.238971e+00 2.275909e+00 2.622384e+00 7.671644e-01 1.069173e+00
## [6806] 4.276392e-02 1.186716e+00 7.505528e+00 2.992223e-01 3.626087e+00
## [6811] 3.220856e-01 3.976399e-03 3.977469e-01 2.574948e-02 6.219831e-01
## [6816] 1.987374e-03 3.977469e-01 2.757131e-01 2.020113e+00 2.236293e-01
## [6821] 6.219831e-01 1.987374e-03 5.583402e+00 2.256013e+00 1.178700e-02
## [6826] 1.781065e+00 2.745781e-03 1.460933e-01 1.516475e+00 2.314122e-01
## [6831] 2.236293e-01 9.119037e-01 1.434255e-01 1.310399e+00 2.236293e-01
## [6836] 2.574948e-02 3.715982e+00 9.963010e-02 1.238971e+00 2.043462e+00
## [6841] 2.965139e+00 6.515719e-03 6.219831e-01 2.574948e-02 6.396404e+00
## [6846] 1.975387e+00 1.906303e-02 7.671644e-01 7.603610e-03 3.097722e-02
## [6851] 2.834379e-02 2.314122e-01 2.965139e+00 6.515719e-03 6.358656e+00
## [6856] 4.106336e+00 5.571098e+01 9.937110e+01 2.371536e+00 1.226097e-01
## [6861] 1.401842e+00 1.142147e-02 3.097722e-02 4.203207e-01 1.618506e-01
## [6866] 9.119037e-01 1.290762e+00 1.807470e+00 3.202968e-01 1.120489e-01
## [6871] 3.097722e-02 4.203207e-01 2.314122e-01 1.421299e+00 8.998671e-02
## [6876] 3.961081e-01 4.756372e+00 2.834379e-02 4.756372e+00 2.834379e-02
## [6881] 2.314122e-01 9.119037e-01 4.106336e+00 3.804309e+00 1.053933e+00
## [6886] 1.142147e-02 5.731264e-01 3.314252e-01 1.421299e+00 2.043462e+00
## [6891] 7.392406e-01 1.824521e-02 8.755016e-01 2.576350e-01 2.834379e-02
## [6896] 2.314122e-01 1.069173e+00 3.726656e+00 2.314122e-01 2.043462e+00
## [6901] 4.471033e-03 8.908859e-01 1.595403e+00 9.963010e-02 1.477763e+00
## [6906] 4.494808e-01 2.236293e-01 2.574948e-02 2.236293e-01 2.574948e-02
## [6911] 2.236293e-01 1.048187e-01 2.444226e+00 2.618975e+00 2.043462e+00
## [6916] 2.520885e+00 1.466247e+00 7.404140e-02 2.595922e+00 1.152227e-01
## [6921] 1.153861e+01 1.238971e+00 2.396831e+00 2.494942e+00 3.952102e-02
## [6926] 1.069173e+00 1.421299e+00 4.768077e-03 4.752570e-01 5.642498e-02
## [6931] 1.747606e-01 2.972171e-01 1.181002e+00 7.715422e-02 9.739319e-01
## [6936] 2.494942e+00 1.910008e+00 2.685924e+00 9.187529e-02 2.685924e+00
## [6941] 9.187529e-02 9.963010e-02 2.314122e-01 1.651590e-01 1.802752e+00
## [6946] 1.006740e+00 4.674017e-02 1.265905e+01 1.329524e+00 1.220811e+00
## [6951] 9.963010e-02 1.801493e+00 8.963378e-01 2.236293e-01 3.135034e-01
## [6956] 6.219831e-01 3.135034e-01 1.645751e+00 3.516230e-02 4.505049e+00
## [6961] 3.979235e-03 2.574948e-02 1.421299e+00 1.618506e-01 5.152746e-01
## [6966] 6.358656e+00 4.632736e+00 2.275909e+00 2.622384e+00 6.349547e-01
## [6971] 1.435758e+00 1.142147e-02 2.494942e+00 3.952102e-02 7.078164e+00
## [6976] 3.742065e-01 1.381048e+01 2.043462e+00 4.081242e-01 7.671644e-01
## [6981] 8.900768e-03 6.031645e-02 2.263204e-01 4.923986e-01 7.973954e-01
## [6986] 2.423263e+00 2.105142e+00 6.959058e-02 9.963010e-02 9.119037e-01
## [6991] 9.239136e-01 2.841193e-01 4.491074e-01 2.834379e-02 2.321181e-03
## [6996] 1.157095e+00 3.273477e+00 1.553649e-01 2.541069e-03 1.210213e+01
## [7001] 6.219831e-01 1.801493e+00 3.044233e-01 7.558177e+00 5.383509e+00
## [7006] 1.088305e+00 2.439092e-02 1.063034e+01 7.558177e+00 2.530118e+00
## [7011] 4.081242e-01 1.261279e-01 1.186716e+00 3.927276e+00 3.846531e+00
## [7016] 3.804309e+00 3.737436e+00 4.484246e+00 1.844215e+00 2.400868e+00
## [7021] 6.731670e-03 9.804442e-03 5.724957e-01 2.302678e-03 3.071742e-01
## [7026] 2.060262e+00 2.321089e+00 2.827059e+01 6.349547e-01 2.494942e+00
## [7031] 3.952102e-02 3.044233e-01 2.276365e-01 3.858660e+00 2.236293e-01
## [7036] 1.069173e+00 1.616157e+00 6.031645e-02 6.349547e-01 7.603610e-03
## [7041] 2.834379e-02 7.392406e-01 1.824521e-02 1.466247e+00 7.404140e-02
## [7046] 1.401842e+00 1.142147e-02 4.792015e-02 1.494419e-01 4.792015e-02
## [7051] 1.494419e-01 1.220811e+00 1.987374e-03 8.900768e-03 3.135034e-01
## [7056] 7.392406e-01 3.430273e-02 3.952102e-02 1.048187e-01 1.987374e-03
## [7061] 4.709109e-01 1.553649e-01 4.081242e-01 1.466247e+00 7.404140e-02
## [7066] 2.595922e+00 1.152227e-01 1.987374e-03 1.618506e-01 2.595922e+00
## [7071] 1.152227e-01 1.401842e+00 1.142147e-02 4.060269e+00 4.081242e-01
## [7076] 3.301157e+00 2.665154e-01 1.048187e-01 6.349547e-01 4.768077e-03
## [7081] 4.752570e-01 4.276392e-02 1.186716e+00 6.728862e+00 5.216995e-01
## [7086] 7.528957e-01 2.236293e-01 5.642498e-02 1.178700e-02 2.574948e-02
## [7091] 6.349547e-01 6.219831e-01 8.900768e-03 1.987374e-03 6.349547e-01
## [7096] 5.973042e-01 3.687723e-01 5.152746e-01 1.616157e+00 1.048187e-01
## [7101] 2.263204e-01 4.923986e-01 2.574948e-02 6.031645e-02 2.706021e-01
## [7106] 6.821453e-02 1.220811e+00 1.987374e-03 9.999749e+00 3.158957e+00
## [7111] 2.020840e-01 7.951099e-01 3.964051e+00 2.872621e-01 6.396404e+00
## [7116] 1.975387e+00 1.401842e+00 1.142147e-02 2.236293e-01 1.987374e-03
## [7121] 1.516475e+00 2.730313e-03 8.799459e-01 1.972903e-02 1.553649e-01
## [7126] 8.900768e-03 2.020113e+00 9.963010e-02 5.569160e-01 1.989539e+00
## [7131] 7.603610e-03 9.453368e+00 2.167519e+00 1.887438e+00 8.900768e-03
## [7136] 2.020113e+00 3.373595e-02 1.492276e-01 3.498481e-01 1.048187e-01
## [7141] 1.004762e+00 2.574948e-02 4.494808e-01 5.642498e-02 4.655064e-01
## [7146] 5.620864e+00 2.468281e-01 4.605711e+00 6.693221e-03 3.626087e+00
## [7151] 1.220811e+00 5.036002e-01 8.444124e-02 5.107480e-01 7.805817e-01
## [7156] 2.574948e-02 6.219831e-01 1.553649e-01 1.645751e+00 3.516230e-02
## [7161] 3.853560e-03 7.951099e-01 2.042664e+00 1.787313e-01 2.574948e-02
## [7166] 9.119037e-01 1.716947e-01 1.438703e+00 4.285519e-01 1.274435e+00
## [7171] 1.306679e+00 2.520885e+00 3.920061e+00 2.788695e-01 3.920061e+00
## [7176] 2.788695e-01 2.574948e-02 1.543453e-01 9.963010e-02 2.314122e-01
## [7181] 1.401842e+00 2.834379e-02 2.212818e-02 1.452474e+00 1.987374e-03
## [7186] 2.314122e-01 1.069173e+00 1.421299e+00 1.220811e+00 2.574948e-02
## [7191] 7.694472e-01 4.601332e-01 2.314122e-01 7.671644e-01 3.202968e-01
## [7196] 1.120489e-01 2.574948e-02 1.048187e-01 2.494942e+00 1.553649e-01
## [7201] 5.291955e-02 5.382083e-01 1.238971e+00 2.396831e+00 4.081242e-01
## [7206] 1.102130e+00 1.618506e-01 4.081242e-01 9.119037e-01 1.238971e+00
## [7211] 6.219831e-01 6.031645e-02 2.622384e+00 2.314122e-01 1.048187e-01
## [7216] 1.421299e+00 2.595922e+00 1.152227e-01 1.987374e-03 6.349547e-01
## [7221] 1.466247e+00 7.404140e-02 3.977469e-01 5.642498e-02 9.963010e-02
## [7226] 1.987374e-03 1.987374e-03 1.048187e-01 1.401842e+00 1.142147e-02
## [7231] 6.219831e-01 1.238971e+00 2.857143e+00 6.821453e-02 1.751920e+00
## [7236] 3.215869e+00 7.694472e-01 4.995193e-01 2.834379e-02 4.081242e-01
## [7241] 5.583402e+00 2.256013e+00 8.963378e-01 2.565806e-03 2.530118e+00
## [7246] 2.618975e+00 3.108818e+00 2.618975e+00 3.108818e+00 2.574948e-02
## [7251] 6.031645e-02 2.314122e-01 7.671644e-01 2.494942e+00 1.910008e+00
## [7256] 1.887438e+00 8.900768e-03 1.048187e-01 9.119037e-01 2.314122e-01
## [7261] 6.349547e-01 1.492276e-01 3.498481e-01 2.757131e-01 2.757131e-01
## [7266] 8.900768e-03 5.735484e-01 8.963378e-01 3.044233e-01 1.492276e-01
## [7271] 3.498481e-01 2.020840e-01 7.951099e-01 1.220811e+00 6.515719e-03
## [7276] 5.620864e+00 1.048187e-01 8.900768e-03 1.261279e-01 2.544433e-01
## [7281] 2.834379e-02 2.020840e-01 7.951099e-01 1.751920e+00 3.215869e+00
## [7286] 5.620864e+00 6.219831e-01 6.031645e-02 5.039957e-01 2.595922e+00
## [7291] 1.152227e-01 4.081242e-01 5.291955e-02 5.382083e-01 8.084450e-02
## [7296] 1.048187e-01 4.341489e+00 3.757815e+00 2.314122e-01 7.671644e-01
## [7301] 4.443191e-03 1.922928e-01 3.044233e-01 2.574948e-02 7.528957e-01
## [7306] 3.044233e-01 7.392406e-01 1.824521e-02 8.900768e-03 1.004762e+00
## [7311] 2.520885e+00 1.763472e+00 7.123063e-01 1.357252e+00 1.215126e-01
## [7316] 2.236293e-01 1.987374e-03 1.684539e+00 7.389158e-02 5.494498e-01
## [7321] 4.928422e-01 2.236293e-01 8.900768e-03 1.401842e+00 6.219831e-01
## [7326] 9.963010e-02 3.314252e-01 5.001060e+00 2.236293e-01 5.308694e-01
## [7331] 2.073610e-03 8.444124e-02 5.107480e-01 7.671644e-01 1.238971e+00
## [7336] 2.960828e-01 1.536711e+00 8.087690e-01 7.220347e-02 8.900768e-03
## [7341] 6.031645e-02 5.152746e-01 1.616157e+00 2.236293e-01 3.135034e-01
## [7346] 6.985429e-02 7.370032e-01 2.314122e-01 1.238971e+00 2.834379e-02
## [7351] 6.349547e-01 1.987374e-03 2.314122e-01 2.834379e-02 3.135034e-01
## [7356] 5.420061e+00 5.779219e-01 5.420061e+00 5.779219e-01 6.728446e-01
## [7361] 6.031645e-02 4.081242e-01 1.102130e+00 1.186108e+00 1.595403e+00
## [7366] 5.262744e-01 2.834379e-02 4.081242e-01 1.987374e-03 6.349547e-01
## [7371] 2.574948e-02 4.081242e-01 3.202968e-01 1.120489e-01 1.482286e-01
## [7376] 1.536711e+00 9.963010e-02 1.987374e-03 1.553649e-01 2.834379e-02
## [7381] 2.042664e+00 4.276392e-02 3.495189e-01 5.642498e-02 4.106336e+00
## [7386] 3.936723e+00 8.963378e-01 6.210698e-02 1.401842e+00 6.210698e-02
## [7391] 6.326205e+00 3.934707e+00 6.031645e-02 3.135034e-01 3.901282e+00
## [7396] 1.553649e-01 9.963010e-02 2.834379e-02 1.592078e-01 6.172962e-01
## [7401] 1.801493e+00 6.031645e-02 6.396404e+00 1.555688e+00 4.830943e+00
## [7406] 6.820298e-01 1.959809e+00 3.270519e+00 2.314122e-01 6.349547e-01
## [7411] 1.466247e+00 7.404140e-02 1.618506e-01 1.069173e+00 1.048187e-01
## [7416] 1.238971e+00 2.314122e-01 6.349547e-01 1.645751e+00 3.516230e-02
## [7421] 5.973042e-01 3.651612e-02 2.574948e-02 6.031645e-02 6.349547e-01
## [7426] 6.219831e-01 1.987374e-03 2.574948e-02 2.314122e-01 2.494942e+00
## [7431] 6.219831e-01 1.987374e-03 2.314122e-01 1.987374e-03 6.349547e-01
## [7436] 7.661381e-02 3.749616e+00 5.779219e-01 2.544433e-01 2.834379e-02
## [7441] 6.219831e-01 2.574948e-02 7.392406e-01 1.824521e-02 2.314122e-01
## [7446] 5.152746e-01 3.495189e-01 1.553649e-01 7.392406e-01 1.824521e-02
## [7451] 7.603610e-03 1.866526e+00 1.801493e+00 3.044233e-01 1.492276e-01
## [7456] 3.498481e-01 1.481313e-02 3.498481e-01 2.872621e-01 1.906303e-02
## [7461] 2.834379e-02 2.314122e-01 1.492276e-01 3.498481e-01 2.320551e-01
## [7466] 3.057766e-01 2.834379e-02 2.314122e-01 2.400868e+00 6.731670e-03
## [7471] 2.314122e-01 4.081242e-01 5.001060e+00 2.236293e-01 4.193375e+00
## [7476] 3.846531e+00 3.534924e-02 2.075880e-02 3.770776e+00 3.738012e+00
## [7481] 6.406363e-02 1.261279e-01 9.963010e-02 4.081242e-01 2.574948e-02
## [7486] 1.421299e+00 1.844215e+00 2.544433e-01 1.048187e-01 1.987374e-03
## [7491] 6.349547e-01 3.102954e+00 6.420284e-02 1.048187e-01 9.119037e-01
## [7496] 2.574948e-02 6.031645e-02 1.618506e-01 1.553649e-01 7.603610e-03
## [7501] 4.768077e-03 4.752570e-01 1.987374e-03 2.834379e-02 2.020840e-01
## [7506] 7.810745e-01 9.963010e-02 1.048187e-01 8.900768e-03 1.261279e-01
## [7511] 8.900768e-03 6.349547e-01 1.553649e-01 2.314122e-01 8.900768e-03
## [7516] 3.135034e-01 1.987374e-03 1.987374e-03 6.349547e-01 1.987374e-03
## [7521] 1.317685e-01 1.434255e-01 2.470887e+00 3.019889e+00 1.553649e-01
## [7526] 3.048427e+00 3.048427e+00 2.494942e+00 1.910008e+00 8.963378e-01
## [7531] 2.574948e-02 3.749616e+00 5.779219e-01 1.041900e+00 2.473550e+00
## [7536] 1.220811e+00 6.515719e-03 1.987374e-03 6.349547e-01 2.415601e+00
## [7541] 2.805380e-01 1.987374e-03 1.987374e-03 3.048427e+00 2.314122e-01
## [7546] 7.671644e-01 2.574948e-02 6.031645e-02 4.001390e+00 1.085008e+00
## [7551] 1.178700e-02 1.069173e+00 1.823545e+00 2.367682e-03 2.468281e-01
## [7556] 2.834379e-02 2.314122e-01 1.987374e-03 4.081242e-01 2.298996e+00
## [7561] 6.471633e-01 3.977469e-01 7.603610e-03 1.801493e+00 3.044233e-01
## [7566] 3.977469e-01 2.574948e-02 6.349547e-01 1.048187e-01 3.135034e-01
## [7571] 5.012073e+00 3.943315e+00 5.152746e-01 1.616157e+00 7.392406e-01
## [7576] 1.824521e-02 4.385847e-01 4.928751e-02 3.202968e-01 1.120489e-01
## [7581] 1.048187e-01 1.421299e+00 1.553649e-01 2.314122e-01 7.646134e-02
## [7586] 4.818139e-01 1.421299e+00 2.043462e+00 2.872621e-01 1.906303e-02
## [7591] 8.900768e-03 6.349547e-01 3.406162e+02 1.553649e-01 2.314122e-01
## [7596] 1.553649e-01 2.314122e-01 6.219831e-01 8.900768e-03 5.012073e+00
## [7601] 4.125944e+00 8.900768e-03 6.349547e-01 4.385847e-01 4.928751e-02
## [7606] 6.396404e+00 1.975387e+00 2.314122e-01 7.671644e-01 8.900768e-03
## [7611] 6.031645e-02 6.349547e-01 1.310399e+00 1.633544e+00 3.266484e+00
## [7616] 2.574948e-02 2.314122e-01 3.977469e-01 1.987374e-03 1.618506e-01
## [7621] 2.314122e-01 7.671644e-01 1.987374e-03 6.349547e-01 2.722346e+00
## [7626] 3.209273e+00 2.972171e-01 1.181002e+00 1.553649e-01 2.834379e-02
## [7631] 2.314122e-01 7.671644e-01 2.470010e+00 2.012470e-03 1.950652e-01
## [7636] 6.349547e-01 2.470010e+00 2.012470e-03 2.275909e+00 2.622384e+00
## [7641] 2.470010e+00 2.012470e-03 2.195483e+00 3.977469e-01 2.314122e-01
## [7646] 1.375343e-01 5.382083e-01 8.963378e-01 1.987374e-03 8.963378e-01
## [7651] 1.987374e-03 8.963378e-01 1.048187e-01 2.665154e-01 3.363652e-02
## [7656] 5.702023e-01 1.776845e+00 8.963378e-01 1.987374e-03 5.924285e-01
## [7661] 1.936765e-01 1.048187e-01 1.238971e+00 5.291955e-02 5.382083e-01
## [7666] 1.987374e-03 6.349547e-01 2.574948e-02 6.031645e-02 1.085008e+00
## [7671] 1.178700e-02 2.111793e-02 1.048187e-01 2.972171e-01 1.181002e+00
## [7676] 1.052310e+00 1.987374e-03 2.298996e+00 6.471633e-01 3.402492e-01
## [7681] 3.853560e-03 2.751151e+00 3.044233e-01 1.112582e+02 3.747650e+00
## [7686] 2.571210e+00 3.096724e+00 8.998671e-02 3.961081e-01 2.107749e+00
## [7691] 2.834379e-02 2.314122e-01 1.421299e+00 2.043462e+00 2.520885e+00
## [7696] 6.821453e-02 1.747606e-01 6.970889e-02 2.468281e-01 1.716947e-01
## [7701] 1.438703e+00 6.349547e-01 1.823545e+00 6.219831e-01 1.220811e+00
## [7706] 6.515719e-03 1.820282e+00 3.266484e+00 4.081242e-01 1.616157e+00
## [7711] 2.520885e+00 2.314122e-01 7.671644e-01 1.987374e-03 6.349547e-01
## [7716] 2.722346e+00 3.209273e+00 3.977469e-01 6.031645e-02 1.261279e-01
## [7721] 1.186716e+00 1.315674e-01 4.081242e-01 4.385847e-01 2.314122e-01
## [7726] 2.972171e-01 1.181002e+00 2.314122e-01 7.671644e-01 3.977469e-01
## [7731] 4.814272e-01 1.110010e-01 6.471633e-01 9.362248e-01 5.642498e-02
## [7736] 1.618506e-01 1.595403e+00 5.262744e-01 1.048187e-01 9.119037e-01
## [7741] 1.987374e-03 6.349547e-01 1.595403e+00 1.987374e-03 4.768077e-03
## [7746] 4.752570e-01 1.048187e-01 6.349547e-01 1.085008e+00 1.178700e-02
## [7751] 2.236293e-01 2.314122e-01 2.574948e-02 6.031645e-02 4.491074e-01
## [7756] 2.834379e-02 3.229288e-03 1.048187e-01 1.823545e+00 2.275909e+00
## [7761] 2.053885e-01 2.574948e-02 2.022532e+00 2.473550e+00 5.642498e-02
## [7766] 6.031645e-02 9.963010e-02 1.618506e-01 5.152746e-01 1.616157e+00
## [7771] 1.048187e-01 7.671644e-01 7.123063e-01 2.730313e-03 5.595693e-01
## [7776] 6.216628e-02 2.314122e-01 5.494498e-01 6.603943e-01 1.220811e+00
## [7781] 3.651612e-02 7.593884e-01 1.450640e+00 4.009659e+00 3.732932e+00
## [7786] 2.342847e-03 3.332449e-01 7.671644e-01 3.135034e-01 1.097747e-01
## [7791] 6.349547e-01 1.310399e+00 2.314122e-01 7.671644e-01 4.081242e-01
## [7796] 1.616157e+00 2.520885e+00 3.202968e-01 1.120489e-01 1.987374e-03
## [7801] 6.349547e-01 1.595403e+00 6.693221e-03 7.392406e-01 1.824521e-02
## [7806] 2.574948e-02 1.421299e+00 2.722346e+00 3.209273e+00 9.884174e-01
## [7811] 2.730313e-03 2.834379e-02 2.314122e-01 4.081242e-01 1.616157e+00
## [7816] 1.485465e+00 8.084450e-02 1.980818e+00 2.107749e+00 2.157299e+00
## [7821] 2.706021e-01 1.553649e-01 1.987374e-03 1.048187e-01 9.119037e-01
## [7826] 5.642498e-02 1.747606e-01 1.948199e-01 8.551426e-02 5.620864e+00
## [7831] 1.048187e-01 8.998671e-02 3.961081e-01 2.960828e-01 7.397201e-01
## [7836] 5.012073e+00 4.009659e+00 5.152746e-01 1.616157e+00 1.517651e+01
## [7841] 4.814272e-01 1.110010e-01 3.977469e-01 6.031645e-02 6.349547e-01
## [7846] 1.616157e+00 3.927832e-01 2.707406e-02 1.048187e-01 6.349547e-01
## [7851] 2.574948e-02 4.285519e-01 2.494942e+00 1.987374e-03 7.805817e-01
## [7856] 2.574948e-02 6.031645e-02 2.314122e-01 6.984680e-01 1.633544e+00
## [7861] 2.574948e-02 6.031645e-02 1.987374e-03 6.349547e-01 2.314122e-01
## [7866] 7.671644e-01 1.820282e+00 2.986655e+00 4.220090e-01 1.048187e-01
## [7871] 4.220090e-01 1.048187e-01 1.899329e+00 1.595403e+00 6.693221e-03
## [7876] 2.314122e-01 7.671644e-01 2.834379e-02 2.314122e-01 8.998671e-02
## [7881] 3.961081e-01 1.238971e+00 3.202968e-01 1.120489e-01 6.031645e-02
## [7886] 4.081242e-01 7.603610e-03 2.834379e-02 7.528957e-01 1.987374e-03
## [7891] 2.162390e-01 6.821453e-02 2.236293e-01 2.314122e-01 3.202968e-01
## [7896] 1.120489e-01 1.553649e-01 8.900768e-03 1.801493e+00 1.553649e-01
## [7901] 3.809283e+00 2.574948e-02 9.119037e-01 1.820282e+00 3.266484e+00
## [7906] 8.900768e-03 3.135034e-01 5.642498e-02 6.031645e-02 8.444124e-02
## [7911] 5.107480e-01 4.660130e+00 3.734335e+00 6.219831e-01 2.574948e-02
## [7916] 2.722346e+00 3.209273e+00 5.924285e-01 1.936765e-01 6.349547e-01
## [7921] 8.390936e-01 1.048187e-01 6.349547e-01 5.884780e+00 4.125944e+00
## [7926] 1.618506e-01 4.081242e-01 5.642498e-02 1.747606e-01 3.249176e-03
## [7931] 4.709109e-01 1.987374e-03 6.349547e-01 2.574948e-02 6.031645e-02
## [7936] 2.314122e-01 7.671644e-01 4.768077e-03 4.752570e-01 6.349547e-01
## [7941] 1.823545e+00 2.314122e-01 7.671644e-01 2.022532e+00 3.266484e+00
## [7946] 6.396404e+00 1.975387e+00 5.583402e+00 2.256013e+00 8.084450e-02
## [7951] 1.048187e-01 5.291955e-02 5.382083e-01 3.088221e-02 2.627451e-01
## [7956] 7.528957e-01 2.872621e-01 3.202968e-01 1.120489e-01 2.371536e+00
## [7961] 1.226097e-01 1.820282e+00 1.811671e-01 9.491591e-02 7.528957e-01
## [7966] 2.872621e-01 6.515719e-03 5.855791e-01 8.998671e-02 3.961081e-01
## [7971] 1.595403e+00 5.262744e-01 6.031645e-02 6.349547e-01 1.238971e+00
## [7976] 1.823545e+00 6.031645e-02 6.349547e-01 3.817136e+00 3.777470e+00
## [7981] 1.553649e-01 6.031645e-02 1.238971e+00 1.645751e+00 3.516230e-02
## [7986] 4.759622e-01 2.918059e-01 1.645751e+00 3.516230e-02 1.645751e+00
## [7991] 3.516230e-02 1.645751e+00 3.516230e-02 4.759622e-01 2.918059e-01
## [7996] 8.374574e-01 1.375343e-01 5.620864e+00 5.262744e-01 7.392406e-01
## [8001] 1.824521e-02 2.749190e+00 3.202968e-01 1.120489e-01 2.722346e+00
## [8006] 3.209273e+00 7.392406e-01 1.824521e-02 7.528957e-01 3.044233e-01
## [8011] 3.202968e-01 1.120489e-01 2.371536e+00 1.226097e-01 2.574948e-02
## [8016] 6.031645e-02 1.987374e-03 6.349547e-01 4.081242e-01 7.671644e-01
## [8021] 3.202968e-01 1.120489e-01 7.528957e-01 2.872621e-01 1.265905e+01
## [8026] 4.220090e-01 1.048187e-01 1.401842e+00 1.142147e-02 8.998671e-02
## [8031] 3.961081e-01 7.392406e-01 1.824521e-02 5.884780e+00 4.364637e+00
## [8036] 3.202968e-01 1.120489e-01 2.486749e-02 8.007591e-01 9.999749e+00
## [8041] 6.031645e-02 2.972171e-01 1.181002e+00 7.991348e-01 3.447526e+00
## [8046] 3.382756e+00 6.471633e-01 2.468281e-01 1.553649e-01 1.987374e-03
## [8051] 6.606593e-03 1.794241e-01 1.048187e-01 6.349547e-01 9.963010e-02
## [8056] 8.900768e-03 6.031645e-02 6.349547e-01 2.371536e+00 1.226097e-01
## [8061] 1.879309e-01 6.821453e-02 3.202968e-01 1.120489e-01 4.504633e-01
## [8066] 9.290913e-03 1.048187e-01 5.152746e-01 2.133907e-01 1.854139e-02
## [8071] 6.802968e+00 1.401842e+00 2.199335e+00 1.204706e-02 7.805817e-01
## [8076] 2.574948e-02 4.285519e-01 1.274435e+00 2.574948e-02 4.285519e-01
## [8081] 1.166486e+00 2.624601e-01 1.206127e-01 2.574948e-02 9.119037e-01
## [8086] 1.335872e+00 2.746829e+00 1.375343e-01 4.081242e-01 8.963378e-01
## [8091] 5.291955e-02 9.963010e-02 2.834379e-02 2.371536e+00 1.226097e-01
## [8096] 1.401842e+00 2.889557e-01 1.048187e-01 9.119037e-01 2.314122e-01
## [8101] 6.349547e-01 1.069173e+00 1.310399e+00 3.088221e-02 4.081242e-01
## [8106] 5.291955e-02 5.382083e-01 2.722346e+00 3.209273e+00 7.528957e-01
## [8111] 2.574948e-02 8.998671e-02 3.961081e-01 3.817136e+00 3.734335e+00
## [8116] 2.574948e-02 1.048187e-01 2.251263e+00 2.236293e-01 6.031645e-02
## [8121] 6.349547e-01 1.220811e+00 1.987374e-03 5.837029e-01 1.178700e-02
## [8126] 2.020113e+00 9.963010e-02 5.837029e-01 1.178700e-02 1.987374e-03
## [8131] 6.349547e-01 2.314122e-01 7.671644e-01 3.768576e+00 1.866526e+00
## [8136] 3.096724e+00 3.439420e-01 2.943683e-01 1.987374e-03 1.375343e-01
## [8141] 3.901282e+00 6.406363e-02 2.430266e-02 3.408677e-02 1.383831e+00
## [8146] 6.970889e-02 2.468281e-01 1.048187e-01 6.349547e-01 5.787512e+00
## [8151] 5.012073e+00 1.238971e+00 2.396831e+00 1.844215e+00 2.544433e-01
## [8156] 2.236293e-01 2.834379e-02 1.401842e+00 1.142147e-02 6.031645e-02
## [8161] 6.349547e-01 7.392406e-01 1.824521e-02 2.020113e+00 1.567772e-01
## [8166] 5.620864e+00 1.048187e-01 5.036002e-01 1.553649e-01 7.603610e-03
## [8171] 4.081242e-01 1.881717e-01 8.452205e-01 9.963010e-02 1.987374e-03
## [8176] 2.236293e-01 6.349547e-01 7.127770e-01 9.119037e-01 6.219831e-01
## [8181] 2.574948e-02 8.963378e-01 2.236293e-01 3.019889e+00 2.236293e-01
## [8186] 8.963378e-01 1.335840e-02 2.236293e-01 6.349547e-01 1.238971e+00
## [8191] 2.396831e+00 1.261279e-01 1.186716e+00 5.152746e-01 1.616157e+00
## [8196] 1.553649e-01 1.950652e-01 1.097747e-01 2.791633e-01 6.937505e-01
## [8201] 5.312755e-01 2.571210e+00 3.266484e+00 5.494498e-01 6.603943e-01
## [8206] 2.574948e-02 4.081242e-01 3.202968e-01 1.120489e-01 3.626087e+00
## [8211] 1.310399e+00 2.622384e+00 9.963010e-02 1.048187e-01 1.987374e-03
## [8216] 7.671644e-01 1.310399e+00 2.938909e+00 9.564128e+00 1.611429e+00
## [8221] 8.900768e-03 3.135034e-01 1.310399e+00 2.622384e+00 1.673709e-01
## [8226] 1.043117e-01 7.694472e-01 4.995193e-01 1.870088e+00 9.362248e-01
## [8231] 1.102130e+00 2.323902e+00 1.238971e+00 6.219831e-01 8.686514e+00
## [8236] 5.642498e-02 3.964040e+00 3.202968e-01 1.120489e-01 8.998671e-02
## [8241] 3.961081e-01 1.047062e+01 1.401842e+00 2.889557e-01 3.202968e-01
## [8246] 1.120489e-01 1.401842e+00 1.142147e-02 3.202968e-01 1.120489e-01
## [8251] 4.494808e-01 7.603610e-03 3.159949e+00 1.069173e+00 1.823545e+00
## [8256] 7.603610e-03 3.159949e+00 6.406038e+00 5.012073e+00 4.768077e-03
## [8261] 4.752570e-01 3.044233e-01 2.520885e+00 3.202968e-01 1.120489e-01
## [8266] 7.603610e-03 3.159949e+00 8.084450e-02 1.048187e-01 1.827471e-01
## [8271] 9.701899e-01 2.314122e-01 2.275909e+00 3.202968e-01 1.120489e-01
## [8276] 4.220090e-01 1.048187e-01 8.998671e-02 3.961081e-01 1.987374e-03
## [8281] 2.314122e-01 3.373595e-02 2.020840e-01 3.202968e-01 1.120489e-01
## [8286] 3.044051e-02 1.046401e+00 3.044233e-01 2.520885e+00 3.202968e-01
## [8291] 1.120489e-01 1.401842e+00 1.142147e-02 6.219831e-01 1.553649e-01
## [8296] 3.202968e-01 1.120489e-01 2.745781e-03 6.811068e-01 3.135034e-01
## [8301] 7.671644e-01 1.401842e+00 1.781065e+00 3.044233e-01 2.520885e+00
## [8306] 2.722346e+00 3.209273e+00 6.821453e-02 6.863350e-01 5.152746e-01
## [8311] 1.953992e+00 2.181426e+00 3.443167e+01 1.116966e-02 3.071742e-01
## [8316] 2.075433e+01 1.633544e+00 2.986655e+00 9.963010e-02 1.987374e-03
## [8321] 2.236293e-01 2.574948e-02 4.494808e-01 6.219831e-01 1.987374e-03
## [8326] 2.114919e+01 3.722774e-01 2.771702e-02 2.972171e-01 1.181002e+00
## [8331] 5.620864e+00 1.401842e+00 5.837029e-01 1.178700e-02 4.276707e-01
## [8336] 2.108569e-02 2.571210e+00 3.266484e+00 1.563240e+00 1.291680e-02
## [8341] 6.219831e-01 5.837029e-01 1.178700e-02 1.781713e+00 9.119037e-01
## [8346] 6.199286e-01 1.306679e+00 6.219831e-01 2.236293e-01 4.494808e-01
## [8351] 1.069173e+00 8.963378e-01 2.236293e-01 5.642498e-02 8.551426e-02
## [8356] 1.048187e-01 4.081242e-01 8.555792e+00 5.790374e+00 6.031645e-02
## [8361] 2.061031e-01 8.460166e-02 4.253866e+00 2.834379e-02 4.081242e-01
## [8366] 2.574948e-02 1.069173e+00 2.494942e+00 1.910008e+00 3.439420e-01
## [8371] 2.943683e-01 6.219831e-01 8.900768e-03 1.595323e+00 6.574314e-03
## [8376] 1.052310e+00 2.111793e-02 1.595323e+00 6.574314e-03 2.520885e+00
## [8381] 2.706021e-01 6.412676e-01 1.681158e+00 1.883093e+00 2.200415e-02
## [8386] 2.167770e+00 2.202881e-01 1.553649e-01 1.987374e-03 8.963378e-01
## [8391] 2.236293e-01 3.249176e-03 1.261279e-01 3.977469e-01 6.031645e-02
## [8396] 1.048187e-01 4.081242e-01 4.276707e-01 2.108569e-02 2.574948e-02
## [8401] 1.069173e+00 1.151907e+00 8.132629e-03 5.126097e-01 9.204279e-02
## [8406] 5.152746e-01 4.276707e-01 2.108569e-02 8.087690e-01 3.853560e-03
## [8411] 4.276707e-01 2.108569e-02 4.081242e-01 6.603943e-01 4.276707e-01
## [8416] 2.108569e-02 4.276707e-01 2.108569e-02 4.276707e-01 2.108569e-02
## [8421] 6.219831e-01 6.031645e-02 8.087690e-01 3.853560e-03 4.276707e-01
## [8426] 2.108569e-02 4.276707e-01 2.108569e-02 4.276707e-01 2.108569e-02
## [8431] 5.194195e-01 9.980467e-02 1.048187e-01 1.102130e+00 6.349547e-01
## [8436] 2.043462e+00 4.364637e+00 3.943315e+00 2.208326e-02 5.831629e-01
## [8441] 2.571210e+00 3.266484e+00 1.987374e-03 5.691980e+00 1.178700e-02
## [8446] 3.498481e-01 3.561825e+00 5.126097e-01 9.204279e-02 5.126097e-01
## [8451] 9.204279e-02 5.126097e-01 9.204279e-02 3.977469e-01 6.031645e-02
## [8456] 6.031645e-02 1.238971e+00 2.574948e-02 1.069173e+00 2.061031e-01
## [8461] 8.460166e-02 2.043462e+00 2.022532e+00 2.520885e+00 2.834379e-02
## [8466] 5.152746e-01 4.364637e+00 3.943315e+00 3.977469e-01 2.834379e-02
## [8471] 6.349547e-01 2.043462e+00 2.236293e-01 5.642498e-02 4.494808e-01
## [8476] 4.253866e+00 3.977469e-01 6.031645e-02 2.147760e-01 5.477993e-03
## [8481] 4.792374e-01 1.120489e-01 1.314834e+00 2.569950e-01 1.987374e-03
## [8486] 6.349547e-01 1.950652e-01 6.349547e-01 5.434810e+00 3.019889e+00
## [8491] 4.586549e+00 4.597553e-01 8.235566e-01 1.497739e+00 6.349547e-01
## [8496] 2.043462e+00 4.606371e-02 5.960257e-01 2.494942e+00 1.910008e+00
## [8501] 6.821453e-02 6.863350e-01 4.276707e-01 2.108569e-02 2.240267e+00
## [8506] 5.291955e-02 3.687723e-01 1.204205e-01 2.834379e-02 1.052310e+00
## [8511] 4.928751e-02 5.620864e+00 1.048187e-01 2.494942e+00 1.910008e+00
## [8516] 2.236293e-01 1.987374e-03 4.889910e+00 2.494942e+00 1.910008e+00
## [8521] 4.276707e-01 2.108569e-02 6.994933e-01 9.821384e-01 1.591205e-02
## [8526] 1.633544e+00 2.520885e+00 2.565806e-03 1.023963e-01 5.642498e-02
## [8531] 2.707406e-02 6.031645e-02 3.135034e-01 2.147760e-01 5.477993e-03
## [8536] 4.276707e-01 2.108569e-02 4.276707e-01 2.108569e-02 4.276707e-01
## [8541] 2.108569e-02 1.421299e+00 1.306679e+00 1.633544e+00 5.419973e+00
## [8546] 4.660130e+00 1.306679e+00 1.633544e+00 4.276707e-01 2.108569e-02
## [8551] 4.276707e-01 2.108569e-02 5.727514e+00 4.364879e+00 4.276707e-01
## [8556] 2.108569e-02 5.880492e+00 4.465933e+00 4.276707e-01 2.108569e-02
## [8561] 4.276707e-01 2.108569e-02 3.135034e-01 3.561825e+00 1.204009e+00
## [8566] 1.781065e+00 2.725887e+00 1.238971e+00 6.219831e-01 2.236293e-01
## [8571] 6.219831e-01 7.284067e-01 5.220742e-02 2.494942e+00 1.910008e+00
## [8576] 7.105817e+00 6.406038e+00 1.501211e+02 4.276707e-01 2.108569e-02
## [8581] 4.276707e-01 2.108569e-02 4.276707e-01 2.108569e-02 7.671644e-01
## [8586] 1.616157e+00 1.421299e+00 3.498481e-01 9.963010e-02 1.048187e-01
## [8591] 3.498481e-01 2.834379e-02 2.520885e+00 1.045466e+01 1.553649e-01
## [8596] 2.834379e-02 3.653454e+00 2.494942e+00 1.910008e+00 2.574948e-02
## [8601] 2.421507e-01 8.900768e-03 5.152746e-01 9.119037e-01 6.098851e-03
## [8606] 1.712255e-01 1.401842e+00 2.574948e-02 2.378371e+00 3.185131e-01
## [8611] 4.340587e-02 2.251263e+00 2.236293e-01 7.123063e-01 2.730313e-03
## [8616] 2.494942e+00 1.910008e+00 3.220856e-01 2.503886e-03 8.164807e+00
## [8621] 1.169548e+00 4.081242e-01 1.315674e-01 7.123063e-01 2.730313e-03
## [8626] 3.220856e-01 2.503886e-03 1.698757e-02 6.821453e-02 9.963010e-02
## [8631] 2.314122e-01 6.219831e-01 1.987374e-03 1.091607e+00 1.147583e-02
## [8636] 6.984680e-01 1.166486e+00 2.494942e+00 1.910008e+00 6.031645e-02
## [8641] 1.069173e+00 6.031645e-02 1.069173e+00 7.805817e-01 1.566074e-01
## [8646] 3.908064e-01 5.639543e-02 2.342847e-03 3.332449e-01 5.477993e-03
## [8651] 1.494419e-01 6.219831e-01 1.987374e-03 5.194195e-01 9.980467e-02
## [8656] 9.963010e-02 6.031645e-02 5.419973e+00 4.125944e+00 2.791633e-01
## [8661] 6.488844e-01 6.219831e-01 6.031645e-02 4.792374e-01 1.120489e-01
## [8666] 3.747650e+00 4.660130e+00 3.817136e+00 1.553649e-01 1.048187e-01
## [8671] 3.608079e-01 2.906852e-02 2.430380e+00 7.304502e-02 1.827471e-01
## [8676] 9.701899e-01 2.571210e+00 2.251263e+00 7.528957e-01 2.208326e-02
## [8681] 5.831629e-01 2.208326e-02 5.831629e-01 2.520885e+00 1.306679e+00
## [8686] 3.817136e+00 2.494942e+00 1.910008e+00 3.878507e-01 2.783214e-02
## [8691] 1.892986e-01 9.204279e-02 3.996740e+00 3.996740e+00 2.494942e+00
## [8696] 1.910008e+00 6.963863e-01 9.204279e-02 8.900768e-03 3.135034e-01
## [8701] 3.135034e-01 4.792374e-01 1.120489e-01 2.236293e-01 2.834379e-02
## [8706] 1.091607e+00 1.147583e-02 1.085008e+00 1.178700e-02 1.987374e-03
## [8711] 2.520885e+00 2.494942e+00 1.306679e+00 8.599322e+00 2.622384e+00
## [8716] 3.047452e+00 1.566074e-01 8.963378e-01 6.349547e-01 2.275909e+00
## [8721] 1.048187e-01 1.515483e+00 2.497737e+00 8.002319e-01 6.578277e-01
## [8726] 6.219831e-01 2.323902e+00 2.494942e+00 1.910008e+00 2.494942e+00
## [8731] 1.910008e+00 2.494942e+00 1.910008e+00 1.048187e-01 6.349547e-01
## [8736] 1.238971e+00 2.574948e-02 6.349547e-01 1.266674e+00 2.579506e-03
## [8741] 3.626087e+00 3.746481e+00 4.936898e+00 3.817136e+00 2.107749e+00
## [8746] 2.458087e+00 3.114281e-01 9.963010e-02 1.048187e-01 4.364637e+00
## [8751] 1.165585e-01 8.035913e-01 2.236293e-01 6.349547e-01 5.107845e-02
## [8756] 4.227816e-01 2.574948e-02 8.525044e-01 6.219831e-01 2.574948e-02
## [8761] 9.054150e+00 5.884780e+00 2.791633e-01 6.488844e-01 1.152227e-01
## [8766] 1.036717e+00 2.574948e-02 2.421507e-01 6.349547e-01 3.933711e+00
## [8771] 1.070225e+01 6.219831e-01 2.236293e-01 3.853560e-03 8.963378e-01
## [8776] 6.349547e-01 1.979055e-03 3.896748e-01 4.073036e+00 2.574948e-02
## [8781] 8.525044e-01 6.963863e-01 9.204279e-02 4.174986e+00 4.586549e+00
## [8786] 1.553649e-01 6.031645e-02 5.074957e+01 1.135589e+00 5.012073e+00
## [8791] 3.943315e+00 3.220856e-01 2.503886e-03 3.517180e-01 9.022651e-01
## [8796] 2.020113e+00 2.574948e-02 5.620864e+00 6.219831e-01 1.919447e+00
## [8801] 6.219831e-01 6.983144e+00 5.012073e+00 2.314122e-01 3.517180e-01
## [8806] 9.022651e-01 8.900768e-03 5.062415e-01 3.052866e+00 6.406038e+00
## [8811] 5.012073e+00 1.062066e+00 1.777355e-02 8.695935e-01 6.693221e-03
## [8816] 2.972171e-01 1.181002e+00 1.553649e-01 7.603610e-03 1.306679e+00
## [8821] 4.928751e-02 8.551426e-02 9.963010e-02 1.881717e-01 3.908064e-01
## [8826] 5.639543e-02 2.473550e+00 2.473550e+00 1.788377e+01 5.942029e-02
## [8831] 8.261159e-02 8.600357e-01 3.485617e-03 4.606371e-02 5.960257e-01
## [8836] 1.165585e-01 8.035913e-01 3.918076e+00 2.805380e-01 6.149639e-01
## [8841] 3.734335e+00 3.877191e+00 2.986655e+00 3.561825e+00 1.306679e+00
## [8846] 1.633544e+00 5.419973e+00 4.660130e+00 1.306679e+00 1.633544e+00
## [8851] 3.908064e-01 5.639543e-02 2.986655e+00 3.561825e+00 5.012073e+00
## [8856] 4.125944e+00 1.062066e+00 2.632726e-02 2.022532e+00 2.722346e+00
## [8861] 3.019889e+00 2.236293e-01 3.943315e+00 3.777470e+00 2.022532e+00
## [8866] 2.722346e+00 4.125944e+00 3.747650e+00 3.310214e+00 2.043462e+00
## [8871] 1.138962e+00 1.870852e+00 2.574948e-02 3.630424e-01 2.065341e+00
## [8876] 2.111793e-02 2.236293e-01 1.238971e+00 2.134937e+00 2.134937e+00
## [8881] 5.291955e-02 4.326976e-01 2.111069e+00 6.219831e-01 3.817136e+00
## [8886] 3.877191e+00 4.125944e+00 3.734335e+00 5.806248e-02 2.289922e-01
## [8891] 1.722691e-01 9.022651e-01 2.534897e-01 8.261159e-02 1.224659e+00
## [8896] 2.614165e-02 2.236293e-01 2.314122e-01 1.434255e-01 4.870918e-01
## [8901] 2.960828e-01 6.603943e-01 7.603610e-03 2.224032e-01 1.048187e-01
## [8906] 9.119037e-01 9.963010e-02 1.987374e-03 5.831629e-01 1.072446e+00
## [8911] 4.858516e-02 6.511783e-01 6.406038e+00 5.419973e+00 6.515719e-03
## [8916] 1.881717e-01 3.734335e+00 3.777470e+00 1.048187e-01 4.081242e-01
## [8921] 9.963010e-02 6.031645e-02 3.275261e-02 4.509185e-02 7.220347e-02
## [8926] 1.881717e-01 4.125944e+00 3.817136e+00 9.418138e-01 3.603315e-02
## [8931] 4.469928e-01 8.908859e-01 1.048187e-01 1.985078e+00 1.048187e-01
## [8936] 1.985078e+00 2.574948e-02 3.498481e-01 1.987374e-03 7.520080e-01
## [8941] 7.220347e-02 3.047304e-01 3.517180e-01 9.022651e-01 3.517180e-01
## [8946] 9.022651e-01 5.942029e-02 8.261159e-02 2.199335e+00 1.204706e-02
## [8951] 4.872197e-02 4.227816e-01 1.165585e-01 8.035913e-01 1.364634e+00
## [8956] 7.973696e-02 1.553649e-01 6.031645e-02 8.695935e-01 6.693221e-03
## [8961] 2.236293e-01 2.574948e-02 7.611489e-01 2.632726e-02 1.680154e-01
## [8966] 1.178700e-02 6.244786e-01 2.574948e-02 1.596108e+00 2.323902e+00
## [8971] 7.611489e-01 2.632726e-02 7.611489e-01 2.992223e-01 1.566074e-01
## [8976] 2.707406e-02 2.935129e-01 6.591104e-01 8.900768e-03 1.048187e-01
## [8981] 3.517180e-01 9.022651e-01 1.069173e+00 1.421299e+00 1.020113e+00
## [8986] 4.512269e-01 3.382158e+00 9.921944e-01 7.603610e-03 3.135034e-01
## [8991] 2.208326e-02 5.831629e-01 2.972171e-01 1.181002e+00 8.002319e-01
## [8996] 6.578277e-01 1.048187e-01 3.980983e-01 3.817136e+00 3.777470e+00
## [9001] 1.238971e+00 2.043462e+00 4.504633e-01 9.290913e-03 1.595403e+00
## [9006] 1.987374e-03 1.970588e-03 4.227816e-01 9.963010e-02 1.987374e-03
## [9011] 2.574948e-02 1.048187e-01 1.739086e+00 2.421391e+00 5.477993e-03
## [9016] 1.494419e-01 1.152227e-01 6.603943e-01 8.963378e-01 2.834379e-02
## [9021] 8.963378e-01 2.834379e-02 8.963378e-01 2.834379e-02 6.349547e-01
## [9026] 1.656632e+00 8.963378e-01 2.834379e-02 1.979055e-03 3.896748e-01
## [9031] 6.349547e-01 3.933711e+00 1.434255e-01 4.870918e-01 1.224659e+00
## [9036] 2.614165e-02 5.152746e-01 6.349547e-01 9.963010e-02 6.031645e-02
## [9041] 1.595403e+00 2.834379e-02 6.031645e-02 2.520885e+00 1.220811e+00
## [9046] 2.834379e-02 1.471967e+01 4.660130e+00 1.220811e+00 2.314122e-01
## [9051] 6.219831e-01 2.314122e-01 2.314122e-01 1.823545e+00 7.566359e+00
## [9056] 1.085008e+00 8.963378e-01 6.349547e-01 3.061670e-01 5.177728e-01
## [9061] 5.152746e-01 1.238971e+00 9.183155e+00 2.335784e+01 4.916466e+01
## [9066] 2.314122e-01 2.331723e+00 2.473550e+00 1.421299e+00 1.335840e-02
## [9071] 7.997767e+00 1.823545e+00 1.820282e+00 4.285519e-01 7.782778e+00
## [9076] 4.253866e+00 4.021197e+00 6.219831e-01 5.941582e+00 1.310399e+00
## [9081] 6.031645e-02 3.135034e-01 2.105896e+01 3.048427e+00 3.561825e+00
## [9086] 2.151322e+00 2.901162e+00 1.166486e+00 2.075433e+01 5.642498e-02
## [9091] 3.853560e-03 6.349547e-01 9.183155e+00 1.973542e+02 1.421299e+00
## [9096] 4.253866e+00 3.622763e+00 1.616198e+00 2.341008e+00 2.064829e+00
## [9101] 3.229288e-03 2.314122e-01 6.031645e-02 1.626369e+01 1.987374e-03
## [9106] 2.020113e+00 6.031645e-02 1.238971e+00 1.322850e+01 5.936212e-01
## [9111] 1.811671e-01 1.939762e+00 2.622384e+00 4.253866e+00 1.220811e+00
## [9116] 1.987374e-03 9.119037e-01 6.349547e-01 6.349547e-01 6.349547e-01
## [9121] 1.178700e-02 7.301933e-01 3.996740e+00 3.137484e+00 6.349547e-01
## [9126] 1.152506e+00 3.334650e+00 2.314122e-01 1.306679e+00 4.253866e+00
## [9131] 1.618506e-01 2.314122e-01 1.303899e+01 4.199082e+00 2.520885e+00
## [9136] 6.219831e-01 2.043462e+00 6.219831e-01 6.349547e-01 6.349547e-01
## [9141] 3.375507e+00 2.795915e+00 3.198955e+00 8.243685e+00 9.963010e-02
## [9146] 1.987374e-03 2.275909e+00 2.494942e+00 1.238971e+00 1.616157e+00
## [9151] 5.641310e+00 3.196341e+00 2.642792e+00 1.069173e+00 1.595403e+00
## [9156] 1.618506e-01 2.314122e-01 2.251641e+01 3.131607e+00 2.585949e+00
## [9161] 1.531568e+01 1.178700e-02 6.796170e+00 1.987374e-03 5.616431e-01
## [9166] 3.853560e-03 9.119037e-01 9.119037e-01 2.043462e+00 2.520885e+00
## [9171] 3.594955e+00 5.090488e+00 3.380457e+00 7.748143e+00 9.894747e+01
## [9176] 4.081242e-01 8.243685e+00 2.494942e+00 3.216327e+00 1.238971e+00
## [9181] 3.962930e-02 2.834379e-02 3.310009e+00 9.963010e-02 1.238971e+00
## [9186] 2.738443e+00 6.349547e-01 3.278109e+00 1.801493e+00 1.987374e-03
## [9191] 2.559275e+00 1.401842e+00 3.274673e+00 3.025626e+00 3.516613e+00
## [9196] 1.165595e+01 1.377702e+01 3.698285e+00 1.987374e-03 3.135034e-01
## [9201] 3.324856e+01 5.196327e+00 4.928422e-01 8.973420e+00 1.987374e-03
## [9206] 4.570126e+00 3.739487e+00 1.616157e+00 5.343350e+00 1.462063e+01
## [9211] 3.964051e+00 3.589139e-01 2.574948e-02 5.152746e-01 6.219831e-01
## [9216] 1.432155e-01 8.235566e-01 3.206341e+00 9.119037e-01 2.622676e+00
## [9221] 9.963010e-02 1.039510e+01 3.666811e+00 6.952497e+00 8.819535e-01
## [9226] 9.979121e+00 5.642498e-02 1.238971e+00 1.064154e+01 2.938909e+00
## [9231] 3.135034e-01 5.712781e+00 3.019889e+00 4.081242e-01 2.236293e-01
## [9236] 6.219831e-01 8.469449e+00 6.219831e-01 2.803896e+00 4.081242e-01
## [9241] 2.559275e+00 1.517162e+00 3.044233e-01 3.207606e+00 6.349547e-01
## [9246] 3.687723e-01 1.987374e-03 3.695909e+02 2.275909e+00 2.134937e+00
## [9251] 6.349547e-01 3.286634e+00 1.069173e+00 3.274673e+00 5.152746e-01
## [9256] 1.536711e+00 3.195348e+00 7.082993e+02 3.730993e-01 8.192576e-01
## [9261] 2.574948e-02 4.106366e+00 3.196341e+00 3.977469e-01 6.613261e+00
## [9266] 6.397376e+00 6.031645e-02 4.139301e+00 4.631855e-03 9.415735e+00
## [9271] 1.432155e-01 6.031645e-02 4.134334e+00 1.618506e-01 2.992775e+00
## [9276] 3.207606e+00 2.520885e+00 3.375798e+00 1.004762e+00 4.084750e+00
## [9281] 3.575819e+00 1.204009e+00 9.119037e-01 3.203193e+00 5.036002e-01
## [9286] 3.628486e+00 1.069173e+00 1.769841e+01 1.401842e+00 5.500031e+00
## [9291] 1.454493e+01 2.574877e+02 3.027224e+00 3.516613e+00 2.228417e+00
## [9296] 3.315984e+02 3.516613e+00 3.095046e+00 6.863350e-01 6.310379e+00
## [9301] 3.236172e+00 4.139301e+00 2.314122e-01 4.253866e+00 7.653686e+00
## [9306] 6.219831e-01 9.260315e+02 2.574948e-02 2.520885e+00 3.556705e+00
## [9311] 5.642498e-02 3.289609e+00 3.044233e-01 2.729564e+00 3.575819e+00
## [9316] 4.237851e+00 4.081242e-01 2.834379e-02 2.314122e-01 8.218535e+00
## [9321] 5.937937e+00 3.274673e+00 1.459269e+00 2.730313e-03 4.385435e+00
## [9326] 2.043462e+00 1.048187e-01 1.032054e+02 3.216327e+00 1.004957e+01
## [9331] 4.573207e+00 3.420728e+00 3.390368e+00 2.595288e+00 2.729564e+00
## [9336] 3.135034e-01 1.801493e+00 1.421299e+00 1.953992e+00 1.497739e+00
## [9341] 3.421805e+00 4.017405e-01 2.627451e-01 3.750962e-02 9.685638e-02
## [9346] 3.169259e+00 8.084450e-02 2.454621e+01 1.864299e+01 3.980516e+00
## [9351] 5.642498e-02 1.716968e+01 2.108251e-03 5.152746e-01 6.349547e-01

#Question-How are the t-tests conducted to compare salaries between high and low salary levels both in regular salary and salary in USD?

# t-tests, one by one. Survivors vs. Non survivors
with(data=dataset,t.test(salary[Salary_Level=="High"],salary[Salary_Level=="Low"],var.equal=TRUE))
## 
##  Two Sample t-test
## 
## data:  salary[Salary_Level == "High"] and salary[Salary_Level == "Low"]
## t = 119.36, df = 9353, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##   97215.24 100461.69
## sample estimates:
## mean of x mean of y 
##  199352.5  100514.0
with(data=dataset,t.test(salary_in_usd[Salary_Level=="High"],salary_in_usd[Salary_Level=="Low"],var.equal=TRUE))
## 
##  Two Sample t-test
## 
## data:  salary_in_usd[Salary_Level == "High"] and salary_in_usd[Salary_Level == "Low"]
## t = 120.51, df = 9353, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##   96938.19 100143.86
## sample estimates:
## mean of x mean of y 
##  199575.3  101034.3

#Insight: It is conducted to assess whether there is a statistically significant difference in salaries between the two groups.

#Question: What insights can be gained from the output of the hotelling.test function, and how are these insights relevant to the analysis of salary and salary in USD across different salary levels?

library(Hotelling)
## Loading required package: corpcor
t2testsparr <- hotelling.test(salary + salary_in_usd ~ Salary_Level, data=dataset)
# Output of the function hotelling.test is given
cat("T2 statistic =",t2testsparr$stat[[1]],"\n")
## T2 statistic = 14574.91
print(t2testsparr)
## Test stat:  14575 
## Numerator df:  2 
## Denominator df:  9352 
## P-value:  0
#  T2 statistic is located in the first element of the list "stat"

# testing Variation
# F-test for Total length (not recommended)
var.test(dataset$salary[dataset$Salary_Level=="High"],dataset$salary[dataset$Salary_Level=="Low"])
## 
##  F test to compare two variances
## 
## data:  dataset$salary[dataset$Salary_Level == "High"] and dataset$salary[dataset$Salary_Level == "Low"]
## F = 2.1768, num df = 4676, denom df = 4677, p-value < 2.2e-16
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
##  2.055550 2.305276
## sample estimates:
## ratio of variances 
##           2.176835
attach(dataset)
var.test(dataset$salary[dataset$Salary_Level=="High"],dataset$salary[dataset$Salary_Level=="Low"])
## 
##  F test to compare two variances
## 
## data:  dataset$salary[dataset$Salary_Level == "High"] and dataset$salary[dataset$Salary_Level == "Low"]
## F = 2.1768, num df = 4676, denom df = 4677, p-value < 2.2e-16
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
##  2.055550 2.305276
## sample estimates:
## ratio of variances 
##           2.176835

#Insight: The test considers both salary and salary in USD simultaneously, providing a comprehensive assessment of the differences between the two salary levels across multiple variables.

#Question: How are the mean absolute median differences calculated for the standardized dataset, both for high and low salary levels?

# Levene's tests based on absolute differences around means using t-tests. Standarizing the sparrows data set with scale()

matstand <- scale(dataset[,5:6])
matstand
##               salary salary_in_usd
##    [1,] -0.973575147 -0.8751154692
##    [2,]  0.567091324  0.5650837205
##    [3,] -1.071045883 -1.0842409769
##    [4,]  0.975839572  0.9766234723
##    [5,] -0.890253389 -0.9022137790
##    [6,] -0.313289517 -0.3213095910
##    [7,] -0.784922110 -0.7961631507
##    [8,]  1.170781044  1.1728962770
##    [9,] -0.176516065 -0.1836020587
##   [10,]  0.944397399  0.9449665683
##   [11,]  0.284111768  0.2801715847
##   [12,]  1.170781044  1.1728962770
##   [13,] -0.176516065 -0.1836020587
##   [14,] -1.806792729 -1.6973718933
##   [15,] -1.885398161 -1.7947485299
##   [16,] -0.863527542 -0.8753054107
##   [17,] -1.177949271 -1.1918744505
##   [18,]  2.359295180  2.3695272475
##   [19,]  1.321703474  1.3248494161
##   [20,] -0.156078652 -0.1630250711
##   [21,] -0.470500381 -0.4795941109
##   [22,]  0.857931424  0.8579100823
##   [23,] -0.121492262 -0.1282024767
##   [24,]  0.079737645  0.0744017088
##   [25,] -0.627711246 -0.6378786308
##   [26,]  1.832638784  1.8392741058
##   [27,]  0.032574385  0.0269163528
##   [28,]  1.136194654  1.1380736826
##   [29,] -0.218962998 -0.2263388790
##   [30,]  1.941114280  1.9484904245
##   [31,]  0.507351196  0.5049356030
##   [32,]  0.276251225  0.2722573587
##   [33,] -0.682735048 -0.6932782128
##   [34,]  0.565519216  0.5635008753
##   [35,] -0.324294277 -0.3323895074
##   [36,]  0.551370238  0.5492552685
##   [37,] -1.105632274 -1.1190635713
##   [38,] -0.439058208 -0.4479372069
##   [39,] -0.871388086 -0.8832196366
##   [40,]  1.530793924  1.5353678276
##   [41,] -0.160794978 -0.1677736067
##   [42,]  0.409880460  0.4067992006
##   [43,] -0.784922110 -0.7961631507
##   [44,]  0.857931424  0.8579100823
##   [45,] -0.121492262 -0.1282024767
##   [46,]  1.535510250  1.5401163632
##   [47,] -0.355736450 -0.3640464113
##   [48,]  1.155059958  1.1570678250
##   [49,]  0.570235542  0.5682494109
##   [50,]  0.276251225  0.2722573587
##   [51,] -0.682735048 -0.6932782128
##   [52,]  0.565519216  0.5635008753
##   [53,] -0.324294277 -0.3323895074
##   [54,] -1.225112531 -1.2393598064
##   [55,] -1.350881222 -1.3659874224
##   [56,]  0.469935010  0.4672638872
##   [57,] -0.095395258 -0.1019272464
##   [58,]  2.092822764  2.1012349862
##   [59,]  0.609538258  0.6078205409
##   [60,] -0.266126257 -0.2738242350
##   [61,] -1.438919306 -1.4546267535
##   [62,] -0.135672682 -0.1424797404
##   [63,] -0.539563114 -0.5491285005
##   [64,] -0.784922110 -0.7961631507
##   [65,] -1.177949271 -1.1918744505
##   [66,]  1.832638784  1.8392741058
##   [67,] -0.086905872 -0.0933798823
##   [68,] -1.445207741 -1.2494425304
##   [69,] -1.649581865 -1.5026186200
##   [70,]  2.162781599  2.1716715976
##   [71,]  0.095458731  0.0902301608
##   [72,] -0.942132975 -0.9544476706
##   [73,] -1.256554704 -1.2710167104
##   [74,]  0.771465448  0.7708535964
##   [75,]  0.189785250  0.1852008727
##   [76,]  0.329451382  0.3258208402
##   [77,] -0.566037423 -0.5757836136
##   [78,]  0.535649152  0.5334268165
##   [79,] -0.423337122 -0.4321087549
##   [80,]  1.349215375  1.3525492071
##   [81,]  0.382368559  0.3790994096
##   [82,]  0.236948509  0.2326862287
##   [83,] -0.489365685 -0.4985882533
##   [84,]  1.180213696  1.1823933482
##   [85,]  0.001132212 -0.0047405512
##   [86,]  1.005709636  1.0066975311
##   [87,] -0.520807858 -0.5302451573
##   [88,]  1.101608264  1.1032510882
##   [89,]  0.001132212 -0.0047405512
##   [90,]  0.001132212 -0.0047405512
##   [91,] -0.784922110 -0.7961631507
##   [92,]  1.533938141  1.5385335180
##   [93,]  0.350140331  0.3466510830
##   [94,]  0.079737645  0.0744017088
##   [95,] -0.470500381 -0.4795941109
##   [96,]  1.206939543  1.2093017165
##   [97,] -0.261409931 -0.2690756994
##   [98,]  0.535649152  0.5334268165
##   [99,] -0.423337122 -0.4321087549
##  [100,] -0.313289517 -0.3213095910
##  [101,] -0.517663640 -0.5270794669
##  [102,]  0.158343077  0.1535439688
##  [103,] -0.156078652 -0.1630250711
##  [104,]  0.252669595  0.2485146807
##  [105,] -1.209391444 -1.2235313545
##  [106,]  0.565519216  0.5635008753
##  [107,] -0.324294277 -0.3323895074
##  [108,] -0.313289517 -0.3213095910
##  [109,] -0.722037764 -0.7328493427
##  [110,] -0.108915393 -0.1155397151
##  [111,] -0.533384727 -0.5429079188
##  [112,]  0.236948509  0.2326862287
##  [113,] -0.489365685 -0.4985882533
##  [114,]  1.101608264  1.1032510882
##  [115,]  0.472764806  0.4701130086
##  [116,]  0.535649152  0.5334268165
##  [117,] -0.423337122 -0.4321087549
##  [118,]  1.023002831  1.0241088283
##  [119,]  0.787186535  0.7866820484
##  [120,]  1.620404116  1.6255900039
##  [121,] -0.297568430 -0.3054811390
##  [122,]  1.101608264  1.1032510882
##  [123,]  0.409880460  0.4067992006
##  [124,] -1.728187297 -1.5999952566
##  [125,] -1.885398161 -1.7947485299
##  [126,]  0.944397399  0.9449665683
##  [127,] -0.046031047 -0.0522259071
##  [128,]  0.567091324  0.5650837205
##  [129,]  0.174064163  0.1693724207
##  [130,]  0.865791967  0.8658243083
##  [131,]  0.032574385  0.0269163528
##  [132,]  1.101608264  1.1032510882
##  [133,]  0.629975670  0.6283975285
##  [134,]  0.865791967  0.8658243083
##  [135,]  0.032574385  0.0269163528
##  [136,] -0.203241912 -0.2105104270
##  [137,] -0.627711246 -0.6378786308
##  [138,]  0.346996114  0.3434853926
##  [139,] -0.061752133 -0.0680543591
##  [140,] -0.030309961 -0.0363974551
##  [141,] -0.800643197 -0.8119916027
##  [142,]  0.001132212 -0.0047405512
##  [143,] -0.313289517 -0.3213095910
##  [144,] -0.706316678 -0.7170208907
##  [145,] -0.800643197 -0.8119916027
##  [146,] -1.531673716 -1.5480146203
##  [147,]  0.480845444  0.4782488329
##  [148,] -0.654311324 -0.6646603716
##  [149,]  0.944397399  0.9449665683
##  [150,] -0.046031047 -0.0522259071
##  [151,]  2.206800641  2.2159912632
##  [152,]  0.735071133  0.7342107300
##  [153,]  1.101608264  1.1032510882
##  [154,]  0.409880460  0.4067992006
##  [155,]  0.394159374  0.3909707486
##  [156,] -0.313289517 -0.3213095910
##  [157,]  0.551370238  0.5492552685
##  [158,]  0.001132212 -0.0047405512
##  [159,] -0.077473220 -0.0838828111
##  [160,] -0.549105813 -0.5587363708
##  [161,] -0.266126257 -0.2738242350
##  [162,] -1.440491415 -1.4562095987
##  [163,] -0.549105813 -0.5587363708
##  [164,] -0.863527542 -0.8753054107
##  [165,] -0.948421409 -0.6340164885
##  [166,] -1.853955989 -1.7558105380
##  [167,] -1.728187297 -1.6954249937
##  [168,] -1.901119248 -1.8834195180
##  [169,] -1.177949271 -0.9183588001
##  [170,] -1.492371000 -1.3078653467
##  [171,] -1.177949271 -0.9183588001
##  [172,] -1.492371000 -1.3078653467
##  [173,] -1.256554704 -1.1827414337
##  [174,]  4.080754146  2.4231382144
##  [175,] -0.234684084 -0.7958940670
##  [176,]  1.263535454  1.2662841437
##  [177,] -0.156078652 -0.1630250711
##  [178,] -0.392916820 -0.4014807003
##  [179,] -1.161442131 -1.1752545759
##  [180,]  1.177069479  1.1792276578
##  [181,] -0.295996322 -0.3038982938
##  [182,]  1.699009549  1.7047322639
##  [183,]  0.331275028  0.3276569407
##  [184,]  0.724302189  0.7233682404
##  [185,] -0.454779295 -0.4637656589
##  [186,]  0.721157972  0.7202025500
##  [187,]  0.339135571  0.3355711667
##  [188,]  0.252669595  0.2485146807
##  [189,] -1.207819336 -1.2219485093
##  [190,]  1.101608264  1.1032510882
##  [191,]  0.158343077  0.1535439688
##  [192,] -1.020738407 -1.0335899306
##  [193,] -1.335160136 -1.3501589704
##  [194,]  1.101608264  1.1032510882
##  [195,] -0.784922110 -0.7961631507
##  [196,]  0.551370238  0.5492552685
##  [197,]  0.032574385  0.0269163528
##  [198,]  1.101608264  1.1032510882
##  [199,] -0.784922110 -0.7961631507
##  [200,] -1.649581865 -1.6099830098
##  [201,] -1.791071643 -1.7637880778
##  [202,]  1.101608264  1.1032510882
##  [203,] -0.784922110 -0.7961631507
##  [204,]  1.101608264  1.1032510882
##  [205,] -0.784922110 -0.7961631507
##  [206,]  1.101608264  1.1032510882
##  [207,] -0.784922110 -0.7961631507
##  [208,] -0.627711246 -0.6378786308
##  [209,] -1.099343839 -1.1127321905
##  [210,] -1.885398161 -1.7947485299
##  [211,]  0.004276430 -0.0015748608
##  [212,] -1.240833617 -1.2551882584
##  [213,]  0.271534899  0.2675088231
##  [214,] -0.454779295 -0.4637656589
##  [215,] -0.266126257 -0.2738242350
##  [216,] -1.438919306 -1.4546267535
##  [217,] -0.234684084 -0.2421673310
##  [218,] -0.627711246 -0.6378786308
##  [219,] -1.020738407 -0.7236055268
##  [220,] -1.413765568 -1.2104887100
##  [221,]  0.589336662  0.5874809801
##  [222,] -0.563569213 -0.5732985467
##  [223,]  0.589336662  0.5874809801
##  [224,] -0.563569213 -0.5732985467
##  [225,]  0.252669595  0.2485146807
##  [226,] -1.207819336 -1.2219485093
##  [227,]  2.459910133  2.4708293402
##  [228,]  0.295116529  0.2912515011
##  [229,]  0.589336662  0.5874809801
##  [230,] -0.563569213 -0.5732985467
##  [231,] -1.935705638 -1.8570809738
##  [232,] -1.935705638 -1.8570809738
##  [233,]  0.236948509  0.2326862287
##  [234,] -0.156078652 -0.1630250711
##  [235,]  0.001132212 -0.0047405512
##  [236,]  0.268390682  0.2643431327
##  [237,] -0.454779295 -0.4637656589
##  [238,]  0.551370238  0.5492552685
##  [239,] -1.105632274 -1.1190635713
##  [240,]  0.633119888  0.6315632189
##  [241,] -0.861955434 -0.8737225655
##  [242,] -0.266126257 -0.2738242350
##  [243,] -1.438919306 -1.4546267535
##  [244,] -0.942132975 -0.9544476706
##  [245,] -1.256554704 -1.2710167104
##  [246,]  0.252669595  0.2485146807
##  [247,] -1.207819336 -1.2219485093
##  [248,] -0.234684084 -0.2421673310
##  [249,] -0.784922110 -0.7961631507
##  [250,]  0.480845444  0.4782488329
##  [251,] -0.654311324 -0.6646603716
##  [252,]  2.264968661  2.2745565355
##  [253,]  0.661417843  0.6600544325
##  [254,]  1.824778240  1.8313598798
##  [255,]  0.268390682  0.2643431327
##  [256,]  0.787186535  0.7866820484
##  [257,]  0.001132212 -0.0047405512
##  [258,]  0.218083205  0.2136920863
##  [259,] -0.970430930 -0.9829388842
##  [260,]  0.479053240  0.4764443894
##  [261,] -0.174943956 -0.1820192135
##  [262,] -1.492371000 -1.3078653467
##  [263,] -1.649581865 -1.5026186200
##  [264,]  2.657995822  2.6702678353
##  [265,]  0.881513053  0.8816527603
##  [266,]  1.023002831  1.0241088283
##  [267,] -0.124636479 -0.1313681671
##  [268,]  1.824778240  1.8313598798
##  [269,]  0.268390682  0.2643431327
##  [270,] -0.154034911 -0.1609673723
##  [271,] -1.022782148 -1.0356476293
##  [272,]  0.446038959  0.4432046402
##  [273,] -0.700028243 -0.7106895099
##  [274,]  1.136194654  1.1380736826
##  [275,] -0.218962998 -0.2263388790
##  [276,]  1.023002831  1.0241088283
##  [277,] -0.124636479 -0.1313681671
##  [278,]  1.416029993  1.4198201280
##  [279,]  0.944397399  0.9449665683
##  [280,] -0.439058208 -0.4479372069
##  [281,] -0.871388086 -0.8832196366
##  [282,]  0.001132212 -0.0047405512
##  [283,] -0.533384727 -0.5429079188
##  [284,] -0.942132975 -0.9544476706
##  [285,] -0.077473220 -0.0838828111
##  [286,] -0.344731690 -0.3529664950
##  [287,]  0.064016558  0.0585732568
##  [288,] -0.376173862 -0.3846233989
##  [289,]  1.416029993  1.4198201280
##  [290,]  0.115110089  0.1100157258
##  [291,]  1.096105883  1.0977111300
##  [292,] -0.218962998 -0.2263388790
##  [293,]  0.001132212 -0.0047405512
##  [294,]  0.472764806  0.4701130086
##  [295,] -0.391894949 -0.4004518509
##  [296,]  1.535510250  1.5401163632
##  [297,] -0.355736450 -0.3640464113
##  [298,] -1.413765568 -1.4293012303
##  [299,] -1.492371000 -1.5084434903
##  [300,]  1.573240857  1.5781046479
##  [301,] -0.391894949 -0.4004518509
##  [302,]  0.629975670  0.6283975285
##  [303,]  0.315553941  0.3118284887
##  [304,]  0.828061359  0.8278360236
##  [305,]  0.296688638  0.2928343463
##  [306,] -0.281847344 -0.2896526870
##  [307,] -0.611990159 -0.6220501788
##  [308,]  0.834349794  0.8341674044
##  [309,] -0.360452776 -0.3687949469
##  [310,] -0.391753459 -0.4003093949
##  [311,] -1.046851131 -1.0598809893
##  [312,] -0.593124855 -0.6030560364
##  [313,] -0.913835019 -0.9259564570
##  [314,]  0.787186535  0.7866820484
##  [315,]  0.158343077  0.1535439688
##  [316,]  0.001132212  0.1844411070
##  [317,]  0.551370238  0.5492552685
##  [318,]  0.001132212 -0.0047405512
##  [319,]  0.158343077  0.1535439688
##  [320,] -0.313289517 -0.3213095910
##  [321,] -0.077473220 -0.0838828111
##  [322,] -0.549105813 -0.5587363708
##  [323,] -0.266126257 -0.2738242350
##  [324,] -1.440491415 -1.4562095987
##  [325,]  1.636125203  1.6414184559
##  [326,]  0.142621990  0.1377155168
##  [327,]  0.315553941  0.3118284887
##  [328,] -1.020738407 -1.0335899306
##  [329,] -0.305428973 -0.3133953650
##  [330,] -0.533384727 -0.5429079188
##  [331,] -1.077334318 -1.0905723577
##  [332,] -1.673163494 -1.6904706882
##  [333,]  0.299832855  0.2960000367
##  [334,] -0.910690802 -0.9227907666
##  [335,]  0.252669595  0.2485146807
##  [336,] -1.207819336 -1.2219485093
##  [337,]  0.629975670  0.6283975285
##  [338,]  0.236948509  0.2326862287
##  [339,]  2.447333264  2.4581665786
##  [340,] -0.052319482 -0.0585572879
##  [341,]  0.001132212 -0.0047405512
##  [342,] -0.470500381 -0.4795941109
##  [343,]  1.966268018  1.9738159477
##  [344,] -0.055463699 -0.0617229783
##  [345,]  0.920815770  0.9212238903
##  [346,]  0.236948509  0.2326862287
##  [347,]  1.710014309  1.7158121803
##  [348,]  0.354856657  0.3513996186
##  [349,]  0.001132212 -0.0047405512
##  [350,] -0.313289517 -0.3213095910
##  [351,]  0.551370238  0.5492552685
##  [352,]  0.001132212 -0.0047405512
##  [353,]  0.252669595  0.2485146807
##  [354,] -1.207819336 -1.2219485093
##  [355,]  0.758888579  0.7581908348
##  [356,] -0.624567028 -0.6347129404
##  [357,]  0.252669595  0.2485146807
##  [358,] -1.207819336 -1.2219485093
##  [359,]  0.975839572  0.9766234723
##  [360,] -0.890253389 -0.9022137790
##  [361,]  0.975839572  0.9766234723
##  [362,] -0.890253389 -0.9022137790
##  [363,]  0.252669595  0.2485146807
##  [364,] -1.207819336 -1.2219485093
##  [365,]  0.269962791  0.2659259779
##  [366,] -0.605701725 -0.6157187980
##  [367,] -0.266126257 -0.2738242350
##  [368,] -1.438919306 -1.4546267535
##  [369,]  0.252669595  0.2485146807
##  [370,] -1.207819336 -1.2219485093
##  [371,]  0.315553941  0.3118284887
##  [372,] -0.077473220 -0.0838828111
##  [373,]  0.975839572  0.9766234723
##  [374,] -0.890253389 -0.9022137790
##  [375,]  0.315553941  0.3118284887
##  [376,] -0.234684084 -0.2421673310
##  [377,] -0.077473220 -0.0838828111
##  [378,] -0.549105813 -0.5587363708
##  [379,] -0.159065659 -0.1660324769
##  [380,] -0.858418189 -0.8701611638
##  [381,]  2.024436038  2.0323812201
##  [382,]  0.147338316  0.1424640524
##  [383,]  1.206939543  1.2093017165
##  [384,]  0.018425407  0.0126707460
##  [385,]  1.530793924  1.5353678276
##  [386,] -0.160794978 -0.1677736067
##  [387,]  0.598533497  0.5967406245
##  [388,] -0.171799739 -0.1788535231
##  [389,]  0.001132212 -0.0047405512
##  [390,]  0.158343077  0.1535439688
##  [391,] -0.879248629 -0.8911338626
##  [392,] -0.360452776 -0.3687949469
##  [393,] -1.335160136 -1.3501589704
##  [394,]  1.981989105  1.9896443997
##  [395,]  0.378438287  0.3751422966
##  [396,]  1.730451722  1.7363891678
##  [397,] -0.218962998 -0.2263388790
##  [398,]  1.573240857  1.5781046479
##  [399,]  0.944397399  0.9449665683
##  [400,]  0.598533497  0.5967406245
##  [401,] -0.171799739 -0.1788535231
##  [402,]  1.384587820  1.3881632240
##  [403,]  0.409880460  0.4067992006
##  [404,]  0.857931424  0.8579100823
##  [405,] -0.121492262 -0.1282024767
##  [406,]  0.975839572  0.9766234723
##  [407,]  0.629975670  0.6283975285
##  [408,]  1.754033351  1.7601318458
##  [409,] -0.242544628 -0.2500815570
##  [410,]  1.400308906  1.4039916760
##  [411,] -0.424909230 -0.4336916001
##  [412,] -0.549105813 -0.5587363708
##  [413,] -0.863527542 -0.8753054107
##  [414,]  0.134761447  0.1298012908
##  [415,] -0.549105813 -0.5587363708
##  [416,]  2.856710355  2.8703394685
##  [417,]  1.851818509  1.8585848172
##  [418,]  0.472764806  0.4701130086
##  [419,] -0.942132975 -0.9544476706
##  [420,] -1.052180580 -1.0652468345
##  [421,] -1.319439049 -1.3343305184
##  [422,]  1.168422881  1.1705220092
##  [423,] -0.446132697 -0.4550600103
##  [424,]  0.252669595  0.2485146807
##  [425,] -1.207819336 -1.2219485093
##  [426,] -0.135672682 -0.1424797404
##  [427,] -0.539563114 -0.5491285005
##  [428,] -0.643432332 -0.6537070828
##  [429,] -0.784922110 -0.7961631507
##  [430,]  0.872080402  0.8721556891
##  [431,] -0.896541824 -0.9085451598
##  [432,]  1.101608264  1.1032510882
##  [433,] -0.313289517 -0.3213095910
##  [434,]  0.158343077  0.1535439688
##  [435,] -0.627711246 -0.6378786308
##  [436,]  1.258819128  1.2615356081
##  [437,] -0.784922110 -0.7961631507
##  [438,]  0.567562957  0.5655585741
##  [439,] -0.624567028 -0.6347129404
##  [440,] -0.313289517 -0.3213095910
##  [441,] -0.784922110 -0.7961631507
##  [442,]  1.447472166  1.4514770320
##  [443,] -0.687451374 -0.6980267484
##  [444,]  1.101608264  1.1032510882
##  [445,] -0.470500381 -0.4795941109
##  [446,]  1.699009549  1.7047322639
##  [447,]  0.331275028  0.3276569407
##  [448,] -0.923267671 -0.9354535282
##  [449,] -1.442063524 -1.4577924439
##  [450,]  0.661417843  0.6600544325
##  [451,]  0.441322633  0.4384561046
##  [452,]  0.944397399  0.9449665683
##  [453,] -0.313289517 -0.3213095910
##  [454,]  0.158343077  0.1535439688
##  [455,]  0.001132212 -0.0047405512
##  [456,]  1.730451722  1.7363891678
##  [457,] -0.218962998 -0.2263388790
##  [458,]  0.881513053  0.8816527603
##  [459,] -0.250405171 -0.2579957830
##  [460,]  0.472764806  0.4701130086
##  [461,] -0.234684084 -0.2421673310
##  [462,]  0.787186535  0.7866820484
##  [463,] -0.470500381 -0.4795941109
##  [464,]  0.975839572  0.9766234723
##  [465,] -0.890253389 -0.9022137790
##  [466,] -0.679590831 -0.6901125224
##  [467,] -1.449924067 -1.4657066699
##  [468,]  1.831066675  1.8376912606
##  [469,]  0.367433527  0.3640623802
##  [470,] -0.391894949 -0.4004518509
##  [471,] -0.784922110 -0.7961631507
##  [472,]  0.246381161  0.2421832999
##  [473,] -1.322583267 -1.3374962088
##  [474,]  0.950685834  0.9512979491
##  [475,]  0.323414485  0.3197427147
##  [476,]  0.975839572  0.9766234723
##  [477,] -0.890253389 -0.9022137790
##  [478,]  0.315553941  0.3118284887
##  [479,]  0.158343077  0.1535439688
##  [480,]  0.557658673  0.5555866493
##  [481,] -1.075196250 -1.0884196883
##  [482,]  0.677138930  0.6758828845
##  [483,]  0.126900904  0.1218870648
##  [484,]  0.315553941  0.3118284887
##  [485,] -0.784922110 -0.7961631507
##  [486,]  1.136194654  1.1380736826
##  [487,] -0.218962998 -0.2263388790
##  [488,] -0.030309961 -0.0363974551
##  [489,] -0.800643197 -0.8119916027
##  [490,]  0.857931424  0.8579100823
##  [491,] -0.121492262 -0.1282024767
##  [492,] -0.863527542 -0.8753054107
##  [493,] -1.177949271 -1.1918744505
##  [494,] -0.549105813 -0.5587363708
##  [495,] -0.706316678 -0.7170208907
##  [496,]  0.721157972  0.7202025500
##  [497,]  0.188213141  0.1836180275
##  [498,] -0.942132975 -0.9544476706
##  [499,] -1.099343839 -1.1127321905
##  [500,]  0.669278386  0.6679686585
##  [501,] -0.156078652 -0.1630250711
##  [502,] -0.784922110 -0.7961631507
##  [503,] -1.177949271 -1.1918744505
##  [504,]  0.299832855  0.2960000367
##  [505,] -0.926411888 -0.9386192186
##  [506,]  1.048156570  1.0494343514
##  [507,] -0.086905872 -0.0933798823
##  [508,]  0.001132212 -0.0047405512
##  [509,] -0.470500381 -0.4795941109
##  [510,] -0.266126257 -0.2738242350
##  [511,] -1.438919306 -1.4546267535
##  [512,]  0.252669595  0.2485146807
##  [513,] -1.207819336 -1.2219485093
##  [514,]  0.252669595  0.2485146807
##  [515,] -1.207819336 -1.2219485093
##  [516,]  2.929970618  2.9441000548
##  [517,]  0.457043719  0.4542845566
##  [518,]  2.302699268  2.3125448203
##  [519,]  0.152054642  0.1472125880
##  [520,]  0.975839572  0.9766234723
##  [521,] -0.890253389 -0.9022137790
##  [522,]  0.857931424  0.8579100823
##  [523,] -0.121492262 -0.1282024767
##  [524,]  1.706870092  1.7126464899
##  [525,]  1.203795326  1.2061360261
##  [526,]  1.530007869  1.5345764050
##  [527,] -0.495654119 -0.5049196341
##  [528,]  0.158343077  0.1535439688
##  [529,] -0.156078652 -0.1630250711
##  [530,]  0.975839572  0.9766234723
##  [531,] -0.888681281 -0.9006309338
##  [532,] -0.156078652  0.3475374764
##  [533,] -0.784922110 -0.4314756168
##  [534,]  1.085887177  1.0874226362
##  [535,] -0.281847344 -0.2896526870
##  [536,] -0.305428973 -0.3133953650
##  [537,] -0.533384727 -0.5429079188
##  [538,]  2.725596494  2.7383301789
##  [539,]  0.546653912  0.5445067329
##  [540,]  1.573240857  1.5781046479
##  [541,]  0.787186535  0.7866820484
##  [542,] -0.218962998 -0.2263388790
##  [543,] -0.926411888 -0.9386192186
##  [544,]  0.565519216  0.5635008753
##  [545,] -0.324294277 -0.3323895074
##  [546,] -0.108915393 -0.1155397151
##  [547,] -1.130786012 -1.1443890945
##  [548,] -0.234684084 -0.2421673310
##  [549,] -0.627711246 -0.6378786308
##  [550,] -0.124636479 -0.1313681671
##  [551,] -0.750335720 -0.7613405563
##  [552,] -0.195381368 -0.2025962010
##  [553,] -1.075762209 -1.0889895125
##  [554,]  0.818628708  0.8183389524
##  [555,] -0.046031047 -0.0522259071
##  [556,] -0.156078652 -0.1630250711
##  [557,] -0.391894949 -0.4004518509
##  [558,]  0.325379620  0.3217212712
##  [559,] -0.345517744 -0.3537579176
##  [560,] -0.784922110 -0.4314756168
##  [561,] -1.256554704 -1.0157354367
##  [562,] -1.016713809 -1.0295378469
##  [563,] -1.231165149 -1.2454537605
##  [564,] -0.784922110 -0.7961631507
##  [565,] -0.784922110 -0.7961631507
##  [566,]  0.551370238  0.5492552685
##  [567,] -0.391894949 -0.4004518509
##  [568,] -1.413765568 -1.4293012303
##  [569,] -1.539534260 -1.5559288463
##  [570,]  2.359295180  2.3695272475
##  [571,]  1.730451722  1.7363891678
##  [572,]  1.180213696  1.1823933482
##  [573,]  0.315553941  0.3118284887
##  [574,] -0.784922110 -0.7961631507
##  [575,] -1.099343839 -1.1127321905
##  [576,]  0.857931424  0.8579100823
##  [577,] -0.121492262 -0.1282024767
##  [578,] -0.234684084 -0.2421673310
##  [579,] -0.784922110 -0.7961631507
##  [580,]  2.316848246  2.3267904271
##  [581,]  0.758888579  0.7581908348
##  [582,]  1.416029993  1.4198201280
##  [583,]  0.629975670  0.6283975285
##  [584,]  0.551370238  0.5492552685
##  [585,] -1.105632274 -1.1190635713
##  [586,]  1.136194654  1.1380736826
##  [587,] -0.218962998 -0.2263388790
##  [588,] -0.627711246 -0.6378786308
##  [589,] -0.863527542 -0.8753054107
##  [590,]  2.736601254  2.7494100953
##  [591,]  0.142621990  0.1377155168
##  [592,]  0.908238900  0.9085611287
##  [593,] -0.255121497 -0.2627443186
##  [594,] -1.240833617 -1.2551882584
##  [595,] -1.460928827 -1.4767865863
##  [596,]  1.136194654  1.1380736826
##  [597,] -0.218962998 -0.2263388790
##  [598,]  0.787186535  0.7866820484
##  [599,]  0.001132212 -0.0047405512
##  [600,] -1.429486654 -1.4451296823
##  [601,] -1.570976433 -1.5875857502
##  [602,]  1.321703474  1.3248494161
##  [603,]  0.912955226  0.9133096643
##  [604,]  0.582812411  0.5809121725
##  [605,] -0.344731690 -0.3529664950
##  [606,]  0.818628708  0.8183389524
##  [607,] -0.046031047 -0.0522259071
##  [608,] -1.570976433 -1.5875857502
##  [609,] -1.413765568 -1.3536254014
##  [610,] -1.523813173 -1.4732568415
##  [611,] -2.026887940 -2.0466108580
##  [612,] -0.234684084 -0.2421673310
##  [613,] -0.470500381 -0.4795941109
##  [614,]  0.001132212 -0.0047405512
##  [615,] -0.156078652 -0.1630250711
##  [616,]  0.629975670  0.6283975285
##  [617,]  0.236948509  0.2326862287
##  [618,]  2.044873451  2.0529582077
##  [619,]  0.629975670  0.6283975285
##  [620,]  0.975839572  0.9766234723
##  [621,]  0.629975670  0.6283975285
##  [622,] -1.806792729 -1.6973718933
##  [623,] -1.806792729 -1.6973718933
##  [624,]  1.505640185  1.5100423044
##  [625,] -0.277131018 -0.2849041514
##  [626,] -0.942132975 -0.9544476706
##  [627,] -1.099343839 -1.1127321905
##  [628,]  0.975839572  0.9766234723
##  [629,] -0.890253389 -0.9022137790
##  [630,]  0.975839572  0.9766234723
##  [631,] -0.890253389 -0.9022137790
##  [632,]  1.981989105  1.9896443997
##  [633,]  0.378438287  0.3751422966
##  [634,] -0.266126257 -0.2738242350
##  [635,] -1.440491415 -1.4562095987
##  [636,] -0.067411725 -0.0737526018
##  [637,] -1.030171059 -1.0430870018
##  [638,]  2.359295180  2.3695272475
##  [639,]  0.708581102  0.7075397884
##  [640,]  0.629975670  0.6283975285
##  [641,] -0.667013962 -0.6774497608
##  [642,] -0.706316678 -0.7170208907
##  [643,] -1.177949271 -1.1918744505
##  [644,] -0.156078652 -0.1630250711
##  [645,] -0.816364283 -0.8278200547
##  [646,]  0.857931424  0.8579100823
##  [647,] -0.121492262 -0.1282024767
##  [648,]  1.355661021  1.3590388724
##  [649,]  0.149036194  0.1441735252
##  [650,] -0.549105813 -0.5587363708
##  [651,] -1.020738407 -1.0335899306
##  [652,] -0.077473220 -0.0838828111
##  [653,] -0.470500381 -0.4795941109
##  [654,] -0.464998001 -0.4740541527
##  [655,] -1.187381923 -1.2013715217
##  [656,]  0.134667121  0.1297063201
##  [657,] -0.972757651 -0.9852814951
##  [658,]  0.496346435  0.4938556866
##  [659,] -0.360452776 -0.3687949469
##  [660,]  2.359295180  2.3695272475
##  [661,]  1.730451722  1.7363891678
##  [662,]  1.699009549  1.7047322639
##  [663,]  0.331275028  0.3276569407
##  [664,] -1.964003594 -1.9832970500
##  [665,]  0.787186535  0.7866820484
##  [666,]  0.001132212 -0.0047405512
##  [667,]  1.184930022  1.1871418838
##  [668,]  0.746311710  0.7455280732
##  [669,]  0.873652510  0.8737385343
##  [670,] -0.336871146 -0.3450522690
##  [671,]  0.655129409  0.6537230517
##  [672,] -0.382462297 -0.3909547797
##  [673,]  1.505640185  1.5100423044
##  [674,] -0.277131018 -0.2849041514
##  [675,] -0.306843871 -0.3148199257
##  [676,] -0.910690802 -0.9227907666
##  [677,]  0.534077043  0.5318439713
##  [678,] -0.646576549 -0.6568727732
##  [679,]  1.966268018  1.9738159477
##  [680,] -0.451635077 -0.4605999685
##  [681,]  0.252669595  0.2485146807
##  [682,] -1.207819336 -1.2219485093
##  [683,]  1.278470486  1.2813211731
##  [684,] -0.611990159 -0.6220501788
##  [685,]  2.359295180  2.3695272475
##  [686,] -0.313289517 -0.3213095910
##  [687,]  0.952257942  0.9528807943
##  [688,] -0.701600352 -0.7122723551
##  [689,]  0.133189338  0.1282184456
##  [690,] -1.008161538 -1.0209271690
##  [691,]  2.447333264  2.4581665786
##  [692,] -0.052319482 -0.0585572879
##  [693,]  0.479053240  0.4764443894
##  [694,] -0.174943956 -0.1820192135
##  [695,]  1.710014309  1.7158121803
##  [696,]  0.354856657  0.3513996186
##  [697,]  0.097030840  0.0918130060
##  [698,] -0.778633676 -0.7898317699
##  [699,] -0.247260954 -0.2548300926
##  [700,] -0.734614633 -0.7455121043
##  [701,] -0.706316678 -0.7170208907
##  [702,] -1.020738407 -1.0335899306
##  [703,]  1.101608264  1.1032510882
##  [704,]  0.158343077  0.1535439688
##  [705,] -0.627711246 -0.6378786308
##  [706,] -0.863527542 -0.8753054107
##  [707,] -0.857239108 -0.8689740299
##  [708,] -1.448351958 -1.4641238247
##  [709,] -0.627711246 -0.6378786308
##  [710,] -1.005017320 -1.0177614786
##  [711,] -0.391894949 -0.4004518509
##  [712,] -0.981435691 -0.9940188006
##  [713,]  0.551370238  0.5492552685
##  [714,] -1.105632274 -1.1190635713
##  [715,]  1.966268018  1.9738159477
##  [716,]  0.315553941  0.3118284887
##  [717,] -0.262982040 -0.2706585446
##  [718,] -1.036459493 -1.0494183826
##  [719,]  0.331275028  0.3276569407
##  [720,] -0.894969715 -0.9069623146
##  [721,]  1.045798407  1.0470600836
##  [722,] -0.411546307 -0.4202374159
##  [723,]  0.988416441  0.9892862339
##  [724,] -0.406043927 -0.4146974577
##  [725,]  0.865791967  0.8658243083
##  [726,]  0.252669595  0.2485146807
##  [727,]  1.284758921  1.2876525539
##  [728,]  0.615826692  0.6141519217
##  [729,]  0.158343077  0.1535439688
##  [730,] -0.470500381 -0.4795941109
##  [731,]  0.097030840  0.0918130060
##  [732,] -0.778633676 -0.7898317699
##  [733,]  1.838534191  1.8452097753
##  [734,] -0.340801418 -0.3490093820
##  [735,]  0.136333556  0.1313841360
##  [736,] -0.544389487 -0.5539878352
##  [737,]  1.184930022  1.1871418838
##  [738,]  0.746311710  0.7455280732
##  [739,] -0.629283354 -0.6394614760
##  [740,] -1.394900264 -1.4103070879
##  [741,]  0.174064163  0.1693724207
##  [742,] -1.177949271 -1.1918744505
##  [743,]  0.252669595  0.2485146807
##  [744,] -1.207819336 -1.2219485093
##  [745,] -0.179503071 -0.1866094645
##  [746,] -0.855824210 -0.8675494692
##  [747,]  0.001132212 -0.0047405512
##  [748,] -0.627711246 -0.6378786308
##  [749,]  1.293405518  1.2963582025
##  [750,] -0.261409931 -0.2690756994
##  [751,] -0.583692204 -0.4512928387
##  [752,] -1.206247227 -1.1280541320
##  [753,]  0.445252904  0.4424132176
##  [754,] -0.619850702 -0.6299644048
##  [755,]  0.629975670  0.6283975285
##  [756,]  0.158343077  0.1535439688
##  [757,]  1.038723918  1.0399372802
##  [758,]  0.535649152  0.5334268165
##  [759,]  0.252669595  0.2485146807
##  [760,] -0.722037764 -0.7328493427
##  [761,]  0.551370238  0.5492552685
##  [762,] -1.105632274 -1.1190635713
##  [763,]  1.258819128  1.2615356081
##  [764,]  0.724302189  0.7233682404
##  [765,]  0.535649152  0.5334268165
##  [766,] -0.423337122 -0.4321087549
##  [767,]  0.246381161  0.2421832999
##  [768,] -1.322583267 -1.3374962088
##  [769,]  0.567091324  0.5650837205
##  [770,] -1.071045883 -1.0842409769
##  [771,] -0.234684084 -0.2421673310
##  [772,] -1.060041123 -1.0731610605
##  [773,]  1.530007869  1.5345764050
##  [774,]  0.158343077  0.1535439688
##  [775,]  0.299832855  0.2960000367
##  [776,] -0.698456135 -0.7091066647
##  [777,]  0.721157972  0.7202025500
##  [778,]  0.188213141  0.1836180275
##  [779,] -0.651292875 -0.6616213088
##  [780,] -1.118209143 -1.1317263329
##  [781,]  1.180213696  1.1823933482
##  [782,]  0.252669595  0.2485146807
##  [783,]  0.276251225  0.2722573587
##  [784,] -0.682735048 -0.6932782128
##  [785,]  0.158343077  0.1535439688
##  [786,] -0.627711246 -0.6378786308
##  [787,] -0.470500381 -0.4795941109
##  [788,] -0.706316678 -0.7170208907
##  [789,] -0.627711246 -0.6378786308
##  [790,] -0.981435691 -0.9940188006
##  [791,] -1.413765568 -1.4293012303
##  [792,] -1.492371000 -1.5084434903
##  [793,] -0.077473220 -0.0838828111
##  [794,] -0.549105813 -0.5587363708
##  [795,]  1.180213696  1.1823933482
##  [796,]  0.252669595  0.2485146807
##  [797,] -0.234684084 -0.2421673310
##  [798,] -0.784922110 -0.7961631507
##  [799,] -0.706316678 -0.7170208907
##  [800,] -0.863527542 -0.8753054107
##  [801,]  2.198940098  2.2080770372
##  [802,]  1.010425962  1.0114460667
##  [803,]  0.276251225  0.2722573587
##  [804,] -0.682735048 -0.6932782128
##  [805,]  1.101608264  1.1032510882
##  [806,] -0.061752133 -0.0680543591
##  [807,] -0.344731690 -0.3529664950
##  [808,] -1.075762209 -1.0889895125
##  [809,]  0.881513053  0.8816527603
##  [810,] -0.250405171 -0.2579957830
##  [811,]  3.459771231  3.4775188868
##  [812,]  0.787186535  0.7866820484
##  [813,]  0.394159374  0.3909707486
##  [814,]  0.158343077  0.1535439688
##  [815,]  1.416029993  1.4198201280
##  [816,] -0.784922110 -0.7961631507
##  [817,]  0.472764806  0.4701130086
##  [818,]  0.158343077  0.1535439688
##  [819,] -0.108915393 -0.1155397151
##  [820,] -0.360452776 -0.3687949469
##  [821,]  1.562236097  1.5670247315
##  [822,] -0.009872548 -0.0158204675
##  [823,]  1.136194654  1.1380736826
##  [824,] -0.218962998 -0.2263388790
##  [825,]  0.629975670  0.6283975285
##  [826,]  0.158343077  0.1535439688
##  [827,]  1.543370793  1.5480305892
##  [828,] -0.063324242 -0.0696372043
##  [829,]  0.318698159  0.3149941791
##  [830,] -1.038031602 -1.0510012278
##  [831,] -0.784922110 -0.7961631507
##  [832,] -1.177949271 -1.1918744505
##  [833,]  0.252669595  0.2485146807
##  [834,] -0.942132975 -0.9544476706
##  [835,]  0.158343077  0.1535439688
##  [836,] -0.877676520 -0.8895510174
##  [837,]  1.205367434  1.2077188713
##  [838,] -0.154506544 -0.1614422259
##  [839,]  1.535510250  1.5401163632
##  [840,] -0.355736450 -0.3640464113
##  [841,]  1.136194654  1.1380736826
##  [842,] -0.218962998 -0.2263388790
##  [843,]  1.730451722  1.7363891678
##  [844,] -0.218962998 -0.2263388790
##  [845,]  1.136194654  1.1380736826
##  [846,] -0.218962998 -0.2263388790
##  [847,]  0.095458731  0.0902301608
##  [848,] -0.407616035 -0.4162803029
##  [849,]  0.787186535  0.7866820484
##  [850,] -0.272414692 -0.2801556158
##  [851,]  2.485063871  2.4961548634
##  [852,]  0.636264105  0.6347289093
##  [853,]  0.079737645  0.0744017088
##  [854,] -0.218962998 -0.2263388790
##  [855,]  0.158343077  0.1535439688
##  [856,] -1.177949271 -1.1918744505
##  [857,]  1.015142288  1.0161946023
##  [858,] -0.272414692 -0.2801556158
##  [859,] -0.611990159 -0.6220501788
##  [860,] -0.722037764 -0.7328493427
##  [861,]  1.730451722  1.7363891678
##  [862,] -0.218962998 -0.2263388790
##  [863,] -1.020738407 -1.0335899306
##  [864,] -1.177949271 -1.1918744505
##  [865,]  0.476695077  0.4740701216
##  [866,] -0.501942554 -0.5112510149
##  [867,]  0.988416441  0.9892862339
##  [868,] -0.602557507 -0.6125531076
##  [869,]  0.119040361  0.1139728388
##  [870,] -0.273986801 -0.2817384610
##  [871,] -1.020738407 -1.0335899306
##  [872,] -1.177949271 -1.1918744505
##  [873,] -0.880537758 -0.8924317957
##  [874,] -1.540131661 -1.5565303274
##  [875,]  0.331275028  0.3276569407
##  [876,]  0.032574385  0.0269163528
##  [877,]  1.158204175  1.1602335154
##  [878,] -0.549105813 -0.5587363708
##  [879,]  0.252669595  0.2485146807
##  [880,] -1.207819336 -1.2219485093
##  [881,] -0.156078652 -0.1630250711
##  [882,] -0.627711246 -0.6378786308
##  [883,] -0.299140539 -0.3070639842
##  [884,] -1.214107770 -1.2282798901
##  [885,]  2.885951576  2.8997803892
##  [886,] -0.093194306 -0.0997112631
##  [887,]  0.472764806  0.4701130086
##  [888,] -0.498798337 -0.5080853245
##  [889,]  3.211378065  3.2274293454
##  [890,]  1.129906219  1.1317423018
##  [891,]  0.252669595  0.2485146807
##  [892,] -1.209391444 -1.2235313545
##  [893,]  0.104891383  0.0997272320
##  [894,] -0.200097694 -0.2073447366
##  [895,] -0.014588874 -0.0205690031
##  [896,] -1.330443810 -1.3454104348
##  [897,]  0.582812411  0.5809121725
##  [898,]  0.472764806  0.4701130086
##  [899,] -0.476222857 -0.4853556674
##  [900,] -1.250675017 -1.2650968694
##  [901,] -0.706316678 -0.7170208907
##  [902,] -1.303717963 -1.3185020664
##  [903,] -0.753479937 -0.7645062467
##  [904,] -0.867143392 -0.8789459546
##  [905,]  0.567091324  0.5650837205
##  [906,] -1.071045883 -1.0842409769
##  [907,] -0.266126257 -0.2738242350
##  [908,] -1.438919306 -1.4546267535
##  [909,]  0.313981833  0.3102456435
##  [910,]  0.222799531  0.2184406219
##  [911,]  2.447333264  2.4581665786
##  [912,]  0.354856657  0.3513996186
##  [913,] -0.706316678 -0.7170208907
##  [914,] -1.177949271 -1.1918744505
##  [915,] -1.809936947 -1.7842859231
##  [916,] -1.885398161 -1.7943053332
##  [917,]  0.476537867  0.4739118371
##  [918,] -0.467985007 -0.4770615586
##  [919,]  0.975839572  0.9766234723
##  [920,] -0.888681281 -0.9006309338
##  [921,]  1.966268018  1.9738159477
##  [922,]  0.315553941  0.3118284887
##  [923,] -0.486221468 -0.4954225629
##  [924,] -1.234545183 -1.2488568776
##  [925,] -0.534170781 -0.5436993414
##  [926,] -1.263314771 -1.2778229448
##  [927,]  1.181785805  1.1839761934
##  [928,] -0.141929674 -0.1487794643
##  [929,] -0.533384727 -0.5429079188
##  [930,] -0.942132975 -0.9544476706
##  [931,]  0.975839572  0.9766234723
##  [932,] -0.890253389 -0.9022137790
##  [933,]  0.457043719  0.4542845566
##  [934,] -0.093194306 -0.0997112631
##  [935,]  1.585817726  1.5907674095
##  [936,]  0.271534899  0.2675088231
##  [937,] -0.093194306 -0.0997112631
##  [938,] -1.162228185 -1.1760459985
##  [939,]  1.258819128  1.2615356081
##  [940,]  0.472764806  0.4701130086
##  [941,]  0.102533220  0.0973529642
##  [942,] -0.483077250 -0.4922568725
##  [943,]  0.001132212 -0.0047405512
##  [944,] -0.313289517 -0.3213095910
##  [945,]  1.533938141  1.5385335180
##  [946,]  0.350140331  0.3466510830
##  [947,]  0.079737645  0.0744017088
##  [948,] -0.391894949 -0.4004518509
##  [949,]  0.394159374  0.3909707486
##  [950,] -0.824224826 -0.8357342807
##  [951,]  1.101608264  1.1032510882
##  [952,]  0.551370238  0.5492552685
##  [953,] -0.784922110 -0.7961631507
##  [954,] -1.177949271 -1.1918744505
##  [955,]  2.407244493  2.4178040261
##  [956,]  0.824131088  0.8238789106
##  [957,] -2.042609026 -2.0372245859
##  [958,]  0.813126327  0.8127989942
##  [959,] -0.398183383 -0.4067832317
##  [960,]  0.758888579  0.7581908348
##  [961,] -0.624567028 -0.6347129404
##  [962,]  0.975839572  0.9766234723
##  [963,] -0.888681281 -0.9006309338
##  [964,] -0.077473220 -0.0838828111
##  [965,] -0.627711246 -0.6378786308
##  [966,] -0.949993518 -0.9623618966
##  [967,] -1.335160136 -1.3501589704
##  [968,]  2.805774035  2.8190552840
##  [969,]  0.875224619  0.8753213795
##  [970,]  0.548226021  0.5460895781
##  [971,]  0.188213141  0.1836180275
##  [972,] -1.020738407 -1.0335899306
##  [973,] -1.385467612 -1.4008100168
##  [974,] -1.453068284 -1.2591770283
##  [975,] -1.500231544 -1.3176156731
##  [976,] -0.533384727 -0.5429079188
##  [977,] -1.217251987 -1.2314455804
##  [978,]  1.023002831  1.0241088283
##  [979,]  0.313195778  0.3094542209
##  [980,]  1.180213696  1.1823933482
##  [981,]  0.472764806  0.4701130086
##  [982,] -0.039742612 -0.0458945263
##  [983,] -0.664152724 -0.6745689825
##  [984,]  1.184930022  1.1871418838
##  [985,]  0.746311710  0.7455280732
##  [986,]  0.158343077  0.1535439688
##  [987,] -0.218962998 -0.2263388790
##  [988,]  0.859503532  0.8594929275
##  [989,] -0.368313319 -0.3767091729
##  [990,]  0.944397399  0.9449665683
##  [991,] -0.549105813 -0.5587363708
##  [992,] -0.997156777 -1.0098472526
##  [993,] -1.721898862 -1.7395388894
##  [994,]  1.730451722  1.7363891678
##  [995,] -0.218962998 -0.2263388790
##  [996,]  2.826211447  2.8396322716
##  [997,]  0.666935944  0.6656102191
##  [998,]  2.044873451  2.0529582077
##  [999,]  0.158343077  0.1535439688
## [1000,] -0.679590831 -0.6901125224
## [1001,] -0.832085369 -0.8436485067
## [1002,]  0.394159374  0.3909707486
## [1003,]  0.001132212 -0.0047405512
## [1004,] -0.077473220 -0.0838828111
## [1005,] -0.470500381 -0.4795941109
## [1006,] -0.973575147 -0.9861045746
## [1007,] -1.413765568 -1.4293012303
## [1008,] -0.423337122 -0.4321087549
## [1009,] -0.885647111 -0.8975760426
## [1010,]  1.981989105  1.9896443997
## [1011,]  0.378438287  0.3751422966
## [1012,]  0.565519216  0.5635008753
## [1013,] -0.324294277 -0.3323895074
## [1014,]  1.139417477  1.1413185152
## [1015,]  0.359572983  0.3561481542
## [1016,] -0.464998001 -0.4740541527
## [1017,] -1.187381923 -1.2013715217
## [1018,]  0.875224619  0.8753213795
## [1019,] -0.695311917 -0.7059409744
## [1020,]  1.785475524  1.7917887498
## [1021,]  0.619914175  0.6182673192
## [1022,]  0.661417843  0.6600544325
## [1023,] -0.407616035 -0.4162803029
## [1024,]  1.258819128  1.2615356081
## [1025,] -0.407616035 -0.4162803029
## [1026,] -0.022449417 -0.0284832291
## [1027,] -1.060041123 -1.0731610605
## [1028,]  0.548226021  0.5460895781
## [1029,]  0.188213141  0.1836180275
## [1030,]  2.516506044  2.5278117674
## [1031,]  0.881513053  0.8816527603
## [1032,]  3.491213404  3.5091757908
## [1033,]  1.148771523  1.1507364442
## [1034,] -0.156078652  0.3475374764
## [1035,] -0.784922110 -0.4314756168
## [1036,] -0.863527542 -0.8753054107
## [1037,] -1.099343839 -1.1127321905
## [1038,] -0.297568430 -0.3054811390
## [1039,] -0.627711246 -0.6378786308
## [1040,] -0.022449417 -0.0284832291
## [1041,] -1.060041123 -1.0731610605
## [1042,] -0.266126257 -0.2738242350
## [1043,] -1.438919306 -1.4546267535
## [1044,]  1.313842931  1.3169351901
## [1045,] -0.061752133 -0.0680543591
## [1046,]  2.359295180  2.3695272475
## [1047,] -0.313289517 -0.3213095910
## [1048,]  2.058849496  2.0670297015
## [1049,]  0.586884172  0.5850117416
## [1050,]  2.439472720  2.4502523526
## [1051,] -0.047603156 -0.0538087523
## [1052,] -1.118209143 -1.1317263329
## [1053,] -1.663730843 -1.6809736170
## [1054,]  0.252669595  0.2485146807
## [1055,] -1.207819336 -1.2219485093
## [1056,]  0.001132212 -0.0047405512
## [1057,] -1.099343839 -1.1127321905
## [1058,]  0.001132212 -0.0047405512
## [1059,] -1.099343839 -1.1127321905
## [1060,]  0.315553941  0.3118284887
## [1061,] -0.470500381 -0.4795941109
## [1062,] -0.627711246 -0.6378786308
## [1063,] -0.942132975 -0.9544476706
## [1064,]  0.831205577  0.8310017140
## [1065,] -0.717321438 -0.7281008071
## [1066,]  1.925393194  1.9326619725
## [1067,] -0.154506544 -0.1614422259
## [1068,]  0.064016558  0.0585732568
## [1069,] -0.737758851 -0.7486777947
## [1070,]  1.158204175  1.1602335154
## [1071,] -0.549105813 -0.5587363708
## [1072,] -1.087553024 -1.1008608515
## [1073,] -1.595344117 -1.6121198508
## [1074,] -1.011305755 -1.0240928594
## [1075,] -1.460928827 -1.4767865863
## [1076,]  0.636264105  0.6347289093
## [1077,] -0.596269073 -0.6062217268
## [1078,] -0.476222857 -0.4853556674
## [1079,] -1.250675017 -1.2650968694
## [1080,]  2.433970340  2.4447123944
## [1081,]  0.158343077  0.1535439688
## [1082,] -0.802639775 -0.8140018161
## [1083,] -1.442676646 -1.4584097535
## [1084,] -0.187520825 -0.1946819750
## [1085,] -1.012877864 -1.0256757046
## [1086,]  2.470914893  2.4819092566
## [1087,]  1.051300787  1.0526000418
## [1088,]  0.057728124  0.0522418760
## [1089,] -0.678018722 -0.6885296772
## [1090,]  1.573240857  1.5781046479
## [1091,] -0.391894949 -0.4004518509
## [1092,]  2.044873451  2.0529582077
## [1093,]  0.472764806  0.4701130086
## [1094,]  0.158343077  0.1535439688
## [1095,] -0.313289517 -0.3213095910
## [1096,]  0.472764806  0.4701130086
## [1097,]  0.189785250  0.1852008727
## [1098,]  0.551370238  0.5492552685
## [1099,] -1.105632274 -1.1190635713
## [1100,]  0.231288918  0.2269879860
## [1101,] -0.286375017 -0.2942112812
## [1102,] -1.181093489 -1.1950401409
## [1103,] -1.357169657 -1.3723188032
## [1104,] -0.179503071 -0.1866094645
## [1105,] -0.855824210 -0.8675494692
## [1106,] -1.177949271 -0.9183588001
## [1107,] -1.492371000 -1.3078653467
## [1108,]  2.044873451  2.0529582077
## [1109,]  0.158343077  0.1535439688
## [1110,]  0.315553941  0.3118284887
## [1111,] -0.156078652 -0.1630250711
## [1112,] -0.195381368 -0.2025962010
## [1113,] -1.075762209 -1.0889895125
## [1114,]  1.632855217  1.6381261379
## [1115,]  0.136647977  0.1317007050
## [1116,]  1.728879613  1.7348063226
## [1117,] -0.168655521 -0.1756878327
## [1118,] -0.847806456 -0.5093832575
## [1119,] -1.335160136 -1.1131120734
## [1120,]  2.249247574  2.2587280835
## [1121,]  0.551370238  0.5492552685
## [1122,]  0.472764806  0.4701130086
## [1123,] -0.942132975 -0.9544476706
## [1124,]  0.236948509  0.2326862287
## [1125,] -0.541245270 -0.5508221448
## [1126,] -0.627711246 -0.6378786308
## [1127,] -1.256554704 -1.2710167104
## [1128,] -0.124636479 -0.1313681671
## [1129,] -0.753479937 -0.7645062467
## [1130,] -0.130924914 -0.1376995479
## [1131,] -0.448490860 -0.4574342781
## [1132,]  1.416029993  1.4198201280
## [1133,]  0.315553941  0.3118284887
## [1134,]  1.136194654  1.1380736826
## [1135,] -0.218962998 -0.2263388790
## [1136,] -1.492371000 -1.5084434903
## [1137,] -1.586697519 -1.6034142022
## [1138,] -0.234684084 -0.2421673310
## [1139,] -0.627711246 -0.6378786308
## [1140,]  0.787186535  0.7866820484
## [1141,]  0.472764806  0.4701130086
## [1142,]  0.787186535  1.5160571161
## [1143,]  0.001132212  0.5422907497
## [1144,]  0.284111768  0.2801715847
## [1145,] -0.313289517 -0.3213095910
## [1146,] -0.706316678 -0.7170208907
## [1147,] -1.256554704 -1.2710167104
## [1148,] -0.706316678 -0.7170208907
## [1149,] -0.784922110 -0.7961631507
## [1150,]  1.463193252  1.4673054840
## [1151,]  0.032574385  0.0269163528
## [1152,]  0.276251225  0.2722573587
## [1153,] -0.682735048 -0.6932782128
## [1154,] -1.335160136 -1.1131120734
## [1155,] -0.539673162 -0.5492392996
## [1156,] -1.104060165 -1.1174807261
## [1157,]  2.071599298  2.0798665760
## [1158,] -0.138785457 -0.1456137739
## [1159,]  0.364289309  0.3608966898
## [1160,] -0.990868343 -1.0035158718
## [1161,]  1.710014309  1.7158121803
## [1162,] -0.253549388 -0.2611614734
## [1163,] -0.470500381 -0.4795941109
## [1164,] -1.020738407 -1.0335899306
## [1165,]  1.184930022  1.1871418838
## [1166,]  0.746311710  0.7455280732
## [1167,]  0.111179817  0.1060586128
## [1168,] -0.391894949 -0.4004518509
## [1169,]  0.912955226  0.9133096643
## [1170,] -0.250405171 -0.2579957830
## [1171,] -0.156078652 -0.1630250711
## [1172,] -1.335160136 -1.3501589704
## [1173,]  1.710014309  1.7158121803
## [1174,]  0.158343077  0.1535439688
## [1175,]  1.710014309  1.7158121803
## [1176,]  0.601677715  0.5999063149
## [1177,] -1.728187297 -1.5999952566
## [1178,] -1.728187297 -1.5999952566
## [1179,] -0.627711246 -0.6378786308
## [1180,] -1.203103010 -1.2171999737
## [1181,]  0.526436595  0.5241513437
## [1182,]  0.526436595  0.5241513437
## [1183,] -0.313289517 -0.3213095910
## [1184,] -0.828941152 -0.8404828163
## [1185,]  2.343574093  2.3536987955
## [1186,]  0.582812411  0.5809121725
## [1187,]  0.857931424  0.8579100823
## [1188,] -1.319439049 -1.3343305184
## [1189,]  0.629975670  0.6283975285
## [1190,] -0.156078652 -0.1630250711
## [1191,]  0.318698159  0.3149941791
## [1192,] -1.038031602 -1.0510012278
## [1193,] -0.313289517 -0.3213095910
## [1194,] -0.760240004 -0.7713124811
## [1195,]  0.425601546  0.4226276526
## [1196,] -0.501942554 -0.5112510149
## [1197,]  1.329564017  1.3327636421
## [1198,] -0.360452776 -0.3687949469
## [1199,]  0.315553941 -0.5590687683
## [1200,]  2.162781599  2.1716715976
## [1201,]  0.284111768  0.2801715847
## [1202,]  0.079737645  0.0744017088
## [1203,] -0.156078652 -0.1630250711
## [1204,]  1.258819128  1.2615356081
## [1205,]  0.472764806  0.4701130086
## [1206,]  0.048295472  0.0427448048
## [1207,] -0.218962998 -0.2263388790
## [1208,] -0.880537758 -0.8924317957
## [1209,] -1.540131661 -1.5565303274
## [1210,]  1.636125203  1.6414184559
## [1211,]  0.787186535  0.7866820484
## [1212,]  1.015142288  1.0161946023
## [1213,] -0.242544628 -0.2500815570
## [1214,] -0.218962998 -0.2263388790
## [1215,] -0.722037764 -0.7328493427
## [1216,] -0.627711246 -0.6378786308
## [1217,] -0.942132975 -0.9544476706
## [1218,] -0.077473220 -0.0838828111
## [1219,] -0.549105813 -0.5587363708
## [1220,] -0.108915393 -0.1155397151
## [1221,] -0.517663640 -0.5270794669
## [1222,]  1.038723918  1.0399372802
## [1223,]  0.535649152  0.5334268165
## [1224,]  2.736601254  2.7494100953
## [1225,]  0.142621990  0.1377155168
## [1226,] -0.313289517 -0.3213095910
## [1227,] -0.627711246 -0.6378786308
## [1228,] -1.413765568 -1.2104887100
## [1229,] -1.649581865 -1.5026186200
## [1230,]  3.459771231  3.4775188868
## [1231,]  0.787186535  0.7866820484
## [1232,]  1.970984344  1.9785644833
## [1233,]  0.527788608  0.5255125905
## [1234,]  1.258819128  1.2615356081
## [1235,]  0.724302189  0.7233682404
## [1236,]  1.620404116  1.6255900039
## [1237,]  0.347624958  0.3441185307
## [1238,]  1.321703474  1.3248494161
## [1239,]  0.441322633  0.4384561046
## [1240,]  0.221227423  0.2168577767
## [1241,] -0.313289517 -0.3213095910
## [1242,] -0.639690713 -0.6499399112
## [1243,] -1.283689299 -1.2983366186
## [1244,] -1.523813173 -1.4732568415
## [1245,] -1.602418605 -1.5587146538
## [1246,] -1.086766970 -1.1000694289
## [1247,] -1.511236304 -1.5274376327
## [1248,]  1.713158527  1.7189778707
## [1249,]  0.411138147  0.4080654768
## [1250,] -1.453068284 -1.2591770283
## [1251,] -1.500231544 -1.3176156731
## [1252,] -0.470500381 -0.4795941109
## [1253,] -0.627711246 -0.6378786308
## [1254,]  2.500784958  2.5119833154
## [1255,] -0.124636479 -0.1313681671
## [1256,]  0.813126327  0.8127989942
## [1257,] -0.398183383 -0.4067832317
## [1258,] -1.335160136 -1.3501589704
## [1259,] -1.413765568 -1.4293012303
## [1260,] -0.280275235 -0.2880698418
## [1261,] -1.281708442 -1.2963422336
## [1262,] -0.077473220 -0.0838828111
## [1263,] -0.627711246 -0.6378786308
## [1264,]  0.158343077  0.1535439688
## [1265,] -0.156078652 -0.1630250711
## [1266,] -0.981435691 -0.9940188006
## [1267,] -1.374462852 -1.3897301004
## [1268,] -0.124636479 -0.1313681671
## [1269,] -0.344731690 -0.3529664950
## [1270,]  0.158343077  0.1535439688
## [1271,] -0.313289517 -0.3213095910
## [1272,]  0.079737645  0.0744017088
## [1273,] -0.163939195 -0.1709392971
## [1274,]  0.831205577  0.8310017140
## [1275,] -0.717321438 -0.7281008071
## [1276,]  1.117329350  1.1190795402
## [1277,] -0.329010603 -0.3371380430
## [1278,]  1.714730635  1.7205607159
## [1279,] -0.175730010 -0.1828106361
## [1280,] -0.470500381 -0.4795941109
## [1281,] -0.784922110 -0.7961631507
## [1282,]  0.079737645  0.0744017088
## [1283,] -0.313289517 -0.3213095910
## [1284,]  1.530793924  1.5353678276
## [1285,] -0.160794978 -0.1677736067
## [1286,]  1.023002831  1.0241088283
## [1287,]  0.515997793  0.5136412515
## [1288,]  1.543370793  1.5480305892
## [1289,] -0.063324242 -0.0696372043
## [1290,]  0.897234140  0.8974812123
## [1291,] -0.140357566 -0.1471966191
## [1292,] -0.942132975 -0.9544476706
## [1293,] -1.492371000 -1.5084434903
## [1294,]  1.530793924  1.5353678276
## [1295,] -0.160794978 -0.1677736067
## [1296,] -1.791071643 -1.8091840781
## [1297,]  2.359295180  2.3695272475
## [1298,] -0.784922110 -0.7961631507
## [1299,]  2.359295180  2.3695272475
## [1300,] -0.784922110 -0.7961631507
## [1301,] -0.522379966 -0.5318280025
## [1302,] -0.888681281 -0.9006309338
## [1303,] -1.099343839 -1.1127321905
## [1304,] -1.570976433 -1.5875857502
## [1305,]  0.457043719  0.4542845566
## [1306,]  0.417583792  0.4145551421
## [1307,]  0.708581102  0.7075397884
## [1308,] -0.097124578 -0.1036683761
## [1309,]  0.472764806  0.4701130086
## [1310,]  0.189785250  0.1852008727
## [1311,]  0.771465448  0.7708535964
## [1312,]  0.736250215  0.7353978639
## [1313,] -0.942132975 -0.9544476706
## [1314,] -1.256554704 -1.2710167104
## [1315,]  2.736601254  2.7494100953
## [1316,]  0.142621990  0.1377155168
## [1317,]  1.133050437  1.1349079922
## [1318,]  0.142621990  0.1377155168
## [1319,]  0.394159374  0.3909707486
## [1320,]  0.001132212 -0.0047405512
## [1321,] -1.570976433 -1.5875857502
## [1322,] -1.335160136 -1.2681834175
## [1323,] -0.627711246 -0.6378786308
## [1324,] -1.177949271 -1.1918744505
## [1325,] -1.681024038 -1.6441566377
## [1326,] -1.791071643 -1.7637880778
## [1327,]  1.101608264  1.1032510882
## [1328,] -1.099343839 -1.1127321905
## [1329,]  0.276251225  0.2722573587
## [1330,] -0.682735048 -0.6932782128
## [1331,]  0.001132212 -0.0047405512
## [1332,] -0.313289517 -0.3213095910
## [1333,]  0.001132212 -0.0047405512
## [1334,] -0.313289517 -0.3213095910
## [1335,] -0.368313319 -0.3767091729
## [1336,] -1.130786012 -1.1443890945
## [1337,]  0.565519216  0.5635008753
## [1338,] -0.324294277 -0.3323895074
## [1339,]  1.573240857  1.5781046479
## [1340,]  1.133050437  1.1349079922
## [1341,] -0.077473220 -0.0838828111
## [1342,] -0.470500381 -0.4795941109
## [1343,]  0.001132212 -0.0047405512
## [1344,] -0.470500381 -0.4795941109
## [1345,]  0.857931424  0.8579100823
## [1346,] -0.121492262 -0.1282024767
## [1347,]  2.312131920  2.3220418915
## [1348,] -0.187520825 -0.1946819750
## [1349,] -0.036598395 -0.0427288359
## [1350,] -0.685879265 -0.6964439032
## [1351,]  1.530793924  1.5353678276
## [1352,] -0.160794978 -0.1677736067
## [1353,] -1.046269451 -0.7552307739
## [1354,] -1.335097251 -1.1130329311
## [1355,] -0.293638159 -0.3015240260
## [1356,] -0.343159581 -0.3513836498
## [1357,] -0.533384727 -0.5429079188
## [1358,] -0.942132975 -0.9544476706
## [1359,]  0.386298830  0.3830565226
## [1360,] -0.580547986 -0.5903932748
## [1361,] -1.468789371 -1.4847008123
## [1362,] -1.791071643 -1.7637880778
## [1363,]  1.211655869  1.2140502521
## [1364,]  0.551370238  0.5492552685
## [1365,]  1.258819128  1.2615356081
## [1366,]  0.158343077  0.1535439688
## [1367,]  0.551370238  0.5492552685
## [1368,]  0.001132212 -0.0047405512
## [1369,] -0.182804499 -0.1899334394
## [1370,] -0.616706485 -0.6267987144
## [1371,]  0.551370238  0.5492552685
## [1372,] -1.105632274 -1.1190635713
## [1373,]  0.920815770  0.9212238903
## [1374,]  0.236948509  0.2326862287
## [1375,] -0.784922110 -0.7961631507
## [1376,] -1.177949271 -1.1918744505
## [1377,]  0.551370238  0.5492552685
## [1378,]  0.001132212 -0.0047405512
## [1379,] -1.649581865 -1.6099830098
## [1380,] -1.791071643 -1.7637880778
## [1381,] -0.195381368 -0.2025962010
## [1382,] -1.075762209 -1.0889895125
## [1383,] -0.313289517 -0.3213095910
## [1384,] -1.099343839 -1.1127321905
## [1385,]  1.258819128  1.2615356081
## [1386,]  0.724302189  0.7233682404
## [1387,]  0.831205577  0.8310017140
## [1388,] -0.717321438 -0.7281008071
## [1389,]  1.038723918  1.0399372802
## [1390,]  0.535649152  0.5334268165
## [1391,]  0.978590762  0.9793934514
## [1392,]  0.095458731  0.0902301608
## [1393,]  0.535649152  0.5334268165
## [1394,] -0.423337122 -0.4321087549
## [1395,] -0.609616275 -0.6196600825
## [1396,] -1.308575779 -1.3233930581
## [1397,]  0.629975670  0.6283975285
## [1398,] -0.176516065 -0.1836020587
## [1399,] -0.862898699 -0.8746722726
## [1400,] -1.423198220 -1.4387983015
## [1401,]  0.752631587  0.7518911109
## [1402,]  0.102580383  0.0974004495
## [1403,]  2.485063871  2.4961548634
## [1404,] -0.093194306 -0.0997112631
## [1405,]  0.346996114  0.3434853926
## [1406,] -0.156078652 -0.1630250711
## [1407,] -1.209391444 -0.9573126204
## [1408,] -1.429486654 -1.2299735344
## [1409,]  0.551370238  0.5492552685
## [1410,]  0.001132212 -0.0047405512
## [1411,]  0.064016558  0.0585732568
## [1412,] -0.737758851 -0.7486777947
## [1413,]  0.472764806  0.4701130086
## [1414,] -0.432769774 -0.4416058261
## [1415,] -1.099343839 -1.1127321905
## [1416,] -1.256554704 -1.2710167104
## [1417,] -0.470500381 -0.4795941109
## [1418,] -0.942132975 -0.9544476706
## [1419,]  1.219516412  1.2219644781
## [1420,] -0.038170504 -0.0443116811
## [1421,]  0.001132212 -0.0047405512
## [1422,] -1.570976433 -1.5875857502
## [1423,] -1.413765568 -1.2104887100
## [1424,] -1.649581865 -1.5026186200
## [1425,]  1.101608264  1.1032510882
## [1426,]  0.472764806  0.4701130086
## [1427,]  2.856710355  2.8703394685
## [1428,]  1.851818509  1.8585848172
## [1429,]  0.629975670  0.6283975285
## [1430,] -0.313289517 -0.3213095910
## [1431,]  0.158343077  0.1535439688
## [1432,] -0.313289517 -0.3213095910
## [1433,]  0.001132212 -0.0047405512
## [1434,] -1.570976433 -1.5875857502
## [1435,]  0.350140331  0.3466510830
## [1436,] -0.294424213 -0.3023154486
## [1437,]  1.573240857  1.5781046479
## [1438,] -0.784922110 -0.7961631507
## [1439,]  0.441322633  0.4384561046
## [1440,]  0.236948509  0.2326862287
## [1441,]  0.831205577  0.8310017140
## [1442,] -0.717321438 -0.7281008071
## [1443,]  0.079737645  0.0744017088
## [1444,] -0.470500381 -0.4795941109
## [1445,]  2.044873451  2.0529582077
## [1446,]  0.787186535  0.7866820484
## [1447,]  0.535649152  0.5334268165
## [1448,] -0.423337122 -0.4321087549
## [1449,]  0.831205577  0.8310017140
## [1450,] -0.717321438 -0.7281008071
## [1451,] -1.413765568 -1.2104887100
## [1452,] -1.492371000 -1.3078653467
## [1453,]  2.202084315  2.2112427276
## [1454,]  0.365861418  0.3624795350
## [1455,]  1.337424560  1.3406778681
## [1456,]  0.850070881  0.8499958564
## [1457,]  2.359295180  2.3695272475
## [1458,]  1.133050437  1.1349079922
## [1459,]  0.158343077  0.1535439688
## [1460,] -0.218962998 -0.2263388790
## [1461,]  0.881513053  0.8816527603
## [1462,] -0.250405171 -0.2579957830
## [1463,]  0.079737645  0.0744017088
## [1464,] -0.706316678 -0.7170208907
## [1465,]  2.162781599  2.1716715976
## [1466,]  0.983700115  0.9845376983
## [1467,]  0.630400140  0.6288248967
## [1468,]  0.032920249  0.0272645788
## [1469,] -2.074051199 -2.0713982138
## [1470,] -0.313289517 -0.3213095910
## [1471,] -0.784922110 -0.7961631507
## [1472,]  1.573240857  1.5781046479
## [1473,] -0.391894949 -0.4004518509
## [1474,] -0.297568430 -0.3054811390
## [1475,] -0.973575147 -0.9861045746
## [1476,] -1.099343839 -1.1127321905
## [1477,] -1.570976433 -1.5875857502
## [1478,]  0.755744362  0.7550251444
## [1479,] -0.281847344 -0.2896526870
## [1480,] -0.391894949 -0.4004518509
## [1481,] -0.549105813 -0.5587363708
## [1482,]  0.535649152  0.5334268165
## [1483,] -0.423337122 -0.4321087549
## [1484,] -0.077473220 -0.0838828111
## [1485,] -0.313289517 -0.3213095910
## [1486,]  0.326558702  0.3229084051
## [1487,] -0.566399008 -0.5761476680
## [1488,]  0.535649152  0.5334268165
## [1489,] -0.423337122 -0.4321087549
## [1490,]  2.044873451  2.0529582077
## [1491,]  0.787186535  0.7866820484
## [1492,]  0.551370238  0.5492552685
## [1493,] -1.083622753 -1.0969037385
## [1494,]  1.101608264  1.1032510882
## [1495,] -1.099343839 -1.1127321905
## [1496,]  0.551370238  0.5492552685
## [1497,] -0.423337122 -0.4321087549
## [1498,] -1.099343839 -1.1127321905
## [1499,] -1.177949271 -1.1918744505
## [1500,]  0.001132212 -0.0047405512
## [1501,] -0.313289517 -0.3213095910
## [1502,] -1.523813173 -1.5401003943
## [1503,] -1.602418605 -1.6192426542
## [1504,]  2.359295180  3.4635898491
## [1505,] -1.413765568 -1.2104887100
## [1506,]  0.001132212 -0.0047405512
## [1507,] -0.391894949 -0.4004518509
## [1508,]  0.001132212 -0.0047405512
## [1509,] -0.313289517 -0.3213095910
## [1510,] -1.453068284 -1.2591770283
## [1511,] -1.500231544 -1.3176156731
## [1512,]  0.629975670  0.6283975285
## [1513,]  0.315553941  0.3118284887
## [1514,] -0.391894949 -0.4004518509
## [1515,] -0.549105813 -0.5587363708
## [1516,] -0.313289517 -0.3213095910
## [1517,] -0.760240004 -0.7713124811
## [1518,]  0.001132212 -0.0047405512
## [1519,] -0.549105813 -0.5587363708
## [1520,]  0.535649152  0.5334268165
## [1521,] -0.423337122 -0.4321087549
## [1522,]  0.692860016  0.6917113364
## [1523,]  0.394159374  0.3909707486
## [1524,]  0.551370238  0.5492552685
## [1525,]  0.158343077  0.1535439688
## [1526,]  0.551370238  0.5492552685
## [1527,] -1.570976433 -1.5875857502
## [1528,] -1.099343839 -1.1127321905
## [1529,] -1.256554704 -1.2710167104
## [1530,]  1.636125203  1.6414184559
## [1531,]  0.787186535  0.7866820484
## [1532,] -0.298889001 -0.3068107289
## [1533,] -0.470500381 -0.4795941109
## [1534,]  0.158343077  0.1535439688
## [1535,] -0.313289517 -0.3213095910
## [1536,]  1.073514682  1.0749656445
## [1537,]  0.449780577  0.4469718118
## [1538,]  1.136194654  1.1380736826
## [1539,] -0.218962998 -0.2263388790
## [1540,]  2.610832563  2.6227824793
## [1541,]  0.818628708  0.8183389524
## [1542,]  1.136194654  1.1380736826
## [1543,] -0.218962998 -0.2263388790
## [1544,]  0.626045399  0.6244404155
## [1545,] -0.482872876 -0.4920511026
## [1546,]  0.189785250  0.1852008727
## [1547,] -0.313289517 -0.3213095910
## [1548,]  0.318698159  0.3149941791
## [1549,] -1.038031602 -1.0510012278
## [1550,]  0.831205577  0.8310017140
## [1551,] -0.717321438 -0.7281008071
## [1552,]  1.588081563  1.5930467066
## [1553,]  0.870791272  0.8708577561
## [1554,]  0.079737645  0.0744017088
## [1555,] -0.391894949 -0.4004518509
## [1556,] -0.234684084 -0.2421673310
## [1557,] -0.564826900 -0.5745648228
## [1558,]  1.073514682  1.0749656445
## [1559,]  0.449780577  0.4469718118
## [1560,]  1.416029993  1.4198201280
## [1561,]  0.208650553  0.2041950151
## [1562,]  1.711586418  1.7173950255
## [1563,]  0.774609666  0.7740192868
## [1564,]  1.032828510  1.0340016107
## [1565,]  0.148517398  0.1436511863
## [1566,]  0.079737645  0.0744017088
## [1567,] -0.391894949 -0.4004518509
## [1568,]  0.315553941  0.3118284887
## [1569,] -0.784922110 -0.7961631507
## [1570,]  1.321703474  1.3248494161
## [1571,]  0.912955226  0.9133096643
## [1572,]  0.834349794  0.8341674044
## [1573,] -0.266126257 -0.2738242350
## [1574,]  1.925393194  1.9326619725
## [1575,] -0.154506544 -0.1614422259
## [1576,]  2.076315623  2.0846151116
## [1577,]  0.912955226  0.9133096643
## [1578,] -0.880522037 -0.8924159673
## [1579,] -1.540131661 -1.5565303274
## [1580,]  0.960118486  0.9607950203
## [1581,]  0.551370238  0.5492552685
## [1582,] -0.489365685 -0.4985882533
## [1583,] -1.177949271 -1.1918744505
## [1584,]  0.148124371  0.1432554750
## [1585,] -0.311717408 -0.3197267458
## [1586,]  1.761893895  1.7680460718
## [1587,]  1.494635425  1.4989623880
## [1588,]  0.629975670  0.6283975285
## [1589,]  0.001132212 -0.0047405512
## [1590,]  0.869219164  0.8692749109
## [1591,] -0.207282231 -0.2145783392
## [1592,]  0.551370238  0.5492552685
## [1593,] -0.869815977 -0.8816367915
## [1594,]  0.158343077  0.1535439688
## [1595,] -0.674874505 -0.6853639868
## [1596,]  1.799624502  1.8060343566
## [1597,]  0.414596786  0.4115477362
## [1598,]  0.158343077  0.1535439688
## [1599,] -0.674874505 -0.6853639868
## [1600,]  1.966268018  1.9738159477
## [1601,]  0.394159374  0.3909707486
## [1602,] -1.162228185 -1.1760459985
## [1603,] -1.570976433 -1.5245251975
## [1604,] -1.728187297 -1.6954249937
## [1605,] -1.086766970 -1.1000694289
## [1606,] -1.511236304 -1.5274376327
## [1607,]  0.001132212 -0.0047405512
## [1608,] -0.391894949 -0.4004518509
## [1609,]  0.944397399  0.9449665683
## [1610,]  0.472764806  0.4701130086
## [1611,]  0.944397399  0.9449665683
## [1612,]  0.079737645  0.0744017088
## [1613,]  0.307693398  0.3039142627
## [1614,] -0.187520825 -0.1946819750
## [1615,]  1.206939543  1.2093017165
## [1616,] -0.261409931 -0.2690756994
## [1617,]  2.024436038  2.0323812201
## [1618,]  0.147338316  0.1424640524
## [1619,]  0.472764806  0.4701130086
## [1620,] -0.470500381 -0.4795941109
## [1621,] -0.391894949 -0.4004518509
## [1622,] -0.549105813 -0.5587363708
## [1623,]  2.316848246  2.3267904271
## [1624,]  0.758888579  0.7581908348
## [1625,]  0.857931424  0.8579100823
## [1626,] -0.173371847 -0.1804363683
## [1627,] -0.621422811 -0.6315472500
## [1628,] -1.287996876 -1.3026736144
## [1629,]  1.739884373  1.7458862390
## [1630,]  0.323414485  0.3197427147
## [1631,] -1.354811494 -1.3699445354
## [1632,] -1.627572344 -1.6445681774
## [1633,]  1.020990532  1.0220827864
## [1634,]  0.580391364  0.5784745909
## [1635,] -0.863527542 -0.8753054107
## [1636,] -1.247122052 -1.2615196392
## [1637,] -0.006728331 -0.0126547771
## [1638,] -0.359273695 -0.3676078130
## [1639,]  0.189785250  0.1852008727
## [1640,] -0.611990159 -0.6220501788
## [1641,]  2.044873451  2.0529582077
## [1642,]  0.515997793  0.5136412515
## [1643,]  0.988416441  0.9892862339
## [1644,] -0.406043927 -0.4146974577
## [1645,]  0.724302189  0.7233682404
## [1646,] -0.115203827 -0.1218710959
## [1647,]  0.551370238  0.5492552685
## [1648,] -1.105632274 -1.1190635713
## [1649,]  0.677138930  0.6758828845
## [1650,] -0.627711246 -0.6378786308
## [1651,]  1.494635425  1.4989623880
## [1652,]  0.551370238  0.5492552685
## [1653,]  0.064016558  0.0585732568
## [1654,] -0.737758851 -0.7486777947
## [1655,] -1.099343839 -1.1127321905
## [1656,] -1.256554704 -1.2710167104
## [1657,]  1.573240857  1.5781046479
## [1658,]  1.180213696  1.1823933482
## [1659,] -0.942132975 -0.9544476706
## [1660,] -1.099343839 -1.1127321905
## [1661,] -1.570976433 -1.4052419833
## [1662,] -1.728187297 -1.5999952566
## [1663,]  0.865791967  0.8658243083
## [1664,]  0.276251225  0.2722573587
## [1665,]  0.828061359  0.8278360236
## [1666,]  0.296688638  0.2928343463
## [1667,]  0.221227423  0.2168577767
## [1668,] -0.313289517 -0.3213095910
## [1669,]  1.416029993  1.4198201280
## [1670,]  1.101608264  1.1032510882
## [1671,]  0.284111768  0.2801715847
## [1672,] -0.313289517 -0.3213095910
## [1673,]  0.565519216  0.5635008753
## [1674,] -0.324294277 -0.3323895074
## [1675,]  2.316848246  2.3267904271
## [1676,]  0.758888579  0.7581908348
## [1677,]  0.629975670  0.6283975285
## [1678,]  0.095458731  0.0902301608
## [1679,]  0.865791967  0.8658243083
## [1680,]  0.032574385  0.0269163528
## [1681,]  0.732162732  0.7312824664
## [1682,] -0.827369044 -0.8388999711
## [1683,]  1.730451722  1.7363891678
## [1684,]  0.661417843  0.6600544325
## [1685,]  1.038723918  1.0399372802
## [1686,]  0.535649152  0.5334268165
## [1687,]  0.661417843  0.6600544325
## [1688,]  0.221227423  0.2168577767
## [1689,]  1.222660629  1.2251301685
## [1690,]  0.077159386  0.0718058427
## [1691,]  0.158343077  0.1535439688
## [1692,] -0.156078652 -0.1630250711
## [1693,]  0.284111768  0.2801715847
## [1694,] -0.313289517 -0.3213095910
## [1695,]  2.123478883  2.1321004676
## [1696,]  0.629975670  0.6283975285
## [1697,]  4.010009257  4.0315147065
## [1698,]  1.887662586  1.8946736878
## [1699,]  1.011998071  1.0130289119
## [1700,] -0.651292875 -0.6616213088
## [1701,] -0.077473220 -0.0838828111
## [1702,] -0.549105813 -0.5587363708
## [1703,] -0.313289517 -0.3213095910
## [1704,] -0.580547986 -0.5903932748
## [1705,]  0.700720559  0.6996255624
## [1706,] -0.623780974 -0.6339215178
## [1707,]  2.280689747  2.2903849875
## [1708,]  0.430317872  0.4273761882
## [1709,] -1.649581865 -1.5026186200
## [1710,] -1.791071643 -1.6779028973
## [1711,] -0.218962998 -0.2263388790
## [1712,] -0.722037764 -0.7328493427
## [1713,]  1.136194654  1.1380736826
## [1714,] -0.218962998 -0.2263388790
## [1715,]  0.661417843  0.6600544325
## [1716,]  0.221227423  0.2168577767
## [1717,]  1.101608264  1.1032510882
## [1718,]  0.582812411  0.5809121725
## [1719,]  3.195656979  3.2116008934
## [1720,]  1.562236097  1.5670247315
## [1721,] -1.020738407 -1.0335899306
## [1722,] -1.115064926 -1.1285606425
## [1723,]  1.015142288  1.0161946023
## [1724,] -0.272414692 -0.2801556158
## [1725,] -0.297568430 -0.3054811390
## [1726,] -0.313289517 -0.3213095910
## [1727,]  0.057728124  0.0522418760
## [1728,] -0.678018722 -0.6885296772
## [1729,]  1.101608264  1.1032510882
## [1730,]  0.205506336  0.2010293247
## [1731,]  0.284111768  0.2801715847
## [1732,] -0.313289517 -0.3213095910
## [1733,] -0.668586070 -0.6790326060
## [1734,] -0.761340480 -0.7724204727
## [1735,] -1.099343839 -1.1127321905
## [1736,] -1.256554704 -1.2710167104
## [1737,] -1.177949271 -1.0972836214
## [1738,]  2.359295180  2.3695272475
## [1739,] -0.784922110 -0.7961631507
## [1740,]  0.394159374  0.3909707486
## [1741,] -0.234684084 -0.2421673310
## [1742,]  0.221227423  0.2168577767
## [1743,] -0.313289517 -0.3213095910
## [1744,]  2.359295180  2.3695272475
## [1745,]  0.960118486  0.9607950203
## [1746,]  1.981989105  1.9896443997
## [1747,]  0.535649152  0.5334268165
## [1748,] -0.549105813 -0.5587363708
## [1749,] -0.627711246 -0.6378786308
## [1750,] -0.159065659 -0.1660324769
## [1751,] -0.858418189 -0.8701611638
## [1752,]  0.268390682  0.2643431327
## [1753,]  0.001132212 -0.0047405512
## [1754,] -0.093194306 -0.0997112631
## [1755,] -0.847806456 -0.8594769587
## [1756,] -0.156078652 -0.1630250711
## [1757,] -0.391894949 -0.4004518509
## [1758,] -0.077473220 -0.0838828111
## [1759,] -0.533384727 -0.5429079188
## [1760,]  0.174064163  0.1693724207
## [1761,] -0.528668401 -0.5381593832
## [1762,] -0.156078652 -0.1630250711
## [1763,] -0.391894949 -0.4004518509
## [1764,]  0.403026066  0.3998979955
## [1765,] -0.079768499 -0.0861937651
## [1766,]  1.180213696  1.1823933482
## [1767,]  0.252669595  0.2485146807
## [1768,]  0.629975670  0.6283975285
## [1769,]  0.001132212 -0.0047405512
## [1770,]  1.180213696  1.1823933482
## [1771,]  0.252669595  0.2485146807
## [1772,]  0.021569625  0.0158364364
## [1773,] -0.374601754 -0.3830405537
## [1774,]  0.629975670  0.6283975285
## [1775,]  0.032574385  0.0269163528
## [1776,]  0.828061359  0.8278360236
## [1777,]  0.296688638  0.2928343463
## [1778,]  0.629975670  0.6283975285
## [1779,]  0.001132212 -0.0047405512
## [1780,]  0.472764806  0.4701130086
## [1781,] -0.391894949 -0.4004518509
## [1782,] -0.580547986 -0.5903932748
## [1783,] -0.935844540 -0.9481162898
## [1784,]  0.854787206  0.8547443920
## [1785,] -0.171799739 -0.1788535231
## [1786,]  2.076315623  2.0846151116
## [1787,]  0.912955226  0.9133096643
## [1788,]  0.551370238  0.5492552685
## [1789,] -0.407616035 -0.4162803029
## [1790,]  1.416029993  1.4198201280
## [1791,]  0.111179817  0.1060586128
## [1792,]  0.988416441  0.9892862339
## [1793,] -0.602557507 -0.6125531076
## [1794,]  0.519928065  0.5175983645
## [1795,] -0.046031047 -0.0522259071
## [1796,]  0.299832855  0.2960000367
## [1797,] -0.926411888 -0.9386192186
## [1798,]  0.944397399  0.9449665683
## [1799,]  0.158343077  0.1535439688
## [1800,] -1.242405726 -1.2567711036
## [1801,] -1.586697519 -1.6034142022
## [1802,]  0.677138930  0.6758828845
## [1803,] -0.344731690 -0.3529664950
## [1804,]  0.284111768  0.2801715847
## [1805,] -0.313289517 -0.3213095910
## [1806,]  0.064016558  0.0585732568
## [1807,] -0.737758851 -0.7486777947
## [1808,] -0.880537758 -0.8924317957
## [1809,] -1.540131661 -1.5565303274
## [1810,]  0.472764806  0.4701130086
## [1811,]  0.158343077  0.1535439688
## [1812,] -0.156078652 -0.1630250711
## [1813,] -0.156078652 -0.1630250711
## [1814,]  1.966268018  1.9738159477
## [1815,]  1.463193252  1.4673054840
## [1816,]  1.023002831  1.0241088283
## [1817,]  0.158343077  0.1535439688
## [1818,]  0.386298830  0.3830565226
## [1819,] -0.580547986 -0.5903932748
## [1820,] -0.391894949 -0.4004518509
## [1821,] -1.099343839 -1.1127321905
## [1822,] -0.077473220 -0.0838828111
## [1823,] -0.549105813 -0.5587363708
## [1824,]  1.730451722  1.7363891678
## [1825,]  0.158343077  0.1535439688
## [1826,]  0.818628708  0.8183389524
## [1827,] -0.156078652 -0.1630250711
## [1828,] -0.313289517 -0.8545226532
## [1829,]  1.573240857  1.5781046479
## [1830,] -0.156078652 -0.1630250711
## [1831,] -1.649581865 -1.6099830098
## [1832,] -1.728187297 -1.6954249937
## [1833,]  0.850070881  0.8499958564
## [1834,] -0.352592233 -0.3608807209
## [1835,] -0.069612677 -0.0759685851
## [1836,] -0.659153419 -0.6695355348
## [1837,]  0.881513053  0.8816527603
## [1838,]  0.395731482  0.3925535938
## [1839,] -0.431197665 -0.4400229809
## [1840,] -1.060041123 -1.0731610605
## [1841,] -0.621422811 -0.6315472500
## [1842,] -1.287996876 -1.3026736144
## [1843,]  0.629975670  0.6283975285
## [1844,]  0.158343077  0.1535439688
## [1845,] -0.863527542 -0.8753054107
## [1846,] -1.177949271 -1.1918744505
## [1847,] -0.218962998 -0.2263388790
## [1848,] -0.722037764 -0.7328493427
## [1849,] -0.313289517 -0.3213095910
## [1850,] -0.706316678 -0.7170208907
## [1851,]  0.064016558  0.0585732568
## [1852,] -0.737758851 -0.7486777947
## [1853,]  1.054445004  1.0557657322
## [1854,]  0.661417843  0.6600544325
## [1855,]  0.315553941  0.3118284887
## [1856,] -0.784922110 -0.7961631507
## [1857,] -0.942132975 -0.9544476706
## [1858,] -1.413765568 -1.4293012303
## [1859,]  3.145349502  3.1609498470
## [1860,]  0.284111768  0.2801715847
## [1861,]  1.335852452  1.3390950229
## [1862,] -0.572687443 -0.5824790488
## [1863,]  3.695587528  3.7149456667
## [1864,]  1.494635425  1.4989623880
## [1865,]  1.651846289  1.6572469079
## [1866,]  1.651846289  1.6572469079
## [1867,]  0.318698159  0.3149941791
## [1868,] -1.038031602 -1.0510012278
## [1869,]  0.318698159  0.3149941791
## [1870,] -1.038031602 -1.0510012278
## [1871,]  0.826489251  0.8262531784
## [1872,]  0.433462090  0.4305418786
## [1873,]  2.485063871  2.4961548634
## [1874,] -0.093194306 -0.0997112631
## [1875,] -0.313289517 -0.3213095910
## [1876,] -0.760240004 -0.7713124811
## [1877,]  2.359295180  2.3695272475
## [1878,]  0.001132212 -0.0047405512
## [1879,]  1.136194654  1.1380736826
## [1880,] -0.218962998 -0.2263388790
## [1881,] -0.077473220 -0.0838828111
## [1882,] -0.313289517 -0.3213095910
## [1883,]  0.079737645  0.0744017088
## [1884,] -0.313289517 -0.3213095910
## [1885,]  1.416029993  1.4198201280
## [1886,]  0.472764806  0.4701130086
## [1887,]  0.318698159  0.3149941791
## [1888,] -1.038031602 -1.0510012278
## [1889,]  0.944397399  0.9449665683
## [1890,]  0.236948509  0.2326862287
## [1891,]  2.359295180  2.3695272475
## [1892,]  0.001132212 -0.0047405512
## [1893,]  2.359295180  2.3695272475
## [1894,]  0.001132212 -0.0047405512
## [1895,]  0.988416441  0.9892862339
## [1896,] -0.602557507 -0.6125531076
## [1897,]  1.000993310  1.0019489955
## [1898,] -0.734614633 -0.7455121043
## [1899,]  1.258819128  1.2615356081
## [1900,]  0.048295472  0.0427448048
## [1901,]  2.485063871  2.4961548634
## [1902,]  0.636264105  0.6347289093
## [1903,]  0.850070881  0.8499958564
## [1904,] -0.352592233 -0.3608807209
## [1905,]  1.573240857  1.5781046479
## [1906,] -0.391894949 -0.4004518509
## [1907,]  3.695587528  3.7149456667
## [1908,]  2.516506044  2.5278117674
## [1909,] -0.470500381 -0.4795941109
## [1910,] -0.973575147 -0.9861045746
## [1911,]  0.126900904  0.1218870648
## [1912,] -0.659153419 -0.6695355348
## [1913,]  3.695587528  3.7149456667
## [1914,]  2.516506044  2.5278117674
## [1915,]  1.530793924  1.5353678276
## [1916,] -0.160794978 -0.1677736067
## [1917,]  1.416029993  1.4198201280
## [1918,]  0.472764806  0.4701130086
## [1919,] -0.313289517 -0.3213095910
## [1920,] -0.760240004 -0.7713124811
## [1921,]  0.944397399  0.9449665683
## [1922,]  0.236948509  0.2326862287
## [1923,]  0.318698159  0.3149941791
## [1924,] -1.038031602 -1.0510012278
## [1925,]  1.136194654  1.1380736826
## [1926,] -0.218962998 -0.2263388790
## [1927,]  0.299832855  0.2960000367
## [1928,] -0.926411888 -0.9386192186
## [1929,] -0.234684084 -0.2421673310
## [1930,] -0.627711246 -0.6378786308
## [1931,] -0.706316678 -0.3340989802
## [1932,] -1.099343839 -0.8209821634
## [1933,]  2.359295180  3.4635898491
## [1934,] -1.837244474 -1.7351069228
## [1935,]  0.001132212 -0.0047405512
## [1936,] -0.313289517 -0.3213095910
## [1937,] -0.344731690 -0.3529664950
## [1938,] -1.075762209 -1.0889895125
## [1939,]  2.453621698  2.4644979594
## [1940,]  0.850070881  0.8499958564
## [1941,]  0.565519216  0.5635008753
## [1942,] -0.324294277 -0.3323895074
## [1943,]  0.857931424  0.8579100823
## [1944,] -0.121492262 -0.1282024767
## [1945,] -1.256554704 -1.1827414337
## [1946,] -2.074051199 -2.0940962140
## [1947,]  2.359295180  3.4635898491
## [1948,] -1.570976433 -1.4052419833
## [1949,]  1.887662586  1.8946736878
## [1950,]  0.787186535  0.7866820484
## [1951,]  0.857931424  0.8579100823
## [1952,] -0.121492262 -0.1282024767
## [1953,] -1.177949271 -0.9183588001
## [1954,] -1.492371000 -1.3078653467
## [1955,]  0.607966149  0.6062376957
## [1956,] -0.603343562 -0.6133445302
## [1957,]  1.258819128  1.2615356081
## [1958,]  0.158343077  0.1535439688
## [1959,]  1.530793924  1.5353678276
## [1960,] -0.160794978 -0.1677736067
## [1961,]  3.302560366  3.3192343669
## [1962,]  1.416029993  1.4198201280
## [1963,] -0.327438494 -0.3355551978
## [1964,] -0.605701725 -0.6157187980
## [1965,] -0.234684084 -0.2421673310
## [1966,] -0.627711246 -0.6378786308
## [1967,]  1.015142288  1.0161946023
## [1968,] -0.272414692 -0.2801556158
## [1969,] -0.470500381 -0.4795941109
## [1970,] -0.784922110 -0.7961631507
## [1971,]  1.461951286  1.4660550363
## [1972,]  0.316261390  0.3125407690
## [1973,]  1.180213696  1.1823933482
## [1974,]  0.394159374  0.3909707486
## [1975,]  0.472764806  0.4701130086
## [1976,]  0.189785250  0.1852008727
## [1977,]  0.394159374  0.3909707486
## [1978,] -0.942132975 -0.9544476706
## [1979,]  0.102533220  0.0973529642
## [1980,] -0.483077250 -0.4922568725
## [1981,]  1.494635425  1.4989623880
## [1982,]  0.551370238  0.5492552685
## [1983,]  1.015142288  1.0161946023
## [1984,] -0.272414692 -0.2801556158
## [1985,]  0.076593427  0.0712360184
## [1986,] -1.157511859 -1.1712974629
## [1987,]  0.450755285  0.4479531758
## [1988,] -0.964142496 -0.9766075034
## [1989,]  1.543370793  1.5480305892
## [1990,] -0.063324242 -0.0696372043
## [1991,] -0.880522037 -0.8924159673
## [1992,] -1.540131661 -1.5565303274
## [1993,]  0.902657915  0.9029420283
## [1994,]  0.477481132  0.4748615442
## [1995,]  0.787186535  0.7866820484
## [1996,] -0.156078652 -0.1630250711
## [1997,]  0.865791967  0.8658243083
## [1998,]  0.276251225  0.2722573587
## [1999,] -0.156078652 -0.1630250711
## [2000,] -0.627711246 -0.6378786308
## [2001,]  1.228084404  1.2305909845
## [2002,]  0.760460688  0.7597736800
## [2003,]  0.001132212 -0.0047405512
## [2004,] -0.156078652 -0.1630250711
## [2005,] -0.784922110 -0.7961631507
## [2006,] -1.177949271 -1.1918744505
## [2007,] -1.649581865 -1.6099830098
## [2008,] -1.791071643 -1.7637880778
## [2009,] -0.784922110 -0.7961631507
## [2010,] -1.177949271 -1.1918744505
## [2011,] -1.219452940 -1.1424105380
## [2012,] -1.768433278 -1.7391748350
## [2013,] -0.156078652 -0.1630250711
## [2014,] -0.784922110 -0.7961631507
## [2015,] -0.391894949 -0.4004518509
## [2016,] -0.470500381 -0.4795941109
## [2017,] -0.360452776 -0.3687949469
## [2018,] -0.800643197 -0.8119916027
## [2019,] -0.313289517 -0.3213095910
## [2020,] -0.470500381 -0.4795941109
## [2021,]  0.700720559  0.6996255624
## [2022,] -0.276816596 -0.2845875824
## [2023,] -0.234684084 -0.2421673310
## [2024,] -0.942132975 -0.9544476706
## [2025,]  1.158235617  1.1602651723
## [2026,] -0.100740428 -0.1073089201
## [2027,]  0.472764806  0.4701130086
## [2028,] -0.156078652 -0.1630250711
## [2029,]  0.472764806  0.4701130086
## [2030,]  0.189785250  0.1852008727
## [2031,] -0.800643197 -0.4509604412
## [2032,] -1.287996876 -1.0546892571
## [2033,] -0.464998001 -0.4740541527
## [2034,] -1.187381923 -1.2013715217
## [2035,]  0.551370238  0.5492552685
## [2036,] -0.423337122 -0.4321087549
## [2037,] -0.156078652 -0.1630250711
## [2038,] -0.942132975 -0.9544476706
## [2039,]  1.015142288  1.0161946023
## [2040,] -0.272414692 -0.2801556158
## [2041,]  0.064016558  0.0585732568
## [2042,] -0.737758851 -0.7486777947
## [2043,] -0.942132975 -0.9544476706
## [2044,] -1.099343839 -1.1127321905
## [2045,] -0.156078652 -0.1630250711
## [2046,] -0.784922110 -0.7961631507
## [2047,]  0.315553941  0.3118284887
## [2048,] -0.784922110 -0.7961631507
## [2049,] -0.549105813 -0.5587363708
## [2050,] -0.706316678 -0.7170208907
## [2051,]  2.297982942  2.3077962847
## [2052,] -0.085333763 -0.0917970371
## [2053,]  1.101608264  1.1032510882
## [2054,]  0.582812411  0.5809121725
## [2055,] -0.492509902 -0.5017539437
## [2056,] -0.835229587 -0.8468141971
## [2057,] -0.784922110 -0.7961631507
## [2058,] -1.649581865 -1.6099830098
## [2059,] -0.124636479 -0.1313681671
## [2060,] -0.344731690 -0.3529664950
## [2061,] -0.792782653 -0.8040773767
## [2062,] -1.519096847 -1.5353518587
## [2063,]  0.944397399  0.9449665683
## [2064,]  0.236948509  0.2326862287
## [2065,]  0.346996114  0.3434853926
## [2066,] -0.391894949 -0.4004518509
## [2067,]  1.573240857  1.5781046479
## [2068,]  0.629975670  0.6283975285
## [2069,]  1.494635425  1.4989623880
## [2070,]  1.494635425  1.4989623880
## [2071,]  1.335852452  1.3390950229
## [2072,] -1.281708442 -1.2963422336
## [2073,]  0.079737645  0.0744017088
## [2074,] -0.171799739 -0.1788535231
## [2075,] -0.124636479 -0.1313681671
## [2076,] -0.344731690 -0.3529664950
## [2077,]  0.346996114  0.3434853926
## [2078,] -0.391894949 -0.4004518509
## [2079,] -0.344731690 -0.3529664950
## [2080,] -1.075762209 -1.0889895125
## [2081,]  0.276251225  0.2722573587
## [2082,] -0.682735048 -0.6932782128
## [2083,]  0.001132212 -0.0047405512
## [2084,] -0.784922110 -0.7961631507
## [2085,] -0.162367087 -0.1693564519
## [2086,] -1.009733646 -1.0225100142
## [2087,] -0.784922110 -0.7961631507
## [2088,] -0.108915393 -0.1155397151
## [2089,] -0.863527542 -0.8753054107
## [2090,] -0.077473220 -0.0838828111
## [2091,] -0.313289517 -0.3213095910
## [2092,]  2.830927773  2.8443808072
## [2093,]  0.598533497  0.5967406245
## [2094,]  1.384587820  1.3881632240
## [2095,]  0.095458731  0.0902301608
## [2096,] -0.077473220 -0.0838828111
## [2097,] -0.690595591 -0.7011924388
## [2098,] -0.156078652  0.3475374764
## [2099,] -0.784922110 -0.4314756168
## [2100,]  2.316848246  2.3267904271
## [2101,]  0.758888579  0.7581908348
## [2102,]  1.873513608  1.8804280810
## [2103,] -0.292852104 -0.3007326034
## [2104,]  1.101608264  1.1032510882
## [2105,]  0.001132212 -0.0047405512
## [2106,] -1.413765568 -1.2104887100
## [2107,] -1.570976433 -1.4052419833
## [2108,]  1.620246906  1.6254317194
## [2109,]  0.192457834  0.1878917096
## [2110,]  1.730451722  1.7363891678
## [2111,]  1.337424560  1.3406778681
## [2112,]  0.857931424  0.8579100823
## [2113,] -0.121492262 -0.1282024767
## [2114,]  0.629975670  0.6283975285
## [2115,] -0.077473220 -0.0838828111
## [2116,]  0.988416441  0.9892862339
## [2117,] -0.602557507 -0.6125531076
## [2118,]  0.394159374  0.3909707486
## [2119,] -0.313289517 -0.3213095910
## [2120,]  0.701050702  0.6999579599
## [2121,]  0.423054730  0.4200634434
## [2122,]  0.787186535  0.7866820484
## [2123,]  0.315553941  0.3118284887
## [2124,]  0.657723388  0.6563347462
## [2125,] -0.246694994 -0.2542602683
## [2126,]  1.384587820  1.3881632240
## [2127,]  0.095458731  0.0902301608
## [2128,]  0.768321231  0.7676879060
## [2129,] -0.931128214 -0.9433677542
## [2130,]  0.076593427  0.0712360184
## [2131,] -1.157511859 -1.1712974629
## [2132,] -0.313289517 -0.3213095910
## [2133,] -0.549105813 -0.5587363708
## [2134,] -0.627711246 -0.6378786308
## [2135,] -1.256554704 -1.2710167104
## [2136,] -1.743908383 -1.7125197218
## [2137,]  2.359295180  2.3695272475
## [2138,]  0.787186535  0.7866820484
## [2139,]  0.079737645  0.0744017088
## [2140,] -0.234684084 -0.2421673310
## [2141,] -0.541245270 -0.5508221448
## [2142,] -1.201530901 -1.2156171285
## [2143,]  0.457043719  0.4542845566
## [2144,] -0.643432332 -0.6537070828
## [2145,]  0.472764806  0.4701130086
## [2146,] -0.156078652 -0.1630250711
## [2147,]  1.117329350  1.1190795402
## [2148,]  0.472764806  0.4701130086
## [2149,]  1.136194654  1.1380736826
## [2150,] -0.218962998 -0.2263388790
## [2151,]  1.966268018  1.9738159477
## [2152,]  0.315553941  0.3118284887
## [2153,]  1.310698713  1.3137694997
## [2154,]  0.087598188  0.0823159348
## [2155,]  1.136194654  1.1380736826
## [2156,] -0.218962998 -0.2263388790
## [2157,]  0.677138930  0.6758828845
## [2158,] -0.627711246 -0.6378786308
## [2159,]  2.453621698  2.4644979594
## [2160,]  0.472764806  0.4701130086
## [2161,]  0.988416441  0.9892862339
## [2162,] -0.547533705 -0.5571535256
## [2163,]  1.384587820  1.3881632240
## [2164,]  0.409880460  0.4067992006
## [2165,] -0.509803097 -0.5191652409
## [2166,] -0.993698138 -1.0063649931
## [2167,]  0.268390682  0.2643431327
## [2168,]  0.001132212 -0.0047405512
## [2169,] -0.942132975 -0.9544476706
## [2170,] -1.256554704 -1.2710167104
## [2171,]  0.988416441  0.9892862339
## [2172,] -0.602557507 -0.6125531076
## [2173,]  2.453621698  2.4644979594
## [2174,]  0.850070881  0.8499958564
## [2175,] -0.234684084 -0.2421673310
## [2176,] -0.627711246 -0.6378786308
## [2177,]  0.236948509  0.2326862287
## [2178,] -0.528668401 -0.5381593832
## [2179,]  0.787186535  0.7866820484
## [2180,]  0.394159374  0.3909707486
## [2181,]  0.551370238  0.5492552685
## [2182,] -1.105632274 -1.1190635713
## [2183,]  0.480845444  0.4782488329
## [2184,] -0.654311324 -0.6646603716
## [2185,]  0.787186535  0.7866820484
## [2186,]  0.001132212 -0.0047405512
## [2187,]  0.920029715  0.9204324677
## [2188,]  0.026285951  0.0205849720
## [2189,]  2.736601254  2.7494100953
## [2190,]  0.142621990  0.1377155168
## [2191,]  0.079737645  0.0744017088
## [2192,] -0.234684084 -0.2421673310
## [2193,]  1.152701795  1.1546935572
## [2194,]  0.099782030  0.0945829851
## [2195,]  1.101608264  1.1032510882
## [2196,]  0.158343077  0.1535439688
## [2197,]  0.284111768  0.2801715847
## [2198,] -0.313289517 -0.3213095910
## [2199,]  1.494635425  1.4989623880
## [2200,]  0.551370238  0.5492552685
## [2201,]  0.221227423  0.2168577767
## [2202,] -0.313289517 -0.3213095910
## [2203,] -1.295857420 -1.3105878404
## [2204,] -1.626000235 -1.6429853322
## [2205,]  1.887662586  1.8946736878
## [2206,]  1.293405518  1.2963582025
## [2207,] -1.728187297 -1.6954249937
## [2208,] -0.706316678 -0.7170208907
## [2209,] -1.130786012 -1.1443890945
## [2210,] -0.541245270 -0.5508221448
## [2211,] -1.201530901 -1.2156171285
## [2212,]  3.459771231  3.4775188868
## [2213,]  1.101608264  1.1032510882
## [2214,]  0.079737645  0.0744017088
## [2215,] -0.313289517 -0.3213095910
## [2216,]  0.444466850  0.4416217950
## [2217,] -0.549105813 -0.5587363708
## [2218,]  1.573240857  1.5781046479
## [2219,] -0.391894949 -0.4004518509
## [2220,]  0.850070881  0.8499958564
## [2221,]  0.001132212 -0.0047405512
## [2222,] -0.627711246 -0.6378786308
## [2223,] -0.863527542 -0.8753054107
## [2224,] -0.108915393 -0.1155397151
## [2225,] -0.863527542 -0.8753054107
## [2226,]  1.573240857  1.5781046479
## [2227,] -0.391894949 -0.4004518509
## [2228,]  2.044873451  2.0529582077
## [2229,]  1.416029993  1.4198201280
## [2230,] -0.621422811 -0.6315472500
## [2231,] -1.287996876 -1.3026736144
## [2232,]  1.038723918  1.0399372802
## [2233,]  0.535649152  0.5334268165
## [2234,]  0.661417843  0.6600544325
## [2235,]  0.221227423  0.2168577767
## [2236,]  1.101608264  1.1032510882
## [2237,]  0.158343077  0.1535439688
## [2238,]  1.180213696  1.1823933482
## [2239,]  0.101747166  0.0965615416
## [2240,]  2.316848246  2.3267904271
## [2241,]  0.758888579  0.7581908348
## [2242,]  0.661417843  0.6600544325
## [2243,]  0.221227423  0.2168577767
## [2244,]  0.284111768  0.2801715847
## [2245,] -0.596269073 -0.6062217268
## [2246,]  0.857931424  0.8579100823
## [2247,] -0.121492262 -0.1282024767
## [2248,]  1.627164184  1.6323962383
## [2249,]  0.988102020  0.9889696648
## [2250,]  0.629975670  0.6283975285
## [2251,]  0.032574385  0.0269163528
## [2252,]  1.821634023  1.8281941894
## [2253,]  0.244809052  0.2406004547
## [2254,]  0.677138930  0.6758828845
## [2255,] -0.250405171 -0.2579957830
## [2256,]  0.472764806  0.4701130086
## [2257,]  0.001132212 -0.0047405512
## [2258,] -0.459794321 -0.4688149351
## [2259,] -1.218682606 -1.2328859696
## [2260,]  0.472764806  0.4701130086
## [2261,] -0.160008924 -0.1669821841
## [2262,]  1.136194654  1.1380736826
## [2263,] -0.218962998 -0.2263388790
## [2264,]  1.636125203  1.6414184559
## [2265,]  0.787186535  0.7866820484
## [2266,]  1.730451722  1.7363891678
## [2267,]  0.661417843  0.6600544325
## [2268,]  1.923663874  1.9309208428
## [2269,]  0.305712541  0.3019198777
## [2270,]  0.708581102  0.7075397884
## [2271,]  0.857931424  0.8579100823
## [2272,] -0.121492262 -0.1282024767
## [2273,] -2.089772285 -2.1099246659
## [2274,]  0.496346435  0.4938556866
## [2275,] -0.593124855 -0.6030560364
## [2276,]  0.857931424  0.8579100823
## [2277,] -0.121492262 -0.1282024767
## [2278,]  0.472764806  0.4701130086
## [2279,]  0.189785250  0.1852008727
## [2280,]  0.001132212 -0.0047405512
## [2281,] -0.784922110 -0.7961631507
## [2282,]  1.581101400  1.5860188739
## [2283,]  0.262102247  0.2580117519
## [2284,]  1.533938141  1.5385335180
## [2285,]  0.350140331  0.3466510830
## [2286,]  1.533938141  1.5385335180
## [2287,]  0.350140331  0.3466510830
## [2288,]  1.153330638  1.1553266953
## [2289,] -0.292694893 -0.3005743189
## [2290,] -1.413765568 -1.6706376378
## [2291,] -1.806792729 -1.8250125301
## [2292,] -1.570976433 -1.5245251975
## [2293,]  1.205367434  1.2077188713
## [2294,] -0.154506544 -0.1614422259
## [2295,]  0.857931424  0.8579100823
## [2296,] -0.121492262 -0.1282024767
## [2297,]  1.101608264  1.1032510882
## [2298,] -0.156078652 -0.1630250711
## [2299,]  0.859503532  0.8594929275
## [2300,] -0.368313319 -0.3767091729
## [2301,] -0.219591841 -0.2269720171
## [2302,] -1.241462461 -1.2558213965
## [2303,] -0.332940875 -0.3410951560
## [2304,] -1.001087049 -1.0138043656
## [2305,] -0.942132975 -0.6262288901
## [2306,] -1.177949271 -0.9183588001
## [2307,] -0.297568430 -0.3054811390
## [2308,] -0.973575147 -0.9861045746
## [2309,]  0.552942347  0.5508381137
## [2310,] -0.261409931 -0.2690756994
## [2311,]  0.472764806  0.4701130086
## [2312,]  0.001132212 -0.0047405512
## [2313,] -0.942132975 -0.9544476706
## [2314,] -1.177949271 -1.1918744505
## [2315,] -0.313289517 -0.3213095910
## [2316,] -1.413765568 -1.2104887100
## [2317,] -1.570976433 -1.4052419833
## [2318,] -0.541245270 -0.5508221448
## [2319,] -1.201530901 -1.2156171285
## [2320,] -0.391894949 -0.4004518509
## [2321,] -1.020738407 -1.0335899306
## [2322,] -1.099343839 -1.1127321905
## [2323,] -1.256554704 -1.2710167104
## [2324,]  1.730451722  1.7363891678
## [2325,]  0.158343077  0.1535439688
## [2326,] -0.706316678 -0.7170208907
## [2327,] -1.099343839 -1.1127321905
## [2328,]  0.001132212 -0.0047405512
## [2329,] -0.863527542 -0.8753054107
## [2330,]  0.861861695  0.8618671953
## [2331,]  0.056942069  0.0514504534
## [2332,]  0.001132212 -0.0047405512
## [2333,] -0.470500381 -0.4795941109
## [2334,]  0.001132212 -0.0047405512
## [2335,] -0.627711246 -0.6378786308
## [2336,]  0.787186535  0.7866820484
## [2337,] -0.140357566 -0.1471966191
## [2338,]  1.258819128  1.2615356081
## [2339,]  0.394159374  0.3909707486
## [2340,]  0.001132212 -0.0047405512
## [2341,] -0.470500381 -0.4795941109
## [2342,]  0.906839724  0.9071523965
## [2343,] -0.346681104 -0.3549292230
## [2344,]  0.394159374  0.3909707486
## [2345,] -0.234684084 -0.2421673310
## [2346,] -0.784922110 -0.7961631507
## [2347,] -1.177949271 -1.1918744505
## [2348,]  0.315553941  0.3118284887
## [2349,] -0.085333763 -0.0917970371
## [2350,]  0.857931424  0.8579100823
## [2351,] -0.121492262 -0.1282024767
## [2352,]  1.657505881  1.6629451506
## [2353,]  0.988416441  0.9892862339
## [2354,]  0.315553941  0.3118284887
## [2355,] -0.784922110 -0.7961631507
## [2356,] -0.684307157 -0.6948610580
## [2357,] -1.071045883 -1.0842409769
## [2358,] -0.313289517 -0.3213095910
## [2359,] -1.270090559 -1.2846450076
## [2360,] -0.775002105 -0.7861753975
## [2361,] -1.091404690 -1.1047388223
## [2362,]  2.360945894  2.3711892349
## [2363,]  0.018268197  0.0125124615
## [2364,]  1.063877656  1.0652628034
## [2365,] -0.077473220 -0.0838828111
## [2366,] -1.335160136 -1.1131120734
## [2367,] -1.649581865 -1.5026186200
## [2368,] -0.329010603 -0.3371380430
## [2369,] -0.627711246 -0.6378786308
## [2370,]  0.551370238  0.5492552685
## [2371,] -1.570976433 -1.5875857502
## [2372,]  0.944397399  0.9449665683
## [2373,] -0.659153419 -0.6695355348
## [2374,] -1.099343839 -1.1127321905
## [2375,] -1.421626111 -1.4372154563
## [2376,]  1.573240857  1.5781046479
## [2377,]  0.369005635  0.3656452254
## [2378,]  1.023002831  1.0241088283
## [2379,]  0.048295472  0.0427448048
## [2380,]  0.331275028  0.9512662922
## [2381,] -0.470500381 -0.0419690702
## [2382,] -0.706316678 -0.7170208907
## [2383,] -1.177949271 -1.1918744505
## [2384,] -1.413765568 -1.4293012303
## [2385,] -1.508092087 -1.5242719423
## [2386,]  0.818628708  0.8183389524
## [2387,] -0.281847344 -0.2896526870
## [2388,]  0.565519216  0.5635008753
## [2389,] -0.324294277 -0.3323895074
## [2390,]  0.857931424  0.8579100823
## [2391,] -0.121492262 -0.1282024767
## [2392,] -1.413765568 -1.2104887100
## [2393,] -1.570976433 -1.4052419833
## [2394,]  2.610832563  2.6227824793
## [2395,]  0.818628708  0.8183389524
## [2396,] -1.319439049 -1.0936430774
## [2397,]  2.830927773  2.8443808072
## [2398,]  0.598533497  0.5967406245
## [2399,] -0.156078652 -0.1630250711
## [2400,] -0.627711246 -0.6378786308
## [2401,]  0.629975670  0.6283975285
## [2402,]  0.315553941  0.3118284887
## [2403,]  0.472764806  0.4701130086
## [2404,]  0.189785250  0.1852008727
## [2405,]  0.001132212 -0.0047405512
## [2406,] -0.391894949 -0.4004518509
## [2407,] -0.156078652 -0.1630250711
## [2408,] -0.706316678 -0.7170208907
## [2409,] -0.942132975 -0.9544476706
## [2410,] -1.209391444 -1.2235313545
## [2411,] -0.077473220 -0.0838828111
## [2412,] -0.549105813 -0.5587363708
## [2413,] -0.077473220 -0.0838828111
## [2414,] -0.313289517 -0.3213095910
## [2415,]  0.857931424  0.8579100823
## [2416,] -0.121492262 -0.1282024767
## [2417,]  0.001132212 -0.0047405512
## [2418,] -0.234684084 -0.2421673310
## [2419,]  1.533938141  1.5385335180
## [2420,]  0.350140331  0.3466510830
## [2421,]  2.823067230  2.8364665812
## [2422,]  1.881374152  1.8883423070
## [2423,]  1.180213696  1.1823933482
## [2424,]  0.101747166  0.0965615416
## [2425,]  0.629975670  0.6283975285
## [2426,]  0.315553941  0.3118284887
## [2427,]  0.565519216  0.5635008753
## [2428,] -0.324294277 -0.3323895074
## [2429,] -1.099343839 -1.1127321905
## [2430,] -1.256554704 -1.2710167104
## [2431,]  0.857931424  0.8579100823
## [2432,] -0.173371847 -0.1804363683
## [2433,]  0.857931424  0.8579100823
## [2434,] -0.121492262 -0.1282024767
## [2435,] -0.541245270 -0.5508221448
## [2436,] -1.201530901 -1.2156171285
## [2437,] -0.061752133 -0.0680543591
## [2438,] -0.832085369 -0.8436485067
## [2439,] -0.044458938 -0.0506430619
## [2440,] -0.931128214 -0.9433677542
## [2441,]  1.683288462  1.6889038119
## [2442,]  0.740023275  0.7391966924
## [2443,] -0.156078652 -0.1630250711
## [2444,] -0.470500381 -0.4795941109
## [2445,] -1.020738407 -1.0335899306
## [2446,] -1.115064926 -1.1285606425
## [2447,] -0.880522037 -0.8924159673
## [2448,] -1.540131661 -1.5565303274
## [2449,]  0.079737645  0.0744017088
## [2450,] -1.023882624 -1.0367556210
## [2451,]  1.581101400  1.5860188739
## [2452,]  0.262102247  0.2580117519
## [2453,] -0.627711246 -0.2367223435
## [2454,] -1.099343839 -0.8209821634
## [2455,]  0.386298830  0.3830565226
## [2456,] -0.580547986 -0.5903932748
## [2457,] -0.234684084 -0.2421673310
## [2458,] -0.942132975 -0.9544476706
## [2459,]  0.787186535  1.5160571161
## [2460,]  0.001132212  0.5422907497
## [2461,] -0.234684084 -0.2421673310
## [2462,] -0.942132975 -0.9544476706
## [2463,] -1.583553302 -1.5382009800
## [2464,] -1.866532858 -1.8458111160
## [2465,]  1.730451722  1.7363891678
## [2466,]  1.180213696  1.1823933482
## [2467,]  1.205367434  1.2077188713
## [2468,] -0.154506544 -0.1614422259
## [2469,]  0.859503532  0.8594929275
## [2470,] -0.368313319 -0.3767091729
## [2471,]  2.988138637  3.0026653271
## [2472,]  0.975839572  0.9766234723
## [2473,]  1.000993310  1.0019489955
## [2474,] -0.118348045 -0.1250367863
## [2475,]  0.057728124  0.0522418760
## [2476,] -0.678018722 -0.6885296772
## [2477,]  2.500784958  2.5119833154
## [2478,] -0.124636479 -0.1313681671
## [2479,] -0.391894949 -0.4004518509
## [2480,] -1.020738407 -1.0335899306
## [2481,]  1.205367434  1.2077188713
## [2482,] -0.154506544 -0.1614422259
## [2483,]  2.407244493  2.4178040261
## [2484,]  0.824131088  0.8238789106
## [2485,] -0.108915393 -0.1155397151
## [2486,] -0.863527542 -0.8753054107
## [2487,]  0.551370238  0.5492552685
## [2488,] -1.105632274 -1.1190635713
## [2489,]  0.911383118  0.9117268191
## [2490,]  0.133189338  0.1282184456
## [2491,]  2.407244493  2.4178040261
## [2492,]  0.824131088  0.8238789106
## [2493,]  3.695587528  3.7149456667
## [2494,]  0.787186535  0.7866820484
## [2495,]  1.436467405  1.4403971156
## [2496,]  0.975037797  0.9758162212
## [2497,] -0.549105813 -0.5587363708
## [2498,] -0.942132975 -0.9544476706
## [2499,]  0.350140331  0.3466510830
## [2500,] -0.294424213 -0.3023154486
## [2501,] -0.706316678 -0.7170208907
## [2502,] -1.256554704 -1.2710167104
## [2503,]  1.620404116  1.6255900039
## [2504,] -0.410760253 -0.4194459933
## [2505,]  1.416029993  1.4198201280
## [2506,] -0.116775936 -0.1234539411
## [2507,]  0.001132212 -1.8262154925
## [2508,]  2.830927773  2.8443808072
## [2509,]  0.850070881  0.8499958564
## [2510,]  0.472764806  0.4701130086
## [2511,]  0.158343077  0.1535439688
## [2512,]  0.686571581  0.6853799556
## [2513,] -0.300115246 -0.3080453482
## [2514,]  1.188074239  1.1903075742
## [2515,] -0.165511304 -0.1725221423
## [2516,] -0.108915393 -0.1155397151
## [2517,] -0.863527542 -0.8753054107
## [2518,]  2.801576505  2.8148290873
## [2519,]  1.082035511  1.0835446655
## [2520,]  1.586289359  1.5912422631
## [2521,] -0.103098591 -0.1096831879
## [2522,]  1.730451722  1.7363891678
## [2523,]  0.158343077  0.1535439688
## [2524,]  0.842210337  0.8420816304
## [2525,]  0.260530139  0.2564289067
## [2526,]  0.472764806  0.4701130086
## [2527,]  0.189785250  0.1852008727
## [2528,] -0.077473220 -0.0838828111
## [2529,] -0.549105813 -0.5587363708
## [2530,]  0.479053240  0.4764443894
## [2531,] -0.174943956 -0.1820192135
## [2532,] -0.024807580 -0.0308574969
## [2533,] -0.983007799 -0.9956016458
## [2534,] -0.981435691 -0.9940188006
## [2535,] -1.374462852 -1.3897301004
## [2536,]  0.119826415  0.1147642614
## [2537,] -0.711819058 -0.7225608489
## [2538,] -0.541245270 -0.5508221448
## [2539,] -1.201530901 -1.2156171285
## [2540,]  2.500784958  2.5119833154
## [2541,] -0.124636479 -0.1313681671
## [2542,] -0.163939195 -0.1709392971
## [2543,] -0.492902929 -0.5021496550
## [2544,] -0.326652440 -0.3347637752
## [2545,] -0.810075848 -0.8214886739
## [2546,]  0.669278386  0.6679686585
## [2547,] -0.156078652 -0.1630250711
## [2548,] -1.492371000 -1.3078653467
## [2549,] -1.492371000 -1.3078653467
## [2550,] -0.816207072 -0.8276617702
## [2551,] -1.306469153 -1.3212720455
## [2552,] -0.077473220 -0.0838828111
## [2553,] -0.313289517 -0.3213095910
## [2554,] -0.863527542 -0.8753054107
## [2555,] -1.099343839 -1.1127321905
## [2556,]  0.857931424  0.8579100823
## [2557,] -0.121492262 -0.1282024767
## [2558,] -0.470500381 -0.4795941109
## [2559,] -0.784922110 -0.7961631507
## [2560,]  0.629975670  0.6283975285
## [2561,]  0.315553941  0.3118284887
## [2562,]  0.079737645  0.0744017088
## [2563,] -0.313289517 -0.3213095910
## [2564,] -0.541245270 -0.5508221448
## [2565,] -1.201530901 -1.2156171285
## [2566,]  0.857931424  0.8579100823
## [2567,] -0.121492262 -0.1282024767
## [2568,]  0.315553941  0.3118284887
## [2569,] -0.470500381 -0.4795941109
## [2570,]  1.243098042  1.2457071561
## [2571,] -0.297568430 -0.3054811390
## [2572,] -1.020738407 -0.7236055268
## [2573,] -1.177949271 -0.9183588001
## [2574,]  0.661417843  0.6600544325
## [2575,]  0.221227423  0.2168577767
## [2576,]  0.496346435  0.4938556866
## [2577,] -0.593124855 -0.6030560364
## [2578,]  1.161348392  1.1633992058
## [2579,]  0.348568223  0.3450682378
## [2580,]  1.711586418  1.7173950255
## [2581,]  0.774609666  0.7740192868
## [2582,]  0.551370238  0.5492552685
## [2583,] -0.030309961 -0.0363974551
## [2584,]  0.686571581  0.6853799556
## [2585,] -0.475216707 -0.4843426465
## [2586,]  0.405950188  0.4028420876
## [2587,] -0.207297952 -0.2145941676
## [2588,]  1.689576897  1.6952351927
## [2589,]  0.684999473  0.6837971104
## [2590,]  1.240834205  1.2434278590
## [2591,] -0.084704920 -0.0911638990
## [2592,]  0.315553941  0.3118284887
## [2593,] -0.156078652 -0.1630250711
## [2594,]  0.079737645  0.0744017088
## [2595,] -0.391894949 -0.4004518509
## [2596,]  0.315553941  0.3118284887
## [2597,] -0.156078652 -0.1630250711
## [2598,]  0.010564864  0.0047565200
## [2599,] -0.462639838 -0.4716798849
## [2600,]  0.409880460  0.4067992006
## [2601,]  0.032574385  0.0269163528
## [2602,]  0.787186535  0.7866820484
## [2603,] -0.541245270 -0.5508221448
## [2604,] -1.201530901 -1.2156171285
## [2605,] -0.627711246 -0.2367223435
## [2606,] -1.099343839 -0.8209821634
## [2607,]  1.180213696  1.1823933482
## [2608,]  0.358912698  0.3554833593
## [2609,] -1.256554704 -1.0157354367
## [2610,] -1.492371000 -1.3078653467
## [2611,] -0.627711246 -0.6378786308
## [2612,] -1.020738407 -1.0335899306
## [2613,] -1.696745124 -1.5610572647
## [2614,] -1.806792729 -1.6973718933
## [2615,]  1.494635425  1.4989623880
## [2616,]  0.708455334  0.7074131608
## [2617,] -0.156078652 -0.1630250711
## [2618,] -0.784922110 -0.7961631507
## [2619,]  1.004137528  1.0051146859
## [2620,]  0.477481132  0.4748615442
## [2621,] -0.077473220 -0.0838828111
## [2622,] -0.942132975 -0.9544476706
## [2623,]  3.546237206  3.5645753728
## [2624,]  1.577957183  1.5828531835
## [2625,]  1.581101400  1.5860188739
## [2626,]  0.262102247  0.2580117519
## [2627,]  1.766122867  1.7723039254
## [2628,]  1.271348834  1.2741508844
## [2629,] -0.044458938 -0.0506430619
## [2630,] -0.931128214 -0.9433677542
## [2631,]  0.551370238  0.5492552685
## [2632,] -0.077473220 -0.0838828111
## [2633,] -0.784922110 -0.4314756168
## [2634,] -1.177949271 -0.9183588001
## [2635,] -1.099343839 -0.8209821634
## [2636,] -1.559185618 -1.3906481506
## [2637,] -0.549105813 -0.5587363708
## [2638,] -0.942132975 -0.9544476706
## [2639,]  0.708581102  0.7075397884
## [2640,] -1.201530901 -1.2156171285
## [2641,]  0.079737645  0.0744017088
## [2642,] -1.023882624 -1.0367556210
## [2643,]  0.551370238  0.5492552685
## [2644,] -0.077473220 -0.0838828111
## [2645,]  0.141049882  0.1361326716
## [2646,] -0.275558909 -0.2833213062
## [2647,] -0.156078652 -0.1630250711
## [2648,] -0.313289517 -0.3213095910
## [2649,] -0.784922110 -0.7961631507
## [2650,]  0.218083205  0.2136920863
## [2651,] -0.376173862 -0.3846233989
## [2652,]  1.180213696  1.1823933482
## [2653,] -0.596787869 -0.6067440657
## [2654,]  0.875224619  0.8753213795
## [2655,] -0.695311917 -0.7059409744
## [2656,] -0.541245270 -0.5508221448
## [2657,] -1.201530901 -1.2156171285
## [2658,] -0.722037764 -0.7328493427
## [2659,] -0.973575147 -0.9861045746
## [2660,]  1.039148387  1.0403646484
## [2661,] -0.768760833 -0.7798915021
## [2662,] -1.649581865 -1.6099830098
## [2663,] -1.791071643 -1.7637880778
## [2664,]  2.507073392  2.5183146962
## [2665,]  0.144194099  0.1392983620
## [2666,] -0.124636479 -0.1313681671
## [2667,] -0.344731690 -0.3529664950
## [2668,]  0.383940667  0.3806822548
## [2669,] -0.363596993 -0.3719606373
## [2670,]  1.205367434  1.2077188713
## [2671,] -0.154506544 -0.1614422259
## [2672,]  0.472764806  0.4701130086
## [2673,]  0.189785250  0.1852008727
## [2674,]  1.761893895  1.7680460718
## [2675,]  0.567091324  0.5650837205
## [2676,]  0.551370238  0.5492552685
## [2677,] -1.105632274 -1.1190635713
## [2678,] -0.329010603 -0.3371380430
## [2679,] -0.863527542 -0.8753054107
## [2680,]  0.394159374  0.3909707486
## [2681,] -0.470500381 -0.4795941109
## [2682,] -1.177949271 -0.9183588001
## [2683,] -1.492371000 -1.3078653467
## [2684,] -1.924700878 -1.9090457817
## [2685,] -0.313289517 -0.3213095910
## [2686,] -0.706316678 -0.7170208907
## [2687,]  1.293405518  1.2963582025
## [2688,] -0.486221468 -0.4954225629
## [2689,]  1.856220413  1.8630167838
## [2690,] -0.195381368 -0.2025962010
## [2691,]  0.053011798  0.0474933404
## [2692,] -0.718201819 -0.7289872004
## [2693,]  1.038723918  1.0399372802
## [2694,]  0.535649152  0.5334268165
## [2695,]  0.629975670  0.6283975285
## [2696,] -0.077473220 -0.0838828111
## [2697,]  0.079737645  0.0744017088
## [2698,] -0.234684084 -0.2421673310
## [2699,]  1.195934782  1.1982218002
## [2700,]  0.158343077  0.1535439688
## [2701,] -1.099343839 -1.1127321905
## [2702,] -1.256554704 -1.2710167104
## [2703,]  0.768321231  0.7676879060
## [2704,] -0.429625556 -0.4384401357
## [2705,]  1.258819128  1.2615356081
## [2706,]  0.724302189  0.7233682404
## [2707,]  0.496346435  0.4938556866
## [2708,] -0.360452776 -0.3687949469
## [2709,]  0.944397399  0.9449665683
## [2710,] -0.470500381 -0.4795941109
## [2711,]  3.695587528  3.7149456667
## [2712,]  1.494635425  1.4989623880
## [2713,]  1.180213696  1.1823933482
## [2714,]  0.394159374  0.3909707486
## [2715,] -0.022449417 -0.6375778902
## [2716,] -0.517663640 -1.0069664743
## [2717,] -0.287349724 -0.2951926452
## [2718,] -0.701285930 -0.7119557861
## [2719,]  0.944397399  0.9449665683
## [2720,]  0.029430168  0.0237506624
## [2721,] -0.038170504 -0.0443116811
## [2722,] -0.588408529 -0.5983075008
## [2723,]  1.416029993  1.4198201280
## [2724,]  0.208650553  0.2041950151
## [2725,] -0.247260954 -0.2548300926
## [2726,] -0.734614633 -0.7455121043
## [2727,] -1.335160136 -1.3501589704
## [2728,] -1.492371000 -1.5084434903
## [2729,]  1.321703474  1.3248494161
## [2730,]  0.409880460  0.4067992006
## [2731,]  0.243236944  0.2390176095
## [2732,] -0.355736450 -0.3640464113
## [2733,]  0.479053240  0.4764443894
## [2734,] -0.174943956 -0.1820192135
## [2735,] -0.784922110 -0.6700420452
## [2736,] -1.879266938 -1.8596610115
## [2737,]  0.565519216  0.5635008753
## [2738,] -0.324294277 -0.3323895074
## [2739,] -0.541245270 -0.5508221448
## [2740,] -1.201530901 -1.2156171285
## [2741,] -0.077473220 -0.0838828111
## [2742,] -0.234684084 -0.2421673310
## [2743,] -0.362024885 -0.3703777921
## [2744,] -1.132358121 -1.1459719397
## [2745,] -1.020738407 -1.0335899306
## [2746,] -1.177949271 -1.1918744505
## [2747,] -0.942132975 -0.6262288901
## [2748,] -1.177949271 -0.9183588001
## [2749,]  2.830927773  2.8443808072
## [2750,]  0.850070881  0.8499958564
## [2751,]  0.299832855  0.2960000367
## [2752,] -0.618278594 -0.6283815596
## [2753,] -0.541245270 -0.5508221448
## [2754,] -1.201530901 -1.2156171285
## [2755,]  0.284111768  0.2801715847
## [2756,] -0.313289517 -0.3213095910
## [2757,]  1.188074239  1.1903075742
## [2758,] -0.165511304 -0.1725221423
## [2759,]  0.001132212 -0.0047405512
## [2760,] -0.156078652 -0.1630250711
## [2761,]  1.195934782  1.1982218002
## [2762,]  0.189785250  0.1852008727
## [2763,]  0.787186535  0.7866820484
## [2764,]  0.001132212 -0.0047405512
## [2765,]  0.708581102  0.7075397884
## [2766,]  0.158343077  0.1535439688
## [2767,]  0.064016558  0.0585732568
## [2768,] -1.067901666 -1.0810752865
## [2769,]  0.158343077  0.1535439688
## [2770,] -0.077473220 -0.0838828111
## [2771,]  1.406597341  1.4103230568
## [2772,] -0.206386129 -0.2136761174
## [2773,]  2.823067230  2.8364665812
## [2774,]  1.881374152  1.8883423070
## [2775,] -0.470500381 -0.4795941109
## [2776,] -0.784922110 -0.7961631507
## [2777,]  0.857931424  0.8579100823
## [2778,] -0.121492262 -0.1282024767
## [2779,]  1.258819128  1.2615356081
## [2780,]  0.472764806  0.4701130086
## [2781,]  0.221227423  0.2168577767
## [2782,] -0.313289517 -0.3213095910
## [2783,]  0.299832855  0.2960000367
## [2784,] -0.926411888 -0.9386192186
## [2785,]  2.725596494  2.7383301789
## [2786,]  0.546653912  0.5445067329
## [2787,] -0.077473220 -0.0838828111
## [2788,] -0.313289517 -0.3213095910
## [2789,]  0.315553941  0.3118284887
## [2790,] -0.470500381 -0.4795941109
## [2791,]  0.944397399  0.9449665683
## [2792,] -0.218962998 -0.2263388790
## [2793,]  0.335205299  0.3316140537
## [2794,] -0.568757171 -0.5785219358
## [2795,] -0.218962998 -0.2263388790
## [2796,] -0.722037764 -0.7328493427
## [2797,]  0.708581102  0.7075397884
## [2798,] -0.124636479 -0.1313681671
## [2799,]  0.565519216  0.5635008753
## [2800,] -0.324294277 -0.3323895074
## [2801,]  0.694432125  0.6932941816
## [2802,]  0.037290711  0.0316648884
## [2803,]  0.629975670  0.6283975285
## [2804,] -0.470500381 -0.4795941109
## [2805,]  1.416029993  1.4198201280
## [2806,]  0.115110089  0.1100157258
## [2807,]  0.975839572  0.9766234723
## [2808,]  0.315553941  0.3118284887
## [2809,]  0.699148451  0.6980427172
## [2810,] -0.278828895 -0.2866136242
## [2811,]  0.857931424  0.8579100823
## [2812,] -0.121492262 -0.1282024767
## [2813,]  0.378438287  0.3751422966
## [2814,] -0.250405171 -0.2579957830
## [2815,] -1.791071643 -1.7637880778
## [2816,]  0.032574385  0.0269163528
## [2817,] -0.082189546 -0.0886313467
## [2818,] -1.012877864 -1.0256757046
## [2819,] -0.541245270 -0.5508221448
## [2820,] -1.201530901 -1.2156171285
## [2821,] -1.583553302 -1.5382009800
## [2822,] -1.791071643 -1.7637880778
## [2823,]  0.787186535  0.7866820484
## [2824,]  0.158343077  0.1535439688
## [2825,] -1.295857420 -1.3105878404
## [2826,] -1.626000235 -1.6429853322
## [2827,]  1.821634023  1.8281941894
## [2828,]  0.428745764  0.4257933430
## [2829,]  1.133050437  1.1349079922
## [2830,] -0.534642414 -0.5441741950
## [2831,]  1.573240857  1.5781046479
## [2832,]  0.629975670  0.6283975285
## [2833,] -1.413765568 -1.3536254014
## [2834,]  2.112631333  2.1211788357
## [2835,]  0.049710369  0.0441693655
## [2836,]  2.736601254  2.7494100953
## [2837,]  0.142621990  0.1377155168
## [2838,]  0.857931424  0.8579100823
## [2839,] -0.121492262 -0.1282024767
## [2840,]  2.500784958  2.5119833154
## [2841,] -0.124636479 -0.1313681671
## [2842,]  1.530793924  1.5353678276
## [2843,] -0.160794978 -0.1677736067
## [2844,] -0.863527542 -0.8753054107
## [2845,] -1.099343839 -1.1127321905
## [2846,] -0.305428973 -0.3133953650
## [2847,] -0.611990159 -0.6220501788
## [2848,]  0.994862087  0.9957758992
## [2849,] -0.746656986 -0.7576366986
## [2850,]  0.787186535  0.7866820484
## [2851,] -0.156078652 -0.1630250711
## [2852,]  1.205367434  1.2077188713
## [2853,] -0.154506544 -0.1614422259
## [2854,]  1.180213696  1.1823933482
## [2855,]  0.101747166  0.0965615416
## [2856,]  1.573240857  1.5781046479
## [2857,]  0.409880460  0.4067992006
## [2858,] -1.099343839 -1.1127321905
## [2859,]  1.312270822  1.3153523449
## [2860,] -0.072756894 -0.0791342755
## [2861,]  1.541798684  1.5464477440
## [2862,] -0.014588874 -0.0205690031
## [2863,]  0.102533220  0.0973529642
## [2864,] -0.483077250 -0.4922568725
## [2865,] -0.541245270 -0.5508221448
## [2866,] -1.201530901 -1.2156171285
## [2867,]  0.551370238  0.5492552685
## [2868,] -0.466570110 -0.4756369979
## [2869,]  1.038723918  1.0399372802
## [2870,]  0.535649152  0.5334268165
## [2871,]  2.359295180  2.3695272475
## [2872,]  0.787186535  0.7866820484
## [2873,]  1.258819128  1.2615356081
## [2874,]  0.724302189  0.7233682404
## [2875,]  0.661417843  0.6600544325
## [2876,]  0.221227423  0.2168577767
## [2877,]  1.180213696  1.1823933482
## [2878,]  0.043579146  0.0379962692
## [2879,]  0.661417843  0.6600544325
## [2880,]  0.221227423  0.2168577767
## [2881,] -0.541245270 -0.5508221448
## [2882,] -1.201530901 -1.2156171285
## [2883,] -1.413765568 -1.3536254014
## [2884,]  0.158343077  0.1535439688
## [2885,] -0.156078652 -0.1630250711
## [2886,] -0.169410133 -0.1764475984
## [2887,] -1.060795735 -1.0739208262
## [2888,]  0.857931424  0.8579100823
## [2889,] -0.121492262 -0.1282024767
## [2890,] -1.020738407 -1.0335899306
## [2891,] -1.335160136 -1.3501589704
## [2892,] -0.171799739 -0.1788535231
## [2893,] -1.009733646 -1.0225100142
## [2894,]  1.543370793  1.5480305892
## [2895,] -0.063324242 -0.0696372043
## [2896,]  0.787186535  0.7866820484
## [2897,] -0.077473220 -0.0838828111
## [2898,]  1.258819128  1.2615356081
## [2899,]  0.535649152  0.5334268165
## [2900,]  1.879802043  1.8867594618
## [2901,]  0.262102247  0.2580117519
## [2902,]  2.288550291  2.2982992135
## [2903,]  0.240092726  0.2358519191
## [2904,]  1.205367434  1.2077188713
## [2905,] -0.154506544 -0.1614422259
## [2906,]  1.337424560  1.3406778681
## [2907,] -0.234684084 -0.2421673310
## [2908,] -0.627711246 -0.6378786308
## [2909,] -1.177949271 -1.1918744505
## [2910,]  0.472764806  0.4701130086
## [2911,] -0.093194306 -0.0997112631
## [2912,] -1.728187297 -1.5999952566
## [2913,] -1.806792729 -1.6973718933
## [2914,] -1.335160136 -1.3501589704
## [2915,] -1.492371000 -1.5084434903
## [2916,]  0.168829041  0.1641015462
## [2917,] -0.313289517 -0.3213095910
## [2918,] -0.149790218 -1.9426495853
## [2919,]  0.299832855  0.2960000367
## [2920,] -0.618278594 -0.6283815596
## [2921,]  1.188074239  1.1903075742
## [2922,] -0.165511304 -0.1725221423
## [2923,]  2.425323743  2.4360067458
## [2924,]  0.375294070  0.3719766062
## [2925,]  0.657723388  0.6563347462
## [2926,] -0.245280097 -0.2528357077
## [2927,]  0.362717201  0.3593138446
## [2928,]  0.158343077  0.1535439688
## [2929,]  1.705046446  1.7108103894
## [2930,]  0.049867580  0.0443276500
## [2931,] -0.234684084 -0.2421673310
## [2932,] -1.256554704 -1.2710167104
## [2933,]  0.284111768  0.2801715847
## [2934,] -0.313289517 -0.3213095910
## [2935,] -0.058607916 -0.0648886687
## [2936,] -0.518292484 -0.5277126049
## [2937,]  1.206939543  1.2093017165
## [2938,] -0.261409931 -0.2690756994
## [2939,]  3.459771231  3.4775188868
## [2940,]  1.494635425  1.4989623880
## [2941,]  0.920029715  0.9204324677
## [2942,]  0.026285951  0.0205849720
## [2943,] -0.602557507 -0.6125531076
## [2944,] -1.225112531 -1.2393598064
## [2945,]  3.289511865  3.3060967518
## [2946,]  2.288393080  2.2981409290
## [2947,] -0.942132975 -0.9544476706
## [2948,] -0.942132975 -0.9544476706
## [2949,] -1.036459493 -1.0494183826
## [2950,] -0.627711246 -0.6378786308
## [2951,] -0.942132975 -0.9544476706
## [2952,] -0.627711246 -0.6378786308
## [2953,] -1.256554704 -1.2710167104
## [2954,] -1.649581865 -1.6099830098
## [2955,] -1.791071643 -1.7637880778
## [2956,] -0.942132975 -0.9544476706
## [2957,] -1.177949271 -1.1918744505
## [2958,]  1.620404116  1.6255900039
## [2959,]  0.189785250  0.1852008727
## [2960,] -0.549105813 -0.5587363708
## [2961,] -1.020738407 -1.0335899306
## [2962,]  0.221227423  0.2168577767
## [2963,] -0.313289517 -0.3213095910
## [2964,]  3.289511865  3.3060967518
## [2965,]  2.288393080  2.2981409290
## [2966,] -0.063324242 -0.0696372043
## [2967,] -0.343159581 -0.3513836498
## [2968,] -0.360452776 -0.3687949469
## [2969,] -0.863527542 -0.8753054107
## [2970,] -0.869815977 -0.8816367915
## [2971,] -1.005017320 -1.0177614786
## [2972,] -1.225112531 -1.2393598064
## [2973,] -1.413765568 -1.4293012303
## [2974,] -0.218962998 -0.2263388790
## [2975,] -0.722037764 -0.7328493427
## [2976,]  2.725596494  2.7383301789
## [2977,]  0.546653912  0.5445067329
## [2978,]  0.001132212 -0.0047405512
## [2979,] -0.760240004 -0.7713124811
## [2980,]  1.533938141  1.5385335180
## [2981,]  0.350140331  0.3466510830
## [2982,]  0.768321231  0.7676879060
## [2983,] -0.429625556 -0.4384401357
## [2984,]  0.372935907  0.3696023384
## [2985,] -0.566399008 -0.5761476680
## [2986,]  0.551370238  0.5492552685
## [2987,] -0.376173862 -0.3846233989
## [2988,] -0.163939195 -0.1709392971
## [2989,] -0.627711246 -0.6378786308
## [2990,]  0.158343077  0.1535439688
## [2991,] -0.313289517 -0.3213095910
## [2992,]  2.044873451  2.0529582077
## [2993,]  0.787186535  0.7866820484
## [2994,] -0.784922110 -0.4314756168
## [2995,] -1.413765568 -1.2104887100
## [2996,]  1.543370793  1.5480305892
## [2997,] -0.063324242 -0.0696372043
## [2998,]  1.101608264  1.1032510882
## [2999,]  0.394159374  0.3909707486
## [3000,]  0.394159374  0.3909707486
## [3001,]  0.001132212 -0.0047405512
## [3002,] -0.077473220 -0.0838828111
## [3003,] -0.313289517 -0.3213095910
## [3004,] -0.541245270 -0.5508221448
## [3005,] -1.201530901 -1.2156171285
## [3006,]  0.001132212 -0.0047405512
## [3007,] -0.234684084 -0.2421673310
## [3008,]  0.001132212 -0.0047405512
## [3009,] -1.020738407 -1.0335899306
## [3010,]  0.944397399  0.9449665683
## [3011,]  0.315553941  0.3118284887
## [3012,]  0.158343077  0.1535439688
## [3013,] -0.659153419 -0.6695355348
## [3014,] -0.549105813 -0.5587363708
## [3015,] -0.627711246 -0.6378786308
## [3016,]  1.101608264  1.1032510882
## [3017,]  0.551370238  0.5492552685
## [3018,]  0.512067522  0.5096841386
## [3019,] -0.234684084 -0.2421673310
## [3020,]  0.920815770  0.9212238903
## [3021,]  0.236948509  0.2326862287
## [3022,] -1.806792729 -1.8250125301
## [3023,] -0.061752133 -0.0680543591
## [3024,] -0.879248629 -0.8911338626
## [3025,]  1.180213696  1.1823933482
## [3026,]  0.101747166  0.0965615416
## [3027,]  2.359295180  2.3695272475
## [3028,] -0.926411888 -0.9386192186
## [3029,] -1.005017320 -1.0177614786
## [3030,]  0.873652510  0.8737385343
## [3031,] -0.273986801 -0.2817384610
## [3032,] -0.541245270 -0.5508221448
## [3033,] -1.201530901 -1.2156171285
## [3034,]  0.472764806  0.4701130086
## [3035,]  0.857931424  0.8579100823
## [3036,] -0.121492262 -0.1282024767
## [3037,] -0.820294555 -0.8317771677
## [3038,] -1.177949271 -1.1918744505
## [3039,]  1.620246906  1.6254317194
## [3040,]  0.192457834  0.1878917096
## [3041,]  1.038723918  1.0399372802
## [3042,]  0.535649152  0.5334268165
## [3043,]  0.315553941  0.3118284887
## [3044,] -0.470500381 -0.4795941109
## [3045,] -0.262982040 -0.2706585446
## [3046,] -1.036459493 -1.0494183826
## [3047,] -1.177949271 -1.1918744505
## [3048,] -1.295857420 -1.3105878404
## [3049,] -1.256554704 -1.0157354367
## [3050,] -1.570976433 -1.4052419833
## [3051,]  2.359295180  2.3695272475
## [3052,]  0.158343077  0.1535439688
## [3053,] -0.124636479 -0.1313681671
## [3054,] -0.344731690 -0.3529664950
## [3055,]  0.158343077  0.1535439688
## [3056,] -0.156078652 -0.1630250711
## [3057,]  1.809057154  1.8155314278
## [3058,]  0.048295472  0.0427448048
## [3059,] -0.108915393 -0.1155397151
## [3060,] -0.371819122 -0.3802389177
## [3061,]  1.258819128  1.2615356081
## [3062,]  0.048295472  0.0427448048
## [3063,]  1.172353153  1.1744791222
## [3064,] -0.362024885 -0.3703777921
## [3065,] -0.541245270 -0.5508221448
## [3066,] -1.201530901 -1.2156171285
## [3067,] -0.077473220 -0.0838828111
## [3068,] -0.549105813 -0.5587363708
## [3069,]  1.222660629  1.2251301685
## [3070,]  0.077159386  0.0718058427
## [3071,] -0.156078652 -0.1630250711
## [3072,] -0.376173862 -0.3846233989
## [3073,]  0.236948509  0.2326862287
## [3074,] -0.360452776 -0.3687949469
## [3075,]  0.928676313  0.9291381163
## [3076,] -0.588408529 -0.5983075008
## [3077,] -0.156078652 -0.1630250711
## [3078,] -0.627711246 -0.6378786308
## [3079,]  0.565519216  0.5635008753
## [3080,] -0.324294277 -0.3323895074
## [3081,]  3.459771231  3.4775188868
## [3082,]  2.359295180  2.3695272475
## [3083,] -0.218962998 -0.2263388790
## [3084,] -0.722037764 -0.7328493427
## [3085,]  1.007281745  1.0082803763
## [3086,]  0.064016558  0.0585732568
## [3087,]  0.865791967  0.8658243083
## [3088,]  0.119040361  0.1139728388
## [3089,]  1.651846289  1.6572469079
## [3090,]  0.441322633  0.4384561046
## [3091,]  0.079737645  0.0744017088
## [3092,] -0.638983265 -0.6492276309
## [3093,]  0.614254584  0.6125690765
## [3094,] -0.203241912 -0.2105104270
## [3095,] -0.470500381 -0.4795941109
## [3096,] -0.627711246 -0.6378786308
## [3097,]  0.857931424  0.8579100823
## [3098,] -0.121492262 -0.1282024767
## [3099,] -0.784922110 -0.7961631507
## [3100,] -1.177949271 -1.1918744505
## [3101,]  0.496346435  0.4938556866
## [3102,] -0.593124855 -0.6030560364
## [3103,] -1.728187297 -1.5999952566
## [3104,] -1.806792729 -1.6973718933
## [3105,]  0.323414485  0.3197427147
## [3106,] -0.492902929 -0.5021496550
## [3107,] -0.313289517 -0.3213095910
## [3108,] -0.784922110 -0.7961631507
## [3109,] -0.894969715 -0.8323786489
## [3110,] -1.993873658 -1.9842467571
## [3111,]  0.350140331  0.3466510830
## [3112,] -0.294424213 -0.3023154486
## [3113,]  0.071877101  0.0664874828
## [3114,] -0.292459077 -0.3003368921
## [3115,] -0.621422811 -0.6315472500
## [3116,] -1.287996876 -1.3026736144
## [3117,] -0.541245270 -0.5508221448
## [3118,] -1.201530901 -1.2156171285
## [3119,] -0.156078652 -0.1630250711
## [3120,] -0.784922110 -0.7961631507
## [3121,]  0.661417843  0.6600544325
## [3122,] -0.183747764 -0.1908831466
## [3123,]  1.180213696  1.1823933482
## [3124,]  0.629975670  0.6283975285
## [3125,]  0.905094683  0.9053954383
## [3126,]  0.361145092  0.3577309994
## [3127,] -0.234684084 -0.2421673310
## [3128,] -1.256554704 -1.2710167104
## [3129,]  1.636125203  1.6414184559
## [3130,]  0.551370238  0.5492552685
## [3131,]  0.189785250  0.1852008727
## [3132,] -0.611990159 -0.6220501788
## [3133,]  1.180213696  1.1823933482
## [3134,]  0.101747166  0.0965615416
## [3135,] -0.044458938 -0.0506430619
## [3136,] -0.931128214 -0.9433677542
## [3137,] -0.942132975 -0.9544476706
## [3138,] -1.256554704 -1.2710167104
## [3139,]  0.290400203  0.2865029655
## [3140,] -0.703172461 -0.7138552003
## [3141,]  1.368866733  1.3723347721
## [3142,]  0.317314703  0.3136012753
## [3143,] -1.979724680 -1.9688615018
## [3144,] -0.391894949 -0.2428004691
## [3145,]  0.079737645  0.0744017088
## [3146,] -0.313289517 -0.3213095910
## [3147,] -0.706316678 -0.7170208907
## [3148,] -1.256554704 -1.2710167104
## [3149,] -0.156078652 -0.1630250711
## [3150,] -0.470500381 -0.4795941109
## [3151,] -0.549105813 -0.5587363708
## [3152,] -1.020738407 -1.0335899306
## [3153,]  1.730451722  1.7363891678
## [3154,]  1.321703474  1.3248494161
## [3155,]  0.857931424  0.8579100823
## [3156,] -0.121492262 -0.1282024767
## [3157,]  2.830927773  2.8443808072
## [3158,]  0.850070881  0.8499958564
## [3159,]  0.472764806  0.4701130086
## [3160,]  0.236948509  0.2326862287
## [3161,]  0.565519216  0.5635008753
## [3162,]  0.273264219  0.2692499528
## [3163,] -0.869815977 -0.8816367915
## [3164,] -1.005017320 -1.0177614786
## [3165,]  2.316848246  2.3267904271
## [3166,]  0.758888579  0.7581908348
## [3167,]  0.268390682  0.2643431327
## [3168,]  0.001132212 -0.0047405512
## [3169,] -0.454779295 -0.4637656589
## [3170,] -0.760240004 -0.7713124811
## [3171,]  0.394159374  0.3909707486
## [3172,] -0.391894949 -0.4004518509
## [3173,]  2.752322341  2.7652385473
## [3174,]  0.331275028  0.3276569407
## [3175,]  0.472764806  0.4701130086
## [3176,] -0.203241912 -0.2105104270
## [3177,]  1.809057154  1.8155314278
## [3178,]  0.346996114  0.3434853926
## [3179,]  0.092471725  0.0872227549
## [3180,] -0.679276409 -0.6897959533
## [3181,]  0.170919946  0.1662067303
## [3182,] -0.278703126 -0.2864869966
## [3183,] -0.266126257 -0.2738242350
## [3184,] -0.580547986 -0.5903932748
## [3185,] -0.706316678 -0.7170208907
## [3186,] -1.177949271 -1.1918744505
## [3187,]  0.919243661  0.9196410451
## [3188,] -0.171799739 -0.1788535231
## [3189,]  0.119826415  0.1147642614
## [3190,] -0.711819058 -0.7225608489
## [3191,]  1.423890536  1.4277343540
## [3192,] -0.412332361 -0.4210288385
## [3193,]  0.875224619  0.8753213795
## [3194,] -0.695311917 -0.7059409744
## [3195,] -1.130786012 -1.1443890945
## [3196,] -0.454779295 -0.4637656589
## [3197,] -1.130786012 -1.1443890945
## [3198,] -1.011305755 -1.0240928594
## [3199,] -1.588033811 -1.6047596207
## [3200,] -1.130786012 -1.1443890945
## [3201,] -1.287996876 -1.3026736144
## [3202,] -1.578836976 -1.5330725616
## [3203,] -1.699606362 -1.6643537424
## [3204,]  1.974128562  1.9817301737
## [3205,]  0.881513053  0.8816527603
## [3206,]  0.831205577  0.8310017140
## [3207,] -0.717321438 -0.7281008071
## [3208,] -1.536390042 -1.4869326240
## [3209,] -1.661026816 -1.6224241731
## [3210,]  0.064016558  0.0585732568
## [3211,] -0.753479937 -0.7645062467
## [3212,] -0.156078652 -0.1630250711
## [3213,] -0.784922110 -0.7961631507
## [3214,] -0.926411888 -0.9386192186
## [3215,] -1.005017320 -1.0177614786
## [3216,]  1.227376955  1.2298787041
## [3217,] -0.218962998 -0.2263388790
## [3218,]  0.472764806  0.4701130086
## [3219,] -0.156078652 -0.1630250711
## [3220,]  0.394159374  0.3909707486
## [3221,]  0.079737645  0.0744017088
## [3222,] -2.110807099 -2.1185511723
## [3223,]  0.906839724  0.9071523965
## [3224,] -0.346681104 -0.3549292230
## [3225,] -0.611990159 -0.6220501788
## [3226,] -0.722037764 -0.7328493427
## [3227,] -0.344731690 -0.3529664950
## [3228,] -1.075762209 -1.0889895125
## [3229,] -1.570976433 -1.4052419833
## [3230,] -1.806792729 -1.6973718933
## [3231,] -0.820294555 -0.8317771677
## [3232,] -1.177949271 -1.1918744505
## [3233,]  1.384587820  1.3881632240
## [3234,]  0.409880460  0.4067992006
## [3235,]  0.661417843  0.6600544325
## [3236,] -0.910690802 -0.9227907666
## [3237,]  0.708581102  0.7075397884
## [3238,] -0.391894949 -0.4004518509
## [3239,]  0.857931424  0.8579100823
## [3240,] -0.121492262 -0.1282024767
## [3241,] -0.272414692 -0.2801556158
## [3242,] -1.075762209 -1.0889895125
## [3243,]  0.824917142  0.8246703332
## [3244,] -0.042886830 -0.0490602167
## [3245,]  0.394159374  0.3909707486
## [3246,] -0.234684084 -0.2421673310
## [3247,]  1.384587820  1.3881632240
## [3248,]  0.409880460  0.4067992006
## [3249,]  1.400308906  1.4039916760
## [3250,] -0.218962998 -0.2263388790
## [3251,] -1.508092087 -1.5242719423
## [3252,] -1.791071643 -1.8091840781
## [3253,]  0.409880460  0.4067992006
## [3254,] -0.490623372 -0.4998545294
## [3255,]  0.857931424  0.8579100823
## [3256,] -0.173371847 -0.1804363683
## [3257,] -0.156078652 -0.1630250711
## [3258,] -0.863527542 -0.8753054107
## [3259,]  1.416029993  1.4198201280
## [3260,]  0.111179817  0.1060586128
## [3261,]  0.236948509  0.2326862287
## [3262,] -0.218962998 -0.2263388790
## [3263,]  1.258819128  1.2615356081
## [3264,]  0.724302189  0.7233682404
## [3265,]  1.923821085  1.9310791273
## [3266,]  1.145627306  1.1475707538
## [3267,]  0.276251225  0.2722573587
## [3268,] -0.682735048 -0.6932782128
## [3269,]  0.358786929  0.3553567316
## [3270,] -1.060041123 -1.0731610605
## [3271,]  0.246381161  0.2421832999
## [3272,] -1.322583267 -1.3374962088
## [3273,]  0.661417843  0.6600544325
## [3274,]  0.221227423  0.2168577767
## [3275,] -0.077473220 -0.0838828111
## [3276,] -0.313289517 -0.3213095910
## [3277,]  1.205367434  1.2077188713
## [3278,] -0.154506544 -0.1614422259
## [3279,]  0.565519216  0.5635008753
## [3280,] -0.324294277 -0.3323895074
## [3281,]  2.856710355  2.8703394685
## [3282,]  1.851818509  1.8585848172
## [3283,]  2.060594537  2.0687866597
## [3284,]  0.488485892  0.4859414606
## [3285,]  0.906839724  0.9071523965
## [3286,] -0.346681104 -0.3549292230
## [3287,]  1.180213696  1.1823933482
## [3288,]  0.284111768  0.2801715847
## [3289,]  2.054306102  2.0624552789
## [3290,]  0.136333556  0.1313841360
## [3291,]  0.787186535  0.7866820484
## [3292,] -0.156078652 -0.1630250711
## [3293,]  2.104299157  2.1127897562
## [3294,]  1.078655477  1.0801415483
## [3295,]  0.449183176  0.4463703306
## [3296,] -0.784922110 -0.7961631507
## [3297,]  2.725596494  2.7383301789
## [3298,]  0.546653912  0.5445067329
## [3299,]  1.543370793  1.5480305892
## [3300,] -0.063324242 -0.0696372043
## [3301,] -0.784922110 -0.4314756168
## [3302,] -1.020738407 -0.7236055268
## [3303,]  0.551370238  0.5492552685
## [3304,] -0.192237151 -0.1994305106
## [3305,]  0.873652510  0.8737385343
## [3306,] -0.273986801 -0.2817384610
## [3307,] -1.333588027 -1.3485761252
## [3308,] -1.655241456 -1.6724262529
## [3309,]  0.496346435  0.4938556866
## [3310,] -0.593124855 -0.6030560364
## [3311,]  0.661417843  0.6600544325
## [3312,]  0.221227423  0.2168577767
## [3313,]  0.174064163  0.1693724207
## [3314,] -0.423337122 -0.4321087549
## [3315,]  1.530793924  1.5353678276
## [3316,] -0.160794978 -0.1677736067
## [3317,] -0.077473220 -0.0838828111
## [3318,] -0.690595591 -0.7011924388
## [3319,]  0.787186535  0.7866820484
## [3320,]  0.158343077  0.1535439688
## [3321,]  0.859503532  0.8594929275
## [3322,] -0.368313319 -0.3767091729
## [3323,]  2.024436038  2.0323812201
## [3324,]  0.147338316  0.1424640524
## [3325,]  0.472764806  0.4701130086
## [3326,] -0.156078652 -0.1630250711
## [3327,]  1.384587820  1.3881632240
## [3328,]  0.409880460  0.4067992006
## [3329,] -0.391894949 -0.4004518509
## [3330,] -1.335160136 -1.3501589704
## [3331,]  1.258819128  1.2615356081
## [3332,]  0.394159374  0.3909707486
## [3333,] -0.313289517 -0.3213095910
## [3334,] -0.784922110 -0.7961631507
## [3335,]  1.620246906  1.6254317194
## [3336,]  0.192457834  0.1878917096
## [3337,]  0.519928065  0.5175983645
## [3338,] -0.439058208 -0.4479372069
## [3339,]  1.620404116  1.6255900039
## [3340,]  0.347624958  0.3441185307
## [3341,]  2.520750737  2.5320854494
## [3342,]  1.401566593  1.4052579522
## [3343,] -1.020738407 -1.0335899306
## [3344,] -1.256554704 -1.2710167104
## [3345,] -0.234684084 -0.2421673310
## [3346,] -0.391894949 -0.4004518509
## [3347,]  1.620404116  1.6255900039
## [3348,]  0.347624958  0.3441185307
## [3349,] -0.234684084 -0.2421673310
## [3350,] -0.659153419 -0.6695355348
## [3351,]  1.188074239  1.1903075742
## [3352,] -0.165511304 -0.1725221423
## [3353,] -0.470500381 -0.3282424529
## [3354,] -1.570976433 -1.5875857502
## [3355,]  1.225018792  1.2275044363
## [3356,]  0.480625349  0.4780272346
## [3357,] -0.942132975 -0.9544476706
## [3358,] -1.256554704 -1.2710167104
## [3359,]  0.771465448  0.7708535964
## [3360,]  0.142621990  0.1377155168
## [3361,]  3.145349502  3.1609498470
## [3362,] -1.099343839 -1.1127321905
## [3363,]  1.416029993  1.4198201280
## [3364,]  0.158343077  0.1535439688
## [3365,] -0.077473220 -0.0838828111
## [3366,] -0.549105813 -0.5587363708
## [3367,] -0.667013962 -0.6774497608
## [3368,] -0.836015641 -0.8476056197
## [3369,]  0.378438287  0.3751422966
## [3370,] -0.722037764 -0.7328493427
## [3371,]  1.970984344  1.9785644833
## [3372,]  0.527788608  0.5255125905
## [3373,]  1.573240857  1.5781046479
## [3374,]  1.180213696  1.1823933482
## [3375,]  0.383940667  0.3806822548
## [3376,] -0.363596993 -0.3719606373
## [3377,]  2.108543851  2.1170634382
## [3378,]  0.689715799  0.6885456460
## [3379,]  2.359295180  2.3695272475
## [3380,]  0.787186535  0.7866820484
## [3381,]  1.305809456  1.3088468511
## [3382,] -0.156078652 -0.1630250711
## [3383,] -1.020738407 -1.0335899306
## [3384,]  0.857931424  0.8579100823
## [3385,] -0.121492262 -0.1282024767
## [3386,] -0.044458938 -0.0506430619
## [3387,] -0.931128214 -0.9433677542
## [3388,] -0.156078652 -0.1630250711
## [3389,] -0.863527542 -0.8753054107
## [3390,]  0.857931424  0.8579100823
## [3391,] -0.173371847 -0.1804363683
## [3392,]  0.290400203  0.2865029655
## [3393,] -0.703172461 -0.7138552003
## [3394,]  0.873652510  0.8737385343
## [3395,] -0.273986801 -0.2817384610
## [3396,] -0.044458938 -0.0506430619
## [3397,] -0.931128214 -0.9433677542
## [3398,]  1.533938141  1.5385335180
## [3399,]  0.350140331  0.3466510830
## [3400,]  0.661417843  0.6600544325
## [3401,] -0.183747764 -0.1908831466
## [3402,]  0.290400203  0.2865029655
## [3403,] -0.703172461 -0.7138552003
## [3404,]  0.009778810  0.0039650974
## [3405,] -0.522222756 -0.5316697179
## [3406,]  0.472764806  0.4701130086
## [3407,]  0.189785250  0.1852008727
## [3408,]  1.205367434  1.2077188713
## [3409,] -0.154506544 -0.1614422259
## [3410,] -0.044458938 -0.0506430619
## [3411,] -0.931128214 -0.9433677542
## [3412,]  0.394159374  0.3909707486
## [3413,] -0.470500381 -0.4795941109
## [3414,] -0.044458938 -0.0506430619
## [3415,] -0.931128214 -0.9433677542
## [3416,]  0.290400203  0.2865029655
## [3417,] -0.703172461 -0.7138552003
## [3418,] -0.391894949 -0.4004518509
## [3419,] -0.784922110 -0.7961631507
## [3420,]  0.768321231  0.7676879060
## [3421,] -0.703172461 -0.7138552003
## [3422,] -0.541245270 -0.5508221448
## [3423,] -1.201530901 -1.2156171285
## [3424,]  0.010564864  0.0047565200
## [3425,] -0.462639838 -0.4716798849
## [3426,]  0.519928065  0.5175983645
## [3427,] -0.156078652 -0.1630250711
## [3428,]  0.276251225  0.2722573587
## [3429,] -0.682735048 -0.6932782128
## [3430,]  0.394159374  0.3909707486
## [3431,] -0.391894949 -0.4004518509
## [3432,]  1.400308906  1.4039916760
## [3433,] -0.014588874 -0.0205690031
## [3434,] -0.344731690 -0.3529664950
## [3435,] -1.075762209 -1.0889895125
## [3436,]  0.551370238  0.5492552685
## [3437,] -0.439058208 -0.4479372069
## [3438,]  0.831205577  0.8310017140
## [3439,] -0.717321438 -0.7281008071
## [3440,]  0.496346435  0.4938556866
## [3441,] -0.360452776 -0.3687949469
## [3442,]  0.567091324  0.5650837205
## [3443,] -0.187520825 -0.1946819750
## [3444,]  0.551370238  0.5492552685
## [3445,] -0.439058208 -0.4479372069
## [3446,]  0.724302189  0.7233682404
## [3447,] -0.115203827 -0.1218710959
## [3448,]  0.865791967  0.8658243083
## [3449,]  0.001132212 -0.0047405512
## [3450,] -0.156078652 -0.1630250711
## [3451,] -0.596269073 -0.6062217268
## [3452,] -0.171799739 -0.1788535231
## [3453,] -1.009733646 -1.0225100142
## [3454,] -1.791071643 -1.8091840781
## [3455,] -0.313289517 -0.3213095910
## [3456,] -0.922167195 -0.9343455366
## [3457,]  1.205367434  1.2077188713
## [3458,] -0.154506544 -0.1614422259
## [3459,]  1.180213696  1.1823933482
## [3460,]  0.101747166  0.0965615416
## [3461,]  1.136194654  1.1380736826
## [3462,] -0.218962998 -0.2263388790
## [3463,]  0.472764806  0.4701130086
## [3464,]  0.236948509  0.2326862287
## [3465,]  1.526077598  1.5306192920
## [3466,] -0.495025276 -0.5042864960
## [3467,] -0.077473220 -0.0838828111
## [3468,] -0.313289517 -0.3213095910
## [3469,]  0.857931424  0.8579100823
## [3470,] -0.173371847 -0.1804363683
## [3471,]  2.316848246  2.3267904271
## [3472,]  0.758888579  0.7581908348
## [3473,]  0.350140331  0.3466510830
## [3474,] -0.294424213 -0.3023154486
## [3475,] -0.942132975 -0.6262288901
## [3476,] -1.256554704 -1.0157354367
## [3477,]  0.857931424  0.8579100823
## [3478,] -0.173371847 -0.1804363683
## [3479,] -0.981435691 -0.9940188006
## [3480,] -1.374462852 -1.3897301004
## [3481,]  1.478914338  1.4831339360
## [3482,]  0.111179817  0.1060586128
## [3483,]  0.119826415  0.1147642614
## [3484,] -0.711819058 -0.7225608489
## [3485,] -0.218962998 -0.2263388790
## [3486,] -0.932700323 -0.9449505994
## [3487,] -1.728187297 -1.5999952566
## [3488,] -1.806792729 -1.6973718933
## [3489,]  0.158343077  0.1535439688
## [3490,] -1.020738407 -0.9263838252
## [3491,] -0.464998001 -0.4740541527
## [3492,] -1.187381923 -1.2013715217
## [3493,]  2.060594537  2.0687866597
## [3494,]  0.488485892  0.4859414606
## [3495,]  2.054306102  2.0624552789
## [3496,]  0.136333556  0.1313841360
## [3497,]  2.599827802  2.6117025629
## [3498,]  0.947541616  0.9481322587
## [3499,]  0.425601546  0.4226276526
## [3500,] -0.627711246 -0.6378786308
## [3501,]  0.551370238  0.5492552685
## [3502,] -1.105632274 -1.1190635713
## [3503,] -1.335160136 -1.3501589704
## [3504,] -1.492371000 -1.5084434903
## [3505,]  1.573240857  1.5781046479
## [3506,]  0.158343077  0.1535439688
## [3507,]  0.523072282  0.5207640549
## [3508,] -0.435913991 -0.4447715165
## [3509,] -0.784922110 -0.7961631507
## [3510,] -1.177949271 -1.1918744505
## [3511,]  0.551370238  0.5492552685
## [3512,] -0.077473220 -0.0838828111
## [3513,]  0.001132212 -0.0047405512
## [3514,] -0.297568430 -0.3054811390
## [3515,] -0.769201024 -0.7803346987
## [3516,]  0.315553941  0.3118284887
## [3517,] -0.313289517 -0.3213095910
## [3518,]  0.332061082  0.3284483633
## [3519,] -0.401327601 -0.4099489221
## [3520,] -0.234684084 -0.2421673310
## [3521,] -0.627711246 -0.6378786308
## [3522,]  0.582812411  0.5809121725
## [3523,] -0.344731690 -0.3529664950
## [3524,]  0.425601546  0.4226276526
## [3525,] -0.627711246 -0.6378786308
## [3526,] -0.187520825 -0.1946819750
## [3527,] -0.910690802 -0.9227907666
## [3528,]  0.787186535  0.7866820484
## [3529,]  0.158343077  0.1535439688
## [3530,] -0.187520825 -0.1946819750
## [3531,] -0.910690802 -0.9227907666
## [3532,] -0.156078652 -0.1630250711
## [3533,] -0.470500381 -0.4795941109
## [3534,]  1.436467405  1.4403971156
## [3535,] -0.406043927 -0.4146974577
## [3536,]  0.551370238  0.5492552685
## [3537,]  0.032574385  0.0269163528
## [3538,] -0.187520825 -0.1946819750
## [3539,] -0.910690802 -0.9227907666
## [3540,]  2.170642142  2.1795858236
## [3541,]  0.158343077  0.1535439688
## [3542,] -0.880537758 -0.8924317957
## [3543,] -1.540131661 -1.5565303274
## [3544,] -0.784922110 -0.6700420452
## [3545,] -1.037827228 -0.9449664279
## [3546,]  0.626045399  0.6244404155
## [3547,] -0.077473220 -0.0838828111
## [3548,]  1.188074239  1.1903075742
## [3549,] -0.165511304 -0.1725221423
## [3550,] -0.313289517 -0.3213095910
## [3551,] -0.863527542 -0.8753054107
## [3552,]  3.289511865  3.3060967518
## [3553,]  2.520750737  2.5320854494
## [3554,]  1.604683030  1.6097615519
## [3555,] -0.156078652 -0.1630250711
## [3556,] -0.611612853 -1.0770548597
## [3557,] -1.047778676 -1.4024086904
## [3558,]  1.533938141  1.5385335180
## [3559,]  0.350140331  0.3466510830
## [3560,] -0.981435691 -0.9940188006
## [3561,] -1.374462852 -1.3897301004
## [3562,] -0.061752133 -0.0680543591
## [3563,] -0.659153419 -0.6695355348
## [3564,]  0.857931424  0.8579100823
## [3565,] -0.121492262 -0.1282024767
## [3566,] -0.187520825 -0.1946819750
## [3567,] -0.910690802 -0.9227907666
## [3568,]  1.934825845  1.9421590437
## [3569,]  0.260530139  0.2564289067
## [3570,] -1.335160136 -1.3501589704
## [3571,] -1.649581865 -1.6667280102
## [3572,]  0.472764806  0.4701130086
## [3573,]  0.001132212 -0.0047405512
## [3574,]  0.378438287  0.3751422966
## [3575,] -0.171799739 -0.1788535231
## [3576,]  0.988416441  0.9892862339
## [3577,] -0.406043927 -0.4146974577
## [3578,]  1.533938141  1.5385335180
## [3579,]  0.350140331  0.3466510830
## [3580,]  0.626045399  0.6244404155
## [3581,] -0.482872876 -0.4920511026
## [3582,]  0.629975670  0.6283975285
## [3583,] -0.156078652 -0.1630250711
## [3584,]  1.240425457  1.2430163193
## [3585,] -0.021034520 -0.0270586685
## [3586,] -0.156078652 -0.1630250711
## [3587,]  0.480845444  0.4782488329
## [3588,] -0.654311324 -0.6646603716
## [3589,]  1.101608264  1.1032510882
## [3590,]  0.315553941  0.3118284887
## [3591,]  0.299832855  0.2960000367
## [3592,] -0.618278594 -0.6283815596
## [3593,]  0.480845444  0.4782488329
## [3594,] -0.654311324 -0.6646603716
## [3595,]  1.530793924  1.5353678276
## [3596,] -0.160794978 -0.1677736067
## [3597,] -1.225112531 -1.1485519774
## [3598,] -1.420604241 -1.3610647738
## [3599,]  0.873652510  0.8737385343
## [3600,] -0.273986801 -0.2817384610
## [3601,] -1.177949271 -1.1918744505
## [3602,] -1.335160136 -1.3501589704
## [3603,] -0.454779295 -0.4637656589
## [3604,] -1.130786012 -1.1443890945
## [3605,]  0.158343077  0.1535439688
## [3606,] -0.077473220 -0.0838828111
## [3607,] -1.256554704 -1.1827414337
## [3608,] -1.447943210 -1.3907906066
## [3609,]  1.384587820  1.3881632240
## [3610,]  0.095458731  0.0902301608
## [3611,]  0.857931424  0.8579100823
## [3612,] -0.173371847 -0.1804363683
## [3613,]  0.857931424  0.8579100823
## [3614,] -0.121492262 -0.1282024767
## [3615,]  0.158343077  0.1535439688
## [3616,] -0.470500381 -0.4795941109
## [3617,]  1.636125203  1.6414184559
## [3618,]  0.787186535  0.7866820484
## [3619,]  1.227376955  1.2298787041
## [3620,] -0.218962998 -0.2263388790
## [3621,]  1.310698713  1.3137694997
## [3622,]  0.087598188  0.0823159348
## [3623,] -1.413765568 -1.3536254014
## [3624,] -0.879248629 -0.8911338626
## [3625,] -1.069473775 -1.0826581317
## [3626,]  0.629975670  0.6283975285
## [3627,] -0.156078652 -0.1630250711
## [3628,]  0.771465448  0.7708535964
## [3629,]  0.189785250  0.1852008727
## [3630,] -1.177949271 -0.9183588001
## [3631,] -1.492371000 -1.3078653467
## [3632,]  0.912955226  0.9133096643
## [3633,] -0.635571789 -0.6457928568
## [3634,]  1.416029993  1.4198201280
## [3635,]  1.392919996  1.3965523036
## [3636,] -0.863527542 -0.8753054107
## [3637,] -1.067901666 -1.0810752865
## [3638,] -1.099343839 -1.1127321905
## [3639,] -1.256554704 -1.2710167104
## [3640,]  0.079737645  0.0744017088
## [3641,] -0.313289517 -0.3213095910
## [3642,]  0.299832855  0.2960000367
## [3643,] -0.618278594 -0.6283815596
## [3644,]  0.629975670  0.6283975285
## [3645,]  0.001132212 -0.0047405512
## [3646,]  0.075021319  0.0696531732
## [3647,] -0.487793576 -0.4970054081
## [3648,]  1.305353544  1.3083878260
## [3649,]  0.258958030  0.2548460615
## [3650,]  0.095458731  0.0902301608
## [3651,] -0.706316678 -0.7170208907
## [3652,]  0.677138930  0.6758828845
## [3653,] -0.108915393 -0.1155397151
## [3654,]  0.629975670  0.6283975285
## [3655,] -0.156078652 -0.1630250711
## [3656,] -0.174000691 -0.1810695063
## [3657,] -0.476631605 -0.4857672072
## [3658,]  0.873416694  0.8735011076
## [3659,]  0.104262539  0.0990940939
## [3660,]  1.258819128  1.2615356081
## [3661,]  0.394159374  0.3909707486
## [3662,]  0.953830051  0.9544636395
## [3663,] -0.234684084 -0.2421673310
## [3664,]  1.809057154  1.8155314278
## [3665,]  0.048295472  0.0427448048
## [3666,]  1.730451722  1.7363891678
## [3667,]  0.315553941  0.3118284887
## [3668,] -0.706316678 -0.7170208907
## [3669,] -1.335160136 -1.3501589704
## [3670,]  0.119826415  0.1147642614
## [3671,] -0.711819058 -0.7225608489
## [3672,]  1.180213696  1.1823933482
## [3673,]  0.101747166  0.0965615416
## [3674,]  0.001132212 -0.0047405512
## [3675,] -0.391894949 -0.4004518509
## [3676,] -0.234684084 -0.2421673310
## [3677,] -0.784922110 -0.7961631507
## [3678,] -0.784922110 -0.7961631507
## [3679,] -1.429486654 -1.4451296823
## [3680,] -1.460928827 -1.2689273548
## [3681,] -1.696745124 -1.5610572647
## [3682,] -1.177949271 -0.9183588001
## [3683,] -1.335160136 -1.1131120734
## [3684,] -2.121214458 -2.1415815699
## [3685,] -1.413765568 -1.3536254014
## [3686,]  1.180213696  1.1823933482
## [3687,]  0.101747166  0.0965615416
## [3688,] -0.091622198 -0.0981284179
## [3689,] -0.956281952 -0.9686932774
## [3690,]  0.565519216  0.5635008753
## [3691,] -0.324294277 -0.3323895074
## [3692,]  0.425601546  0.4226276526
## [3693,] -0.627711246 -0.6378786308
## [3694,] -0.156078652 -0.1630250711
## [3695,] -0.784922110 -0.7961631507
## [3696,] -0.077473220 -0.0838828111
## [3697,] -0.549105813 -0.5587363708
## [3698,]  0.686571581  0.6853799556
## [3699,] -0.475216707 -0.4843426465
## [3700,] -0.879248629 -0.8911338626
## [3701,] -1.069473775 -1.0826581317
## [3702,]  0.221227423  0.2168577767
## [3703,] -0.313289517 -0.3213095910
## [3704,]  0.629975670  0.6283975285
## [3705,] -0.156078652 -0.1630250711
## [3706,] -0.439058208 -0.2940688251
## [3707,]  2.725596494  2.7383301789
## [3708,]  0.546653912  0.5445067329
## [3709,]  0.472764806  0.4701130086
## [3710,] -0.470500381 -0.4795941109
## [3711,] -0.880537758 -0.8924317957
## [3712,] -1.540131661 -1.5565303274
## [3713,]  0.001132212 -0.0047405512
## [3714,] -0.313289517 -0.3213095910
## [3715,]  1.447472166  1.4514770320
## [3716,] -0.250405171 -0.2579957830
## [3717,] -0.722037764 -0.7328493427
## [3718,] -1.005017320 -1.0177614786
## [3719,]  1.711586418  1.7173950255
## [3720,]  0.774609666  0.7740192868
## [3721,]  0.802907621  0.8025105004
## [3722,] -0.439058208 -0.4479372069
## [3723,] -0.627711246 -0.6378786308
## [3724,] -0.942132975 -0.9544476706
## [3725,] -0.138785457 -0.1456137739
## [3726,] -0.877676520 -0.8895510174
## [3727,]  0.944397399  0.9449665683
## [3728,]  0.236948509  0.2326862287
## [3729,]  0.565519216  0.5635008753
## [3730,] -0.324294277 -0.3323895074
## [3731,] -0.156078652 -0.1630250711
## [3732,] -0.376173862 -0.3846233989
## [3733,]  0.315553941  0.3118284887
## [3734,] -0.313289517 -0.3213095910
## [3735,] -1.020738407 -0.7236055268
## [3736,] -1.177949271 -0.9183588001
## [3737,]  0.920815770  0.9212238903
## [3738,]  0.236948509  0.2326862287
## [3739,] -1.225112531 -1.1485519774
## [3740,] -1.099343839 -1.0118416375
## [3741,]  0.299832855  0.2960000367
## [3742,] -0.618278594 -0.6283815596
## [3743,]  0.565519216  0.5635008753
## [3744,] -0.324294277 -0.3323895074
## [3745,]  1.180213696  1.1823933482
## [3746,]  0.101747166  0.0965615416
## [3747,]  2.500784958  2.5119833154
## [3748,] -0.124636479 -0.1313681671
## [3749,]  1.180213696  1.1823933482
## [3750,]  0.101747166  0.0965615416
## [3751,]  0.857931424  0.8579100823
## [3752,] -0.173371847 -0.1804363683
## [3753,]  0.565519216  0.5635008753
## [3754,] -0.324294277 -0.3323895074
## [3755,]  2.725596494  2.7383301789
## [3756,]  0.546653912  0.5445067329
## [3757,]  1.533938141  1.5385335180
## [3758,]  0.350140331  0.3466510830
## [3759,]  0.857931424  0.8579100823
## [3760,] -0.121492262 -0.1282024767
## [3761,] -0.234684084 -0.2421673310
## [3762,] -0.627711246 -0.6378786308
## [3763,]  0.480845444  0.4782488329
## [3764,] -0.654311324 -0.6646603716
## [3765,] -0.489365685 -0.4985882533
## [3766,] -1.177949271 -1.1918744505
## [3767,] -0.077473220 -0.0838828111
## [3768,] -0.313289517 -0.3213095910
## [3769,]  0.480845444  0.4782488329
## [3770,] -0.654311324 -0.6646603716
## [3771,]  0.686571581  0.6853799556
## [3772,] -0.475216707 -0.4843426465
## [3773,] -0.300712647 -0.3086468294
## [3774,] -0.986152017 -0.9987673362
## [3775,]  1.023002831  1.0241088283
## [3776,]  0.001132212 -0.0047405512
## [3777,]  1.533938141  1.5385335180
## [3778,]  0.350140331  0.3466510830
## [3779,] -1.570976433 -1.4052419833
## [3780,] -1.728187297 -1.5999952566
## [3781,]  0.857931424  0.8579100823
## [3782,] -0.121492262 -0.1282024767
## [3783,]  0.299832855  0.2960000367
## [3784,] -0.618278594 -0.6283815596
## [3785,]  0.857931424  0.8579100823
## [3786,] -0.121492262 -0.1282024767
## [3787,]  1.384587820  1.3881632240
## [3788,]  0.362717201  0.3593138446
## [3789,]  1.180213696  1.1823933482
## [3790,]  0.101747166  0.0965615416
## [3791,]  0.857931424  0.8579100823
## [3792,] -0.121492262 -0.1282024767
## [3793,]  1.180213696  1.1823933482
## [3794,]  0.101747166  0.0965615416
## [3795,]  0.565519216  0.5635008753
## [3796,] -0.324294277 -0.3323895074
## [3797,]  0.878133020  0.8782496432
## [3798,] -0.415932490 -0.4246535540
## [3799,]  2.351434636  2.3616130215
## [3800,]  1.496207534  1.5005452332
## [3801,]  0.057728124  0.0522418760
## [3802,] -0.678018722 -0.6885296772
## [3803,] -1.728187297 -1.7458702702
## [3804,] -1.319439049 -1.2510886894
## [3805,] -0.391894949 -0.4004518509
## [3806,] -0.942132975 -0.9544476706
## [3807,]  2.202084315  2.2112427276
## [3808,]  1.195934782  1.1982218002
## [3809,]  1.136194654  1.1380736826
## [3810,] -0.218962998 -0.2263388790
## [3811,]  0.174064163  0.1693724207
## [3812,]  0.016853299  0.0110879008
## [3813,] -1.583553302 -1.5382009800
## [3814,] -1.791071643 -1.7637880778
## [3815,] -0.203336238 -0.2106053977
## [3816,] -0.760240004 -0.7713124811
## [3817,]  1.015142288  1.0161946023
## [3818,]  0.001132212 -0.0047405512
## [3819,]  0.001132212 -0.0047405512
## [3820,] -0.470500381 -0.4795941109
## [3821,]  2.018147604  2.0260498393
## [3822,]  0.876796727  0.8769042247
## [3823,]  0.565519216  0.5635008753
## [3824,]  0.273264219  0.2692499528
## [3825,] -0.564826900 -0.5745648228
## [3826,] -0.784922110 -0.7961631507
## [3827,]  1.730451722  1.7363891678
## [3828,] -0.218962998 -0.2263388790
## [3829,]  0.189785250  0.1852008727
## [3830,] -0.611990159 -0.6220501788
## [3831,]  1.188074239  1.1903075742
## [3832,] -0.165511304 -0.1725221423
## [3833,]  1.180213696  1.1823933482
## [3834,]  0.101747166  0.0965615416
## [3835,]  0.425601546  0.4226276526
## [3836,] -0.627711246 -0.6378786308
## [3837,] -0.464998001 -0.4740541527
## [3838,] -1.187381923 -1.2013715217
## [3839,]  0.692860016  0.6917113364
## [3840,]  0.174064163  0.1693724207
## [3841,] -1.885398161 -1.8663247898
## [3842,]  0.550584184  0.5484638459
## [3843,] -0.482291196 -0.4914654499
## [3844,]  0.449183176  0.4463703306
## [3845,] -0.218962998 -0.2263388790
## [3846,]  0.614254584  0.6125690765
## [3847,]  0.144036888  0.1391400774
## [3848,] -0.926411888 -0.9386192186
## [3849,] -1.067901666 -1.0810752865
## [3850,] -0.013394072 -0.0193660408
## [3851,] -1.062163470 -1.0752979016
## [3852,]  0.661417843  0.6600544325
## [3853,]  0.221227423  0.2168577767
## [3854,]  0.394159374  0.3909707486
## [3855,] -0.391894949 -0.4004518509
## [3856,]  0.702214062  0.7011292654
## [3857,]  0.126900904  0.1218870648
## [3858,]  1.423890536  1.4277343540
## [3859,] -0.412332361 -0.4210288385
## [3860,]  0.988416441  0.9892862339
## [3861,] -0.602557507 -0.6125531076
## [3862,]  1.689576897  1.6952351927
## [3863,]  0.684999473  0.6837971104
## [3864,]  2.437900612  2.4486695074
## [3865,]  1.494635425  1.4989623880
## [3866,]  0.873416694  0.8735011076
## [3867,]  0.104262539  0.0990940939
## [3868,]  0.284111768  0.2801715847
## [3869,] -1.124497577 -1.1380577137
## [3870,]  1.730451722  1.7363891678
## [3871,]  0.394159374  0.3909707486
## [3872,] -0.313258074 -0.3212779341
## [3873,] -1.226558871 -1.2408160240
## [3874,]  0.975839572  0.9766234723
## [3875,] -0.281847344 -0.2896526870
## [3876,]  0.425601546  0.4226276526
## [3877,] -0.627711246 -0.6378786308
## [3878,]  0.221227423  0.2168577767
## [3879,] -0.313289517 -0.3213095910
## [3880,]  0.565519216  0.5635008753
## [3881,] -0.324294277 -0.3323895074
## [3882,]  1.543370793  1.5480305892
## [3883,] -0.063324242 -0.0696372043
## [3884,] -0.030309961 -0.0363974551
## [3885,] -0.910690802 -0.9227907666
## [3886,]  1.543370793  1.5480305892
## [3887,] -0.063324242 -0.0696372043
## [3888,]  0.079737645  0.0744017088
## [3889,] -1.759629470 -1.7775271741
## [3890,]  1.070166091  1.0715941842
## [3891,] -0.549105813 -0.5587363708
## [3892,] -0.722037764 -0.7328493427
## [3893,] -1.005017320 -1.0177614786
## [3894,]  1.343712995  1.3470092489
## [3895,] -0.654122671 -0.6644704301
## [3896,] -0.863527542 -0.8753054107
## [3897,] -1.067901666 -1.0810752865
## [3898,]  0.038469793  0.0328520223
## [3899,] -0.879248629 -0.8911338626
## [3900,] -0.534422319 -0.5439525967
## [3901,] -1.073152509 -1.0863619895
## [3902,] -0.627711246 -0.6378786308
## [3903,] -1.115064926 -1.1285606425
## [3904,]  1.941114280  1.9484904245
## [3905,]  0.507351196  0.5049356030
## [3906,]  0.158343077  0.1535439688
## [3907,] -0.596269073 -0.6062217268
## [3908,]  2.123478883  2.1321004676
## [3909,]  0.064016558  0.0585732568
## [3910,]  1.101608264  1.1032510882
## [3911,]  0.315553941  0.3118284887
## [3912,]  0.386298830  0.3830565226
## [3913,] -0.580547986 -0.5903932748
## [3914,]  1.180213696  1.1823933482
## [3915,] -0.391894949 -0.4004518509
## [3916,]  0.787186535  0.7866820484
## [3917,]  0.472764806  0.4701130086
## [3918,]  1.573240857  1.5781046479
## [3919,] -0.391894949 -0.4004518509
## [3920,] -0.627711246 -0.6378786308
## [3921,] -0.942132975 -0.9544476706
## [3922,]  1.966268018  1.9738159477
## [3923,]  0.787186535  0.7866820484
## [3924,]  1.966268018  1.9738159477
## [3925,]  0.787186535  0.7866820484
## [3926,]  1.711586418  1.7173950255
## [3927,]  0.774609666  0.7740192868
## [3928,]  0.425601546  0.4226276526
## [3929,] -0.218962998 -0.2263388790
## [3930,] -0.627711246 -0.6378786308
## [3931,] -1.099343839 -1.1127321905
## [3932,] -0.549105813 -0.5587363708
## [3933,] -1.177949271 -1.1918744505
## [3934,] -0.174000691 -0.1810695063
## [3935,] -0.427739026 -0.4365407215
## [3936,] -0.156078652 -0.1630250711
## [3937,] -0.376173862 -0.3846233989
## [3938,]  1.282400758  1.2852782861
## [3939,] -0.501942554 -0.5112510149
## [3940,]  2.351434636  2.3616130215
## [3941,]  1.566952423  1.5717732671
## [3942,]  0.551370238  0.5492552685
## [3943,] -1.105632274 -1.1190635713
## [3944,]  0.686571581  0.6853799556
## [3945,] -0.475216707 -0.4843426465
## [3946,]  1.423890536  1.4277343540
## [3947,] -0.412332361 -0.4210288385
## [3948,] -0.470500381 -0.4795941109
## [3949,] -0.627711246 -0.6378786308
## [3950,] -0.784922110 -0.7961631507
## [3951,] -1.177949271 -1.1918744505
## [3952,]  2.312131920  2.3220418915
## [3953,] -0.187520825 -0.1946819750
## [3954,] -0.234684084 -0.2421673310
## [3955,] -0.706316678 -0.7170208907
## [3956,]  1.842071435  1.8487711770
## [3957,]  0.271534899  0.2675088231
## [3958,]  0.818628708  0.8183389524
## [3959,] -0.156078652 -0.1630250711
## [3960,]  0.383940667  0.3806822548
## [3961,] -0.363596993 -0.3719606373
## [3962,]  1.711586418  1.7173950255
## [3963,]  0.774609666  0.7740192868
## [3964,]  0.606394041  0.6046548505
## [3965,] -0.517663640 -0.5270794669
## [3966,]  0.015768544  0.0099957376
## [3967,] -0.104985121 -0.1115826021
## [3968,]  2.830927773  2.8443808072
## [3969,]  0.850070881  0.8499958564
## [3970,]  1.533938141  1.5385335180
## [3971,]  0.350140331  0.3466510830
## [3972,]  0.787186535  0.7866820484
## [3973,]  0.158343077  0.1535439688
## [3974,]  0.875224619  0.8753213795
## [3975,] -0.695311917 -0.7059409744
## [3976,]  2.736601254  2.7494100953
## [3977,]  0.142621990  0.1377155168
## [3978,]  1.274540215  1.2773640601
## [3979,]  0.115110089  0.1100157258
## [3980,]  1.416029993  1.4198201280
## [3981,]  0.115110089  0.1100157258
## [3982,]  1.290261301  1.2931925121
## [3983,] -0.659153419 -0.6695355348
## [3984,] -0.077473220 -0.0838828111
## [3985,] -0.313289517 -0.3213095910
## [3986,]  2.002426517  2.0102213873
## [3987,]  0.996276984  0.9972004599
## [3988,]  0.472764806  0.4701130086
## [3989,] -0.234684084 -0.2421673310
## [3990,]  0.928676313  0.9291381163
## [3991,] -0.234684084 -0.2421673310
## [3992,]  1.730451722  1.7363891678
## [3993,] -0.218962998 -0.2263388790
## [3994,]  0.928676313  0.9291381163
## [3995,] -0.234684084 -0.2421673310
## [3996,]  0.539579423  0.5373839295
## [3997,]  0.276251225  0.2722573587
## [3998,] -0.863527542 -0.8753054107
## [3999,] -1.020738407 -1.0335899306
## [4000,]  1.258819128  1.2615356081
## [4001,]  0.394159374  0.3909707486
## [4002,] -0.942132975 -0.6262288901
## [4003,] -1.177949271 -0.9183588001
## [4004,]  0.070933836  0.0655377757
## [4005,] -1.279350279 -1.2939679658
## [4006,] -0.942132975 -0.9544476706
## [4007,] -1.413765568 -1.4293012303
## [4008,]  1.205367434  1.2077188713
## [4009,] -0.154506544 -0.1614422259
## [4010,]  0.299832855  0.2960000367
## [4011,] -0.618278594 -0.6283815596
## [4012,]  0.332061082  0.3284483633
## [4013,] -0.401327601 -0.4099489221
## [4014,]  1.188074239  1.1903075742
## [4015,] -0.165511304 -0.1725221423
## [4016,]  1.205367434  1.2077188713
## [4017,] -0.154506544 -0.1614422259
## [4018,]  0.189785250  0.1852008727
## [4019,] -0.611990159 -0.6220501788
## [4020,] -1.728187297 -1.5999952566
## [4021,] -1.822513816 -1.7168567177
## [4022,] -0.218962998 -0.2263388790
## [4023,] -0.722037764 -0.7328493427
## [4024,] -1.099343839 -1.1127321905
## [4025,] -1.531673716 -1.5480146203
## [4026,]  0.001132212 -0.0047405512
## [4027,] -0.549105813 -0.5587363708
## [4028,]  1.620404116  1.6255900039
## [4029,]  0.101747166  0.0965615416
## [4030,]  2.359295180  2.3695272475
## [4031,]  1.337424560  1.3406778681
## [4032,]  1.150343632  1.1523192894
## [4033,] -0.553822139 -0.5634849064
## [4034,]  0.359572983  0.3561481542
## [4035,] -0.627711246 -0.6378786308
## [4036,] -0.863527542 -0.8753054107
## [4037,] -1.256554704 -1.2710167104
## [4038,]  0.472764806  0.4701130086
## [4039,] -0.470500381 -0.4795941109
## [4040,]  0.038469793  0.0328520223
## [4041,] -0.879248629 -0.8911338626
## [4042,]  0.519928065  0.5175983645
## [4043,] -0.391894949 -0.4004518509
## [4044,]  0.565519216  0.5635008753
## [4045,] -0.324294277 -0.3323895074
## [4046,] -0.464998001 -0.4740541527
## [4047,] -1.187381923 -1.2013715217
## [4048,] -0.250405171 -0.2579957830
## [4049,] -0.470500381 -0.4795941109
## [4050,] -1.526957390 -1.4766757871
## [4051,] -1.715610428 -1.6817492111
## [4052,]  1.710800364  1.7166036029
## [4053,]  0.354856657  0.3513996186
## [4054,]  1.636125203  1.6414184559
## [4055,]  0.787186535  0.7866820484
## [4056,]  0.057728124  0.0522418760
## [4057,] -0.678018722 -0.6885296772
## [4058,]  1.258819128  1.2615356081
## [4059,]  0.724302189  0.7233682404
## [4060,]  0.565519216  0.5635008753
## [4061,] -0.324294277 -0.3323895074
## [4062,] -0.344731690 -0.3529664950
## [4063,] -1.075762209 -1.0889895125
## [4064,]  1.101608264  1.1032510882
## [4065,]  0.001132212 -0.0047405512
## [4066,]  1.205367434  1.2077188713
## [4067,] -0.154506544 -0.1614422259
## [4068,]  1.543370793  1.5480305892
## [4069,] -0.063324242 -0.0696372043
## [4070,]  0.079737645  0.0744017088
## [4071,] -0.635131598 -0.6453496601
## [4072,]  2.162781599  2.1716715976
## [4073,]  0.905094683  0.9053954383
## [4074,]  1.543370793  1.5480305892
## [4075,] -0.063324242 -0.0696372043
## [4076,] -0.247260954 -0.2548300926
## [4077,] -0.734614633 -0.7455121043
## [4078,]  1.423890536  1.4277343540
## [4079,] -0.412332361 -0.4210288385
## [4080,]  0.661417843  0.6600544325
## [4081,]  0.221227423  0.2168577767
## [4082,]  1.879802043  1.8867594618
## [4083,]  0.262102247  0.2580117519
## [4084,]  0.158343077  0.1535439688
## [4085,] -0.880522037 -0.8924159673
## [4086,] -1.540131661 -1.5565303274
## [4087,] -0.880522037 -0.8924159673
## [4088,] -1.540131661 -1.5565303274
## [4089,]  0.472764806  0.4701130086
## [4090,] -0.549105813 -0.5587363708
## [4091,]  0.576523976  0.5745807917
## [4092,] -0.473644598 -0.4827598013
## [4093,]  0.158343077  0.1535439688
## [4094,] -1.177949271 -1.1918744505
## [4095,]  0.787186535  0.7866820484
## [4096,] -0.549105813 -0.5587363708
## [4097,]  2.044873451  2.0529582077
## [4098,]  0.787186535  0.7866820484
## [4099,]  1.730451722  1.7363891678
## [4100,] -0.218962998 -0.2263388790
## [4101,]  3.678451543  3.6976926540
## [4102,]  2.608474400  2.6204082115
## [4103,]  1.337424560  1.3406778681
## [4104,]  0.850070881  0.8499958564
## [4105,]  1.636125203  1.6414184559
## [4106,]  0.787186535  0.7866820484
## [4107,]  0.755744362  0.7550251444
## [4108,] -0.281847344 -0.2896526870
## [4109,] -0.130924914 -0.1376995479
## [4110,] -0.872960194 -0.8848024818
## [4111,] -0.234684084 -0.2421673310
## [4112,] -0.659153419 -0.6695355348
## [4113,]  0.935750802  0.9362609197
## [4114,]  0.277194490  0.2732070658
## [4115,]  0.551370238  0.5492552685
## [4116,]  0.221227423  0.2168577767
## [4117,] -0.439058208 -0.4479372069
## [4118,] -0.879248629 -0.8911338626
## [4119,] -1.099343839 -1.1127321905
## [4120,] -1.531673716 -1.5480146203
## [4121,]  1.384587820  1.3881632240
## [4122,] -0.006728331 -0.0126547771
## [4123,]  1.699009549  1.7047322639
## [4124,]  0.818628708  0.8183389524
## [4125,]  0.576523976  0.5745807917
## [4126,] -0.525524184 -0.5349936928
## [4127,]  1.101608264  1.1032510882
## [4128,]  0.158343077  0.1535439688
## [4129,]  1.136194654  1.1380736826
## [4130,] -0.218962998 -0.2263388790
## [4131,]  1.227376955  1.2298787041
## [4132,] -0.218962998 -0.2263388790
## [4133,] -1.570976433 -1.4052419833
## [4134,] -1.806792729 -1.6973718933
## [4135,]  0.394159374  0.3909707486
## [4136,] -0.077473220 -0.0838828111
## [4137,]  0.708581102  0.7075397884
## [4138,] -0.156078652 -0.1630250711
## [4139,]  0.472764806  0.4701130086
## [4140,]  0.236948509  0.2326862287
## [4141,]  1.101608264  1.1032510882
## [4142,]  0.629975670  0.6283975285
## [4143,] -0.706316678 -0.5846000614
## [4144,]  0.158343077 -0.5027194792
## [4145,] -1.256554704 -1.0157354367
## [4146,]  0.276251225  0.2722573587
## [4147,] -0.682735048 -0.6932782128
## [4148,] -0.061752133 -0.0680543591
## [4149,] -0.825796935 -0.8373171259
## [4150,]  2.024436038  2.0323812201
## [4151,]  0.147338316  0.1424640524
## [4152,]  1.205367434  1.2077188713
## [4153,] -0.154506544 -0.1614422259
## [4154,]  2.725596494  2.7383301789
## [4155,]  0.546653912  0.5445067329
## [4156,] -0.234684084 -0.2421673310
## [4157,] -0.659153419 -0.6695355348
## [4158,] -1.492371000 -1.7340464165
## [4159,]  0.315553941  0.3118284887
## [4160,] -0.470500381 -0.4795941109
## [4161,]  0.258392071  0.2542762372
## [4162,] -0.526231633 -0.5357059732
## [4163,] -0.077473220 -0.0838828111
## [4164,] -0.391894949 -0.4004518509
## [4165,]  0.550584184  0.5484638459
## [4166,] -0.482291196 -0.4914654499
## [4167,] -0.863527542 -0.8753054107
## [4168,] -1.162228185 -1.1760459985
## [4169,] -1.099343839 -1.1127321905
## [4170,] -1.531673716 -1.5480146203
## [4171,]  0.158343077  0.1535439688
## [4172,] -0.297568430 -0.3054811390
## [4173,]  0.284111768  0.2801715847
## [4174,] -0.313289517 -0.3213095910
## [4175,]  1.573240857  1.5781046479
## [4176,] -0.156078652 -0.1630250711
## [4177,] -0.077473220 -0.0838828111
## [4178,] -0.549105813 -0.5587363708
## [4179,]  1.133050437  1.1349079922
## [4180,]  0.260530139  0.2564289067
## [4181,]  0.875224619  0.8753213795
## [4182,] -0.695311917 -0.7059409744
## [4183,] -0.218962998 -0.2263388790
## [4184,] -0.722037764 -0.7328493427
## [4185,] -0.187520825 -0.1946819750
## [4186,] -1.303717963 -1.3185020664
## [4187,]  0.963262703  0.9639607107
## [4188,]  0.409880460  0.4067992006
## [4189,]  1.258819128  1.2615356081
## [4190,] -0.234684084 -0.2421673310
## [4191,] -1.099343839 -1.1127321905
## [4192,] -1.413765568 -1.4293012303
## [4193,]  0.787186535  0.7866820484
## [4194,]  0.472764806  0.4701130086
## [4195,]  3.302560366 -2.0880655737
## [4196,]  0.079737645  0.0744017088
## [4197,] -0.163939195 -0.1709392971
## [4198,] -0.344731690 -0.3529664950
## [4199,] -1.075762209 -1.0889895125
## [4200,]  0.787186535  0.7866820484
## [4201,] -0.470500381 -0.4795941109
## [4202,] -0.368313319 -0.3767091729
## [4203,] -1.130786012 -1.1443890945
## [4204,]  0.122970632  0.1179299518
## [4205,] -0.711819058 -0.7225608489
## [4206,]  0.409880460  0.4067992006
## [4207,] -0.266126257 -0.2738242350
## [4208,] -0.470500381 -0.4795941109
## [4209,] -0.784922110 -0.7961631507
## [4210,] -1.256554704 -1.2710167104
## [4211,] -1.728187297 -1.7458702702
## [4212,]  0.629975670  0.6283975285
## [4213,]  0.128158591  0.1231533409
## [4214,]  0.504206979  0.5017699126
## [4215,]  0.001132212 -0.0047405512
## [4216,]  0.335205299  0.3316140537
## [4217,] -0.568757171 -0.5785219358
## [4218,]  1.604683030  1.6097615519
## [4219,] -0.329010603 -0.3371380430
## [4220,]  1.274540215  1.2773640601
## [4221,]  0.799763404  0.7993448100
## [4222,]  1.585817726  1.5907674095
## [4223,]  0.271534899  0.2675088231
## [4224,]  1.585817726  1.5907674095
## [4225,]  0.271534899  0.2675088231
## [4226,]  0.144194099  0.1392983620
## [4227,] -0.467985007 -0.4770615586
## [4228,] -0.156078652 -0.1630250711
## [4229,] -0.627711246 -0.6378786308
## [4230,]  0.236948509  0.2326862287
## [4231,] -0.013111092 -0.0190811287
## [4232,]  2.202084315  2.2112427276
## [4233,]  1.533938141  1.5385335180
## [4234,]  0.350140331  0.3466510830
## [4235,]  0.394159374  0.3909707486
## [4236,] -0.313289517 -0.3213095910
## [4237,]  1.180213696  1.1823933482
## [4238,]  0.101747166  0.0965615416
## [4239,]  1.730451722  1.7363891678
## [4240,] -0.218962998 -0.2263388790
## [4241,] -1.020738407 -1.0335899306
## [4242,] -1.221182259 -1.2354026934
## [4243,]  0.197645793  0.1931150987
## [4244,] -0.313289517 -0.3213095910
## [4245,] -0.077473220 -0.0838828111
## [4246,] -0.313289517 -0.3213095910
## [4247,]  0.875224619  0.8753213795
## [4248,] -0.695311917 -0.7059409744
## [4249,] -2.011166853 -2.0030351296
## [4250,] -1.052180580 -1.0652468345
## [4251,] -1.351400018 -1.3665097613
## [4252,]  0.607966149  0.6062376957
## [4253,] -0.603343562 -0.6133445302
## [4254,]  1.090603503  1.0921711718
## [4255,] -0.108915393 -0.1155397151
## [4256,]  1.293405518  1.2963582025
## [4257,] -0.261409931 -0.2690756994
## [4258,] -0.313289517 -0.3213095910
## [4259,] -1.099343839 -1.1127321905
## [4260,]  0.614254584  0.8509455635
## [4261,] -0.313289517 -0.1573584853
## [4262,]  0.769893340  0.7692707512
## [4263,]  0.524801602  0.5225051847
## [4264,] -1.806792729 -1.6973718933
## [4265,] -1.806792729 -1.6973718933
## [4266,]  0.857931424  0.8579100823
## [4267,] -0.121492262 -0.1282024767
## [4268,]  3.805635133  3.8257448306
## [4269,]  1.164492609  1.1665648962
## [4270,]  1.305982388  1.3090209641
## [4271,]  0.773006115  0.7724047847
## [4272,]  0.346996114  0.3434853926
## [4273,] -0.674874505 -0.6853639868
## [4274,] -0.880522037 -0.8924159673
## [4275,] -1.540131661 -1.5565303274
## [4276,]  1.101608264  1.1032510882
## [4277,]  0.001132212 -0.0047405512
## [4278,] -0.344731690 -0.3529664950
## [4279,] -1.075762209 -1.0889895125
## [4280,]  0.787186535  0.7866820484
## [4281,]  0.001132212 -0.0047405512
## [4282,]  0.920029715  0.9204324677
## [4283,]  0.026285951  0.0205849720
## [4284,]  0.920029715  0.9204324677
## [4285,]  0.026285951  0.0205849720
## [4286,]  1.431122236  1.4350154419
## [4287,]  0.799763404  0.7993448100
## [4288,] -0.459794321 -0.4688149351
## [4289,] -1.218682606 -1.2328859696
## [4290,]  0.661417843  0.6600544325
## [4291,]  0.221227423  0.2168577767
## [4292,] -1.099343839 -1.1127321905
## [4293,] -1.531673716 -1.5480146203
## [4294,]  1.573240857  1.5781046479
## [4295,]  0.409880460  0.4067992006
## [4296,]  1.573240857  1.5781046479
## [4297,]  0.315553941  0.3118284887
## [4298,]  1.573240857  1.5781046479
## [4299,]  0.787186535  0.7866820484
## [4300,] -0.218962998 -0.2263388790
## [4301,] -0.722037764 -0.7328493427
## [4302,]  1.258819128  1.2615356081
## [4303,]  0.394159374  0.3909707486
## [4304,]  0.708581102 -1.7729369231
## [4305,]  0.787186535  1.0389242593
## [4306,]  0.276251225  0.2722573587
## [4307,] -0.682735048 -0.6932782128
## [4308,]  2.830927773  2.8443808072
## [4309,]  0.850070881  0.8499958564
## [4310,]  1.205367434  1.2077188713
## [4311,] -0.154506544 -0.1614422259
## [4312,]  3.289511865  3.3060967518
## [4313,]  2.520750737  2.5320854494
## [4314,]  3.289511865  3.3060967518
## [4315,]  2.288393080  2.2981409290
## [4316,]  0.450126441  0.4473200377
## [4317,] -0.017733091 -0.0237346935
## [4318,]  2.024436038  2.0323812201
## [4319,]  0.147338316  0.1424640524
## [4320,]  2.856710355  2.8703394685
## [4321,]  2.104299157  2.1127897562
## [4322,]  0.283388598  0.2794434759
## [4323,] -0.536057312 -0.5455987557
## [4324,]  0.001132212 -0.0047405512
## [4325,] -0.391894949 -0.4004518509
## [4326,]  2.856710355  2.8703394685
## [4327,]  1.851818509  1.8585848172
## [4328,]  0.551370238  0.5492552685
## [4329,] -1.570976433 -1.5875857502
## [4330,]  2.856710355  2.8703394685
## [4331,]  2.104299157  2.1127897562
## [4332,]  0.615983903  0.6143102062
## [4333,] -0.171799739 -0.1788535231
## [4334,]  0.771465448  0.7708535964
## [4335,] -0.077473220 -0.0838828111
## [4336,]  0.771465448  0.7708535964
## [4337,] -0.124636479 -0.1313681671
## [4338,]  1.258819128  1.2615356081
## [4339,]  0.315553941  0.3118284887
## [4340,]  2.856710355  2.8703394685
## [4341,]  2.104299157  2.1127897562
## [4342,] -1.319439049 -1.3343305184
## [4343,] -1.539534260 -1.5559288463
## [4344,] -0.621422811 -0.6315472500
## [4345,] -1.287996876 -1.3026736144
## [4346,]  2.725596494  2.7383301789
## [4347,]  0.546653912  0.5445067329
## [4348,]  0.818628708  0.8183389524
## [4349,] -0.156078652 -0.1630250711
## [4350,]  1.337424560  1.3406778681
## [4351,]  0.787186535  0.7866820484
## [4352,]  3.289511865  3.3060967518
## [4353,]  2.288393080  2.2981409290
## [4354,]  2.610832563  2.6227824793
## [4355,]  0.818628708  0.8183389524
## [4356,]  0.450126441  0.4473200377
## [4357,] -0.017733091 -0.0237346935
## [4358,]  0.315553941  0.3118284887
## [4359,] -0.470500381 -0.4795941109
## [4360,]  0.787186535  0.7866820484
## [4361,]  1.205367434  1.2077188713
## [4362,] -0.154506544 -0.1614422259
## [4363,]  0.260530139  0.2564289067
## [4364,] -0.577089347 -0.5869110154
## [4365,]  1.533938141  1.5385335180
## [4366,]  0.350140331  0.3466510830
## [4367,]  3.391070083  3.4083485516
## [4368,]  2.608474400  2.6204082115
## [4369,]  0.551370238  0.5492552685
## [4370,] -1.105632274 -1.1190635713
## [4371,]  1.730451722  1.7363891678
## [4372,] -0.218962998 -0.2263388790
## [4373,]  2.162781599  2.1716715976
## [4374,]  0.905094683  0.9053954383
## [4375,]  1.243098042  1.2457071561
## [4376,] -0.297568430 -0.3054811390
## [4377,] -0.706316678 -0.7170208907
## [4378,] -1.256554704 -1.2710167104
## [4379,]  0.551370238  0.5492552685
## [4380,] -0.994012560 -1.0066815622
## [4381,]  0.472764806  0.4701130086
## [4382,]  0.001132212 -0.0047405512
## [4383,] -0.077473220 -0.0838828111
## [4384,] -0.549105813 -0.5587363708
## [4385,]  0.666134169  0.6648029681
## [4386,]  0.060872341  0.0554075664
## [4387,]  1.136194654  1.1380736826
## [4388,] -0.218962998 -0.2263388790
## [4389,] -0.926411888 -1.3118699450
## [4390,]  0.001132212 -0.0047405512
## [4391,] -0.942132975 -0.9544476706
## [4392,]  0.079737645  0.0744017088
## [4393,] -0.163939195 -0.1709392971
## [4394,] -0.287349724 -0.2951926452
## [4395,] -0.701285930 -0.7119557861
## [4396,]  1.136194654  1.1380736826
## [4397,] -0.218962998 -0.2263388790
## [4398,]  0.857931424  0.8579100823
## [4399,] -0.369885428 -0.3782920181
## [4400,]  2.507073392  2.5183146962
## [4401,]  0.144194099  0.1392983620
## [4402,]  1.343712995  1.3470092489
## [4403,]  0.159600764  0.1548102449
## [4404,] -0.058765127 -0.0650469532
## [4405,] -0.476631605 -0.4857672072
## [4406,]  0.629975670  0.6283975285
## [4407,]  0.394159374  0.3909707486
## [4408,]  2.351434636  2.3616130215
## [4409,]  1.496207534  1.5005452332
## [4410,]  1.240834205  1.2434278590
## [4411,] -0.084704920 -0.0911638990
## [4412,]  0.944397399  0.9449665683
## [4413,]  0.029430168  0.0237506624
## [4414,]  2.856710355  2.8703394685
## [4415,]  1.851818509  1.8585848172
## [4416,]  0.001132212 -0.0047405512
## [4417,] -0.784922110 -0.7961631507
## [4418,] -0.368313319 -0.3767091729
## [4419,] -1.130786012 -1.1443890945
## [4420,] -1.649581865 -1.6099830098
## [4421,] -1.791071643 -1.7637880778
## [4422,] -0.368313319 -0.3767091729
## [4423,] -1.130786012 -1.1443890945
## [4424,]  0.276251225  0.2722573587
## [4425,] -0.682735048 -0.6932782128
## [4426,] -0.706316678 -0.7170208907
## [4427,] -1.256554704 -1.2710167104
## [4428,]  2.359295180  2.3695272475
## [4429,]  0.787186535  0.7866820484
## [4430,] -0.847806456 -0.8594769587
## [4431,] -1.225112531 -1.2393598064
## [4432,]  2.725596494  2.7383301789
## [4433,]  0.546653912  0.5445067329
## [4434,]  0.868150130  0.8681985761
## [4435,]  0.281753605  0.2777973169
## [4436,]  1.842071435  1.8487711770
## [4437,]  0.271534899  0.2675088231
## [4438,]  1.533938141  1.5385335180
## [4439,]  0.350140331  0.3466510830
## [4440,] -0.313289517 -0.3213095910
## [4441,] -0.627711246 -0.6378786308
## [4442,]  1.620404116  1.6255900039
## [4443,]  0.101747166  0.0965615416
## [4444,]  1.136194654  1.1380736826
## [4445,] -0.218962998 -0.2263388790
## [4446,]  2.024436038  2.0323812201
## [4447,]  0.147338316  0.1424640524
## [4448,]  1.144841251  1.1467793312
## [4449,]  0.508137250  0.5057270256
## [4450,] -0.863527542 -0.7324694599
## [4451,] -1.618139692 -1.5757935535
## [4452,]  1.023002831  1.0241088283
## [4453,]  0.551370238  0.5492552685
## [4454,]  2.302699268  2.3125448203
## [4455,] -0.020971635 -0.0269953547
## [4456,]  0.881513053  0.8816527603
## [4457,] -0.152148381 -0.1590679581
## [4458,]  1.643985746  1.6493326819
## [4459,] -0.299140539 -0.3070639842
## [4460,]  0.755744362  0.7550251444
## [4461,] -0.407616035 -0.4162803029
## [4462,] -0.077473220 -0.0838828111
## [4463,] -0.313289517 -0.3213095910
## [4464,]  1.329328201  1.3325262153
## [4465,] -0.585971761 -0.5958540908
## [4466,]  2.302699268  2.3125448203
## [4467,] -0.020971635 -0.0269953547
## [4468,]  1.136194654  1.1380736826
## [4469,] -0.218962998 -0.2263388790
## [4470,]  0.787186535  0.7866820484
## [4471,]  0.001132212 -0.0047405512
## [4472,] -0.391894949 -0.4004518509
## [4473,] -0.706316678 -0.7170208907
## [4474,] -1.256554704 -1.0157354367
## [4475,] -1.696745124 -1.5610572647
## [4476,] -1.335160136 -1.2681834175
## [4477,] -1.413765568 -1.3536254014
## [4478,]  1.699009549  1.7047322639
## [4479,]  0.629975670  0.6283975285
## [4480,]  0.538541831  0.5363392517
## [4481,]  0.275323681  0.2713234800
## [4482,] -0.784922110 -1.2063258271
## [4483,] -1.885398161 -1.8663247898
## [4484,]  0.857931424  0.8579100823
## [4485,] -0.313289517 -0.3213095910
## [4486,] -0.942132975 -0.9544476706
## [4487,] -1.036459493 -1.0494183826
## [4488,] -0.218962998 -0.2263388790
## [4489,] -0.722037764 -0.7328493427
## [4490,]  0.824917142  0.8246703332
## [4491,] -0.042886830 -0.0490602167
## [4492,] -1.099343839 -1.1127321905
## [4493,] -1.531673716 -1.5480146203
## [4494,] -0.344731690 -0.3529664950
## [4495,] -1.075762209 -1.0889895125
## [4496,] -0.706316678 -0.7170208907
## [4497,] -1.177949271 -1.1918744505
## [4498,] -0.863527542 -0.8753054107
## [4499,] -1.177949271 -1.1918744505
## [4500,]  0.276251225  0.2722573587
## [4501,] -0.682735048 -0.6932782128
## [4502,] -0.163939195 -0.1709392971
## [4503,] -0.942132975 -0.9544476706
## [4504,]  1.879802043  1.8867594618
## [4505,]  0.262102247  0.2580117519
## [4506,]  2.830927773  2.8443808072
## [4507,]  0.850070881  0.8499958564
## [4508,]  1.604683030  1.6097615519
## [4509,] -0.329010603 -0.3371380430
## [4510,]  0.472764806  0.4701130086
## [4511,]  0.236948509  0.2326862287
## [4512,]  0.661417843  0.6600544325
## [4513,] -0.124636479 -0.1313681671
## [4514,] -0.108915393 -0.1155397151
## [4515,] -0.329010603 -0.3371380430
## [4516,]  0.645696757  0.6442259805
## [4517,] -0.061752133 -0.0680543591
## [4518,] -1.020738407 -1.0335899306
## [4519,] -1.256554704 -1.2710167104
## [4520,]  0.079737645  0.0744017088
## [4521,] -0.163939195 -0.1709392971
## [4522,] -0.470500381 -0.0419690702
## [4523,] -1.099343839 -0.8209821634
## [4524,] -0.174000691 -0.1810695063
## [4525,] -0.427739026 -0.4365407215
## [4526,]  0.988416441  0.9892862339
## [4527,] -0.080617437 -0.0870485015
## [4528,]  1.573240857  1.5781046479
## [4529,] -0.784922110 -0.7961631507
## [4530,]  0.935750802  0.9362609197
## [4531,]  0.277194490  0.2732070658
## [4532,] -2.105493372 -2.1257531179
## [4533,] -1.932561421 -1.9516401460
## [4534,] -1.225112531 -1.2393598064
## [4535,]  0.361145092  0.3577309994
## [4536,] -0.091622198 -0.0981284179
## [4537,]  1.258819128  1.2615356081
## [4538,]  0.394159374  0.3909707486
## [4539,]  0.158343077  0.1535439688
## [4540,] -0.234684084 -0.2421673310
## [4541,]  0.001132212 -0.0047405512
## [4542,] -0.627711246 -0.6378786308
## [4543,] -0.761340480 -0.7724204727
## [4544,] -1.041175819 -1.0541669182
## [4545,]  2.520750737  2.5320854494
## [4546,]  1.627164184  1.6323962383
## [4547,]  0.831205577  0.8310017140
## [4548,] -0.717321438 -0.7281008071
## [4549,] -0.627711246 -0.6378786308
## [4550,] -1.256554704 -1.2710167104
## [4551,]  2.092036710  2.1004435636
## [4552,]  0.535649152  0.5334268165
## [4553,]  0.260530139  0.2564289067
## [4554,] -0.577089347 -0.5869110154
## [4555,]  1.101608264  1.1032510882
## [4556,]  0.551370238  0.5492552685
## [4557,]  1.730451722  1.7363891678
## [4558,]  1.180213696  1.1823933482
## [4559,]  1.518217055  1.5227050660
## [4560,] -0.258265714 -0.2659100090
## [4561,]  2.856710355  2.8703394685
## [4562,]  2.104299157  2.1127897562
## [4563,]  2.856710355  2.8703394685
## [4564,]  2.104299157  2.1127897562
## [4565,]  0.378438287  0.3751422966
## [4566,] -0.250405171 -0.2579957830
## [4567,]  3.289511865  3.3060967518
## [4568,]  2.520750737  2.5320854494
## [4569,]  2.856710355  2.8703394685
## [4570,]  2.104299157  2.1127897562
## [4571,]  3.289511865  3.3060967518
## [4572,]  2.288393080  2.2981409290
## [4573,]  0.615983903  0.6143102062
## [4574,] -0.171799739 -0.1788535231
## [4575,]  2.830927773  2.8443808072
## [4576,]  1.258819128  1.2615356081
## [4577,]  1.636125203  1.6414184559
## [4578,]  0.787186535  0.7866820484
## [4579,]  2.507073392  2.5183146962
## [4580,]  0.144194099  0.1392983620
## [4581,]  2.856710355  2.8703394685
## [4582,]  1.851818509  1.8585848172
## [4583,]  2.104299157  2.1127897562
## [4584,]  1.078655477  1.0801415483
## [4585,] -0.784922110 -0.4314756168
## [4586,] -1.413765568 -1.2104887100
## [4587,]  0.268390682  0.2643431327
## [4588,] -0.643432332 -0.6537070828
## [4589,]  0.912955226  0.9133096643
## [4590,]  0.677138930  0.6758828845
## [4591,]  3.289511865  3.3060967518
## [4592,]  2.288393080  2.2981409290
## [4593,] -1.696745124 -1.6208413279
## [4594,] -0.549105813 -0.5587363708
## [4595,]  1.038723918  1.0399372802
## [4596,]  0.535649152  0.5334268165
## [4597,]  0.787186535  0.7866820484
## [4598,] -0.077473220 -0.0838828111
## [4599,]  1.573240857  1.5781046479
## [4600,]  0.262102247  0.2580117519
## [4601,]  2.107757796  2.1162720156
## [4602,]  1.211655869  1.2140502521
## [4603,]  0.865791967  0.8658243083
## [4604,]  0.158343077  0.1535439688
## [4605,]  0.651985191  0.6505573613
## [4606,] -0.351020124 -0.3592978758
## [4607,]  1.136194654  1.1380736826
## [4608,] -0.218962998 -0.2263388790
## [4609,]  0.651985191  0.6505573613
## [4610,] -0.351020124 -0.3592978758
## [4611,]  1.258819128  1.2615356081
## [4612,]  0.394159374  0.3909707486
## [4613,] -0.162367087 -0.1693564519
## [4614,] -1.009733646 -1.0225100142
## [4615,] -0.863527542 -0.8753054107
## [4616,] -1.256554704 -1.2710167104
## [4617,]  1.699009549  1.7047322639
## [4618,]  0.331275028  0.3276569407
## [4619,]  0.857931424  0.8579100823
## [4620,] -0.369885428 -0.3782920181
## [4621,] -0.989296234 -1.0019330266
## [4622,] -1.209391444 -1.2235313545
## [4623,] -2.042609026 -2.0624393100
## [4624,]  2.359295180  2.3695272475
## [4625,] -0.942132975 -0.6262288901
## [4626,] -1.649581865 -1.5026186200
## [4627,]  1.305353544  1.3083878260
## [4628,]  0.030059011  0.0243838005
## [4629,]  0.207895941  0.2034352494
## [4630,] -0.647079624 -0.6573792836
## [4631,]  3.459771231  3.4775188868
## [4632,]  1.494635425  1.4989623880
## [4633,]  2.123478883  2.1321004676
## [4634,]  0.691287907  0.6901284912
## [4635,]  1.416029993  1.4198201280
## [4636,]  0.208650553  0.2041950151
## [4637,]  1.133050437  1.1349079922
## [4638,]  0.260530139  0.2564289067
## [4639,]  1.416029993  1.4198201280
## [4640,]  0.208650553  0.2041950151
## [4641,]  3.066744070  3.0818075871
## [4642,]  1.332708234  1.3359293325
## [4643,] -0.784922110 -0.7961631507
## [4644,] -1.728187297 -1.7458702702
## [4645,]  1.205367434  1.2077188713
## [4646,] -0.154506544 -0.1614422259
## [4647,]  1.431751079  1.4356485800
## [4648,]  0.079737645  0.0744017088
## [4649,]  0.944397399  0.9449665683
## [4650,] -0.942132975 -0.9544476706
## [4651,] -1.492371000 -1.4390832137
## [4652,] -0.942132975 -0.9544476706
## [4653,] -1.036459493 -1.0494183826
## [4654,]  0.158343077  0.1535439688
## [4655,] -0.156078652 -0.1630250711
## [4656,]  1.122045676  1.1238280758
## [4657,] -0.038170504 -0.0443116811
## [4658,]  0.857931424  0.8579100823
## [4659,] -0.313289517 -0.3213095910
## [4660,]  0.944397399  0.9449665683
## [4661,]  0.158343077  0.1535439688
## [4662,]  0.857931424  0.8579100823
## [4663,] -0.121492262 -0.1282024767
## [4664,]  0.576523976  0.5745807917
## [4665,] -0.473644598 -0.4827598013
## [4666,]  0.661417843  0.6600544325
## [4667,]  0.016853299  0.0110879008
## [4668,]  0.551370238  0.5492552685
## [4669,] -1.105632274 -1.1190635713
## [4670,]  0.299832855  0.2960000367
## [4671,] -0.324294277 -0.3323895074
## [4672,]  0.857931424  0.8579100823
## [4673,] -0.121492262 -0.1282024767
## [4674,]  1.573240857  1.5781046479
## [4675,] -0.313289517 -0.3213095910
## [4676,]  0.944397399  0.9449665683
## [4677,]  0.315553941  0.3118284887
## [4678,]  1.122045676  1.1238280758
## [4679,] -0.038170504 -0.0443116811
## [4680,]  0.626045399  0.6244404155
## [4681,] -0.295996322 -0.3038982938
## [4682,]  2.351434636  2.3616130215
## [4683,]  1.496207534  1.5005452332
## [4684,] -0.344731690 -0.3529664950
## [4685,] -1.075762209 -1.0889895125
## [4686,] -1.099343839 -1.1127321905
## [4687,] -1.531673716 -1.5480146203
## [4688,]  3.459771231  3.4775188868
## [4689,]  0.787186535  0.7866820484
## [4690,] -1.225112531 -1.2393598064
## [4691,] -1.413765568 -1.4293012303
## [4692,]  0.472764806  0.4701130086
## [4693,] -0.156078652 -0.1630250711
## [4694,] -0.879248629 -0.8911338626
## [4695,] -1.069473775 -1.0826581317
## [4696,]  0.944397399  0.9449665683
## [4697,]  0.144036888  0.1391400774
## [4698,]  0.944397399  0.9449665683
## [4699,]  0.394159374  0.3909707486
## [4700,] -0.501942554 -0.5112510149
## [4701,] -0.872960194 -0.8848024818
## [4702,]  0.001132212 -0.0047405512
## [4703,] -0.942132975 -0.9544476706
## [4704,]  0.629975670  0.6283975285
## [4705,] -0.391894949 -0.4004518509
## [4706,] -0.313258074 -0.3212779341
## [4707,] -1.226558871 -1.2408160240
## [4708,] -1.099343839 -1.1127321905
## [4709,] -1.413765568 -1.4293012303
## [4710,]  0.276251225  0.2722573587
## [4711,] -0.682735048 -0.6932782128
## [4712,]  0.831205577  0.8310017140
## [4713,] -0.717321438 -0.7281008071
## [4714,] -0.454779295 -1.0836394958
## [4715,] -1.413765568 -1.4293012303
## [4716,]  0.565519216  0.5635008753
## [4717,] -0.324294277 -0.3323895074
## [4718,]  0.001132212 -0.0047405512
## [4719,] -0.627711246 -0.6378786308
## [4720,]  1.258819128  1.2615356081
## [4721,]  0.394159374  0.3909707486
## [4722,]  0.787186535  0.7866820484
## [4723,]  0.315553941  0.3118284887
## [4724,]  0.394159374  0.3909707486
## [4725,]  0.158343077  0.1535439688
## [4726,]  1.651846289  1.6572469079
## [4727,]  0.158343077  0.1535439688
## [4728,] -0.517820851 -0.5272377514
## [4729,] -1.053438267 -1.0665131107
## [4730,] -0.454779295 -0.4637656589
## [4731,] -1.130786012 -1.1443890945
## [4732,]  0.142621990  0.1377155168
## [4733,] -0.706316678 -0.7170208907
## [4734,]  2.507073392  2.5183146962
## [4735,]  0.144194099  0.1392983620
## [4736,]  0.079737645  0.0744017088
## [4737,] -0.753479937 -0.7645062467
## [4738,]  3.522655577  3.5408326948
## [4739,]  0.747883819  0.7471109184
## [4740,]  1.730451722  1.7363891678
## [4741,] -0.218962998 -0.2263388790
## [4742,]  1.416029993  1.4198201280
## [4743,]  0.582812411  0.5809121725
## [4744,] -2.042609026 -2.0624393100
## [4745,]  0.944397399  0.9449665683
## [4746,]  0.629975670  0.6283975285
## [4747,] -0.863527542 -0.8753054107
## [4748,] -1.256554704 -1.2710167104
## [4749,]  0.708581102  0.7075397884
## [4750,] -0.486221468 -0.4954225629
## [4751,]  1.038723918  1.0399372802
## [4752,]  0.535649152  0.5334268165
## [4753,]  0.787186535  0.7866820484
## [4754,]  0.158343077  0.1535439688
## [4755,] -1.099343839 -1.1127321905
## [4756,] -1.256554704 -1.2710167104
## [4757,]  0.551370238  0.5492552685
## [4758,] -1.105632274 -1.1190635713
## [4759,] -1.413765568 -1.2104887100
## [4760,] -1.570976433 -1.4052419833
## [4761,]  1.831852729  1.8384826832
## [4762,]  0.436606307  0.4337075690
## [4763,]  1.494635425  1.4989623880
## [4764,]  0.551370238  0.5492552685
## [4765,]  1.533938141  1.5385335180
## [4766,]  0.350140331  0.3466510830
## [4767,]  1.136194654  1.1380736826
## [4768,] -0.218962998 -0.2263388790
## [4769,] -1.481051818 -1.4970470049
## [4770,] -1.559971672 -1.5765058339
## [4771,] -1.476649914 -1.4926150383
## [4772,]  3.459771231  3.4775188868
## [4773,]  0.787186535  0.7866820484
## [4774,]  0.724302189  0.7233682404
## [4775,] -0.454779295 -0.4637656589
## [4776,]  0.831205577  0.8310017140
## [4777,] -0.717321438 -0.7281008071
## [4778,] -0.234684084 -0.2421673310
## [4779,] -0.549105813 -0.5587363708
## [4780,]  2.390737352  2.4011841515
## [4781,]  0.614254584  0.6125690765
## [4782,] -1.335160136 -1.3501589704
## [4783,] -1.492371000 -1.5084434903
## [4784,]  1.101608264  1.1032510882
## [4785,]  0.315553941  0.3118284887
## [4786,]  0.551370238  0.5492552685
## [4787,] -1.105632274 -1.1190635713
## [4788,] -0.627711246 -0.6378786308
## [4789,] -1.177949271 -1.1918744505
## [4790,]  0.001132212 -0.0047405512
## [4791,] -0.894969715 -0.9069623146
## [4792,]  0.629975670  0.6283975285
## [4793,]  0.787186535 -1.6419564828
## [4794,]  0.857931424  0.8579100823
## [4795,] -0.121492262 -0.1282024767
## [4796,]  0.857931424  0.8579100823
## [4797,] -0.369885428 -0.3782920181
## [4798,]  1.038723918  1.0399372802
## [4799,]  0.535649152  0.5334268165
## [4800,] -0.162367087 -0.1693564519
## [4801,] -1.009733646 -1.0225100142
## [4802,] -0.784922110 -0.7961631507
## [4803,] -0.332940875 -0.3410951560
## [4804,] -1.109562545 -1.1230206843
## [4805,] -1.413765568 -1.2104887100
## [4806,] -1.492371000 -1.3078653467
## [4807,]  0.565519216  0.5635008753
## [4808,] -0.324294277 -0.3323895074
## [4809,]  0.378438287  0.3751422966
## [4810,] -0.250405171 -0.2579957830
## [4811,]  0.079737645  0.0744017088
## [4812,] -0.391894949 -0.4004518509
## [4813,]  0.551370238  0.5492552685
## [4814,] -1.105632274 -1.1190635713
## [4815,]  0.699148451  0.6980427172
## [4816,] -0.278828895 -0.2866136242
## [4817,]  1.941114280  1.9484904245
## [4818,]  0.507351196  0.5049356030
## [4819,]  0.236948509  0.2326862287
## [4820,] -0.116775936 -0.1234539411
## [4821,]  1.001842249  1.0028037319
## [4822,] -0.117782086 -0.1244669620
## [4823,] -0.404000185 -0.4126397590
## [4824,] -1.277982544 -1.2925908905
## [4825,]  0.850070881  0.8499958564
## [4826,]  0.181924706  0.1772866467
## [4827,]  0.857931424  0.8579100823
## [4828,] -0.121492262 -0.1282024767
## [4829,]  0.565519216  0.5635008753
## [4830,] -0.324294277 -0.3323895074
## [4831,]  0.787186535  0.7866820484
## [4832,] -0.784922110 -0.7961631507
## [4833,]  1.730451722  1.7363891678
## [4834,] -0.218962998 -0.2263388790
## [4835,]  0.394159374  0.3909707486
## [4836,] -0.018519146 -0.0245261161
## [4837,]  1.205367434  1.2077188713
## [4838,] -0.154506544 -0.1614422259
## [4839,] -0.234684084 -0.2421673310
## [4840,] -0.863527542 -0.8753054107
## [4841,]  2.165925816  2.1748372880
## [4842,] -0.030309961 -0.0363974551
## [4843,]  1.215428930  1.2178490806
## [4844,]  0.749455927  0.7486937636
## [4845,]  0.174064163  0.1693724207
## [4846,] -0.156078652 -0.1630250711
## [4847,]  1.117329350  1.1190795402
## [4848,]  0.551370238  0.5492552685
## [4849,]  0.944397399  0.9449665683
## [4850,]  0.449183176  0.4463703306
## [4851,]  0.472764806  0.4701130086
## [4852,]  0.001132212 -0.0047405512
## [4853,] -0.060180025 -0.0664715139
## [4854,] -0.589980638 -0.5998903460
## [4855,]  0.158343077  0.1535439688
## [4856,] -0.156078652 -0.1630250711
## [4857,] -1.256554704 -1.0157354367
## [4858,] -1.335160136 -1.1131120734
## [4859,]  2.856710355  2.8703394685
## [4860,]  1.851818509  1.8585848172
## [4861,]  2.123478883  2.1321004676
## [4862,]  0.865791967  0.8658243083
## [4863,] -0.942132975 -0.9544476706
## [4864,] -0.464998001 -0.4740541527
## [4865,] -1.187381923 -1.2013715217
## [4866,] -0.061752133 -0.0680543591
## [4867,] -0.879248629 -0.8911338626
## [4868,]  1.375155168  1.3786661529
## [4869,]  0.130045121  0.1250527552
## [4870,]  1.180213696  1.1823933482
## [4871,]  0.101747166  0.0965615416
## [4872,]  0.661417843  0.6600544325
## [4873,]  0.221227423  0.2168577767
## [4874,]  0.001132212 -0.0047405512
## [4875,] -0.140357566 -0.1471966191
## [4876,]  1.730451722  1.7363891678
## [4877,] -0.218962998 -0.2263388790
## [4878,]  2.507073392  2.5183146962
## [4879,]  0.144194099  0.1392983620
## [4880,]  1.840499327  1.8471883318
## [4881,]  0.865791967  0.8658243083
## [4882,] -0.044458938 -0.0506430619
## [4883,] -0.931128214 -0.9433677542
## [4884,] -0.549105813 -0.5587363708
## [4885,] -1.225112531 -1.2393598064
## [4886,]  0.299832855  0.2960000367
## [4887,] -0.618278594 -0.6283815596
## [4888,] -1.492371000 -1.3078653467
## [4889,] -1.492371000 -1.3078653467
## [4890,]  0.551370238  0.5492552685
## [4891,] -1.105632274 -1.1190635713
## [4892,]  0.236948509  0.2326862287
## [4893,] -0.140357566 -0.1471966191
## [4894,] -0.093194306  0.4254292886
## [4895,]  1.416029993  1.4198201280
## [4896,] -0.124636479 -0.1313681671
## [4897,]  0.472764806  0.4701130086
## [4898,] -0.706316678 -0.7170208907
## [4899,] -1.099343839 -1.1127321905
## [4900,] -1.413765568 -1.4293012303
## [4901,]  1.856220413  1.8630167838
## [4902,]  0.472764806  0.4701130086
## [4903,] -0.083321464 -0.0897709952
## [4904,] -0.538069611 -0.5476247975
## [4905,] -0.093194306 -0.0997112631
## [4906,] -0.281847344 -0.2896526870
## [4907,] -0.684307157 -0.6948610580
## [4908,] -1.071045883 -1.0842409769
## [4909,] -0.247260954 -0.2548300926
## [4910,] -0.734614633 -0.7455121043
## [4911,] -0.627711246 -0.6378786308
## [4912,] -0.887109172 -0.8990480886
## [4913,]  0.916099444  0.9164753547
## [4914,]  0.019997516  0.0142535912
## [4915,]  1.416029993  1.4198201280
## [4916,]  0.472764806  0.4701130086
## [4917,]  1.887662586  1.8946736878
## [4918,]  1.101608264  1.1032510882
## [4919,]  0.700720559  0.6996255624
## [4920,] -0.541245270 -0.5508221448
## [4921,]  1.180213696  1.1823933482
## [4922,]  0.101747166  0.0965615416
## [4923,] -0.156078652 -0.1630250711
## [4924,] -0.784922110 -0.7961631507
## [4925,]  0.686571581  0.6853799556
## [4926,] -0.475216707 -0.4843426465
## [4927,]  1.180213696  1.1823933482
## [4928,]  0.771465448  0.7708535964
## [4929,] -1.570976433 -1.5875857502
## [4930,] -1.728187297 -1.7458702702
## [4931,]  0.565519216  0.5635008753
## [4932,] -0.324294277 -0.3323895074
## [4933,] -0.470500381 -0.4795941109
## [4934,] -0.863527542 -0.8753054107
## [4935,] -1.099343839 -0.8209821634
## [4936,] -1.649581865 -1.5026186200
## [4937,]  1.180213696  1.1823933482
## [4938,]  0.101747166  0.0965615416
## [4939,]  2.752322341  3.9504730323
## [4940,] -1.759629470 -1.7296144500
## [4941,]  0.079737645  0.0744017088
## [4942,] -0.784922110 -0.7961631507
## [4943,] -1.020738407 -1.0335899306
## [4944,] -1.335160136 -1.3501589704
## [4945,]  2.046445559  2.0545410529
## [4946,]  0.285683877  0.2817544299
## [4947,]  0.787186535  0.7866820484
## [4948,] -0.470500381 -0.4795941109
## [4949,]  0.551370238  0.5492552685
## [4950,] -1.105632274 -1.1190635713
## [4951,] -0.013960031 -0.0199358651
## [4952,] -0.566399008 -0.5761476680
## [4953,]  1.416029993  1.4198201280
## [4954,]  0.472764806  0.4701130086
## [4955,]  0.236948509  0.2326862287
## [4956,] -0.077473220 -0.0838828111
## [4957,]  0.236948509  0.2326862287
## [4958,] -0.077473220 -0.0838828111
## [4959,]  1.957621421  1.9651102991
## [4960,]  0.780898100  0.7803506676
## [4961,] -1.044320037 -1.0573326085
## [4962,] -1.531673716 -1.5480146203
## [4963,] -0.156078652 -0.1630250711
## [4964,] -1.154367642 -1.1681317725
## [4965,] -1.649581865 -1.6099830098
## [4966,] -1.791071643 -1.7637880778
## [4967,]  2.453621698  2.4644979594
## [4968,]  0.850070881  0.8499958564
## [4969,]  0.857931424  0.8579100823
## [4970,] -0.121492262 -0.1282024767
## [4971,]  0.565519216  0.5635008753
## [4972,] -0.324294277 -0.3323895074
## [4973,] -0.218962998 -0.2263388790
## [4974,] -0.722037764 -0.7328493427
## [4975,] -0.549105813 -0.5587363708
## [4976,] -1.075762209 -1.0889895125
## [4977,]  2.044873451  2.0529582077
## [4978,]  1.573240857  1.5781046479
## [4979,]  0.472764806  0.4701130086
## [4980,] -0.784922110 -0.7961631507
## [4981,] -1.256554704 -1.2710167104
## [4982,] -0.784922110 -0.7961631507
## [4983,] -1.256554704 -1.2710167104
## [4984,]  1.416029993  1.4198201280
## [4985,]  0.111179817  0.1060586128
## [4986,]  1.136194654  1.1380736826
## [4987,] -0.218962998 -0.2263388790
## [4988,]  0.857931424  0.8579100823
## [4989,] -0.121492262 -0.1282024767
## [4990,] -0.145073892 -0.1519451547
## [4991,] -0.633999680 -0.6442100116
## [4992,]  2.013431278  2.0213013037
## [4993,]  0.362717201  0.3593138446
## [4994,] -0.627711246 -0.6378786308
## [4995,] -0.863527542 -0.8753054107
## [4996,]  2.437900612  2.4486695074
## [4997,]  0.158343077  0.1535439688
## [4998,]  0.394159374  0.3909707486
## [4999,] -0.391894949 -0.4004518509
## [5000,]  0.079737645  0.0744017088
## [5001,] -0.470500381 -0.4795941109
## [5002,] -1.020738407 -1.0335899306
## [5003,] -1.099343839 -1.1127321905
## [5004,] -1.979724680 -1.9991255020
## [5005,]  0.243236944  0.2390176095
## [5006,] -0.355736450 -0.3640464113
## [5007,]  1.730451722  1.7363891678
## [5008,] -0.218962998 -0.2263388790
## [5009,]  1.714730635  1.7205607159
## [5010,] -0.175730010 -0.1828106361
## [5011,]  0.565519216  0.5635008753
## [5012,] -0.324294277 -0.3323895074
## [5013,]  1.941114280  1.9484904245
## [5014,]  0.507351196  0.5049356030
## [5015,]  0.661417843  0.6600544325
## [5016,]  0.441322633  0.4384561046
## [5017,]  1.070166091  1.0715941842
## [5018,] -1.020738407 -1.0335899306
## [5019,] -0.281847344 -0.2896526870
## [5020,] -1.232973074 -1.2472740324
## [5021,]  1.604683030  1.6097615519
## [5022,] -0.329010603 -0.3371380430
## [5023,]  1.023788886  1.0249002509
## [5024,] -0.578975878 -0.5888104296
## [5025,]  1.730451722  1.7363891678
## [5026,] -0.218962998 -0.2263388790
## [5027,]  1.070166091  1.0715941842
## [5028,] -1.020738407 -1.0335899306
## [5029,] -0.313289517 -0.3213095910
## [5030,] -1.020738407 -1.0335899306
## [5031,]  1.573240857  1.5781046479
## [5032,]  0.787186535  0.7866820484
## [5033,]  1.101608264  1.1032510882
## [5034,]  0.315553941  0.3118284887
## [5035,] -0.077473220 -0.0838828111
## [5036,] -0.549105813 -0.5587363708
## [5037,]  0.535649152  0.5334268165
## [5038,] -0.423337122 -0.4321087549
## [5039,] -1.177949271 -1.1918744505
## [5040,] -1.335160136 -1.3501589704
## [5041,]  0.290400203  0.2865029655
## [5042,] -0.931128214 -0.9433677542
## [5043,]  0.565519216  0.5635008753
## [5044,] -0.324294277 -0.3323895074
## [5045,]  1.699009549  1.7047322639
## [5046,]  0.629975670  0.6283975285
## [5047,]  0.299832855  0.2960000367
## [5048,] -0.618278594 -0.6283815596
## [5049,] -1.099343839 -1.1127321905
## [5050,] -1.256554704 -1.2710167104
## [5051,] -0.211023849 -0.2183455108
## [5052,] -0.770851738 -0.7819966862
## [5053,]  0.787186535  0.7866820484
## [5054,]  0.001132212 -0.0047405512
## [5055,]  0.831205577  0.8310017140
## [5056,] -0.717321438 -0.7281008071
## [5057,]  1.970984344  1.9785644833
## [5058,]  0.527788608  0.5255125905
## [5059,]  0.290400203  0.2865029655
## [5060,] -0.703172461 -0.7138552003
## [5061,]  1.416029993  1.4198201280
## [5062,]  0.001132212 -0.0047405512
## [5063,] -0.313289517 -0.3213095910
## [5064,] -0.470500381 -0.4795941109
## [5065,] -0.894969715 -0.9069623146
## [5066,]  1.543370793  1.5480305892
## [5067,] -0.063324242 -0.0696372043
## [5068,]  0.425601546  0.4226276526
## [5069,] -0.501942554 -0.5112510149
## [5070,] -0.464998001 -0.4740541527
## [5071,] -1.187381923 -1.2013715217
## [5072,]  0.629975670  0.6283975285
## [5073,] -0.470500381 -0.4795941109
## [5074,]  1.375155168  1.3786661529
## [5075,] -0.268169999 -0.2758819338
## [5076,]  1.543370793  1.5480305892
## [5077,] -0.063324242 -0.0696372043
## [5078,]  0.315553941  0.3118284887
## [5079,] -0.391894949 -0.4004518509
## [5080,] -0.706316678 -0.7170208907
## [5081,] -0.942132975 -0.9544476706
## [5082,]  2.627654125  2.6397189230
## [5083,]  0.327030334  0.3233832586
## [5084,]  0.315553941  0.3118284887
## [5085,] -0.391894949 -0.4004518509
## [5086,]  0.137905664  0.1329669812
## [5087,] -0.409093817 -0.4177681774
## [5088,]  1.136194654  1.1380736826
## [5089,] -0.218962998 -0.2263388790
## [5090,]  0.252669595  0.2485146807
## [5091,] -0.344731690 -0.3529664950
## [5092,] -1.177949271 -1.0972836214
## [5093,] -1.382323395 -1.3194517735
## [5094,]  2.885951576  2.8997803892
## [5095,]  0.480625349  0.4780272346
## [5096,]  1.461951286  1.4660550363
## [5097,]  0.316261390  0.3125407690
## [5098,]  1.543370793  1.5480305892
## [5099,] -0.063324242 -0.0696372043
## [5100,] -1.177949271 -0.9183588001
## [5101,] -1.382323395 -1.1715507181
## [5102,]  1.180213696  1.1823933482
## [5103,]  0.101747166  0.0965615416
## [5104,]  1.689576897  1.6952351927
## [5105,]  0.953830051  0.9544636395
## [5106,] -1.335160136 -1.3501589704
## [5107,] -1.570976433 -1.5875857502
## [5108,]  2.249247574  2.2587280835
## [5109,]  0.472764806  0.4701130086
## [5110,]  1.730451722  1.7363891678
## [5111,]  0.661417843  0.6600544325
## [5112,]  0.315553941  0.3118284887
## [5113,] -0.391894949 -0.4004518509
## [5114,] -0.800643197 -0.8119916027
## [5115,] -0.313289517 -0.3213095910
## [5116,] -0.784922110 -0.7961631507
## [5117,]  1.305982388  1.3090209641
## [5118,]  0.252669595  0.2485146807
## [5119,]  0.552942347  0.5508381137
## [5120,] -0.351020124 -0.3592978758
## [5121,] -0.706316678 -0.7170208907
## [5122,] -1.099343839 -1.1127321905
## [5123,]  0.158343077  0.1535439688
## [5124,] -1.492371000 -1.5084434903
## [5125,]  1.431751079  1.4356485800
## [5126,]  0.205506336  0.2010293247
## [5127,] -0.470500381 -0.4795941109
## [5128,] -0.942132975 -0.9544476706
## [5129,]  1.070166091  1.0715941842
## [5130,] -0.501942554 -0.5112510149
## [5131,]  0.944397399  0.9449665683
## [5132,]  0.284111768  0.2801715847
## [5133,]  2.532227130  2.5436402194
## [5134,]  0.198274636  0.1937482368
## [5135,] -1.696745124 -1.5610572647
## [5136,] -1.806792729 -1.6973718933
## [5137,]  1.710800364  1.7166036029
## [5138,]  0.551370238  0.5492552685
## [5139,]  1.180213696  1.1823933482
## [5140,] -0.077473220 -0.0838828111
## [5141,]  1.205367434  1.2077188713
## [5142,] -0.154506544 -0.1614422259
## [5143,] -1.649581865 -1.6099830098
## [5144,] -1.791071643 -1.7637880778
## [5145,]  0.629975670  0.6283975285
## [5146,]  0.236948509  0.2326862287
## [5147,]  0.394159374  0.3909707486
## [5148,]  0.158343077  0.1535439688
## [5149,]  1.533938141  1.5385335180
## [5150,]  0.350140331  0.3466510830
## [5151,]  1.533938141  1.5385335180
## [5152,]  0.350140331  0.3466510830
## [5153,]  0.057728124  0.0522418760
## [5154,] -0.678018722 -0.6885296772
## [5155,] -0.156078652 -0.1630250711
## [5156,] -1.154367642 -1.1681317725
## [5157,]  0.517569902  0.5152240967
## [5158,] -0.580547986 -0.5903932748
## [5159,]  0.001132212 -0.0047405512
## [5160,] -0.470500381 -0.4795941109
## [5161,] -0.706316678 -0.7170208907
## [5162,] -0.863527542 -0.8753054107
## [5163,]  2.453621698  2.4644979594
## [5164,]  0.850070881  0.8499958564
## [5165,]  0.158343077  0.1535439688
## [5166,] -0.234684084 -0.2421673310
## [5167,] -1.020738407 -0.7236055268
## [5168,] -1.177949271 -0.9183588001
## [5169,] -0.376173862 -0.3846233989
## [5170,] -0.998728886 -1.0114300978
## [5171,]  1.302209327  1.3052221356
## [5172,]  0.304234759  0.3004320032
## [5173,] -0.218962998 -0.2263388790
## [5174,] -0.722037764 -0.7328493427
## [5175,]  0.565519216  0.5635008753
## [5176,] -0.324294277 -0.3323895074
## [5177,]  0.284111768  0.2801715847
## [5178,] -0.313289517 -0.3213095910
## [5179,]  0.565519216  0.5635008753
## [5180,] -0.324294277 -0.3323895074
## [5181,]  0.197645793  0.1931150987
## [5182,] -0.313289517 -0.3213095910
## [5183,]  1.421532373  1.4253600862
## [5184,]  0.391015156  0.3878050582
## [5185,]  1.533938141  1.5385335180
## [5186,]  0.350140331  0.3466510830
## [5187,]  0.064016558  0.0585732568
## [5188,] -0.533384727 -0.5429079188
## [5189,]  0.284111768  0.2801715847
## [5190,] -0.313289517 -0.3213095910
## [5191,]  0.057728124  0.0522418760
## [5192,] -0.667013962 -0.6774497608
## [5193,] -0.877676520 -0.8895510174
## [5194,] -1.218824096 -1.2330284256
## [5195,]  0.441322633  0.4384561046
## [5196,]  0.032574385  0.0269163528
## [5197,]  0.661417843  0.6600544325
## [5198,]  0.221227423  0.2168577767
## [5199,]  1.309126605  1.3121866545
## [5200,] -0.156078652 -0.1630250711
## [5201,]  0.692860016  0.6917113364
## [5202,]  0.174064163  0.1693724207
## [5203,]  1.180213696  1.1823933482
## [5204,]  0.101747166  0.0965615416
## [5205,]  0.944397399  0.9449665683
## [5206,]  0.158343077  0.1535439688
## [5207,]  0.057728124  0.0522418760
## [5208,] -0.667013962 -0.6774497608
## [5209,]  0.565519216  0.5635008753
## [5210,] -0.324294277 -0.3323895074
## [5211,] -0.077473220 -0.0838828111
## [5212,] -0.470500381 -0.4795941109
## [5213,]  0.881513053  0.8816527603
## [5214,] -0.313289517 -0.3213095910
## [5215,]  0.057728124  0.0522418760
## [5216,] -0.667013962 -0.6774497608
## [5217,] -0.060180025 -0.0664715139
## [5218,] -0.589980638 -0.5998903460
## [5219,]  1.431751079  1.4356485800
## [5220,]  0.079737645  0.0744017088
## [5221,]  0.700720559  0.6996255624
## [5222,] -0.541245270 -0.5508221448
## [5223,] -0.627711246 -0.6378786308
## [5224,] -1.256554704 -1.2710167104
## [5225,]  0.771465448  0.7708535964
## [5226,] -0.077473220 -0.0838828111
## [5227,]  0.787186535  0.7866820484
## [5228,]  0.315553941  0.3118284887
## [5229,]  0.003018743 -0.0028411369
## [5230,] -0.468991157 -0.4780745795
## [5231,]  1.620404116  1.6255900039
## [5232,]  0.284111768  0.2801715847
## [5233,]  0.787186535  0.7866820484
## [5234,]  0.315553941  0.3118284887
## [5235,]  0.565519216  0.5635008753
## [5236,] -0.324294277 -0.3323895074
## [5237,]  0.450755285  0.4479531758
## [5238,] -0.110801923 -0.1174391293
## [5239,]  1.651846289  1.6572469079
## [5240,]  0.299832855  0.2960000367
## [5241,]  0.079737645  0.0744017088
## [5242,] -0.784922110 -0.7961631507
## [5243,]  0.023298944  0.0175775662
## [5244,] -0.090050089 -0.0965455727
## [5245,]  0.023298944  0.0175775662
## [5246,] -0.543446222 -0.5530381281
## [5247,]  1.604683030  1.6097615519
## [5248,] -0.329010603 -0.3371380430
## [5249,]  0.679811514  0.6785737213
## [5250,] -0.525838605 -0.5353102619
## [5251,]  1.573240857  1.5781046479
## [5252,] -0.391894949 -0.4004518509
## [5253,] -0.061752133 -0.0680543591
## [5254,] -0.879248629 -0.8911338626
## [5255,]  0.787186535  1.5160571161
## [5256,]  0.236948509  0.8344206596
## [5257,] -0.627711246 -0.2367223435
## [5258,] -0.942132975 -0.6262288901
## [5259,]  1.730451722  1.7363891678
## [5260,] -0.218962998 -0.2263388790
## [5261,]  2.823067230  2.8364665812
## [5262,]  1.881374152  1.8883423070
## [5263,]  1.581101400  1.5860188739
## [5264,]  0.150482534  0.1456297428
## [5265,] -0.549105813 -0.5587363708
## [5266,] -0.706316678 -0.7170208907
## [5267,]  1.573240857  1.5781046479
## [5268,]  0.315553941  0.3118284887
## [5269,]  0.768321231  0.7676879060
## [5270,] -0.703172461 -0.7138552003
## [5271,] -0.878698391 -0.8905798668
## [5272,] -1.446465428 -1.4622244105
## [5273,]  1.136194654  1.1380736826
## [5274,] -0.218962998 -0.2263388790
## [5275,] -0.571115334 -0.5808962036
## [5276,] -1.413765568 -1.4293012303
## [5277,]  0.001132212 -0.0047405512
## [5278,] -0.313289517 -0.3213095910
## [5279,]  1.667567376  1.6730753599
## [5280,]  0.158343077  0.1535439688
## [5281,]  0.472764806  0.4701130086
## [5282,]  0.236948509  0.2326862287
## [5283,] -0.533384727 -0.5429079188
## [5284,] -1.130786012 -1.1443890945
## [5285,]  1.494635425  1.4989623880
## [5286,]  0.944397399  0.9449665683
## [5287,] -0.534422319 -0.5439525967
## [5288,] -1.073152509 -1.0863619895
## [5289,]  2.095180927  2.1036092540
## [5290,]  0.611110367  0.6094033861
## [5291,]  1.101608264  1.1032510882
## [5292,]  0.001132212 -0.0047405512
## [5293,]  0.661417843  0.6600544325
## [5294,]  0.221227423  0.2168577767
## [5295,] -1.791071643 -1.8091840781
## [5296,]  0.875853462  0.8759545176
## [5297,] -0.115203827 -0.1218710959
## [5298,]  0.680283147  0.6790485749
## [5299,]  0.101747166  0.0965615416
## [5300,]  0.724302189  0.7233682404
## [5301,] -0.454779295 -0.4637656589
## [5302,] -1.225112531 -1.2393598064
## [5303,] -1.602418605 -1.6192426542
## [5304,]  0.236948509  0.2326862287
## [5305,] -0.277131018 -0.2849041514
## [5306,]  1.478914338  1.4831339360
## [5307,]  0.740023275  0.7391966924
## [5308,]  2.799485600  2.8127239032
## [5309,]  0.960118486  0.9607950203
## [5310,]  1.368866733  1.3723347721
## [5311,]  0.809982110  0.8096333038
## [5312,]  1.243098042  1.2457071561
## [5313,]  0.881513053  0.8816527603
## [5314,]  1.274540215  1.2773640601
## [5315,] -0.250405171 -0.2579957830
## [5316,]  0.531718880  0.5294697035
## [5317,]  0.243236944  0.2390176095
## [5318,]  0.394159374  0.3909707486
## [5319,] -0.391894949 -0.4004518509
## [5320,]  0.046723363  0.0411619596
## [5321,] -0.506658880 -0.5159995505
## [5322,]  2.136055752  2.1447632292
## [5323,]  0.073449210  0.0680703280
## [5324,]  2.188249759  2.1973136898
## [5325,]  0.667706278  0.6663858133
## [5326,]  0.472733364  0.4700813517
## [5327,] -1.806792729 -1.8250125301
## [5328,]  1.258819128  1.2615356081
## [5329,]  0.252669595  0.2485146807
## [5330,]  1.699009549  1.7047322639
## [5331,]  1.180213696  1.1823933482
## [5332,]  0.101747166  0.0965615416
## [5333,]  0.629975670  0.6283975285
## [5334,]  0.001132212 -0.0047405512
## [5335,]  0.724302189  0.7233682404
## [5336,] -0.454779295 -0.4637656589
## [5337,]  1.085887177  1.0874226362
## [5338,] -0.140357566 -0.1471966191
## [5339,]  1.258819128  1.2615356081
## [5340,]  0.881513053  0.8816527603
## [5341,]  0.661417843  0.6600544325
## [5342,]  0.221227423  0.2168577767
## [5343,]  2.359295180  2.3695272475
## [5344,]  1.730451722  1.7363891678
## [5345,] -0.046031047 -0.0522259071
## [5346,] -0.910690802 -0.9227907666
## [5347,]  0.787186535  0.7866820484
## [5348,] -0.156078652 -0.1630250711
## [5349,] -0.627711246 -0.6378786308
## [5350,] -1.256554704 -1.2710167104
## [5351,]  2.112631333  2.1211788357
## [5352,]  0.049710369  0.0441693655
## [5353,]  1.754033351  1.7601318458
## [5354,] -0.242544628 -0.2500815570
## [5355,] -1.049036362 -1.0620811441
## [5356,]  0.857931424  0.8579100823
## [5357,] -0.121492262 -0.1282024767
## [5358,] -0.077473220 -0.0838828111
## [5359,] -0.690595591 -0.7011924388
## [5360,]  0.629975670  0.6283975285
## [5361,]  0.158343077  0.1535439688
## [5362,]  1.970984344  1.9785644833
## [5363,]  0.527788608  0.5255125905
## [5364,] -0.470500381 -0.0419690702
## [5365,] -0.784922110 -0.4314756168
## [5366,]  0.517569902  0.5152240967
## [5367,] -0.580547986 -0.5903932748
## [5368,]  0.831205577  0.8310017140
## [5369,] -0.717321438 -0.7281008071
## [5370,]  1.023002831  1.0241088283
## [5371,]  0.394159374  0.3909707486
## [5372,]  1.240834205  1.2434278590
## [5373,] -0.084704920 -0.0911638990
## [5374,]  0.197645793  0.1931150987
## [5375,] -0.313289517 -0.3213095910
## [5376,] -0.156078652 -0.1630250711
## [5377,] -0.549105813 -0.5587363708
## [5378,] -0.209530346 -0.2168418078
## [5379,] -0.639030428 -0.6492751162
## [5380,]  1.117329350  1.1190795402
## [5381,]  0.551370238  0.5492552685
## [5382,] -1.036459493 -1.0494183826
## [5383,] -1.413765568 -1.4293012303
## [5384,] -1.413765568 -1.2104887100
## [5385,] -1.570976433 -1.4052419833
## [5386,] -1.256554704 -1.2710167104
## [5387,] -1.413765568 -1.4293012303
## [5388,]  2.060594537  2.0687866597
## [5389,]  0.724302189  0.7233682404
## [5390,] -0.061752133 -0.0680543591
## [5391,] -0.879248629 -0.8911338626
## [5392,] -1.264415247 -1.2789309364
## [5393,] -1.627572344 -1.6445681774
## [5394,]  0.551370238  0.5492552685
## [5395,]  0.001132212 -0.0047405512
## [5396,] -0.077473220 -0.0838828111
## [5397,] -0.549105813 -0.5587363708
## [5398,]  1.636125203  1.6414184559
## [5399,]  0.787186535  0.7866820484
## [5400,]  1.730451722  1.7363891678
## [5401,] -0.218962998 -0.2263388790
## [5402,]  2.060594537  2.0687866597
## [5403,]  0.488485892  0.4859414606
## [5404,]  2.123478883  2.1321004676
## [5405,]  0.944397399  0.9449665683
## [5406,] -1.264022220 -1.2785352251
## [5407,] -1.385467612 -1.4008100168
## [5408,]  0.661417843  0.6600544325
## [5409,]  0.221227423  0.2168577767
## [5410,]  0.441322633  0.4384561046
## [5411,]  0.032574385  0.0269163528
## [5412,]  0.158343077  0.1535439688
## [5413,] -1.728187297 -1.7458702702
## [5414,] -0.391894949 -0.4004518509
## [5415,] -0.863527542 -0.8753054107
## [5416,] -0.313289517 -0.3213095910
## [5417,] -0.627711246 -0.6378786308
## [5418,] -1.649581865 -1.6099830098
## [5419,] -1.791071643 -1.7637880778
## [5420,] -0.077473220 -0.0838828111
## [5421,] -0.470500381 -0.4795941109
## [5422,]  2.095180927  2.1036092540
## [5423,]  0.611110367  0.6094033861
## [5424,]  1.180213696  1.1823933482
## [5425,]  0.284111768  0.2801715847
## [5426,] -0.156078652 -0.1630250711
## [5427,] -0.706316678 -0.7170208907
## [5428,] -0.313273796 -0.3212937625
## [5429,] -1.226574592 -1.2408318525
## [5430,] -0.093194306 -0.0997112631
## [5431,] -1.099343839 -1.1127321905
## [5432,]  0.865791967  0.8658243083
## [5433,]  0.001132212 -0.0047405512
## [5434,]  0.620543018  0.6189004573
## [5435,] -0.286799486 -0.2946386494
## [5436,]  0.857931424  0.8579100823
## [5437,] -0.121492262 -0.1282024767
## [5438,]  0.001132212 -0.0047405512
## [5439,] -0.313289517 -0.3213095910
## [5440,] -0.470500381 -0.4795941109
## [5441,] -0.470500381 -0.4795941109
## [5442,]  0.346996114  0.3434853926
## [5443,] -0.627711246 -0.6378786308
## [5444,]  1.730451722  1.7363891678
## [5445,] -0.218962998 -0.2263388790
## [5446,] -0.627711246 -0.6378786308
## [5447,] -0.942132975 -0.9544476706
## [5448,] -1.413765568 -1.4293012303
## [5449,] -0.706316678 -1.1476972410
## [5450,] -1.649581865 -1.5019538250
## [5451,] -1.460928827 -1.4767865863
## [5452,] -0.470500381 -0.4795941109
## [5453,]  0.290400203  0.2865029655
## [5454,] -0.931128214 -0.9433677542
## [5455,]  0.001132212 -0.0047405512
## [5456,] -0.863527542 -0.8753054107
## [5457,]  0.174064163  0.1693724207
## [5458,] -1.020738407 -1.0335899306
## [5459,]  1.416029993  1.4198201280
## [5460,]  0.115110089  0.1100157258
## [5461,]  1.730451722  1.7363891678
## [5462,] -0.218962998 -0.2263388790
## [5463,]  2.005570734  2.0133870777
## [5464,]  0.881513053  0.8816527603
## [5465,]  0.236948509  0.2326862287
## [5466,]  0.001132212 -0.0047405512
## [5467,]  1.136194654  1.1380736826
## [5468,] -0.218962998 -0.2263388790
## [5469,]  1.361006190  1.3644205461
## [5470,]  0.409880460  0.4067992006
## [5471,]  0.079737645  0.0744017088
## [5472,] -0.470500381 -0.4795941109
## [5473,]  0.359572983  0.3561481542
## [5474,] -0.627711246 -0.6378786308
## [5475,]  1.730451722  1.7363891678
## [5476,] -0.218962998 -0.2263388790
## [5477,]  0.335205299  0.3316140537
## [5478,] -0.568757171 -0.5785219358
## [5479,] -1.413765568 -1.4293012303
## [5480,] -0.784922110 -0.7961631507
## [5481,]  2.359295180  2.7479063923
## [5482,] -0.061752133 -0.0680543591
## [5483,] -1.177949271 -1.1918744505
## [5484,] -0.061752133 -0.0680543591
## [5485,] -1.177949271 -1.1918744505
## [5486,]  0.001132212 -0.0047405512
## [5487,] -0.784922110 -0.7961631507
## [5488,] -1.382323395 -1.3976443264
## [5489,] -1.492371000 -1.5084434903
## [5490,]  0.079737645  0.0744017088
## [5491,] -0.156078652 -0.1630250711
## [5492,] -1.791071643 -1.8091840781
## [5493,]  1.533938141  1.5385335180
## [5494,]  0.350140331  0.3466510830
## [5495,] -0.627711246 -0.6378786308
## [5496,] -1.256554704 -1.2710167104
## [5497,]  1.258819128  1.2615356081
## [5498,] -0.154506544 -0.1614422259
## [5499,]  2.316848246  2.3267904271
## [5500,]  0.758888579  0.7581908348
## [5501,]  0.850070881  0.8499958564
## [5502,]  0.181924706  0.1772866467
## [5503,] -0.093194306 -0.0997112631
## [5504,] -1.146507098 -1.1602175465
## [5505,] -0.981435691 -0.9940188006
## [5506,] -1.374462852 -1.3897301004
## [5507,]  0.158343077  0.1535439688
## [5508,] -0.234684084 -0.2421673310
## [5509,]  1.038723918  1.0399372802
## [5510,]  0.535649152  0.5334268165
## [5511,] -0.942132975 -0.6262288901
## [5512,] -1.649581865 -1.5026186200
## [5513,]  1.620404116  1.6255900039
## [5514,]  0.101747166  0.0965615416
## [5515,]  1.809057154  1.8155314278
## [5516,]  0.787186535  0.7866820484
## [5517,]  1.054445004  1.0557657322
## [5518,]  0.551370238  0.5492552685
## [5519,]  0.430317872  0.4273761882
## [5520,] -0.214246672 -0.2215903434
## [5521,] -1.052180580 -1.0652468345
## [5522,] -1.225112531 -1.2393598064
## [5523,]  0.920029715  0.9204324677
## [5524,]  0.324200539  0.3205341373
## [5525,] -1.225112531 -1.2393598064
## [5526,] -1.413765568 -1.4293012303
## [5527,]  0.787186535  0.7866820484
## [5528,] -0.313289517 -0.3213095910
## [5529,]  0.629975670  0.6283975285
## [5530,]  0.236948509  0.2326862287
## [5531,]  0.236948509  0.2326862287
## [5532,] -0.077473220 -0.0838828111
## [5533,]  1.136194654  1.1380736826
## [5534,] -0.218962998 -0.2263388790
## [5535,]  2.931542726  2.9456828999
## [5536,]  0.817056599  0.8167561072
## [5537,]  0.626045399  0.6244404155
## [5538,] -0.295996322 -0.3038982938
## [5539,]  1.887662586  1.8946736878
## [5540,] -0.863527542 -0.8753054107
## [5541,]  0.315553941  0.3118284887
## [5542,] -0.470500381 -0.4795941109
## [5543,] -0.512947315 -0.5223309313
## [5544,] -1.272275790 -1.2868451624
## [5545,]  0.504206979  0.5017699126
## [5546,] -0.093194306 -0.0997112631
## [5547,]  1.478914338  1.4831339360
## [5548,]  0.787186535  0.7866820484
## [5549,] -0.470500381 -0.4795941109
## [5550,] -0.784922110 -0.7961631507
## [5551,]  1.730451722  1.7363891678
## [5552,]  0.394159374  0.3909707486
## [5553,]  0.629975670  0.6283975285
## [5554,]  0.001132212 -0.0047405512
## [5555,]  0.944397399  0.9449665683
## [5556,]  0.158343077  0.1535439688
## [5557,]  0.944397399  0.9449665683
## [5558,]  0.158343077  0.1535439688
## [5559,]  0.944397399  0.9449665683
## [5560,]  0.158343077  0.1535439688
## [5561,]  0.944397399  0.9449665683
## [5562,]  0.158343077  0.1535439688
## [5563,]  0.944397399  0.9449665683
## [5564,]  0.158343077  0.1535439688
## [5565,]  1.573240857  1.5781046479
## [5566,] -0.784922110 -0.7961631507
## [5567,]  1.180213696  1.1823933482
## [5568,]  0.394159374  0.3909707486
## [5569,]  0.944397399  0.9449665683
## [5570,]  0.158343077  0.1535439688
## [5571,]  0.944397399  0.9449665683
## [5572,]  0.158343077  0.1535439688
## [5573,]  0.944397399  0.9449665683
## [5574,]  0.158343077  0.1535439688
## [5575,]  1.361006190  1.3644205461
## [5576,]  0.409880460  0.4067992006
## [5577,] -0.706316678 -0.7170208907
## [5578,] -0.745619394 -0.7565920207
## [5579,]  3.459771231  3.4775188868
## [5580,]  0.787186535  0.7866820484
## [5581,]  1.730451722  1.7363891678
## [5582,]  1.180213696  1.1823933482
## [5583,]  3.459771231  3.4775188868
## [5584,]  0.787186535  0.7866820484
## [5585,]  0.576523976  0.5745807917
## [5586,] -0.525524184 -0.5349936928
## [5587,] -1.099343839 -1.1127321905
## [5588,] -1.413765568 -1.4293012303
## [5589,]  2.351434636  2.3616130215
## [5590,]  1.496207534  1.5005452332
## [5591,]  1.133050437  1.1349079922
## [5592,] -0.187520825 -0.1946819750
## [5593,]  0.901950466  0.9022297479
## [5594,] -0.011444657 -0.0174033127
## [5595,]  2.233526488  2.2428996316
## [5596,]  0.229087966  0.2247720027
## [5597,]  2.236670705  2.2460653220
## [5598,]  0.229087966  0.2247720027
## [5599,]  0.218083205  0.2136920863
## [5600,] -0.376173862 -0.3846233989
## [5601,]  0.158343077  0.1535439688
## [5602,] -0.470500381 -0.4795941109
## [5603,] -0.156078652 -0.1630250711
## [5604,] -0.470500381 -0.4795941109
## [5605,] -0.470500381 -0.4795941109
## [5606,]  2.044873451  2.0529582077
## [5607,]  0.944397399  0.9449665683
## [5608,]  0.315553941  0.3118284887
## [5609,]  0.001132212 -0.0047405512
## [5610,]  0.787186535  0.7866820484
## [5611,]  0.315553941  0.3118284887
## [5612,]  1.180213696  1.1823933482
## [5613,]  0.394159374  0.3909707486
## [5614,]  0.626045399  0.6244404155
## [5615,] -0.295996322 -0.3038982938
## [5616,] -0.417048687 -0.4257773741
## [5617,] -1.064757449 -1.0779095961
## [5618,] -1.728187297 -1.5999952566
## [5619,] -1.806792729 -1.6973718933
## [5620,]  1.180213696  1.1823933482
## [5621,] -1.570976433 -1.5875857502
## [5622,]  0.186641032  0.1820351823
## [5623,] -0.448490860 -0.4574342781
## [5624,]  2.123478883  2.1321004676
## [5625,]  0.691287907  0.6901284912
## [5626,]  1.416029993  1.4198201280
## [5627,]  0.724302189  0.7233682404
## [5628,]  1.007281745  1.0082803763
## [5629,]  0.221227423  0.2168577767
## [5630,]  0.315553941  0.3118284887
## [5631,]  0.079737645  0.0744017088
## [5632,] -0.391894949 -0.4004518509
## [5633,] -0.816364283 -0.8278200547
## [5634,]  0.771465448  0.7708535964
## [5635,] -0.077473220 -0.0838828111
## [5636,]  1.730451722  1.7363891678
## [5637,]  0.787186535  0.7866820484
## [5638,] -0.784922110 -0.7159762129
## [5639,] -0.942132975 -0.6262288901
## [5640,] -1.256554704 -1.0157354367
## [5641,]  0.565519216  0.5635008753
## [5642,] -0.324294277 -0.3323895074
## [5643,]  0.787186535  0.7866820484
## [5644,] -0.077473220 -0.0838828111
## [5645,]  0.394159374  0.3909707486
## [5646,] -0.470500381 -0.4795941109
## [5647,] -0.077473220 -0.0838828111
## [5648,] -0.470500381 -0.4795941109
## [5649,]  1.604683030  1.6097615519
## [5650,] -0.329010603 -0.3371380430
## [5651,]  2.198940098  2.2080770372
## [5652,]  1.007281745  1.0082803763
## [5653,] -0.124636479 -0.1313681671
## [5654,] -0.981435691 -0.9940188006
## [5655,]  1.136194654  1.1380736826
## [5656,] -0.218962998 -0.2263388790
## [5657,]  1.101608264  1.1032510882
## [5658,]  0.236948509  0.2326862287
## [5659,] -1.649581865 -1.6099830098
## [5660,] -1.791071643 -1.7637880778
## [5661,]  2.057921952  2.0660958228
## [5662,]  0.365468391  0.3620838237
## [5663,]  0.708581102  0.7075397884
## [5664,]  0.158343077  0.1535439688
## [5665,]  1.970984344  1.9785644833
## [5666,]  0.527788608  0.5255125905
## [5667,]  0.394159374  0.3909707486
## [5668,] -0.077473220 -0.0838828111
## [5669,] -0.706316678 -0.7170208907
## [5670,] -1.020738407 -1.0335899306
## [5671,]  0.394159374  0.3909707486
## [5672,]  0.158343077  0.1535439688
## [5673,] -1.177949271 -0.9183588001
## [5674,] -1.728187297 -1.5999952566
## [5675,]  0.197645793  0.1931150987
## [5676,] -0.313289517 -0.3213095910
## [5677,] -1.264415247 -1.1912729693
## [5678,] -1.413765568 -1.3536254014
## [5679,]  0.383940667  0.3806822548
## [5680,] -0.363596993 -0.3719606373
## [5681,] -1.316294832 -1.2476697437
## [5682,] -1.460928827 -1.4049095858
## [5683,]  1.494635425  1.4989623880
## [5684,] -0.156078652 -0.1630250711
## [5685,]  1.278470486  1.2813211731
## [5686,] -0.175730010 -0.1828106361
## [5687,]  0.079737645  0.0744017088
## [5688,] -0.391894949 -0.4004518509
## [5689,]  1.447472166  1.4514770320
## [5690,]  0.708581102  0.7075397884
## [5691,]  0.079737645  0.0744017088
## [5692,] -0.391894949 -0.4004518509
## [5693,]  1.136194654  1.1380736826
## [5694,] -0.218962998 -0.2263388790
## [5695,]  0.158343077  0.1535439688
## [5696,] -0.156078652 -0.1630250711
## [5697,] -0.627711246 -0.6378786308
## [5698,] -1.256554704 -1.2710167104
## [5699,]  0.534454349  0.5322238542
## [5700,] -0.379946923 -0.3884222274
## [5701,]  0.001132212 -0.0047405512
## [5702,] -0.706316678 -0.7170208907
## [5703,]  3.145349502  4.4373562156
## [5704,] -1.570976433 -1.4052419833
## [5705,] -1.099343839 -1.0118416375
## [5706,] -1.885398161 -1.9041547901
## [5707,] -1.956143051 -1.9753828240
## [5708,]  0.394159374  0.3909707486
## [5709,] -0.470500381 -0.4795941109
## [5710,]  1.136194654  1.1380736826
## [5711,] -0.218962998 -0.2263388790
## [5712,]  1.085887177  1.0874226362
## [5713,] -0.140357566 -0.1471966191
## [5714,] -0.044458938 -0.0506430619
## [5715,] -0.931128214 -0.9433677542
## [5716,] -0.313289517 -0.3213095910
## [5717,] -0.784922110 -0.7961631507
## [5718,]  1.001936576  1.0028987026
## [5719,] -0.301341491 -0.3092799675
## [5720,] -0.044458938 -0.0506430619
## [5721,] -0.931128214 -0.9433677542
## [5722,]  0.315553941  0.3118284887
## [5723,]  0.001132212 -0.0047405512
## [5724,]  0.001132212 -0.0047405512
## [5725,] -0.627711246 -0.6378786308
## [5726,]  1.966268018  1.9738159477
## [5727,]  0.378438287  0.3751422966
## [5728,]  1.258819128  1.2615356081
## [5729,] -0.105771176 -0.1123740247
## [5730,]  1.180213696  1.1823933482
## [5731,]  0.101747166  0.0965615416
## [5732,]  0.787186535  0.7866820484
## [5733,] -0.313289517 -0.3213095910
## [5734,] -0.942132975 -0.9544476706
## [5735,] -1.225112531 -1.2393598064
## [5736,]  1.623548334  1.6287556943
## [5737,] -0.931128214 -0.9433677542
## [5738,]  3.032314890  3.0471432772
## [5739,]  0.544924593  0.5427656032
## [5740,]  0.197645793  0.1931150987
## [5741,] -0.313289517 -0.3213095910
## [5742,] -0.700342665 -0.7110060790
## [5743,] -1.343020679 -1.3580731964
## [5744,] -1.885398161 -1.9041547901
## [5745,]  0.859817954  0.8598094966
## [5746,] -0.617020907 -0.6271152834
## [5747,]  1.898714510  1.9058010895
## [5748,]  1.124938356  1.1267405110
## [5749,]  0.987630387  0.9884948113
## [5750,]  0.551370238  0.5492552685
## [5751,]  1.761893895  1.7680460718
## [5752,]  1.494635425  1.4989623880
## [5753,]  1.970984344  1.9785644833
## [5754,]  0.527788608  0.5255125905
## [5755,]  1.078026634  1.0795084102
## [5756,]  0.773006115  0.7724047847
## [5757,]  0.839066120  0.8389159400
## [5758,] -0.413904470 -0.4226116837
## [5759,]  0.615983903  0.6143102062
## [5760,] -0.171799739 -0.1788535231
## [5761,]  1.710800364  1.7166036029
## [5762,]  0.551370238  0.5492552685
## [5763,]  1.282400758  1.2852782861
## [5764,]  0.252669595  0.2485146807
## [5765,]  0.354856657  0.3513996186
## [5766,] -0.619850702 -0.6299644048
## [5767,]  1.384587820  1.3881632240
## [5768,]  0.409880460  0.4067992006
## [5769,]  1.368866733  1.3723347721
## [5770,]  0.809982110  0.8096333038
## [5771,]  2.507073392  2.5183146962
## [5772,]  0.144194099  0.1392983620
## [5773,] -0.549105813 -0.5587363708
## [5774,] -1.075762209 -1.0889895125
## [5775,]  1.368866733  1.3723347721
## [5776,]  0.809982110  0.8096333038
## [5777,]  2.044873451  2.0529582077
## [5778,]  0.944397399  0.9449665683
## [5779,]  2.046445559  2.0545410529
## [5780,]  0.285683877  0.2817544299
## [5781,]  0.684999473  0.6837971104
## [5782,] -0.171799739 -0.1788535231
## [5783,]  0.001132212 -0.0047405512
## [5784,] -1.335160136 -1.2681834175
## [5785,] -0.942132975 -0.8409418414
## [5786,]  0.565519216  0.5635008753
## [5787,] -0.324294277 -0.3323895074
## [5788,]  1.180213696  1.1823933482
## [5789,]  0.394159374  0.3909707486
## [5790,]  0.551370238  0.5492552685
## [5791,] -0.156078652 -0.1630250711
## [5792,] -1.649581865 -1.6099830098
## [5793,] -1.791071643 -1.7637880778
## [5794,] -0.706316678 -0.7170208907
## [5795,] -1.256554704 -1.2710167104
## [5796,]  0.208587669  0.2041317013
## [5797,] -0.063560058 -0.0698746311
## [5798,]  1.054445004  1.0557657322
## [5799,]  0.551370238  0.5492552685
## [5800,]  0.831205577  0.8310017140
## [5801,] -0.717321438 -0.7281008071
## [5802,] -0.077473220 -0.0838828111
## [5803,] -1.335160136 -1.3501589704
## [5804,]  0.236948509  0.2326862287
## [5805,] -0.277131018 -0.2849041514
## [5806,]  0.459716304  0.4569753934
## [5807,] -0.874532303 -0.8863853270
## [5808,]  0.040434928  0.0348305788
## [5809,] -0.526310238 -0.5357851154
## [5810,]  1.530793924  1.5353678276
## [5811,] -0.253549388 -0.2611614734
## [5812,]  0.834349794  0.8341674044
## [5813,] -0.266126257 -0.2738242350
## [5814,]  1.101608264  1.1032510882
## [5815,] -1.508092087 -1.4841309880
## [5816,]  0.001132212 -0.0047405512
## [5817,] -0.470500381 -0.4795941109
## [5818,]  2.198940098  2.2080770372
## [5819,]  1.007281745  1.0082803763
## [5820,]  0.469935010  0.4672638872
## [5821,] -0.095395258 -0.1019272464
## [5822,]  2.095180927  2.1036092540
## [5823,]  0.611110367  0.6094033861
## [5824,]  2.198940098  2.2080770372
## [5825,]  1.010425962  1.0114460667
## [5826,]  0.565519216  0.5635008753
## [5827,] -0.324294277 -0.3323895074
## [5828,]  1.604683030  1.6097615519
## [5829,] -0.329010603 -0.3371380430
## [5830,]  0.079737645  0.0744017088
## [5831,] -0.156078652 -0.1630250711
## [5832,]  0.186641032  0.1820351823
## [5833,] -0.130924914 -0.1376995479
## [5834,]  3.024297136  3.0390707667
## [5835,]  0.411452569  0.4083820458
## [5836,] -0.784922110 -0.7961631507
## [5837,] -1.256554704 -1.2710167104
## [5838,] -1.020738407 -1.0335899306
## [5839,] -1.335160136 -1.3501589704
## [5840,] -0.175195493 -0.1822724687
## [5841,] -1.047935886 -1.0609731525
## [5842,] -1.177949271 -1.1918744505
## [5843,] -1.256554704 -1.2710167104
## [5844,]  0.857931424  0.8579100823
## [5845,] -0.173371847 -0.1804363683
## [5846,]  2.646991062  2.6591879189
## [5847,]  0.978983789  0.9797891627
## [5848,] -0.863527542 -0.8753054107
## [5849,] -1.177949271 -1.1918744505
## [5850,]  0.708581102  0.7075397884
## [5851,]  0.158343077  0.1535439688
## [5852,]  1.258819128  1.2615356081
## [5853,] -0.105771176 -0.1123740247
## [5854,] -0.784922110 -0.7961631507
## [5855,] -1.256554704 -1.2710167104
## [5856,] -0.706316678 -0.7170208907
## [5857,] -1.759629470 -1.6389490770
## [5858,] -1.806792729 -1.6973718933
## [5859,] -0.077473220 -0.0838828111
## [5860,] -0.549105813 -0.5587363708
## [5861,]  0.290400203  0.2865029655
## [5862,] -0.703172461 -0.7138552003
## [5863,]  2.507073392  2.5183146962
## [5864,]  0.144194099  0.1392983620
## [5865,]  0.629975670  0.6283975285
## [5866,]  0.001132212 -0.0047405512
## [5867,]  0.197645793  0.1931150987
## [5868,] -0.313289517 -0.3213095910
## [5869,]  0.001132212 -0.0047405512
## [5870,] -0.470500381 -0.4795941109
## [5871,] -0.077473220 -0.0838828111
## [5872,] -0.470500381 -0.4795941109
## [5873,]  1.136194654  1.1380736826
## [5874,] -0.218962998 -0.2263388790
## [5875,] -1.649581865 -1.5026186200
## [5876,] -1.806792729 -1.6973718933
## [5877,]  1.431751079  1.4356485800
## [5878,]  0.079737645  0.0744017088
## [5879,]  1.101608264  1.1032510882
## [5880,]  0.629975670  0.6283975285
## [5881,] -1.492371000 -1.3078653467
## [5882,] -1.649581865 -1.5026186200
## [5883,] -2.121214458 -2.1415815699
## [5884,] -1.256554704 -1.0157354367
## [5885,] -1.610279149 -1.4539303016
## [5886,] -1.020738407 -1.0335899306
## [5887,] -1.177949271 -1.1918744505
## [5888,]  0.158343077  0.1535439688
## [5889,] -0.156078652 -0.1630250711
## [5890,]  2.359295180  2.3695272475
## [5891,]  1.573240857  1.5781046479
## [5892,]  1.227376955  1.2298787041
## [5893,]  0.567091324  0.5650837205
## [5894,]  0.629975670  0.6283975285
## [5895,]  0.315553941  0.3118284887
## [5896,]  1.258819128  1.2615356081
## [5897,]  0.787186535  0.7866820484
## [5898,]  0.472764806  0.4701130086
## [5899,] -0.549105813 -0.5587363708
## [5900,]  0.787186535  0.7866820484
## [5901,] -0.549105813 -0.5587363708
## [5902,] -1.570976433 -1.5245251975
## [5903,]  1.101608264  1.1032510882
## [5904,]  0.865791967  0.8658243083
## [5905,]  0.472764806  0.4701130086
## [5906,] -0.313289517 -0.3213095910
## [5907,]  0.787186535  0.7866820484
## [5908,]  0.001132212 -0.0047405512
## [5909,]  1.023002831  1.0241088283
## [5910,]  0.315553941  0.3118284887
## [5911,]  1.533938141  1.5385335180
## [5912,]  0.350140331  0.3466510830
## [5913,]  1.164492609  1.1665648962
## [5914,]  0.409880460  0.4067992006
## [5915,] -0.470500381 -0.4795941109
## [5916,] -1.177949271 -1.1918744505
## [5917,] -0.784922110 -1.3084509994
## [5918,] -0.784922110 -1.1937263794
## [5919,] -0.156078652 -0.1630250711
## [5920,] -0.470500381 -0.4795941109
## [5921,] -0.344731690 -0.3529664950
## [5922,] -1.075762209 -1.0889895125
## [5923,] -0.077473220 -0.0838828111
## [5924,] -0.549105813 -0.5587363708
## [5925,]  0.551370238  0.5492552685
## [5926,] -0.156078652 -0.1630250711
## [5927,]  2.823067230  2.8364665812
## [5928,]  1.881374152  1.8883423070
## [5929,] -0.784922110 -0.7961631507
## [5930,] -1.099343839 -1.1127321905
## [5931,]  1.573240857  1.5781046479
## [5932,]  0.197645793  0.1931150987
## [5933,]  0.787186535  0.7866820484
## [5934,] -0.077473220 -0.0838828111
## [5935,] -0.784922110 -0.7961631507
## [5936,] -0.077473220 -0.0838828111
## [5937,] -0.549105813 -0.5587363708
## [5938,]  0.842210337  0.8420816304
## [5939,]  0.032574385  0.0269163528
## [5940,]  1.400308906  1.4039916760
## [5941,] -0.424909230 -0.4336916001
## [5942,]  1.368866733  1.3723347721
## [5943,] -0.077473220 -0.0838828111
## [5944,]  0.657723388  0.6563347462
## [5945,] -0.246694994 -0.2542602683
## [5946,]  0.629975670  0.6283975285
## [5947,] -0.596269073 -0.6062217268
## [5948,] -1.036459493 -0.9820524909
## [5949,] -1.020738407 -1.0335899306
## [5950,] -1.335160136 -1.3501589704
## [5951,] -0.234684084 -0.2421673310
## [5952,] -0.698456135 -0.7091066647
## [5953,]  2.249247574  2.2587280835
## [5954,]  0.551370238  0.5492552685
## [5955,] -1.099343839 -1.1127321905
## [5956,] -1.256554704 -1.2710167104
## [5957,]  1.101608264  1.1032510882
## [5958,]  0.158343077  0.1535439688
## [5959,]  0.394159374  0.3909707486
## [5960,] -0.077473220 -0.0838828111
## [5961,]  0.787186535  0.7866820484
## [5962,] -0.022449417 -0.0284832291
## [5963,] -1.649581865 -1.6099830098
## [5964,] -1.791071643 -1.7637880778
## [5965,]  1.423890536  1.4277343540
## [5966,] -0.412332361 -0.4210288385
## [5967,]  0.046723363  0.0411619596
## [5968,] -0.516091532 -0.5254966217
## [5969,]  0.362717201  0.3593138446
## [5970,] -0.580547986 -0.5903932748
## [5971,]  1.730451722  1.7363891678
## [5972,] -0.218962998 -0.2263388790
## [5973,]  0.394159374  0.3909707486
## [5974,] -0.627711246 -0.6378786308
## [5975,]  1.730451722  1.7363891678
## [5976,] -0.218962998 -0.2263388790
## [5977,] -0.313289517 -0.3213095910
## [5978,] -0.627711246 -0.6378786308
## [5979,]  0.865791967  0.8658243083
## [5980,]  0.535649152  0.5334268165
## [5981,] -0.006728331 -0.0126547771
## [5982,] -0.359273695 -0.3676078130
## [5983,]  0.708581102  0.7075397884
## [5984,]  0.158343077  0.1535439688
## [5985,]  1.094297958  1.0958908580
## [5986,] -0.059944209 -0.0662340871
## [5987,]  0.315553941  0.3118284887
## [5988,] -0.234684084 -0.2421673310
## [5989,]  0.394159374  0.3909707486
## [5990,] -0.077473220 -0.0838828111
## [5991,]  0.771465448  0.7708535964
## [5992,]  0.189785250  0.1852008727
## [5993,]  1.136194654  1.1380736826
## [5994,] -0.218962998 -0.2263388790
## [5995,]  1.117329350  1.1190795402
## [5996,]  0.048295472  0.0427448048
## [5997,]  0.582812411  0.5809121725
## [5998,] -0.344731690 -0.3529664950
## [5999,]  0.944397399  0.9449665683
## [6000,] -0.218962998 -0.2263388790
## [6001,]  0.394159374  0.3909707486
## [6002,] -0.784922110 -0.7961631507
## [6003,]  0.457043719  0.4542845566
## [6004,] -0.643432332 -0.6537070828
## [6005,]  1.494635425  1.4989623880
## [6006,]  0.472764806  0.4701130086
## [6007,] -0.124636479 -0.1313681671
## [6008,] -1.177949271 -1.1918744505
## [6009,]  0.768321231  0.7676879060
## [6010,] -0.703172461 -0.7138552003
## [6011,] -0.391894949 -0.4004518509
## [6012,] -0.596269073 -0.6062217268
## [6013,]  0.944397399  0.9449665683
## [6014,]  0.079737645  0.0744017088
## [6015,] -0.549105813 -0.5587363708
## [6016,] -1.005017320 -1.0177614786
## [6017,]  0.236948509  0.2326862287
## [6018,] -0.156078652 -0.1630250711
## [6019,] -0.171799739 -0.1788535231
## [6020,] -0.690595591 -0.7011924388
## [6021,] -1.492371000 -1.7340464165
## [6022,]  1.966268018  1.9738159477
## [6023,] -1.570976433 -1.5875857502
## [6024,]  2.055878211  2.0640381241
## [6025,]  0.008206701  0.0023822522
## [6026,] -1.256554704 -1.5581290011
## [6027,]  1.581101400  1.5860188739
## [6028,]  0.150482534  0.1456297428
## [6029,] -0.077473220 -0.0838828111
## [6030,] -0.549105813 -0.5587363708
## [6031,] -0.156078652 -0.1630250711
## [6032,] -0.470500381 -0.4795941109
## [6033,] -0.313273796 -0.3212937625
## [6034,] -1.226574592 -1.2408318525
## [6035,] -0.880537758 -0.8924317957
## [6036,] -1.540131661 -1.5565303274
## [6037,]  0.394159374  0.3909707486
## [6038,] -0.234684084 -0.2421673310
## [6039,] -1.020738407 -1.0335899306
## [6040,] -1.335160136 -1.3501589704
## [6041,]  1.683288462  1.6889038119
## [6042,] -0.046031047 -0.0522259071
## [6043,]  1.133050437  1.1349079922
## [6044,]  0.394159374  0.3909707486
## [6045,]  0.834349794  0.8341674044
## [6046,] -0.262982040 -0.2706585446
## [6047,]  1.001936576  1.0028987026
## [6048,] -0.301341491 -0.3092799675
## [6049,]  1.117329350  1.1190795402
## [6050,] -0.046031047 -0.0522259071
## [6051,] -0.784922110 -0.7961631507
## [6052,] -1.099343839 -1.1127321905
## [6053,]  0.565519216  0.5635008753
## [6054,] -0.324294277 -0.3323895074
## [6055,]  1.384587820  1.3881632240
## [6056,]  0.095458731  0.0902301608
## [6057,]  2.422179525  2.4328410554
## [6058,]  0.771465448  0.7708535964
## [6059,] -1.649581865 -1.6099830098
## [6060,]  0.001132212 -0.0047405512
## [6061,] -0.313289517 -0.3213095910
## [6062,] -0.156078652 -0.1630250711
## [6063,] -0.627711246 -0.6378786308
## [6064,] -0.942132975 -0.9544476706
## [6065,] -1.177949271 -1.1918744505
## [6066,]  0.177208381  0.7604068181
## [6067,] -1.027498474 -0.7319787779
## [6068,]  1.416029993  1.4198201280
## [6069,]  0.529360717  0.5270954357
## [6070,] -0.313289517 -0.3213095910
## [6071,] -1.099343839 -1.1127321905
## [6072,]  1.573240857  1.5781046479
## [6073,]  0.001132212 -0.0047405512
## [6074,]  0.158343077  0.1535439688
## [6075,] -0.470500381 -0.4795941109
## [6076,]  2.187558031  2.1966172379
## [6077,]  0.824178251  0.8239263959
## [6078,] -0.077473220 -0.0838828111
## [6079,] -0.470500381 -0.4795941109
## [6080,]  0.079737645  0.0744017088
## [6081,] -0.690595591 -0.7011924388
## [6082,]  0.787186535  0.7866820484
## [6083,]  0.158343077  0.1535439688
## [6084,]  0.122970632  0.1179299518
## [6085,] -0.711819058 -0.7225608489
## [6086,]  0.472764806  0.4701130086
## [6087,] -0.156078652 -0.1630250711
## [6088,]  0.787186535  0.7866820484
## [6089,] -0.077473220 -0.0838828111
## [6090,] -1.287996876 -1.3026736144
## [6091,] -1.413765568 -1.4293012303
## [6092,] -1.649581865 -1.6099830098
## [6093,] -1.791071643 -1.7637880778
## [6094,] -1.020738407 -1.0335899306
## [6095,] -1.335160136 -1.3501589704
## [6096,] -0.391894949 -0.4004518509
## [6097,] -0.942132975 -0.9544476706
## [6098,] -0.706316678 -0.7170208907
## [6099,] -0.942132975 -0.9544476706
## [6100,]  0.469935010  0.4672638872
## [6101,] -0.095395258 -0.1019272464
## [6102,] -0.234684084 -0.2421673310
## [6103,] -0.698456135 -0.7091066647
## [6104,]  0.079737645  0.0744017088
## [6105,] -0.391894949 -0.4004518509
## [6106,]  1.431751079  1.4356485800
## [6107,]  0.488485892  0.4859414606
## [6108,]  1.604683030  1.6097615519
## [6109,]  0.064016558  0.0585732568
## [6110,]  0.472764806  0.4701130086
## [6111,]  0.079737645  0.0744017088
## [6112,]  0.657723388  0.6563347462
## [6113,] -0.246694994 -0.2542602683
## [6114,]  0.394159374  0.3909707486
## [6115,] -0.077473220 -0.0838828111
## [6116,]  1.368866733  1.3723347721
## [6117,] -0.077473220 -0.0838828111
## [6118,]  0.079737645  0.0744017088
## [6119,] -0.391894949 -0.4004518509
## [6120,] -1.099343839 -1.1127321905
## [6121,] -1.256554704 -1.2710167104
## [6122,] -0.061752133 -0.0680543591
## [6123,] -1.177949271 -1.1918744505
## [6124,] -1.347737005 -1.3628217320
## [6125,] -1.475077805 -1.4910321931
## [6126,]  0.315553941  0.3118284887
## [6127,] -0.313289517 -0.3213095910
## [6128,]  0.920029715  0.9204324677
## [6129,]  0.324200539  0.3205341373
## [6130,] -0.391894949 -0.4004518509
## [6131,] -0.784922110 -0.7961631507
## [6132,] -0.234684084 -0.2421673310
## [6133,] -0.470500381 -0.4795941109
## [6134,]  0.787186535  0.7866820484
## [6135,]  0.315553941  0.3118284887
## [6136,]  0.335205299  0.3316140537
## [6137,] -0.568757171 -0.5785219358
## [6138,]  1.136194654  1.1380736826
## [6139,] -0.218962998 -0.2263388790
## [6140,]  1.730451722  1.7363891678
## [6141,] -0.218962998 -0.2263388790
## [6142,]  0.057728124  0.0522418760
## [6143,] -0.777061567 -0.7882489247
## [6144,]  0.865791967  0.8658243083
## [6145,]  0.535649152  0.5334268165
## [6146,] -0.549105813 -0.5587363708
## [6147,] -0.863527542 -0.8753054107
## [6148,]  0.512067522  0.5096841386
## [6149,] -0.446918751 -0.4558514329
## [6150,]  0.835921903  0.8357502496
## [6151,] -0.556966357 -0.5666505968
## [6152,] -1.413765568 -1.2104887100
## [6153,] -1.649581865 -1.5026186200
## [6154,]  1.604683030  1.6097615519
## [6155,] -0.329010603 -0.3371380430
## [6156,] -0.899686041 -0.9117108502
## [6157,] -1.385467612 -1.4008100168
## [6158,]  0.158343077  0.1535439688
## [6159,] -0.313289517 -0.3213095910
## [6160,]  1.699009549  1.7047322639
## [6161,]  0.629975670  0.6283975285
## [6162,]  0.315553941  0.3118284887
## [6163,] -0.234684084 -0.2421673310
## [6164,]  0.276251225  0.2722573587
## [6165,] -0.682735048 -0.6932782128
## [6166,]  0.708581102  0.7075397884
## [6167,]  0.158343077  0.1535439688
## [6168,] -0.061752133 -0.0680543591
## [6169,] -1.177949271 -1.1918744505
## [6170,] -1.460928827 -1.4310740170
## [6171,]  2.139199969  2.1479289196
## [6172,]  0.897234140  0.8974812123
## [6173,] -0.784922110 -0.7961631507
## [6174,] -1.099343839 -1.1127321905
## [6175,]  1.152701795  1.1546935572
## [6176,]  0.450755285  0.4479531758
## [6177,]  3.195656979  3.2116008934
## [6178,]  1.562236097  1.5670247315
## [6179,]  1.258819128  1.2615356081
## [6180,]  1.101608264  1.1032510882
## [6181,]  2.316848246  2.3267904271
## [6182,]  0.758888579  0.7581908348
## [6183,]  0.944397399  0.9449665683
## [6184,]  0.029430168  0.0237506624
## [6185,]  0.787186535  0.7866820484
## [6186,]  0.315553941  0.3118284887
## [6187,]  2.627654125  2.6397189230
## [6188,]  0.327030334  0.3233832586
## [6189,] -0.344731690 -0.3529664950
## [6190,] -1.075762209 -1.0889895125
## [6191,] -2.042609026 -2.0372245859
## [6192,] -0.659153419 -0.6695355348
## [6193,] -1.413765568 -1.4293012303
## [6194,] -0.250405171 -0.2579957830
## [6195,] -0.407616035 -0.4162803029
## [6196,]  0.335205299  0.3316140537
## [6197,] -0.568757171 -0.5785219358
## [6198,]  0.236948509  0.2326862287
## [6199,] -0.277131018 -0.2849041514
## [6200,]  1.180213696  1.1823933482
## [6201,]  0.394159374  0.3909707486
## [6202,]  1.258819128  1.2615356081
## [6203,] -0.399755492 -0.4083660769
## [6204,]  1.533938141  1.5385335180
## [6205,]  0.350140331  0.3466510830
## [6206,]  0.394159374  0.3909707486
## [6207,] -0.077473220 -0.0838828111
## [6208,] -0.019305200 -0.0253175387
## [6209,] -0.382462297 -0.3909547797
## [6210,] -0.077473220 -0.0838828111
## [6211,] -0.549105813 -0.5587363708
## [6212,]  0.787186535  0.7866820484
## [6213,]  0.001132212 -0.0047405512
## [6214,]  0.158343077  0.1535439688
## [6215,] -0.470500381 -0.4795941109
## [6216,]  0.551370238  0.5492552685
## [6217,] -0.466570110 -0.4756369979
## [6218,]  1.970984344  1.9785644833
## [6219,]  0.519928065  0.5175983645
## [6220,]  0.315553941  0.3118284887
## [6221,] -0.391894949 -0.4004518509
## [6222,]  0.276251225  0.2722573587
## [6223,] -0.682735048 -0.6932782128
## [6224,]  1.573240857  1.5781046479
## [6225,]  0.787186535  0.7866820484
## [6226,] -0.234684084 -0.2421673310
## [6227,]  1.038723918  1.0399372802
## [6228,]  0.535649152  0.5334268165
## [6229,]  0.472764806  0.4701130086
## [6230,]  0.236948509  0.2326862287
## [6231,]  0.565519216  0.5635008753
## [6232,] -0.324294277 -0.3323895074
## [6233,] -0.077473220 -0.0838828111
## [6234,] -0.470500381 -0.4795941109
## [6235,] -0.095316653 -0.1018481041
## [6236,] -0.547659473 -0.5572801533
## [6237,] -0.313289517 -0.3213095910
## [6238,] -0.942132975 -0.9544476706
## [6239,]  0.362717201  0.3593138446
## [6240,] -0.281847344 -0.2896526870
## [6241,]  0.913725560  0.9140852585
## [6242,] -0.336871146 -0.3450522690
## [6243,]  0.469935010  0.4672638872
## [6244,] -0.095395258 -0.1019272464
## [6245,]  0.276251225  0.2722573587
## [6246,] -0.682735048 -0.6932782128
## [6247,]  1.970984344  1.9785644833
## [6248,]  0.527788608  0.5255125905
## [6249,] -0.005156222 -0.0110719320
## [6250,] -0.753479937 -0.7645062467
## [6251,] -0.077473220 -0.0838828111
## [6252,] -0.784922110 -0.7961631507
## [6253,]  0.629975670  0.6283975285
## [6254,] -0.863527542 -0.8753054107
## [6255,]  0.057728124  0.0522418760
## [6256,] -0.678018722 -0.6885296772
## [6257,] -0.942132975 -0.8409418414
## [6258,] -1.177949271 -1.0972836214
## [6259,] -0.344731690 -0.3529664950
## [6260,] -1.020738407 -1.0335899306
## [6261,]  0.016853299  0.0110879008
## [6262,] -0.156078652 -0.1630250711
## [6263,]  1.970984344  1.9785644833
## [6264,]  0.527788608  0.5255125905
## [6265,]  1.101608264  1.1032510882
## [6266,]  0.315553941  0.3118284887
## [6267,] -0.234684084 -0.2421673310
## [6268,] -0.698456135 -0.7091066647
## [6269,] -0.784922110 -0.7961631507
## [6270,] -1.099343839 -1.1127321905
## [6271,] -1.728187297 -1.6954249937
## [6272,]  0.158343077  0.1535439688
## [6273,] -0.077473220 -0.0838828111
## [6274,]  0.064016558  0.0585732568
## [6275,] -0.108915393 -0.1155397151
## [6276,] -1.335160136 -1.1131120734
## [6277,] -1.696745124 -1.5610572647
## [6278,]  0.629975670  0.6283975285
## [6279,] -0.470500381 -0.4795941109
## [6280,] -1.256554704 -1.0157354367
## [6281,] -1.696745124 -1.5610572647
## [6282,] -0.942132975 -0.6262288901
## [6283,] -1.413765568 -1.2104887100
## [6284,]  0.001132212 -0.0047405512
## [6285,] -0.611990159 -0.6220501788
## [6286,]  1.809057154  1.8155314278
## [6287,]  1.337424560  1.3406778681
## [6288,] -0.596269073 -0.4378386545
## [6289,] -1.256554704 -1.2148890197
## [6290,]  0.158343077  0.1535439688
## [6291,] -0.313289517 -0.3213095910
## [6292,] -1.177949271 -1.1918744505
## [6293,] -1.407477133 -1.4229698495
## [6294,] -1.020738407 -1.0335899306
## [6295,] -1.177949271 -1.1918744505
## [6296,]  1.604683030  1.6097615519
## [6297,] -0.329010603 -0.3371380430
## [6298,] -0.899686041 -0.9117108502
## [6299,] -1.385467612 -1.4008100168
## [6300,]  0.221227423  0.3483763843
## [6301,] -1.476649914 -1.4219884855
## [6302,] -1.044320037 -1.0573326085
## [6303,] -1.531673716 -1.5480146203
## [6304,]  0.803473580  0.8030803247
## [6305,] -0.250027865 -0.2576159002
## [6306,]  0.236948509  0.2326862287
## [6307,] -0.156078652 -0.1630250711
## [6308,] -1.382323395 -1.3976443264
## [6309,] -1.445207741 -1.4609581343
## [6310,]  0.346996114  0.3434853926
## [6311,] -0.549105813 -0.5587363708
## [6312,] -0.391894949 -0.4004518509
## [6313,] -0.942132975 -0.9544476706
## [6314,]  0.218083205  0.2136920863
## [6315,] -0.376173862 -0.3846233989
## [6316,]  1.368866733  1.3723347721
## [6317,] -0.077473220 -0.0838828111
## [6318,] -0.942132975 -0.9544476706
## [6319,] -0.942132975 -0.9544476706
## [6320,] -0.163939195 -0.1709392971
## [6321,] -0.637143897 -0.6473757020
## [6322,]  1.699009549  1.7047322639
## [6323,]  0.629975670  0.6283975285
## [6324,] -0.077473220 -0.0838828111
## [6325,] -0.470500381 -0.4795941109
## [6326,]  0.875224619  0.8753213795
## [6327,] -0.695311917 -0.7059409744
## [6328,]  1.604683030  1.6097615519
## [6329,] -0.329010603 -0.3371380430
## [6330,]  1.412068279  1.4158313581
## [6331,]  0.155701934  0.1508847888
## [6332,]  0.571807650  0.5698322561
## [6333,] -0.745619394 -0.7565920207
## [6334,]  0.236948509  0.2326862287
## [6335,] -0.277131018 -0.2849041514
## [6336,]  0.629975670  0.6283975285
## [6337,] -0.376173862 -0.3846233989
## [6338,] -0.013960031 -0.0199358651
## [6339,] -0.566399008 -0.5761476680
## [6340,]  0.057728124  0.0522418760
## [6341,] -0.678018722 -0.6885296772
## [6342,]  0.356428766  0.3529824638
## [6343,] -0.660725527 -0.6711183800
## [6344,]  0.475594601  0.4729621299
## [6345,] -0.690281170 -0.7008758697
## [6346,]  3.555355437  3.5737558749
## [6347,]  0.993447189  0.9943513385
## [6348,]  0.057728124  0.0522418760
## [6349,] -0.777061567 -0.7882489247
## [6350,]  0.889373597  0.8895669863
## [6351,] -0.445346643 -0.4542685877
## [6352,]  1.730451722  1.7363891678
## [6353,]  1.180213696  1.1823933482
## [6354,]  0.700720559  0.6996255624
## [6355,] -0.541245270 -0.5508221448
## [6356,]  0.315553941  0.3118284887
## [6357,] -0.942132975 -0.9544476706
## [6358,] -0.863527542 -0.8753054107
## [6359,] -1.256554704 -1.2710167104
## [6360,]  1.966268018  1.9738159477
## [6361,]  0.158343077  0.1535439688
## [6362,] -0.534422319 -0.5439525967
## [6363,] -1.073152509 -1.0863619895
## [6364,]  0.394159374  0.3909707486
## [6365,] -0.470500381 -0.4795941109
## [6366,]  0.001132212 -0.0047405512
## [6367,] -0.470500381 -0.4795941109
## [6368,]  0.787186535  0.7866820484
## [6369,]  0.394159374  0.3909707486
## [6370,]  0.881513053  0.8816527603
## [6371,] -0.313289517 -0.3213095910
## [6372,] -0.187520825 -0.1946819750
## [6373,] -0.910690802 -0.9227907666
## [6374,] -1.335160136 -1.3501589704
## [6375,] -1.602418605 -1.6192426542
## [6376,] -0.627711246 -0.6378786308
## [6377,] -1.177949271 -1.1918744505
## [6378,] -0.313289517 -0.3213095910
## [6379,] -0.989296234 -1.0019330266
## [6380,]  0.158343077  0.1535439688
## [6381,] -0.596269073 -0.6062217268
## [6382,]  0.197645793  0.1931150987
## [6383,] -0.313289517 -0.3213095910
## [6384,]  2.351434636  2.3616130215
## [6385,]  1.496207534  1.5005452332
## [6386,] -0.077473220 -0.0838828111
## [6387,] -0.784922110 -0.7961631507
## [6388,] -0.044458938 -0.0506430619
## [6389,] -0.931128214 -0.9433677542
## [6390,] -0.547533705 -0.5571535256
## [6391,] -1.195242466 -1.2092857477
## [6392,]  0.290400203  0.2865029655
## [6393,] -0.703172461 -0.7138552003
## [6394,]  0.944397399  0.9449665683
## [6395,]  0.158343077  0.1535439688
## [6396,] -0.077473220 -0.0838828111
## [6397,] -0.784922110 -0.7961631507
## [6398,]  1.136194654  1.1380736826
## [6399,] -0.218962998 -0.2263388790
## [6400,] -0.784922110 -0.7961631507
## [6401,] -1.020738407 -1.0335899306
## [6402,] -1.256554704 -1.0157354367
## [6403,] -1.610279149 -1.4539303016
## [6404,]  0.787186535  0.7866820484
## [6405,] -0.077473220 -0.0838828111
## [6406,] -0.156078652 -0.1630250711
## [6407,] -0.863527542 -0.8753054107
## [6408,]  0.551370238  0.5492552685
## [6409,] -0.466570110 -0.4756369979
## [6410,] -0.313289517 -0.3213095910
## [6411,]  0.865791967  0.8658243083
## [6412,] -0.156078652 -0.1630250711
## [6413,]  2.316848246  2.3267904271
## [6414,]  0.758888579  0.7581908348
## [6415,] -0.135829893 -0.1426380249
## [6416,] -0.876230180 -0.8880947999
## [6417,]  0.535649152  0.5334268165
## [6418,] -0.108915393 -0.1155397151
## [6419,] -1.256554704 -1.2710167104
## [6420,] -1.492371000 -1.5084434903
## [6421,]  1.970984344  1.9785644833
## [6422,]  0.527788608  0.5255125905
## [6423,] -1.177949271 -1.1918744505
## [6424,] -1.335160136 -1.3501589704
## [6425,]  0.158343077  0.1535439688
## [6426,] -0.046031047 -0.0522259071
## [6427,] -0.013960031 -0.0199358651
## [6428,] -0.566399008 -0.5761476680
## [6429,] -0.784922110 -1.1937263794
## [6430,]  0.475594601  0.4729621299
## [6431,] -0.690281170 -0.7008758697
## [6432,] -1.256554704 -1.2710167104
## [6433,] -1.099343839 -1.1127321905
## [6434,]  1.573240857  1.5781046479
## [6435,]  0.001132212 -0.0047405512
## [6436,] -0.163939195 -0.1709392971
## [6437,] -0.637143897 -0.6473757020
## [6438,] -0.706316678 -0.7170208907
## [6439,] -1.256554704 -1.2710167104
## [6440,]  0.958766472  0.9594337734
## [6441,] -0.522317082 -0.5317646886
## [6442,]  0.001132212 -0.0047405512
## [6443,] -0.784922110 -0.7961631507
## [6444,] -0.061752133 -0.0680543591
## [6445,] -1.177949271 -1.1918744505
## [6446,] -1.177949271 -1.1918744505
## [6447,] -1.413765568 -1.4293012303
## [6448,]  0.562374999  0.5603351849
## [6449,]  0.236948509  0.2326862287
## [6450,]  0.158343077  0.1535439688
## [6451,] -0.313289517 -0.3213095910
## [6452,]  0.299832855  0.2960000367
## [6453,] -0.618278594 -0.6283815596
## [6454,]  0.677138930  0.6758828845
## [6455,] -0.205600074 -0.2128846948
## [6456,] -0.163939195 -0.1709392971
## [6457,] -0.637143897 -0.6473757020
## [6458,]  1.981989105  1.9896443997
## [6459,]  0.449183176  0.4463703306
## [6460,] -1.492371000 -1.4390832137
## [6461,] -1.649581865 -1.6099830098
## [6462,] -1.256554704 -1.1827414337
## [6463,] -1.649581865 -1.6099830098
## [6464,]  0.174064163  0.7565130189
## [6465,] -1.047464254 -0.7567186483
## [6466,] -0.585264312 -0.1841402260
## [6467,] -1.047464254 -0.7567186483
## [6468,]  1.604683030  1.6097615519
## [6469,] -0.329010603 -0.3371380430
## [6470,] -0.313289517 -0.3213095910
## [6471,]  0.001132212 -0.0047405512
## [6472,]  0.218083205  0.2136920863
## [6473,] -0.376173862 -0.3846233989
## [6474,]  1.730451722  1.7363891678
## [6475,] -0.627711246 -0.6378786308
## [6476,]  0.315553941  0.3118284887
## [6477,] -0.313289517 -0.3213095910
## [6478,]  1.533938141  1.5385335180
## [6479,]  0.350140331  0.3466510830
## [6480,]  1.412068279  1.4158313581
## [6481,]  0.155701934  0.1508847888
## [6482,]  0.218083205  0.2136920863
## [6483,] -0.376173862 -0.3846233989
## [6484,] -0.332940875 -0.3410951560
## [6485,] -0.686665320 -0.6972353258
## [6486,]  1.604683030  1.6097615519
## [6487,] -0.329010603 -0.3371380430
## [6488,]  2.351434636  2.3616130215
## [6489,]  1.496207534  1.5005452332
## [6490,]  0.079737645  0.0744017088
## [6491,] -0.156078652 -0.1630250711
## [6492,]  0.276251225  0.2722573587
## [6493,] -0.682735048 -0.6932782128
## [6494,]  0.606394041  0.6046548505
## [6495,] -0.517663640 -0.5270794669
## [6496,]  1.573240857  1.5781046479
## [6497,] -0.187520825 -0.1946819750
## [6498,] -0.313289517 -0.3213095910
## [6499,] -0.784922110 -0.7961631507
## [6500,] -0.549105813 -0.4137002652
## [6501,] -0.156078652 -0.1630250711
## [6502,] -0.470500381 -0.4795941109
## [6503,]  0.158343077  0.1535439688
## [6504,] -0.234684084 -0.2421673310
## [6505,] -0.714177221 -0.7249351167
## [6506,] -1.256554704 -1.2710167104
## [6507,] -0.942132975 -0.9544476706
## [6508,] -1.256554704 -1.2710167104
## [6509,]  0.057728124  0.0522418760
## [6510,] -0.678018722 -0.6885296772
## [6511,] -0.391894949 -0.4004518509
## [6512,] -0.942132975 -0.9544476706
## [6513,]  0.551370238  0.5492552685
## [6514,] -0.391894949 -0.4004518509
## [6515,] -0.360452776 -0.3687949469
## [6516,] -0.879248629 -0.8911338626
## [6517,]  0.953043997  0.9536722169
## [6518,]  0.053011798  0.0474933404
## [6519,]  0.787186535  0.7866820484
## [6520,]  0.001132212 -0.0047405512
## [6521,]  0.181924706  0.1772866467
## [6522,] -0.478360924 -0.4875083369
## [6523,]  0.394159374  0.3909707486
## [6524,] -0.077473220 -0.0838828111
## [6525,]  0.394159374  0.3909707486
## [6526,] -0.018519146 -0.0245261161
## [6527,] -0.706316678 -0.7170208907
## [6528,] -1.020738407 -1.0335899306
## [6529,]  1.023002831  1.0241088283
## [6530,] -0.057035808 -0.0633058235
## [6531,]  0.787186535  1.0389242593
## [6532,] -1.225112531 -1.2393598064
## [6533,] -1.413765568 -1.4293012303
## [6534,]  0.054583906  0.0490761856
## [6535,] -0.428053448 -0.4368572905
## [6536,]  1.730451722  1.7363891678
## [6537,]  0.394159374  0.3909707486
## [6538,]  0.571807650  0.5698322561
## [6539,] -0.409188144 -0.4178631481
## [6540,]  2.988138637  3.0026653271
## [6541,]  0.001132212 -0.0047405512
## [6542,]  0.054583906  0.0490761856
## [6543,] -0.428053448 -0.4368572905
## [6544,]  1.573240857  1.5781046479
## [6545,]  0.394159374  0.3909707486
## [6546,] -1.413765568 -1.3536254014
## [6547,]  0.565519216  0.5635008753
## [6548,] -0.443774534 -0.4526857425
## [6549,]  0.057728124  0.0522418760
## [6550,] -0.678018722 -0.6885296772
## [6551,] -1.570976433 -1.5875857502
## [6552,] -0.784922110 -0.7961631507
## [6553,]  1.533938141  1.5385335180
## [6554,]  0.350140331  0.3466510830
## [6555,]  2.516506044  2.5278117674
## [6556,]  1.400308906  1.4039916760
## [6557,] -0.391894949 -0.4004518509
## [6558,] -0.627711246 -0.6378786308
## [6559,]  0.001132212 -0.0047405512
## [6560,] -0.784922110 -0.7961631507
## [6561,] -0.013394072 -0.0193660408
## [6562,] -1.062163470 -1.0752979016
## [6563,] -0.061752133 -0.0680543591
## [6564,] -1.177949271 -1.1918744505
## [6565,] -0.163939195 -0.1709392971
## [6566,] -0.637143897 -0.6473757020
## [6567,] -0.163939195 -0.1709392971
## [6568,] -0.637143897 -0.6473757020
## [6569,] -0.005156222 -0.0110719320
## [6570,] -0.753479937 -0.7645062467
## [6571,] -1.099343839 -0.8209821634
## [6572,] -1.728187297 -1.5999952566
## [6573,]  1.604683030  1.6097615519
## [6574,] -0.329010603 -0.3371380430
## [6575,] -0.863527542 -0.8753054107
## [6576,] -1.012877864 -1.0256757046
## [6577,]  0.565519216  0.5635008753
## [6578,] -0.443774534 -0.4526857425
## [6579,]  0.001132212 -0.0047405512
## [6580,] -0.784922110 -0.7961631507
## [6581,] -0.077473220 -0.0838828111
## [6582,] -0.391894949 -0.4004518509
## [6583,]  0.001132212 -0.0047405512
## [6584,] -0.820294555 -0.8317771677
## [6585,]  0.802907621  0.8025105004
## [6586,] -0.439058208 -0.4479372069
## [6587,]  1.604683030  1.6097615519
## [6588,] -0.329010603 -0.3371380430
## [6589,] -0.470500381 -0.4795941109
## [6590,] -1.177949271 -1.1918744505
## [6591,] -0.517820851 -0.5272377514
## [6592,] -1.053438267 -1.0665131107
## [6593,]  0.565519216  0.5635008753
## [6594,] -0.324294277 -0.3323895074
## [6595,]  0.787186535  0.7866820484
## [6596,] -0.391894949 -0.4004518509
## [6597,]  0.802907621  0.8025105004
## [6598,] -0.439058208 -0.4479372069
## [6599,]  0.857931424  0.8579100823
## [6600,] -0.121492262 -0.1282024767
## [6601,]  0.079737645  0.0744017088
## [6602,] -0.156078652 -0.1630250711
## [6603,]  0.880255367  0.8803864842
## [6604,]  0.340707680  0.3371540118
## [6605,] -0.446918751 -0.4558514329
## [6606,] -1.130786012 -1.1443890945
## [6607,]  0.064016558  0.0585732568
## [6608,] -0.533384727 -0.5429079188
## [6609,]  0.629975670  0.6283975285
## [6610,] -0.218962998 -0.2263388790
## [6611,] -1.335160136 -1.1131120734
## [6612,] -1.790285588 -1.6769215333
## [6613,]  0.472764806  0.4701130086
## [6614,] -0.627711246 -0.6378786308
## [6615,]  1.970984344  1.9785644833
## [6616,]  0.519928065  0.5175983645
## [6617,]  0.315553941  0.3118284887
## [6618,] -0.156078652 -0.1630250711
## [6619,]  0.064016558  0.0585732568
## [6620,] -0.533384727 -0.5429079188
## [6621,]  0.158343077  0.1535439688
## [6622,] -0.313289517 -0.3213095910
## [6623,]  0.787186535  0.7866820484
## [6624,] -0.470500381 -0.4795941109
## [6625,]  0.394159374  0.3909707486
## [6626,]  0.158343077  0.1535439688
## [6627,] -0.706316678 -0.3340989802
## [6628,] -1.020738407 -0.7236055268
## [6629,]  0.057728124  0.0522418760
## [6630,] -0.678018722 -0.6885296772
## [6631,] -1.020738407 -1.0335899306
## [6632,] -1.177949271 -1.1918744505
## [6633,]  1.180213696  1.1823933482
## [6634,]  0.101747166  0.0965615416
## [6635,]  0.001132212 -0.0047405512
## [6636,] -0.470500381 -0.4795941109
## [6637,]  0.218083205  0.2136920863
## [6638,] -0.376173862 -0.3846233989
## [6639,] -0.077473220 -0.0838828111
## [6640,] -0.942132975 -0.9544476706
## [6641,]  0.857931424  0.8579100823
## [6642,] -0.121492262 -0.1282024767
## [6643,] -0.863527542 -0.8753054107
## [6644,] -1.012877864 -1.0256757046
## [6645,]  0.276251225  0.2722573587
## [6646,] -0.682735048 -0.6932782128
## [6647,]  0.218083205  0.2136920863
## [6648,] -0.376173862 -0.3846233989
## [6649,]  0.079737645  0.0744017088
## [6650,] -0.156078652 -0.1630250711
## [6651,]  1.573240857  1.5781046479
## [6652,]  0.787186535  0.7866820484
## [6653,]  1.730451722  1.7363891678
## [6654,]  0.567091324  0.5650837205
## [6655,]  0.158343077  0.1535439688
## [6656,] -0.313289517 -0.3213095910
## [6657,]  0.787186535  0.7866820484
## [6658,]  0.001132212 -0.0047405512
## [6659,] -1.649581865 -1.6099830098
## [6660,] -1.791071643 -1.7637880778
## [6661,]  0.001132212 -0.0047405512
## [6662,] -0.470500381 -0.4795941109
## [6663,] -1.885398161 -1.9041547901
## [6664,]  0.551370238  0.5492552685
## [6665,] -0.391894949 -0.4004518509
## [6666,] -1.817483068 -1.8357758775
## [6667,] -1.256554704 -1.1827414337
## [6668,] -0.690595591 -0.7011924388
## [6669,]  0.394159374  0.3909707486
## [6670,] -0.313289517 -0.3213095910
## [6671,] -0.439058208 -0.4479372069
## [6672,] -0.882392846 -0.8942995530
## [6673,]  0.001132212 -0.0047405512
## [6674,] -0.942132975 -0.9544476706
## [6675,]  0.236948509  0.2326862287
## [6676,] -0.596269073 -0.6062217268
## [6677,]  1.101608264  1.1032510882
## [6678,] -1.303717963 -1.2340097897
## [6679,] -1.413765568 -1.3536254014
## [6680,]  0.857931424  0.8579100823
## [6681,] -0.121492262 -0.1282024767
## [6682,]  0.787186535  0.7866820484
## [6683,]  0.394159374  0.3909707486
## [6684,]  0.565519216  0.5635008753
## [6685,] -0.324294277 -0.3323895074
## [6686,]  0.565519216  0.5635008753
## [6687,] -0.443774534 -0.4526857425
## [6688,]  0.857931424  0.8579100823
## [6689,] -0.121492262 -0.1282024767
## [6690,] -1.728187297 -1.7458702702
## [6691,]  0.475594601  0.4729621299
## [6692,] -0.690281170 -0.7008758697
## [6693,] -0.218962998 -0.2263388790
## [6694,] -0.722037764 -0.7328493427
## [6695,] -0.391894949 -0.4004518509
## [6696,] -0.627711246 -0.6378786308
## [6697,]  0.054583906  0.0490761856
## [6698,] -0.428053448 -0.4368572905
## [6699,]  2.516506044  2.5278117674
## [6700,]  1.400308906  1.4039916760
## [6701,]  0.038548398  0.0329311646
## [6702,] -0.440567433 -0.4494567383
## [6703,]  0.565519216  0.5635008753
## [6704,] -0.324294277 -0.3323895074
## [6705,]  1.533938141  1.5385335180
## [6706,]  0.350140331  0.3466510830
## [6707,]  0.290400203  0.2865029655
## [6708,] -0.703172461 -0.7138552003
## [6709,] -0.340329785 -0.3485345284
## [6710,] -0.676446614 -0.6869468320
## [6711,]  0.661417843  0.6600544325
## [6712,] -0.156078652 -0.1630250711
## [6713,] -0.784922110 -0.7961631507
## [6714,] -0.784922110 -0.6700420452
## [6715,] -1.099343839 -1.0118416375
## [6716,]  1.966268018  1.9738159477
## [6717,]  0.378438287  0.3751422966
## [6718,] -0.163939195 -0.1709392971
## [6719,] -0.637143897 -0.6473757020
## [6720,] -0.163939195 -0.1709392971
## [6721,] -0.637143897 -0.6473757020
## [6722,]  0.323414485  0.3197427147
## [6723,] -1.020738407 -1.0335899306
## [6724,] -1.413341099 -1.2099663711
## [6725,] -1.653716510 -1.5077470384
## [6726,] -0.283435173  0.1897594669
## [6727,] -0.708030276 -0.3362199927
## [6728,] -1.099343839 -1.1127321905
## [6729,] -1.335160136 -1.3501589704
## [6730,] -0.395982431 -0.4045672484
## [6731,] -1.327488246 -1.3424346858
## [6732,] -1.221968313 -1.2361941160
## [6733,] -1.335474558 -1.3504755394
## [6734,]  0.057728124  0.0522418760
## [6735,] -0.678018722 -0.6885296772
## [6736,]  0.472371779  0.4697172973
## [6737,] -0.997691294 -1.0103854199
## [6738,] -0.470500381 -0.4795941109
## [6739,] -0.942132975 -0.9544476706
## [6740,] -1.696745124 -1.5610572647
## [6741,] -1.806792729 -1.6973718933
## [6742,] -0.013394072 -0.0193660408
## [6743,] -1.062163470 -1.0752979016
## [6744,]  0.299832855  0.2960000367
## [6745,] -0.618278594 -0.6283815596
## [6746,]  0.394159374  0.3909707486
## [6747,] -0.470500381 -0.4795941109
## [6748,]  1.258819128  1.2615356081
## [6749,]  0.472764806  0.4701130086
## [6750,]  0.057728124  0.0522418760
## [6751,] -0.678018722 -0.6885296772
## [6752,] -0.156078652 -0.1630250711
## [6753,] -0.470500381 -0.4795941109
## [6754,]  0.880255367  0.8803864842
## [6755,]  0.340707680  0.3371540118
## [6756,]  0.236948509  0.2326862287
## [6757,] -0.391894949 -0.4004518509
## [6758,]  1.809057154  1.8155314278
## [6759,]  0.551370238  0.5492552685
## [6760,] -0.313289517 -0.3213095910
## [6761,]  0.284111768  0.2801715847
## [6762,] -1.791071643 -1.7637880778
## [6763,] -0.863527542 -0.8753054107
## [6764,] -1.012877864 -1.0256757046
## [6765,] -0.044458938 -0.0506430619
## [6766,] -0.931128214 -0.9433677542
## [6767,]  0.277508912  0.2735236348
## [6768,] -0.973889569 -0.9864211436
## [6769,]  0.818628708  0.8183389524
## [6770,] -0.234684084 -0.2421673310
## [6771,]  0.218083205  0.2136920863
## [6772,] -0.376173862 -0.3846233989
## [6773,]  0.218083205  0.2136920863
## [6774,] -0.376173862 -0.3846233989
## [6775,] -0.722037764 -0.7328493427
## [6776,] -1.335160136 -1.3501589704
## [6777,]  1.258819128  1.2615356081
## [6778,] -0.030309961 -0.0363974551
## [6779,]  1.871941500  1.8788452358
## [6780,]  0.126900904  0.1218870648
## [6781,]  0.740023275  0.7391966924
## [6782,] -0.690595591 -0.7011924388
## [6783,]  0.001132212 -0.0047405512
## [6784,] -0.784922110 -0.7961631507
## [6785,]  2.202084315  2.2112427276
## [6786,]  0.944397399  0.9449665683
## [6787,]  0.661417843  0.6600544325
## [6788,]  0.359572983  0.3561481542
## [6789,]  2.363068240  2.3733260760
## [6790,]  0.789701909  0.7892146007
## [6791,]  2.363068240  2.3733260760
## [6792,]  0.789701909  0.7892146007
## [6793,]  0.394159374  0.3909707486
## [6794,] -0.156078652 -0.1630250711
## [6795,]  0.299832855  0.2960000367
## [6796,] -0.784922110 -0.7961631507
## [6797,]  3.459771231  3.4775188868
## [6798,]  1.494635425  1.4989623880
## [6799,] -0.863527542 -0.5288522535
## [6800,] -0.627711246 -0.6378786308
## [6801,] -1.099343839 -1.1127321905
## [6802,] -1.492371000 -1.5084434903
## [6803,] -1.602418605 -1.6192426542
## [6804,] -0.863527542 -0.8753054107
## [6805,] -1.020738407 -1.0335899306
## [6806,] -0.195381368 -0.2025962010
## [6807,] -1.075762209 -1.0889895125
## [6808,]  2.725596494  2.7383301789
## [6809,]  0.546653912  0.5445067329
## [6810,] -1.885398161 -1.9041547901
## [6811,]  0.567091324  0.5650837205
## [6812,]  0.049678927  0.0441377086
## [6813,]  0.629975670  0.6283975285
## [6814,]  0.158343077  0.1535439688
## [6815,]  0.787186535  0.7866820484
## [6816,]  0.001132212 -0.0047405512
## [6817,]  0.629975670  0.6283975285
## [6818,]  0.524801602  0.5225051847
## [6819,]  1.416029993  1.4198201280
## [6820,]  0.472764806  0.4701130086
## [6821,]  0.787186535  0.7866820484
## [6822,]  0.001132212 -0.0047405512
## [6823,]  2.351434636  2.3616130215
## [6824,]  1.496207534  1.5005452332
## [6825,] -0.093194306 -0.0997112631
## [6826,] -1.319439049 -1.3343305184
## [6827,] -0.022449417 -0.0284832291
## [6828,] -0.371819122 -0.3802389177
## [6829,]  1.227376955  1.2298787041
## [6830,] -0.470500381 -0.4795941109
## [6831,]  0.472764806  0.4701130086
## [6832,] -0.942132975 -0.9544476706
## [6833,] -0.368313319 -0.3767091729
## [6834,] -1.130786012 -1.1443890945
## [6835,]  0.472764806  0.4701130086
## [6836,]  0.158343077  0.1535439688
## [6837,]  1.919104759  1.9263305917
## [6838,]  0.315553941  0.3118284887
## [6839,] -1.099343839 -1.1127321905
## [6840,] -1.413765568 -1.4293012303
## [6841,]  1.714730635  1.7205607159
## [6842,] -0.061752133 -0.0680543591
## [6843,]  0.787186535  0.7866820484
## [6844,]  0.158343077  0.1535439688
## [6845,]  2.516506044  2.5278117674
## [6846,]  1.400308906  1.4039916760
## [6847,] -0.124636479 -0.1313681671
## [6848,] -0.863527542 -0.8753054107
## [6849,]  0.079737645  0.0744017088
## [6850,] -0.163939195 -0.1709392971
## [6851,] -0.156078652 -0.1630250711
## [6852,] -0.470500381 -0.4795941109
## [6853,]  1.714730635  1.7205607159
## [6854,] -0.061752133 -0.0680543591
## [6855,] -0.942132975 -0.6262288901
## [6856,] -1.413765568 -1.2104887100
## [6857,] -1.130786012 -2.0915636616
## [6858,] -0.762912589 -2.0638638707
## [6859,]  1.533938141  1.5385335180
## [6860,]  0.350140331  0.3466510830
## [6861,]  1.180213696  1.1823933482
## [6862,]  0.101747166  0.0965615416
## [6863,] -0.163939195 -0.1709392971
## [6864,] -0.637143897 -0.6473757020
## [6865,] -0.391894949 -0.4004518509
## [6866,] -0.942132975 -0.9544476706
## [6867,] -0.784922110 -0.6700420452
## [6868,] -1.256554704 -1.1827414337
## [6869,]  0.565519216  0.5635008753
## [6870,] -0.324294277 -0.3323895074
## [6871,] -0.163939195 -0.1709392971
## [6872,] -0.637143897 -0.6473757020
## [6873,] -0.470500381 -0.4795941109
## [6874,] -1.177949271 -1.1918744505
## [6875,]  0.299832855  0.2960000367
## [6876,] -0.618278594 -0.6283815596
## [6877,]  2.170642142  2.1795858236
## [6878,] -0.156078652 -0.1630250711
## [6879,]  2.170642142  2.1795858236
## [6880,] -0.156078652 -0.1630250711
## [6881,] -0.470500381 -0.4795941109
## [6882,] -0.942132975 -0.9544476706
## [6883,] -1.413765568 -1.2104887100
## [6884,] -1.570976433 -1.4052419833
## [6885,]  1.023788886  1.0249002509
## [6886,]  0.101747166  0.0965615416
## [6887,]  0.755744362  0.7550251444
## [6888,] -0.564826900 -0.5745648228
## [6889,] -1.177949271 -1.1918744505
## [6890,] -1.413765568 -1.4293012303
## [6891,]  0.857931424  0.8579100823
## [6892,] -0.121492262 -0.1282024767
## [6893,]  0.933392639  0.9338866519
## [6894,]  0.507351196  0.5049356030
## [6895,] -0.156078652 -0.1630250711
## [6896,] -0.470500381 -0.4795941109
## [6897,] -1.020738407 -1.0335899306
## [6898,] -1.728187297 -1.5999952566
## [6899,] -0.470500381 -0.4795941109
## [6900,] -1.413765568 -1.4293012303
## [6901,] -0.044458938 -0.0506430619
## [6902,] -0.931128214 -0.9433677542
## [6903,]  1.258819128  1.2615356081
## [6904,]  0.315553941  0.3118284887
## [6905,]  1.211655869  1.2140502521
## [6906,] -0.659153419 -0.6695355348
## [6907,]  0.472764806  0.4701130086
## [6908,]  0.158343077  0.1535439688
## [6909,]  0.472764806  0.4701130086
## [6910,]  0.158343077  0.1535439688
## [6911,]  0.472764806  0.4701130086
## [6912,] -0.313289517 -0.3213095910
## [6913,] -1.539534260 -1.4903515697
## [6914,] -1.602418605 -1.5587146538
## [6915,] -1.413765568 -1.4293012303
## [6916,] -1.570976433 -1.5875857502
## [6917,]  1.206939543  1.2093017165
## [6918,] -0.261409931 -0.2690756994
## [6919,]  1.604683030  1.6097615519
## [6920,] -0.329010603 -0.3371380430
## [6921,] -0.391910670  0.0553917380
## [6922,] -1.099343839 -1.1127321905
## [6923,] -1.531673716 -1.5480146203
## [6924,]  1.573240857  1.5781046479
## [6925,]  0.197645793  0.1931150987
## [6926,] -1.020738407 -1.0335899306
## [6927,] -1.177949271 -1.1918744505
## [6928,]  0.057728124  0.0522418760
## [6929,] -0.678018722 -0.6885296772
## [6930,]  0.236948509  0.2326862287
## [6931,] -0.407616035 -0.4162803029
## [6932,] -0.534422319 -0.5439525967
## [6933,] -1.073152509 -1.0863619895
## [6934,]  0.277508912  0.2735236348
## [6935,] -0.973889569 -0.9864211436
## [6936,]  1.573240857  1.5781046479
## [6937,] -1.366602309 -1.3818158744
## [6938,]  1.632194931  1.6374613429
## [6939,]  0.302977072  0.2991657271
## [6940,]  1.632194931  1.6374613429
## [6941,]  0.302977072  0.2991657271
## [6942,]  0.315553941  0.3118284887
## [6943,] -0.470500381 -0.4795941109
## [6944,] -0.395982431 -0.4045672484
## [6945,] -1.327488246 -1.3424346858
## [6946,]  1.000678889  1.0016324264
## [6947,]  0.215332015  0.2109221072
## [6948,]  3.538376663  3.5566611468
## [6949,] -0.863527542 -0.7554998575
## [6950,]  1.101608264  1.1032510882
## [6951,]  0.315553941  0.3118284887
## [6952,]  1.337424560  1.3406778681
## [6953,]  0.944397399  0.9449665683
## [6954,]  0.472764806  0.4701130086
## [6955,] -0.549105813 -0.5587363708
## [6956,]  0.787186535  0.7866820484
## [6957,] -0.549105813 -0.5587363708
## [6958,]  1.278470486  1.2813211731
## [6959,] -0.175730010 -0.1828106361
## [6960,]  2.112631333  2.1211788357
## [6961,]  0.049710369  0.0441693655
## [6962,]  0.158343077  0.1535439688
## [6963,] -1.177949271 -1.1918744505
## [6964,] -0.391894949 -0.4004518509
## [6965,] -0.706316678 -0.7170208907
## [6966,] -0.942132975 -0.6262288901
## [6967,] -1.256554704 -1.0157354367
## [6968,] -1.492371000 -1.5084434903
## [6969,] -1.602418605 -1.6192426542
## [6970,] -0.784922110 -0.7961631507
## [6971,]  1.194362674  1.1966389550
## [6972,]  0.101747166  0.0965615416
## [6973,]  1.573240857  1.5781046479
## [6974,]  0.197645793  0.1931150987
## [6975,]  2.646991062  2.6591879189
## [6976,]  0.611110367  0.6094033861
## [6977,]  3.695587528  3.7149456667
## [6978,] -1.413765568 -1.4293012303
## [6979,] -0.627711246 -0.6378786308
## [6980,] -0.863527542 -0.8753054107
## [6981,] -0.077473220 -0.0838828111
## [6982,] -0.234684084 -0.2421673310
## [6983,]  0.475594601  0.4729621299
## [6984,] -0.690281170 -0.7008758697
## [6985,] -0.880522037 -0.8924159673
## [6986,] -1.540131661 -1.5565303274
## [6987,]  1.445444145  1.4494351617
## [6988,] -0.253046313 -0.2606549629
## [6989,]  0.315553941  0.3118284887
## [6990,] -0.942132975 -0.9544476706
## [6991,]  0.958766472  0.9594337734
## [6992,] -0.522317082 -0.5317646886
## [6993,]  0.669278386  0.6679686585
## [6994,] -0.156078652 -0.1630250711
## [6995,] -0.013394072 -0.0193660408
## [6996,] -1.062163470 -1.0752979016
## [6997,] -1.791071643 -1.8091840781
## [6998,]  0.394159374  0.3909707486
## [6999,] -0.018519146 -0.0245261161
## [7000,]  3.459771231  3.4775188868
## [7001,]  0.787186535  0.7866820484
## [7002,]  1.337424560  1.3406778681
## [7003,]  0.551370238  0.5492552685
## [7004,] -0.784922110 -0.4314756168
## [7005,] -1.099343839 -0.8209821634
## [7006,]  1.040296027  1.0415201254
## [7007,] -0.143501783 -0.1503623095
## [7008,] -0.470500381 -0.0419690702
## [7009,] -0.784922110 -0.4314756168
## [7010,] -1.570976433 -1.5245251975
## [7011,] -0.627711246 -0.6378786308
## [7012,] -0.344731690 -0.3529664950
## [7013,] -1.075762209 -1.0889895125
## [7014,] -1.492371000 -1.3078653467
## [7015,] -1.539534260 -1.3663039914
## [7016,] -1.570976433 -1.4052419833
## [7017,] -1.649581865 -1.5026186200
## [7018,]  2.107757796  2.1162720156
## [7019,]  1.353145647  1.3565063201
## [7020,]  1.543370793  1.5480305892
## [7021,] -0.063324242 -0.0696372043
## [7022,]  0.093100568  0.0878558930
## [7023,] -0.744927666 -0.7558955688
## [7024,]  0.023298944  0.0175775662
## [7025,] -0.543446222 -0.5530381281
## [7026,] -1.382323395 -1.3194517735
## [7027,] -1.492371000 -1.4390832137
## [7028,]  0.315553941 -0.3854464784
## [7029,] -0.784922110 -0.7961631507
## [7030,]  1.573240857  1.5781046479
## [7031,]  0.197645793  0.1931150987
## [7032,]  0.551370238  0.5492552685
## [7033,] -0.466570110 -0.4756369979
## [7034,] -1.964003594 -1.9517667737
## [7035,]  0.472764806  0.4701130086
## [7036,] -1.020738407 -1.0335899306
## [7037,] -1.256554704 -1.2710167104
## [7038,] -0.234684084 -0.2421673310
## [7039,] -0.784922110 -0.7961631507
## [7040,]  0.079737645  0.0744017088
## [7041,] -0.156078652 -0.1630250711
## [7042,]  0.857931424  0.8579100823
## [7043,] -0.121492262 -0.1282024767
## [7044,]  1.206939543  1.2093017165
## [7045,] -0.261409931 -0.2690756994
## [7046,]  1.180213696  1.1823933482
## [7047,]  0.101747166  0.0965615416
## [7048,]  0.218083205  0.2136920863
## [7049,] -0.376173862 -0.3846233989
## [7050,]  0.218083205  0.2136920863
## [7051,] -0.376173862 -0.3846233989
## [7052,]  1.101608264  1.1032510882
## [7053,]  0.001132212 -0.0047405512
## [7054,] -0.077473220 -0.0838828111
## [7055,] -0.549105813 -0.5587363708
## [7056,]  0.857931424  0.8579100823
## [7057,] -0.173371847 -0.1804363683
## [7058,]  0.197645793  0.1931150987
## [7059,] -0.313289517 -0.3213095910
## [7060,]  0.001132212 -0.0047405512
## [7061,] -0.674874505 -0.6853639868
## [7062,]  0.394159374  0.3909707486
## [7063,] -0.627711246 -0.6378786308
## [7064,]  1.206939543  1.2093017165
## [7065,] -0.261409931 -0.2690756994
## [7066,]  1.604683030  1.6097615519
## [7067,] -0.329010603 -0.3371380430
## [7068,]  0.001132212 -0.0047405512
## [7069,] -0.391894949 -0.4004518509
## [7070,]  1.604683030  1.6097615519
## [7071,] -0.329010603 -0.3371380430
## [7072,]  1.180213696  1.1823933482
## [7073,]  0.101747166  0.0965615416
## [7074,] -1.995445767 -2.0149539540
## [7075,] -0.627711246 -0.6378786308
## [7076,]  1.809057154  1.8155314278
## [7077,]  0.515997793  0.5136412515
## [7078,] -0.313289517 -0.3213095910
## [7079,] -0.784922110 -0.7961631507
## [7080,]  0.057728124  0.0522418760
## [7081,] -0.678018722 -0.6885296772
## [7082,] -0.195381368 -0.2025962010
## [7083,] -1.075762209 -1.0889895125
## [7084,]  2.580962498  2.5927084206
## [7085,]  0.721157972  0.7202025500
## [7086,]  0.865791967  0.8658243083
## [7087,]  0.472764806  0.4701130086
## [7088,]  0.236948509  0.2326862287
## [7089,] -0.093194306 -0.0997112631
## [7090,]  0.158343077  0.1535439688
## [7091,] -0.784922110 -0.7961631507
## [7092,]  0.787186535  0.7866820484
## [7093,] -0.077473220 -0.0838828111
## [7094,]  0.001132212 -0.0047405512
## [7095,] -0.784922110 -0.7961631507
## [7096,]  0.771465448  0.7708535964
## [7097,] -0.596269073 -0.6062217268
## [7098,] -0.706316678 -0.7170208907
## [7099,] -1.256554704 -1.2710167104
## [7100,] -0.313289517 -0.3213095910
## [7101,]  0.475594601  0.4729621299
## [7102,] -0.690281170 -0.7008758697
## [7103,]  0.158343077  0.1535439688
## [7104,] -0.234684084 -0.2421673310
## [7105,]  0.519928065  0.5175983645
## [7106,] -0.250405171 -0.2579957830
## [7107,]  1.101608264  1.1032510882
## [7108,]  0.001132212 -0.0047405512
## [7109,]  3.145349502  3.1609498470
## [7110,]  1.769754438  1.7759602978
## [7111,] -0.439058208 -0.4479372069
## [7112,] -0.879248629 -0.8911338626
## [7113,]  1.981989105  1.9896443997
## [7114,]  0.535649152  0.5334268165
## [7115,]  2.516506044  2.5278117674
## [7116,]  1.400308906  1.4039916760
## [7117,]  1.180213696  1.1823933482
## [7118,]  0.101747166  0.0965615416
## [7119,]  0.472764806  0.4701130086
## [7120,]  0.001132212 -0.0047405512
## [7121,]  1.227376955  1.2298787041
## [7122,]  0.032574385  0.0269163528
## [7123,]  0.935750802  0.9362609197
## [7124,]  0.137544079  0.1326029268
## [7125,]  0.394159374  0.3909707486
## [7126,] -0.077473220 -0.0838828111
## [7127,]  1.416029993  1.4198201280
## [7128,]  0.315553941  0.3118284887
## [7129,] -0.734614633 -0.7455121043
## [7130,] -1.394900264 -1.4103070879
## [7131,]  0.079737645  0.0744017088
## [7132,] -0.942132975 -1.3189769200
## [7133,] -1.429486654 -1.3707201295
## [7134,]  1.368866733  1.3723347721
## [7135,] -0.077473220 -0.0838828111
## [7136,]  1.416029993  1.4198201280
## [7137,] -0.171799739 -0.1788535231
## [7138,]  0.386298830  0.3830565226
## [7139,] -0.580547986 -0.5903932748
## [7140,] -0.313289517 -0.3213095910
## [7141,] -0.989296234 -1.0019330266
## [7142,]  0.158343077  0.1535439688
## [7143,] -0.659153419 -0.6695355348
## [7144,]  0.236948509  0.2326862287
## [7145,] -0.670944233 -0.6814068738
## [7146,]  2.359295180  2.3695272475
## [7147,] -0.486221468 -0.4954225629
## [7148,]  2.136055752  2.1447632292
## [7149,]  0.073449210  0.0680703280
## [7150,] -1.885398161 -1.9041547901
## [7151,]  1.101608264  1.1032510882
## [7152,]  0.708581102  0.7075397884
## [7153,]  0.290400203  0.2865029655
## [7154,] -0.703172461 -0.7138552003
## [7155,]  0.881513053  0.8816527603
## [7156,]  0.158343077  0.1535439688
## [7157,]  0.787186535  0.7866820484
## [7158,]  0.394159374  0.3909707486
## [7159,]  1.278470486  1.2813211731
## [7160,] -0.175730010 -0.1828106361
## [7161,]  0.048295472  0.0427448048
## [7162,] -0.879248629 -0.8911338626
## [7163,]  1.423890536  1.4277343540
## [7164,] -0.412332361 -0.4210288385
## [7165,]  0.158343077  0.1535439688
## [7166,] -0.942132975 -0.9544476706
## [7167,] -0.403937301 -0.4125764452
## [7168,] -1.185180971 -1.1991555384
## [7169,] -0.643432332 -0.6537070828
## [7170,] -1.115064926 -1.1285606425
## [7171,] -1.099343839 -1.0485794746
## [7172,] -1.570976433 -1.5875857502
## [7173,]  1.970984344  1.9785644833
## [7174,]  0.527788608  0.5255125905
## [7175,]  1.970984344  1.9785644833
## [7176,]  0.527788608  0.5255125905
## [7177,]  0.158343077  0.1535439688
## [7178,] -0.382462297 -0.3909547797
## [7179,]  0.315553941  0.3118284887
## [7180,] -0.470500381 -0.4795941109
## [7181,]  1.180213696  1.1823933482
## [7182,] -0.156078652 -0.1630250711
## [7183,] -0.135798451 -0.1426063680
## [7184,] -1.190872004 -1.2048854380
## [7185,]  0.001132212 -0.0047405512
## [7186,] -0.470500381 -0.4795941109
## [7187,] -1.020738407 -1.0335899306
## [7188,] -1.177949271 -1.1918744505
## [7189,]  1.101608264  1.1032510882
## [7190,]  0.158343077  0.1535439688
## [7191,]  0.875224619  0.8753213795
## [7192,] -0.667013962 -0.6774497608
## [7193,] -0.470500381 -0.4795941109
## [7194,] -0.863527542 -0.8753054107
## [7195,]  0.565519216  0.5635008753
## [7196,] -0.324294277 -0.3323895074
## [7197,]  0.158343077  0.1535439688
## [7198,] -0.313289517 -0.3213095910
## [7199,]  1.573240857  1.5781046479
## [7200,]  0.394159374  0.3909707486
## [7201,] -0.218962998 -0.2263388790
## [7202,] -0.722037764 -0.7328493427
## [7203,] -1.099343839 -1.1127321905
## [7204,] -1.531673716 -1.5480146203
## [7205,] -0.627711246 -0.6378786308
## [7206,] -1.036459493 -1.0494183826
## [7207,] -0.391894949 -0.4004518509
## [7208,] -0.627711246 -0.6378786308
## [7209,] -0.942132975 -0.9544476706
## [7210,] -1.099343839 -1.1127321905
## [7211,]  0.787186535  0.7866820484
## [7212,] -0.234684084 -0.2421673310
## [7213,] -1.602418605 -1.6192426542
## [7214,] -0.470500381 -0.4795941109
## [7215,] -0.313289517 -0.3213095910
## [7216,] -1.177949271 -1.1918744505
## [7217,]  1.604683030  1.6097615519
## [7218,] -0.329010603 -0.3371380430
## [7219,]  0.001132212 -0.0047405512
## [7220,] -0.784922110 -0.7961631507
## [7221,]  1.206939543  1.2093017165
## [7222,] -0.261409931 -0.2690756994
## [7223,]  0.629975670  0.6283975285
## [7224,]  0.236948509  0.2326862287
## [7225,]  0.315553941  0.3118284887
## [7226,]  0.001132212 -0.0047405512
## [7227,]  0.001132212 -0.0047405512
## [7228,] -0.313289517 -0.3213095910
## [7229,]  1.180213696  1.1823933482
## [7230,]  0.101747166  0.0965615416
## [7231,]  0.787186535  0.7866820484
## [7232,] -1.099343839 -1.1127321905
## [7233,]  1.683288462  1.6889038119
## [7234,] -0.250405171 -0.2579957830
## [7235,] -1.225112531 -1.1485519774
## [7236,] -1.791071643 -1.7637880778
## [7237,]  0.875224619  0.8753213795
## [7238,] -0.695311917 -0.7059409744
## [7239,] -0.156078652 -0.1630250711
## [7240,] -0.627711246 -0.6378786308
## [7241,]  2.351434636  2.3616130215
## [7242,]  1.496207534  1.5005452332
## [7243,]  0.944397399  0.9449665683
## [7244,]  0.029430168  0.0237506624
## [7245,] -1.570976433 -1.5245251975
## [7246,] -1.602418605 -1.5587146538
## [7247,] -1.759629470 -1.7296144500
## [7248,] -1.602418605 -1.5587146538
## [7249,] -1.759629470 -1.7296144500
## [7250,]  0.158343077  0.1535439688
## [7251,] -0.234684084 -0.2421673310
## [7252,] -0.470500381 -0.4795941109
## [7253,] -0.863527542 -0.8753054107
## [7254,]  1.573240857  1.5781046479
## [7255,] -1.366602309 -1.3818158744
## [7256,]  1.368866733  1.3723347721
## [7257,] -0.077473220 -0.0838828111
## [7258,] -0.313289517 -0.3213095910
## [7259,] -0.942132975 -0.9544476706
## [7260,] -0.470500381 -0.4795941109
## [7261,] -0.784922110 -0.7961631507
## [7262,]  0.386298830  0.3830565226
## [7263,] -0.580547986 -0.5903932748
## [7264,]  0.524801602  0.5225051847
## [7265,]  0.524801602  0.5225051847
## [7266,] -0.077473220 -0.0838828111
## [7267,] -0.745619394 -0.7565920207
## [7268,]  0.944397399  0.9449665683
## [7269,]  0.551370238  0.5492552685
## [7270,]  0.386298830  0.3830565226
## [7271,] -0.580547986 -0.5903932748
## [7272,] -0.439058208 -0.4479372069
## [7273,] -0.879248629 -0.8911338626
## [7274,]  1.101608264  1.1032510882
## [7275,] -0.061752133 -0.0680543591
## [7276,]  2.359295180  2.3695272475
## [7277,] -0.313289517 -0.3213095910
## [7278,] -0.077473220 -0.0838828111
## [7279,] -0.344731690 -0.3529664950
## [7280,]  0.504206979  0.5017699126
## [7281,] -0.156078652 -0.1630250711
## [7282,] -0.439058208 -0.4479372069
## [7283,] -0.879248629 -0.8911338626
## [7284,] -1.225112531 -1.1485519774
## [7285,] -1.791071643 -1.7637880778
## [7286,]  2.359295180  2.3695272475
## [7287,]  0.787186535  0.7866820484
## [7288,] -0.234684084 -0.2421673310
## [7289,] -0.698456135 -0.7091066647
## [7290,]  1.604683030  1.6097615519
## [7291,] -0.329010603 -0.3371380430
## [7292,] -0.627711246 -0.6378786308
## [7293,] -0.218962998 -0.2263388790
## [7294,] -0.722037764 -0.7328493427
## [7295,]  0.284111768  0.2801715847
## [7296,] -0.313289517 -0.3213095910
## [7297,] -1.335160136 -1.1131120734
## [7298,] -1.790285588 -1.6769215333
## [7299,] -0.470500381 -0.4795941109
## [7300,] -0.863527542 -0.8753054107
## [7301,]  0.054583906  0.0490761856
## [7302,] -0.428053448 -0.4368572905
## [7303,]  0.551370238  0.5492552685
## [7304,]  0.158343077  0.1535439688
## [7305,]  0.865791967  0.8658243083
## [7306,]  0.551370238  0.5492552685
## [7307,]  0.857931424  0.8579100823
## [7308,] -0.121492262 -0.1282024767
## [7309,] -0.077473220 -0.0838828111
## [7310,] -0.989296234 -1.0019330266
## [7311,] -1.570976433 -1.5875857502
## [7312,]  1.323275583  1.3264322613
## [7313,]  0.842210337  0.8420816304
## [7314,]  1.161348392  1.1633992058
## [7315,]  0.348568223  0.3450682378
## [7316,]  0.472764806  0.4701130086
## [7317,]  0.001132212 -0.0047405512
## [7318,]  1.293405518  1.2963582025
## [7319,]  0.271534899  0.2675088231
## [7320,]  0.740023275  0.7391966924
## [7321,] -0.690595591 -0.7011924388
## [7322,]  0.472764806  0.4701130086
## [7323,] -0.077473220 -0.0838828111
## [7324,]  1.180213696  1.1823933482
## [7325,]  0.787186535  0.7866820484
## [7326,]  0.315553941  0.3118284887
## [7327,] -0.564826900 -0.5745648228
## [7328,]  2.225665945  2.2349854056
## [7329,]  0.472764806  0.4701130086
## [7330,]  0.727446406  0.7265339308
## [7331,]  0.015281190  0.0095050556
## [7332,]  0.290400203  0.2865029655
## [7333,] -0.703172461 -0.7138552003
## [7334,] -0.863527542 -0.8753054107
## [7335,] -1.099343839 -1.1127321905
## [7336,] -0.533384727 -0.5429079188
## [7337,] -1.225112531 -1.2393598064
## [7338,]  0.897234140  0.8974812123
## [7339,]  0.268390682  0.2643431327
## [7340,] -0.077473220 -0.0838828111
## [7341,] -0.234684084 -0.2421673310
## [7342,] -0.706316678 -0.7170208907
## [7343,] -1.256554704 -1.2710167104
## [7344,]  0.472764806  0.4701130086
## [7345,] -0.549105813 -0.5587363708
## [7346,] -0.253549388 -0.2611614734
## [7347,] -0.846234347 -0.8578941135
## [7348,] -0.470500381 -0.4795941109
## [7349,] -1.099343839 -1.1127321905
## [7350,] -0.156078652 -0.1630250711
## [7351,] -0.784922110 -0.7961631507
## [7352,]  0.001132212 -0.0047405512
## [7353,] -0.470500381 -0.4795941109
## [7354,] -0.156078652 -0.1630250711
## [7355,] -0.549105813 -0.5587363708
## [7356,]  2.316848246  2.3267904271
## [7357,]  0.758888579  0.7581908348
## [7358,]  2.316848246  2.3267904271
## [7359,]  0.758888579  0.7581908348
## [7360,]  0.818628708  0.8183389524
## [7361,] -0.234684084 -0.2421673310
## [7362,] -0.627711246 -0.6378786308
## [7363,] -1.036459493 -1.0494183826
## [7364,]  1.085887177  1.0874226362
## [7365,]  1.258819128  1.2615356081
## [7366,]  0.724302189  0.7233682404
## [7367,] -0.156078652 -0.1630250711
## [7368,] -0.627711246 -0.6378786308
## [7369,]  0.001132212 -0.0047405512
## [7370,] -0.784922110 -0.7961631507
## [7371,]  0.158343077  0.1535439688
## [7372,] -0.627711246 -0.6378786308
## [7373,]  0.565519216  0.5635008753
## [7374,] -0.324294277 -0.3323895074
## [7375,] -0.374601754 -0.3830405537
## [7376,] -1.225112531 -1.2393598064
## [7377,]  0.315553941  0.3118284887
## [7378,]  0.001132212 -0.0047405512
## [7379,]  0.394159374  0.3909707486
## [7380,] -0.156078652 -0.1630250711
## [7381,]  1.423890536  1.4277343540
## [7382,] -0.195381368 -0.2025962010
## [7383,]  0.590672954  0.5888263985
## [7384,]  0.236948509  0.2326862287
## [7385,] -1.413765568 -1.2104887100
## [7386,] -1.979724680 -1.9798781044
## [7387,]  0.944397399  0.9449665683
## [7388,]  0.248739324  0.2445575677
## [7389,]  1.180213696  1.1823933482
## [7390,]  0.248739324  0.2445575677
## [7391,] -0.946849301 -0.6320695889
## [7392,] -1.488440729 -1.3030060119
## [7393,] -0.234684084 -0.2421673310
## [7394,] -0.549105813 -0.5587363708
## [7395,]  1.966268018  1.9738159477
## [7396,]  0.394159374  0.3909707486
## [7397,]  0.315553941  0.3118284887
## [7398,] -0.156078652 -0.1630250711
## [7399,]  0.399001468  0.3958459118
## [7400,] -0.773823023 -0.7849882636
## [7401,]  1.337424560  1.3406778681
## [7402,] -0.234684084 -0.2421673310
## [7403,]  2.516506044  2.5278117674
## [7404,]  1.243098042  1.2457071561
## [7405,]  2.187558031  2.1966172379
## [7406,]  0.824178251  0.8239263959
## [7407,] -1.335160136 -1.2681834175
## [7408,] -1.806792729 -1.7808828060
## [7409,] -0.470500381 -0.4795941109
## [7410,] -0.784922110 -0.7961631507
## [7411,]  1.206939543  1.2093017165
## [7412,] -0.261409931 -0.2690756994
## [7413,] -0.391894949 -0.4004518509
## [7414,] -1.020738407 -1.0335899306
## [7415,] -0.313289517 -0.3213095910
## [7416,] -1.099343839 -1.1127321905
## [7417,] -0.470500381 -0.4795941109
## [7418,] -0.784922110 -0.7961631507
## [7419,]  1.278470486  1.2813211731
## [7420,] -0.175730010 -0.1828106361
## [7421,]  0.771465448  0.7708535964
## [7422,]  0.189785250  0.1852008727
## [7423,]  0.158343077  0.1535439688
## [7424,] -0.234684084 -0.2421673310
## [7425,] -0.784922110 -0.7961631507
## [7426,]  0.787186535  0.7866820484
## [7427,]  0.001132212 -0.0047405512
## [7428,]  0.158343077  0.1535439688
## [7429,] -0.470500381 -0.4795941109
## [7430,]  1.573240857  1.5781046479
## [7431,]  0.787186535  0.7866820484
## [7432,]  0.001132212 -0.0047405512
## [7433,] -0.470500381 -0.4795941109
## [7434,]  0.001132212 -0.0047405512
## [7435,] -0.784922110 -0.7961631507
## [7436,] -0.266126257 -0.2738242350
## [7437,]  1.927751357  1.9350362403
## [7438,]  0.758888579  0.7581908348
## [7439,]  0.504206979  0.5017699126
## [7440,] -0.156078652 -0.1630250711
## [7441,]  0.787186535  0.7866820484
## [7442,]  0.158343077  0.1535439688
## [7443,]  0.857931424  0.8579100823
## [7444,] -0.121492262 -0.1282024767
## [7445,] -0.470500381 -0.4795941109
## [7446,] -0.706316678 -0.7170208907
## [7447,]  0.590672954  0.5888263985
## [7448,]  0.394159374  0.3909707486
## [7449,]  0.857931424  0.8579100823
## [7450,] -0.121492262 -0.1282024767
## [7451,]  0.079737645  0.0744017088
## [7452,] -1.350881222 -1.3659874224
## [7453,]  1.337424560  1.3406778681
## [7454,]  0.551370238  0.5492552685
## [7455,]  0.386298830  0.3830565226
## [7456,] -0.580547986 -0.5903932748
## [7457,] -0.107343284 -0.1139568699
## [7458,] -0.580547986 -0.5903932748
## [7459,]  0.535649152  0.5334268165
## [7460,] -0.124636479 -0.1313681671
## [7461,] -0.156078652 -0.1630250711
## [7462,] -0.470500381 -0.4795941109
## [7463,]  0.386298830  0.3830565226
## [7464,] -0.580547986 -0.5903932748
## [7465,]  0.481568614  0.4789769417
## [7466,] -0.542188535 -0.5517718520
## [7467,] -0.156078652 -0.1630250711
## [7468,] -0.470500381 -0.4795941109
## [7469,]  1.543370793  1.5480305892
## [7470,] -0.063324242 -0.0696372043
## [7471,] -0.470500381 -0.4795941109
## [7472,] -0.627711246 -0.6378786308
## [7473,]  2.225665945  2.2349854056
## [7474,]  0.472764806  0.4701130086
## [7475,] -1.382323395 -1.1715507181
## [7476,] -1.539534260 -1.3663039914
## [7477,]  0.186641032  0.1820351823
## [7478,] -0.130924914 -0.1376995479
## [7479,] -1.602418605 -1.4441958037
## [7480,] -1.759629470 -1.6389490770
## [7481,]  0.252669595  0.2485146807
## [7482,] -0.344731690 -0.3529664950
## [7483,]  0.315553941  0.3118284887
## [7484,] -0.627711246 -0.6378786308
## [7485,]  0.158343077  0.1535439688
## [7486,] -1.177949271 -1.1918744505
## [7487,]  1.353145647  1.3565063201
## [7488,]  0.504206979  0.5017699126
## [7489,] -0.313289517 -0.3213095910
## [7490,]  0.001132212 -0.0047405512
## [7491,] -0.784922110 -0.7961631507
## [7492,]  1.754033351  1.7601318458
## [7493,] -0.242544628 -0.2500815570
## [7494,] -0.313289517 -0.3213095910
## [7495,] -0.942132975 -0.9544476706
## [7496,]  0.158343077  0.1535439688
## [7497,] -0.234684084 -0.2421673310
## [7498,] -0.391894949 -0.4004518509
## [7499,]  0.394159374  0.3909707486
## [7500,]  0.079737645  0.0744017088
## [7501,]  0.057728124  0.0522418760
## [7502,] -0.678018722 -0.6885296772
## [7503,]  0.001132212 -0.0047405512
## [7504,] -0.156078652 -0.1630250711
## [7505,] -0.439058208 -0.4479372069
## [7506,] -0.871388086 -0.8832196366
## [7507,]  0.315553941  0.3118284887
## [7508,] -0.313289517 -0.3213095910
## [7509,] -0.077473220 -0.0838828111
## [7510,] -0.344731690 -0.3529664950
## [7511,] -0.077473220 -0.0838828111
## [7512,] -0.784922110 -0.7961631507
## [7513,]  0.394159374  0.3909707486
## [7514,] -0.470500381 -0.4795941109
## [7515,] -0.077473220 -0.0838828111
## [7516,] -0.549105813 -0.5587363708
## [7517,]  0.001132212 -0.0047405512
## [7518,]  0.001132212 -0.0047405512
## [7519,] -0.784922110 -0.7961631507
## [7520,]  0.001132212 -0.0047405512
## [7521,] -0.352592233 -0.3608807209
## [7522,] -0.368313319 -0.3767091729
## [7523,] -1.555255346 -1.5717572983
## [7524,]  1.730451722  1.7363891678
## [7525,]  0.394159374  0.3909707486
## [7526,] -1.728187297 -1.7458702702
## [7527,] -1.728187297 -1.7458702702
## [7528,]  1.573240857  1.5781046479
## [7529,] -1.366602309 -1.3818158744
## [7530,]  0.944397399  0.9449665683
## [7531,]  0.158343077  0.1535439688
## [7532,]  1.927751357  1.9350362403
## [7533,]  0.758888579  0.7581908348
## [7534,] -0.942132975 -0.8822699295
## [7535,] -1.570976433 -1.5474922814
## [7536,]  1.101608264  1.1032510882
## [7537,] -0.061752133 -0.0680543591
## [7538,]  0.001132212 -0.0047405512
## [7539,] -0.784922110 -0.7961631507
## [7540,]  1.548087119  1.5527791248
## [7541,]  0.529360717  0.5270954357
## [7542,]  0.001132212 -0.0047405512
## [7543,]  0.001132212 -0.0047405512
## [7544,] -1.728187297 -1.7458702702
## [7545,] -0.470500381 -0.4795941109
## [7546,] -0.863527542 -0.8753054107
## [7547,]  0.158343077  0.1535439688
## [7548,] -0.234684084 -0.2421673310
## [7549,] -1.995445767 -1.9965138074
## [7550,]  1.038723918  1.0399372802
## [7551,] -0.093194306 -0.0997112631
## [7552,] -1.020738407 -1.0335899306
## [7553,] -1.335160136 -1.3501589704
## [7554,] -0.014588874 -0.0205690031
## [7555,] -0.486221468 -0.4954225629
## [7556,] -0.156078652 -0.1630250711
## [7557,] -0.470500381 -0.4795941109
## [7558,]  0.001132212 -0.0047405512
## [7559,] -0.627711246 -0.6378786308
## [7560,]  1.510356511  1.5147908400
## [7561,]  0.802907621  0.8025105004
## [7562,]  0.629975670  0.6283975285
## [7563,]  0.079737645  0.0744017088
## [7564,]  1.337424560  1.3406778681
## [7565,]  0.551370238  0.5492552685
## [7566,]  0.629975670  0.6283975285
## [7567,]  0.158343077  0.1535439688
## [7568,] -0.784922110 -0.7961631507
## [7569,] -0.313289517 -0.3213095910
## [7570,] -0.549105813 -0.5587363708
## [7571,] -1.177949271 -0.9172508084
## [7572,] -1.492371000 -1.3070580956
## [7573,] -0.706316678 -0.7170208907
## [7574,] -1.256554704 -1.2710167104
## [7575,]  0.857931424  0.8579100823
## [7576,] -0.121492262 -0.1282024767
## [7577,]  0.661417843  0.6600544325
## [7578,]  0.221227423  0.2168577767
## [7579,]  0.565519216  0.5635008753
## [7580,] -0.324294277 -0.3323895074
## [7581,] -0.313289517 -0.3213095910
## [7582,] -1.177949271 -1.1918744505
## [7583,]  0.394159374  0.3909707486
## [7584,] -0.470500381 -0.4795941109
## [7585,]  0.276251225  0.2722573587
## [7586,] -0.682735048 -0.6932782128
## [7587,] -1.177949271 -1.1918744505
## [7588,] -1.413765568 -1.4293012303
## [7589,]  0.535649152  0.5334268165
## [7590,] -0.124636479 -0.1313681671
## [7591,] -0.077473220 -0.0838828111
## [7592,] -0.784922110 -0.7961631507
## [7593,]  0.755744362 -1.6767790772
## [7594,]  0.394159374  0.3909707486
## [7595,] -0.470500381 -0.4795941109
## [7596,]  0.394159374  0.3909707486
## [7597,] -0.470500381 -0.4795941109
## [7598,]  0.787186535  0.7866820484
## [7599,] -0.077473220 -0.0838828111
## [7600,] -1.177949271 -0.9172508084
## [7601,] -1.413765568 -1.2096023167
## [7602,] -0.077473220 -0.0838828111
## [7603,] -0.784922110 -0.7961631507
## [7604,]  0.661417843  0.6600544325
## [7605,]  0.221227423  0.2168577767
## [7606,]  2.516506044  2.5278117674
## [7607,]  1.400308906  1.4039916760
## [7608,] -0.470500381 -0.4795941109
## [7609,] -0.863527542 -0.8753054107
## [7610,] -0.077473220 -0.0838828111
## [7611,] -0.234684084 -0.2421673310
## [7612,] -0.784922110 -0.7961631507
## [7613,] -1.130786012 -1.1443890945
## [7614,] -1.256554704 -1.2148890197
## [7615,] -1.806792729 -1.7969486847
## [7616,]  0.158343077  0.1535439688
## [7617,] -0.470500381 -0.4795941109
## [7618,]  0.629975670  0.6283975285
## [7619,]  0.001132212 -0.0047405512
## [7620,] -0.391894949 -0.4004518509
## [7621,] -0.470500381 -0.4795941109
## [7622,] -0.863527542 -0.8753054107
## [7623,]  0.001132212 -0.0047405512
## [7624,] -0.784922110 -0.7961631507
## [7625,] -1.649581865 -1.6306391397
## [7626,] -1.791071643 -1.7803129817
## [7627,] -0.534422319 -0.5439525967
## [7628,] -1.073152509 -1.0863619895
## [7629,]  0.394159374  0.3909707486
## [7630,] -0.156078652 -0.1630250711
## [7631,] -0.470500381 -0.4795941109
## [7632,] -0.863527542 -0.8753054107
## [7633,]  1.565380314  1.5701904219
## [7634,] -0.001225951 -0.0071148190
## [7635,] -0.431197665 -0.4400229809
## [7636,] -0.784922110 -0.7961631507
## [7637,]  1.565380314  1.5701904219
## [7638,] -0.001225951 -0.0071148190
## [7639,] -1.492371000 -1.5084434903
## [7640,] -1.602418605 -1.6192426542
## [7641,]  1.565380314  1.5701904219
## [7642,] -0.001225951 -0.0071148190
## [7643,] -1.476649914 -1.4477097200
## [7644,]  0.629975670  0.6283975285
## [7645,] -0.470500381 -0.4795941109
## [7646,] -0.360452776 -0.3687949469
## [7647,] -0.722037764 -0.7328493427
## [7648,]  0.944397399  0.9449665683
## [7649,]  0.001132212 -0.0047405512
## [7650,]  0.944397399  0.9449665683
## [7651,]  0.001132212 -0.0047405512
## [7652,]  0.944397399  0.9449665683
## [7653,] -0.313289517 -0.3213095910
## [7654,]  0.515997793  0.5136412515
## [7655,]  0.181924706  0.1772866467
## [7656,] -0.743418442 -0.7543760374
## [7657,] -1.317866941 -1.3327476732
## [7658,]  0.944397399  0.9449665683
## [7659,]  0.001132212 -0.0047405512
## [7660,]  0.768321231  0.7676879060
## [7661,] -0.429625556 -0.4384401357
## [7662,] -0.313289517 -0.3213095910
## [7663,] -1.099343839 -1.1127321905
## [7664,] -0.218962998 -0.2263388790
## [7665,] -0.722037764 -0.7328493427
## [7666,]  0.001132212 -0.0047405512
## [7667,] -0.784922110 -0.7961631507
## [7668,]  0.158343077  0.1535439688
## [7669,] -0.234684084 -0.2421673310
## [7670,]  1.038723918  1.0399372802
## [7671,] -0.093194306 -0.0997112631
## [7672,]  0.142621990  0.1377155168
## [7673,] -0.313289517 -0.3213095910
## [7674,] -0.534422319 -0.5439525967
## [7675,] -1.073152509 -1.0863619895
## [7676,]  1.023002831  1.0241088283
## [7677,]  0.001132212 -0.0047405512
## [7678,]  1.510356511  1.5147908400
## [7679,]  0.802907621  0.8025105004
## [7680,]  0.582812411  0.5809121725
## [7681,]  0.048295472  0.0427448048
## [7682,]  1.651846289  1.6572469079
## [7683,]  0.551370238  0.5492552685
## [7684,]  3.145349502  4.4425321194
## [7685,] -1.649581865 -1.5019538250
## [7686,] -1.602418605 -1.5807478590
## [7687,] -1.759629470 -1.7470574041
## [7688,]  0.299832855  0.2960000367
## [7689,] -0.618278594 -0.6283815596
## [7690,] -1.445207741 -1.4144541424
## [7691,] -0.156078652 -0.1630250711
## [7692,] -0.470500381 -0.4795941109
## [7693,] -1.177949271 -1.1918744505
## [7694,] -1.413765568 -1.4293012303
## [7695,] -1.570976433 -1.5875857502
## [7696,] -0.250405171 -0.2579957830
## [7697,] -0.407616035 -0.4162803029
## [7698,]  0.263674356  0.2595945971
## [7699,] -0.486221468 -0.4954225629
## [7700,] -0.403937301 -0.4125764452
## [7701,] -1.185180971 -1.1991555384
## [7702,] -0.784922110 -0.7961631507
## [7703,] -1.335160136 -1.3501589704
## [7704,]  0.787186535  0.7866820484
## [7705,]  1.101608264  1.1032510882
## [7706,] -0.061752133 -0.0680543591
## [7707,] -1.335160136 -1.2980358780
## [7708,] -1.806792729 -1.7969486847
## [7709,] -0.627711246 -0.6378786308
## [7710,] -1.256554704 -1.2710167104
## [7711,] -1.570976433 -1.5875857502
## [7712,] -0.470500381 -0.4795941109
## [7713,] -0.863527542 -0.8753054107
## [7714,]  0.001132212 -0.0047405512
## [7715,] -0.784922110 -0.7961631507
## [7716,] -1.649581865 -1.6306391397
## [7717,] -1.791071643 -1.7803129817
## [7718,]  0.629975670  0.6283975285
## [7719,] -0.234684084 -0.2421673310
## [7720,] -0.344731690 -0.3529664950
## [7721,] -1.075762209 -1.0889895125
## [7722,]  0.362717201  0.3593138446
## [7723,] -0.627711246 -0.6378786308
## [7724,]  0.661417843  0.6600544325
## [7725,] -0.470500381 -0.4795941109
## [7726,] -0.534422319 -0.5439525967
## [7727,] -1.073152509 -1.0863619895
## [7728,] -0.470500381 -0.4795941109
## [7729,] -0.863527542 -0.8753054107
## [7730,]  0.629975670  0.6283975285
## [7731,]  0.692860016  0.6917113364
## [7732,] -0.322722169 -0.3308066622
## [7733,]  0.802907621  0.8025105004
## [7734,] -0.954709844 -0.9671104322
## [7735,]  0.236948509  0.2326862287
## [7736,] -0.391894949 -0.4004518509
## [7737,]  1.258819128  1.2615356081
## [7738,]  0.724302189  0.7233682404
## [7739,] -0.313289517 -0.3213095910
## [7740,] -0.942132975 -0.9544476706
## [7741,]  0.001132212 -0.0047405512
## [7742,] -0.784922110 -0.7961631507
## [7743,]  1.258819128  1.2615356081
## [7744,]  0.001132212 -0.0047405512
## [7745,]  0.057728124  0.0522418760
## [7746,] -0.678018722 -0.6885296772
## [7747,] -0.313289517 -0.3213095910
## [7748,] -0.784922110 -0.7961631507
## [7749,]  1.038723918  1.0399372802
## [7750,] -0.093194306 -0.0997112631
## [7751,]  0.472764806  0.4701130086
## [7752,] -0.470500381 -0.4795941109
## [7753,]  0.158343077  0.1535439688
## [7754,] -0.234684084 -0.2421673310
## [7755,]  0.669278386  0.6679686585
## [7756,] -0.156078652 -0.1630250711
## [7757,]  0.040434928  0.0348305788
## [7758,] -0.313289517 -0.3213095910
## [7759,] -1.335160136 -1.3501589704
## [7760,] -1.492371000 -1.5084434903
## [7761,]  0.453113448  0.4503274436
## [7762,]  0.158343077  0.1535439688
## [7763,] -1.413765568 -1.3811827363
## [7764,] -1.570976433 -1.5474922814
## [7765,]  0.236948509  0.2326862287
## [7766,] -0.234684084 -0.2421673310
## [7767,]  0.315553941  0.3118284887
## [7768,] -0.391894949 -0.4004518509
## [7769,] -0.706316678 -0.7170208907
## [7770,] -1.256554704 -1.2710167104
## [7771,] -0.313289517 -0.3213095910
## [7772,] -0.863527542 -0.8753054107
## [7773,]  0.842210337  0.8420816304
## [7774,]  0.032574385  0.0269163528
## [7775,]  0.746783343  0.7460029268
## [7776,] -0.238457145 -0.2459661595
## [7777,] -0.470500381 -0.4795941109
## [7778,]  0.740023275  0.7391966924
## [7779,] -0.800643197 -0.8119916027
## [7780,]  1.101608264  1.1032510882
## [7781,]  0.189785250  0.1852008727
## [7782,] -0.704430147 -0.6308191412
## [7783,] -1.172289680 -1.1257431781
## [7784,] -1.460928827 -1.2680726184
## [7785,] -1.696745124 -1.5604241266
## [7786,] -0.013960031 -0.0199358651
## [7787,] -0.566399008 -0.5761476680
## [7788,] -0.863527542 -0.8753054107
## [7789,] -0.549105813 -0.5587363708
## [7790,]  0.331275028  0.3276569407
## [7791,] -0.784922110 -0.7961631507
## [7792,] -1.130786012 -1.1443890945
## [7793,] -0.470500381 -0.4795941109
## [7794,] -0.863527542 -0.8753054107
## [7795,] -0.627711246 -0.6378786308
## [7796,] -1.256554704 -1.2710167104
## [7797,] -1.570976433 -1.5875857502
## [7798,]  0.565519216  0.5635008753
## [7799,] -0.324294277 -0.3323895074
## [7800,]  0.001132212 -0.0047405512
## [7801,] -0.784922110 -0.7961631507
## [7802,]  1.258819128  1.2615356081
## [7803,]  0.073449210  0.0680703280
## [7804,]  0.857931424  0.8579100823
## [7805,] -0.121492262 -0.1282024767
## [7806,]  0.158343077  0.1535439688
## [7807,] -1.177949271 -1.1918744505
## [7808,] -1.649581865 -1.6306391397
## [7809,] -1.791071643 -1.7803129817
## [7810,]  0.991560659  0.9924519243
## [7811,]  0.032574385  0.0269163528
## [7812,] -0.156078652 -0.1630250711
## [7813,] -0.470500381 -0.4795941109
## [7814,] -0.627711246 -0.6378786308
## [7815,] -1.256554704 -1.2710167104
## [7816,]  1.214800086  1.2172159425
## [7817,]  0.284111768  0.2801715847
## [7818,] -1.398044482 -1.3645628617
## [7819,] -1.445207741 -1.4144541424
## [7820,]  1.463193252  1.4673054840
## [7821,]  0.519928065  0.5175983645
## [7822,]  0.394159374  0.3909707486
## [7823,]  0.001132212 -0.0047405512
## [7824,] -0.313289517 -0.3213095910
## [7825,] -0.942132975 -0.9544476706
## [7826,]  0.236948509  0.2326862287
## [7827,] -0.407616035 -0.4162803029
## [7828,]  0.441322633  0.4384561046
## [7829,] -0.281847344 -0.2896526870
## [7830,]  2.359295180  2.3695272475
## [7831,] -0.313289517 -0.3213095910
## [7832,]  0.299832855  0.2960000367
## [7833,] -0.618278594 -0.6283815596
## [7834,] -0.533384727 -0.5429079188
## [7835,] -0.847806456 -0.8594769587
## [7836,] -1.177949271 -0.9172508084
## [7837,] -1.460928827 -1.2680726184
## [7838,] -0.706316678 -0.7170208907
## [7839,] -1.256554704 -1.2710167104
## [7840,] -0.203241912 -0.7132853761
## [7841,]  0.692860016  0.6917113364
## [7842,] -0.322722169 -0.3308066622
## [7843,]  0.629975670  0.6283975285
## [7844,] -0.234684084 -0.2421673310
## [7845,] -0.784922110 -0.7961631507
## [7846,] -1.256554704 -1.2710167104
## [7847,]  0.626045399  0.6244404155
## [7848,] -0.152148381 -0.1590679581
## [7849,] -0.313289517 -0.3213095910
## [7850,] -0.784922110 -0.7961631507
## [7851,]  0.158343077  0.1535439688
## [7852,] -0.643432332 -0.6537070828
## [7853,]  1.573240857  1.5781046479
## [7854,]  0.001132212 -0.0047405512
## [7855,]  0.881513053  0.8816527603
## [7856,]  0.158343077  0.1535439688
## [7857,] -0.234684084 -0.2421673310
## [7858,] -0.470500381 -0.4795941109
## [7859,] -0.627711246 -0.5496666678
## [7860,] -1.256554704 -1.2148890197
## [7861,]  0.158343077  0.1535439688
## [7862,] -0.234684084 -0.2421673310
## [7863,]  0.001132212 -0.0047405512
## [7864,] -0.784922110 -0.7961631507
## [7865,] -0.470500381 -0.4795941109
## [7866,] -0.863527542 -0.8753054107
## [7867,] -1.335160136 -1.2980358780
## [7868,] -1.728187297 -1.7138018264
## [7869,]  0.648840974  0.6473916709
## [7870,] -0.313289517 -0.3213095910
## [7871,]  0.648840974  0.6473916709
## [7872,] -0.313289517 -0.3213095910
## [7873,] -1.366602309 -1.3312914556
## [7874,]  1.258819128  1.2615356081
## [7875,]  0.073449210  0.0680703280
## [7876,] -0.470500381 -0.4795941109
## [7877,] -0.863527542 -0.8753054107
## [7878,] -0.156078652 -0.1630250711
## [7879,] -0.470500381 -0.4795941109
## [7880,]  0.299832855  0.2960000367
## [7881,] -0.618278594 -0.6283815596
## [7882,] -1.099343839 -1.1127321905
## [7883,]  0.565519216  0.5635008753
## [7884,] -0.324294277 -0.3323895074
## [7885,] -0.234684084 -0.2421673310
## [7886,] -0.627711246 -0.6378786308
## [7887,]  0.079737645  0.0744017088
## [7888,] -0.156078652 -0.1630250711
## [7889,]  0.865791967  0.8658243083
## [7890,]  0.001132212 -0.0047405512
## [7891,]  0.464904263  0.4621987826
## [7892,] -0.250405171 -0.2579957830
## [7893,]  0.472764806  0.4701130086
## [7894,] -0.470500381 -0.4795941109
## [7895,]  0.565519216  0.5635008753
## [7896,] -0.324294277 -0.3323895074
## [7897,]  0.394159374  0.3909707486
## [7898,] -0.077473220 -0.0838828111
## [7899,]  1.337424560  1.3406778681
## [7900,]  0.394159374  0.3909707486
## [7901,] -1.948282507 -1.9466225268
## [7902,]  0.158343077  0.1535439688
## [7903,] -0.942132975 -0.9544476706
## [7904,] -1.335160136 -1.2980358780
## [7905,] -1.806792729 -1.7969486847
## [7906,] -0.077473220 -0.0838828111
## [7907,] -0.549105813 -0.5587363708
## [7908,]  0.236948509  0.2326862287
## [7909,] -0.234684084 -0.2421673310
## [7910,]  0.290400203  0.2865029655
## [7911,] -0.703172461 -0.7138552003
## [7912,] -1.256554704 -1.0147065873
## [7913,] -1.728187297 -1.5994096039
## [7914,]  0.787186535  0.7866820484
## [7915,]  0.158343077  0.1535439688
## [7916,] -1.649581865 -1.6306391397
## [7917,] -1.791071643 -1.7803129817
## [7918,]  0.768321231  0.7676879060
## [7919,] -0.429625556 -0.4384401357
## [7920,] -0.784922110 -0.7961631507
## [7921,] -0.784922110 -0.7159762129
## [7922,] -0.313289517 -0.3213095910
## [7923,] -0.784922110 -0.7961631507
## [7924,] -1.020738407 -0.7223550791
## [7925,] -1.413765568 -1.2096023167
## [7926,] -0.391894949 -0.4004518509
## [7927,] -0.627711246 -0.6378786308
## [7928,]  0.236948509  0.2326862287
## [7929,] -0.407616035 -0.4162803029
## [7930,] -0.030309961 -0.0363974551
## [7931,] -0.674874505 -0.6853639868
## [7932,]  0.001132212 -0.0047405512
## [7933,] -0.784922110 -0.7961631507
## [7934,]  0.158343077  0.1535439688
## [7935,] -0.234684084 -0.2421673310
## [7936,] -0.470500381 -0.4795941109
## [7937,] -0.863527542 -0.8753054107
## [7938,]  0.057728124  0.0522418760
## [7939,] -0.678018722 -0.6885296772
## [7940,] -0.784922110 -0.7961631507
## [7941,] -1.335160136 -1.3501589704
## [7942,] -0.470500381 -0.4795941109
## [7943,] -0.863527542 -0.8753054107
## [7944,] -1.413765568 -1.3811827363
## [7945,] -1.806792729 -1.7969486847
## [7946,]  2.516506044  2.5278117674
## [7947,]  1.400308906  1.4039916760
## [7948,]  2.351434636  2.3616130215
## [7949,]  1.496207534  1.5005452332
## [7950,]  0.284111768  0.2801715847
## [7951,] -0.313289517 -0.3213095910
## [7952,] -0.218962998 -0.2263388790
## [7953,] -0.722037764 -0.7328493427
## [7954,]  0.174064163  0.1693724207
## [7955,] -0.501942554 -0.5112510149
## [7956,]  0.865791967  0.8658243083
## [7957,]  0.535649152  0.5334268165
## [7958,]  0.565519216  0.5635008753
## [7959,] -0.324294277 -0.3323895074
## [7960,]  1.533938141  1.5385335180
## [7961,]  0.350140331  0.3466510830
## [7962,] -1.335160136 -1.2980358780
## [7963,]  0.425601546  0.4226276526
## [7964,] -0.297568430 -0.3054811390
## [7965,]  0.865791967  0.8658243083
## [7966,]  0.535649152  0.5334268165
## [7967,] -0.061752133 -0.0680543591
## [7968,] -0.753479937 -0.7645062467
## [7969,]  0.299832855  0.2960000367
## [7970,] -0.618278594 -0.6283815596
## [7971,]  1.258819128  1.2615356081
## [7972,]  0.724302189  0.7233682404
## [7973,] -0.234684084 -0.2421673310
## [7974,] -0.784922110 -0.7961631507
## [7975,] -1.099343839 -1.1127321905
## [7976,] -1.335160136 -1.3501589704
## [7977,] -0.234684084 -0.2421673310
## [7978,] -0.784922110 -0.7961631507
## [7979,] -1.570976433 -1.4045138745
## [7980,] -1.806792729 -1.6968653828
## [7981,]  0.394159374  0.3909707486
## [7982,] -0.234684084 -0.2421673310
## [7983,] -1.099343839 -1.1127321905
## [7984,]  1.278470486  1.2813211731
## [7985,] -0.175730010 -0.1828106361
## [7986,]  0.688929744  0.6877542234
## [7987,] -0.529454455 -0.5389508058
## [7988,]  1.278470486  1.2813211731
## [7989,] -0.175730010 -0.1828106361
## [7990,]  1.278470486  1.2813211731
## [7991,] -0.175730010 -0.1828106361
## [7992,]  1.278470486  1.2813211731
## [7993,] -0.175730010 -0.1828106361
## [7994,]  0.688929744  0.6877542234
## [7995,] -0.529454455 -0.5389508058
## [7996,]  0.912955226  0.9133096643
## [7997,] -0.360452776 -0.3687949469
## [7998,]  2.359295180  2.3695272475
## [7999,]  0.724302189  0.7233682404
## [8000,]  0.857931424  0.8579100823
## [8001,] -0.121492262 -0.1282024767
## [8002,] -1.640856662 -1.6579432193
## [8003,]  0.565519216  0.5635008753
## [8004,] -0.324294277 -0.3323895074
## [8005,] -1.649581865 -1.6306391397
## [8006,] -1.791071643 -1.7803129817
## [8007,]  0.857931424  0.8579100823
## [8008,] -0.121492262 -0.1282024767
## [8009,]  0.865791967  0.8658243083
## [8010,]  0.551370238  0.5492552685
## [8011,]  0.565519216  0.5635008753
## [8012,] -0.324294277 -0.3323895074
## [8013,]  1.533938141  1.5385335180
## [8014,]  0.350140331  0.3466510830
## [8015,]  0.158343077  0.1535439688
## [8016,] -0.234684084 -0.2421673310
## [8017,]  0.001132212 -0.0047405512
## [8018,] -0.784922110 -0.7961631507
## [8019,] -0.627711246 -0.6378786308
## [8020,] -0.863527542 -0.8753054107
## [8021,]  0.565519216  0.5635008753
## [8022,] -0.324294277 -0.3323895074
## [8023,]  0.865791967  0.8658243083
## [8024,]  0.535649152  0.5334268165
## [8025,]  3.538376663  3.5566611468
## [8026,]  0.648840974  0.6473916709
## [8027,] -0.313289517 -0.3213095910
## [8028,]  1.180213696  1.1823933482
## [8029,]  0.101747166  0.0965615416
## [8030,]  0.299832855  0.2960000367
## [8031,] -0.618278594 -0.6283815596
## [8032,]  0.857931424  0.8579100823
## [8033,] -0.121492262 -0.1282024767
## [8034,] -1.020738407 -0.7223550791
## [8035,] -1.335160136 -1.1121623662
## [8036,]  0.565519216  0.5635008753
## [8037,] -0.324294277 -0.3323895074
## [8038,] -0.145073892 -0.1519451547
## [8039,] -0.882392846 -0.8942995530
## [8040,]  3.145349502  3.1609498470
## [8041,] -0.234684084 -0.2421673310
## [8042,] -0.534422319 -0.5439525967
## [8043,] -1.073152509 -1.0863619895
## [8044,] -0.784922110 -0.7218169117
## [8045,] -1.838234902 -1.8566694341
## [8046,] -1.838234902 -1.8302042624
## [8047,]  0.802907621  0.8025105004
## [8048,] -0.486221468 -0.4954225629
## [8049,]  0.394159374  0.3909707486
## [8050,]  0.001132212 -0.0047405512
## [8051,]  0.072820367  0.0674371899
## [8052,] -0.413149858 -0.4218519180
## [8053,] -0.313289517 -0.3213095910
## [8054,] -0.784922110 -0.7961631507
## [8055,]  0.315553941  0.3118284887
## [8056,] -0.077473220 -0.0838828111
## [8057,] -0.234684084 -0.2421673310
## [8058,] -0.784922110 -0.7961631507
## [8059,]  1.533938141  1.5385335180
## [8060,]  0.350140331  0.3466510830
## [8061,]  0.433462090  0.4305418786
## [8062,] -0.250405171 -0.2579957830
## [8063,]  0.565519216  0.5635008753
## [8064,] -0.324294277 -0.3323895074
## [8065,]  0.670284536  0.6689816794
## [8066,] -0.079768499 -0.0861937651
## [8067,] -0.313289517 -0.3213095910
## [8068,] -0.706316678 -0.7170208907
## [8069,]  0.461838651  0.4591122344
## [8070,] -0.122639901 -0.1293579537
## [8071,]  2.595111476  2.6069540273
## [8072,]  1.180213696  1.1823933482
## [8073,]  1.477342230  1.4815510908
## [8074,]  0.104891383  0.0997272320
## [8075,]  0.881513053  0.8816527603
## [8076,]  0.158343077  0.1535439688
## [8077,] -0.643432332 -0.6537070828
## [8078,] -1.115064926 -1.1285606425
## [8079,]  0.158343077  0.1535439688
## [8080,] -0.643432332 -0.6537070828
## [8081,] -1.020738407 -0.9654326163
## [8082,]  0.512067522  0.5096841386
## [8083,] -0.336871146 -0.3450522690
## [8084,]  0.158343077  0.1535439688
## [8085,] -0.942132975 -0.9544476706
## [8086,] -1.141790772 -1.1554690109
## [8087,] -1.640149213 -1.6572309390
## [8088,] -0.360452776 -0.3687949469
## [8089,] -0.627711246 -0.6378786308
## [8090,]  0.944397399  0.9449665683
## [8091,] -0.218962998 -0.2263388790
## [8092,]  0.315553941  0.3118284887
## [8093,] -0.156078652 -0.1630250711
## [8094,]  1.533938141  1.5385335180
## [8095,]  0.350140331  0.3466510830
## [8096,]  1.180213696  1.1823933482
## [8097,]  0.537221260  0.5350096617
## [8098,] -0.313289517 -0.3213095910
## [8099,] -0.942132975 -0.9544476706
## [8100,] -0.470500381 -0.4795941109
## [8101,] -0.784922110 -0.7961631507
## [8102,] -1.020738407 -1.0335899306
## [8103,] -1.130786012 -1.1443890945
## [8104,]  0.174064163  0.1693724207
## [8105,] -0.627711246 -0.6378786308
## [8106,] -0.218962998 -0.2263388790
## [8107,] -0.722037764 -0.7328493427
## [8108,] -1.649581865 -1.6306391397
## [8109,] -1.791071643 -1.7803129817
## [8110,]  0.865791967  0.8658243083
## [8111,]  0.158343077  0.1535439688
## [8112,]  0.299832855  0.2960000367
## [8113,] -0.618278594 -0.6283815596
## [8114,] -1.570976433 -1.4045138745
## [8115,] -1.728187297 -1.5994096039
## [8116,]  0.158343077  0.1535439688
## [8117,] -0.313289517 -0.3213095910
## [8118,]  1.494635425  1.4989623880
## [8119,]  0.472764806  0.4701130086
## [8120,] -0.234684084 -0.2421673310
## [8121,] -0.784922110 -0.7961631507
## [8122,]  1.101608264  1.1032510882
## [8123,]  0.001132212 -0.0047405512
## [8124,]  0.762661640  0.7619896633
## [8125,] -0.093194306 -0.0997112631
## [8126,]  1.416029993  1.4198201280
## [8127,]  0.315553941  0.3118284887
## [8128,]  0.762661640  0.7619896633
## [8129,] -0.093194306 -0.0997112631
## [8130,]  0.001132212 -0.0047405512
## [8131,] -0.784922110 -0.7961631507
## [8132,] -0.470500381 -0.4795941109
## [8133,] -0.863527542 -0.8753054107
## [8134,] -1.618139692 -1.4629841762
## [8135,] -1.350881222 -1.3659874224
## [8136,] -1.759629470 -1.7470574041
## [8137,]  0.585956628  0.5840778629
## [8138,] -0.531812618 -0.5413250736
## [8139,]  0.001132212 -0.0047405512
## [8140,] -0.360452776 -0.3687949469
## [8141,]  1.966268018  1.9738159477
## [8142,]  0.252669595  0.2485146807
## [8143,]  0.153611030  0.1487796047
## [8144,] -0.172774446 -0.1798348871
## [8145,] -1.162228185 -1.1760459985
## [8146,]  0.263674356  0.2595945971
## [8147,] -0.486221468 -0.4954225629
## [8148,] -0.313289517 -0.3213095910
## [8149,] -0.784922110 -0.7961631507
## [8150,] -1.036459493 -0.7418399035
## [8151,] -1.177949271 -0.9172508084
## [8152,] -1.099343839 -1.1127321905
## [8153,] -1.531673716 -1.5480146203
## [8154,]  1.353145647  1.3565063201
## [8155,]  0.504206979  0.5017699126
## [8156,]  0.472764806  0.4701130086
## [8157,] -0.156078652 -0.1630250711
## [8158,]  1.180213696  1.1823933482
## [8159,]  0.101747166  0.0965615416
## [8160,] -0.234684084 -0.2421673310
## [8161,] -0.784922110 -0.7961631507
## [8162,]  0.857931424  0.8579100823
## [8163,] -0.121492262 -0.1282024767
## [8164,]  1.416029993  1.4198201280
## [8165,] -0.385543630 -0.3940571563
## [8166,]  2.359295180  2.3695272475
## [8167,] -0.313289517 -0.3213095910
## [8168,]  0.708581102  0.7075397884
## [8169,]  0.394159374  0.3909707486
## [8170,]  0.079737645  0.0744017088
## [8171,] -0.627711246 -0.6378786308
## [8172,] -0.423337122 -0.4321087549
## [8173,] -0.906760530 -0.9188336536
## [8174,]  0.315553941  0.3118284887
## [8175,]  0.001132212 -0.0047405512
## [8176,]  0.472764806  0.4701130086
## [8177,] -0.784922110 -0.7961631507
## [8178,] -0.832085369 -0.8436485067
## [8179,] -0.942132975 -0.9544476706
## [8180,]  0.787186535  0.7866820484
## [8181,]  0.158343077  0.1535439688
## [8182,]  0.944397399  0.9449665683
## [8183,]  0.472764806  0.4701130086
## [8184,]  1.730451722  1.7363891678
## [8185,]  0.472764806  0.4701130086
## [8186,]  0.944397399  0.9449665683
## [8187,]  0.111179817  0.1060586128
## [8188,]  0.472764806  0.4701130086
## [8189,] -0.784922110 -0.7961631507
## [8190,] -1.099343839 -1.1127321905
## [8191,] -1.531673716 -1.5480146203
## [8192,] -0.344731690 -0.3529664950
## [8193,] -1.075762209 -1.0889895125
## [8194,] -0.706316678 -0.7170208907
## [8195,] -1.256554704 -1.2710167104
## [8196,]  0.394159374  0.3909707486
## [8197,] -0.431197665 -0.4400229809
## [8198,]  0.331275028  0.3276569407
## [8199,] -0.517663640 -0.5270794669
## [8200,]  0.831205577  0.8310017140
## [8201,] -0.717321438 -0.7281008071
## [8202,] -1.602418605 -1.5807478590
## [8203,] -1.806792729 -1.7969486847
## [8204,]  0.740023275  0.7391966924
## [8205,] -0.800643197 -0.8119916027
## [8206,]  0.158343077  0.1535439688
## [8207,] -0.627711246 -0.6378786308
## [8208,]  0.565519216  0.5635008753
## [8209,] -0.324294277 -0.3323895074
## [8210,] -1.885398161 -1.9041547901
## [8211,] -1.130786012 -1.1443890945
## [8212,] -1.602418605 -1.6192426542
## [8213,]  0.315553941  0.3118284887
## [8214,] -0.313289517 -0.3213095910
## [8215,]  0.001132212 -0.0047405512
## [8216,] -0.863527542 -0.8753054107
## [8217,] -1.130786012 -1.1443890945
## [8218,] -1.696745124 -1.7142133662
## [8219,]  3.076176722  3.0913046583
## [8220,]  1.265107563  1.2678669889
## [8221,] -0.077473220 -0.0838828111
## [8222,] -0.549105813 -0.5587363708
## [8223,] -1.130786012 -1.1443890945
## [8224,] -1.602418605 -1.6192426542
## [8225,]  0.409094406  0.4060077780
## [8226,] -0.312503462 -0.3205181684
## [8227,]  0.875224619  0.8753213795
## [8228,] -0.695311917 -0.7059409744
## [8229,]  1.362578299  1.3660033913
## [8230,] -0.954709844 -0.9671104322
## [8231,] -1.036459493 -1.0494183826
## [8232,] -1.508092087 -1.5242719423
## [8233,] -1.099343839 -1.1127321905
## [8234,]  0.787186535  0.7866820484
## [8235,] -0.847806456 -1.2117866431
## [8236,]  0.236948509  0.2326862287
## [8237,] -1.932561421 -1.8527756349
## [8238,]  0.565519216  0.5635008753
## [8239,] -0.324294277 -0.3323895074
## [8240,]  0.299832855  0.2960000367
## [8241,] -0.618278594 -0.6283815596
## [8242,] -0.784922110 -1.1910830279
## [8243,]  1.180213696  1.1823933482
## [8244,]  0.537221260  0.5350096617
## [8245,]  0.565519216  0.5635008753
## [8246,] -0.324294277 -0.3323895074
## [8247,]  1.180213696  1.1823933482
## [8248,]  0.101747166  0.0965615416
## [8249,]  0.565519216  0.5635008753
## [8250,] -0.324294277 -0.3323895074
## [8251,] -0.659153419 -0.6695355348
## [8252,]  0.079737645  0.0744017088
## [8253,] -1.759629470 -1.7775271741
## [8254,] -1.020738407 -1.0335899306
## [8255,] -1.335160136 -1.3501589704
## [8256,]  0.079737645  0.0744017088
## [8257,] -1.759629470 -1.7775271741
## [8258,] -0.942132975 -0.6248993002
## [8259,] -1.177949271 -0.9172508084
## [8260,]  0.057728124  0.0522418760
## [8261,] -0.678018722 -0.6885296772
## [8262,]  0.551370238  0.5492552685
## [8263,] -1.570976433 -1.5875857502
## [8264,]  0.565519216  0.5635008753
## [8265,] -0.324294277 -0.3323895074
## [8266,]  0.079737645  0.0744017088
## [8267,] -1.759629470 -1.7775271741
## [8268,]  0.284111768  0.2801715847
## [8269,] -0.313289517 -0.3213095910
## [8270,] -0.417048687 -0.4257773741
## [8271,] -0.972003039 -0.9845217294
## [8272,] -0.470500381 -0.4795941109
## [8273,] -1.492371000 -1.5084434903
## [8274,]  0.565519216  0.5635008753
## [8275,] -0.324294277 -0.3323895074
## [8276,]  0.648840974  0.6473916709
## [8277,] -0.313289517 -0.3213095910
## [8278,]  0.299832855  0.2960000367
## [8279,] -0.618278594 -0.6283815596
## [8280,]  0.001132212 -0.0047405512
## [8281,] -0.470500381 -0.4795941109
## [8282,] -0.171799739 -0.1788535231
## [8283,] -0.439058208 -0.4479372069
## [8284,]  0.565519216  0.5635008753
## [8285,] -0.324294277 -0.3323895074
## [8286,] -0.162367087 -0.1693564519
## [8287,] -1.009733646 -1.0225100142
## [8288,]  0.551370238  0.5492552685
## [8289,] -1.570976433 -1.5875857502
## [8290,]  0.565519216  0.5635008753
## [8291,] -0.324294277 -0.3323895074
## [8292,]  1.180213696  1.1823933482
## [8293,]  0.101747166  0.0965615416
## [8294,]  0.787186535  0.7866820484
## [8295,]  0.394159374  0.3909707486
## [8296,]  0.565519216  0.5635008753
## [8297,] -0.324294277 -0.3323895074
## [8298,] -0.022449417 -0.0284832291
## [8299,] -0.813220066 -0.8246543643
## [8300,] -0.549105813 -0.5587363708
## [8301,] -0.863527542 -0.8753054107
## [8302,]  1.180213696  1.1823933482
## [8303,] -1.319439049 -1.3343305184
## [8304,]  0.551370238  0.5492552685
## [8305,] -1.570976433 -1.5875857502
## [8306,] -1.649581865 -1.6306391397
## [8307,] -1.791071643 -1.7803129817
## [8308,] -0.250405171 -0.2579957830
## [8309,] -0.816364283 -0.8278200547
## [8310,] -0.706316678 -0.7170208907
## [8311,] -1.382323395 -1.3976443264
## [8312,] -1.460928827 -1.4767865863
## [8313,]  0.944397399  0.1742950693
## [8314,] -0.090050089 -0.0965455727
## [8315,] -0.543446222 -0.5530381281
## [8316,] -0.470500381 -1.0625401693
## [8317,] -1.256554704 -1.2148890197
## [8318,] -1.728187297 -1.7138018264
## [8319,]  0.315553941  0.3118284887
## [8320,]  0.001132212 -0.0047405512
## [8321,]  0.472764806  0.4701130086
## [8322,]  0.158343077  0.1535439688
## [8323,] -0.659153419 -0.6695355348
## [8324,]  0.787186535  0.7866820484
## [8325,]  0.001132212 -0.0047405512
## [8326,]  0.221227423 -0.3850032818
## [8327,]  0.609538258  0.6078205409
## [8328,]  0.164552906  0.1597962073
## [8329,] -0.534422319 -0.5439525967
## [8330,] -1.073152509 -1.0863619895
## [8331,]  2.359295180  2.3695272475
## [8332,]  1.180213696  1.1823933482
## [8333,]  0.762661640  0.7619896633
## [8334,] -0.093194306 -0.0997112631
## [8335,]  0.653164273  0.6517444952
## [8336,] -0.132103995 -0.1388866818
## [8337,] -1.602418605 -1.5807478590
## [8338,] -1.806792729 -1.7969486847
## [8339,] -1.225112531 -1.1816176136
## [8340,]  0.109104634  0.1039692571
## [8341,]  0.787186535  0.7866820484
## [8342,]  0.762661640  0.7619896633
## [8343,] -0.093194306 -0.0997112631
## [8344,] -1.319439049 -1.2814001749
## [8345,] -0.942132975 -0.9544476706
## [8346,] -0.470500381 -0.3833571228
## [8347,] -1.099343839 -1.0485794746
## [8348,]  0.787186535  0.7866820484
## [8349,]  0.472764806  0.4701130086
## [8350,] -0.659153419 -0.6695355348
## [8351,] -1.020738407 -1.0335899306
## [8352,]  0.944397399  0.9449665683
## [8353,]  0.472764806  0.4701130086
## [8354,]  0.236948509  0.2326862287
## [8355,] -0.281847344 -0.2896526870
## [8356,] -0.313289517 -0.3213095910
## [8357,] -0.627711246 -0.6378786308
## [8358,] -1.335160136 -1.6659365876
## [8359,] -1.476649914 -1.7137701695
## [8360,] -0.234684084 -0.2421673310
## [8361,]  0.453899502  0.4511188662
## [8362,] -0.280275235 -0.2880698418
## [8363,] -2.042609026 -2.0624393100
## [8364,] -0.156078652 -0.1630250711
## [8365,] -0.627711246 -0.6378786308
## [8366,]  0.158343077  0.1535439688
## [8367,] -1.020738407 -1.0335899306
## [8368,]  1.573240857  1.5781046479
## [8369,] -1.366602309 -1.3818158744
## [8370,]  0.585956628  0.5840778629
## [8371,] -0.531812618 -0.5413250736
## [8372,]  0.787186535  0.7866820484
## [8373,] -0.077473220 -0.0838828111
## [8374,]  1.258787686  1.2615039512
## [8375,]  0.072584550  0.0671997631
## [8376,]  1.023002831  1.0241088283
## [8377,]  0.142621990  0.1377155168
## [8378,]  1.258787686  1.2615039512
## [8379,]  0.072584550  0.0671997631
## [8380,] -1.570976433 -1.5875857502
## [8381,]  0.519928065  0.5175983645
## [8382,] -0.788852382 -0.8001202637
## [8383,] -1.281708442 -1.2963422336
## [8384,]  1.367294625  1.3707519269
## [8385,]  0.145766208  0.1408812072
## [8386,]  1.466730496  1.4708668857
## [8387,]  0.469227561  0.4665516069
## [8388,]  0.394159374  0.3909707486
## [8389,]  0.001132212 -0.0047405512
## [8390,]  0.944397399  0.9449665683
## [8391,]  0.472764806  0.4701130086
## [8392,] -0.030309961 -0.0363974551
## [8393,] -0.344731690 -0.3529664950
## [8394,]  0.629975670  0.6283975285
## [8395,] -0.234684084 -0.2421673310
## [8396,] -0.313289517 -0.3213095910
## [8397,] -0.627711246 -0.6378786308
## [8398,]  0.653164273  0.6517444952
## [8399,] -0.132103995 -0.1388866818
## [8400,]  0.158343077  0.1535439688
## [8401,] -1.020738407 -1.0335899306
## [8402,]  1.070166091  1.0715941842
## [8403,] -0.072756894 -0.0791342755
## [8404,]  0.714869537  0.7138711692
## [8405,] -0.292852104 -0.3007326034
## [8406,] -0.706316678 -0.7170208907
## [8407,]  0.653164273  0.6517444952
## [8408,] -0.132103995 -0.1388866818
## [8409,]  0.897234140  0.8974812123
## [8410,]  0.048295472  0.0427448048
## [8411,]  0.653164273  0.6517444952
## [8412,] -0.132103995 -0.1388866818
## [8413,] -0.627711246 -0.6378786308
## [8414,] -0.800643197 -0.8119916027
## [8415,]  0.653164273  0.6517444952
## [8416,] -0.132103995 -0.1388866818
## [8417,]  0.653164273  0.6517444952
## [8418,] -0.132103995 -0.1388866818
## [8419,]  0.653164273  0.6517444952
## [8420,] -0.132103995 -0.1388866818
## [8421,]  0.787186535  0.7866820484
## [8422,] -0.234684084 -0.2421673310
## [8423,]  0.897234140  0.8974812123
## [8424,]  0.048295472  0.0427448048
## [8425,]  0.653164273  0.6517444952
## [8426,] -0.132103995 -0.1388866818
## [8427,]  0.653164273  0.6517444952
## [8428,] -0.132103995 -0.1388866818
## [8429,]  0.653164273  0.6517444952
## [8430,] -0.132103995 -0.1388866818
## [8431,]  0.719585863  0.7186197048
## [8432,] -0.305428973 -0.3133953650
## [8433,] -0.313289517 -0.3213095910
## [8434,] -1.036459493 -1.0494183826
## [8435,] -0.784922110 -0.7961631507
## [8436,] -1.413765568 -1.4293012303
## [8437,] -1.335160136 -1.1121623662
## [8438,] -1.492371000 -1.3070580956
## [8439,] -0.135641240 -0.1424480835
## [8440,] -0.751907829 -0.7629234015
## [8441,] -1.602418605 -1.5807478590
## [8442,] -1.806792729 -1.7969486847
## [8443,]  0.001132212 -0.0047405512
## [8444,] -1.052180580 -0.7613405563
## [8445,] -0.093194306 -0.0997112631
## [8446,] -0.580547986 -0.5903932748
## [8447,] -1.885398161 -1.8800955430
## [8448,]  0.714869537  0.7138711692
## [8449,] -0.292852104 -0.3007326034
## [8450,]  0.714869537  0.7138711692
## [8451,] -0.292852104 -0.3007326034
## [8452,]  0.714869537  0.7138711692
## [8453,] -0.292852104 -0.3007326034
## [8454,]  0.629975670  0.6283975285
## [8455,] -0.234684084 -0.2421673310
## [8456,] -0.234684084 -0.2421673310
## [8457,] -1.099343839 -1.1127321905
## [8458,]  0.158343077  0.1535439688
## [8459,] -1.020738407 -1.0335899306
## [8460,]  0.453899502  0.4511188662
## [8461,] -0.280275235 -0.2880698418
## [8462,] -1.413765568 -1.4293012303
## [8463,] -1.413765568 -1.3811827363
## [8464,] -1.570976433 -1.5875857502
## [8465,] -0.156078652 -0.1630250711
## [8466,] -0.706316678 -0.7170208907
## [8467,] -1.335160136 -1.1121623662
## [8468,] -1.492371000 -1.3070580956
## [8469,]  0.629975670  0.6283975285
## [8470,] -0.156078652 -0.1630250711
## [8471,] -0.784922110 -0.7961631507
## [8472,] -1.413765568 -1.4293012303
## [8473,]  0.472764806  0.4701130086
## [8474,]  0.236948509  0.2326862287
## [8475,] -0.659153419 -0.6695355348
## [8476,] -2.042609026 -2.0624393100
## [8477,]  0.629975670  0.6283975285
## [8478,] -0.234684084 -0.2421673310
## [8479,]  0.463332154  0.4606159374
## [8480,]  0.064016558  0.0585732568
## [8481,]  0.691287907  0.6901284912
## [8482,] -0.324294277 -0.3323895074
## [8483,]  1.143111932  1.1450382015
## [8484,]  0.506722352  0.5043024649
## [8485,]  0.001132212 -0.0047405512
## [8486,] -0.784922110 -0.7961631507
## [8487,] -0.431197665 -0.4400229809
## [8488,] -0.784922110 -0.7961631507
## [8489,]  2.319992463  2.3299561175
## [8490,]  1.730451722  1.7363891678
## [8491,] -2.121214458 -2.1415815699
## [8492,]  0.677138930  0.6758828845
## [8493,] -0.894969715 -0.9069623146
## [8494,] -1.209391444 -1.2235313545
## [8495,] -0.784922110 -0.7961631507
## [8496,] -1.413765568 -1.4293012303
## [8497,] -0.203336238 -0.2106053977
## [8498,] -0.760240004 -0.7713124811
## [8499,]  1.573240857  1.5781046479
## [8500,] -1.366602309 -1.3818158744
## [8501,] -0.250405171 -0.2579957830
## [8502,] -0.816364283 -0.8278200547
## [8503,]  0.653164273  0.6517444952
## [8504,] -0.132103995 -0.1388866818
## [8505,] -1.492371000 -1.4643454230
## [8506,] -0.218962998 -0.2263388790
## [8507,] -0.596269073 -0.6062217268
## [8508,]  0.346996114  0.3434853926
## [8509,] -0.156078652 -0.1630250711
## [8510,]  1.023002831  1.0241088283
## [8511,]  0.221227423  0.2168577767
## [8512,]  2.359295180  2.3695272475
## [8513,] -0.313289517 -0.3213095910
## [8514,]  1.573240857  1.5781046479
## [8515,] -1.366602309 -1.3818158744
## [8516,]  0.472764806  0.4701130086
## [8517,]  0.001132212 -0.0047405512
## [8518,] -1.838234902 -1.6605549139
## [8519,]  1.573240857  1.5781046479
## [8520,] -1.366602309 -1.3818158744
## [8521,]  0.653164273  0.6517444952
## [8522,] -0.132103995 -0.1388866818
## [8523,] -0.824224826 -0.8357342807
## [8524,]  0.988416441  0.9892862339
## [8525,] -0.112059610 -0.1187054055
## [8526,] -1.256554704 -1.2148890197
## [8527,] -1.570976433 -1.5875857502
## [8528,]  0.029430168  0.0237506624
## [8529,] -0.309516456 -0.3175107625
## [8530,]  0.236948509  0.2326862287
## [8531,] -0.152148381 -0.1590679581
## [8532,] -0.234684084 -0.2421673310
## [8533,] -0.549105813 -0.5587363708
## [8534,]  0.463332154  0.4606159374
## [8535,]  0.064016558  0.0585732568
## [8536,]  0.653164273  0.6517444952
## [8537,] -0.132103995 -0.1388866818
## [8538,]  0.653164273  0.6517444952
## [8539,] -0.132103995 -0.1388866818
## [8540,]  0.653164273  0.6517444952
## [8541,] -0.132103995 -0.1388866818
## [8542,] -1.177949271 -1.1918744505
## [8543,] -1.099343839 -1.0485794746
## [8544,] -1.256554704 -1.2148890197
## [8545,] -1.099343839 -0.8198108580
## [8546,] -1.256554704 -1.0147065873
## [8547,] -1.099343839 -1.0485794746
## [8548,] -1.256554704 -1.2148890197
## [8549,]  0.653164273  0.6517444952
## [8550,] -0.132103995 -0.1388866818
## [8551,]  0.653164273  0.6517444952
## [8552,] -0.132103995 -0.1388866818
## [8553,] -1.046269451 -0.7540119830
## [8554,] -1.335097251 -1.1120832240
## [8555,]  0.653164273  0.6517444952
## [8556,] -0.132103995 -0.1388866818
## [8557,] -1.021398692 -0.7231781586
## [8558,] -1.306516316 -1.0766433200
## [8559,]  0.653164273  0.6517444952
## [8560,] -0.132103995 -0.1388866818
## [8561,]  0.653164273  0.6517444952
## [8562,] -0.132103995 -0.1388866818
## [8563,] -0.549105813 -0.5587363708
## [8564,] -1.885398161 -1.8800955430
## [8565,] -1.083622753 -1.0969037385
## [8566,] -1.319439049 -1.3343305184
## [8567,] -1.633860778 -1.6508995582
## [8568,] -1.099343839 -1.1127321905
## [8569,]  0.787186535  0.7866820484
## [8570,]  0.472764806  0.4701130086
## [8571,]  0.787186535  0.7866820484
## [8572,]  0.851642989  0.8515787016
## [8573,] -0.217390889 -0.2247560338
## [8574,]  1.573240857  1.5781046479
## [8575,] -1.366602309 -1.3818158744
## [8576,] -0.847806456 -0.5079586968
## [8577,] -0.942132975 -0.6248993002
## [8578,] -0.470500381 -2.0771122850
## [8579,]  0.653164273  0.6517444952
## [8580,] -0.132103995 -0.1388866818
## [8581,]  0.653164273  0.6517444952
## [8582,] -0.132103995 -0.1388866818
## [8583,]  0.653164273  0.6517444952
## [8584,] -0.132103995 -0.1388866818
## [8585,] -0.863527542 -0.8753054107
## [8586,] -1.256554704 -1.2710167104
## [8587,] -1.177949271 -1.1918744505
## [8588,] -0.580547986 -0.5903932748
## [8589,]  0.315553941  0.3118284887
## [8590,] -0.313289517 -0.3213095910
## [8591,] -0.580547986 -0.5903932748
## [8592,] -0.156078652 -0.1630250711
## [8593,] -1.570976433 -1.5875857502
## [8594,] -1.146507098 -1.5342755239
## [8595,]  0.394159374  0.3909707486
## [8596,] -0.156078652 -0.1630250711
## [8597,] -1.908979791 -1.9050411834
## [8598,]  1.573240857  1.5781046479
## [8599,] -1.366602309 -1.3818158744
## [8600,]  0.158343077  0.1535439688
## [8601,] -0.481505142 -0.4906740273
## [8602,] -0.077473220 -0.0838828111
## [8603,] -0.706316678 -0.7170208907
## [8604,] -0.942132975 -0.9544476706
## [8605,] -0.058607916 -0.0648886687
## [8606,] -0.403371342 -0.4120066209
## [8607,]  1.180213696  1.1823933482
## [8608,]  0.158343077  0.1535439688
## [8609,] -1.539534260 -1.5142367037
## [8610,]  0.563947107  0.5619180301
## [8611,] -0.196953477 -0.2041790462
## [8612,]  1.494635425  1.4989623880
## [8613,]  0.472764806  0.4701130086
## [8614,]  0.842210337  0.8420816304
## [8615,]  0.032574385  0.0269163528
## [8616,]  1.573240857  1.5781046479
## [8617,] -1.366602309 -1.3818158744
## [8618,]  0.567091324  0.5650837205
## [8619,] -0.017733091 -0.0237346935
## [8620,] -0.722037764 -0.3520484447
## [8621,] -1.067901666 -1.0810752865
## [8622,] -0.627711246 -0.6378786308
## [8623,]  0.362717201  0.3593138446
## [8624,]  0.842210337  0.8420816304
## [8625,]  0.032574385  0.0269163528
## [8626,]  0.567091324  0.5650837205
## [8627,] -0.017733091 -0.0237346935
## [8628,]  0.126900904  0.1218870648
## [8629,] -0.250405171 -0.2579957830
## [8630,]  0.315553941  0.3118284887
## [8631,] -0.470500381 -0.4795941109
## [8632,]  0.787186535  0.7866820484
## [8633,]  0.001132212 -0.0047405512
## [8634,]  1.041868135  1.0431029706
## [8635,] -0.091622198 -0.0981284179
## [8636,] -0.627711246 -0.5496666678
## [8637,] -1.020738407 -0.9654326163
## [8638,]  1.573240857  1.5781046479
## [8639,] -1.366602309 -1.3818158744
## [8640,] -0.234684084 -0.2421673310
## [8641,] -1.020738407 -1.0335899306
## [8642,] -0.234684084 -0.2421673310
## [8643,] -1.020738407 -1.0335899306
## [8644,]  0.881513053  0.8816527603
## [8645,]  0.395731482  0.3925535938
## [8646,]  0.624473290  0.6228575703
## [8647,]  0.236885625  0.2326229149
## [8648,] -0.013960031 -0.0199358651
## [8649,] -0.566399008 -0.5761476680
## [8650,]  0.064016558  0.0585732568
## [8651,] -0.376173862 -0.3846233989
## [8652,]  0.787186535  0.7866820484
## [8653,]  0.001132212 -0.0047405512
## [8654,]  0.719585863  0.7186197048
## [8655,] -0.305428973 -0.3133953650
## [8656,]  0.315553941  0.3118284887
## [8657,] -0.234684084 -0.2421673310
## [8658,] -1.099343839 -0.8198108580
## [8659,] -1.413765568 -1.2096023167
## [8660,] -0.517663640 -0.5270794669
## [8661,] -0.793568708 -0.8048687993
## [8662,]  0.787186535  0.7866820484
## [8663,] -0.234684084 -0.2421673310
## [8664,]  0.691287907  0.6901284912
## [8665,] -0.324294277 -0.3323895074
## [8666,] -1.649581865 -1.5019538250
## [8667,] -1.256554704 -1.0147065873
## [8668,] -1.570976433 -1.4045138745
## [8669,]  0.394159374  0.3909707486
## [8670,] -0.313289517 -0.3213095910
## [8671,]  0.600105606  0.5983234697
## [8672,] -0.158279604 -0.1652410543
## [8673,]  1.552803445  1.5575276603
## [8674,]  0.269962791  0.2659259779
## [8675,] -0.417048687 -0.4257773741
## [8676,] -0.972003039 -0.9845217294
## [8677,] -1.602418605 -1.5807478590
## [8678,]  1.494635425  1.4989623880
## [8679,]  0.865791967  0.8658243083
## [8680,] -0.135641240 -0.1424480835
## [8681,] -0.751907829 -0.7629234015
## [8682,] -0.135641240 -0.1424480835
## [8683,] -0.751907829 -0.7629234015
## [8684,] -1.570976433 -1.5875857502
## [8685,] -1.099343839 -1.0485794746
## [8686,] -1.570976433 -1.4045138745
## [8687,]  1.573240857  1.5781046479
## [8688,] -1.366602309 -1.3818158744
## [8689,]  0.622115127  0.6204833025
## [8690,] -0.154506544 -0.1614422259
## [8691,]  0.435034198  0.4321247238
## [8692,] -0.292852104 -0.3007326034
## [8693,] -1.979724680 -1.9991255020
## [8694,] -1.979724680 -1.9991255020
## [8695,]  1.573240857  1.5781046479
## [8696,] -1.366602309 -1.3818158744
## [8697,]  0.832777685  0.8325845592
## [8698,] -0.292852104 -0.3007326034
## [8699,] -0.077473220 -0.0838828111
## [8700,] -0.549105813 -0.5587363708
## [8701,] -0.549105813 -0.5587363708
## [8702,]  0.691287907  0.6901284912
## [8703,] -0.324294277 -0.3323895074
## [8704,]  0.472764806  0.4701130086
## [8705,] -0.156078652 -0.1630250711
## [8706,]  1.041868135  1.0431029706
## [8707,] -0.091622198 -0.0981284179
## [8708,]  1.038723918  1.0399372802
## [8709,] -0.093194306 -0.0997112631
## [8710,]  0.001132212 -0.0047405512
## [8711,] -1.570976433 -1.5875857502
## [8712,]  1.573240857  1.5781046479
## [8713,] -1.099343839 -1.0485794746
## [8714,] -0.674874505 -0.2935781431
## [8715,] -1.602418605 -1.6192426542
## [8716,]  1.738312265  1.7443033938
## [8717,]  0.395731482  0.3925535938
## [8718,]  0.944397399  0.9449665683
## [8719,] -0.784922110 -0.7961631507
## [8720,] -1.492371000 -1.5084434903
## [8721,] -0.313289517 -0.3213095910
## [8722,] -1.203103010 -1.1583339607
## [8723,] -1.578836976 -1.5558022186
## [8724,]  0.892502093  0.8927168483
## [8725,] -0.799071088 -0.8104087575
## [8726,]  0.787186535  0.7866820484
## [8727,] -1.508092087 -1.5242719423
## [8728,]  1.573240857  1.5781046479
## [8729,] -1.366602309 -1.3818158744
## [8730,]  1.573240857  1.5781046479
## [8731,] -1.366602309 -1.3818158744
## [8732,]  1.573240857  1.5781046479
## [8733,] -1.366602309 -1.3818158744
## [8734,] -0.313289517 -0.3213095910
## [8735,] -0.784922110 -0.7961631507
## [8736,] -1.099343839 -1.1127321905
## [8737,]  0.158343077  0.1535439688
## [8738,] -0.784922110 -0.7961631507
## [8739,]  1.122045676  1.1238280758
## [8740,] -0.019305200 -0.0253175387
## [8741,] -1.885398161 -1.9041547901
## [8742,] -1.932561421 -1.9299868237
## [8743,] -1.193670358 -0.9367514613
## [8744,] -1.570976433 -1.4045138745
## [8745,] -1.445207741 -1.4144541424
## [8746,]  1.561607253  1.5663915935
## [8747,]  0.557658673  0.5555866493
## [8748,]  0.315553941  0.3118284887
## [8749,] -0.313289517 -0.3213095910
## [8750,] -1.335160136 -1.1121623662
## [8751,] -0.330975739 -0.3391165995
## [8752,] -0.883964955 -0.8958823982
## [8753,]  0.472764806  0.4701130086
## [8754,] -0.784922110 -0.7961631507
## [8755,] -0.214875515 -0.2222234815
## [8756,] -0.639030428 -0.6492751162
## [8757,]  0.158343077  0.1535439688
## [8758,] -0.910690802 -0.9227907666
## [8759,]  0.787186535  0.7866820484
## [8760,]  0.158343077  0.1535439688
## [8761,] -0.627711246 -0.2351078414
## [8762,] -1.020738407 -0.7223550791
## [8763,] -0.517663640 -0.5270794669
## [8764,] -0.793568708 -0.8048687993
## [8765,] -0.329010603 -0.3371380430
## [8766,] -1.005017320 -1.0177614786
## [8767,]  0.158343077  0.1535439688
## [8768,] -0.481505142 -0.4906740273
## [8769,] -0.784922110 -0.7961631507
## [8770,] -1.964003594 -1.9832970500
## [8771,] -0.942132975 -1.3460910582
## [8772,]  0.787186535  0.7866820484
## [8773,]  0.472764806  0.4701130086
## [8774,]  0.048295472  0.0427448048
## [8775,]  0.944397399  0.9449665683
## [8776,] -0.784922110 -0.7961631507
## [8777,]  0.002311294 -0.0035534173
## [8778,] -0.613169241 -0.6232373127
## [8779,] -1.998589984 -2.0181196444
## [8780,]  0.158343077  0.1535439688
## [8781,] -0.910690802 -0.9227907666
## [8782,]  0.832777685  0.8325845592
## [8783,] -0.292852104 -0.3007326034
## [8784,] -2.042609026 -2.0179771883
## [8785,] -2.121214458 -2.1415815699
## [8786,]  0.394159374  0.3909707486
## [8787,] -0.234684084 -0.2421673310
## [8788,]  0.677138930 -0.2616996408
## [8789,] -1.052180580 -1.0652468345
## [8790,] -1.177949271 -0.9172508084
## [8791,] -1.492371000 -1.3070580956
## [8792,]  0.567091324  0.5650837205
## [8793,] -0.017733091 -0.0237346935
## [8794,] -0.582120095 -0.5919761200
## [8795,] -0.937102227 -0.9493825660
## [8796,]  1.416029993  1.4198201280
## [8797,]  0.158343077  0.1535439688
## [8798,]  2.359295180  2.3695272475
## [8799,]  0.787186535  0.7866820484
## [8800,] -1.374462852 -1.3396172214
## [8801,]  0.787186535  0.7866820484
## [8802,] -0.863527542 -0.5274593497
## [8803,] -1.177949271 -0.9172508084
## [8804,] -0.470500381 -0.4795941109
## [8805,] -0.582120095 -0.5919761200
## [8806,] -0.937102227 -0.9493825660
## [8807,] -0.077473220 -0.0838828111
## [8808,] -0.700028243 -0.7106895099
## [8809,] -1.677879820 -1.5991721771
## [8810,] -0.942132975 -0.6248993002
## [8811,] -1.177949271 -0.9172508084
## [8812,]  1.027719157  1.0288573639
## [8813,]  0.130045121  0.1250527552
## [8814,]  0.930248421  0.9307209615
## [8815,]  0.073449210  0.0680703280
## [8816,] -0.534422319 -0.5439525967
## [8817,] -1.073152509 -1.0863619895
## [8818,]  0.394159374  0.3909707486
## [8819,]  0.079737645  0.0744017088
## [8820,] -1.099343839 -1.0485794746
## [8821,]  0.221227423  0.2168577767
## [8822,] -0.281847344 -0.2896526870
## [8823,]  0.315553941  0.3118284887
## [8824,] -0.423337122 -0.4321087549
## [8825,]  0.624473290  0.6228575703
## [8826,]  0.236885625  0.2326229149
## [8827,] -1.570976433 -1.5474922814
## [8828,] -1.570976433 -1.5474922814
## [8829,]  0.001132212 -0.5552224545
## [8830,]  0.243236944  0.2390176095
## [8831,] -0.276816596 -0.2845875824
## [8832,]  0.925139068  0.9255767146
## [8833,] -0.033454178 -0.0395631455
## [8834,] -0.203336238 -0.2106053977
## [8835,] -0.760240004 -0.7713124811
## [8836,] -0.330975739 -0.3391165995
## [8837,] -0.883964955 -0.8958823982
## [8838,] -1.908979791 -1.8235404841
## [8839,]  0.529360717  0.5270954357
## [8840,] -0.772345241 -0.7835003891
## [8841,] -1.728187297 -1.5994096039
## [8842,] -1.885398161 -1.7943053332
## [8843,] -1.728187297 -1.7138018264
## [8844,] -1.885398161 -1.8800955430
## [8845,] -1.099343839 -1.0485794746
## [8846,] -1.256554704 -1.2148890197
## [8847,] -1.099343839 -0.8198108580
## [8848,] -1.256554704 -1.0147065873
## [8849,] -1.099343839 -1.0485794746
## [8850,] -1.256554704 -1.2148890197
## [8851,]  0.624473290  0.6228575703
## [8852,]  0.236885625  0.2326229149
## [8853,] -1.728187297 -1.7138018264
## [8854,] -1.885398161 -1.8800955430
## [8855,] -1.177949271 -0.9172508084
## [8856,] -1.413765568 -1.2096023167
## [8857,]  1.027719157  1.0288573639
## [8858,] -0.149790218 -0.1566936903
## [8859,] -1.413765568 -1.3811827363
## [8860,] -1.649581865 -1.6306391397
## [8861,]  1.730451722  1.7363891678
## [8862,]  0.472764806  0.4701130086
## [8863,] -1.492371000 -1.3070580956
## [8864,] -1.806792729 -1.6968653828
## [8865,] -1.413765568 -1.3811827363
## [8866,] -1.649581865 -1.6306391397
## [8867,] -1.413765568 -1.2096023167
## [8868,] -1.649581865 -1.5019538250
## [8869,] -1.677879820 -1.5707442773
## [8870,] -1.413765568 -1.4293012303
## [8871,] -1.053752688 -1.0668296797
## [8872,] -1.352453331 -1.3675702676
## [8873,]  0.158343077  0.1535439688
## [8874,] -0.591552747 -0.6014731912
## [8875,]  1.431751079  1.4356485800
## [8876,]  0.142621990  0.1377155168
## [8877,]  0.472764806  0.4701130086
## [8878,] -1.099343839 -1.1127321905
## [8879,] -1.445207741 -1.4609581343
## [8880,] -1.445207741 -1.4609581343
## [8881,] -0.218962998 -0.2263388790
## [8882,] -0.646576549 -0.6568727732
## [8883,]  1.447472166  1.4514770320
## [8884,]  0.787186535  0.7866820484
## [8885,] -1.570976433 -1.4045138745
## [8886,] -1.885398161 -1.7943053332
## [8887,] -1.413765568 -1.2096023167
## [8888,] -1.728187297 -1.5994096039
## [8889,]  0.240407148  0.2361684881
## [8890,] -0.467985007 -0.4770615586
## [8891,] -0.404629029 -0.4132728970
## [8892,] -0.937102227 -0.9493825660
## [8893,]  0.503263713  0.5008202054
## [8894,] -0.276816596 -0.2845875824
## [8895,]  1.103337583  1.1049922179
## [8896,]  0.159600764  0.1548102449
## [8897,]  0.472764806  0.4701130086
## [8898,] -0.470500381 -0.4795941109
## [8899,] -0.368313319 -0.3767091729
## [8900,] -0.686508109 -0.6970770412
## [8901,] -0.533384727 -0.5429079188
## [8902,] -0.800643197 -0.8119916027
## [8903,]  0.079737645  0.0744017088
## [8904,] -0.461067729 -0.4700970397
## [8905,] -0.313289517 -0.3213095910
## [8906,] -0.942132975 -0.9544476706
## [8907,]  0.315553941  0.3118284887
## [8908,]  0.001132212 -0.0047405512
## [8909,] -0.751907829 -0.7629234015
## [8910,] -1.022310515 -1.0351727758
## [8911,] -0.209215924 -0.2165252388
## [8912,] -0.794983605 -0.8062933600
## [8913,] -0.942132975 -0.6248993002
## [8914,] -1.099343839 -0.8198108580
## [8915,] -0.061752133 -0.0680543591
## [8916,] -0.423337122 -0.4321087549
## [8917,] -1.728187297 -1.5994096039
## [8918,] -1.806792729 -1.6968653828
## [8919,] -0.313289517 -0.3213095910
## [8920,] -0.627711246 -0.6378786308
## [8921,]  0.315553941  0.3118284887
## [8922,] -0.234684084 -0.2421673310
## [8923,]  0.179440775  0.1747857513
## [8924,] -0.201025238 -0.2082786153
## [8925,]  0.268390682  0.2643431327
## [8926,] -0.423337122 -0.4321087549
## [8927,] -1.413765568 -1.2096023167
## [8928,] -1.570976433 -1.4045138745
## [8929,]  0.967979029  0.9687092463
## [8930,] -0.178088173 -0.1851849039
## [8931,]  0.667706278  0.6663858133
## [8932,] -0.931128214 -0.9433677542
## [8933,] -0.313289517 -0.3213095910
## [8934,] -1.393328156 -1.4087242427
## [8935,] -0.313289517 -0.3213095910
## [8936,] -1.393328156 -1.4087242427
## [8937,]  0.158343077  0.1535439688
## [8938,] -0.580547986 -0.5903932748
## [8939,]  0.001132212 -0.0047405512
## [8940,] -0.854880945 -0.8665997621
## [8941,]  0.268390682  0.2643431327
## [8942,] -0.541245270 -0.5508221448
## [8943,] -0.582120095 -0.5919761200
## [8944,] -0.937102227 -0.9493825660
## [8945,] -0.582120095 -0.5919761200
## [8946,] -0.937102227 -0.9493825660
## [8947,]  0.243236944  0.2390176095
## [8948,] -0.276816596 -0.2845875824
## [8949,]  1.477342230  1.4815510908
## [8950,]  0.104891383  0.0997272320
## [8951,] -0.209530346 -0.2168418078
## [8952,] -0.639030428 -0.6492751162
## [8953,] -0.330975739 -0.3391165995
## [8954,] -0.883964955 -0.8958823982
## [8955,]  1.164492609  1.1665648962
## [8956,]  0.282146633  0.2781930282
## [8957,]  0.394159374  0.3909707486
## [8958,] -0.234684084 -0.2421673310
## [8959,]  0.930248421  0.9307209615
## [8960,]  0.073449210  0.0680703280
## [8961,]  0.472764806  0.4701130086
## [8962,]  0.158343077  0.1535439688
## [8963,]  0.870508293  0.8705728439
## [8964,] -0.149790218 -0.1566936903
## [8965,]  0.409880460  0.4067992006
## [8966,] -0.093194306 -0.0997112631
## [8967,]  0.788758643  0.7882648936
## [8968,]  0.158343077  0.1535439688
## [8969,] -1.248694160 -1.2631024844
## [8970,] -1.508092087 -1.5242719423
## [8971,]  0.870508293  0.8705728439
## [8972,] -0.149790218 -0.1566936903
## [8973,]  0.870508293  0.8705728439
## [8974,]  0.546653912  0.5445067329
## [8975,]  0.395731482  0.3925535938
## [8976,] -0.152148381 -0.1590679581
## [8977,] -0.531026564 -0.5405336510
## [8978,] -0.799857142 -0.8112001801
## [8979,] -0.077473220 -0.0838828111
## [8980,] -0.313289517 -0.3213095910
## [8981,] -0.582120095 -0.5919761200
## [8982,] -0.937102227 -0.9493825660
## [8983,] -1.020738407 -1.0335899306
## [8984,] -1.177949271 -1.1918744505
## [8985,]  1.007281745  1.0082803763
## [8986,]  0.670850495  0.6695515037
## [8987,]  1.831066675  1.8376912606
## [8988,]  0.993447189  0.9943513385
## [8989,]  0.079737645  0.0744017088
## [8990,] -0.549105813 -0.5587363708
## [8991,] -0.135641240 -0.1424480835
## [8992,] -0.751907829 -0.7629234015
## [8993,] -0.534422319 -0.5439525967
## [8994,] -1.073152509 -1.0863619895
## [8995,]  0.892502093  0.8927168483
## [8996,] -0.799071088 -0.8104087575
## [8997,] -0.313289517 -0.3213095910
## [8998,] -0.619850702 -0.6299644048
## [8999,] -1.570976433 -1.4045138745
## [9000,] -1.806792729 -1.6968653828
## [9001,] -1.099343839 -1.1127321905
## [9002,] -1.413765568 -1.4293012303
## [9003,]  0.670284536  0.6689816794
## [9004,] -0.079768499 -0.0861937651
## [9005,]  1.258819128  1.2615356081
## [9006,]  0.001132212 -0.0047405512
## [9007,]  0.005219695 -0.0006251536
## [9008,] -0.639030428 -0.6492751162
## [9009,]  0.315553941  0.3118284887
## [9010,]  0.001132212 -0.0047405512
## [9011,]  0.158343077  0.1535439688
## [9012,] -0.313289517 -0.3213095910
## [9013,] -1.303717963 -1.3185020664
## [9014,] -1.539534260 -1.5559288463
## [9015,]  0.064016558  0.0585732568
## [9016,] -0.376173862 -0.3846233989
## [9017,] -0.329010603 -0.3371380430
## [9018,] -0.800643197 -0.8119916027
## [9019,]  0.944397399  0.9449665683
## [9020,] -0.156078652 -0.1630250711
## [9021,]  0.944397399  0.9449665683
## [9022,] -0.156078652 -0.1630250711
## [9023,]  0.944397399  0.9449665683
## [9024,] -0.156078652 -0.1630250711
## [9025,] -0.784922110 -0.7961631507
## [9026,] -1.272275790 -1.2868451624
## [9027,]  0.944397399  0.9449665683
## [9028,] -0.156078652 -0.1630250711
## [9029,]  0.002311294 -0.0035534173
## [9030,] -0.613169241 -0.6232373127
## [9031,] -0.784922110 -0.7961631507
## [9032,] -1.964003594 -1.9832970500
## [9033,] -0.368313319 -0.3767091729
## [9034,] -0.686508109 -0.6970770412
## [9035,]  1.103337583  1.1049922179
## [9036,]  0.159600764  0.1548102449
## [9037,] -0.706316678 -0.7170208907
## [9038,] -0.784922110 -0.7961631507
## [9039,]  0.315553941  0.3118284887
## [9040,] -0.234684084 -0.2421673310
## [9041,]  1.258819128  1.2615356081
## [9042,] -0.156078652 -0.1630250711
## [9043,] -0.234684084 -0.2421673310
## [9044,] -1.570976433 -1.5875857502
## [9045,]  1.101608264  1.1032510882
## [9046,] -0.156078652 -0.1630250711
## [9047,] -0.156078652  0.3495951751
## [9048,] -1.256554704 -1.0147065873
## [9049,]  1.101608264  1.1032510882
## [9050,] -0.470500381 -0.4795941109
## [9051,]  0.787186535  0.7866820484
## [9052,] -0.470500381 -0.4795941109
## [9053,] -0.470500381 -0.4795941109
## [9054,] -1.335160136 -1.3501589704
## [9055,]  2.736601254  2.7494100953
## [9056,]  1.038723918  1.0399372802
## [9057,]  0.944397399  0.9449665683
## [9058,] -0.784922110 -0.7961631507
## [9059,]  0.552942347  0.5508381137
## [9060,] -0.708045997 -0.7187620205
## [9061,] -0.706316678 -0.7170208907
## [9062,] -1.099343839 -1.1127321905
## [9063,] -0.784922110 -1.1631616386
## [9064,]  0.111179817 -0.5254333078
## [9065,]  1.573240857  0.6606400852
## [9066,] -0.470500381 -0.4795941109
## [9067,] -1.523813173 -1.4976010007
## [9068,] -1.570976433 -1.5474922814
## [9069,] -1.177949271 -1.1918744505
## [9070,]  0.111179817  0.1060586128
## [9071,] -0.942132975 -1.2847399783
## [9072,] -1.335160136 -1.3501589704
## [9073,] -1.335160136 -1.2980358780
## [9074,] -0.643432332 -0.6537070828
## [9075,] -0.973575147 -1.3090524806
## [9076,] -2.042609026 -2.0624393100
## [9077,] -0.989296234 -0.7512261755
## [9078,]  0.787186535  0.7866820484
## [9079,] -1.311578506 -1.5704751936
## [9080,] -1.130786012 -1.1443890945
## [9081,] -0.234684084 -0.2421673310
## [9082,] -0.549105813 -0.5587363708
## [9083,] -0.454779295 -1.0515710520
## [9084,] -1.728187297 -1.7458702702
## [9085,] -1.885398161 -1.8800955430
## [9086,] -1.460928827 -1.4310740170
## [9087,] -1.602418605 -1.5125272309
## [9088,] -1.020738407 -0.9654326163
## [9089,] -0.470500381 -1.0625401693
## [9090,]  0.236948509  0.2326862287
## [9091,]  0.048295472  0.0427448048
## [9092,] -0.784922110 -0.7961631507
## [9093,] -0.784922110 -1.1631616386
## [9094,]  0.001132212 -1.8470299068
## [9095,] -1.177949271 -1.1918744505
## [9096,] -2.042609026 -2.0624393100
## [9097,] -1.901119248 -1.8967312461
## [9098,] -1.256570425 -1.2710325389
## [9099,] -1.526957390 -1.5009249756
## [9100,] -1.429486654 -1.3978184393
## [9101,]  0.040434928  0.0348305788
## [9102,] -0.470500381 -0.4795941109
## [9103,] -0.234684084 -0.2421673310
## [9104,]  4.010009257  4.0315147065
## [9105,]  0.001132212 -0.0047405512
## [9106,]  1.416029993  1.4198201280
## [9107,] -0.234684084 -0.2421673310
## [9108,] -1.099343839 -1.1127321905
## [9109,]  3.616982095  3.6358034068
## [9110,] -0.549105813 -0.4732310732
## [9111,]  0.425601546  0.4226276526
## [9112,] -1.382323395 -1.3479271586
## [9113,] -1.602418605 -1.6192426542
## [9114,] -2.042609026 -2.0624393100
## [9115,]  1.101608264  1.1032510882
## [9116,]  0.001132212 -0.0047405512
## [9117,] -0.942132975 -0.9544476706
## [9118,] -0.784922110 -0.7961631507
## [9119,] -0.784922110 -0.7961631507
## [9120,] -0.784922110 -0.7961631507
## [9121,] -0.093194306 -0.0997112631
## [9122,] -0.030309961  0.0823001063
## [9123,] -1.979724680 -1.9991255020
## [9124,] -1.753341035 -1.7711957933
## [9125,] -0.784922110 -0.7961631507
## [9126,] -1.060041123 -1.0731610605
## [9127,] -1.696745124 -1.5931890222
## [9128,] -0.470500381 -0.4795941109
## [9129,] -1.099343839 -1.0485794746
## [9130,] -2.042609026 -2.0624393100
## [9131,] -0.391894949 -0.4004518509
## [9132,] -0.470500381 -0.4795941109
## [9133,] -1.099343839 -0.6372929781
## [9134,] -2.042609026 -2.0464050881
## [9135,] -1.570976433 -1.5875857502
## [9136,]  0.787186535  0.7866820484
## [9137,] -1.413765568 -1.4293012303
## [9138,]  0.787186535  0.7866820484
## [9139,] -0.784922110 -0.7961631507
## [9140,] -0.784922110 -0.7961631507
## [9141,] -1.256554704 -1.0692989183
## [9142,] -1.539549981 -1.4403336614
## [9143,] -1.523813173 -1.3873716610
## [9144,] -1.413765568 -1.0727178639
## [9145,]  0.315553941  0.3118284887
## [9146,]  0.001132212 -0.0047405512
## [9147,] -1.492371000 -1.5084434903
## [9148,]  1.573240857  1.5781046479
## [9149,] -1.099343839 -1.1127321905
## [9150,] -1.256554704 -1.2710167104
## [9151,] -0.627711246 -0.3208980512
## [9152,] -1.508092087 -1.3686624308
## [9153,] -1.413765568 -1.2958990370
## [9154,] -1.020738407 -1.0335899306
## [9155,]  1.258819128  1.2615356081
## [9156,] -0.391894949 -0.4004518509
## [9157,] -0.470500381 -0.4795941109
## [9158,]  4.717458147  4.7437950461
## [9159,] -1.712466211 -1.6388857631
## [9160,] -1.335160136 -1.2056452037
## [9161,]  0.150482534 -0.3652968591
## [9162,] -0.093194306 -0.0997112631
## [9163,] -0.863527542 -1.1796232286
## [9164,]  0.001132212 -0.0047405512
## [9165,] -0.737758851 -0.7486777947
## [9166,]  0.048295472  0.0427448048
## [9167,] -0.942132975 -0.9544476706
## [9168,] -0.942132975 -0.9544476706
## [9169,] -1.413765568 -1.4293012303
## [9170,] -1.570976433 -1.5875857502
## [9171,]  1.887662586  1.8946736878
## [9172,] -1.287996876 -1.5205047707
## [9173,] -1.728187297 -1.6306074828
## [9174,] -0.313289517  0.0533023823
## [9175,] -0.627711246 -1.9282773509
## [9176,] -0.627711246 -0.6378786308
## [9177,] -1.413765568 -1.0727178639
## [9178,]  1.573240857  1.5781046479
## [9179,] -1.570976433 -1.4435151802
## [9180,] -1.099343839 -1.1127321905
## [9181,] -0.187520825 -0.1946819750
## [9182,] -0.156078652 -0.1630250711
## [9183,] -1.303717963 -1.1254424375
## [9184,]  0.315553941  0.3118284887
## [9185,] -1.099343839 -1.1127321905
## [9186,] -1.637633839 -1.6546983867
## [9187,] -0.784922110 -0.7961631507
## [9188,] -1.649581865 -1.5370613315
## [9189,]  1.337424560  1.3406778681
## [9190,]  0.001132212 -0.0047405512
## [9191,] -1.256554704 -1.1153755420
## [9192,]  1.180213696  1.1823933482
## [9193,] -1.335160136 -1.1628608980
## [9194,] -1.665302951 -1.5847366289
## [9195,] -1.177949271 -0.9757527670
## [9196,] -1.177949271 -0.7461452424
## [9197,] -1.060041123 -0.5828589317
## [9198,] -1.099343839 -0.8822066157
## [9199,]  0.001132212 -0.0047405512
## [9200,] -0.549105813 -0.5587363708
## [9201,]  1.337424560  0.5879083483
## [9202,] -1.768181741 -1.5635423317
## [9203,] -0.690595591 -0.7011924388
## [9204,] -0.973575147 -0.5924193167
## [9205,]  0.001132212 -0.0047405512
## [9206,] -2.136935545 -2.1262912853
## [9207,] -1.083622753 -0.8634973855
## [9208,] -1.256554704 -1.2710167104
## [9209,] -1.413765568 -1.1608823415
## [9210,] -0.470500381 -0.9656225577
## [9211,]  1.981989105  1.9896443997
## [9212,]  0.598533497  0.5967406245
## [9213,]  0.158343077  0.1535439688
## [9214,] -0.706316678 -0.7170208907
## [9215,]  0.787186535  0.7866820484
## [9216,]  0.378438287  0.3751422966
## [9217,] -0.894969715 -0.9069623146
## [9218,] -1.548966911 -1.4173190922
## [9219,] -0.942132975 -0.9544476706
## [9220,] -1.390183938 -1.2688165556
## [9221,]  0.315553941  0.3118284887
## [9222,] -1.256554704 -0.8550133352
## [9223,] -1.869677075 -1.7990063835
## [9224,] -1.531673716 -1.2360041746
## [9225,] -0.926411888 -0.9386192186
## [9226,] -0.391894949 -0.8008642009
## [9227,]  0.236948509  0.2326862287
## [9228,] -1.099343839 -1.1127321905
## [9229,] -0.313289517 -0.7377403344
## [9230,] -1.696745124 -1.7142133662
## [9231,] -0.549105813 -0.5587363708
## [9232,] -1.099343839 -1.3689948282
## [9233,]  1.730451722  1.7363891678
## [9234,] -0.627711246 -0.6378786308
## [9235,]  0.472764806  0.4701130086
## [9236,]  0.787186535  0.7866820484
## [9237,] -1.020738407 -0.6533271999
## [9238,]  0.787186535  0.7866820484
## [9239,]  1.667567376  1.6730753599
## [9240,] -0.627711246 -0.6378786308
## [9241,] -1.256554704 -1.1153755420
## [9242,] -1.217251987 -1.2314455804
## [9243,]  0.551370238  0.5492552685
## [9244,] -1.429486654 -1.2751162795
## [9245,] -0.784922110 -0.7961631507
## [9246,] -0.596269073 -0.6062217268
## [9247,]  0.001132212 -0.0047405512
## [9248,]  0.472764806 -2.0597326447
## [9249,] -1.492371000 -1.5084434903
## [9250,] -1.445207741 -1.4609581343
## [9251,] -0.784922110 -0.7961631507
## [9252,] -1.323840954 -1.1493908853
## [9253,] -1.020738407 -1.0335899306
## [9254,] -1.335160136 -1.1628608980
## [9255,] -0.706316678 -0.7170208907
## [9256,] -1.225112531 -1.2393598064
## [9257,] -1.492371000 -1.3499532005
## [9258,]  1.573240857 -1.9355584388
## [9259,] -0.599806317 -0.6097831285
## [9260,] -0.892611552 -0.9045880468
## [9261,]  0.158343077  0.1535439688
## [9262,] -2.017455288 -1.9748763136
## [9263,] -1.508092087 -1.3686624308
## [9264,]  0.629975670  0.6283975285
## [9265,] -0.470500381 -0.1338057487
## [9266,] -0.942132975 -1.2427470952
## [9267,] -0.234684084 -0.2421673310
## [9268,] -2.026887940 -1.9860986860
## [9269,] -0.046031047 -0.0522259071
## [9270,] -0.462639838 -0.8576883436
## [9271,]  0.378438287  0.3751422966
## [9272,] -0.234684084 -0.2421673310
## [9273,] -2.013619343 -2.0332516445
## [9274,] -0.391894949 -0.4004518509
## [9275,] -1.649581865 -1.5666763652
## [9276,] -1.429486654 -1.2751162795
## [9277,] -1.570976433 -1.5875857502
## [9278,] -1.806792729 -1.7471998601
## [9279,] -0.989296234 -1.0019330266
## [9280,] -2.011166853 -1.9673894558
## [9281,] -1.150280159 -0.9428295868
## [9282,] -1.083622753 -1.0969037385
## [9283,] -0.942132975 -0.9544476706
## [9284,] -1.539534260 -1.4060808913
## [9285,]  0.708581102  0.7075397884
## [9286,] -1.853955989 -1.7802971532
## [9287,] -1.020738407 -1.0335899306
## [9288,]  4.182941208  4.2056276784
## [9289,]  1.180213696  1.1823933482
## [9290,] -1.714038319 -1.4885629546
## [9291,] -1.020738407 -0.5284407137
## [9292,]  0.472764806 -1.6414499724
## [9293,] -0.784922110 -0.5738208856
## [9294,] -1.177949271 -0.9757527670
## [9295,] -1.476649914 -1.4926150383
## [9296,]  0.472764806 -1.9261721668
## [9297,] -1.177949271 -0.9757527670
## [9298,] -1.696745124 -1.6208413279
## [9299,] -0.816364283 -0.8278200547
## [9300,] -1.602418605 -1.3339822924
## [9301,] -1.602418605 -1.4809336407
## [9302,] -2.026887940 -1.9860986860
## [9303,] -0.470500381 -0.4795941109
## [9304,] -2.042609026 -2.0624393100
## [9305,]  2.752322341  2.7652385473
## [9306,]  0.787186535  0.7866820484
## [9307,]  2.359295180 -1.6525457172
## [9308,]  0.158343077  0.1535439688
## [9309,] -1.570976433 -1.5875857502
## [9310,] -1.822513816 -1.7428786927
## [9311,]  0.236948509  0.2326862287
## [9312,] -1.775350556 -1.7110951611
## [9313,]  0.551370238  0.5492552685
## [9314,] -1.492371000 -1.3861528702
## [9315,] -1.150280159 -0.9428295868
## [9316,] -2.058330112 -2.0360216236
## [9317,] -0.627711246 -0.6378786308
## [9318,] -0.156078652 -0.1630250711
## [9319,] -0.470500381 -0.4795941109
## [9320,] -0.627711246 -0.9902516290
## [9321,] -1.649581865 -1.3992904854
## [9322,] -1.335160136 -1.1628608980
## [9323,] -1.193670358 -1.2077029025
## [9324,]  0.032574385  0.0269163528
## [9325,] -2.074051199 -2.0940962140
## [9326,] -1.413765568 -1.4293012303
## [9327,] -0.313289517 -0.3213095910
## [9328,] -0.753479937 -2.0797398080
## [9329,] -1.570976433 -1.4435151802
## [9330,] -0.046031047  0.3713751251
## [9331,] -0.313289517 -0.0322662292
## [9332,] -1.822513816 -1.7652442954
## [9333,] -1.734475732 -1.6380943405
## [9334,] -1.099343839 -0.9348678755
## [9335,] -1.492371000 -1.3861528702
## [9336,] -0.549105813 -0.5587363708
## [9337,]  1.337424560  1.3406778681
## [9338,] -1.177949271 -1.1918744505
## [9339,] -1.382323395 -1.3976443264
## [9340,] -1.209391444 -1.2235313545
## [9341,] -1.753341035 -1.6605390855
## [9342,]  0.633119888  0.6315632189
## [9343,] -0.501942554 -0.5112510149
## [9344,] -0.182018445 -0.1891420168
## [9345,] -0.300712647 -0.3086468294
## [9346,] -1.728187297 -1.6569460269
## [9347,]  0.284111768  0.2801715847
## [9348,]  0.158343077 -0.4944886842
## [9349,]  4.292988813  4.3164268424
## [9350,] -1.979724680 -1.9299709953
## [9351,]  0.236948509  0.2326862287
## [9352,]  4.120056862  4.1423138705
## [9353,]  0.016853299  0.0110879008
## [9354,] -0.706316678 -0.7170208907
## [9355,] -0.784922110 -0.7961631507
## attr(,"scaled:center")
##        salary salary_in_usd 
##      149928.0      150299.5 
## attr(,"scaled:scale")
##        salary salary_in_usd 
##      63608.84      63177.37
matsurv <- matstand[Salary_Level == "High",]
matsurv
##               salary salary_in_usd
##    [1,]  0.567091324  0.5650837205
##    [2,]  0.975839572  0.9766234723
##    [3,]  1.170781044  1.1728962770
##    [4,]  0.944397399  0.9449665683
##    [5,]  0.284111768  0.2801715847
##    [6,]  1.170781044  1.1728962770
##    [7,]  2.359295180  2.3695272475
##    [8,]  1.321703474  1.3248494161
##    [9,]  0.857931424  0.8579100823
##   [10,]  0.079737645  0.0744017088
##   [11,]  1.832638784  1.8392741058
##   [12,]  0.032574385  0.0269163528
##   [13,]  1.136194654  1.1380736826
##   [14,]  1.941114280  1.9484904245
##   [15,]  0.507351196  0.5049356030
##   [16,]  0.276251225  0.2722573587
##   [17,]  0.565519216  0.5635008753
##   [18,]  0.551370238  0.5492552685
##   [19,]  1.530793924  1.5353678276
##   [20,]  0.409880460  0.4067992006
##   [21,]  0.857931424  0.8579100823
##   [22,]  1.535510250  1.5401163632
##   [23,]  1.155059958  1.1570678250
##   [24,]  0.570235542  0.5682494109
##   [25,]  0.276251225  0.2722573587
##   [26,]  0.565519216  0.5635008753
##   [27,]  0.469935010  0.4672638872
##   [28,] -0.095395258 -0.1019272464
##   [29,]  2.092822764  2.1012349862
##   [30,]  0.609538258  0.6078205409
##   [31,]  1.832638784  1.8392741058
##   [32,] -0.086905872 -0.0933798823
##   [33,]  2.162781599  2.1716715976
##   [34,]  0.095458731  0.0902301608
##   [35,]  0.771465448  0.7708535964
##   [36,]  0.189785250  0.1852008727
##   [37,]  0.329451382  0.3258208402
##   [38,]  0.535649152  0.5334268165
##   [39,]  1.349215375  1.3525492071
##   [40,]  0.382368559  0.3790994096
##   [41,]  0.236948509  0.2326862287
##   [42,]  1.180213696  1.1823933482
##   [43,]  0.001132212 -0.0047405512
##   [44,]  1.005709636  1.0066975311
##   [45,]  1.101608264  1.1032510882
##   [46,]  0.001132212 -0.0047405512
##   [47,]  0.001132212 -0.0047405512
##   [48,]  1.533938141  1.5385335180
##   [49,]  0.350140331  0.3466510830
##   [50,]  0.079737645  0.0744017088
##   [51,]  1.206939543  1.2093017165
##   [52,]  0.535649152  0.5334268165
##   [53,]  0.158343077  0.1535439688
##   [54,]  0.252669595  0.2485146807
##   [55,]  0.565519216  0.5635008753
##   [56,]  0.236948509  0.2326862287
##   [57,]  1.101608264  1.1032510882
##   [58,]  0.472764806  0.4701130086
##   [59,]  0.535649152  0.5334268165
##   [60,]  1.023002831  1.0241088283
##   [61,]  0.787186535  0.7866820484
##   [62,]  1.620404116  1.6255900039
##   [63,]  1.101608264  1.1032510882
##   [64,]  0.409880460  0.4067992006
##   [65,]  0.944397399  0.9449665683
##   [66,] -0.046031047 -0.0522259071
##   [67,]  0.567091324  0.5650837205
##   [68,]  0.174064163  0.1693724207
##   [69,]  0.865791967  0.8658243083
##   [70,]  0.032574385  0.0269163528
##   [71,]  1.101608264  1.1032510882
##   [72,]  0.629975670  0.6283975285
##   [73,]  0.865791967  0.8658243083
##   [74,]  0.032574385  0.0269163528
##   [75,]  0.346996114  0.3434853926
##   [76,] -0.061752133 -0.0680543591
##   [77,] -0.030309961 -0.0363974551
##   [78,]  0.001132212 -0.0047405512
##   [79,]  0.480845444  0.4782488329
##   [80,]  0.944397399  0.9449665683
##   [81,] -0.046031047 -0.0522259071
##   [82,]  2.206800641  2.2159912632
##   [83,]  0.735071133  0.7342107300
##   [84,]  1.101608264  1.1032510882
##   [85,]  0.409880460  0.4067992006
##   [86,]  0.394159374  0.3909707486
##   [87,]  0.551370238  0.5492552685
##   [88,]  0.001132212 -0.0047405512
##   [89,] -0.077473220 -0.0838828111
##   [90,]  4.080754146  2.4231382144
##   [91,]  1.263535454  1.2662841437
##   [92,]  1.177069479  1.1792276578
##   [93,]  1.699009549  1.7047322639
##   [94,]  0.331275028  0.3276569407
##   [95,]  0.724302189  0.7233682404
##   [96,]  0.721157972  0.7202025500
##   [97,]  0.339135571  0.3355711667
##   [98,]  0.252669595  0.2485146807
##   [99,]  1.101608264  1.1032510882
##  [100,]  0.158343077  0.1535439688
##  [101,]  1.101608264  1.1032510882
##  [102,]  0.551370238  0.5492552685
##  [103,]  0.032574385  0.0269163528
##  [104,]  1.101608264  1.1032510882
##  [105,]  1.101608264  1.1032510882
##  [106,]  1.101608264  1.1032510882
##  [107,]  1.101608264  1.1032510882
##  [108,]  0.004276430 -0.0015748608
##  [109,]  0.271534899  0.2675088231
##  [110,]  0.589336662  0.5874809801
##  [111,]  0.589336662  0.5874809801
##  [112,]  0.252669595  0.2485146807
##  [113,]  2.459910133  2.4708293402
##  [114,]  0.295116529  0.2912515011
##  [115,]  0.589336662  0.5874809801
##  [116,]  0.236948509  0.2326862287
##  [117,]  0.001132212 -0.0047405512
##  [118,]  0.268390682  0.2643431327
##  [119,]  0.551370238  0.5492552685
##  [120,]  0.633119888  0.6315632189
##  [121,]  0.252669595  0.2485146807
##  [122,]  0.480845444  0.4782488329
##  [123,]  2.264968661  2.2745565355
##  [124,]  0.661417843  0.6600544325
##  [125,]  1.824778240  1.8313598798
##  [126,]  0.268390682  0.2643431327
##  [127,]  0.787186535  0.7866820484
##  [128,]  0.001132212 -0.0047405512
##  [129,]  0.218083205  0.2136920863
##  [130,]  0.479053240  0.4764443894
##  [131,]  2.657995822  2.6702678353
##  [132,]  0.881513053  0.8816527603
##  [133,]  1.023002831  1.0241088283
##  [134,]  1.824778240  1.8313598798
##  [135,]  0.268390682  0.2643431327
##  [136,]  0.446038959  0.4432046402
##  [137,]  1.136194654  1.1380736826
##  [138,]  1.023002831  1.0241088283
##  [139,]  1.416029993  1.4198201280
##  [140,]  0.944397399  0.9449665683
##  [141,]  0.001132212 -0.0047405512
##  [142,] -0.077473220 -0.0838828111
##  [143,]  0.064016558  0.0585732568
##  [144,]  1.416029993  1.4198201280
##  [145,]  0.115110089  0.1100157258
##  [146,]  1.096105883  1.0977111300
##  [147,]  0.001132212 -0.0047405512
##  [148,]  0.472764806  0.4701130086
##  [149,]  1.535510250  1.5401163632
##  [150,]  1.573240857  1.5781046479
##  [151,]  0.629975670  0.6283975285
##  [152,]  0.315553941  0.3118284887
##  [153,]  0.828061359  0.8278360236
##  [154,]  0.296688638  0.2928343463
##  [155,]  0.834349794  0.8341674044
##  [156,]  0.787186535  0.7866820484
##  [157,]  0.158343077  0.1535439688
##  [158,]  0.001132212  0.1844411070
##  [159,]  0.551370238  0.5492552685
##  [160,]  0.001132212 -0.0047405512
##  [161,]  0.158343077  0.1535439688
##  [162,] -0.077473220 -0.0838828111
##  [163,]  1.636125203  1.6414184559
##  [164,]  0.142621990  0.1377155168
##  [165,]  0.315553941  0.3118284887
##  [166,]  0.299832855  0.2960000367
##  [167,]  0.252669595  0.2485146807
##  [168,]  0.629975670  0.6283975285
##  [169,]  0.236948509  0.2326862287
##  [170,]  2.447333264  2.4581665786
##  [171,] -0.052319482 -0.0585572879
##  [172,]  0.001132212 -0.0047405512
##  [173,]  1.966268018  1.9738159477
##  [174,] -0.055463699 -0.0617229783
##  [175,]  0.920815770  0.9212238903
##  [176,]  0.236948509  0.2326862287
##  [177,]  1.710014309  1.7158121803
##  [178,]  0.354856657  0.3513996186
##  [179,]  0.001132212 -0.0047405512
##  [180,]  0.551370238  0.5492552685
##  [181,]  0.001132212 -0.0047405512
##  [182,]  0.252669595  0.2485146807
##  [183,]  0.758888579  0.7581908348
##  [184,]  0.252669595  0.2485146807
##  [185,]  0.975839572  0.9766234723
##  [186,]  0.975839572  0.9766234723
##  [187,]  0.252669595  0.2485146807
##  [188,]  0.269962791  0.2659259779
##  [189,]  0.252669595  0.2485146807
##  [190,]  0.315553941  0.3118284887
##  [191,] -0.077473220 -0.0838828111
##  [192,]  0.975839572  0.9766234723
##  [193,]  0.315553941  0.3118284887
##  [194,] -0.077473220 -0.0838828111
##  [195,]  2.024436038  2.0323812201
##  [196,]  0.147338316  0.1424640524
##  [197,]  1.206939543  1.2093017165
##  [198,]  0.018425407  0.0126707460
##  [199,]  1.530793924  1.5353678276
##  [200,]  0.598533497  0.5967406245
##  [201,]  0.001132212 -0.0047405512
##  [202,]  0.158343077  0.1535439688
##  [203,]  1.981989105  1.9896443997
##  [204,]  0.378438287  0.3751422966
##  [205,]  1.730451722  1.7363891678
##  [206,]  1.573240857  1.5781046479
##  [207,]  0.944397399  0.9449665683
##  [208,]  0.598533497  0.5967406245
##  [209,]  1.384587820  1.3881632240
##  [210,]  0.409880460  0.4067992006
##  [211,]  0.857931424  0.8579100823
##  [212,]  0.975839572  0.9766234723
##  [213,]  0.629975670  0.6283975285
##  [214,]  1.754033351  1.7601318458
##  [215,]  1.400308906  1.4039916760
##  [216,]  0.134761447  0.1298012908
##  [217,]  2.856710355  2.8703394685
##  [218,]  1.851818509  1.8585848172
##  [219,]  0.472764806  0.4701130086
##  [220,]  1.168422881  1.1705220092
##  [221,]  0.252669595  0.2485146807
##  [222,]  0.872080402  0.8721556891
##  [223,]  1.101608264  1.1032510882
##  [224,]  0.158343077  0.1535439688
##  [225,]  1.258819128  1.2615356081
##  [226,]  0.567562957  0.5655585741
##  [227,]  1.447472166  1.4514770320
##  [228,]  1.101608264  1.1032510882
##  [229,]  1.699009549  1.7047322639
##  [230,]  0.331275028  0.3276569407
##  [231,]  0.661417843  0.6600544325
##  [232,]  0.441322633  0.4384561046
##  [233,]  0.944397399  0.9449665683
##  [234,]  0.158343077  0.1535439688
##  [235,]  0.001132212 -0.0047405512
##  [236,]  1.730451722  1.7363891678
##  [237,]  0.881513053  0.8816527603
##  [238,]  0.472764806  0.4701130086
##  [239,]  0.787186535  0.7866820484
##  [240,]  0.975839572  0.9766234723
##  [241,]  1.831066675  1.8376912606
##  [242,]  0.367433527  0.3640623802
##  [243,]  0.246381161  0.2421832999
##  [244,]  0.950685834  0.9512979491
##  [245,]  0.323414485  0.3197427147
##  [246,]  0.975839572  0.9766234723
##  [247,]  0.315553941  0.3118284887
##  [248,]  0.158343077  0.1535439688
##  [249,]  0.557658673  0.5555866493
##  [250,]  0.677138930  0.6758828845
##  [251,]  0.126900904  0.1218870648
##  [252,]  0.315553941  0.3118284887
##  [253,]  1.136194654  1.1380736826
##  [254,] -0.030309961 -0.0363974551
##  [255,]  0.857931424  0.8579100823
##  [256,]  0.721157972  0.7202025500
##  [257,]  0.188213141  0.1836180275
##  [258,]  0.669278386  0.6679686585
##  [259,]  0.299832855  0.2960000367
##  [260,]  1.048156570  1.0494343514
##  [261,] -0.086905872 -0.0933798823
##  [262,]  0.001132212 -0.0047405512
##  [263,]  0.252669595  0.2485146807
##  [264,]  0.252669595  0.2485146807
##  [265,]  2.929970618  2.9441000548
##  [266,]  0.457043719  0.4542845566
##  [267,]  2.302699268  2.3125448203
##  [268,]  0.152054642  0.1472125880
##  [269,]  0.975839572  0.9766234723
##  [270,]  0.857931424  0.8579100823
##  [271,]  1.706870092  1.7126464899
##  [272,]  1.203795326  1.2061360261
##  [273,]  1.530007869  1.5345764050
##  [274,]  0.158343077  0.1535439688
##  [275,]  0.975839572  0.9766234723
##  [276,] -0.156078652  0.3475374764
##  [277,]  1.085887177  1.0874226362
##  [278,]  2.725596494  2.7383301789
##  [279,]  0.546653912  0.5445067329
##  [280,]  1.573240857  1.5781046479
##  [281,]  0.787186535  0.7866820484
##  [282,]  0.565519216  0.5635008753
##  [283,]  0.818628708  0.8183389524
##  [284,] -0.046031047 -0.0522259071
##  [285,]  0.325379620  0.3217212712
##  [286,]  0.551370238  0.5492552685
##  [287,]  2.359295180  2.3695272475
##  [288,]  1.730451722  1.7363891678
##  [289,]  1.180213696  1.1823933482
##  [290,]  0.315553941  0.3118284887
##  [291,]  0.857931424  0.8579100823
##  [292,]  2.316848246  2.3267904271
##  [293,]  0.758888579  0.7581908348
##  [294,]  1.416029993  1.4198201280
##  [295,]  0.629975670  0.6283975285
##  [296,]  0.551370238  0.5492552685
##  [297,]  1.136194654  1.1380736826
##  [298,]  2.736601254  2.7494100953
##  [299,]  0.142621990  0.1377155168
##  [300,]  0.908238900  0.9085611287
##  [301,]  1.136194654  1.1380736826
##  [302,]  0.787186535  0.7866820484
##  [303,]  0.001132212 -0.0047405512
##  [304,]  1.321703474  1.3248494161
##  [305,]  0.912955226  0.9133096643
##  [306,]  0.582812411  0.5809121725
##  [307,]  0.818628708  0.8183389524
##  [308,] -0.046031047 -0.0522259071
##  [309,]  0.001132212 -0.0047405512
##  [310,]  0.629975670  0.6283975285
##  [311,]  0.236948509  0.2326862287
##  [312,]  2.044873451  2.0529582077
##  [313,]  0.629975670  0.6283975285
##  [314,]  0.975839572  0.9766234723
##  [315,]  0.629975670  0.6283975285
##  [316,]  1.505640185  1.5100423044
##  [317,]  0.975839572  0.9766234723
##  [318,]  0.975839572  0.9766234723
##  [319,]  1.981989105  1.9896443997
##  [320,]  0.378438287  0.3751422966
##  [321,] -0.067411725 -0.0737526018
##  [322,]  2.359295180  2.3695272475
##  [323,]  0.708581102  0.7075397884
##  [324,]  0.629975670  0.6283975285
##  [325,]  0.857931424  0.8579100823
##  [326,]  1.355661021  1.3590388724
##  [327,]  0.149036194  0.1441735252
##  [328,] -0.077473220 -0.0838828111
##  [329,]  0.134667121  0.1297063201
##  [330,]  0.496346435  0.4938556866
##  [331,]  2.359295180  2.3695272475
##  [332,]  1.730451722  1.7363891678
##  [333,]  1.699009549  1.7047322639
##  [334,]  0.331275028  0.3276569407
##  [335,]  0.787186535  0.7866820484
##  [336,]  0.001132212 -0.0047405512
##  [337,]  1.184930022  1.1871418838
##  [338,]  0.746311710  0.7455280732
##  [339,]  0.873652510  0.8737385343
##  [340,]  0.655129409  0.6537230517
##  [341,]  1.505640185  1.5100423044
##  [342,]  0.534077043  0.5318439713
##  [343,]  1.966268018  1.9738159477
##  [344,]  0.252669595  0.2485146807
##  [345,]  1.278470486  1.2813211731
##  [346,]  2.359295180  2.3695272475
##  [347,]  0.952257942  0.9528807943
##  [348,]  0.133189338  0.1282184456
##  [349,]  2.447333264  2.4581665786
##  [350,] -0.052319482 -0.0585572879
##  [351,]  0.479053240  0.4764443894
##  [352,]  1.710014309  1.7158121803
##  [353,]  0.354856657  0.3513996186
##  [354,]  0.097030840  0.0918130060
##  [355,]  1.101608264  1.1032510882
##  [356,]  0.158343077  0.1535439688
##  [357,]  0.551370238  0.5492552685
##  [358,]  1.966268018  1.9738159477
##  [359,]  0.315553941  0.3118284887
##  [360,]  0.331275028  0.3276569407
##  [361,]  1.045798407  1.0470600836
##  [362,]  0.988416441  0.9892862339
##  [363,]  0.865791967  0.8658243083
##  [364,]  0.252669595  0.2485146807
##  [365,]  1.284758921  1.2876525539
##  [366,]  0.615826692  0.6141519217
##  [367,]  0.158343077  0.1535439688
##  [368,]  0.097030840  0.0918130060
##  [369,]  1.838534191  1.8452097753
##  [370,]  0.136333556  0.1313841360
##  [371,]  1.184930022  1.1871418838
##  [372,]  0.746311710  0.7455280732
##  [373,]  0.174064163  0.1693724207
##  [374,]  0.252669595  0.2485146807
##  [375,]  0.001132212 -0.0047405512
##  [376,]  1.293405518  1.2963582025
##  [377,]  0.445252904  0.4424132176
##  [378,]  0.629975670  0.6283975285
##  [379,]  0.158343077  0.1535439688
##  [380,]  1.038723918  1.0399372802
##  [381,]  0.535649152  0.5334268165
##  [382,]  0.252669595  0.2485146807
##  [383,]  0.551370238  0.5492552685
##  [384,]  1.258819128  1.2615356081
##  [385,]  0.724302189  0.7233682404
##  [386,]  0.535649152  0.5334268165
##  [387,]  0.246381161  0.2421832999
##  [388,]  0.567091324  0.5650837205
##  [389,]  1.530007869  1.5345764050
##  [390,]  0.158343077  0.1535439688
##  [391,]  0.299832855  0.2960000367
##  [392,]  0.721157972  0.7202025500
##  [393,]  0.188213141  0.1836180275
##  [394,]  1.180213696  1.1823933482
##  [395,]  0.252669595  0.2485146807
##  [396,]  0.276251225  0.2722573587
##  [397,]  0.158343077  0.1535439688
##  [398,] -0.077473220 -0.0838828111
##  [399,]  1.180213696  1.1823933482
##  [400,]  0.252669595  0.2485146807
##  [401,]  2.198940098  2.2080770372
##  [402,]  1.010425962  1.0114460667
##  [403,]  0.276251225  0.2722573587
##  [404,]  1.101608264  1.1032510882
##  [405,] -0.061752133 -0.0680543591
##  [406,]  0.881513053  0.8816527603
##  [407,]  3.459771231  3.4775188868
##  [408,]  0.787186535  0.7866820484
##  [409,]  0.394159374  0.3909707486
##  [410,]  0.158343077  0.1535439688
##  [411,]  1.416029993  1.4198201280
##  [412,]  0.472764806  0.4701130086
##  [413,]  0.158343077  0.1535439688
##  [414,]  1.562236097  1.5670247315
##  [415,] -0.009872548 -0.0158204675
##  [416,]  1.136194654  1.1380736826
##  [417,]  0.629975670  0.6283975285
##  [418,]  0.158343077  0.1535439688
##  [419,]  1.543370793  1.5480305892
##  [420,] -0.063324242 -0.0696372043
##  [421,]  0.318698159  0.3149941791
##  [422,]  0.252669595  0.2485146807
##  [423,]  0.158343077  0.1535439688
##  [424,]  1.205367434  1.2077188713
##  [425,]  1.535510250  1.5401163632
##  [426,]  1.136194654  1.1380736826
##  [427,]  1.730451722  1.7363891678
##  [428,]  1.136194654  1.1380736826
##  [429,]  0.095458731  0.0902301608
##  [430,]  0.787186535  0.7866820484
##  [431,]  2.485063871  2.4961548634
##  [432,]  0.636264105  0.6347289093
##  [433,]  0.079737645  0.0744017088
##  [434,]  0.158343077  0.1535439688
##  [435,]  1.015142288  1.0161946023
##  [436,]  1.730451722  1.7363891678
##  [437,]  0.476695077  0.4740701216
##  [438,]  0.988416441  0.9892862339
##  [439,]  0.119040361  0.1139728388
##  [440,]  0.331275028  0.3276569407
##  [441,]  0.032574385  0.0269163528
##  [442,]  1.158204175  1.1602335154
##  [443,]  0.252669595  0.2485146807
##  [444,]  2.885951576  2.8997803892
##  [445,] -0.093194306 -0.0997112631
##  [446,]  0.472764806  0.4701130086
##  [447,]  3.211378065  3.2274293454
##  [448,]  1.129906219  1.1317423018
##  [449,]  0.252669595  0.2485146807
##  [450,]  0.104891383  0.0997272320
##  [451,] -0.014588874 -0.0205690031
##  [452,]  0.582812411  0.5809121725
##  [453,]  0.472764806  0.4701130086
##  [454,]  0.567091324  0.5650837205
##  [455,]  0.313981833  0.3102456435
##  [456,]  0.222799531  0.2184406219
##  [457,]  2.447333264  2.4581665786
##  [458,]  0.354856657  0.3513996186
##  [459,]  0.476537867  0.4739118371
##  [460,]  0.975839572  0.9766234723
##  [461,]  1.966268018  1.9738159477
##  [462,]  0.315553941  0.3118284887
##  [463,]  1.181785805  1.1839761934
##  [464,]  0.975839572  0.9766234723
##  [465,]  0.457043719  0.4542845566
##  [466,] -0.093194306 -0.0997112631
##  [467,]  1.585817726  1.5907674095
##  [468,]  0.271534899  0.2675088231
##  [469,] -0.093194306 -0.0997112631
##  [470,]  1.258819128  1.2615356081
##  [471,]  0.472764806  0.4701130086
##  [472,]  0.102533220  0.0973529642
##  [473,]  0.001132212 -0.0047405512
##  [474,]  1.533938141  1.5385335180
##  [475,]  0.350140331  0.3466510830
##  [476,]  0.079737645  0.0744017088
##  [477,]  0.394159374  0.3909707486
##  [478,]  1.101608264  1.1032510882
##  [479,]  0.551370238  0.5492552685
##  [480,]  2.407244493  2.4178040261
##  [481,]  0.824131088  0.8238789106
##  [482,]  0.813126327  0.8127989942
##  [483,]  0.758888579  0.7581908348
##  [484,]  0.975839572  0.9766234723
##  [485,] -0.077473220 -0.0838828111
##  [486,]  2.805774035  2.8190552840
##  [487,]  0.875224619  0.8753213795
##  [488,]  0.548226021  0.5460895781
##  [489,]  0.188213141  0.1836180275
##  [490,]  1.023002831  1.0241088283
##  [491,]  0.313195778  0.3094542209
##  [492,]  1.180213696  1.1823933482
##  [493,]  0.472764806  0.4701130086
##  [494,] -0.039742612 -0.0458945263
##  [495,]  1.184930022  1.1871418838
##  [496,]  0.746311710  0.7455280732
##  [497,]  0.158343077  0.1535439688
##  [498,]  0.859503532  0.8594929275
##  [499,]  0.944397399  0.9449665683
##  [500,]  1.730451722  1.7363891678
##  [501,]  2.826211447  2.8396322716
##  [502,]  0.666935944  0.6656102191
##  [503,]  2.044873451  2.0529582077
##  [504,]  0.158343077  0.1535439688
##  [505,]  0.394159374  0.3909707486
##  [506,]  0.001132212 -0.0047405512
##  [507,] -0.077473220 -0.0838828111
##  [508,]  1.981989105  1.9896443997
##  [509,]  0.378438287  0.3751422966
##  [510,]  0.565519216  0.5635008753
##  [511,]  1.139417477  1.1413185152
##  [512,]  0.359572983  0.3561481542
##  [513,]  0.875224619  0.8753213795
##  [514,]  1.785475524  1.7917887498
##  [515,]  0.619914175  0.6182673192
##  [516,]  0.661417843  0.6600544325
##  [517,]  1.258819128  1.2615356081
##  [518,] -0.022449417 -0.0284832291
##  [519,]  0.548226021  0.5460895781
##  [520,]  0.188213141  0.1836180275
##  [521,]  2.516506044  2.5278117674
##  [522,]  0.881513053  0.8816527603
##  [523,]  3.491213404  3.5091757908
##  [524,]  1.148771523  1.1507364442
##  [525,] -0.156078652  0.3475374764
##  [526,] -0.022449417 -0.0284832291
##  [527,]  1.313842931  1.3169351901
##  [528,] -0.061752133 -0.0680543591
##  [529,]  2.359295180  2.3695272475
##  [530,]  2.058849496  2.0670297015
##  [531,]  0.586884172  0.5850117416
##  [532,]  2.439472720  2.4502523526
##  [533,] -0.047603156 -0.0538087523
##  [534,]  0.252669595  0.2485146807
##  [535,]  0.001132212 -0.0047405512
##  [536,]  0.001132212 -0.0047405512
##  [537,]  0.315553941  0.3118284887
##  [538,]  0.831205577  0.8310017140
##  [539,]  1.925393194  1.9326619725
##  [540,]  0.064016558  0.0585732568
##  [541,]  1.158204175  1.1602335154
##  [542,]  0.636264105  0.6347289093
##  [543,]  2.433970340  2.4447123944
##  [544,]  0.158343077  0.1535439688
##  [545,]  2.470914893  2.4819092566
##  [546,]  1.051300787  1.0526000418
##  [547,]  0.057728124  0.0522418760
##  [548,]  1.573240857  1.5781046479
##  [549,]  2.044873451  2.0529582077
##  [550,]  0.472764806  0.4701130086
##  [551,]  0.158343077  0.1535439688
##  [552,]  0.472764806  0.4701130086
##  [553,]  0.189785250  0.1852008727
##  [554,]  0.551370238  0.5492552685
##  [555,]  0.231288918  0.2269879860
##  [556,]  2.044873451  2.0529582077
##  [557,]  0.158343077  0.1535439688
##  [558,]  0.315553941  0.3118284887
##  [559,]  1.632855217  1.6381261379
##  [560,]  0.136647977  0.1317007050
##  [561,]  1.728879613  1.7348063226
##  [562,]  2.249247574  2.2587280835
##  [563,]  0.551370238  0.5492552685
##  [564,]  0.472764806  0.4701130086
##  [565,]  0.236948509  0.2326862287
##  [566,]  1.416029993  1.4198201280
##  [567,]  0.315553941  0.3118284887
##  [568,]  1.136194654  1.1380736826
##  [569,]  0.787186535  0.7866820484
##  [570,]  0.472764806  0.4701130086
##  [571,]  0.787186535  1.5160571161
##  [572,]  0.001132212  0.5422907497
##  [573,]  0.284111768  0.2801715847
##  [574,]  1.463193252  1.4673054840
##  [575,]  0.032574385  0.0269163528
##  [576,]  0.276251225  0.2722573587
##  [577,]  2.071599298  2.0798665760
##  [578,]  0.364289309  0.3608966898
##  [579,]  1.710014309  1.7158121803
##  [580,]  1.184930022  1.1871418838
##  [581,]  0.746311710  0.7455280732
##  [582,]  0.111179817  0.1060586128
##  [583,]  0.912955226  0.9133096643
##  [584,]  1.710014309  1.7158121803
##  [585,]  0.158343077  0.1535439688
##  [586,]  1.710014309  1.7158121803
##  [587,]  0.601677715  0.5999063149
##  [588,]  0.526436595  0.5241513437
##  [589,]  0.526436595  0.5241513437
##  [590,]  2.343574093  2.3536987955
##  [591,]  0.582812411  0.5809121725
##  [592,]  0.857931424  0.8579100823
##  [593,]  0.629975670  0.6283975285
##  [594,]  0.318698159  0.3149941791
##  [595,]  0.425601546  0.4226276526
##  [596,]  1.329564017  1.3327636421
##  [597,]  2.162781599  2.1716715976
##  [598,]  0.284111768  0.2801715847
##  [599,]  0.079737645  0.0744017088
##  [600,]  1.258819128  1.2615356081
##  [601,]  0.472764806  0.4701130086
##  [602,]  0.048295472  0.0427448048
##  [603,]  1.636125203  1.6414184559
##  [604,]  0.787186535  0.7866820484
##  [605,]  1.015142288  1.0161946023
##  [606,] -0.077473220 -0.0838828111
##  [607,]  1.038723918  1.0399372802
##  [608,]  0.535649152  0.5334268165
##  [609,]  2.736601254  2.7494100953
##  [610,]  0.142621990  0.1377155168
##  [611,]  3.459771231  3.4775188868
##  [612,]  0.787186535  0.7866820484
##  [613,]  1.970984344  1.9785644833
##  [614,]  0.527788608  0.5255125905
##  [615,]  1.258819128  1.2615356081
##  [616,]  0.724302189  0.7233682404
##  [617,]  1.620404116  1.6255900039
##  [618,]  0.347624958  0.3441185307
##  [619,]  1.321703474  1.3248494161
##  [620,]  0.441322633  0.4384561046
##  [621,]  0.221227423  0.2168577767
##  [622,]  1.713158527  1.7189778707
##  [623,]  0.411138147  0.4080654768
##  [624,]  2.500784958  2.5119833154
##  [625,]  0.813126327  0.8127989942
##  [626,] -0.077473220 -0.0838828111
##  [627,]  0.158343077  0.1535439688
##  [628,]  0.158343077  0.1535439688
##  [629,]  0.079737645  0.0744017088
##  [630,]  0.831205577  0.8310017140
##  [631,]  1.117329350  1.1190795402
##  [632,]  1.714730635  1.7205607159
##  [633,]  0.079737645  0.0744017088
##  [634,]  1.530793924  1.5353678276
##  [635,]  1.023002831  1.0241088283
##  [636,]  0.515997793  0.5136412515
##  [637,]  1.543370793  1.5480305892
##  [638,] -0.063324242 -0.0696372043
##  [639,]  0.897234140  0.8974812123
##  [640,]  1.530793924  1.5353678276
##  [641,]  2.359295180  2.3695272475
##  [642,]  2.359295180  2.3695272475
##  [643,]  0.457043719  0.4542845566
##  [644,]  0.417583792  0.4145551421
##  [645,]  0.708581102  0.7075397884
##  [646,] -0.097124578 -0.1036683761
##  [647,]  0.472764806  0.4701130086
##  [648,]  0.189785250  0.1852008727
##  [649,]  0.771465448  0.7708535964
##  [650,]  0.736250215  0.7353978639
##  [651,]  2.736601254  2.7494100953
##  [652,]  0.142621990  0.1377155168
##  [653,]  1.133050437  1.1349079922
##  [654,]  0.142621990  0.1377155168
##  [655,]  0.394159374  0.3909707486
##  [656,]  0.001132212 -0.0047405512
##  [657,]  1.101608264  1.1032510882
##  [658,]  0.276251225  0.2722573587
##  [659,]  0.001132212 -0.0047405512
##  [660,]  0.001132212 -0.0047405512
##  [661,]  0.565519216  0.5635008753
##  [662,]  1.573240857  1.5781046479
##  [663,]  1.133050437  1.1349079922
##  [664,] -0.077473220 -0.0838828111
##  [665,]  0.001132212 -0.0047405512
##  [666,]  0.857931424  0.8579100823
##  [667,]  2.312131920  2.3220418915
##  [668,] -0.036598395 -0.0427288359
##  [669,]  1.530793924  1.5353678276
##  [670,]  0.386298830  0.3830565226
##  [671,]  1.211655869  1.2140502521
##  [672,]  0.551370238  0.5492552685
##  [673,]  1.258819128  1.2615356081
##  [674,]  0.158343077  0.1535439688
##  [675,]  0.551370238  0.5492552685
##  [676,]  0.001132212 -0.0047405512
##  [677,]  0.551370238  0.5492552685
##  [678,]  0.920815770  0.9212238903
##  [679,]  0.236948509  0.2326862287
##  [680,]  0.551370238  0.5492552685
##  [681,]  0.001132212 -0.0047405512
##  [682,]  1.258819128  1.2615356081
##  [683,]  0.724302189  0.7233682404
##  [684,]  0.831205577  0.8310017140
##  [685,]  1.038723918  1.0399372802
##  [686,]  0.535649152  0.5334268165
##  [687,]  0.978590762  0.9793934514
##  [688,]  0.095458731  0.0902301608
##  [689,]  0.535649152  0.5334268165
##  [690,]  0.629975670  0.6283975285
##  [691,]  0.752631587  0.7518911109
##  [692,]  0.102580383  0.0974004495
##  [693,]  2.485063871  2.4961548634
##  [694,] -0.093194306 -0.0997112631
##  [695,]  0.346996114  0.3434853926
##  [696,]  0.551370238  0.5492552685
##  [697,]  0.001132212 -0.0047405512
##  [698,]  0.064016558  0.0585732568
##  [699,]  0.472764806  0.4701130086
##  [700,]  1.219516412  1.2219644781
##  [701,] -0.038170504 -0.0443116811
##  [702,]  0.001132212 -0.0047405512
##  [703,]  1.101608264  1.1032510882
##  [704,]  0.472764806  0.4701130086
##  [705,]  2.856710355  2.8703394685
##  [706,]  1.851818509  1.8585848172
##  [707,]  0.629975670  0.6283975285
##  [708,]  0.158343077  0.1535439688
##  [709,]  0.001132212 -0.0047405512
##  [710,]  0.350140331  0.3466510830
##  [711,]  1.573240857  1.5781046479
##  [712,]  0.441322633  0.4384561046
##  [713,]  0.236948509  0.2326862287
##  [714,]  0.831205577  0.8310017140
##  [715,]  0.079737645  0.0744017088
##  [716,]  2.044873451  2.0529582077
##  [717,]  0.787186535  0.7866820484
##  [718,]  0.535649152  0.5334268165
##  [719,]  0.831205577  0.8310017140
##  [720,]  2.202084315  2.2112427276
##  [721,]  0.365861418  0.3624795350
##  [722,]  1.337424560  1.3406778681
##  [723,]  0.850070881  0.8499958564
##  [724,]  2.359295180  2.3695272475
##  [725,]  1.133050437  1.1349079922
##  [726,]  0.158343077  0.1535439688
##  [727,]  0.881513053  0.8816527603
##  [728,]  0.079737645  0.0744017088
##  [729,]  2.162781599  2.1716715976
##  [730,]  0.983700115  0.9845376983
##  [731,]  0.630400140  0.6288248967
##  [732,]  0.032920249  0.0272645788
##  [733,]  1.573240857  1.5781046479
##  [734,]  0.755744362  0.7550251444
##  [735,]  0.535649152  0.5334268165
##  [736,] -0.077473220 -0.0838828111
##  [737,]  0.326558702  0.3229084051
##  [738,]  0.535649152  0.5334268165
##  [739,]  2.044873451  2.0529582077
##  [740,]  0.787186535  0.7866820484
##  [741,]  0.551370238  0.5492552685
##  [742,]  1.101608264  1.1032510882
##  [743,]  0.551370238  0.5492552685
##  [744,]  0.001132212 -0.0047405512
##  [745,]  2.359295180  3.4635898491
##  [746,]  0.001132212 -0.0047405512
##  [747,]  0.001132212 -0.0047405512
##  [748,]  0.629975670  0.6283975285
##  [749,]  0.315553941  0.3118284887
##  [750,]  0.001132212 -0.0047405512
##  [751,]  0.535649152  0.5334268165
##  [752,]  0.692860016  0.6917113364
##  [753,]  0.394159374  0.3909707486
##  [754,]  0.551370238  0.5492552685
##  [755,]  0.158343077  0.1535439688
##  [756,]  0.551370238  0.5492552685
##  [757,]  1.636125203  1.6414184559
##  [758,]  0.787186535  0.7866820484
##  [759,]  0.158343077  0.1535439688
##  [760,]  1.073514682  1.0749656445
##  [761,]  0.449780577  0.4469718118
##  [762,]  1.136194654  1.1380736826
##  [763,]  2.610832563  2.6227824793
##  [764,]  0.818628708  0.8183389524
##  [765,]  1.136194654  1.1380736826
##  [766,]  0.626045399  0.6244404155
##  [767,]  0.189785250  0.1852008727
##  [768,]  0.318698159  0.3149941791
##  [769,]  0.831205577  0.8310017140
##  [770,]  1.588081563  1.5930467066
##  [771,]  0.870791272  0.8708577561
##  [772,]  0.079737645  0.0744017088
##  [773,]  1.073514682  1.0749656445
##  [774,]  0.449780577  0.4469718118
##  [775,]  1.416029993  1.4198201280
##  [776,]  0.208650553  0.2041950151
##  [777,]  1.711586418  1.7173950255
##  [778,]  0.774609666  0.7740192868
##  [779,]  1.032828510  1.0340016107
##  [780,]  0.148517398  0.1436511863
##  [781,]  0.079737645  0.0744017088
##  [782,]  0.315553941  0.3118284887
##  [783,]  1.321703474  1.3248494161
##  [784,]  0.912955226  0.9133096643
##  [785,]  0.834349794  0.8341674044
##  [786,]  1.925393194  1.9326619725
##  [787,]  2.076315623  2.0846151116
##  [788,]  0.912955226  0.9133096643
##  [789,]  0.960118486  0.9607950203
##  [790,]  0.551370238  0.5492552685
##  [791,]  0.148124371  0.1432554750
##  [792,]  1.761893895  1.7680460718
##  [793,]  1.494635425  1.4989623880
##  [794,]  0.629975670  0.6283975285
##  [795,]  0.001132212 -0.0047405512
##  [796,]  0.869219164  0.8692749109
##  [797,]  0.551370238  0.5492552685
##  [798,]  0.158343077  0.1535439688
##  [799,]  1.799624502  1.8060343566
##  [800,]  0.414596786  0.4115477362
##  [801,]  0.158343077  0.1535439688
##  [802,]  1.966268018  1.9738159477
##  [803,]  0.394159374  0.3909707486
##  [804,]  0.001132212 -0.0047405512
##  [805,]  0.944397399  0.9449665683
##  [806,]  0.472764806  0.4701130086
##  [807,]  0.944397399  0.9449665683
##  [808,]  0.079737645  0.0744017088
##  [809,]  0.307693398  0.3039142627
##  [810,]  1.206939543  1.2093017165
##  [811,]  2.024436038  2.0323812201
##  [812,]  0.147338316  0.1424640524
##  [813,]  0.472764806  0.4701130086
##  [814,]  2.316848246  2.3267904271
##  [815,]  0.758888579  0.7581908348
##  [816,]  0.857931424  0.8579100823
##  [817,]  1.739884373  1.7458862390
##  [818,]  0.323414485  0.3197427147
##  [819,]  1.020990532  1.0220827864
##  [820,]  0.580391364  0.5784745909
##  [821,] -0.006728331 -0.0126547771
##  [822,]  0.189785250  0.1852008727
##  [823,]  2.044873451  2.0529582077
##  [824,]  0.515997793  0.5136412515
##  [825,]  0.988416441  0.9892862339
##  [826,]  0.724302189  0.7233682404
##  [827,]  0.551370238  0.5492552685
##  [828,]  0.677138930  0.6758828845
##  [829,]  1.494635425  1.4989623880
##  [830,]  0.551370238  0.5492552685
##  [831,]  0.064016558  0.0585732568
##  [832,]  1.573240857  1.5781046479
##  [833,]  1.180213696  1.1823933482
##  [834,]  0.865791967  0.8658243083
##  [835,]  0.276251225  0.2722573587
##  [836,]  0.828061359  0.8278360236
##  [837,]  0.296688638  0.2928343463
##  [838,]  0.221227423  0.2168577767
##  [839,]  1.416029993  1.4198201280
##  [840,]  1.101608264  1.1032510882
##  [841,]  0.284111768  0.2801715847
##  [842,]  0.565519216  0.5635008753
##  [843,]  2.316848246  2.3267904271
##  [844,]  0.758888579  0.7581908348
##  [845,]  0.629975670  0.6283975285
##  [846,]  0.095458731  0.0902301608
##  [847,]  0.865791967  0.8658243083
##  [848,]  0.032574385  0.0269163528
##  [849,]  0.732162732  0.7312824664
##  [850,]  1.730451722  1.7363891678
##  [851,]  0.661417843  0.6600544325
##  [852,]  1.038723918  1.0399372802
##  [853,]  0.535649152  0.5334268165
##  [854,]  0.661417843  0.6600544325
##  [855,]  0.221227423  0.2168577767
##  [856,]  1.222660629  1.2251301685
##  [857,]  0.077159386  0.0718058427
##  [858,]  0.158343077  0.1535439688
##  [859,]  0.284111768  0.2801715847
##  [860,]  2.123478883  2.1321004676
##  [861,]  0.629975670  0.6283975285
##  [862,]  4.010009257  4.0315147065
##  [863,]  1.887662586  1.8946736878
##  [864,]  1.011998071  1.0130289119
##  [865,] -0.077473220 -0.0838828111
##  [866,]  0.700720559  0.6996255624
##  [867,]  2.280689747  2.2903849875
##  [868,]  0.430317872  0.4273761882
##  [869,]  1.136194654  1.1380736826
##  [870,]  0.661417843  0.6600544325
##  [871,]  0.221227423  0.2168577767
##  [872,]  1.101608264  1.1032510882
##  [873,]  0.582812411  0.5809121725
##  [874,]  3.195656979  3.2116008934
##  [875,]  1.562236097  1.5670247315
##  [876,]  1.015142288  1.0161946023
##  [877,]  0.057728124  0.0522418760
##  [878,]  1.101608264  1.1032510882
##  [879,]  0.205506336  0.2010293247
##  [880,]  0.284111768  0.2801715847
##  [881,]  2.359295180  2.3695272475
##  [882,]  0.394159374  0.3909707486
##  [883,]  0.221227423  0.2168577767
##  [884,]  2.359295180  2.3695272475
##  [885,]  0.960118486  0.9607950203
##  [886,]  1.981989105  1.9896443997
##  [887,]  0.535649152  0.5334268165
##  [888,]  0.268390682  0.2643431327
##  [889,]  0.001132212 -0.0047405512
##  [890,] -0.093194306 -0.0997112631
##  [891,] -0.077473220 -0.0838828111
##  [892,]  0.174064163  0.1693724207
##  [893,]  0.403026066  0.3998979955
##  [894,] -0.079768499 -0.0861937651
##  [895,]  1.180213696  1.1823933482
##  [896,]  0.252669595  0.2485146807
##  [897,]  0.629975670  0.6283975285
##  [898,]  0.001132212 -0.0047405512
##  [899,]  1.180213696  1.1823933482
##  [900,]  0.252669595  0.2485146807
##  [901,]  0.021569625  0.0158364364
##  [902,]  0.629975670  0.6283975285
##  [903,]  0.032574385  0.0269163528
##  [904,]  0.828061359  0.8278360236
##  [905,]  0.296688638  0.2928343463
##  [906,]  0.629975670  0.6283975285
##  [907,]  0.001132212 -0.0047405512
##  [908,]  0.472764806  0.4701130086
##  [909,]  0.854787206  0.8547443920
##  [910,]  2.076315623  2.0846151116
##  [911,]  0.912955226  0.9133096643
##  [912,]  0.551370238  0.5492552685
##  [913,]  1.416029993  1.4198201280
##  [914,]  0.111179817  0.1060586128
##  [915,]  0.988416441  0.9892862339
##  [916,]  0.519928065  0.5175983645
##  [917,] -0.046031047 -0.0522259071
##  [918,]  0.299832855  0.2960000367
##  [919,]  0.944397399  0.9449665683
##  [920,]  0.158343077  0.1535439688
##  [921,]  0.677138930  0.6758828845
##  [922,]  0.284111768  0.2801715847
##  [923,]  0.064016558  0.0585732568
##  [924,]  0.472764806  0.4701130086
##  [925,]  0.158343077  0.1535439688
##  [926,]  1.966268018  1.9738159477
##  [927,]  1.463193252  1.4673054840
##  [928,]  1.023002831  1.0241088283
##  [929,]  0.158343077  0.1535439688
##  [930,]  0.386298830  0.3830565226
##  [931,] -0.077473220 -0.0838828111
##  [932,]  1.730451722  1.7363891678
##  [933,]  0.158343077  0.1535439688
##  [934,]  0.818628708  0.8183389524
##  [935,]  1.573240857  1.5781046479
##  [936,]  0.850070881  0.8499958564
##  [937,] -0.069612677 -0.0759685851
##  [938,]  0.881513053  0.8816527603
##  [939,]  0.395731482  0.3925535938
##  [940,]  0.629975670  0.6283975285
##  [941,]  0.158343077  0.1535439688
##  [942,]  0.064016558  0.0585732568
##  [943,]  1.054445004  1.0557657322
##  [944,]  0.661417843  0.6600544325
##  [945,]  0.315553941  0.3118284887
##  [946,]  3.145349502  3.1609498470
##  [947,]  0.284111768  0.2801715847
##  [948,]  1.335852452  1.3390950229
##  [949,]  3.695587528  3.7149456667
##  [950,]  1.494635425  1.4989623880
##  [951,]  1.651846289  1.6572469079
##  [952,]  1.651846289  1.6572469079
##  [953,]  0.318698159  0.3149941791
##  [954,]  0.318698159  0.3149941791
##  [955,]  0.826489251  0.8262531784
##  [956,]  0.433462090  0.4305418786
##  [957,]  2.485063871  2.4961548634
##  [958,] -0.093194306 -0.0997112631
##  [959,]  2.359295180  2.3695272475
##  [960,]  0.001132212 -0.0047405512
##  [961,]  1.136194654  1.1380736826
##  [962,] -0.077473220 -0.0838828111
##  [963,]  0.079737645  0.0744017088
##  [964,]  1.416029993  1.4198201280
##  [965,]  0.472764806  0.4701130086
##  [966,]  0.318698159  0.3149941791
##  [967,]  0.944397399  0.9449665683
##  [968,]  0.236948509  0.2326862287
##  [969,]  2.359295180  2.3695272475
##  [970,]  0.001132212 -0.0047405512
##  [971,]  2.359295180  2.3695272475
##  [972,]  0.001132212 -0.0047405512
##  [973,]  0.988416441  0.9892862339
##  [974,]  1.000993310  1.0019489955
##  [975,]  1.258819128  1.2615356081
##  [976,]  0.048295472  0.0427448048
##  [977,]  2.485063871  2.4961548634
##  [978,]  0.636264105  0.6347289093
##  [979,]  0.850070881  0.8499958564
##  [980,]  1.573240857  1.5781046479
##  [981,]  3.695587528  3.7149456667
##  [982,]  2.516506044  2.5278117674
##  [983,]  0.126900904  0.1218870648
##  [984,]  3.695587528  3.7149456667
##  [985,]  2.516506044  2.5278117674
##  [986,]  1.530793924  1.5353678276
##  [987,]  1.416029993  1.4198201280
##  [988,]  0.472764806  0.4701130086
##  [989,]  0.944397399  0.9449665683
##  [990,]  0.236948509  0.2326862287
##  [991,]  0.318698159  0.3149941791
##  [992,]  1.136194654  1.1380736826
##  [993,]  0.299832855  0.2960000367
##  [994,]  2.359295180  3.4635898491
##  [995,]  0.001132212 -0.0047405512
##  [996,]  2.453621698  2.4644979594
##  [997,]  0.850070881  0.8499958564
##  [998,]  0.565519216  0.5635008753
##  [999,]  0.857931424  0.8579100823
## [1000,]  2.359295180  3.4635898491
## [1001,]  1.887662586  1.8946736878
## [1002,]  0.787186535  0.7866820484
## [1003,]  0.857931424  0.8579100823
## [1004,]  0.607966149  0.6062376957
## [1005,]  1.258819128  1.2615356081
## [1006,]  0.158343077  0.1535439688
## [1007,]  1.530793924  1.5353678276
## [1008,]  3.302560366  3.3192343669
## [1009,]  1.416029993  1.4198201280
## [1010,]  1.015142288  1.0161946023
## [1011,]  1.461951286  1.4660550363
## [1012,]  0.316261390  0.3125407690
## [1013,]  1.180213696  1.1823933482
## [1014,]  0.394159374  0.3909707486
## [1015,]  0.472764806  0.4701130086
## [1016,]  0.189785250  0.1852008727
## [1017,]  0.394159374  0.3909707486
## [1018,]  0.102533220  0.0973529642
## [1019,]  1.494635425  1.4989623880
## [1020,]  0.551370238  0.5492552685
## [1021,]  1.015142288  1.0161946023
## [1022,]  0.076593427  0.0712360184
## [1023,]  0.450755285  0.4479531758
## [1024,]  1.543370793  1.5480305892
## [1025,] -0.063324242 -0.0696372043
## [1026,]  0.902657915  0.9029420283
## [1027,]  0.477481132  0.4748615442
## [1028,]  0.787186535  0.7866820484
## [1029,]  0.865791967  0.8658243083
## [1030,]  0.276251225  0.2722573587
## [1031,]  1.228084404  1.2305909845
## [1032,]  0.760460688  0.7597736800
## [1033,]  0.001132212 -0.0047405512
## [1034,]  0.700720559  0.6996255624
## [1035,]  1.158235617  1.1602651723
## [1036,] -0.100740428 -0.1073089201
## [1037,]  0.472764806  0.4701130086
## [1038,]  0.472764806  0.4701130086
## [1039,]  0.189785250  0.1852008727
## [1040,]  0.551370238  0.5492552685
## [1041,]  1.015142288  1.0161946023
## [1042,]  0.064016558  0.0585732568
## [1043,]  0.315553941  0.3118284887
## [1044,]  2.297982942  2.3077962847
## [1045,] -0.085333763 -0.0917970371
## [1046,]  1.101608264  1.1032510882
## [1047,]  0.582812411  0.5809121725
## [1048,]  0.944397399  0.9449665683
## [1049,]  0.236948509  0.2326862287
## [1050,]  0.346996114  0.3434853926
## [1051,]  1.573240857  1.5781046479
## [1052,]  0.629975670  0.6283975285
## [1053,]  1.494635425  1.4989623880
## [1054,]  1.494635425  1.4989623880
## [1055,]  1.335852452  1.3390950229
## [1056,]  0.079737645  0.0744017088
## [1057,]  0.346996114  0.3434853926
## [1058,]  0.276251225  0.2722573587
## [1059,]  0.001132212 -0.0047405512
## [1060,] -0.077473220 -0.0838828111
## [1061,]  2.830927773  2.8443808072
## [1062,]  0.598533497  0.5967406245
## [1063,]  1.384587820  1.3881632240
## [1064,]  0.095458731  0.0902301608
## [1065,] -0.077473220 -0.0838828111
## [1066,] -0.156078652  0.3475374764
## [1067,]  2.316848246  2.3267904271
## [1068,]  0.758888579  0.7581908348
## [1069,]  1.873513608  1.8804280810
## [1070,]  1.101608264  1.1032510882
## [1071,]  0.001132212 -0.0047405512
## [1072,]  1.620246906  1.6254317194
## [1073,]  0.192457834  0.1878917096
## [1074,]  1.730451722  1.7363891678
## [1075,]  1.337424560  1.3406778681
## [1076,]  0.857931424  0.8579100823
## [1077,]  0.629975670  0.6283975285
## [1078,] -0.077473220 -0.0838828111
## [1079,]  0.988416441  0.9892862339
## [1080,]  0.394159374  0.3909707486
## [1081,]  0.701050702  0.6999579599
## [1082,]  0.423054730  0.4200634434
## [1083,]  0.787186535  0.7866820484
## [1084,]  0.315553941  0.3118284887
## [1085,]  0.657723388  0.6563347462
## [1086,]  1.384587820  1.3881632240
## [1087,]  0.095458731  0.0902301608
## [1088,]  0.768321231  0.7676879060
## [1089,]  0.076593427  0.0712360184
## [1090,]  2.359295180  2.3695272475
## [1091,]  0.787186535  0.7866820484
## [1092,]  0.079737645  0.0744017088
## [1093,]  0.457043719  0.4542845566
## [1094,]  0.472764806  0.4701130086
## [1095,]  1.117329350  1.1190795402
## [1096,]  0.472764806  0.4701130086
## [1097,]  1.136194654  1.1380736826
## [1098,]  1.966268018  1.9738159477
## [1099,]  0.315553941  0.3118284887
## [1100,]  1.310698713  1.3137694997
## [1101,]  0.087598188  0.0823159348
## [1102,]  1.136194654  1.1380736826
## [1103,]  0.677138930  0.6758828845
## [1104,]  2.453621698  2.4644979594
## [1105,]  0.472764806  0.4701130086
## [1106,]  0.988416441  0.9892862339
## [1107,]  1.384587820  1.3881632240
## [1108,]  0.409880460  0.4067992006
## [1109,]  0.268390682  0.2643431327
## [1110,]  0.001132212 -0.0047405512
## [1111,]  0.988416441  0.9892862339
## [1112,]  2.453621698  2.4644979594
## [1113,]  0.850070881  0.8499958564
## [1114,]  0.236948509  0.2326862287
## [1115,]  0.787186535  0.7866820484
## [1116,]  0.394159374  0.3909707486
## [1117,]  0.551370238  0.5492552685
## [1118,]  0.480845444  0.4782488329
## [1119,]  0.787186535  0.7866820484
## [1120,]  0.001132212 -0.0047405512
## [1121,]  0.920029715  0.9204324677
## [1122,]  0.026285951  0.0205849720
## [1123,]  2.736601254  2.7494100953
## [1124,]  0.142621990  0.1377155168
## [1125,]  0.079737645  0.0744017088
## [1126,]  1.152701795  1.1546935572
## [1127,]  0.099782030  0.0945829851
## [1128,]  1.101608264  1.1032510882
## [1129,]  0.158343077  0.1535439688
## [1130,]  0.284111768  0.2801715847
## [1131,]  1.494635425  1.4989623880
## [1132,]  0.551370238  0.5492552685
## [1133,]  0.221227423  0.2168577767
## [1134,]  1.887662586  1.8946736878
## [1135,]  1.293405518  1.2963582025
## [1136,]  3.459771231  3.4775188868
## [1137,]  1.101608264  1.1032510882
## [1138,]  0.079737645  0.0744017088
## [1139,]  0.444466850  0.4416217950
## [1140,]  1.573240857  1.5781046479
## [1141,]  0.850070881  0.8499958564
## [1142,]  0.001132212 -0.0047405512
## [1143,]  1.573240857  1.5781046479
## [1144,]  2.044873451  2.0529582077
## [1145,]  1.416029993  1.4198201280
## [1146,]  1.038723918  1.0399372802
## [1147,]  0.535649152  0.5334268165
## [1148,]  0.661417843  0.6600544325
## [1149,]  0.221227423  0.2168577767
## [1150,]  1.101608264  1.1032510882
## [1151,]  0.158343077  0.1535439688
## [1152,]  1.180213696  1.1823933482
## [1153,]  0.101747166  0.0965615416
## [1154,]  2.316848246  2.3267904271
## [1155,]  0.758888579  0.7581908348
## [1156,]  0.661417843  0.6600544325
## [1157,]  0.221227423  0.2168577767
## [1158,]  0.284111768  0.2801715847
## [1159,]  0.857931424  0.8579100823
## [1160,]  1.627164184  1.6323962383
## [1161,]  0.988102020  0.9889696648
## [1162,]  0.629975670  0.6283975285
## [1163,]  0.032574385  0.0269163528
## [1164,]  1.821634023  1.8281941894
## [1165,]  0.244809052  0.2406004547
## [1166,]  0.677138930  0.6758828845
## [1167,]  0.472764806  0.4701130086
## [1168,]  0.001132212 -0.0047405512
## [1169,]  0.472764806  0.4701130086
## [1170,]  1.136194654  1.1380736826
## [1171,]  1.636125203  1.6414184559
## [1172,]  0.787186535  0.7866820484
## [1173,]  1.730451722  1.7363891678
## [1174,]  0.661417843  0.6600544325
## [1175,]  1.923663874  1.9309208428
## [1176,]  0.305712541  0.3019198777
## [1177,]  0.708581102  0.7075397884
## [1178,]  0.857931424  0.8579100823
## [1179,]  0.496346435  0.4938556866
## [1180,]  0.857931424  0.8579100823
## [1181,]  0.472764806  0.4701130086
## [1182,]  0.189785250  0.1852008727
## [1183,]  0.001132212 -0.0047405512
## [1184,]  1.581101400  1.5860188739
## [1185,]  0.262102247  0.2580117519
## [1186,]  1.533938141  1.5385335180
## [1187,]  0.350140331  0.3466510830
## [1188,]  1.533938141  1.5385335180
## [1189,]  0.350140331  0.3466510830
## [1190,]  1.153330638  1.1553266953
## [1191,]  1.205367434  1.2077188713
## [1192,]  0.857931424  0.8579100823
## [1193,]  1.101608264  1.1032510882
## [1194,]  0.859503532  0.8594929275
## [1195,]  0.552942347  0.5508381137
## [1196,]  0.472764806  0.4701130086
## [1197,]  0.001132212 -0.0047405512
## [1198,]  1.730451722  1.7363891678
## [1199,]  0.158343077  0.1535439688
## [1200,]  0.001132212 -0.0047405512
## [1201,]  0.861861695  0.8618671953
## [1202,]  0.056942069  0.0514504534
## [1203,]  0.001132212 -0.0047405512
## [1204,]  0.001132212 -0.0047405512
## [1205,]  0.787186535  0.7866820484
## [1206,]  1.258819128  1.2615356081
## [1207,]  0.394159374  0.3909707486
## [1208,]  0.001132212 -0.0047405512
## [1209,]  0.906839724  0.9071523965
## [1210,]  0.394159374  0.3909707486
## [1211,]  0.315553941  0.3118284887
## [1212,] -0.085333763 -0.0917970371
## [1213,]  0.857931424  0.8579100823
## [1214,]  1.657505881  1.6629451506
## [1215,]  0.988416441  0.9892862339
## [1216,]  0.315553941  0.3118284887
## [1217,]  2.360945894  2.3711892349
## [1218,]  0.018268197  0.0125124615
## [1219,]  1.063877656  1.0652628034
## [1220,] -0.077473220 -0.0838828111
## [1221,]  0.551370238  0.5492552685
## [1222,]  0.944397399  0.9449665683
## [1223,]  1.573240857  1.5781046479
## [1224,]  0.369005635  0.3656452254
## [1225,]  1.023002831  1.0241088283
## [1226,]  0.048295472  0.0427448048
## [1227,]  0.331275028  0.9512662922
## [1228,] -0.470500381 -0.0419690702
## [1229,]  0.818628708  0.8183389524
## [1230,]  0.565519216  0.5635008753
## [1231,]  0.857931424  0.8579100823
## [1232,]  2.610832563  2.6227824793
## [1233,]  0.818628708  0.8183389524
## [1234,]  2.830927773  2.8443808072
## [1235,]  0.598533497  0.5967406245
## [1236,]  0.629975670  0.6283975285
## [1237,]  0.315553941  0.3118284887
## [1238,]  0.472764806  0.4701130086
## [1239,]  0.189785250  0.1852008727
## [1240,]  0.001132212 -0.0047405512
## [1241,] -0.077473220 -0.0838828111
## [1242,] -0.077473220 -0.0838828111
## [1243,]  0.857931424  0.8579100823
## [1244,]  0.001132212 -0.0047405512
## [1245,]  1.533938141  1.5385335180
## [1246,]  0.350140331  0.3466510830
## [1247,]  2.823067230  2.8364665812
## [1248,]  1.881374152  1.8883423070
## [1249,]  1.180213696  1.1823933482
## [1250,]  0.101747166  0.0965615416
## [1251,]  0.629975670  0.6283975285
## [1252,]  0.315553941  0.3118284887
## [1253,]  0.565519216  0.5635008753
## [1254,]  0.857931424  0.8579100823
## [1255,]  0.857931424  0.8579100823
## [1256,] -0.061752133 -0.0680543591
## [1257,] -0.044458938 -0.0506430619
## [1258,]  1.683288462  1.6889038119
## [1259,]  0.740023275  0.7391966924
## [1260,]  0.079737645  0.0744017088
## [1261,]  1.581101400  1.5860188739
## [1262,]  0.262102247  0.2580117519
## [1263,]  0.386298830  0.3830565226
## [1264,]  0.787186535  1.5160571161
## [1265,]  0.001132212  0.5422907497
## [1266,]  1.730451722  1.7363891678
## [1267,]  1.180213696  1.1823933482
## [1268,]  1.205367434  1.2077188713
## [1269,]  0.859503532  0.8594929275
## [1270,]  2.988138637  3.0026653271
## [1271,]  0.975839572  0.9766234723
## [1272,]  1.000993310  1.0019489955
## [1273,]  0.057728124  0.0522418760
## [1274,]  2.500784958  2.5119833154
## [1275,]  1.205367434  1.2077188713
## [1276,]  2.407244493  2.4178040261
## [1277,]  0.824131088  0.8238789106
## [1278,]  0.551370238  0.5492552685
## [1279,]  0.911383118  0.9117268191
## [1280,]  0.133189338  0.1282184456
## [1281,]  2.407244493  2.4178040261
## [1282,]  0.824131088  0.8238789106
## [1283,]  3.695587528  3.7149456667
## [1284,]  0.787186535  0.7866820484
## [1285,]  1.436467405  1.4403971156
## [1286,]  0.975037797  0.9758162212
## [1287,]  0.350140331  0.3466510830
## [1288,]  1.620404116  1.6255900039
## [1289,]  1.416029993  1.4198201280
## [1290,]  2.830927773  2.8443808072
## [1291,]  0.850070881  0.8499958564
## [1292,]  0.472764806  0.4701130086
## [1293,]  0.158343077  0.1535439688
## [1294,]  0.686571581  0.6853799556
## [1295,]  1.188074239  1.1903075742
## [1296,]  2.801576505  2.8148290873
## [1297,]  1.082035511  1.0835446655
## [1298,]  1.586289359  1.5912422631
## [1299,] -0.103098591 -0.1096831879
## [1300,]  1.730451722  1.7363891678
## [1301,]  0.158343077  0.1535439688
## [1302,]  0.842210337  0.8420816304
## [1303,]  0.260530139  0.2564289067
## [1304,]  0.472764806  0.4701130086
## [1305,]  0.189785250  0.1852008727
## [1306,] -0.077473220 -0.0838828111
## [1307,]  0.479053240  0.4764443894
## [1308,] -0.024807580 -0.0308574969
## [1309,]  0.119826415  0.1147642614
## [1310,]  2.500784958  2.5119833154
## [1311,]  0.669278386  0.6679686585
## [1312,] -0.077473220 -0.0838828111
## [1313,]  0.857931424  0.8579100823
## [1314,]  0.629975670  0.6283975285
## [1315,]  0.315553941  0.3118284887
## [1316,]  0.079737645  0.0744017088
## [1317,]  0.857931424  0.8579100823
## [1318,]  0.315553941  0.3118284887
## [1319,]  1.243098042  1.2457071561
## [1320,]  0.661417843  0.6600544325
## [1321,]  0.221227423  0.2168577767
## [1322,]  0.496346435  0.4938556866
## [1323,]  1.161348392  1.1633992058
## [1324,]  0.348568223  0.3450682378
## [1325,]  1.711586418  1.7173950255
## [1326,]  0.774609666  0.7740192868
## [1327,]  0.551370238  0.5492552685
## [1328,] -0.030309961 -0.0363974551
## [1329,]  0.686571581  0.6853799556
## [1330,]  0.405950188  0.4028420876
## [1331,]  1.689576897  1.6952351927
## [1332,]  0.684999473  0.6837971104
## [1333,]  1.240834205  1.2434278590
## [1334,] -0.084704920 -0.0911638990
## [1335,]  0.315553941  0.3118284887
## [1336,]  0.079737645  0.0744017088
## [1337,]  0.315553941  0.3118284887
## [1338,]  0.010564864  0.0047565200
## [1339,]  0.409880460  0.4067992006
## [1340,]  0.032574385  0.0269163528
## [1341,]  0.787186535  0.7866820484
## [1342,]  1.180213696  1.1823933482
## [1343,]  0.358912698  0.3554833593
## [1344,]  1.494635425  1.4989623880
## [1345,]  0.708455334  0.7074131608
## [1346,]  1.004137528  1.0051146859
## [1347,]  0.477481132  0.4748615442
## [1348,] -0.077473220 -0.0838828111
## [1349,]  3.546237206  3.5645753728
## [1350,]  1.577957183  1.5828531835
## [1351,]  1.581101400  1.5860188739
## [1352,]  0.262102247  0.2580117519
## [1353,]  1.766122867  1.7723039254
## [1354,]  1.271348834  1.2741508844
## [1355,] -0.044458938 -0.0506430619
## [1356,]  0.551370238  0.5492552685
## [1357,] -0.077473220 -0.0838828111
## [1358,]  0.708581102  0.7075397884
## [1359,]  0.079737645  0.0744017088
## [1360,]  0.551370238  0.5492552685
## [1361,] -0.077473220 -0.0838828111
## [1362,]  0.141049882  0.1361326716
## [1363,]  0.218083205  0.2136920863
## [1364,]  1.180213696  1.1823933482
## [1365,]  0.875224619  0.8753213795
## [1366,]  1.039148387  1.0403646484
## [1367,]  2.507073392  2.5183146962
## [1368,]  0.144194099  0.1392983620
## [1369,]  0.383940667  0.3806822548
## [1370,]  1.205367434  1.2077188713
## [1371,]  0.472764806  0.4701130086
## [1372,]  0.189785250  0.1852008727
## [1373,]  1.761893895  1.7680460718
## [1374,]  0.567091324  0.5650837205
## [1375,]  0.551370238  0.5492552685
## [1376,]  0.394159374  0.3909707486
## [1377,]  1.293405518  1.2963582025
## [1378,]  1.856220413  1.8630167838
## [1379,]  0.053011798  0.0474933404
## [1380,]  1.038723918  1.0399372802
## [1381,]  0.535649152  0.5334268165
## [1382,]  0.629975670  0.6283975285
## [1383,] -0.077473220 -0.0838828111
## [1384,]  0.079737645  0.0744017088
## [1385,]  1.195934782  1.1982218002
## [1386,]  0.158343077  0.1535439688
## [1387,]  0.768321231  0.7676879060
## [1388,]  1.258819128  1.2615356081
## [1389,]  0.724302189  0.7233682404
## [1390,]  0.496346435  0.4938556866
## [1391,]  0.944397399  0.9449665683
## [1392,]  3.695587528  3.7149456667
## [1393,]  1.494635425  1.4989623880
## [1394,]  1.180213696  1.1823933482
## [1395,]  0.394159374  0.3909707486
## [1396,]  0.944397399  0.9449665683
## [1397,]  0.029430168  0.0237506624
## [1398,] -0.038170504 -0.0443116811
## [1399,]  1.416029993  1.4198201280
## [1400,]  0.208650553  0.2041950151
## [1401,]  1.321703474  1.3248494161
## [1402,]  0.409880460  0.4067992006
## [1403,]  0.243236944  0.2390176095
## [1404,]  0.479053240  0.4764443894
## [1405,]  0.565519216  0.5635008753
## [1406,] -0.077473220 -0.0838828111
## [1407,]  2.830927773  2.8443808072
## [1408,]  0.850070881  0.8499958564
## [1409,]  0.299832855  0.2960000367
## [1410,]  0.284111768  0.2801715847
## [1411,]  1.188074239  1.1903075742
## [1412,]  0.001132212 -0.0047405512
## [1413,]  1.195934782  1.1982218002
## [1414,]  0.189785250  0.1852008727
## [1415,]  0.787186535  0.7866820484
## [1416,]  0.001132212 -0.0047405512
## [1417,]  0.708581102  0.7075397884
## [1418,]  0.158343077  0.1535439688
## [1419,]  0.064016558  0.0585732568
## [1420,]  0.158343077  0.1535439688
## [1421,] -0.077473220 -0.0838828111
## [1422,]  1.406597341  1.4103230568
## [1423,]  2.823067230  2.8364665812
## [1424,]  1.881374152  1.8883423070
## [1425,]  0.857931424  0.8579100823
## [1426,]  1.258819128  1.2615356081
## [1427,]  0.472764806  0.4701130086
## [1428,]  0.221227423  0.2168577767
## [1429,]  0.299832855  0.2960000367
## [1430,]  2.725596494  2.7383301789
## [1431,]  0.546653912  0.5445067329
## [1432,] -0.077473220 -0.0838828111
## [1433,]  0.315553941  0.3118284887
## [1434,]  0.944397399  0.9449665683
## [1435,]  0.335205299  0.3316140537
## [1436,]  0.708581102  0.7075397884
## [1437,]  0.565519216  0.5635008753
## [1438,]  0.694432125  0.6932941816
## [1439,]  0.037290711  0.0316648884
## [1440,]  0.629975670  0.6283975285
## [1441,]  1.416029993  1.4198201280
## [1442,]  0.115110089  0.1100157258
## [1443,]  0.975839572  0.9766234723
## [1444,]  0.315553941  0.3118284887
## [1445,]  0.699148451  0.6980427172
## [1446,]  0.857931424  0.8579100823
## [1447,]  0.378438287  0.3751422966
## [1448,]  0.032574385  0.0269163528
## [1449,] -0.082189546 -0.0886313467
## [1450,]  0.787186535  0.7866820484
## [1451,]  0.158343077  0.1535439688
## [1452,]  1.821634023  1.8281941894
## [1453,]  0.428745764  0.4257933430
## [1454,]  1.133050437  1.1349079922
## [1455,]  1.573240857  1.5781046479
## [1456,]  0.629975670  0.6283975285
## [1457,]  2.112631333  2.1211788357
## [1458,]  0.049710369  0.0441693655
## [1459,]  2.736601254  2.7494100953
## [1460,]  0.142621990  0.1377155168
## [1461,]  0.857931424  0.8579100823
## [1462,]  2.500784958  2.5119833154
## [1463,]  1.530793924  1.5353678276
## [1464,]  0.994862087  0.9957758992
## [1465,]  0.787186535  0.7866820484
## [1466,]  1.205367434  1.2077188713
## [1467,]  1.180213696  1.1823933482
## [1468,]  0.101747166  0.0965615416
## [1469,]  1.573240857  1.5781046479
## [1470,]  0.409880460  0.4067992006
## [1471,]  1.312270822  1.3153523449
## [1472,] -0.072756894 -0.0791342755
## [1473,]  1.541798684  1.5464477440
## [1474,] -0.014588874 -0.0205690031
## [1475,]  0.102533220  0.0973529642
## [1476,]  0.551370238  0.5492552685
## [1477,]  1.038723918  1.0399372802
## [1478,]  0.535649152  0.5334268165
## [1479,]  2.359295180  2.3695272475
## [1480,]  0.787186535  0.7866820484
## [1481,]  1.258819128  1.2615356081
## [1482,]  0.724302189  0.7233682404
## [1483,]  0.661417843  0.6600544325
## [1484,]  0.221227423  0.2168577767
## [1485,]  1.180213696  1.1823933482
## [1486,]  0.043579146  0.0379962692
## [1487,]  0.661417843  0.6600544325
## [1488,]  0.221227423  0.2168577767
## [1489,]  0.158343077  0.1535439688
## [1490,]  0.857931424  0.8579100823
## [1491,]  1.543370793  1.5480305892
## [1492,] -0.063324242 -0.0696372043
## [1493,]  0.787186535  0.7866820484
## [1494,] -0.077473220 -0.0838828111
## [1495,]  1.258819128  1.2615356081
## [1496,]  0.535649152  0.5334268165
## [1497,]  1.879802043  1.8867594618
## [1498,]  0.262102247  0.2580117519
## [1499,]  2.288550291  2.2982992135
## [1500,]  0.240092726  0.2358519191
## [1501,]  1.205367434  1.2077188713
## [1502,]  1.337424560  1.3406778681
## [1503,]  0.472764806  0.4701130086
## [1504,] -0.093194306 -0.0997112631
## [1505,]  0.168829041  0.1641015462
## [1506,]  0.299832855  0.2960000367
## [1507,]  1.188074239  1.1903075742
## [1508,]  2.425323743  2.4360067458
## [1509,]  0.375294070  0.3719766062
## [1510,]  0.657723388  0.6563347462
## [1511,]  0.362717201  0.3593138446
## [1512,]  0.158343077  0.1535439688
## [1513,]  1.705046446  1.7108103894
## [1514,]  0.049867580  0.0443276500
## [1515,]  0.284111768  0.2801715847
## [1516,] -0.058607916 -0.0648886687
## [1517,]  1.206939543  1.2093017165
## [1518,]  3.459771231  3.4775188868
## [1519,]  1.494635425  1.4989623880
## [1520,]  0.920029715  0.9204324677
## [1521,]  0.026285951  0.0205849720
## [1522,]  3.289511865  3.3060967518
## [1523,]  2.288393080  2.2981409290
## [1524,]  1.620404116  1.6255900039
## [1525,]  0.189785250  0.1852008727
## [1526,]  0.221227423  0.2168577767
## [1527,]  3.289511865  3.3060967518
## [1528,]  2.288393080  2.2981409290
## [1529,] -0.063324242 -0.0696372043
## [1530,]  2.725596494  2.7383301789
## [1531,]  0.546653912  0.5445067329
## [1532,]  0.001132212 -0.0047405512
## [1533,]  1.533938141  1.5385335180
## [1534,]  0.350140331  0.3466510830
## [1535,]  0.768321231  0.7676879060
## [1536,]  0.372935907  0.3696023384
## [1537,]  0.551370238  0.5492552685
## [1538,]  0.158343077  0.1535439688
## [1539,]  2.044873451  2.0529582077
## [1540,]  0.787186535  0.7866820484
## [1541,]  1.543370793  1.5480305892
## [1542,] -0.063324242 -0.0696372043
## [1543,]  1.101608264  1.1032510882
## [1544,]  0.394159374  0.3909707486
## [1545,]  0.394159374  0.3909707486
## [1546,]  0.001132212 -0.0047405512
## [1547,] -0.077473220 -0.0838828111
## [1548,]  0.001132212 -0.0047405512
## [1549,]  0.001132212 -0.0047405512
## [1550,]  0.944397399  0.9449665683
## [1551,]  0.315553941  0.3118284887
## [1552,]  0.158343077  0.1535439688
## [1553,]  1.101608264  1.1032510882
## [1554,]  0.551370238  0.5492552685
## [1555,]  0.512067522  0.5096841386
## [1556,]  0.920815770  0.9212238903
## [1557,]  0.236948509  0.2326862287
## [1558,] -0.061752133 -0.0680543591
## [1559,]  1.180213696  1.1823933482
## [1560,]  0.101747166  0.0965615416
## [1561,]  2.359295180  2.3695272475
## [1562,]  0.873652510  0.8737385343
## [1563,]  0.472764806  0.4701130086
## [1564,]  0.857931424  0.8579100823
## [1565,]  1.620246906  1.6254317194
## [1566,]  0.192457834  0.1878917096
## [1567,]  1.038723918  1.0399372802
## [1568,]  0.535649152  0.5334268165
## [1569,]  0.315553941  0.3118284887
## [1570,]  2.359295180  2.3695272475
## [1571,]  0.158343077  0.1535439688
## [1572,]  0.158343077  0.1535439688
## [1573,]  1.809057154  1.8155314278
## [1574,]  0.048295472  0.0427448048
## [1575,]  1.258819128  1.2615356081
## [1576,]  0.048295472  0.0427448048
## [1577,]  1.172353153  1.1744791222
## [1578,] -0.077473220 -0.0838828111
## [1579,]  1.222660629  1.2251301685
## [1580,]  0.077159386  0.0718058427
## [1581,]  0.236948509  0.2326862287
## [1582,]  0.928676313  0.9291381163
## [1583,]  0.565519216  0.5635008753
## [1584,]  3.459771231  3.4775188868
## [1585,]  2.359295180  2.3695272475
## [1586,]  1.007281745  1.0082803763
## [1587,]  0.064016558  0.0585732568
## [1588,]  0.865791967  0.8658243083
## [1589,]  0.119040361  0.1139728388
## [1590,]  1.651846289  1.6572469079
## [1591,]  0.441322633  0.4384561046
## [1592,]  0.079737645  0.0744017088
## [1593,]  0.614254584  0.6125690765
## [1594,]  0.857931424  0.8579100823
## [1595,]  0.496346435  0.4938556866
## [1596,]  0.323414485  0.3197427147
## [1597,]  0.350140331  0.3466510830
## [1598,]  0.071877101  0.0664874828
## [1599,]  0.661417843  0.6600544325
## [1600,]  1.180213696  1.1823933482
## [1601,]  0.629975670  0.6283975285
## [1602,]  0.905094683  0.9053954383
## [1603,]  0.361145092  0.3577309994
## [1604,]  1.636125203  1.6414184559
## [1605,]  0.551370238  0.5492552685
## [1606,]  0.189785250  0.1852008727
## [1607,]  1.180213696  1.1823933482
## [1608,]  0.101747166  0.0965615416
## [1609,] -0.044458938 -0.0506430619
## [1610,]  0.290400203  0.2865029655
## [1611,]  1.368866733  1.3723347721
## [1612,]  0.317314703  0.3136012753
## [1613,]  0.079737645  0.0744017088
## [1614,]  1.730451722  1.7363891678
## [1615,]  1.321703474  1.3248494161
## [1616,]  0.857931424  0.8579100823
## [1617,]  2.830927773  2.8443808072
## [1618,]  0.850070881  0.8499958564
## [1619,]  0.472764806  0.4701130086
## [1620,]  0.236948509  0.2326862287
## [1621,]  0.565519216  0.5635008753
## [1622,]  0.273264219  0.2692499528
## [1623,]  2.316848246  2.3267904271
## [1624,]  0.758888579  0.7581908348
## [1625,]  0.268390682  0.2643431327
## [1626,]  0.001132212 -0.0047405512
## [1627,]  0.394159374  0.3909707486
## [1628,]  2.752322341  2.7652385473
## [1629,]  0.331275028  0.3276569407
## [1630,]  0.472764806  0.4701130086
## [1631,]  1.809057154  1.8155314278
## [1632,]  0.346996114  0.3434853926
## [1633,]  0.092471725  0.0872227549
## [1634,]  0.170919946  0.1662067303
## [1635,]  0.919243661  0.9196410451
## [1636,]  0.119826415  0.1147642614
## [1637,]  1.423890536  1.4277343540
## [1638,]  0.875224619  0.8753213795
## [1639,]  1.974128562  1.9817301737
## [1640,]  0.881513053  0.8816527603
## [1641,]  0.831205577  0.8310017140
## [1642,]  0.064016558  0.0585732568
## [1643,]  1.227376955  1.2298787041
## [1644,]  0.472764806  0.4701130086
## [1645,]  0.394159374  0.3909707486
## [1646,]  0.079737645  0.0744017088
## [1647,]  0.906839724  0.9071523965
## [1648,]  1.384587820  1.3881632240
## [1649,]  0.409880460  0.4067992006
## [1650,]  0.661417843  0.6600544325
## [1651,]  0.708581102  0.7075397884
## [1652,]  0.857931424  0.8579100823
## [1653,]  0.824917142  0.8246703332
## [1654,] -0.042886830 -0.0490602167
## [1655,]  0.394159374  0.3909707486
## [1656,]  1.384587820  1.3881632240
## [1657,]  0.409880460  0.4067992006
## [1658,]  1.400308906  1.4039916760
## [1659,]  0.409880460  0.4067992006
## [1660,]  0.857931424  0.8579100823
## [1661,]  1.416029993  1.4198201280
## [1662,]  0.111179817  0.1060586128
## [1663,]  0.236948509  0.2326862287
## [1664,]  1.258819128  1.2615356081
## [1665,]  0.724302189  0.7233682404
## [1666,]  1.923821085  1.9310791273
## [1667,]  1.145627306  1.1475707538
## [1668,]  0.276251225  0.2722573587
## [1669,]  0.358786929  0.3553567316
## [1670,]  0.246381161  0.2421832999
## [1671,]  0.661417843  0.6600544325
## [1672,]  0.221227423  0.2168577767
## [1673,] -0.077473220 -0.0838828111
## [1674,]  1.205367434  1.2077188713
## [1675,]  0.565519216  0.5635008753
## [1676,]  2.856710355  2.8703394685
## [1677,]  1.851818509  1.8585848172
## [1678,]  2.060594537  2.0687866597
## [1679,]  0.488485892  0.4859414606
## [1680,]  0.906839724  0.9071523965
## [1681,]  1.180213696  1.1823933482
## [1682,]  0.284111768  0.2801715847
## [1683,]  2.054306102  2.0624552789
## [1684,]  0.136333556  0.1313841360
## [1685,]  0.787186535  0.7866820484
## [1686,]  2.104299157  2.1127897562
## [1687,]  1.078655477  1.0801415483
## [1688,]  0.449183176  0.4463703306
## [1689,]  2.725596494  2.7383301789
## [1690,]  0.546653912  0.5445067329
## [1691,]  1.543370793  1.5480305892
## [1692,] -0.063324242 -0.0696372043
## [1693,]  0.551370238  0.5492552685
## [1694,]  0.873652510  0.8737385343
## [1695,]  0.496346435  0.4938556866
## [1696,]  0.661417843  0.6600544325
## [1697,]  0.221227423  0.2168577767
## [1698,]  0.174064163  0.1693724207
## [1699,]  1.530793924  1.5353678276
## [1700,] -0.077473220 -0.0838828111
## [1701,]  0.787186535  0.7866820484
## [1702,]  0.158343077  0.1535439688
## [1703,]  0.859503532  0.8594929275
## [1704,]  2.024436038  2.0323812201
## [1705,]  0.147338316  0.1424640524
## [1706,]  0.472764806  0.4701130086
## [1707,]  1.384587820  1.3881632240
## [1708,]  0.409880460  0.4067992006
## [1709,]  1.258819128  1.2615356081
## [1710,]  0.394159374  0.3909707486
## [1711,]  1.620246906  1.6254317194
## [1712,]  0.192457834  0.1878917096
## [1713,]  0.519928065  0.5175983645
## [1714,]  1.620404116  1.6255900039
## [1715,]  0.347624958  0.3441185307
## [1716,]  2.520750737  2.5320854494
## [1717,]  1.401566593  1.4052579522
## [1718,]  1.620404116  1.6255900039
## [1719,]  0.347624958  0.3441185307
## [1720,]  1.188074239  1.1903075742
## [1721,]  1.225018792  1.2275044363
## [1722,]  0.480625349  0.4780272346
## [1723,]  0.771465448  0.7708535964
## [1724,]  0.142621990  0.1377155168
## [1725,]  3.145349502  3.1609498470
## [1726,]  1.416029993  1.4198201280
## [1727,]  0.158343077  0.1535439688
## [1728,] -0.077473220 -0.0838828111
## [1729,]  0.378438287  0.3751422966
## [1730,]  1.970984344  1.9785644833
## [1731,]  0.527788608  0.5255125905
## [1732,]  1.573240857  1.5781046479
## [1733,]  1.180213696  1.1823933482
## [1734,]  0.383940667  0.3806822548
## [1735,]  2.108543851  2.1170634382
## [1736,]  0.689715799  0.6885456460
## [1737,]  2.359295180  2.3695272475
## [1738,]  0.787186535  0.7866820484
## [1739,]  1.305809456  1.3088468511
## [1740,]  0.857931424  0.8579100823
## [1741,] -0.044458938 -0.0506430619
## [1742,]  0.857931424  0.8579100823
## [1743,]  0.290400203  0.2865029655
## [1744,]  0.873652510  0.8737385343
## [1745,] -0.044458938 -0.0506430619
## [1746,]  1.533938141  1.5385335180
## [1747,]  0.350140331  0.3466510830
## [1748,]  0.661417843  0.6600544325
## [1749,]  0.290400203  0.2865029655
## [1750,]  0.009778810  0.0039650974
## [1751,]  0.472764806  0.4701130086
## [1752,]  0.189785250  0.1852008727
## [1753,]  1.205367434  1.2077188713
## [1754,] -0.044458938 -0.0506430619
## [1755,]  0.394159374  0.3909707486
## [1756,] -0.044458938 -0.0506430619
## [1757,]  0.290400203  0.2865029655
## [1758,]  0.768321231  0.7676879060
## [1759,]  0.010564864  0.0047565200
## [1760,]  0.519928065  0.5175983645
## [1761,]  0.276251225  0.2722573587
## [1762,]  0.394159374  0.3909707486
## [1763,]  1.400308906  1.4039916760
## [1764,] -0.014588874 -0.0205690031
## [1765,]  0.551370238  0.5492552685
## [1766,]  0.831205577  0.8310017140
## [1767,]  0.496346435  0.4938556866
## [1768,]  0.567091324  0.5650837205
## [1769,]  0.551370238  0.5492552685
## [1770,]  0.724302189  0.7233682404
## [1771,]  0.865791967  0.8658243083
## [1772,]  0.001132212 -0.0047405512
## [1773,]  1.205367434  1.2077188713
## [1774,]  1.180213696  1.1823933482
## [1775,]  0.101747166  0.0965615416
## [1776,]  1.136194654  1.1380736826
## [1777,]  0.472764806  0.4701130086
## [1778,]  0.236948509  0.2326862287
## [1779,]  1.526077598  1.5306192920
## [1780,] -0.077473220 -0.0838828111
## [1781,]  0.857931424  0.8579100823
## [1782,]  2.316848246  2.3267904271
## [1783,]  0.758888579  0.7581908348
## [1784,]  0.350140331  0.3466510830
## [1785,]  0.857931424  0.8579100823
## [1786,]  1.478914338  1.4831339360
## [1787,]  0.111179817  0.1060586128
## [1788,]  0.119826415  0.1147642614
## [1789,]  0.158343077  0.1535439688
## [1790,]  2.060594537  2.0687866597
## [1791,]  0.488485892  0.4859414606
## [1792,]  2.054306102  2.0624552789
## [1793,]  0.136333556  0.1313841360
## [1794,]  2.599827802  2.6117025629
## [1795,]  0.947541616  0.9481322587
## [1796,]  0.425601546  0.4226276526
## [1797,]  0.551370238  0.5492552685
## [1798,]  1.573240857  1.5781046479
## [1799,]  0.158343077  0.1535439688
## [1800,]  0.523072282  0.5207640549
## [1801,]  0.551370238  0.5492552685
## [1802,] -0.077473220 -0.0838828111
## [1803,]  0.001132212 -0.0047405512
## [1804,]  0.315553941  0.3118284887
## [1805,]  0.332061082  0.3284483633
## [1806,]  0.582812411  0.5809121725
## [1807,]  0.425601546  0.4226276526
## [1808,]  0.787186535  0.7866820484
## [1809,]  0.158343077  0.1535439688
## [1810,]  1.436467405  1.4403971156
## [1811,]  0.551370238  0.5492552685
## [1812,]  0.032574385  0.0269163528
## [1813,]  2.170642142  2.1795858236
## [1814,]  0.158343077  0.1535439688
## [1815,]  0.626045399  0.6244404155
## [1816,] -0.077473220 -0.0838828111
## [1817,]  1.188074239  1.1903075742
## [1818,]  3.289511865  3.3060967518
## [1819,]  2.520750737  2.5320854494
## [1820,]  1.604683030  1.6097615519
## [1821,]  1.533938141  1.5385335180
## [1822,]  0.350140331  0.3466510830
## [1823,] -0.061752133 -0.0680543591
## [1824,]  0.857931424  0.8579100823
## [1825,]  1.934825845  1.9421590437
## [1826,]  0.260530139  0.2564289067
## [1827,]  0.472764806  0.4701130086
## [1828,]  0.001132212 -0.0047405512
## [1829,]  0.378438287  0.3751422966
## [1830,]  0.988416441  0.9892862339
## [1831,]  1.533938141  1.5385335180
## [1832,]  0.350140331  0.3466510830
## [1833,]  0.626045399  0.6244404155
## [1834,]  0.629975670  0.6283975285
## [1835,]  1.240425457  1.2430163193
## [1836,] -0.021034520 -0.0270586685
## [1837,]  0.480845444  0.4782488329
## [1838,]  1.101608264  1.1032510882
## [1839,]  0.315553941  0.3118284887
## [1840,]  0.299832855  0.2960000367
## [1841,]  0.480845444  0.4782488329
## [1842,]  1.530793924  1.5353678276
## [1843,]  0.873652510  0.8737385343
## [1844,]  0.158343077  0.1535439688
## [1845,] -0.077473220 -0.0838828111
## [1846,]  1.384587820  1.3881632240
## [1847,]  0.095458731  0.0902301608
## [1848,]  0.857931424  0.8579100823
## [1849,]  0.857931424  0.8579100823
## [1850,]  0.158343077  0.1535439688
## [1851,]  1.636125203  1.6414184559
## [1852,]  0.787186535  0.7866820484
## [1853,]  1.227376955  1.2298787041
## [1854,]  1.310698713  1.3137694997
## [1855,]  0.087598188  0.0823159348
## [1856,]  0.629975670  0.6283975285
## [1857,]  0.771465448  0.7708535964
## [1858,]  0.189785250  0.1852008727
## [1859,]  0.912955226  0.9133096643
## [1860,]  1.416029993  1.4198201280
## [1861,]  1.392919996  1.3965523036
## [1862,]  0.079737645  0.0744017088
## [1863,]  0.299832855  0.2960000367
## [1864,]  0.629975670  0.6283975285
## [1865,]  0.001132212 -0.0047405512
## [1866,]  0.075021319  0.0696531732
## [1867,]  1.305353544  1.3083878260
## [1868,]  0.258958030  0.2548460615
## [1869,]  0.095458731  0.0902301608
## [1870,]  0.677138930  0.6758828845
## [1871,]  0.629975670  0.6283975285
## [1872,]  0.873416694  0.8735011076
## [1873,]  0.104262539  0.0990940939
## [1874,]  1.258819128  1.2615356081
## [1875,]  0.394159374  0.3909707486
## [1876,]  0.953830051  0.9544636395
## [1877,]  1.809057154  1.8155314278
## [1878,]  0.048295472  0.0427448048
## [1879,]  1.730451722  1.7363891678
## [1880,]  0.315553941  0.3118284887
## [1881,]  0.119826415  0.1147642614
## [1882,]  1.180213696  1.1823933482
## [1883,]  0.101747166  0.0965615416
## [1884,]  0.001132212 -0.0047405512
## [1885,]  1.180213696  1.1823933482
## [1886,]  0.101747166  0.0965615416
## [1887,] -0.091622198 -0.0981284179
## [1888,]  0.565519216  0.5635008753
## [1889,]  0.425601546  0.4226276526
## [1890,] -0.077473220 -0.0838828111
## [1891,]  0.686571581  0.6853799556
## [1892,]  0.221227423  0.2168577767
## [1893,]  0.629975670  0.6283975285
## [1894,]  2.725596494  2.7383301789
## [1895,]  0.546653912  0.5445067329
## [1896,]  0.472764806  0.4701130086
## [1897,]  0.001132212 -0.0047405512
## [1898,]  1.447472166  1.4514770320
## [1899,]  1.711586418  1.7173950255
## [1900,]  0.774609666  0.7740192868
## [1901,]  0.802907621  0.8025105004
## [1902,]  0.944397399  0.9449665683
## [1903,]  0.236948509  0.2326862287
## [1904,]  0.565519216  0.5635008753
## [1905,]  0.315553941  0.3118284887
## [1906,]  0.920815770  0.9212238903
## [1907,]  0.236948509  0.2326862287
## [1908,]  0.299832855  0.2960000367
## [1909,]  0.565519216  0.5635008753
## [1910,]  1.180213696  1.1823933482
## [1911,]  0.101747166  0.0965615416
## [1912,]  2.500784958  2.5119833154
## [1913,]  1.180213696  1.1823933482
## [1914,]  0.101747166  0.0965615416
## [1915,]  0.857931424  0.8579100823
## [1916,]  0.565519216  0.5635008753
## [1917,]  2.725596494  2.7383301789
## [1918,]  0.546653912  0.5445067329
## [1919,]  1.533938141  1.5385335180
## [1920,]  0.350140331  0.3466510830
## [1921,]  0.857931424  0.8579100823
## [1922,]  0.480845444  0.4782488329
## [1923,] -0.077473220 -0.0838828111
## [1924,]  0.480845444  0.4782488329
## [1925,]  0.686571581  0.6853799556
## [1926,]  1.023002831  1.0241088283
## [1927,]  0.001132212 -0.0047405512
## [1928,]  1.533938141  1.5385335180
## [1929,]  0.350140331  0.3466510830
## [1930,]  0.857931424  0.8579100823
## [1931,]  0.299832855  0.2960000367
## [1932,]  0.857931424  0.8579100823
## [1933,]  1.384587820  1.3881632240
## [1934,]  0.362717201  0.3593138446
## [1935,]  1.180213696  1.1823933482
## [1936,]  0.101747166  0.0965615416
## [1937,]  0.857931424  0.8579100823
## [1938,]  1.180213696  1.1823933482
## [1939,]  0.101747166  0.0965615416
## [1940,]  0.565519216  0.5635008753
## [1941,]  0.878133020  0.8782496432
## [1942,]  2.351434636  2.3616130215
## [1943,]  1.496207534  1.5005452332
## [1944,]  0.057728124  0.0522418760
## [1945,]  2.202084315  2.2112427276
## [1946,]  1.195934782  1.1982218002
## [1947,]  1.136194654  1.1380736826
## [1948,]  0.174064163  0.1693724207
## [1949,]  0.016853299  0.0110879008
## [1950,]  1.015142288  1.0161946023
## [1951,]  0.001132212 -0.0047405512
## [1952,]  0.001132212 -0.0047405512
## [1953,]  2.018147604  2.0260498393
## [1954,]  0.876796727  0.8769042247
## [1955,]  0.565519216  0.5635008753
## [1956,]  0.273264219  0.2692499528
## [1957,]  1.730451722  1.7363891678
## [1958,]  0.189785250  0.1852008727
## [1959,]  1.188074239  1.1903075742
## [1960,]  1.180213696  1.1823933482
## [1961,]  0.101747166  0.0965615416
## [1962,]  0.425601546  0.4226276526
## [1963,]  0.692860016  0.6917113364
## [1964,]  0.174064163  0.1693724207
## [1965,]  0.550584184  0.5484638459
## [1966,]  0.449183176  0.4463703306
## [1967,]  0.614254584  0.6125690765
## [1968,]  0.144036888  0.1391400774
## [1969,] -0.013394072 -0.0193660408
## [1970,]  0.661417843  0.6600544325
## [1971,]  0.221227423  0.2168577767
## [1972,]  0.394159374  0.3909707486
## [1973,]  0.702214062  0.7011292654
## [1974,]  0.126900904  0.1218870648
## [1975,]  1.423890536  1.4277343540
## [1976,]  0.988416441  0.9892862339
## [1977,]  1.689576897  1.6952351927
## [1978,]  0.684999473  0.6837971104
## [1979,]  2.437900612  2.4486695074
## [1980,]  1.494635425  1.4989623880
## [1981,]  0.873416694  0.8735011076
## [1982,]  0.104262539  0.0990940939
## [1983,]  0.284111768  0.2801715847
## [1984,]  1.730451722  1.7363891678
## [1985,]  0.394159374  0.3909707486
## [1986,]  0.975839572  0.9766234723
## [1987,]  0.425601546  0.4226276526
## [1988,]  0.221227423  0.2168577767
## [1989,]  0.565519216  0.5635008753
## [1990,]  1.543370793  1.5480305892
## [1991,] -0.063324242 -0.0696372043
## [1992,] -0.030309961 -0.0363974551
## [1993,]  1.543370793  1.5480305892
## [1994,] -0.063324242 -0.0696372043
## [1995,]  0.079737645  0.0744017088
## [1996,]  1.070166091  1.0715941842
## [1997,]  1.343712995  1.3470092489
## [1998,]  0.038469793  0.0328520223
## [1999,]  1.941114280  1.9484904245
## [2000,]  0.507351196  0.5049356030
## [2001,]  0.158343077  0.1535439688
## [2002,]  2.123478883  2.1321004676
## [2003,]  0.064016558  0.0585732568
## [2004,]  1.101608264  1.1032510882
## [2005,]  0.315553941  0.3118284887
## [2006,]  0.386298830  0.3830565226
## [2007,]  1.180213696  1.1823933482
## [2008,]  0.787186535  0.7866820484
## [2009,]  0.472764806  0.4701130086
## [2010,]  1.573240857  1.5781046479
## [2011,]  1.966268018  1.9738159477
## [2012,]  0.787186535  0.7866820484
## [2013,]  1.966268018  1.9738159477
## [2014,]  0.787186535  0.7866820484
## [2015,]  1.711586418  1.7173950255
## [2016,]  0.774609666  0.7740192868
## [2017,]  0.425601546  0.4226276526
## [2018,]  1.282400758  1.2852782861
## [2019,]  2.351434636  2.3616130215
## [2020,]  1.566952423  1.5717732671
## [2021,]  0.551370238  0.5492552685
## [2022,]  0.686571581  0.6853799556
## [2023,]  1.423890536  1.4277343540
## [2024,]  2.312131920  2.3220418915
## [2025,]  1.842071435  1.8487711770
## [2026,]  0.271534899  0.2675088231
## [2027,]  0.818628708  0.8183389524
## [2028,]  0.383940667  0.3806822548
## [2029,]  1.711586418  1.7173950255
## [2030,]  0.774609666  0.7740192868
## [2031,]  0.606394041  0.6046548505
## [2032,]  0.015768544  0.0099957376
## [2033,] -0.104985121 -0.1115826021
## [2034,]  2.830927773  2.8443808072
## [2035,]  0.850070881  0.8499958564
## [2036,]  1.533938141  1.5385335180
## [2037,]  0.350140331  0.3466510830
## [2038,]  0.787186535  0.7866820484
## [2039,]  0.158343077  0.1535439688
## [2040,]  0.875224619  0.8753213795
## [2041,]  2.736601254  2.7494100953
## [2042,]  0.142621990  0.1377155168
## [2043,]  1.274540215  1.2773640601
## [2044,]  0.115110089  0.1100157258
## [2045,]  1.416029993  1.4198201280
## [2046,]  0.115110089  0.1100157258
## [2047,]  1.290261301  1.2931925121
## [2048,] -0.077473220 -0.0838828111
## [2049,]  2.002426517  2.0102213873
## [2050,]  0.996276984  0.9972004599
## [2051,]  0.472764806  0.4701130086
## [2052,]  0.928676313  0.9291381163
## [2053,]  1.730451722  1.7363891678
## [2054,]  0.928676313  0.9291381163
## [2055,]  0.539579423  0.5373839295
## [2056,]  0.276251225  0.2722573587
## [2057,]  1.258819128  1.2615356081
## [2058,]  0.394159374  0.3909707486
## [2059,]  0.070933836  0.0655377757
## [2060,]  1.205367434  1.2077188713
## [2061,]  0.299832855  0.2960000367
## [2062,]  0.332061082  0.3284483633
## [2063,]  1.188074239  1.1903075742
## [2064,]  1.205367434  1.2077188713
## [2065,]  0.189785250  0.1852008727
## [2066,]  0.001132212 -0.0047405512
## [2067,]  1.620404116  1.6255900039
## [2068,]  0.101747166  0.0965615416
## [2069,]  2.359295180  2.3695272475
## [2070,]  1.337424560  1.3406778681
## [2071,]  1.150343632  1.1523192894
## [2072,]  0.359572983  0.3561481542
## [2073,]  0.472764806  0.4701130086
## [2074,]  0.038469793  0.0328520223
## [2075,]  0.519928065  0.5175983645
## [2076,]  0.565519216  0.5635008753
## [2077,]  1.710800364  1.7166036029
## [2078,]  0.354856657  0.3513996186
## [2079,]  1.636125203  1.6414184559
## [2080,]  0.787186535  0.7866820484
## [2081,]  0.057728124  0.0522418760
## [2082,]  1.258819128  1.2615356081
## [2083,]  0.724302189  0.7233682404
## [2084,]  0.565519216  0.5635008753
## [2085,]  1.101608264  1.1032510882
## [2086,]  0.001132212 -0.0047405512
## [2087,]  1.205367434  1.2077188713
## [2088,]  1.543370793  1.5480305892
## [2089,] -0.063324242 -0.0696372043
## [2090,]  0.079737645  0.0744017088
## [2091,]  2.162781599  2.1716715976
## [2092,]  0.905094683  0.9053954383
## [2093,]  1.543370793  1.5480305892
## [2094,] -0.063324242 -0.0696372043
## [2095,]  1.423890536  1.4277343540
## [2096,]  0.661417843  0.6600544325
## [2097,]  0.221227423  0.2168577767
## [2098,]  1.879802043  1.8867594618
## [2099,]  0.262102247  0.2580117519
## [2100,]  0.158343077  0.1535439688
## [2101,]  0.472764806  0.4701130086
## [2102,]  0.576523976  0.5745807917
## [2103,]  0.158343077  0.1535439688
## [2104,]  0.787186535  0.7866820484
## [2105,]  2.044873451  2.0529582077
## [2106,]  0.787186535  0.7866820484
## [2107,]  1.730451722  1.7363891678
## [2108,]  3.678451543  3.6976926540
## [2109,]  2.608474400  2.6204082115
## [2110,]  1.337424560  1.3406778681
## [2111,]  0.850070881  0.8499958564
## [2112,]  1.636125203  1.6414184559
## [2113,]  0.787186535  0.7866820484
## [2114,]  0.755744362  0.7550251444
## [2115,]  0.935750802  0.9362609197
## [2116,]  0.277194490  0.2732070658
## [2117,]  0.551370238  0.5492552685
## [2118,]  0.221227423  0.2168577767
## [2119,]  1.384587820  1.3881632240
## [2120,] -0.006728331 -0.0126547771
## [2121,]  1.699009549  1.7047322639
## [2122,]  0.818628708  0.8183389524
## [2123,]  0.576523976  0.5745807917
## [2124,]  1.101608264  1.1032510882
## [2125,]  0.158343077  0.1535439688
## [2126,]  1.136194654  1.1380736826
## [2127,]  1.227376955  1.2298787041
## [2128,]  0.394159374  0.3909707486
## [2129,] -0.077473220 -0.0838828111
## [2130,]  0.708581102  0.7075397884
## [2131,]  0.472764806  0.4701130086
## [2132,]  0.236948509  0.2326862287
## [2133,]  1.101608264  1.1032510882
## [2134,]  0.629975670  0.6283975285
## [2135,]  0.276251225  0.2722573587
## [2136,] -0.061752133 -0.0680543591
## [2137,]  2.024436038  2.0323812201
## [2138,]  0.147338316  0.1424640524
## [2139,]  1.205367434  1.2077188713
## [2140,]  2.725596494  2.7383301789
## [2141,]  0.546653912  0.5445067329
## [2142,]  0.315553941  0.3118284887
## [2143,]  0.258392071  0.2542762372
## [2144,] -0.077473220 -0.0838828111
## [2145,]  0.550584184  0.5484638459
## [2146,]  0.158343077  0.1535439688
## [2147,]  0.284111768  0.2801715847
## [2148,]  1.573240857  1.5781046479
## [2149,] -0.077473220 -0.0838828111
## [2150,]  1.133050437  1.1349079922
## [2151,]  0.260530139  0.2564289067
## [2152,]  0.875224619  0.8753213795
## [2153,]  0.963262703  0.9639607107
## [2154,]  0.409880460  0.4067992006
## [2155,]  1.258819128  1.2615356081
## [2156,]  0.787186535  0.7866820484
## [2157,]  0.472764806  0.4701130086
## [2158,]  0.079737645  0.0744017088
## [2159,]  0.787186535  0.7866820484
## [2160,]  0.122970632  0.1179299518
## [2161,]  0.409880460  0.4067992006
## [2162,]  0.629975670  0.6283975285
## [2163,]  0.128158591  0.1231533409
## [2164,]  0.504206979  0.5017699126
## [2165,]  0.001132212 -0.0047405512
## [2166,]  0.335205299  0.3316140537
## [2167,]  1.604683030  1.6097615519
## [2168,]  1.274540215  1.2773640601
## [2169,]  0.799763404  0.7993448100
## [2170,]  1.585817726  1.5907674095
## [2171,]  0.271534899  0.2675088231
## [2172,]  1.585817726  1.5907674095
## [2173,]  0.271534899  0.2675088231
## [2174,]  0.144194099  0.1392983620
## [2175,]  0.236948509  0.2326862287
## [2176,] -0.013111092 -0.0190811287
## [2177,]  2.202084315  2.2112427276
## [2178,]  1.533938141  1.5385335180
## [2179,]  0.350140331  0.3466510830
## [2180,]  0.394159374  0.3909707486
## [2181,]  1.180213696  1.1823933482
## [2182,]  0.101747166  0.0965615416
## [2183,]  1.730451722  1.7363891678
## [2184,]  0.197645793  0.1931150987
## [2185,] -0.077473220 -0.0838828111
## [2186,]  0.875224619  0.8753213795
## [2187,]  0.607966149  0.6062376957
## [2188,]  1.090603503  1.0921711718
## [2189,]  1.293405518  1.2963582025
## [2190,]  0.614254584  0.8509455635
## [2191,]  0.769893340  0.7692707512
## [2192,]  0.524801602  0.5225051847
## [2193,]  0.857931424  0.8579100823
## [2194,]  3.805635133  3.8257448306
## [2195,]  1.164492609  1.1665648962
## [2196,]  1.305982388  1.3090209641
## [2197,]  0.773006115  0.7724047847
## [2198,]  0.346996114  0.3434853926
## [2199,]  1.101608264  1.1032510882
## [2200,]  0.001132212 -0.0047405512
## [2201,]  0.787186535  0.7866820484
## [2202,]  0.001132212 -0.0047405512
## [2203,]  0.920029715  0.9204324677
## [2204,]  0.026285951  0.0205849720
## [2205,]  0.920029715  0.9204324677
## [2206,]  0.026285951  0.0205849720
## [2207,]  1.431122236  1.4350154419
## [2208,]  0.799763404  0.7993448100
## [2209,]  0.661417843  0.6600544325
## [2210,]  0.221227423  0.2168577767
## [2211,]  1.573240857  1.5781046479
## [2212,]  0.409880460  0.4067992006
## [2213,]  1.573240857  1.5781046479
## [2214,]  0.315553941  0.3118284887
## [2215,]  1.573240857  1.5781046479
## [2216,]  0.787186535  0.7866820484
## [2217,]  1.258819128  1.2615356081
## [2218,]  0.394159374  0.3909707486
## [2219,]  0.787186535  1.0389242593
## [2220,]  0.276251225  0.2722573587
## [2221,]  2.830927773  2.8443808072
## [2222,]  0.850070881  0.8499958564
## [2223,]  1.205367434  1.2077188713
## [2224,]  3.289511865  3.3060967518
## [2225,]  2.520750737  2.5320854494
## [2226,]  3.289511865  3.3060967518
## [2227,]  2.288393080  2.2981409290
## [2228,]  0.450126441  0.4473200377
## [2229,] -0.017733091 -0.0237346935
## [2230,]  2.024436038  2.0323812201
## [2231,]  0.147338316  0.1424640524
## [2232,]  2.856710355  2.8703394685
## [2233,]  2.104299157  2.1127897562
## [2234,]  0.283388598  0.2794434759
## [2235,]  0.001132212 -0.0047405512
## [2236,]  2.856710355  2.8703394685
## [2237,]  1.851818509  1.8585848172
## [2238,]  0.551370238  0.5492552685
## [2239,]  2.856710355  2.8703394685
## [2240,]  2.104299157  2.1127897562
## [2241,]  0.615983903  0.6143102062
## [2242,]  0.771465448  0.7708535964
## [2243,] -0.077473220 -0.0838828111
## [2244,]  0.771465448  0.7708535964
## [2245,]  1.258819128  1.2615356081
## [2246,]  0.315553941  0.3118284887
## [2247,]  2.856710355  2.8703394685
## [2248,]  2.104299157  2.1127897562
## [2249,]  2.725596494  2.7383301789
## [2250,]  0.546653912  0.5445067329
## [2251,]  0.818628708  0.8183389524
## [2252,]  1.337424560  1.3406778681
## [2253,]  0.787186535  0.7866820484
## [2254,]  3.289511865  3.3060967518
## [2255,]  2.288393080  2.2981409290
## [2256,]  2.610832563  2.6227824793
## [2257,]  0.818628708  0.8183389524
## [2258,]  0.450126441  0.4473200377
## [2259,] -0.017733091 -0.0237346935
## [2260,]  0.315553941  0.3118284887
## [2261,]  0.787186535  0.7866820484
## [2262,]  1.205367434  1.2077188713
## [2263,]  0.260530139  0.2564289067
## [2264,]  1.533938141  1.5385335180
## [2265,]  0.350140331  0.3466510830
## [2266,]  3.391070083  3.4083485516
## [2267,]  2.608474400  2.6204082115
## [2268,]  0.551370238  0.5492552685
## [2269,]  1.730451722  1.7363891678
## [2270,]  2.162781599  2.1716715976
## [2271,]  0.905094683  0.9053954383
## [2272,]  1.243098042  1.2457071561
## [2273,]  0.551370238  0.5492552685
## [2274,]  0.472764806  0.4701130086
## [2275,]  0.001132212 -0.0047405512
## [2276,] -0.077473220 -0.0838828111
## [2277,]  0.666134169  0.6648029681
## [2278,]  0.060872341  0.0554075664
## [2279,]  1.136194654  1.1380736826
## [2280,]  0.001132212 -0.0047405512
## [2281,]  0.079737645  0.0744017088
## [2282,]  1.136194654  1.1380736826
## [2283,]  0.857931424  0.8579100823
## [2284,]  2.507073392  2.5183146962
## [2285,]  0.144194099  0.1392983620
## [2286,]  1.343712995  1.3470092489
## [2287,]  0.159600764  0.1548102449
## [2288,] -0.058765127 -0.0650469532
## [2289,]  0.629975670  0.6283975285
## [2290,]  0.394159374  0.3909707486
## [2291,]  2.351434636  2.3616130215
## [2292,]  1.496207534  1.5005452332
## [2293,]  1.240834205  1.2434278590
## [2294,] -0.084704920 -0.0911638990
## [2295,]  0.944397399  0.9449665683
## [2296,]  0.029430168  0.0237506624
## [2297,]  2.856710355  2.8703394685
## [2298,]  1.851818509  1.8585848172
## [2299,]  0.001132212 -0.0047405512
## [2300,]  0.276251225  0.2722573587
## [2301,]  2.359295180  2.3695272475
## [2302,]  0.787186535  0.7866820484
## [2303,]  2.725596494  2.7383301789
## [2304,]  0.546653912  0.5445067329
## [2305,]  0.868150130  0.8681985761
## [2306,]  0.281753605  0.2777973169
## [2307,]  1.842071435  1.8487711770
## [2308,]  0.271534899  0.2675088231
## [2309,]  1.533938141  1.5385335180
## [2310,]  0.350140331  0.3466510830
## [2311,]  1.620404116  1.6255900039
## [2312,]  0.101747166  0.0965615416
## [2313,]  1.136194654  1.1380736826
## [2314,]  2.024436038  2.0323812201
## [2315,]  0.147338316  0.1424640524
## [2316,]  1.144841251  1.1467793312
## [2317,]  0.508137250  0.5057270256
## [2318,]  1.023002831  1.0241088283
## [2319,]  0.551370238  0.5492552685
## [2320,]  2.302699268  2.3125448203
## [2321,] -0.020971635 -0.0269953547
## [2322,]  0.881513053  0.8816527603
## [2323,]  1.643985746  1.6493326819
## [2324,]  0.755744362  0.7550251444
## [2325,] -0.077473220 -0.0838828111
## [2326,]  1.329328201  1.3325262153
## [2327,]  2.302699268  2.3125448203
## [2328,] -0.020971635 -0.0269953547
## [2329,]  1.136194654  1.1380736826
## [2330,]  0.787186535  0.7866820484
## [2331,]  0.001132212 -0.0047405512
## [2332,]  1.699009549  1.7047322639
## [2333,]  0.629975670  0.6283975285
## [2334,]  0.538541831  0.5363392517
## [2335,]  0.275323681  0.2713234800
## [2336,]  0.857931424  0.8579100823
## [2337,]  0.824917142  0.8246703332
## [2338,] -0.042886830 -0.0490602167
## [2339,]  0.276251225  0.2722573587
## [2340,]  1.879802043  1.8867594618
## [2341,]  0.262102247  0.2580117519
## [2342,]  2.830927773  2.8443808072
## [2343,]  0.850070881  0.8499958564
## [2344,]  1.604683030  1.6097615519
## [2345,]  0.472764806  0.4701130086
## [2346,]  0.236948509  0.2326862287
## [2347,]  0.661417843  0.6600544325
## [2348,]  0.645696757  0.6442259805
## [2349,] -0.061752133 -0.0680543591
## [2350,]  0.079737645  0.0744017088
## [2351,] -0.470500381 -0.0419690702
## [2352,]  0.988416441  0.9892862339
## [2353,] -0.080617437 -0.0870485015
## [2354,]  1.573240857  1.5781046479
## [2355,]  0.935750802  0.9362609197
## [2356,]  0.277194490  0.2732070658
## [2357,]  0.361145092  0.3577309994
## [2358,] -0.091622198 -0.0981284179
## [2359,]  1.258819128  1.2615356081
## [2360,]  0.394159374  0.3909707486
## [2361,]  0.158343077  0.1535439688
## [2362,]  0.001132212 -0.0047405512
## [2363,]  2.520750737  2.5320854494
## [2364,]  1.627164184  1.6323962383
## [2365,]  0.831205577  0.8310017140
## [2366,]  2.092036710  2.1004435636
## [2367,]  0.535649152  0.5334268165
## [2368,]  0.260530139  0.2564289067
## [2369,]  1.101608264  1.1032510882
## [2370,]  0.551370238  0.5492552685
## [2371,]  1.730451722  1.7363891678
## [2372,]  1.180213696  1.1823933482
## [2373,]  1.518217055  1.5227050660
## [2374,]  2.856710355  2.8703394685
## [2375,]  2.104299157  2.1127897562
## [2376,]  2.856710355  2.8703394685
## [2377,]  2.104299157  2.1127897562
## [2378,]  0.378438287  0.3751422966
## [2379,]  3.289511865  3.3060967518
## [2380,]  2.520750737  2.5320854494
## [2381,]  2.856710355  2.8703394685
## [2382,]  2.104299157  2.1127897562
## [2383,]  3.289511865  3.3060967518
## [2384,]  2.288393080  2.2981409290
## [2385,]  0.615983903  0.6143102062
## [2386,]  2.830927773  2.8443808072
## [2387,]  1.258819128  1.2615356081
## [2388,]  1.636125203  1.6414184559
## [2389,]  0.787186535  0.7866820484
## [2390,]  2.507073392  2.5183146962
## [2391,]  0.144194099  0.1392983620
## [2392,]  2.856710355  2.8703394685
## [2393,]  1.851818509  1.8585848172
## [2394,]  2.104299157  2.1127897562
## [2395,]  1.078655477  1.0801415483
## [2396,]  0.268390682  0.2643431327
## [2397,]  0.912955226  0.9133096643
## [2398,]  0.677138930  0.6758828845
## [2399,]  3.289511865  3.3060967518
## [2400,]  2.288393080  2.2981409290
## [2401,]  1.038723918  1.0399372802
## [2402,]  0.535649152  0.5334268165
## [2403,]  0.787186535  0.7866820484
## [2404,] -0.077473220 -0.0838828111
## [2405,]  1.573240857  1.5781046479
## [2406,]  0.262102247  0.2580117519
## [2407,]  2.107757796  2.1162720156
## [2408,]  1.211655869  1.2140502521
## [2409,]  0.865791967  0.8658243083
## [2410,]  0.158343077  0.1535439688
## [2411,]  0.651985191  0.6505573613
## [2412,]  1.136194654  1.1380736826
## [2413,]  0.651985191  0.6505573613
## [2414,]  1.258819128  1.2615356081
## [2415,]  0.394159374  0.3909707486
## [2416,]  1.699009549  1.7047322639
## [2417,]  0.331275028  0.3276569407
## [2418,]  0.857931424  0.8579100823
## [2419,]  2.359295180  2.3695272475
## [2420,]  1.305353544  1.3083878260
## [2421,]  0.030059011  0.0243838005
## [2422,]  0.207895941  0.2034352494
## [2423,]  3.459771231  3.4775188868
## [2424,]  1.494635425  1.4989623880
## [2425,]  2.123478883  2.1321004676
## [2426,]  0.691287907  0.6901284912
## [2427,]  1.416029993  1.4198201280
## [2428,]  0.208650553  0.2041950151
## [2429,]  1.133050437  1.1349079922
## [2430,]  0.260530139  0.2564289067
## [2431,]  1.416029993  1.4198201280
## [2432,]  0.208650553  0.2041950151
## [2433,]  3.066744070  3.0818075871
## [2434,]  1.332708234  1.3359293325
## [2435,]  1.205367434  1.2077188713
## [2436,]  1.431751079  1.4356485800
## [2437,]  0.079737645  0.0744017088
## [2438,]  0.944397399  0.9449665683
## [2439,]  0.158343077  0.1535439688
## [2440,]  1.122045676  1.1238280758
## [2441,] -0.038170504 -0.0443116811
## [2442,]  0.857931424  0.8579100823
## [2443,]  0.944397399  0.9449665683
## [2444,]  0.158343077  0.1535439688
## [2445,]  0.857931424  0.8579100823
## [2446,]  0.576523976  0.5745807917
## [2447,]  0.661417843  0.6600544325
## [2448,]  0.016853299  0.0110879008
## [2449,]  0.551370238  0.5492552685
## [2450,]  0.299832855  0.2960000367
## [2451,]  0.857931424  0.8579100823
## [2452,]  1.573240857  1.5781046479
## [2453,]  0.944397399  0.9449665683
## [2454,]  0.315553941  0.3118284887
## [2455,]  1.122045676  1.1238280758
## [2456,] -0.038170504 -0.0443116811
## [2457,]  0.626045399  0.6244404155
## [2458,]  2.351434636  2.3616130215
## [2459,]  1.496207534  1.5005452332
## [2460,]  3.459771231  3.4775188868
## [2461,]  0.787186535  0.7866820484
## [2462,]  0.472764806  0.4701130086
## [2463,]  0.944397399  0.9449665683
## [2464,]  0.144036888  0.1391400774
## [2465,]  0.944397399  0.9449665683
## [2466,]  0.394159374  0.3909707486
## [2467,]  0.001132212 -0.0047405512
## [2468,]  0.629975670  0.6283975285
## [2469,]  0.276251225  0.2722573587
## [2470,]  0.831205577  0.8310017140
## [2471,]  0.565519216  0.5635008753
## [2472,]  0.001132212 -0.0047405512
## [2473,]  1.258819128  1.2615356081
## [2474,]  0.394159374  0.3909707486
## [2475,]  0.787186535  0.7866820484
## [2476,]  0.315553941  0.3118284887
## [2477,]  0.394159374  0.3909707486
## [2478,]  0.158343077  0.1535439688
## [2479,]  1.651846289  1.6572469079
## [2480,]  0.158343077  0.1535439688
## [2481,]  0.142621990  0.1377155168
## [2482,]  2.507073392  2.5183146962
## [2483,]  0.144194099  0.1392983620
## [2484,]  0.079737645  0.0744017088
## [2485,]  3.522655577  3.5408326948
## [2486,]  0.747883819  0.7471109184
## [2487,]  1.730451722  1.7363891678
## [2488,]  1.416029993  1.4198201280
## [2489,]  0.582812411  0.5809121725
## [2490,]  0.944397399  0.9449665683
## [2491,]  0.629975670  0.6283975285
## [2492,]  0.708581102  0.7075397884
## [2493,]  1.038723918  1.0399372802
## [2494,]  0.535649152  0.5334268165
## [2495,]  0.787186535  0.7866820484
## [2496,]  0.158343077  0.1535439688
## [2497,]  0.551370238  0.5492552685
## [2498,]  1.831852729  1.8384826832
## [2499,]  0.436606307  0.4337075690
## [2500,]  1.494635425  1.4989623880
## [2501,]  0.551370238  0.5492552685
## [2502,]  1.533938141  1.5385335180
## [2503,]  0.350140331  0.3466510830
## [2504,]  1.136194654  1.1380736826
## [2505,]  3.459771231  3.4775188868
## [2506,]  0.787186535  0.7866820484
## [2507,]  0.724302189  0.7233682404
## [2508,]  0.831205577  0.8310017140
## [2509,]  2.390737352  2.4011841515
## [2510,]  0.614254584  0.6125690765
## [2511,]  1.101608264  1.1032510882
## [2512,]  0.315553941  0.3118284887
## [2513,]  0.551370238  0.5492552685
## [2514,]  0.001132212 -0.0047405512
## [2515,]  0.629975670  0.6283975285
## [2516,]  0.857931424  0.8579100823
## [2517,]  0.857931424  0.8579100823
## [2518,]  1.038723918  1.0399372802
## [2519,]  0.535649152  0.5334268165
## [2520,]  0.565519216  0.5635008753
## [2521,]  0.378438287  0.3751422966
## [2522,]  0.079737645  0.0744017088
## [2523,]  0.551370238  0.5492552685
## [2524,]  0.699148451  0.6980427172
## [2525,]  1.941114280  1.9484904245
## [2526,]  0.507351196  0.5049356030
## [2527,]  0.236948509  0.2326862287
## [2528,]  1.001842249  1.0028037319
## [2529,]  0.850070881  0.8499958564
## [2530,]  0.181924706  0.1772866467
## [2531,]  0.857931424  0.8579100823
## [2532,]  0.565519216  0.5635008753
## [2533,]  0.787186535  0.7866820484
## [2534,]  1.730451722  1.7363891678
## [2535,]  0.394159374  0.3909707486
## [2536,] -0.018519146 -0.0245261161
## [2537,]  1.205367434  1.2077188713
## [2538,]  2.165925816  2.1748372880
## [2539,] -0.030309961 -0.0363974551
## [2540,]  1.215428930  1.2178490806
## [2541,]  0.749455927  0.7486937636
## [2542,]  0.174064163  0.1693724207
## [2543,]  1.117329350  1.1190795402
## [2544,]  0.551370238  0.5492552685
## [2545,]  0.944397399  0.9449665683
## [2546,]  0.449183176  0.4463703306
## [2547,]  0.472764806  0.4701130086
## [2548,]  0.001132212 -0.0047405512
## [2549,] -0.060180025 -0.0664715139
## [2550,]  0.158343077  0.1535439688
## [2551,]  2.856710355  2.8703394685
## [2552,]  1.851818509  1.8585848172
## [2553,]  2.123478883  2.1321004676
## [2554,]  0.865791967  0.8658243083
## [2555,] -0.061752133 -0.0680543591
## [2556,]  1.375155168  1.3786661529
## [2557,]  0.130045121  0.1250527552
## [2558,]  1.180213696  1.1823933482
## [2559,]  0.101747166  0.0965615416
## [2560,]  0.661417843  0.6600544325
## [2561,]  0.221227423  0.2168577767
## [2562,]  0.001132212 -0.0047405512
## [2563,]  1.730451722  1.7363891678
## [2564,]  2.507073392  2.5183146962
## [2565,]  0.144194099  0.1392983620
## [2566,]  1.840499327  1.8471883318
## [2567,]  0.865791967  0.8658243083
## [2568,] -0.044458938 -0.0506430619
## [2569,]  0.299832855  0.2960000367
## [2570,]  0.551370238  0.5492552685
## [2571,]  0.236948509  0.2326862287
## [2572,] -0.093194306  0.4254292886
## [2573,]  1.416029993  1.4198201280
## [2574,]  0.472764806  0.4701130086
## [2575,]  1.856220413  1.8630167838
## [2576,]  0.472764806  0.4701130086
## [2577,] -0.083321464 -0.0897709952
## [2578,] -0.093194306 -0.0997112631
## [2579,]  0.916099444  0.9164753547
## [2580,]  0.019997516  0.0142535912
## [2581,]  1.416029993  1.4198201280
## [2582,]  0.472764806  0.4701130086
## [2583,]  1.887662586  1.8946736878
## [2584,]  1.101608264  1.1032510882
## [2585,]  0.700720559  0.6996255624
## [2586,]  1.180213696  1.1823933482
## [2587,]  0.101747166  0.0965615416
## [2588,]  0.686571581  0.6853799556
## [2589,]  1.180213696  1.1823933482
## [2590,]  0.771465448  0.7708535964
## [2591,]  0.565519216  0.5635008753
## [2592,]  1.180213696  1.1823933482
## [2593,]  0.101747166  0.0965615416
## [2594,]  2.752322341  3.9504730323
## [2595,]  0.079737645  0.0744017088
## [2596,]  2.046445559  2.0545410529
## [2597,]  0.285683877  0.2817544299
## [2598,]  0.787186535  0.7866820484
## [2599,]  0.551370238  0.5492552685
## [2600,] -0.013960031 -0.0199358651
## [2601,]  1.416029993  1.4198201280
## [2602,]  0.472764806  0.4701130086
## [2603,]  0.236948509  0.2326862287
## [2604,] -0.077473220 -0.0838828111
## [2605,]  0.236948509  0.2326862287
## [2606,] -0.077473220 -0.0838828111
## [2607,]  1.957621421  1.9651102991
## [2608,]  0.780898100  0.7803506676
## [2609,]  2.453621698  2.4644979594
## [2610,]  0.850070881  0.8499958564
## [2611,]  0.857931424  0.8579100823
## [2612,]  0.565519216  0.5635008753
## [2613,]  2.044873451  2.0529582077
## [2614,]  1.573240857  1.5781046479
## [2615,]  0.472764806  0.4701130086
## [2616,]  1.416029993  1.4198201280
## [2617,]  0.111179817  0.1060586128
## [2618,]  1.136194654  1.1380736826
## [2619,]  0.857931424  0.8579100823
## [2620,]  2.013431278  2.0213013037
## [2621,]  0.362717201  0.3593138446
## [2622,]  2.437900612  2.4486695074
## [2623,]  0.158343077  0.1535439688
## [2624,]  0.394159374  0.3909707486
## [2625,]  0.079737645  0.0744017088
## [2626,]  0.243236944  0.2390176095
## [2627,]  1.730451722  1.7363891678
## [2628,]  1.714730635  1.7205607159
## [2629,]  0.565519216  0.5635008753
## [2630,]  1.941114280  1.9484904245
## [2631,]  0.507351196  0.5049356030
## [2632,]  0.661417843  0.6600544325
## [2633,]  0.441322633  0.4384561046
## [2634,]  1.070166091  1.0715941842
## [2635,]  1.604683030  1.6097615519
## [2636,]  1.023788886  1.0249002509
## [2637,]  1.730451722  1.7363891678
## [2638,]  1.070166091  1.0715941842
## [2639,]  1.573240857  1.5781046479
## [2640,]  0.787186535  0.7866820484
## [2641,]  1.101608264  1.1032510882
## [2642,]  0.315553941  0.3118284887
## [2643,] -0.077473220 -0.0838828111
## [2644,]  0.535649152  0.5334268165
## [2645,]  0.290400203  0.2865029655
## [2646,]  0.565519216  0.5635008753
## [2647,]  1.699009549  1.7047322639
## [2648,]  0.629975670  0.6283975285
## [2649,]  0.299832855  0.2960000367
## [2650,]  0.787186535  0.7866820484
## [2651,]  0.001132212 -0.0047405512
## [2652,]  0.831205577  0.8310017140
## [2653,]  1.970984344  1.9785644833
## [2654,]  0.527788608  0.5255125905
## [2655,]  0.290400203  0.2865029655
## [2656,]  1.416029993  1.4198201280
## [2657,]  0.001132212 -0.0047405512
## [2658,]  1.543370793  1.5480305892
## [2659,] -0.063324242 -0.0696372043
## [2660,]  0.425601546  0.4226276526
## [2661,]  0.629975670  0.6283975285
## [2662,]  1.375155168  1.3786661529
## [2663,]  1.543370793  1.5480305892
## [2664,] -0.063324242 -0.0696372043
## [2665,]  0.315553941  0.3118284887
## [2666,]  2.627654125  2.6397189230
## [2667,]  0.327030334  0.3233832586
## [2668,]  0.315553941  0.3118284887
## [2669,]  0.137905664  0.1329669812
## [2670,]  1.136194654  1.1380736826
## [2671,]  0.252669595  0.2485146807
## [2672,]  2.885951576  2.8997803892
## [2673,]  0.480625349  0.4780272346
## [2674,]  1.461951286  1.4660550363
## [2675,]  0.316261390  0.3125407690
## [2676,]  1.543370793  1.5480305892
## [2677,] -0.063324242 -0.0696372043
## [2678,]  1.180213696  1.1823933482
## [2679,]  0.101747166  0.0965615416
## [2680,]  1.689576897  1.6952351927
## [2681,]  0.953830051  0.9544636395
## [2682,]  2.249247574  2.2587280835
## [2683,]  0.472764806  0.4701130086
## [2684,]  1.730451722  1.7363891678
## [2685,]  0.661417843  0.6600544325
## [2686,]  0.315553941  0.3118284887
## [2687,]  1.305982388  1.3090209641
## [2688,]  0.252669595  0.2485146807
## [2689,]  0.552942347  0.5508381137
## [2690,]  0.158343077  0.1535439688
## [2691,]  1.431751079  1.4356485800
## [2692,]  0.205506336  0.2010293247
## [2693,]  1.070166091  1.0715941842
## [2694,]  0.944397399  0.9449665683
## [2695,]  0.284111768  0.2801715847
## [2696,]  2.532227130  2.5436402194
## [2697,]  0.198274636  0.1937482368
## [2698,]  1.710800364  1.7166036029
## [2699,]  0.551370238  0.5492552685
## [2700,]  1.180213696  1.1823933482
## [2701,] -0.077473220 -0.0838828111
## [2702,]  1.205367434  1.2077188713
## [2703,]  0.629975670  0.6283975285
## [2704,]  0.236948509  0.2326862287
## [2705,]  0.394159374  0.3909707486
## [2706,]  0.158343077  0.1535439688
## [2707,]  1.533938141  1.5385335180
## [2708,]  0.350140331  0.3466510830
## [2709,]  1.533938141  1.5385335180
## [2710,]  0.350140331  0.3466510830
## [2711,]  0.057728124  0.0522418760
## [2712,]  0.517569902  0.5152240967
## [2713,]  0.001132212 -0.0047405512
## [2714,]  2.453621698  2.4644979594
## [2715,]  0.850070881  0.8499958564
## [2716,]  0.158343077  0.1535439688
## [2717,]  1.302209327  1.3052221356
## [2718,]  0.304234759  0.3004320032
## [2719,]  0.565519216  0.5635008753
## [2720,]  0.284111768  0.2801715847
## [2721,]  0.565519216  0.5635008753
## [2722,]  0.197645793  0.1931150987
## [2723,]  1.421532373  1.4253600862
## [2724,]  0.391015156  0.3878050582
## [2725,]  1.533938141  1.5385335180
## [2726,]  0.350140331  0.3466510830
## [2727,]  0.064016558  0.0585732568
## [2728,]  0.284111768  0.2801715847
## [2729,]  0.057728124  0.0522418760
## [2730,]  0.441322633  0.4384561046
## [2731,]  0.032574385  0.0269163528
## [2732,]  0.661417843  0.6600544325
## [2733,]  0.221227423  0.2168577767
## [2734,]  1.309126605  1.3121866545
## [2735,]  0.692860016  0.6917113364
## [2736,]  0.174064163  0.1693724207
## [2737,]  1.180213696  1.1823933482
## [2738,]  0.101747166  0.0965615416
## [2739,]  0.944397399  0.9449665683
## [2740,]  0.158343077  0.1535439688
## [2741,]  0.057728124  0.0522418760
## [2742,]  0.565519216  0.5635008753
## [2743,] -0.077473220 -0.0838828111
## [2744,]  0.881513053  0.8816527603
## [2745,]  0.057728124  0.0522418760
## [2746,] -0.060180025 -0.0664715139
## [2747,]  1.431751079  1.4356485800
## [2748,]  0.079737645  0.0744017088
## [2749,]  0.700720559  0.6996255624
## [2750,]  0.771465448  0.7708535964
## [2751,] -0.077473220 -0.0838828111
## [2752,]  0.787186535  0.7866820484
## [2753,]  0.315553941  0.3118284887
## [2754,]  0.003018743 -0.0028411369
## [2755,]  1.620404116  1.6255900039
## [2756,]  0.284111768  0.2801715847
## [2757,]  0.787186535  0.7866820484
## [2758,]  0.315553941  0.3118284887
## [2759,]  0.565519216  0.5635008753
## [2760,]  0.450755285  0.4479531758
## [2761,]  1.651846289  1.6572469079
## [2762,]  0.299832855  0.2960000367
## [2763,]  0.079737645  0.0744017088
## [2764,]  0.023298944  0.0175775662
## [2765,] -0.090050089 -0.0965455727
## [2766,]  0.023298944  0.0175775662
## [2767,]  1.604683030  1.6097615519
## [2768,]  0.679811514  0.6785737213
## [2769,]  1.573240857  1.5781046479
## [2770,] -0.061752133 -0.0680543591
## [2771,]  0.787186535  1.5160571161
## [2772,]  0.236948509  0.8344206596
## [2773,]  1.730451722  1.7363891678
## [2774,]  2.823067230  2.8364665812
## [2775,]  1.881374152  1.8883423070
## [2776,]  1.581101400  1.5860188739
## [2777,]  0.150482534  0.1456297428
## [2778,]  1.573240857  1.5781046479
## [2779,]  0.315553941  0.3118284887
## [2780,]  0.768321231  0.7676879060
## [2781,]  1.136194654  1.1380736826
## [2782,]  0.001132212 -0.0047405512
## [2783,]  1.667567376  1.6730753599
## [2784,]  0.158343077  0.1535439688
## [2785,]  0.472764806  0.4701130086
## [2786,]  0.236948509  0.2326862287
## [2787,]  1.494635425  1.4989623880
## [2788,]  0.944397399  0.9449665683
## [2789,]  2.095180927  2.1036092540
## [2790,]  0.611110367  0.6094033861
## [2791,]  1.101608264  1.1032510882
## [2792,]  0.001132212 -0.0047405512
## [2793,]  0.661417843  0.6600544325
## [2794,]  0.221227423  0.2168577767
## [2795,]  0.875853462  0.8759545176
## [2796,]  0.680283147  0.6790485749
## [2797,]  0.101747166  0.0965615416
## [2798,]  0.724302189  0.7233682404
## [2799,]  0.236948509  0.2326862287
## [2800,]  1.478914338  1.4831339360
## [2801,]  0.740023275  0.7391966924
## [2802,]  2.799485600  2.8127239032
## [2803,]  0.960118486  0.9607950203
## [2804,]  1.368866733  1.3723347721
## [2805,]  0.809982110  0.8096333038
## [2806,]  1.243098042  1.2457071561
## [2807,]  0.881513053  0.8816527603
## [2808,]  1.274540215  1.2773640601
## [2809,]  0.531718880  0.5294697035
## [2810,]  0.243236944  0.2390176095
## [2811,]  0.394159374  0.3909707486
## [2812,]  0.046723363  0.0411619596
## [2813,]  2.136055752  2.1447632292
## [2814,]  0.073449210  0.0680703280
## [2815,]  2.188249759  2.1973136898
## [2816,]  0.667706278  0.6663858133
## [2817,]  0.472733364  0.4700813517
## [2818,]  1.258819128  1.2615356081
## [2819,]  0.252669595  0.2485146807
## [2820,]  1.699009549  1.7047322639
## [2821,]  1.180213696  1.1823933482
## [2822,]  0.101747166  0.0965615416
## [2823,]  0.629975670  0.6283975285
## [2824,]  0.001132212 -0.0047405512
## [2825,]  0.724302189  0.7233682404
## [2826,]  1.085887177  1.0874226362
## [2827,]  1.258819128  1.2615356081
## [2828,]  0.881513053  0.8816527603
## [2829,]  0.661417843  0.6600544325
## [2830,]  0.221227423  0.2168577767
## [2831,]  2.359295180  2.3695272475
## [2832,]  1.730451722  1.7363891678
## [2833,] -0.046031047 -0.0522259071
## [2834,]  0.787186535  0.7866820484
## [2835,]  2.112631333  2.1211788357
## [2836,]  0.049710369  0.0441693655
## [2837,]  1.754033351  1.7601318458
## [2838,]  0.857931424  0.8579100823
## [2839,] -0.077473220 -0.0838828111
## [2840,]  0.629975670  0.6283975285
## [2841,]  0.158343077  0.1535439688
## [2842,]  1.970984344  1.9785644833
## [2843,]  0.527788608  0.5255125905
## [2844,] -0.470500381 -0.0419690702
## [2845,]  0.517569902  0.5152240967
## [2846,]  0.831205577  0.8310017140
## [2847,]  1.023002831  1.0241088283
## [2848,]  0.394159374  0.3909707486
## [2849,]  1.240834205  1.2434278590
## [2850,] -0.084704920 -0.0911638990
## [2851,]  0.197645793  0.1931150987
## [2852,]  1.117329350  1.1190795402
## [2853,]  0.551370238  0.5492552685
## [2854,]  2.060594537  2.0687866597
## [2855,]  0.724302189  0.7233682404
## [2856,] -0.061752133 -0.0680543591
## [2857,]  0.551370238  0.5492552685
## [2858,]  0.001132212 -0.0047405512
## [2859,] -0.077473220 -0.0838828111
## [2860,]  1.636125203  1.6414184559
## [2861,]  0.787186535  0.7866820484
## [2862,]  1.730451722  1.7363891678
## [2863,]  2.060594537  2.0687866597
## [2864,]  0.488485892  0.4859414606
## [2865,]  2.123478883  2.1321004676
## [2866,]  0.944397399  0.9449665683
## [2867,]  0.661417843  0.6600544325
## [2868,]  0.221227423  0.2168577767
## [2869,]  0.441322633  0.4384561046
## [2870,]  0.032574385  0.0269163528
## [2871,]  0.158343077  0.1535439688
## [2872,] -0.077473220 -0.0838828111
## [2873,]  2.095180927  2.1036092540
## [2874,]  0.611110367  0.6094033861
## [2875,]  1.180213696  1.1823933482
## [2876,]  0.284111768  0.2801715847
## [2877,] -0.093194306 -0.0997112631
## [2878,]  0.865791967  0.8658243083
## [2879,]  0.001132212 -0.0047405512
## [2880,]  0.620543018  0.6189004573
## [2881,]  0.857931424  0.8579100823
## [2882,]  0.001132212 -0.0047405512
## [2883,]  0.346996114  0.3434853926
## [2884,]  1.730451722  1.7363891678
## [2885,]  0.290400203  0.2865029655
## [2886,]  0.001132212 -0.0047405512
## [2887,]  0.174064163  0.1693724207
## [2888,]  1.416029993  1.4198201280
## [2889,]  0.115110089  0.1100157258
## [2890,]  1.730451722  1.7363891678
## [2891,]  2.005570734  2.0133870777
## [2892,]  0.881513053  0.8816527603
## [2893,]  0.236948509  0.2326862287
## [2894,]  0.001132212 -0.0047405512
## [2895,]  1.136194654  1.1380736826
## [2896,]  1.361006190  1.3644205461
## [2897,]  0.409880460  0.4067992006
## [2898,]  0.079737645  0.0744017088
## [2899,]  0.359572983  0.3561481542
## [2900,]  1.730451722  1.7363891678
## [2901,]  0.335205299  0.3316140537
## [2902,]  2.359295180  2.7479063923
## [2903,] -0.061752133 -0.0680543591
## [2904,] -0.061752133 -0.0680543591
## [2905,]  0.001132212 -0.0047405512
## [2906,]  0.079737645  0.0744017088
## [2907,]  1.533938141  1.5385335180
## [2908,]  0.350140331  0.3466510830
## [2909,]  1.258819128  1.2615356081
## [2910,]  2.316848246  2.3267904271
## [2911,]  0.758888579  0.7581908348
## [2912,]  0.850070881  0.8499958564
## [2913,]  0.181924706  0.1772866467
## [2914,] -0.093194306 -0.0997112631
## [2915,]  0.158343077  0.1535439688
## [2916,]  1.038723918  1.0399372802
## [2917,]  0.535649152  0.5334268165
## [2918,]  1.620404116  1.6255900039
## [2919,]  0.101747166  0.0965615416
## [2920,]  1.809057154  1.8155314278
## [2921,]  0.787186535  0.7866820484
## [2922,]  1.054445004  1.0557657322
## [2923,]  0.551370238  0.5492552685
## [2924,]  0.430317872  0.4273761882
## [2925,]  0.920029715  0.9204324677
## [2926,]  0.324200539  0.3205341373
## [2927,]  0.787186535  0.7866820484
## [2928,]  0.629975670  0.6283975285
## [2929,]  0.236948509  0.2326862287
## [2930,]  0.236948509  0.2326862287
## [2931,] -0.077473220 -0.0838828111
## [2932,]  1.136194654  1.1380736826
## [2933,]  2.931542726  2.9456828999
## [2934,]  0.817056599  0.8167561072
## [2935,]  0.626045399  0.6244404155
## [2936,]  1.887662586  1.8946736878
## [2937,]  0.315553941  0.3118284887
## [2938,]  0.504206979  0.5017699126
## [2939,] -0.093194306 -0.0997112631
## [2940,]  1.478914338  1.4831339360
## [2941,]  0.787186535  0.7866820484
## [2942,]  1.730451722  1.7363891678
## [2943,]  0.394159374  0.3909707486
## [2944,]  0.629975670  0.6283975285
## [2945,]  0.001132212 -0.0047405512
## [2946,]  0.944397399  0.9449665683
## [2947,]  0.158343077  0.1535439688
## [2948,]  0.944397399  0.9449665683
## [2949,]  0.158343077  0.1535439688
## [2950,]  0.944397399  0.9449665683
## [2951,]  0.158343077  0.1535439688
## [2952,]  0.944397399  0.9449665683
## [2953,]  0.158343077  0.1535439688
## [2954,]  0.944397399  0.9449665683
## [2955,]  0.158343077  0.1535439688
## [2956,]  1.573240857  1.5781046479
## [2957,]  1.180213696  1.1823933482
## [2958,]  0.394159374  0.3909707486
## [2959,]  0.944397399  0.9449665683
## [2960,]  0.158343077  0.1535439688
## [2961,]  0.944397399  0.9449665683
## [2962,]  0.158343077  0.1535439688
## [2963,]  0.944397399  0.9449665683
## [2964,]  0.158343077  0.1535439688
## [2965,]  1.361006190  1.3644205461
## [2966,]  0.409880460  0.4067992006
## [2967,]  3.459771231  3.4775188868
## [2968,]  0.787186535  0.7866820484
## [2969,]  1.730451722  1.7363891678
## [2970,]  1.180213696  1.1823933482
## [2971,]  3.459771231  3.4775188868
## [2972,]  0.787186535  0.7866820484
## [2973,]  0.576523976  0.5745807917
## [2974,]  2.351434636  2.3616130215
## [2975,]  1.496207534  1.5005452332
## [2976,]  1.133050437  1.1349079922
## [2977,]  0.901950466  0.9022297479
## [2978,] -0.011444657 -0.0174033127
## [2979,]  2.233526488  2.2428996316
## [2980,]  0.229087966  0.2247720027
## [2981,]  2.236670705  2.2460653220
## [2982,]  0.229087966  0.2247720027
## [2983,]  0.218083205  0.2136920863
## [2984,]  0.158343077  0.1535439688
## [2985,]  2.044873451  2.0529582077
## [2986,]  0.944397399  0.9449665683
## [2987,]  0.315553941  0.3118284887
## [2988,]  0.001132212 -0.0047405512
## [2989,]  0.787186535  0.7866820484
## [2990,]  0.315553941  0.3118284887
## [2991,]  1.180213696  1.1823933482
## [2992,]  0.394159374  0.3909707486
## [2993,]  0.626045399  0.6244404155
## [2994,]  1.180213696  1.1823933482
## [2995,]  0.186641032  0.1820351823
## [2996,]  2.123478883  2.1321004676
## [2997,]  0.691287907  0.6901284912
## [2998,]  1.416029993  1.4198201280
## [2999,]  0.724302189  0.7233682404
## [3000,]  1.007281745  1.0082803763
## [3001,]  0.221227423  0.2168577767
## [3002,]  0.315553941  0.3118284887
## [3003,]  0.079737645  0.0744017088
## [3004,]  0.771465448  0.7708535964
## [3005,] -0.077473220 -0.0838828111
## [3006,]  1.730451722  1.7363891678
## [3007,]  0.787186535  0.7866820484
## [3008,]  0.565519216  0.5635008753
## [3009,]  0.787186535  0.7866820484
## [3010,] -0.077473220 -0.0838828111
## [3011,]  0.394159374  0.3909707486
## [3012,] -0.077473220 -0.0838828111
## [3013,]  1.604683030  1.6097615519
## [3014,]  2.198940098  2.2080770372
## [3015,]  1.007281745  1.0082803763
## [3016,]  1.136194654  1.1380736826
## [3017,]  1.101608264  1.1032510882
## [3018,]  0.236948509  0.2326862287
## [3019,]  2.057921952  2.0660958228
## [3020,]  0.365468391  0.3620838237
## [3021,]  0.708581102  0.7075397884
## [3022,]  0.158343077  0.1535439688
## [3023,]  1.970984344  1.9785644833
## [3024,]  0.527788608  0.5255125905
## [3025,]  0.394159374  0.3909707486
## [3026,] -0.077473220 -0.0838828111
## [3027,]  0.394159374  0.3909707486
## [3028,]  0.158343077  0.1535439688
## [3029,]  0.197645793  0.1931150987
## [3030,]  0.383940667  0.3806822548
## [3031,]  1.494635425  1.4989623880
## [3032,]  1.278470486  1.2813211731
## [3033,]  0.079737645  0.0744017088
## [3034,]  1.447472166  1.4514770320
## [3035,]  0.708581102  0.7075397884
## [3036,]  0.079737645  0.0744017088
## [3037,]  1.136194654  1.1380736826
## [3038,]  0.158343077  0.1535439688
## [3039,]  0.534454349  0.5322238542
## [3040,]  0.001132212 -0.0047405512
## [3041,]  3.145349502  4.4373562156
## [3042,]  0.394159374  0.3909707486
## [3043,]  1.136194654  1.1380736826
## [3044,]  1.085887177  1.0874226362
## [3045,] -0.044458938 -0.0506430619
## [3046,]  1.001936576  1.0028987026
## [3047,] -0.044458938 -0.0506430619
## [3048,]  0.315553941  0.3118284887
## [3049,]  0.001132212 -0.0047405512
## [3050,]  0.001132212 -0.0047405512
## [3051,]  1.966268018  1.9738159477
## [3052,]  0.378438287  0.3751422966
## [3053,]  1.258819128  1.2615356081
## [3054,] -0.105771176 -0.1123740247
## [3055,]  1.180213696  1.1823933482
## [3056,]  0.101747166  0.0965615416
## [3057,]  0.787186535  0.7866820484
## [3058,]  1.623548334  1.6287556943
## [3059,]  3.032314890  3.0471432772
## [3060,]  0.544924593  0.5427656032
## [3061,]  0.197645793  0.1931150987
## [3062,]  0.859817954  0.8598094966
## [3063,]  1.898714510  1.9058010895
## [3064,]  1.124938356  1.1267405110
## [3065,]  0.987630387  0.9884948113
## [3066,]  0.551370238  0.5492552685
## [3067,]  1.761893895  1.7680460718
## [3068,]  1.494635425  1.4989623880
## [3069,]  1.970984344  1.9785644833
## [3070,]  0.527788608  0.5255125905
## [3071,]  1.078026634  1.0795084102
## [3072,]  0.773006115  0.7724047847
## [3073,]  0.839066120  0.8389159400
## [3074,]  0.615983903  0.6143102062
## [3075,]  1.710800364  1.7166036029
## [3076,]  0.551370238  0.5492552685
## [3077,]  1.282400758  1.2852782861
## [3078,]  0.252669595  0.2485146807
## [3079,]  0.354856657  0.3513996186
## [3080,]  1.384587820  1.3881632240
## [3081,]  0.409880460  0.4067992006
## [3082,]  1.368866733  1.3723347721
## [3083,]  0.809982110  0.8096333038
## [3084,]  2.507073392  2.5183146962
## [3085,]  0.144194099  0.1392983620
## [3086,]  1.368866733  1.3723347721
## [3087,]  0.809982110  0.8096333038
## [3088,]  2.044873451  2.0529582077
## [3089,]  0.944397399  0.9449665683
## [3090,]  2.046445559  2.0545410529
## [3091,]  0.285683877  0.2817544299
## [3092,]  0.684999473  0.6837971104
## [3093,]  0.001132212 -0.0047405512
## [3094,]  0.565519216  0.5635008753
## [3095,]  1.180213696  1.1823933482
## [3096,]  0.394159374  0.3909707486
## [3097,]  0.551370238  0.5492552685
## [3098,]  0.208587669  0.2041317013
## [3099,] -0.063560058 -0.0698746311
## [3100,]  1.054445004  1.0557657322
## [3101,]  0.551370238  0.5492552685
## [3102,]  0.831205577  0.8310017140
## [3103,] -0.077473220 -0.0838828111
## [3104,]  0.236948509  0.2326862287
## [3105,]  0.459716304  0.4569753934
## [3106,]  0.040434928  0.0348305788
## [3107,]  1.530793924  1.5353678276
## [3108,]  0.834349794  0.8341674044
## [3109,]  1.101608264  1.1032510882
## [3110,]  0.001132212 -0.0047405512
## [3111,]  2.198940098  2.2080770372
## [3112,]  1.007281745  1.0082803763
## [3113,]  0.469935010  0.4672638872
## [3114,] -0.095395258 -0.1019272464
## [3115,]  2.095180927  2.1036092540
## [3116,]  0.611110367  0.6094033861
## [3117,]  2.198940098  2.2080770372
## [3118,]  1.010425962  1.0114460667
## [3119,]  0.565519216  0.5635008753
## [3120,]  1.604683030  1.6097615519
## [3121,]  0.079737645  0.0744017088
## [3122,]  0.186641032  0.1820351823
## [3123,]  3.024297136  3.0390707667
## [3124,]  0.411452569  0.4083820458
## [3125,]  0.857931424  0.8579100823
## [3126,]  2.646991062  2.6591879189
## [3127,]  0.978983789  0.9797891627
## [3128,]  0.708581102  0.7075397884
## [3129,]  0.158343077  0.1535439688
## [3130,]  1.258819128  1.2615356081
## [3131,] -0.105771176 -0.1123740247
## [3132,] -0.077473220 -0.0838828111
## [3133,]  0.290400203  0.2865029655
## [3134,]  2.507073392  2.5183146962
## [3135,]  0.144194099  0.1392983620
## [3136,]  0.629975670  0.6283975285
## [3137,]  0.001132212 -0.0047405512
## [3138,]  0.197645793  0.1931150987
## [3139,]  0.001132212 -0.0047405512
## [3140,] -0.077473220 -0.0838828111
## [3141,]  1.136194654  1.1380736826
## [3142,]  1.431751079  1.4356485800
## [3143,]  0.079737645  0.0744017088
## [3144,]  1.101608264  1.1032510882
## [3145,]  0.629975670  0.6283975285
## [3146,]  0.158343077  0.1535439688
## [3147,]  2.359295180  2.3695272475
## [3148,]  1.573240857  1.5781046479
## [3149,]  1.227376955  1.2298787041
## [3150,]  0.567091324  0.5650837205
## [3151,]  0.629975670  0.6283975285
## [3152,]  0.315553941  0.3118284887
## [3153,]  1.258819128  1.2615356081
## [3154,]  0.787186535  0.7866820484
## [3155,]  0.472764806  0.4701130086
## [3156,]  0.787186535  0.7866820484
## [3157,]  1.101608264  1.1032510882
## [3158,]  0.865791967  0.8658243083
## [3159,]  0.472764806  0.4701130086
## [3160,]  0.787186535  0.7866820484
## [3161,]  0.001132212 -0.0047405512
## [3162,]  1.023002831  1.0241088283
## [3163,]  0.315553941  0.3118284887
## [3164,]  1.533938141  1.5385335180
## [3165,]  0.350140331  0.3466510830
## [3166,]  1.164492609  1.1665648962
## [3167,]  0.409880460  0.4067992006
## [3168,] -0.077473220 -0.0838828111
## [3169,]  0.551370238  0.5492552685
## [3170,]  2.823067230  2.8364665812
## [3171,]  1.881374152  1.8883423070
## [3172,]  1.573240857  1.5781046479
## [3173,]  0.197645793  0.1931150987
## [3174,]  0.787186535  0.7866820484
## [3175,] -0.077473220 -0.0838828111
## [3176,] -0.077473220 -0.0838828111
## [3177,]  0.842210337  0.8420816304
## [3178,]  0.032574385  0.0269163528
## [3179,]  1.400308906  1.4039916760
## [3180,]  1.368866733  1.3723347721
## [3181,] -0.077473220 -0.0838828111
## [3182,]  0.657723388  0.6563347462
## [3183,]  0.629975670  0.6283975285
## [3184,]  2.249247574  2.2587280835
## [3185,]  0.551370238  0.5492552685
## [3186,]  1.101608264  1.1032510882
## [3187,]  0.158343077  0.1535439688
## [3188,]  0.394159374  0.3909707486
## [3189,] -0.077473220 -0.0838828111
## [3190,]  0.787186535  0.7866820484
## [3191,] -0.022449417 -0.0284832291
## [3192,]  1.423890536  1.4277343540
## [3193,]  0.046723363  0.0411619596
## [3194,]  0.362717201  0.3593138446
## [3195,]  1.730451722  1.7363891678
## [3196,]  0.394159374  0.3909707486
## [3197,]  1.730451722  1.7363891678
## [3198,]  0.865791967  0.8658243083
## [3199,]  0.535649152  0.5334268165
## [3200,] -0.006728331 -0.0126547771
## [3201,]  0.708581102  0.7075397884
## [3202,]  0.158343077  0.1535439688
## [3203,]  1.094297958  1.0958908580
## [3204,] -0.059944209 -0.0662340871
## [3205,]  0.315553941  0.3118284887
## [3206,]  0.394159374  0.3909707486
## [3207,] -0.077473220 -0.0838828111
## [3208,]  0.771465448  0.7708535964
## [3209,]  0.189785250  0.1852008727
## [3210,]  1.136194654  1.1380736826
## [3211,]  1.117329350  1.1190795402
## [3212,]  0.048295472  0.0427448048
## [3213,]  0.582812411  0.5809121725
## [3214,]  0.944397399  0.9449665683
## [3215,]  0.394159374  0.3909707486
## [3216,]  0.457043719  0.4542845566
## [3217,]  1.494635425  1.4989623880
## [3218,]  0.472764806  0.4701130086
## [3219,]  0.768321231  0.7676879060
## [3220,]  0.944397399  0.9449665683
## [3221,]  0.079737645  0.0744017088
## [3222,]  0.236948509  0.2326862287
## [3223,]  1.966268018  1.9738159477
## [3224,]  2.055878211  2.0640381241
## [3225,]  0.008206701  0.0023822522
## [3226,]  1.581101400  1.5860188739
## [3227,]  0.150482534  0.1456297428
## [3228,] -0.077473220 -0.0838828111
## [3229,]  0.394159374  0.3909707486
## [3230,]  1.683288462  1.6889038119
## [3231,] -0.046031047 -0.0522259071
## [3232,]  1.133050437  1.1349079922
## [3233,]  0.394159374  0.3909707486
## [3234,]  0.834349794  0.8341674044
## [3235,]  1.001936576  1.0028987026
## [3236,]  1.117329350  1.1190795402
## [3237,] -0.046031047 -0.0522259071
## [3238,]  0.565519216  0.5635008753
## [3239,]  1.384587820  1.3881632240
## [3240,]  0.095458731  0.0902301608
## [3241,]  2.422179525  2.4328410554
## [3242,]  0.771465448  0.7708535964
## [3243,]  0.001132212 -0.0047405512
## [3244,]  0.177208381  0.7604068181
## [3245,]  1.416029993  1.4198201280
## [3246,]  0.529360717  0.5270954357
## [3247,]  1.573240857  1.5781046479
## [3248,]  0.001132212 -0.0047405512
## [3249,]  0.158343077  0.1535439688
## [3250,]  2.187558031  2.1966172379
## [3251,]  0.824178251  0.8239263959
## [3252,] -0.077473220 -0.0838828111
## [3253,]  0.079737645  0.0744017088
## [3254,]  0.787186535  0.7866820484
## [3255,]  0.158343077  0.1535439688
## [3256,]  0.122970632  0.1179299518
## [3257,]  0.472764806  0.4701130086
## [3258,]  0.787186535  0.7866820484
## [3259,] -0.077473220 -0.0838828111
## [3260,]  0.469935010  0.4672638872
## [3261,] -0.095395258 -0.1019272464
## [3262,]  0.079737645  0.0744017088
## [3263,]  1.431751079  1.4356485800
## [3264,]  0.488485892  0.4859414606
## [3265,]  1.604683030  1.6097615519
## [3266,]  0.064016558  0.0585732568
## [3267,]  0.472764806  0.4701130086
## [3268,]  0.079737645  0.0744017088
## [3269,]  0.657723388  0.6563347462
## [3270,]  0.394159374  0.3909707486
## [3271,] -0.077473220 -0.0838828111
## [3272,]  1.368866733  1.3723347721
## [3273,] -0.077473220 -0.0838828111
## [3274,]  0.079737645  0.0744017088
## [3275,] -0.061752133 -0.0680543591
## [3276,]  0.315553941  0.3118284887
## [3277,]  0.920029715  0.9204324677
## [3278,]  0.324200539  0.3205341373
## [3279,]  0.787186535  0.7866820484
## [3280,]  0.315553941  0.3118284887
## [3281,]  0.335205299  0.3316140537
## [3282,]  1.136194654  1.1380736826
## [3283,]  1.730451722  1.7363891678
## [3284,]  0.057728124  0.0522418760
## [3285,]  0.865791967  0.8658243083
## [3286,]  0.535649152  0.5334268165
## [3287,]  0.512067522  0.5096841386
## [3288,]  0.835921903  0.8357502496
## [3289,]  1.604683030  1.6097615519
## [3290,]  0.158343077  0.1535439688
## [3291,]  1.699009549  1.7047322639
## [3292,]  0.629975670  0.6283975285
## [3293,]  0.315553941  0.3118284887
## [3294,]  0.276251225  0.2722573587
## [3295,]  0.708581102  0.7075397884
## [3296,]  0.158343077  0.1535439688
## [3297,] -0.061752133 -0.0680543591
## [3298,]  2.139199969  2.1479289196
## [3299,]  0.897234140  0.8974812123
## [3300,]  1.152701795  1.1546935572
## [3301,]  0.450755285  0.4479531758
## [3302,]  3.195656979  3.2116008934
## [3303,]  1.562236097  1.5670247315
## [3304,]  1.258819128  1.2615356081
## [3305,]  1.101608264  1.1032510882
## [3306,]  2.316848246  2.3267904271
## [3307,]  0.758888579  0.7581908348
## [3308,]  0.944397399  0.9449665683
## [3309,]  0.029430168  0.0237506624
## [3310,]  0.787186535  0.7866820484
## [3311,]  0.315553941  0.3118284887
## [3312,]  2.627654125  2.6397189230
## [3313,]  0.327030334  0.3233832586
## [3314,]  0.335205299  0.3316140537
## [3315,]  0.236948509  0.2326862287
## [3316,]  1.180213696  1.1823933482
## [3317,]  0.394159374  0.3909707486
## [3318,]  1.258819128  1.2615356081
## [3319,]  1.533938141  1.5385335180
## [3320,]  0.350140331  0.3466510830
## [3321,]  0.394159374  0.3909707486
## [3322,] -0.077473220 -0.0838828111
## [3323,] -0.019305200 -0.0253175387
## [3324,] -0.077473220 -0.0838828111
## [3325,]  0.787186535  0.7866820484
## [3326,]  0.001132212 -0.0047405512
## [3327,]  0.158343077  0.1535439688
## [3328,]  0.551370238  0.5492552685
## [3329,]  1.970984344  1.9785644833
## [3330,]  0.519928065  0.5175983645
## [3331,]  0.315553941  0.3118284887
## [3332,]  0.276251225  0.2722573587
## [3333,]  1.573240857  1.5781046479
## [3334,]  0.787186535  0.7866820484
## [3335,]  1.038723918  1.0399372802
## [3336,]  0.535649152  0.5334268165
## [3337,]  0.472764806  0.4701130086
## [3338,]  0.236948509  0.2326862287
## [3339,]  0.565519216  0.5635008753
## [3340,] -0.077473220 -0.0838828111
## [3341,] -0.095316653 -0.1018481041
## [3342,]  0.362717201  0.3593138446
## [3343,]  0.913725560  0.9140852585
## [3344,]  0.469935010  0.4672638872
## [3345,] -0.095395258 -0.1019272464
## [3346,]  0.276251225  0.2722573587
## [3347,]  1.970984344  1.9785644833
## [3348,]  0.527788608  0.5255125905
## [3349,] -0.005156222 -0.0110719320
## [3350,] -0.077473220 -0.0838828111
## [3351,]  0.629975670  0.6283975285
## [3352,]  0.057728124  0.0522418760
## [3353,]  0.016853299  0.0110879008
## [3354,]  1.970984344  1.9785644833
## [3355,]  0.527788608  0.5255125905
## [3356,]  1.101608264  1.1032510882
## [3357,]  0.315553941  0.3118284887
## [3358,]  0.158343077  0.1535439688
## [3359,] -0.077473220 -0.0838828111
## [3360,]  0.064016558  0.0585732568
## [3361,]  0.629975670  0.6283975285
## [3362,]  0.001132212 -0.0047405512
## [3363,]  1.809057154  1.8155314278
## [3364,]  1.337424560  1.3406778681
## [3365,]  0.158343077  0.1535439688
## [3366,]  1.604683030  1.6097615519
## [3367,]  0.221227423  0.3483763843
## [3368,]  0.803473580  0.8030803247
## [3369,]  0.236948509  0.2326862287
## [3370,]  0.346996114  0.3434853926
## [3371,]  0.218083205  0.2136920863
## [3372,]  1.368866733  1.3723347721
## [3373,] -0.077473220 -0.0838828111
## [3374,]  1.699009549  1.7047322639
## [3375,]  0.629975670  0.6283975285
## [3376,] -0.077473220 -0.0838828111
## [3377,]  0.875224619  0.8753213795
## [3378,]  1.604683030  1.6097615519
## [3379,]  1.412068279  1.4158313581
## [3380,]  0.155701934  0.1508847888
## [3381,]  0.571807650  0.5698322561
## [3382,]  0.236948509  0.2326862287
## [3383,]  0.629975670  0.6283975285
## [3384,] -0.013960031 -0.0199358651
## [3385,]  0.057728124  0.0522418760
## [3386,]  0.356428766  0.3529824638
## [3387,]  0.475594601  0.4729621299
## [3388,]  3.555355437  3.5737558749
## [3389,]  0.993447189  0.9943513385
## [3390,]  0.057728124  0.0522418760
## [3391,]  0.889373597  0.8895669863
## [3392,]  1.730451722  1.7363891678
## [3393,]  1.180213696  1.1823933482
## [3394,]  0.700720559  0.6996255624
## [3395,]  0.315553941  0.3118284887
## [3396,]  1.966268018  1.9738159477
## [3397,]  0.158343077  0.1535439688
## [3398,]  0.394159374  0.3909707486
## [3399,]  0.001132212 -0.0047405512
## [3400,]  0.787186535  0.7866820484
## [3401,]  0.394159374  0.3909707486
## [3402,]  0.881513053  0.8816527603
## [3403,]  0.158343077  0.1535439688
## [3404,]  0.197645793  0.1931150987
## [3405,]  2.351434636  2.3616130215
## [3406,]  1.496207534  1.5005452332
## [3407,] -0.077473220 -0.0838828111
## [3408,] -0.044458938 -0.0506430619
## [3409,]  0.290400203  0.2865029655
## [3410,]  0.944397399  0.9449665683
## [3411,]  0.158343077  0.1535439688
## [3412,] -0.077473220 -0.0838828111
## [3413,]  1.136194654  1.1380736826
## [3414,]  0.787186535  0.7866820484
## [3415,] -0.077473220 -0.0838828111
## [3416,]  0.551370238  0.5492552685
## [3417,]  0.865791967  0.8658243083
## [3418,]  2.316848246  2.3267904271
## [3419,]  0.758888579  0.7581908348
## [3420,]  0.535649152  0.5334268165
## [3421,]  1.970984344  1.9785644833
## [3422,]  0.527788608  0.5255125905
## [3423,]  0.158343077  0.1535439688
## [3424,] -0.046031047 -0.0522259071
## [3425,] -0.013960031 -0.0199358651
## [3426,]  0.475594601  0.4729621299
## [3427,]  1.573240857  1.5781046479
## [3428,]  0.001132212 -0.0047405512
## [3429,]  0.958766472  0.9594337734
## [3430,]  0.001132212 -0.0047405512
## [3431,] -0.061752133 -0.0680543591
## [3432,]  0.562374999  0.5603351849
## [3433,]  0.236948509  0.2326862287
## [3434,]  0.158343077  0.1535439688
## [3435,]  0.299832855  0.2960000367
## [3436,]  0.677138930  0.6758828845
## [3437,]  1.981989105  1.9896443997
## [3438,]  0.449183176  0.4463703306
## [3439,]  0.174064163  0.7565130189
## [3440,]  1.604683030  1.6097615519
## [3441,]  0.001132212 -0.0047405512
## [3442,]  0.218083205  0.2136920863
## [3443,]  1.730451722  1.7363891678
## [3444,]  0.315553941  0.3118284887
## [3445,]  1.533938141  1.5385335180
## [3446,]  0.350140331  0.3466510830
## [3447,]  1.412068279  1.4158313581
## [3448,]  0.155701934  0.1508847888
## [3449,]  0.218083205  0.2136920863
## [3450,]  1.604683030  1.6097615519
## [3451,]  2.351434636  2.3616130215
## [3452,]  1.496207534  1.5005452332
## [3453,]  0.079737645  0.0744017088
## [3454,]  0.276251225  0.2722573587
## [3455,]  0.606394041  0.6046548505
## [3456,]  1.573240857  1.5781046479
## [3457,]  0.158343077  0.1535439688
## [3458,]  0.057728124  0.0522418760
## [3459,]  0.551370238  0.5492552685
## [3460,]  0.953043997  0.9536722169
## [3461,]  0.053011798  0.0474933404
## [3462,]  0.787186535  0.7866820484
## [3463,]  0.001132212 -0.0047405512
## [3464,]  0.181924706  0.1772866467
## [3465,]  0.394159374  0.3909707486
## [3466,] -0.077473220 -0.0838828111
## [3467,]  0.394159374  0.3909707486
## [3468,] -0.018519146 -0.0245261161
## [3469,]  1.023002831  1.0241088283
## [3470,] -0.057035808 -0.0633058235
## [3471,]  0.787186535  1.0389242593
## [3472,]  0.054583906  0.0490761856
## [3473,]  1.730451722  1.7363891678
## [3474,]  0.394159374  0.3909707486
## [3475,]  0.571807650  0.5698322561
## [3476,]  2.988138637  3.0026653271
## [3477,]  0.001132212 -0.0047405512
## [3478,]  0.054583906  0.0490761856
## [3479,]  1.573240857  1.5781046479
## [3480,]  0.394159374  0.3909707486
## [3481,]  0.565519216  0.5635008753
## [3482,]  0.057728124  0.0522418760
## [3483,]  1.533938141  1.5385335180
## [3484,]  0.350140331  0.3466510830
## [3485,]  2.516506044  2.5278117674
## [3486,]  1.400308906  1.4039916760
## [3487,]  0.001132212 -0.0047405512
## [3488,] -0.013394072 -0.0193660408
## [3489,] -0.061752133 -0.0680543591
## [3490,] -0.005156222 -0.0110719320
## [3491,]  1.604683030  1.6097615519
## [3492,]  0.565519216  0.5635008753
## [3493,]  0.001132212 -0.0047405512
## [3494,] -0.077473220 -0.0838828111
## [3495,]  0.001132212 -0.0047405512
## [3496,]  0.802907621  0.8025105004
## [3497,]  1.604683030  1.6097615519
## [3498,]  0.565519216  0.5635008753
## [3499,]  0.787186535  0.7866820484
## [3500,]  0.802907621  0.8025105004
## [3501,]  0.857931424  0.8579100823
## [3502,]  0.079737645  0.0744017088
## [3503,]  0.880255367  0.8803864842
## [3504,]  0.340707680  0.3371540118
## [3505,]  0.064016558  0.0585732568
## [3506,]  0.629975670  0.6283975285
## [3507,]  0.472764806  0.4701130086
## [3508,]  1.970984344  1.9785644833
## [3509,]  0.519928065  0.5175983645
## [3510,]  0.315553941  0.3118284887
## [3511,]  0.064016558  0.0585732568
## [3512,]  0.158343077  0.1535439688
## [3513,]  0.787186535  0.7866820484
## [3514,]  0.394159374  0.3909707486
## [3515,]  0.158343077  0.1535439688
## [3516,]  0.057728124  0.0522418760
## [3517,]  1.180213696  1.1823933482
## [3518,]  0.101747166  0.0965615416
## [3519,]  0.001132212 -0.0047405512
## [3520,]  0.218083205  0.2136920863
## [3521,] -0.077473220 -0.0838828111
## [3522,]  0.857931424  0.8579100823
## [3523,]  0.276251225  0.2722573587
## [3524,]  0.218083205  0.2136920863
## [3525,]  0.079737645  0.0744017088
## [3526,]  1.573240857  1.5781046479
## [3527,]  0.787186535  0.7866820484
## [3528,]  1.730451722  1.7363891678
## [3529,]  0.567091324  0.5650837205
## [3530,]  0.158343077  0.1535439688
## [3531,]  0.787186535  0.7866820484
## [3532,]  0.001132212 -0.0047405512
## [3533,]  0.001132212 -0.0047405512
## [3534,]  0.551370238  0.5492552685
## [3535,]  0.394159374  0.3909707486
## [3536,]  0.001132212 -0.0047405512
## [3537,]  0.236948509  0.2326862287
## [3538,]  1.101608264  1.1032510882
## [3539,]  0.857931424  0.8579100823
## [3540,]  0.787186535  0.7866820484
## [3541,]  0.394159374  0.3909707486
## [3542,]  0.565519216  0.5635008753
## [3543,]  0.565519216  0.5635008753
## [3544,]  0.857931424  0.8579100823
## [3545,]  0.475594601  0.4729621299
## [3546,]  0.054583906  0.0490761856
## [3547,]  2.516506044  2.5278117674
## [3548,]  1.400308906  1.4039916760
## [3549,]  0.038548398  0.0329311646
## [3550,]  0.565519216  0.5635008753
## [3551,]  1.533938141  1.5385335180
## [3552,]  0.350140331  0.3466510830
## [3553,]  0.290400203  0.2865029655
## [3554,]  0.661417843  0.6600544325
## [3555,]  1.966268018  1.9738159477
## [3556,]  0.378438287  0.3751422966
## [3557,]  0.323414485  0.3197427147
## [3558,] -0.283435173  0.1897594669
## [3559,]  0.057728124  0.0522418760
## [3560,]  0.472371779  0.4697172973
## [3561,] -0.013394072 -0.0193660408
## [3562,]  0.299832855  0.2960000367
## [3563,]  0.394159374  0.3909707486
## [3564,]  1.258819128  1.2615356081
## [3565,]  0.472764806  0.4701130086
## [3566,]  0.057728124  0.0522418760
## [3567,]  0.880255367  0.8803864842
## [3568,]  0.340707680  0.3371540118
## [3569,]  0.236948509  0.2326862287
## [3570,]  1.809057154  1.8155314278
## [3571,]  0.551370238  0.5492552685
## [3572,]  0.284111768  0.2801715847
## [3573,] -0.044458938 -0.0506430619
## [3574,]  0.277508912  0.2735236348
## [3575,]  0.818628708  0.8183389524
## [3576,]  0.218083205  0.2136920863
## [3577,]  0.218083205  0.2136920863
## [3578,]  1.258819128  1.2615356081
## [3579,] -0.030309961 -0.0363974551
## [3580,]  1.871941500  1.8788452358
## [3581,]  0.126900904  0.1218870648
## [3582,]  0.740023275  0.7391966924
## [3583,]  0.001132212 -0.0047405512
## [3584,]  2.202084315  2.2112427276
## [3585,]  0.944397399  0.9449665683
## [3586,]  0.661417843  0.6600544325
## [3587,]  0.359572983  0.3561481542
## [3588,]  2.363068240  2.3733260760
## [3589,]  0.789701909  0.7892146007
## [3590,]  2.363068240  2.3733260760
## [3591,]  0.789701909  0.7892146007
## [3592,]  0.394159374  0.3909707486
## [3593,]  0.299832855  0.2960000367
## [3594,]  3.459771231  3.4775188868
## [3595,]  1.494635425  1.4989623880
## [3596,]  2.725596494  2.7383301789
## [3597,]  0.546653912  0.5445067329
## [3598,]  0.567091324  0.5650837205
## [3599,]  0.049678927  0.0441377086
## [3600,]  0.629975670  0.6283975285
## [3601,]  0.158343077  0.1535439688
## [3602,]  0.787186535  0.7866820484
## [3603,]  0.001132212 -0.0047405512
## [3604,]  0.629975670  0.6283975285
## [3605,]  0.524801602  0.5225051847
## [3606,]  1.416029993  1.4198201280
## [3607,]  0.472764806  0.4701130086
## [3608,]  0.787186535  0.7866820484
## [3609,]  0.001132212 -0.0047405512
## [3610,]  2.351434636  2.3616130215
## [3611,]  1.496207534  1.5005452332
## [3612,] -0.093194306 -0.0997112631
## [3613,] -0.022449417 -0.0284832291
## [3614,]  1.227376955  1.2298787041
## [3615,]  0.472764806  0.4701130086
## [3616,]  0.472764806  0.4701130086
## [3617,]  0.158343077  0.1535439688
## [3618,]  1.919104759  1.9263305917
## [3619,]  0.315553941  0.3118284887
## [3620,]  1.714730635  1.7205607159
## [3621,] -0.061752133 -0.0680543591
## [3622,]  0.787186535  0.7866820484
## [3623,]  0.158343077  0.1535439688
## [3624,]  2.516506044  2.5278117674
## [3625,]  1.400308906  1.4039916760
## [3626,]  0.079737645  0.0744017088
## [3627,]  1.714730635  1.7205607159
## [3628,] -0.061752133 -0.0680543591
## [3629,]  1.533938141  1.5385335180
## [3630,]  0.350140331  0.3466510830
## [3631,]  1.180213696  1.1823933482
## [3632,]  0.101747166  0.0965615416
## [3633,]  0.565519216  0.5635008753
## [3634,]  0.299832855  0.2960000367
## [3635,]  2.170642142  2.1795858236
## [3636,]  2.170642142  2.1795858236
## [3637,]  1.023788886  1.0249002509
## [3638,]  0.101747166  0.0965615416
## [3639,]  0.755744362  0.7550251444
## [3640,]  0.857931424  0.8579100823
## [3641,]  0.933392639  0.9338866519
## [3642,]  0.507351196  0.5049356030
## [3643,] -0.044458938 -0.0506430619
## [3644,]  1.258819128  1.2615356081
## [3645,]  0.315553941  0.3118284887
## [3646,]  1.211655869  1.2140502521
## [3647,]  0.472764806  0.4701130086
## [3648,]  0.158343077  0.1535439688
## [3649,]  0.472764806  0.4701130086
## [3650,]  0.158343077  0.1535439688
## [3651,]  0.472764806  0.4701130086
## [3652,]  1.206939543  1.2093017165
## [3653,]  1.604683030  1.6097615519
## [3654,] -0.391910670  0.0553917380
## [3655,]  1.573240857  1.5781046479
## [3656,]  0.197645793  0.1931150987
## [3657,]  0.057728124  0.0522418760
## [3658,]  0.236948509  0.2326862287
## [3659,]  0.277508912  0.2735236348
## [3660,]  1.573240857  1.5781046479
## [3661,]  1.632194931  1.6374613429
## [3662,]  0.302977072  0.2991657271
## [3663,]  1.632194931  1.6374613429
## [3664,]  0.302977072  0.2991657271
## [3665,]  0.315553941  0.3118284887
## [3666,]  1.000678889  1.0016324264
## [3667,]  0.215332015  0.2109221072
## [3668,]  3.538376663  3.5566611468
## [3669,]  1.101608264  1.1032510882
## [3670,]  0.315553941  0.3118284887
## [3671,]  1.337424560  1.3406778681
## [3672,]  0.944397399  0.9449665683
## [3673,]  0.472764806  0.4701130086
## [3674,]  0.787186535  0.7866820484
## [3675,]  1.278470486  1.2813211731
## [3676,]  2.112631333  2.1211788357
## [3677,]  0.049710369  0.0441693655
## [3678,]  0.158343077  0.1535439688
## [3679,]  1.194362674  1.1966389550
## [3680,]  0.101747166  0.0965615416
## [3681,]  1.573240857  1.5781046479
## [3682,]  0.197645793  0.1931150987
## [3683,]  2.646991062  2.6591879189
## [3684,]  0.611110367  0.6094033861
## [3685,]  3.695587528  3.7149456667
## [3686,] -0.077473220 -0.0838828111
## [3687,]  0.475594601  0.4729621299
## [3688,]  1.445444145  1.4494351617
## [3689,]  0.315553941  0.3118284887
## [3690,]  0.958766472  0.9594337734
## [3691,]  0.669278386  0.6679686585
## [3692,] -0.013394072 -0.0193660408
## [3693,]  0.394159374  0.3909707486
## [3694,] -0.018519146 -0.0245261161
## [3695,]  3.459771231  3.4775188868
## [3696,]  0.787186535  0.7866820484
## [3697,]  1.337424560  1.3406778681
## [3698,]  0.551370238  0.5492552685
## [3699,]  1.040296027  1.0415201254
## [3700,] -0.470500381 -0.0419690702
## [3701,]  2.107757796  2.1162720156
## [3702,]  1.353145647  1.3565063201
## [3703,]  1.543370793  1.5480305892
## [3704,] -0.063324242 -0.0696372043
## [3705,]  0.093100568  0.0878558930
## [3706,]  0.023298944  0.0175775662
## [3707,]  1.573240857  1.5781046479
## [3708,]  0.197645793  0.1931150987
## [3709,]  0.551370238  0.5492552685
## [3710,]  0.472764806  0.4701130086
## [3711,]  0.079737645  0.0744017088
## [3712,]  0.857931424  0.8579100823
## [3713,]  1.206939543  1.2093017165
## [3714,]  1.180213696  1.1823933482
## [3715,]  0.101747166  0.0965615416
## [3716,]  0.218083205  0.2136920863
## [3717,]  0.218083205  0.2136920863
## [3718,]  1.101608264  1.1032510882
## [3719,]  0.001132212 -0.0047405512
## [3720,] -0.077473220 -0.0838828111
## [3721,]  0.857931424  0.8579100823
## [3722,]  0.197645793  0.1931150987
## [3723,]  0.001132212 -0.0047405512
## [3724,]  0.394159374  0.3909707486
## [3725,]  1.206939543  1.2093017165
## [3726,]  1.604683030  1.6097615519
## [3727,]  0.001132212 -0.0047405512
## [3728,]  1.604683030  1.6097615519
## [3729,]  1.180213696  1.1823933482
## [3730,]  0.101747166  0.0965615416
## [3731,]  1.809057154  1.8155314278
## [3732,]  0.515997793  0.5136412515
## [3733,]  0.057728124  0.0522418760
## [3734,]  2.580962498  2.5927084206
## [3735,]  0.721157972  0.7202025500
## [3736,]  0.865791967  0.8658243083
## [3737,]  0.472764806  0.4701130086
## [3738,]  0.236948509  0.2326862287
## [3739,] -0.093194306 -0.0997112631
## [3740,]  0.158343077  0.1535439688
## [3741,]  0.787186535  0.7866820484
## [3742,] -0.077473220 -0.0838828111
## [3743,]  0.001132212 -0.0047405512
## [3744,]  0.771465448  0.7708535964
## [3745,]  0.475594601  0.4729621299
## [3746,]  0.158343077  0.1535439688
## [3747,]  0.519928065  0.5175983645
## [3748,]  1.101608264  1.1032510882
## [3749,]  0.001132212 -0.0047405512
## [3750,]  3.145349502  3.1609498470
## [3751,]  1.769754438  1.7759602978
## [3752,]  1.981989105  1.9896443997
## [3753,]  0.535649152  0.5334268165
## [3754,]  2.516506044  2.5278117674
## [3755,]  1.400308906  1.4039916760
## [3756,]  1.180213696  1.1823933482
## [3757,]  0.101747166  0.0965615416
## [3758,]  0.472764806  0.4701130086
## [3759,]  0.001132212 -0.0047405512
## [3760,]  1.227376955  1.2298787041
## [3761,]  0.032574385  0.0269163528
## [3762,]  0.935750802  0.9362609197
## [3763,]  0.137544079  0.1326029268
## [3764,]  0.394159374  0.3909707486
## [3765,] -0.077473220 -0.0838828111
## [3766,]  1.416029993  1.4198201280
## [3767,]  0.315553941  0.3118284887
## [3768,]  0.079737645  0.0744017088
## [3769,]  1.368866733  1.3723347721
## [3770,] -0.077473220 -0.0838828111
## [3771,]  1.416029993  1.4198201280
## [3772,]  0.386298830  0.3830565226
## [3773,]  0.158343077  0.1535439688
## [3774,]  0.236948509  0.2326862287
## [3775,]  2.359295180  2.3695272475
## [3776,]  2.136055752  2.1447632292
## [3777,]  0.073449210  0.0680703280
## [3778,]  1.101608264  1.1032510882
## [3779,]  0.708581102  0.7075397884
## [3780,]  0.290400203  0.2865029655
## [3781,]  0.881513053  0.8816527603
## [3782,]  0.158343077  0.1535439688
## [3783,]  0.787186535  0.7866820484
## [3784,]  0.394159374  0.3909707486
## [3785,]  1.278470486  1.2813211731
## [3786,]  0.048295472  0.0427448048
## [3787,]  1.423890536  1.4277343540
## [3788,]  0.158343077  0.1535439688
## [3789,]  1.970984344  1.9785644833
## [3790,]  0.527788608  0.5255125905
## [3791,]  1.970984344  1.9785644833
## [3792,]  0.527788608  0.5255125905
## [3793,]  0.158343077  0.1535439688
## [3794,]  0.315553941  0.3118284887
## [3795,]  1.180213696  1.1823933482
## [3796,]  0.001132212 -0.0047405512
## [3797,]  1.101608264  1.1032510882
## [3798,]  0.158343077  0.1535439688
## [3799,]  0.875224619  0.8753213795
## [3800,]  0.565519216  0.5635008753
## [3801,]  0.158343077  0.1535439688
## [3802,]  1.573240857  1.5781046479
## [3803,]  0.394159374  0.3909707486
## [3804,]  0.787186535  0.7866820484
## [3805,]  1.604683030  1.6097615519
## [3806,]  0.001132212 -0.0047405512
## [3807,]  1.206939543  1.2093017165
## [3808,]  0.629975670  0.6283975285
## [3809,]  0.236948509  0.2326862287
## [3810,]  0.315553941  0.3118284887
## [3811,]  0.001132212 -0.0047405512
## [3812,]  0.001132212 -0.0047405512
## [3813,]  1.180213696  1.1823933482
## [3814,]  0.101747166  0.0965615416
## [3815,]  0.787186535  0.7866820484
## [3816,]  1.683288462  1.6889038119
## [3817,]  0.875224619  0.8753213795
## [3818,]  2.351434636  2.3616130215
## [3819,]  1.496207534  1.5005452332
## [3820,]  0.944397399  0.9449665683
## [3821,]  0.029430168  0.0237506624
## [3822,]  0.158343077  0.1535439688
## [3823,]  1.573240857  1.5781046479
## [3824,]  1.368866733  1.3723347721
## [3825,] -0.077473220 -0.0838828111
## [3826,]  0.386298830  0.3830565226
## [3827,]  0.524801602  0.5225051847
## [3828,]  0.524801602  0.5225051847
## [3829,] -0.077473220 -0.0838828111
## [3830,]  0.944397399  0.9449665683
## [3831,]  0.551370238  0.5492552685
## [3832,]  0.386298830  0.3830565226
## [3833,]  1.101608264  1.1032510882
## [3834,] -0.061752133 -0.0680543591
## [3835,]  2.359295180  2.3695272475
## [3836,] -0.077473220 -0.0838828111
## [3837,]  0.504206979  0.5017699126
## [3838,]  2.359295180  2.3695272475
## [3839,]  0.787186535  0.7866820484
## [3840,]  1.604683030  1.6097615519
## [3841,]  0.284111768  0.2801715847
## [3842,]  0.054583906  0.0490761856
## [3843,]  0.551370238  0.5492552685
## [3844,]  0.158343077  0.1535439688
## [3845,]  0.865791967  0.8658243083
## [3846,]  0.551370238  0.5492552685
## [3847,]  0.857931424  0.8579100823
## [3848,] -0.077473220 -0.0838828111
## [3849,]  1.323275583  1.3264322613
## [3850,]  0.842210337  0.8420816304
## [3851,]  1.161348392  1.1633992058
## [3852,]  0.348568223  0.3450682378
## [3853,]  0.472764806  0.4701130086
## [3854,]  0.001132212 -0.0047405512
## [3855,]  1.293405518  1.2963582025
## [3856,]  0.271534899  0.2675088231
## [3857,]  0.740023275  0.7391966924
## [3858,]  0.472764806  0.4701130086
## [3859,] -0.077473220 -0.0838828111
## [3860,]  1.180213696  1.1823933482
## [3861,]  0.787186535  0.7866820484
## [3862,]  0.315553941  0.3118284887
## [3863,]  2.225665945  2.2349854056
## [3864,]  0.472764806  0.4701130086
## [3865,]  0.727446406  0.7265339308
## [3866,]  0.015281190  0.0095050556
## [3867,]  0.290400203  0.2865029655
## [3868,]  0.897234140  0.8974812123
## [3869,]  0.268390682  0.2643431327
## [3870,] -0.077473220 -0.0838828111
## [3871,]  0.472764806  0.4701130086
## [3872,]  0.001132212 -0.0047405512
## [3873,]  2.316848246  2.3267904271
## [3874,]  0.758888579  0.7581908348
## [3875,]  2.316848246  2.3267904271
## [3876,]  0.758888579  0.7581908348
## [3877,]  0.818628708  0.8183389524
## [3878,]  1.085887177  1.0874226362
## [3879,]  1.258819128  1.2615356081
## [3880,]  0.724302189  0.7233682404
## [3881,]  0.001132212 -0.0047405512
## [3882,]  0.158343077  0.1535439688
## [3883,]  0.565519216  0.5635008753
## [3884,]  0.315553941  0.3118284887
## [3885,]  0.001132212 -0.0047405512
## [3886,]  0.394159374  0.3909707486
## [3887,]  1.423890536  1.4277343540
## [3888,]  0.590672954  0.5888263985
## [3889,]  0.236948509  0.2326862287
## [3890,]  0.944397399  0.9449665683
## [3891,]  0.248739324  0.2445575677
## [3892,]  1.180213696  1.1823933482
## [3893,]  0.248739324  0.2445575677
## [3894,]  1.966268018  1.9738159477
## [3895,]  0.394159374  0.3909707486
## [3896,]  0.315553941  0.3118284887
## [3897,]  0.399001468  0.3958459118
## [3898,]  1.337424560  1.3406778681
## [3899,]  2.516506044  2.5278117674
## [3900,]  1.243098042  1.2457071561
## [3901,]  2.187558031  2.1966172379
## [3902,]  0.824178251  0.8239263959
## [3903,]  1.206939543  1.2093017165
## [3904,]  1.278470486  1.2813211731
## [3905,]  0.771465448  0.7708535964
## [3906,]  0.189785250  0.1852008727
## [3907,]  0.158343077  0.1535439688
## [3908,]  0.787186535  0.7866820484
## [3909,]  0.001132212 -0.0047405512
## [3910,]  0.158343077  0.1535439688
## [3911,]  1.573240857  1.5781046479
## [3912,]  0.787186535  0.7866820484
## [3913,]  0.001132212 -0.0047405512
## [3914,]  0.001132212 -0.0047405512
## [3915,]  1.927751357  1.9350362403
## [3916,]  0.758888579  0.7581908348
## [3917,]  0.504206979  0.5017699126
## [3918,]  0.787186535  0.7866820484
## [3919,]  0.158343077  0.1535439688
## [3920,]  0.857931424  0.8579100823
## [3921,]  0.590672954  0.5888263985
## [3922,]  0.394159374  0.3909707486
## [3923,]  0.857931424  0.8579100823
## [3924,]  0.079737645  0.0744017088
## [3925,]  1.337424560  1.3406778681
## [3926,]  0.551370238  0.5492552685
## [3927,]  0.386298830  0.3830565226
## [3928,] -0.107343284 -0.1139568699
## [3929,]  0.535649152  0.5334268165
## [3930,]  0.386298830  0.3830565226
## [3931,]  0.481568614  0.4789769417
## [3932,]  1.543370793  1.5480305892
## [3933,] -0.063324242 -0.0696372043
## [3934,]  2.225665945  2.2349854056
## [3935,]  0.472764806  0.4701130086
## [3936,]  0.186641032  0.1820351823
## [3937,]  0.252669595  0.2485146807
## [3938,]  0.315553941  0.3118284887
## [3939,]  0.158343077  0.1535439688
## [3940,]  1.353145647  1.3565063201
## [3941,]  0.504206979  0.5017699126
## [3942,]  0.001132212 -0.0047405512
## [3943,]  1.754033351  1.7601318458
## [3944,]  0.158343077  0.1535439688
## [3945,]  0.394159374  0.3909707486
## [3946,]  0.079737645  0.0744017088
## [3947,]  0.057728124  0.0522418760
## [3948,]  0.001132212 -0.0047405512
## [3949,]  0.315553941  0.3118284887
## [3950,] -0.077473220 -0.0838828111
## [3951,] -0.077473220 -0.0838828111
## [3952,]  0.394159374  0.3909707486
## [3953,] -0.077473220 -0.0838828111
## [3954,]  0.001132212 -0.0047405512
## [3955,]  0.001132212 -0.0047405512
## [3956,]  0.001132212 -0.0047405512
## [3957,]  1.730451722  1.7363891678
## [3958,]  0.394159374  0.3909707486
## [3959,]  1.573240857  1.5781046479
## [3960,]  0.944397399  0.9449665683
## [3961,]  0.158343077  0.1535439688
## [3962,]  1.927751357  1.9350362403
## [3963,]  0.758888579  0.7581908348
## [3964,]  1.101608264  1.1032510882
## [3965,] -0.061752133 -0.0680543591
## [3966,]  0.001132212 -0.0047405512
## [3967,]  1.548087119  1.5527791248
## [3968,]  0.529360717  0.5270954357
## [3969,]  0.001132212 -0.0047405512
## [3970,]  0.001132212 -0.0047405512
## [3971,]  0.158343077  0.1535439688
## [3972,]  1.038723918  1.0399372802
## [3973,] -0.093194306 -0.0997112631
## [3974,] -0.014588874 -0.0205690031
## [3975,]  0.001132212 -0.0047405512
## [3976,]  1.510356511  1.5147908400
## [3977,]  0.802907621  0.8025105004
## [3978,]  0.629975670  0.6283975285
## [3979,]  0.079737645  0.0744017088
## [3980,]  1.337424560  1.3406778681
## [3981,]  0.551370238  0.5492552685
## [3982,]  0.629975670  0.6283975285
## [3983,]  0.158343077  0.1535439688
## [3984,]  0.857931424  0.8579100823
## [3985,]  0.661417843  0.6600544325
## [3986,]  0.221227423  0.2168577767
## [3987,]  0.565519216  0.5635008753
## [3988,]  0.394159374  0.3909707486
## [3989,]  0.276251225  0.2722573587
## [3990,]  0.535649152  0.5334268165
## [3991,] -0.077473220 -0.0838828111
## [3992,]  0.394159374  0.3909707486
## [3993,]  0.394159374  0.3909707486
## [3994,]  0.787186535  0.7866820484
## [3995,] -0.077473220 -0.0838828111
## [3996,] -0.077473220 -0.0838828111
## [3997,]  0.661417843  0.6600544325
## [3998,]  0.221227423  0.2168577767
## [3999,]  2.516506044  2.5278117674
## [4000,]  1.400308906  1.4039916760
## [4001,] -0.077473220 -0.0838828111
## [4002,]  0.158343077  0.1535439688
## [4003,]  0.629975670  0.6283975285
## [4004,]  0.001132212 -0.0047405512
## [4005,]  0.001132212 -0.0047405512
## [4006,]  0.394159374  0.3909707486
## [4007,]  1.565380314  1.5701904219
## [4008,] -0.001225951 -0.0071148190
## [4009,]  1.565380314  1.5701904219
## [4010,] -0.001225951 -0.0071148190
## [4011,]  1.565380314  1.5701904219
## [4012,] -0.001225951 -0.0071148190
## [4013,]  0.629975670  0.6283975285
## [4014,]  0.944397399  0.9449665683
## [4015,]  0.001132212 -0.0047405512
## [4016,]  0.944397399  0.9449665683
## [4017,]  0.001132212 -0.0047405512
## [4018,]  0.944397399  0.9449665683
## [4019,]  0.515997793  0.5136412515
## [4020,]  0.181924706  0.1772866467
## [4021,]  0.944397399  0.9449665683
## [4022,]  0.001132212 -0.0047405512
## [4023,]  0.768321231  0.7676879060
## [4024,]  0.001132212 -0.0047405512
## [4025,]  0.158343077  0.1535439688
## [4026,]  1.038723918  1.0399372802
## [4027,] -0.093194306 -0.0997112631
## [4028,]  0.142621990  0.1377155168
## [4029,]  1.023002831  1.0241088283
## [4030,]  0.001132212 -0.0047405512
## [4031,]  1.510356511  1.5147908400
## [4032,]  0.802907621  0.8025105004
## [4033,]  0.582812411  0.5809121725
## [4034,]  0.048295472  0.0427448048
## [4035,]  1.651846289  1.6572469079
## [4036,]  0.551370238  0.5492552685
## [4037,]  3.145349502  4.4425321194
## [4038,]  0.299832855  0.2960000367
## [4039,]  0.263674356  0.2595945971
## [4040,]  0.787186535  0.7866820484
## [4041,]  1.101608264  1.1032510882
## [4042,] -0.061752133 -0.0680543591
## [4043,]  0.001132212 -0.0047405512
## [4044,]  0.629975670  0.6283975285
## [4045,]  0.362717201  0.3593138446
## [4046,]  0.661417843  0.6600544325
## [4047,]  0.629975670  0.6283975285
## [4048,]  0.692860016  0.6917113364
## [4049,]  0.802907621  0.8025105004
## [4050,]  0.236948509  0.2326862287
## [4051,]  1.258819128  1.2615356081
## [4052,]  0.724302189  0.7233682404
## [4053,]  0.001132212 -0.0047405512
## [4054,]  1.258819128  1.2615356081
## [4055,]  0.001132212 -0.0047405512
## [4056,]  0.057728124  0.0522418760
## [4057,]  1.038723918  1.0399372802
## [4058,] -0.093194306 -0.0997112631
## [4059,]  0.472764806  0.4701130086
## [4060,]  0.158343077  0.1535439688
## [4061,]  0.669278386  0.6679686585
## [4062,]  0.040434928  0.0348305788
## [4063,]  0.453113448  0.4503274436
## [4064,]  0.158343077  0.1535439688
## [4065,]  0.236948509  0.2326862287
## [4066,]  0.315553941  0.3118284887
## [4067,]  0.842210337  0.8420816304
## [4068,]  0.032574385  0.0269163528
## [4069,]  0.746783343  0.7460029268
## [4070,]  0.740023275  0.7391966924
## [4071,]  1.101608264  1.1032510882
## [4072,]  0.189785250  0.1852008727
## [4073,] -0.013960031 -0.0199358651
## [4074,]  0.331275028  0.3276569407
## [4075,]  0.565519216  0.5635008753
## [4076,]  0.001132212 -0.0047405512
## [4077,]  1.258819128  1.2615356081
## [4078,]  0.073449210  0.0680703280
## [4079,]  0.857931424  0.8579100823
## [4080,]  0.158343077  0.1535439688
## [4081,]  0.991560659  0.9924519243
## [4082,]  0.032574385  0.0269163528
## [4083,]  1.214800086  1.2172159425
## [4084,]  0.284111768  0.2801715847
## [4085,]  1.463193252  1.4673054840
## [4086,]  0.519928065  0.5175983645
## [4087,]  0.394159374  0.3909707486
## [4088,]  0.001132212 -0.0047405512
## [4089,]  0.236948509  0.2326862287
## [4090,]  0.441322633  0.4384561046
## [4091,]  2.359295180  2.3695272475
## [4092,]  0.299832855  0.2960000367
## [4093,]  0.692860016  0.6917113364
## [4094,]  0.629975670  0.6283975285
## [4095,]  0.626045399  0.6244404155
## [4096,]  0.158343077  0.1535439688
## [4097,]  1.573240857  1.5781046479
## [4098,]  0.001132212 -0.0047405512
## [4099,]  0.881513053  0.8816527603
## [4100,]  0.158343077  0.1535439688
## [4101,]  0.158343077  0.1535439688
## [4102,]  0.001132212 -0.0047405512
## [4103,]  0.648840974  0.6473916709
## [4104,]  0.648840974  0.6473916709
## [4105,]  1.258819128  1.2615356081
## [4106,]  0.073449210  0.0680703280
## [4107,]  0.299832855  0.2960000367
## [4108,]  0.565519216  0.5635008753
## [4109,]  0.079737645  0.0744017088
## [4110,]  0.865791967  0.8658243083
## [4111,]  0.001132212 -0.0047405512
## [4112,]  0.464904263  0.4621987826
## [4113,]  0.472764806  0.4701130086
## [4114,]  0.565519216  0.5635008753
## [4115,]  0.394159374  0.3909707486
## [4116,] -0.077473220 -0.0838828111
## [4117,]  1.337424560  1.3406778681
## [4118,]  0.394159374  0.3909707486
## [4119,]  0.158343077  0.1535439688
## [4120,] -0.077473220 -0.0838828111
## [4121,]  0.236948509  0.2326862287
## [4122,]  0.290400203  0.2865029655
## [4123,]  0.787186535  0.7866820484
## [4124,]  0.158343077  0.1535439688
## [4125,]  0.768321231  0.7676879060
## [4126,]  0.236948509  0.2326862287
## [4127,] -0.030309961 -0.0363974551
## [4128,]  0.001132212 -0.0047405512
## [4129,]  0.158343077  0.1535439688
## [4130,]  0.057728124  0.0522418760
## [4131,]  2.516506044  2.5278117674
## [4132,]  1.400308906  1.4039916760
## [4133,]  2.351434636  2.3616130215
## [4134,]  1.496207534  1.5005452332
## [4135,]  0.284111768  0.2801715847
## [4136,]  0.174064163  0.1693724207
## [4137,]  0.865791967  0.8658243083
## [4138,]  0.535649152  0.5334268165
## [4139,]  0.565519216  0.5635008753
## [4140,]  1.533938141  1.5385335180
## [4141,]  0.350140331  0.3466510830
## [4142,]  0.425601546  0.4226276526
## [4143,]  0.865791967  0.8658243083
## [4144,]  0.535649152  0.5334268165
## [4145,] -0.061752133 -0.0680543591
## [4146,]  0.299832855  0.2960000367
## [4147,]  1.258819128  1.2615356081
## [4148,]  0.724302189  0.7233682404
## [4149,]  0.394159374  0.3909707486
## [4150,]  1.278470486  1.2813211731
## [4151,]  0.688929744  0.6877542234
## [4152,]  1.278470486  1.2813211731
## [4153,]  1.278470486  1.2813211731
## [4154,]  1.278470486  1.2813211731
## [4155,]  0.688929744  0.6877542234
## [4156,]  0.912955226  0.9133096643
## [4157,]  2.359295180  2.3695272475
## [4158,]  0.724302189  0.7233682404
## [4159,]  0.857931424  0.8579100823
## [4160,]  0.565519216  0.5635008753
## [4161,]  0.857931424  0.8579100823
## [4162,]  0.865791967  0.8658243083
## [4163,]  0.551370238  0.5492552685
## [4164,]  0.565519216  0.5635008753
## [4165,]  1.533938141  1.5385335180
## [4166,]  0.350140331  0.3466510830
## [4167,]  0.158343077  0.1535439688
## [4168,]  0.001132212 -0.0047405512
## [4169,]  0.565519216  0.5635008753
## [4170,]  0.865791967  0.8658243083
## [4171,]  0.535649152  0.5334268165
## [4172,]  3.538376663  3.5566611468
## [4173,]  0.648840974  0.6473916709
## [4174,]  1.180213696  1.1823933482
## [4175,]  0.101747166  0.0965615416
## [4176,]  0.299832855  0.2960000367
## [4177,]  0.857931424  0.8579100823
## [4178,]  0.565519216  0.5635008753
## [4179,]  3.145349502  3.1609498470
## [4180,]  0.802907621  0.8025105004
## [4181,]  0.394159374  0.3909707486
## [4182,]  0.001132212 -0.0047405512
## [4183,]  0.072820367  0.0674371899
## [4184,]  0.315553941  0.3118284887
## [4185,] -0.077473220 -0.0838828111
## [4186,]  1.533938141  1.5385335180
## [4187,]  0.350140331  0.3466510830
## [4188,]  0.433462090  0.4305418786
## [4189,]  0.565519216  0.5635008753
## [4190,]  0.670284536  0.6689816794
## [4191,] -0.079768499 -0.0861937651
## [4192,]  0.461838651  0.4591122344
## [4193,]  2.595111476  2.6069540273
## [4194,]  1.180213696  1.1823933482
## [4195,]  1.477342230  1.4815510908
## [4196,]  0.104891383  0.0997272320
## [4197,]  0.881513053  0.8816527603
## [4198,]  0.158343077  0.1535439688
## [4199,]  0.158343077  0.1535439688
## [4200,]  0.512067522  0.5096841386
## [4201,]  0.158343077  0.1535439688
## [4202,]  0.944397399  0.9449665683
## [4203,]  0.315553941  0.3118284887
## [4204,]  1.533938141  1.5385335180
## [4205,]  0.350140331  0.3466510830
## [4206,]  1.180213696  1.1823933482
## [4207,]  0.537221260  0.5350096617
## [4208,]  0.174064163  0.1693724207
## [4209,]  0.865791967  0.8658243083
## [4210,]  0.158343077  0.1535439688
## [4211,]  0.299832855  0.2960000367
## [4212,]  0.158343077  0.1535439688
## [4213,]  1.494635425  1.4989623880
## [4214,]  0.472764806  0.4701130086
## [4215,]  1.101608264  1.1032510882
## [4216,]  0.001132212 -0.0047405512
## [4217,]  0.762661640  0.7619896633
## [4218,] -0.093194306 -0.0997112631
## [4219,]  1.416029993  1.4198201280
## [4220,]  0.315553941  0.3118284887
## [4221,]  0.762661640  0.7619896633
## [4222,] -0.093194306 -0.0997112631
## [4223,]  0.001132212 -0.0047405512
## [4224,]  0.585956628  0.5840778629
## [4225,]  0.001132212 -0.0047405512
## [4226,]  1.966268018  1.9738159477
## [4227,]  0.252669595  0.2485146807
## [4228,]  0.153611030  0.1487796047
## [4229,]  0.263674356  0.2595945971
## [4230,]  1.353145647  1.3565063201
## [4231,]  0.504206979  0.5017699126
## [4232,]  0.472764806  0.4701130086
## [4233,]  1.180213696  1.1823933482
## [4234,]  0.101747166  0.0965615416
## [4235,]  0.857931424  0.8579100823
## [4236,]  1.416029993  1.4198201280
## [4237,]  2.359295180  2.3695272475
## [4238,]  0.708581102  0.7075397884
## [4239,]  0.394159374  0.3909707486
## [4240,]  0.079737645  0.0744017088
## [4241,]  0.315553941  0.3118284887
## [4242,]  0.001132212 -0.0047405512
## [4243,]  0.472764806  0.4701130086
## [4244,]  0.787186535  0.7866820484
## [4245,]  0.158343077  0.1535439688
## [4246,]  0.944397399  0.9449665683
## [4247,]  0.472764806  0.4701130086
## [4248,]  1.730451722  1.7363891678
## [4249,]  0.472764806  0.4701130086
## [4250,]  0.944397399  0.9449665683
## [4251,]  0.111179817  0.1060586128
## [4252,]  0.472764806  0.4701130086
## [4253,]  0.394159374  0.3909707486
## [4254,]  0.331275028  0.3276569407
## [4255,]  0.831205577  0.8310017140
## [4256,]  0.740023275  0.7391966924
## [4257,]  0.158343077  0.1535439688
## [4258,]  0.565519216  0.5635008753
## [4259,]  0.315553941  0.3118284887
## [4260,]  0.001132212 -0.0047405512
## [4261,]  3.076176722  3.0913046583
## [4262,]  1.265107563  1.2678669889
## [4263,] -0.077473220 -0.0838828111
## [4264,]  0.409094406  0.4060077780
## [4265,]  0.875224619  0.8753213795
## [4266,]  1.362578299  1.3660033913
## [4267,]  0.787186535  0.7866820484
## [4268,]  0.236948509  0.2326862287
## [4269,]  0.565519216  0.5635008753
## [4270,]  0.299832855  0.2960000367
## [4271,]  1.180213696  1.1823933482
## [4272,]  0.537221260  0.5350096617
## [4273,]  0.565519216  0.5635008753
## [4274,]  1.180213696  1.1823933482
## [4275,]  0.101747166  0.0965615416
## [4276,]  0.565519216  0.5635008753
## [4277,]  0.079737645  0.0744017088
## [4278,]  0.079737645  0.0744017088
## [4279,]  0.057728124  0.0522418760
## [4280,]  0.551370238  0.5492552685
## [4281,]  0.565519216  0.5635008753
## [4282,]  0.079737645  0.0744017088
## [4283,]  0.284111768  0.2801715847
## [4284,]  0.565519216  0.5635008753
## [4285,]  0.648840974  0.6473916709
## [4286,]  0.299832855  0.2960000367
## [4287,]  0.001132212 -0.0047405512
## [4288,]  0.565519216  0.5635008753
## [4289,]  0.551370238  0.5492552685
## [4290,]  0.565519216  0.5635008753
## [4291,]  1.180213696  1.1823933482
## [4292,]  0.101747166  0.0965615416
## [4293,]  0.787186535  0.7866820484
## [4294,]  0.394159374  0.3909707486
## [4295,]  0.565519216  0.5635008753
## [4296,] -0.022449417 -0.0284832291
## [4297,]  1.180213696  1.1823933482
## [4298,]  0.551370238  0.5492552685
## [4299,]  0.944397399  0.1742950693
## [4300,] -0.090050089 -0.0965455727
## [4301,]  0.315553941  0.3118284887
## [4302,]  0.001132212 -0.0047405512
## [4303,]  0.472764806  0.4701130086
## [4304,]  0.158343077  0.1535439688
## [4305,]  0.787186535  0.7866820484
## [4306,]  0.001132212 -0.0047405512
## [4307,]  0.609538258  0.6078205409
## [4308,]  0.164552906  0.1597962073
## [4309,]  2.359295180  2.3695272475
## [4310,]  1.180213696  1.1823933482
## [4311,]  0.762661640  0.7619896633
## [4312,] -0.093194306 -0.0997112631
## [4313,]  0.653164273  0.6517444952
## [4314,]  0.109104634  0.1039692571
## [4315,]  0.787186535  0.7866820484
## [4316,]  0.762661640  0.7619896633
## [4317,] -0.093194306 -0.0997112631
## [4318,]  0.787186535  0.7866820484
## [4319,]  0.472764806  0.4701130086
## [4320,]  0.944397399  0.9449665683
## [4321,]  0.472764806  0.4701130086
## [4322,]  0.236948509  0.2326862287
## [4323,]  0.453899502  0.4511188662
## [4324,]  0.158343077  0.1535439688
## [4325,]  1.573240857  1.5781046479
## [4326,]  0.585956628  0.5840778629
## [4327,]  0.787186535  0.7866820484
## [4328,] -0.077473220 -0.0838828111
## [4329,]  1.258787686  1.2615039512
## [4330,]  0.072584550  0.0671997631
## [4331,]  1.023002831  1.0241088283
## [4332,]  0.142621990  0.1377155168
## [4333,]  1.258787686  1.2615039512
## [4334,]  0.072584550  0.0671997631
## [4335,]  0.519928065  0.5175983645
## [4336,]  1.367294625  1.3707519269
## [4337,]  0.145766208  0.1408812072
## [4338,]  1.466730496  1.4708668857
## [4339,]  0.469227561  0.4665516069
## [4340,]  0.394159374  0.3909707486
## [4341,]  0.001132212 -0.0047405512
## [4342,]  0.944397399  0.9449665683
## [4343,]  0.472764806  0.4701130086
## [4344,] -0.030309961 -0.0363974551
## [4345,]  0.629975670  0.6283975285
## [4346,]  0.653164273  0.6517444952
## [4347,]  0.158343077  0.1535439688
## [4348,]  1.070166091  1.0715941842
## [4349,] -0.072756894 -0.0791342755
## [4350,]  0.714869537  0.7138711692
## [4351,]  0.653164273  0.6517444952
## [4352,]  0.897234140  0.8974812123
## [4353,]  0.048295472  0.0427448048
## [4354,]  0.653164273  0.6517444952
## [4355,]  0.653164273  0.6517444952
## [4356,]  0.653164273  0.6517444952
## [4357,]  0.653164273  0.6517444952
## [4358,]  0.787186535  0.7866820484
## [4359,]  0.897234140  0.8974812123
## [4360,]  0.048295472  0.0427448048
## [4361,]  0.653164273  0.6517444952
## [4362,]  0.653164273  0.6517444952
## [4363,]  0.653164273  0.6517444952
## [4364,]  0.719585863  0.7186197048
## [4365,]  0.001132212 -0.0047405512
## [4366,] -0.093194306 -0.0997112631
## [4367,]  0.714869537  0.7138711692
## [4368,]  0.714869537  0.7138711692
## [4369,]  0.714869537  0.7138711692
## [4370,]  0.629975670  0.6283975285
## [4371,]  0.158343077  0.1535439688
## [4372,]  0.453899502  0.4511188662
## [4373,]  0.629975670  0.6283975285
## [4374,]  0.472764806  0.4701130086
## [4375,]  0.236948509  0.2326862287
## [4376,]  0.629975670  0.6283975285
## [4377,]  0.463332154  0.4606159374
## [4378,]  0.064016558  0.0585732568
## [4379,]  0.691287907  0.6901284912
## [4380,]  1.143111932  1.1450382015
## [4381,]  0.506722352  0.5043024649
## [4382,]  0.001132212 -0.0047405512
## [4383,]  2.319992463  2.3299561175
## [4384,]  1.730451722  1.7363891678
## [4385,]  0.677138930  0.6758828845
## [4386,]  1.573240857  1.5781046479
## [4387,]  0.653164273  0.6517444952
## [4388,]  0.346996114  0.3434853926
## [4389,]  1.023002831  1.0241088283
## [4390,]  0.221227423  0.2168577767
## [4391,]  2.359295180  2.3695272475
## [4392,]  1.573240857  1.5781046479
## [4393,]  0.472764806  0.4701130086
## [4394,]  0.001132212 -0.0047405512
## [4395,]  1.573240857  1.5781046479
## [4396,]  0.653164273  0.6517444952
## [4397,]  0.988416441  0.9892862339
## [4398,]  0.029430168  0.0237506624
## [4399,]  0.236948509  0.2326862287
## [4400,]  0.463332154  0.4606159374
## [4401,]  0.064016558  0.0585732568
## [4402,]  0.653164273  0.6517444952
## [4403,]  0.653164273  0.6517444952
## [4404,]  0.653164273  0.6517444952
## [4405,]  0.653164273  0.6517444952
## [4406,]  0.653164273  0.6517444952
## [4407,]  0.653164273  0.6517444952
## [4408,]  0.653164273  0.6517444952
## [4409,]  0.653164273  0.6517444952
## [4410,]  0.787186535  0.7866820484
## [4411,]  0.472764806  0.4701130086
## [4412,]  0.787186535  0.7866820484
## [4413,]  0.851642989  0.8515787016
## [4414,]  1.573240857  1.5781046479
## [4415,]  0.653164273  0.6517444952
## [4416,]  0.653164273  0.6517444952
## [4417,]  0.653164273  0.6517444952
## [4418,]  0.315553941  0.3118284887
## [4419,]  0.394159374  0.3909707486
## [4420,]  1.573240857  1.5781046479
## [4421,]  0.158343077  0.1535439688
## [4422,] -0.077473220 -0.0838828111
## [4423,] -0.058607916 -0.0648886687
## [4424,]  1.180213696  1.1823933482
## [4425,]  0.158343077  0.1535439688
## [4426,]  0.563947107  0.5619180301
## [4427,]  1.494635425  1.4989623880
## [4428,]  0.472764806  0.4701130086
## [4429,]  0.842210337  0.8420816304
## [4430,]  0.032574385  0.0269163528
## [4431,]  1.573240857  1.5781046479
## [4432,]  0.567091324  0.5650837205
## [4433,] -0.017733091 -0.0237346935
## [4434,]  0.362717201  0.3593138446
## [4435,]  0.842210337  0.8420816304
## [4436,]  0.032574385  0.0269163528
## [4437,]  0.567091324  0.5650837205
## [4438,] -0.017733091 -0.0237346935
## [4439,]  0.126900904  0.1218870648
## [4440,]  0.315553941  0.3118284887
## [4441,]  0.787186535  0.7866820484
## [4442,]  0.001132212 -0.0047405512
## [4443,]  1.041868135  1.0431029706
## [4444,] -0.091622198 -0.0981284179
## [4445,]  1.573240857  1.5781046479
## [4446,]  0.881513053  0.8816527603
## [4447,]  0.395731482  0.3925535938
## [4448,]  0.624473290  0.6228575703
## [4449,]  0.236885625  0.2326229149
## [4450,] -0.013960031 -0.0199358651
## [4451,]  0.064016558  0.0585732568
## [4452,]  0.787186535  0.7866820484
## [4453,]  0.001132212 -0.0047405512
## [4454,]  0.719585863  0.7186197048
## [4455,]  0.315553941  0.3118284887
## [4456,]  0.787186535  0.7866820484
## [4457,]  0.691287907  0.6901284912
## [4458,]  0.394159374  0.3909707486
## [4459,]  0.600105606  0.5983234697
## [4460,]  1.552803445  1.5575276603
## [4461,]  0.269962791  0.2659259779
## [4462,]  1.494635425  1.4989623880
## [4463,]  0.865791967  0.8658243083
## [4464,]  1.573240857  1.5781046479
## [4465,]  0.622115127  0.6204833025
## [4466,]  0.435034198  0.4321247238
## [4467,]  1.573240857  1.5781046479
## [4468,]  0.832777685  0.8325845592
## [4469,] -0.077473220 -0.0838828111
## [4470,]  0.691287907  0.6901284912
## [4471,]  0.472764806  0.4701130086
## [4472,]  1.041868135  1.0431029706
## [4473,] -0.091622198 -0.0981284179
## [4474,]  1.038723918  1.0399372802
## [4475,] -0.093194306 -0.0997112631
## [4476,]  0.001132212 -0.0047405512
## [4477,]  1.573240857  1.5781046479
## [4478,]  1.738312265  1.7443033938
## [4479,]  0.395731482  0.3925535938
## [4480,]  0.944397399  0.9449665683
## [4481,]  0.892502093  0.8927168483
## [4482,]  0.787186535  0.7866820484
## [4483,]  1.573240857  1.5781046479
## [4484,]  1.573240857  1.5781046479
## [4485,]  1.573240857  1.5781046479
## [4486,]  0.158343077  0.1535439688
## [4487,]  1.122045676  1.1238280758
## [4488,] -0.019305200 -0.0253175387
## [4489,]  1.561607253  1.5663915935
## [4490,]  0.557658673  0.5555866493
## [4491,]  0.315553941  0.3118284887
## [4492,]  0.472764806  0.4701130086
## [4493,]  0.158343077  0.1535439688
## [4494,]  0.787186535  0.7866820484
## [4495,]  0.158343077  0.1535439688
## [4496,]  0.158343077  0.1535439688
## [4497,]  0.787186535  0.7866820484
## [4498,]  0.472764806  0.4701130086
## [4499,]  0.048295472  0.0427448048
## [4500,]  0.944397399  0.9449665683
## [4501,]  0.002311294 -0.0035534173
## [4502,]  0.158343077  0.1535439688
## [4503,]  0.832777685  0.8325845592
## [4504,]  0.394159374  0.3909707486
## [4505,]  0.567091324  0.5650837205
## [4506,] -0.017733091 -0.0237346935
## [4507,]  1.416029993  1.4198201280
## [4508,]  0.158343077  0.1535439688
## [4509,]  2.359295180  2.3695272475
## [4510,]  0.787186535  0.7866820484
## [4511,]  0.787186535  0.7866820484
## [4512,] -0.077473220 -0.0838828111
## [4513,]  1.027719157  1.0288573639
## [4514,]  0.130045121  0.1250527552
## [4515,]  0.930248421  0.9307209615
## [4516,]  0.073449210  0.0680703280
## [4517,]  0.394159374  0.3909707486
## [4518,]  0.079737645  0.0744017088
## [4519,]  0.221227423  0.2168577767
## [4520,]  0.315553941  0.3118284887
## [4521,]  0.624473290  0.6228575703
## [4522,]  0.236885625  0.2326229149
## [4523,]  0.243236944  0.2390176095
## [4524,]  0.925139068  0.9255767146
## [4525,] -0.033454178 -0.0395631455
## [4526,]  0.529360717  0.5270954357
## [4527,]  0.624473290  0.6228575703
## [4528,]  0.236885625  0.2326229149
## [4529,]  1.027719157  1.0288573639
## [4530,]  1.730451722  1.7363891678
## [4531,]  0.472764806  0.4701130086
## [4532,]  0.158343077  0.1535439688
## [4533,]  1.431751079  1.4356485800
## [4534,]  0.142621990  0.1377155168
## [4535,]  0.472764806  0.4701130086
## [4536,]  1.447472166  1.4514770320
## [4537,]  0.787186535  0.7866820484
## [4538,]  0.240407148  0.2361684881
## [4539,]  0.503263713  0.5008202054
## [4540,]  1.103337583  1.1049922179
## [4541,]  0.159600764  0.1548102449
## [4542,]  0.472764806  0.4701130086
## [4543,]  0.079737645  0.0744017088
## [4544,]  0.315553941  0.3118284887
## [4545,]  0.001132212 -0.0047405512
## [4546,] -0.061752133 -0.0680543591
## [4547,]  0.315553941  0.3118284887
## [4548,]  0.179440775  0.1747857513
## [4549,]  0.268390682  0.2643431327
## [4550,]  0.967979029  0.9687092463
## [4551,]  0.667706278  0.6663858133
## [4552,]  0.158343077  0.1535439688
## [4553,]  0.001132212 -0.0047405512
## [4554,]  0.268390682  0.2643431327
## [4555,]  0.243236944  0.2390176095
## [4556,]  1.477342230  1.4815510908
## [4557,]  0.104891383  0.0997272320
## [4558,]  1.164492609  1.1665648962
## [4559,]  0.282146633  0.2781930282
## [4560,]  0.394159374  0.3909707486
## [4561,]  0.930248421  0.9307209615
## [4562,]  0.073449210  0.0680703280
## [4563,]  0.472764806  0.4701130086
## [4564,]  0.158343077  0.1535439688
## [4565,]  0.870508293  0.8705728439
## [4566,]  0.409880460  0.4067992006
## [4567,] -0.093194306 -0.0997112631
## [4568,]  0.788758643  0.7882648936
## [4569,]  0.158343077  0.1535439688
## [4570,]  0.870508293  0.8705728439
## [4571,]  0.870508293  0.8705728439
## [4572,]  0.546653912  0.5445067329
## [4573,]  0.395731482  0.3925535938
## [4574,] -0.077473220 -0.0838828111
## [4575,]  1.007281745  1.0082803763
## [4576,]  0.670850495  0.6695515037
## [4577,]  1.831066675  1.8376912606
## [4578,]  0.993447189  0.9943513385
## [4579,]  0.079737645  0.0744017088
## [4580,]  0.892502093  0.8927168483
## [4581,]  0.670284536  0.6689816794
## [4582,] -0.079768499 -0.0861937651
## [4583,]  1.258819128  1.2615356081
## [4584,]  0.001132212 -0.0047405512
## [4585,]  0.005219695 -0.0006251536
## [4586,]  0.315553941  0.3118284887
## [4587,]  0.001132212 -0.0047405512
## [4588,]  0.158343077  0.1535439688
## [4589,]  0.064016558  0.0585732568
## [4590,]  0.944397399  0.9449665683
## [4591,]  0.944397399  0.9449665683
## [4592,]  0.944397399  0.9449665683
## [4593,]  0.944397399  0.9449665683
## [4594,]  0.002311294 -0.0035534173
## [4595,]  1.103337583  1.1049922179
## [4596,]  0.159600764  0.1548102449
## [4597,]  0.315553941  0.3118284887
## [4598,]  1.258819128  1.2615356081
## [4599,]  1.101608264  1.1032510882
## [4600,] -0.156078652  0.3495951751
## [4601,]  1.101608264  1.1032510882
## [4602,]  0.787186535  0.7866820484
## [4603,]  2.736601254  2.7494100953
## [4604,]  1.038723918  1.0399372802
## [4605,]  0.944397399  0.9449665683
## [4606,]  0.552942347  0.5508381137
## [4607,]  1.573240857  0.6606400852
## [4608,]  0.111179817  0.1060586128
## [4609,]  0.787186535  0.7866820484
## [4610,]  0.236948509  0.2326862287
## [4611,]  0.048295472  0.0427448048
## [4612,]  0.040434928  0.0348305788
## [4613,]  4.010009257  4.0315147065
## [4614,]  0.001132212 -0.0047405512
## [4615,]  1.416029993  1.4198201280
## [4616,]  3.616982095  3.6358034068
## [4617,]  0.425601546  0.4226276526
## [4618,]  1.101608264  1.1032510882
## [4619,]  0.001132212 -0.0047405512
## [4620,] -0.093194306 -0.0997112631
## [4621,] -0.030309961  0.0823001063
## [4622,]  0.787186535  0.7866820484
## [4623,]  0.787186535  0.7866820484
## [4624,]  0.315553941  0.3118284887
## [4625,]  0.001132212 -0.0047405512
## [4626,]  1.573240857  1.5781046479
## [4627,]  1.258819128  1.2615356081
## [4628,]  4.717458147  4.7437950461
## [4629,] -0.093194306 -0.0997112631
## [4630,]  0.001132212 -0.0047405512
## [4631,]  0.048295472  0.0427448048
## [4632,]  1.887662586  1.8946736878
## [4633,] -0.313289517  0.0533023823
## [4634,]  1.573240857  1.5781046479
## [4635,]  0.315553941  0.3118284887
## [4636,]  1.337424560  1.3406778681
## [4637,]  0.001132212 -0.0047405512
## [4638,]  1.180213696  1.1823933482
## [4639,]  0.001132212 -0.0047405512
## [4640,]  1.337424560  0.5879083483
## [4641,]  0.001132212 -0.0047405512
## [4642,]  1.981989105  1.9896443997
## [4643,]  0.598533497  0.5967406245
## [4644,]  0.158343077  0.1535439688
## [4645,]  0.787186535  0.7866820484
## [4646,]  0.378438287  0.3751422966
## [4647,]  0.315553941  0.3118284887
## [4648,]  0.236948509  0.2326862287
## [4649,]  1.730451722  1.7363891678
## [4650,]  0.472764806  0.4701130086
## [4651,]  0.787186535  0.7866820484
## [4652,]  0.787186535  0.7866820484
## [4653,]  1.667567376  1.6730753599
## [4654,]  0.551370238  0.5492552685
## [4655,]  0.001132212 -0.0047405512
## [4656,]  0.158343077  0.1535439688
## [4657,]  0.629975670  0.6283975285
## [4658,] -0.046031047 -0.0522259071
## [4659,]  0.378438287  0.3751422966
## [4660,]  0.708581102  0.7075397884
## [4661,]  4.182941208  4.2056276784
## [4662,]  1.180213696  1.1823933482
## [4663,]  2.752322341  2.7652385473
## [4664,]  0.787186535  0.7866820484
## [4665,]  0.158343077  0.1535439688
## [4666,]  0.236948509  0.2326862287
## [4667,]  0.551370238  0.5492552685
## [4668,]  0.032574385  0.0269163528
## [4669,] -0.046031047  0.3713751251
## [4670,] -0.313289517 -0.0322662292
## [4671,]  1.337424560  1.3406778681
## [4672,]  0.633119888  0.6315632189
## [4673,]  0.284111768  0.2801715847
## [4674,]  4.292988813  4.3164268424
## [4675,]  0.236948509  0.2326862287
## [4676,]  4.120056862  4.1423138705
## [4677,]  0.016853299  0.0110879008
matnosurv <- matstand[Salary_Level == "Low",]
vecmediansurv <- apply(matsurv, 2, median)
# in the above 2 represents column. Hence, we are asking for column median
vecmediansurv
##        salary salary_in_usd 
##     0.5765240     0.5784746
vecmediannosurv <- apply(matnosurv, 2, median)
matabsdevsurv <- abs(matsurv - matrix(rep(vecmediansurv,nrow(matsurv)),nrow=nrow(matsurv), byrow=TRUE))

matabsdevnosurv <- abs(matnosurv - matrix(rep(vecmediannosurv,nrow(matnosurv)),nrow=nrow(matnosurv), byrow=TRUE))

matabsdevnosurv
##              salary salary_in_usd
##    [1,] 0.270402687   0.169174495
##    [2,] 0.367873423   0.378300003
##    [3,] 0.187080929   0.196272805
##    [4,] 0.389882944   0.384631383
##    [5,] 0.081749650   0.090222176
##    [6,] 0.526656396   0.522338916
##    [7,] 0.526656396   0.522338916
##    [8,] 1.103620269   0.991430919
##    [9,] 1.182225701   1.088807556
##   [10,] 0.160355082   0.169364436
##   [11,] 0.474776811   0.485933476
##   [12,] 0.547093808   0.542915903
##   [13,] 0.232672079   0.226346863
##   [14,] 0.581680199   0.577738498
##   [15,] 0.075461215   0.068062344
##   [16,] 0.484209463   0.479602095
##   [17,] 0.020437412   0.012662762
##   [18,] 0.378878183   0.373551467
##   [19,] 0.402459813   0.413122597
##   [20,] 0.264114252   0.258003767
##   [21,] 0.168215625   0.177278662
##   [22,] 0.542377482   0.538167368
##   [23,] 0.081749650   0.090222176
##   [24,] 0.581680199   0.577738498
##   [25,] 0.347436011   0.341894563
##   [26,] 0.020437412   0.012662762
##   [27,] 0.378878183   0.373551467
##   [28,] 0.521940070   0.533418832
##   [29,] 0.647708762   0.660046448
##   [30,] 0.437046203   0.432116739
##   [31,] 0.735746846   0.748685779
##   [32,] 0.567499779   0.563461234
##   [33,] 0.163609347   0.156812474
##   [34,] 0.081749650   0.090222176
##   [35,] 0.474776811   0.485933476
##   [36,] 0.742035280   0.543501556
##   [37,] 0.946409404   0.796677646
##   [38,] 0.238960514   0.248506696
##   [39,] 0.553382243   0.565075736
##   [40,] 0.137135037   0.130157361
##   [41,] 0.279835339   0.273832219
##   [42,] 0.213806776   0.207352721
##   [43,] 0.182364603   0.175695817
##   [44,] 0.081749650   0.090222176
##   [45,] 0.232672079   0.226346863
##   [46,] 0.441762529   0.436865275
##   [47,] 0.279835339   0.273832219
##   [48,] 0.389882944   0.384631383
##   [49,] 0.185508820   0.178861507
##   [50,] 0.547093808   0.542915903
##   [51,] 0.506218984   0.517590380
##   [52,] 0.378878183   0.373551467
##   [53,] 0.389882944   0.384631383
##   [54,] 0.018865304   0.026908368
##   [55,] 0.594257068   0.590401259
##   [56,] 0.169787734   0.163033056
##   [57,] 0.213806776   0.207352721
##   [58,] 0.279835339   0.273832219
##   [59,] 0.405604030   0.400459835
##   [60,] 1.025014836   0.894054282
##   [61,] 1.182225701   1.088807556
##   [62,] 0.499930549   0.495430547
##   [63,] 0.075461215   0.068062344
##   [64,] 0.097470736   0.106050628
##   [65,] 0.389882944   0.384631383
##   [66,] 0.003144217   0.011079916
##   [67,] 0.097470736   0.106050628
##   [68,] 0.828501256   0.842073646
##   [69,] 0.048861137   0.041280603
##   [70,] 0.389882944   0.384631383
##   [71,] 0.154066647   0.147204604
##   [72,] 0.437046203   0.432116739
##   [73,] 0.737318954   0.750268624
##   [74,] 0.154066647   0.147204604
##   [75,] 0.160355082   0.169364436
##   [76,] 0.245248949   0.071924486
##   [77,] 1.150783528   1.049869564
##   [78,] 1.025014836   0.989484019
##   [79,] 1.197946787   1.177478544
##   [80,] 0.474776811   0.212417826
##   [81,] 0.789198540   0.601924372
##   [82,] 0.474776811   0.212417826
##   [83,] 0.789198540   0.601924372
##   [84,] 0.553382243   0.476800459
##   [85,] 0.468488376   0.089953093
##   [86,] 0.547093808   0.542915903
##   [87,] 0.310255641   0.304460274
##   [88,] 0.458269670   0.469313602
##   [89,] 0.407176139   0.402042681
##   [90,] 0.248393166   0.242175315
##   [91,] 0.504646875   0.516007535
##   [92,] 0.317565946   0.327648956
##   [93,] 0.631987675   0.644217996
##   [94,] 0.081749650   0.090222176
##   [95,] 0.081749650   0.090222176
##   [96,] 0.946409404   0.904042035
##   [97,] 1.087899182   1.057847103
##   [98,] 0.081749650   0.090222176
##   [99,] 0.081749650   0.090222176
##  [100,] 0.081749650   0.090222176
##  [101,] 0.075461215   0.068062344
##  [102,] 0.396171378   0.406791216
##  [103,] 1.182225701   1.088807556
##  [104,] 0.537661157   0.549247284
##  [105,] 0.248393166   0.242175315
##  [106,] 0.437046203   0.432116739
##  [107,] 0.735746846   0.748685779
##  [108,] 0.468488376   0.463773643
##  [109,] 0.075461215   0.068062344
##  [110,] 0.317565946   0.017664552
##  [111,] 0.710593107   0.504547736
##  [112,] 0.139603248   0.132642428
##  [113,] 0.139603248   0.132642428
##  [114,] 0.504646875   0.516007535
##  [115,] 0.139603248   0.132642428
##  [116,] 1.232533178   1.151139999
##  [117,] 1.232533178   1.151139999
##  [118,] 0.547093808   0.542915903
##  [119,] 0.248393166   0.242175315
##  [120,] 0.402459813   0.413122597
##  [121,] 0.158782973   0.167781591
##  [122,] 0.437046203   0.432116739
##  [123,] 0.735746846   0.748685779
##  [124,] 0.238960514   0.248506696
##  [125,] 0.553382243   0.565075736
##  [126,] 0.504646875   0.516007535
##  [127,] 0.468488376   0.463773643
##  [128,] 0.081749650   0.090222176
##  [129,] 0.048861137   0.041280603
##  [130,] 0.267258470   0.276997910
##  [131,] 0.528228505   0.523921761
##  [132,] 0.789198540   0.601924372
##  [133,] 0.946409404   0.796677646
##  [134,] 0.578535981   0.574572807
##  [135,] 0.549137550   0.544973602
##  [136,] 0.319609687   0.329706655
##  [137,] 0.003144217   0.004748536
##  [138,] 0.484209463   0.479602095
##  [139,] 0.578535981   0.574572807
##  [140,] 0.264114252   0.258003767
##  [141,] 0.168215625   0.177278662
##  [142,] 0.169787734   0.163033056
##  [143,] 0.238960514   0.248506696
##  [144,] 0.358440771   0.352974479
##  [145,] 0.326998598   0.321317575
##  [146,] 0.484209463   0.479602095
##  [147,] 0.311277512   0.305489123
##  [148,] 0.347436011   0.341894563
##  [149,] 0.710593107   0.723360256
##  [150,] 0.789198540   0.802502516
##  [151,] 0.311277512   0.305489123
##  [152,] 0.421325117   0.416288287
##  [153,] 0.091182301   0.083890796
##  [154,] 0.342719685   0.337146027
##  [155,] 0.311419001   0.305631579
##  [156,] 0.343678671   0.353940015
##  [157,] 0.110047605   0.102884938
##  [158,] 0.210662558   0.220015483
##  [159,] 0.389882944   0.384631383
##  [160,] 0.154066647   0.147204604
##  [161,] 0.437046203   0.432116739
##  [162,] 0.737318954   0.750268624
##  [163,] 0.317565946   0.327648956
##  [164,] 0.397743487   0.392545609
##  [165,] 0.169787734   0.163033056
##  [166,] 0.374161857   0.384631383
##  [167,] 0.969991034   0.984529714
##  [168,] 0.207518341   0.216849792
##  [169,] 0.504646875   0.516007535
##  [170,] 0.232672079   0.226346863
##  [171,] 0.389882944   0.384631383
##  [172,] 0.504646875   0.516007535
##  [173,] 0.078605432   0.071228034
##  [174,] 0.504646875   0.516007535
##  [175,] 0.187080929   0.196272805
##  [176,] 0.187080929   0.196272805
##  [177,] 0.504646875   0.516007535
##  [178,] 0.097470736   0.090222176
##  [179,] 0.437046203   0.432116739
##  [180,] 0.735746846   0.748685779
##  [181,] 0.504646875   0.516007535
##  [182,] 0.187080929   0.196272805
##  [183,] 0.468488376   0.463773643
##  [184,] 0.154066647   0.147204604
##  [185,] 0.544106802   0.539908497
##  [186,] 0.155245729   0.164220189
##  [187,] 0.542377482   0.538167368
##  [188,] 0.531372722   0.527087451
##  [189,] 0.176076168   0.185192888
##  [190,] 0.342719685   0.337146027
##  [191,] 0.631987675   0.644217996
##  [192,] 0.484209463   0.479602095
##  [193,] 0.531372722   0.527087451
##  [194,] 0.581680199   0.577738498
##  [195,] 0.460627833   0.455859417
##  [196,] 0.278263230   0.272249374
##  [197,] 0.154066647   0.147204604
##  [198,] 0.160355082   0.169364436
##  [199,] 0.154066647   0.147204604
##  [200,] 0.238960514   0.248506696
##  [201,] 0.349008119   0.359305860
##  [202,] 0.616266589   0.628389544
##  [203,] 0.257039763   0.250880964
##  [204,] 0.504646875   0.516007535
##  [205,] 0.567499779   0.563461234
##  [206,] 0.163609347   0.156812474
##  [207,] 0.059740129   0.052233892
##  [208,] 0.081749650   0.090222176
##  [209,] 0.193369363   0.202604185
##  [210,] 0.389882944   0.384631383
##  [211,] 0.075461215   0.068062344
##  [212,] 0.081749650   0.090222176
##  [213,] 0.078605432   0.071228034
##  [214,] 0.389882944   0.384631383
##  [215,] 0.081749650   0.090222176
##  [216,] 0.015721086   0.007914226
##  [217,] 0.232672079   0.226346863
##  [218,] 0.220095210   0.229512554
##  [219,] 0.738891063   0.751851470
##  [220,] 0.389882944   0.384631383
##  [221,] 0.484209463   0.479602095
##  [222,] 0.452767290   0.447945191
##  [223,] 0.468488376   0.463773643
##  [224,] 0.232672079   0.226346863
##  [225,] 0.187080929   0.196272805
##  [226,] 0.023581630   0.015828452
##  [227,] 0.746751606   0.759765696
##  [228,] 0.311277512   0.305489123
##  [229,] 0.081749650   0.090222176
##  [230,] 0.619410806   0.631555234
##  [231,] 0.187080929   0.196272805
##  [232,] 0.372023790   0.382478714
##  [233,] 0.081749650   0.090222176
##  [234,] 0.484209463   0.479602095
##  [235,] 0.097470736   0.106050628
##  [236,] 0.581680199   0.577738498
##  [237,] 0.160355082   0.169364436
##  [238,] 0.474776811   0.485933476
##  [239,] 0.154066647   0.147204604
##  [240,] 0.003144217   0.011079916
##  [241,] 0.238960514   0.248506696
##  [242,] 0.396171378   0.406791216
##  [243,] 0.547093808   0.542915903
##  [244,] 0.081749650   0.090222176
##  [245,] 0.474776811   0.485933476
##  [246,] 0.223239428   0.232678244
##  [247,] 0.232672079   0.226346863
##  [248,] 0.437046203   0.432116739
##  [249,] 0.735746846   0.748685779
##  [250,] 0.504646875   0.516007535
##  [251,] 0.504646875   0.516007535
##  [252,] 0.187080929   0.196272805
##  [253,] 0.581680199   0.577738498
##  [254,] 0.207518341   0.201021340
##  [255,] 0.547093808   0.542915903
##  [256,] 0.185508820   0.194689959
##  [257,] 0.081749650   0.274465358
##  [258,] 0.421325117   0.416288287
##  [259,] 0.397743487   0.392545609
##  [260,] 0.169787734   0.163033056
##  [261,] 0.484209463   0.479602095
##  [262,] 0.223239428   0.232678244
##  [263,] 0.378878183   0.373551467
##  [264,] 0.594257068   0.590401259
##  [265,] 0.427613551   0.438448120
##  [266,] 0.468488376   0.463773643
##  [267,] 0.075461215   0.068062344
##  [268,] 0.578535981   0.574572807
##  [269,] 0.047163259   0.055399582
##  [270,] 0.507791092   0.503344773
##  [271,] 0.372589749   0.383048538
##  [272,] 0.547093808   0.542915903
##  [273,] 0.311277512   0.305489123
##  [274,] 0.357654717   0.352183057
##  [275,] 0.081749650   0.274465358
##  [276,] 0.553382243   0.309794462
##  [277,] 0.313541348   0.323596873
##  [278,] 0.527992688   0.539512786
##  [279,] 0.081749650   0.090222176
##  [280,] 0.081749650   0.090222176
##  [281,] 0.311277512   0.305489123
##  [282,] 0.710593107   0.723360256
##  [283,] 0.836361799   0.849987872
##  [284,] 0.081749650   0.090222176
##  [285,] 0.396171378   0.406791216
##  [286,] 0.581680199   0.577738498
##  [287,] 0.468488376   0.463773643
##  [288,] 0.081749650   0.090222176
##  [289,] 0.402459813   0.413122597
##  [290,] 0.484209463   0.479602095
##  [291,] 0.075461215   0.068062344
##  [292,] 0.160355082   0.169364436
##  [293,] 0.448050964   0.443196656
##  [294,] 0.537661157   0.549247284
##  [295,] 0.757756367   0.770845612
##  [296,] 0.484209463   0.479602095
##  [297,] 0.726314194   0.739188708
##  [298,] 0.867803972   0.881644776
##  [299,] 0.358440771   0.352974479
##  [300,] 0.867803972   0.881644776
##  [301,] 0.710593107   0.647684427
##  [302,] 0.820640713   0.767315867
##  [303,] 1.323715479   1.340669884
##  [304,] 0.468488376   0.463773643
##  [305,] 0.232672079   0.226346863
##  [306,] 0.547093808   0.542915903
##  [307,] 1.103620269   0.991430919
##  [308,] 1.103620269   0.991430919
##  [309,] 0.426041443   0.421036823
##  [310,] 0.238960514   0.248506696
##  [311,] 0.396171378   0.406791216
##  [312,] 0.187080929   0.196272805
##  [313,] 0.187080929   0.196272805
##  [314,] 0.437046203   0.432116739
##  [315,] 0.737318954   0.750268624
##  [316,] 0.326998598   0.337146027
##  [317,] 0.036158499   0.028491214
##  [318,] 0.003144217   0.011079916
##  [319,] 0.474776811   0.485933476
##  [320,] 0.547093808   0.542915903
##  [321,] 0.113191822   0.121879080
##  [322,] 0.581680199   0.577738498
##  [323,] 0.154066647   0.147204604
##  [324,] 0.317565946   0.327648956
##  [325,] 0.232672079   0.226346863
##  [326,] 0.238174460   0.231886822
##  [327,] 0.484209463   0.495430547
##  [328,] 0.269585190   0.279340521
##  [329,] 0.342719685   0.337146027
##  [330,] 1.260831133   1.277356076
##  [331,] 0.366301314   0.360888705
##  [332,] 0.320710164   0.314986195
##  [333,] 0.426041443   0.421036823
##  [334,] 0.396328589   0.391121049
##  [335,] 0.207518341   0.216849792
##  [336,] 0.056595911   0.049068201
##  [337,] 0.251537383   0.245341006
##  [338,] 0.504646875   0.516007535
##  [339,] 0.091182301   0.083890796
##  [340,] 0.389882944   0.384631383
##  [341,] 0.001572109   0.006331381
##  [342,] 0.304989077   0.314986195
##  [343,] 0.528228505   0.523921761
##  [344,] 0.075461215   0.083890796
##  [345,] 0.455911507   0.451110882
##  [346,] 0.031442173   0.039571130
##  [347,] 0.003144217   0.011079916
##  [348,] 0.317565946   0.327648956
##  [349,] 0.075461215   0.068062344
##  [350,] 0.160355082   0.169364436
##  [351,] 0.154066647   0.163033056
##  [352,] 0.745179498   0.758182850
##  [353,] 0.075461215   0.068062344
##  [354,] 0.301844860   0.311820504
##  [355,] 0.311277512   0.305489123
##  [356,] 0.278263230   0.288077826
##  [357,] 0.402459813   0.413122597
##  [358,] 0.440190421   0.435282430
##  [359,] 0.333287033   0.343477408
##  [360,] 0.191797255   0.201021340
##  [361,] 0.291626154   0.285703558
##  [362,] 0.297128534   0.291243517
##  [363,] 0.232672079   0.226346863
##  [364,] 0.075461215   0.083890796
##  [365,] 0.362371043   0.356931592
##  [366,] 0.158782973   0.151953139
##  [367,] 0.073889106   0.066479498
##  [368,] 0.691727804   0.704366114
##  [369,] 0.474776811   0.485933476
##  [370,] 0.504646875   0.516007535
##  [371,] 0.523669390   0.519331510
##  [372,] 0.152651749   0.161608495
##  [373,] 0.075461215   0.068062344
##  [374,] 0.441762529   0.436865275
##  [375,] 0.119480257   0.254648136
##  [376,] 0.503074766   0.422113158
##  [377,] 0.083321758   0.075976570
##  [378,] 0.018865304   0.026908368
##  [379,] 0.402459813   0.413122597
##  [380,] 0.279835339   0.273832219
##  [381,] 0.619410806   0.631555234
##  [382,] 0.367873423   0.378300003
##  [383,] 0.468488376   0.463773643
##  [384,] 0.356868662   0.367220086
##  [385,] 0.004716326   0.003165690
##  [386,] 0.051879585   0.044319666
##  [387,] 0.415036682   0.425785359
##  [388,] 0.020437412   0.012662762
##  [389,] 0.075461215   0.068062344
##  [390,] 0.232672079   0.226346863
##  [391,] 0.003144217   0.011079916
##  [392,] 0.075461215   0.068062344
##  [393,] 0.278263230   0.288077826
##  [394,] 0.710593107   0.723360256
##  [395,] 0.789198540   0.802502516
##  [396,] 0.154066647   0.147204604
##  [397,] 0.468488376   0.463773643
##  [398,] 0.081749650   0.090222176
##  [399,] 0.003144217   0.011079916
##  [400,] 0.160355082   0.169364436
##  [401,] 0.020437412   0.012662762
##  [402,] 0.358440771   0.352974479
##  [403,] 0.372589749   0.383048538
##  [404,] 0.452767290   0.447945191
##  [405,] 0.081749650   0.090222176
##  [406,] 0.594257068   0.590401259
##  [407,] 0.342719685   0.337146027
##  [408,] 0.484209463   0.479602095
##  [409,] 0.334859141   0.345060253
##  [410,] 0.081749650   0.090222176
##  [411,] 0.474776811   0.485933476
##  [412,] 0.238960514   0.248506696
##  [413,] 0.174504060   0.183610043
##  [414,] 0.548665917   0.544498748
##  [415,] 0.347436011   0.341894563
##  [416,] 0.484209463   0.479602095
##  [417,] 0.484209463   0.479602095
##  [418,] 0.484209463   0.479602095
##  [419,] 0.295556425   0.289660671
##  [420,] 0.430757769   0.425785359
##  [421,] 0.484209463   0.479602095
##  [422,] 0.474776811   0.485933476
##  [423,] 0.430757769   0.425785359
##  [424,] 0.091182301   0.083890796
##  [425,] 0.018865304   0.026908368
##  [426,] 0.484209463   0.479602095
##  [427,] 0.317565946   0.327648956
##  [428,] 0.474776811   0.485933476
##  [429,] 0.201229907   0.194689959
##  [430,] 0.100614953   0.093387867
##  [431,] 0.429185660   0.424202513
##  [432,] 0.317565946   0.327648956
##  [433,] 0.474776811   0.485933476
##  [434,] 0.177365297   0.186490821
##  [435,] 0.836959200   0.850589353
##  [436,] 0.154066647   0.147204604
##  [437,] 0.504646875   0.516007535
##  [438,] 0.547093808   0.542915903
##  [439,] 0.075461215   0.068062344
##  [440,] 0.404031922   0.398876990
##  [441,] 0.510935310   0.522338916
##  [442,] 0.204374124   0.197855650
##  [443,] 0.506218984   0.517590380
##  [444,] 0.503074766   0.498596238
##  [445,] 0.627271349   0.639469460
##  [446,] 0.226949604   0.220585307
##  [447,] 0.547502557   0.559155895
##  [448,] 0.003144217   0.011079916
##  [449,] 0.600545502   0.612561092
##  [450,] 0.050307477   0.058565272
##  [451,] 0.163970932   0.173004980
##  [452,] 0.367873423   0.378300003
##  [453,] 0.437046203   0.432116739
##  [454,] 0.735746846   0.748685779
##  [455,] 0.003144217   0.011079916
##  [456,] 0.474776811   0.485933476
##  [457,] 1.106764486   1.078344949
##  [458,] 1.182225701   1.088364359
##  [459,] 0.235187453   0.228879416
##  [460,] 0.185508820   0.194689959
##  [461,] 0.216950993   0.210518411
##  [462,] 0.531372722   0.542915903
##  [463,] 0.169001679   0.162241633
##  [464,] 0.560142310   0.571881970
##  [465,] 0.561242786   0.557161510
##  [466,] 0.169787734   0.163033056
##  [467,] 0.238960514   0.248506696
##  [468,] 0.187080929   0.196272805
##  [469,] 0.459055724   0.470105024
##  [470,] 0.220095210   0.213684102
##  [471,] 0.389882944   0.384631383
##  [472,] 0.311277512   0.305489123
##  [473,] 0.121052366   0.129793306
##  [474,] 0.081749650   0.090222176
##  [475,] 0.474776811   0.485933476
##  [476,] 1.339436565   1.331283612
##  [477,] 0.304989077   0.299157743
##  [478,] 0.078605432   0.071228034
##  [479,] 0.185508820   0.194689959
##  [480,] 0.075461215   0.068062344
##  [481,] 0.246821057   0.256420922
##  [482,] 0.631987675   0.644217996
##  [483,] 0.317565946   0.327648956
##  [484,] 0.682295152   0.694869042
##  [485,] 0.749895824   0.553236054
##  [486,] 0.797059083   0.611674699
##  [487,] 0.169787734   0.163033056
##  [488,] 0.514079527   0.525504606
##  [489,] 0.039019737   0.031371992
##  [490,] 0.484209463   0.479602095
##  [491,] 0.334859141   0.329231801
##  [492,] 0.154066647   0.147204604
##  [493,] 0.293984317   0.303906278
##  [494,] 1.018726402   1.033597915
##  [495,] 0.484209463   0.479602095
##  [496,] 0.023581630   0.015828452
##  [497,] 0.128912909   0.137707532
##  [498,] 0.232672079   0.226346863
##  [499,] 0.270402687   0.280163600
##  [500,] 0.710593107   0.723360256
##  [501,] 0.279835339   0.273832219
##  [502,] 0.182474650   0.191635068
##  [503,] 0.378878183   0.373551467
##  [504,] 0.238174460   0.231886822
##  [505,] 0.484209463   0.495430547
##  [506,] 0.007860543   0.000000000
##  [507,] 0.295556425   0.289660671
##  [508,] 0.295556425   0.289660671
##  [509,] 0.356868662   0.367220086
##  [510,] 0.081749650   0.274465358
##  [511,] 0.160355082   0.169364436
##  [512,] 0.396171378   0.406791216
##  [513,] 0.405604030   0.400459835
##  [514,] 0.075461215   0.068062344
##  [515,] 0.356868662   0.367220086
##  [516,] 0.437046203   0.432116739
##  [517,] 0.735746846   0.748685779
##  [518,] 0.389882944   0.384631383
##  [519,] 0.415036682   0.425785359
##  [520,] 0.960558382   0.975032643
##  [521,] 0.504646875   0.516007535
##  [522,] 0.396171378   0.406791216
##  [523,] 0.396171378   0.406791216
##  [524,] 0.232672079   0.226346863
##  [525,] 0.075461215   0.068062344
##  [526,] 0.238960514   0.248506696
##  [527,] 0.014148978   0.022159833
##  [528,] 0.548665917   0.544498748
##  [529,] 0.034586390   0.042736820
##  [530,] 0.154066647   0.147204604
##  [531,] 0.384380564   0.394919877
##  [532,] 0.892171656   0.906178876
##  [533,] 0.308133294   0.318151885
##  [534,] 0.757756367   0.770845612
##  [535,] 0.106903388   0.099719248
##  [536,] 0.226949604   0.220585307
##  [537,] 0.547502557   0.559155895
##  [538,] 0.099467314   0.108060842
##  [539,] 0.739504185   0.752468779
##  [540,] 0.515651636   0.511258999
##  [541,] 0.309705403   0.319734730
##  [542,] 0.025153738   0.017411297
##  [543,] 0.311277512   0.305489123
##  [544,] 0.389882944   0.384631383
##  [545,] 0.402459813   0.413122597
##  [546,] 0.416797444   0.411729693
##  [547,] 0.477921028   0.489099167
##  [548,] 0.653997196   0.666377829
##  [549,] 0.523669390   0.519331510
##  [550,] 0.152651749   0.161608495
##  [551,] 0.474776811   0.212417826
##  [552,] 0.789198540   0.601924372
##  [553,] 0.547093808   0.542915903
##  [554,] 0.507791092   0.503344773
##  [555,] 0.372589749   0.383048538
##  [556,] 0.534516939   0.530253142
##  [557,] 0.144633995   0.196557717
##  [558,] 0.631987675   0.407171099
##  [559,] 0.238960514   0.248506696
##  [560,] 0.161927190   0.155118830
##  [561,] 0.075461215   0.068062344
##  [562,] 0.553382243   0.565075736
##  [563,] 0.578535981   0.574572807
##  [564,] 0.050307477   0.058565272
##  [565,] 0.572247547   0.568241426
##  [566,] 0.254681600   0.248506696
##  [567,] 0.484209463   0.479602095
##  [568,] 0.789198540   0.802502516
##  [569,] 0.883525058   0.897473228
##  [570,] 0.468488376   0.463773643
##  [571,] 0.075461215   0.068062344
##  [572,] 0.389882944   0.384631383
##  [573,] 0.003144217   0.011079916
##  [574,] 0.553382243   0.565075736
##  [575,] 0.003144217   0.011079916
##  [576,] 0.081749650   0.090222176
##  [577,] 0.020437412   0.012662762
##  [578,] 0.631987675   0.407171099
##  [579,] 0.163499299   0.156701675
##  [580,] 0.400887704   0.411539752
##  [581,] 0.564387003   0.560327200
##  [582,] 0.287695882   0.297574897
##  [583,] 0.449623072   0.444779501
##  [584,] 0.232672079   0.226346863
##  [585,] 0.317565946   0.327648956
##  [586,] 0.311277512   0.305489123
##  [587,] 0.452767290   0.447945191
##  [588,] 0.547093808   0.542915903
##  [589,] 0.631987675   0.644217996
##  [590,] 1.025014836   0.894054282
##  [591,] 1.025014836   0.894054282
##  [592,] 0.075461215   0.068062344
##  [593,] 0.499930549   0.511258999
##  [594,] 0.389882944   0.384631383
##  [595,] 0.125768692   0.134541842
##  [596,] 0.616266589   0.628389544
##  [597,] 0.547093808   0.542915903
##  [598,] 0.334859141   0.345060253
##  [599,] 0.389882944   0.384631383
##  [600,] 0.057067544   0.065371507
##  [601,] 0.201229907   0.194689959
##  [602,] 0.342719685   0.337146027
##  [603,] 1.018726402   0.146872206
##  [604,] 0.547093808   0.542915903
##  [605,] 0.484209463   0.479602095
##  [606,] 0.177365297   0.186490821
##  [607,] 0.836959200   0.850589353
##  [608,] 0.460627833   0.455859417
##  [609,] 0.484209463   0.479602095
##  [610,] 0.018865304   0.026908368
##  [611,] 0.075461215   0.068062344
##  [612,] 0.238960514   0.248506696
##  [613,] 0.154066647   0.147204604
##  [614,] 0.594257068   0.590401259
##  [615,] 0.185508820   0.178861507
##  [616,] 0.389882944   0.384631383
##  [617,] 0.075461215   0.068062344
##  [618,] 0.710593107   0.504547736
##  [619,] 0.946409404   0.796677646
##  [620,] 0.389882944   0.384631383
##  [621,] 0.063481747   0.056001063
##  [622,] 0.580516838   0.592395644
##  [623,] 0.820640713   0.767315867
##  [624,] 0.899246145   0.852773679
##  [625,] 0.383594509   0.394128455
##  [626,] 0.808063843   0.821496658
##  [627,] 0.749895824   0.553236054
##  [628,] 0.797059083   0.611674699
##  [629,] 0.232672079   0.226346863
##  [630,] 0.075461215   0.068062344
##  [631,] 0.578535981   0.574572807
##  [632,] 0.304989077   0.299157743
##  [633,] 0.631987675   0.644217996
##  [634,] 0.710593107   0.723360256
##  [635,] 0.422897225   0.417871133
##  [636,] 0.578535981   0.590401259
##  [637,] 0.075461215   0.068062344
##  [638,] 0.547093808   0.542915903
##  [639,] 0.278263230   0.288077826
##  [640,] 0.671290391   0.683789126
##  [641,] 0.578535981   0.574572807
##  [642,] 0.358440771   0.352974479
##  [643,] 0.389882944   0.384631383
##  [644,] 0.539233265   0.535001677
##  [645,] 0.014148978   0.022159833
##  [646,] 0.374161857   0.368802931
##  [647,] 0.527442450   0.523130338
##  [648,] 0.232672079   0.226346863
##  [649,] 0.081749650   0.090222176
##  [650,] 0.389882944   0.384631383
##  [651,] 0.542377482   0.538167368
##  [652,] 0.562814895   0.558744355
##  [653,] 0.238960514   0.248506696
##  [654,] 0.789198540   0.802502516
##  [655,] 0.542377482   0.538167368
##  [656,] 1.087899182   1.103243104
##  [657,] 0.081749650   0.090222176
##  [658,] 0.081749650   0.090222176
##  [659,] 0.180792494   0.174112972
##  [660,] 0.185508820   0.194689959
##  [661,] 0.396171378   0.406791216
##  [662,] 0.867803972   0.881644776
##  [663,] 0.238960514   0.248506696
##  [664,] 0.553382243   0.565075736
##  [665,] 0.867803972   0.881644776
##  [666,] 0.631987675   0.562242443
##  [667,] 0.075461215   0.068062344
##  [668,] 0.474776811   0.485933476
##  [669,] 0.977851577   0.938215663
##  [670,] 1.087899182   1.057847103
##  [671,] 0.396171378   0.406791216
##  [672,] 0.020437412   0.012662762
##  [673,] 0.389882944   0.384631383
##  [674,] 0.389882944   0.384631383
##  [675,] 0.334859141   0.329231801
##  [676,] 0.427613551   0.438448120
##  [677,] 0.378878183   0.373551467
##  [678,] 0.232672079   0.226346863
##  [679,] 0.232672079   0.226346863
##  [680,] 0.581680199   0.577738498
##  [681,] 0.515651636   0.511258999
##  [682,] 0.017293195   0.009497071
##  [683,] 0.542377482   0.538167368
##  [684,] 0.343096991   0.049289799
##  [685,] 0.631924791   0.407091957
##  [686,] 0.409534302   0.404416948
##  [687,] 0.360012880   0.354557325
##  [688,] 0.169787734   0.163033056
##  [689,] 0.238960514   0.248506696
##  [690,] 0.122624474   0.115547700
##  [691,] 0.765616910   0.778759838
##  [692,] 1.087899182   1.057847103
##  [693,] 0.520367961   0.516007535
##  [694,] 0.086465975   0.079142260
##  [695,] 0.402459813   0.413122597
##  [696,] 0.081749650   0.090222176
##  [697,] 0.474776811   0.485933476
##  [698,] 0.946409404   0.904042035
##  [699,] 1.087899182   1.057847103
##  [700,] 0.507791092   0.503344773
##  [701,] 0.372589749   0.383048538
##  [702,] 0.389882944   0.384631383
##  [703,] 0.396171378   0.406791216
##  [704,] 0.014148978   0.022159833
##  [705,] 0.279835339   0.273832219
##  [706,] 0.093556185   0.086280892
##  [707,] 0.605403318   0.617452084
##  [708,] 0.526656396   0.522338916
##  [709,] 0.159726238   0.168731298
##  [710,] 0.720025759   0.732857327
##  [711,] 0.547093808   0.542915903
##  [712,] 0.506218984   0.251371646
##  [713,] 0.726314194   0.524032560
##  [714,] 0.034586390   0.042736820
##  [715,] 0.270402687   0.264335148
##  [716,] 0.396171378   0.406791216
##  [717,] 0.553382243   0.565075736
##  [718,] 0.232672079   0.226346863
##  [719,] 0.238960514   0.248506696
##  [720,] 0.867803972   0.881644776
##  [721,] 0.710593107   0.504547736
##  [722,] 0.946409404   0.796677646
##  [723,] 0.389882944   0.384631383
##  [724,] 0.389882944   0.384631383
##  [725,] 0.867803972   0.881644776
##  [726,] 0.408748248   0.403625526
##  [727,] 0.081749650   0.090222176
##  [728,] 0.014148978   0.022159833
##  [729,] 0.232672079   0.226346863
##  [730,] 0.279835339   0.273832219
##  [731,] 0.014148978   0.022159833
##  [732,] 0.710593107   0.504547736
##  [733,] 0.789198540   0.601924372
##  [734,] 0.484209463   0.479602095
##  [735,] 0.452767290   0.447945191
##  [736,] 0.003144217   0.011079916
##  [737,] 1.370878738   1.365457239
##  [738,] 0.389882944   0.384631383
##  [739,] 0.081749650   0.090222176
##  [740,] 0.311277512   0.305489123
##  [741,] 0.405604030   0.400459835
##  [742,] 0.270402687   0.280163600
##  [743,] 0.396171378   0.406791216
##  [744,] 0.867803972   0.881644776
##  [745,] 0.421325117   0.416288287
##  [746,] 0.311277512   0.305489123
##  [747,] 0.154066647   0.147204604
##  [748,] 0.279835339   0.273832219
##  [749,] 0.389882944   0.384631383
##  [750,] 0.136773452   0.129793306
##  [751,] 0.279835339   0.273832219
##  [752,] 0.380450292   0.390962764
##  [753,] 0.396171378   0.406791216
##  [754,] 0.279835339   0.273832219
##  [755,] 0.396171378   0.406791216
##  [756,] 0.474776811   0.485933476
##  [757,] 0.389882944   0.384631383
##  [758,] 0.820640713   0.834159420
##  [759,] 0.899246145   0.913301680
##  [760,] 0.710593107   0.504547736
##  [761,] 0.311277512   0.305489123
##  [762,] 0.389882944   0.384631383
##  [763,] 0.749895824   0.553236054
##  [764,] 0.797059083   0.611674699
##  [765,] 0.311277512   0.305489123
##  [766,] 0.154066647   0.147204604
##  [767,] 0.389882944   0.384631383
##  [768,] 0.057067544   0.065371507
##  [769,] 0.154066647   0.147204604
##  [770,] 0.279835339   0.273832219
##  [771,] 0.867803972   0.881644776
##  [772,] 0.396171378   0.406791216
##  [773,] 0.553382243   0.565075736
##  [774,] 0.404283459   0.399130245
##  [775,] 0.232672079   0.226346863
##  [776,] 0.389882944   0.384631383
##  [777,] 0.484209463   0.479602095
##  [778,] 0.484209463   0.479602095
##  [779,] 0.220299584   0.213889872
##  [780,] 0.389882944   0.384631383
##  [781,] 0.334859141   0.345060253
##  [782,] 0.014148978   0.022159833
##  [783,] 0.311277512   0.305489123
##  [784,] 0.468488376   0.463773643
##  [785,] 0.138345561   0.131376152
##  [786,] 0.311277512   0.305489123
##  [787,] 0.081749650   0.090222176
##  [788,] 0.437046203   0.432116739
##  [789,] 0.548665917   0.544498748
##  [790,] 0.177349576   0.186474993
##  [791,] 0.836959200   0.850589353
##  [792,] 0.213806776   0.207352721
##  [793,] 0.474776811   0.485933476
##  [794,] 0.391455053   0.386214229
##  [795,] 0.495890230   0.491362635
##  [796,] 0.166643516   0.175695817
##  [797,] 0.028297956   0.020576988
##  [798,] 0.028297956   0.020576988
##  [799,] 0.459055724   0.470105024
##  [800,] 0.867803972   0.818584223
##  [801,] 1.025014836   0.989484019
##  [802,] 0.383594509   0.394128455
##  [803,] 0.808063843   0.821496658
##  [804,] 0.311277512   0.305489123
##  [805,] 0.515651636   0.511258999
##  [806,] 0.441762529   0.436865275
##  [807,] 0.232672079   0.226346863
##  [808,] 0.311277512   0.305489123
##  [809,] 0.154066647   0.147204604
##  [810,] 0.529800613   0.525504606
##  [811,] 0.081749650   0.074393724
##  [812,] 0.584824416   0.596732640
##  [813,] 0.651639033   0.664003561
##  [814,] 0.924399883   0.938627203
##  [815,] 0.160355082   0.169364436
##  [816,] 0.543949591   0.555578665
##  [817,] 0.343898766   0.338333161
##  [818,] 0.091182301   0.083890796
##  [819,] 0.297128534   0.291243517
##  [820,] 0.587968633   0.584069878
##  [821,] 0.402459813   0.413122597
##  [822,] 0.075461215   0.068062344
##  [823,] 0.034586390   0.042736820
##  [824,] 0.396171378   0.406791216
##  [825,] 0.553382243   0.565075736
##  [826,] 0.238960514   0.248506696
##  [827,] 0.396171378   0.406791216
##  [828,] 0.867803972   0.699301009
##  [829,] 1.025014836   0.894054282
##  [830,] 0.389882944   0.384631383
##  [831,] 0.389882944   0.384631383
##  [832,] 0.378878183   0.373551467
##  [833,] 0.124196583   0.132958997
##  [834,] 0.547093808   0.542915903
##  [835,] 0.389882944   0.384631383
##  [836,] 0.051879585   0.044319666
##  [837,] 0.154066647   0.147204604
##  [838,] 0.389882944   0.384631383
##  [839,] 0.122624474   0.115547700
##  [840,] 0.079391487   0.072019457
##  [841,] 0.946409404   0.796677646
##  [842,] 1.087899182   0.971961923
##  [843,] 0.484209463   0.479602095
##  [844,] 0.018865304   0.026908368
##  [845,] 0.484209463   0.479602095
##  [846,] 0.317565946   0.327648956
##  [847,] 0.411892465   0.422619668
##  [848,] 0.430757769   0.425785359
##  [849,] 0.405604030   0.400459835
##  [850,] 0.389882944   0.384631383
##  [851,] 0.025153738   0.017411297
##  [852,] 0.389882944   0.384631383
##  [853,] 0.034586390   0.026908368
##  [854,] 0.058168020   0.066479498
##  [855,] 0.396171378   0.406791216
##  [856,] 0.553382243   0.565075736
##  [857,] 0.474776811   0.391342647
##  [858,] 0.081749650   0.090222176
##  [859,] 0.468488376   0.463773643
##  [860,] 0.389882944   0.384631383
##  [861,] 0.154066647   0.147204604
##  [862,] 0.075461215   0.068062344
##  [863,] 0.544106802   0.539908497
##  [864,] 0.155245729   0.164220189
##  [865,] 0.144633995   0.153535984
##  [866,] 0.547093808   0.542915903
##  [867,] 0.311277512   0.305489123
##  [868,] 0.169787734   0.163033056
##  [869,] 0.174504060   0.167781591
##  [870,] 0.547093808   0.542915903
##  [871,] 0.311277512   0.305489123
##  [872,] 0.328570707   0.322900421
##  [873,] 0.311277512   0.305489123
##  [874,] 0.122624474   0.115547700
##  [875,] 0.232672079   0.242175315
##  [876,] 0.531372722   0.527087451
##  [877,] 0.295556425   0.289660671
##  [878,] 0.100614953   0.093387867
##  [879,] 0.223239428   0.232678244
##  [880,] 0.539233265   0.550830129
##  [881,] 0.883525058   0.897473228
##  [882,] 0.358440771   0.352974479
##  [883,] 0.389882944   0.384631383
##  [884,] 0.034586390   0.042736820
##  [885,] 0.177365297   0.186490821
##  [886,] 0.836959200   0.850589353
##  [887,] 0.547093808   0.542915903
##  [888,] 0.547093808   0.542915903
##  [889,] 0.122624474   0.115547700
##  [890,] 0.311277512   0.305489123
##  [891,] 0.396171378   0.406791216
##  [892,] 0.154066647   0.147204604
##  [893,] 0.547093808   0.542915903
##  [894,] 0.389882944   0.148581679
##  [895,] 0.547093808   0.542915903
##  [896,] 0.946409404   0.904042035
##  [897,] 1.025014836   0.989484019
##  [898,] 0.350580228   0.345060253
##  [899,] 0.044019042   0.036405440
##  [900,] 0.271974796   0.265917993
##  [901,] 0.356868662   0.367220086
##  [902,] 0.081749650   0.074393724
##  [903,] 0.584824416   0.596732640
##  [904,] 0.160355082   0.169364436
##  [905,] 0.474776811   0.485933476
##  [906,] 0.484209463   0.479602095
##  [907,] 0.018865304   0.026908368
##  [908,] 0.389882944   0.384631383
##  [909,] 0.003144217   0.011079916
##  [910,] 0.034586390   0.042736820
##  [911,] 0.081749650   0.090222176
##  [912,] 0.238960514   0.248506696
##  [913,] 0.710593107   0.723360256
##  [914,] 0.130485018   0.123461926
##  [915,] 0.334859141   0.345060253
##  [916,] 0.334859141   0.345060253
##  [917,] 0.389882944   0.384631383
##  [918,] 0.057067544   0.065371507
##  [919,] 0.484209463   0.479602095
##  [920,] 0.389882944   0.384631383
##  [921,] 0.389882944   0.384631383
##  [922,] 0.334859141   0.345060253
##  [923,] 0.100614953   0.093387867
##  [924,] 0.031442173   0.039571130
##  [925,] 0.350580228   0.345060253
##  [926,] 0.311277512   0.305489123
##  [927,] 0.232672079   0.226346863
##  [928,] 0.270402687   0.280163600
##  [929,] 0.044019042   0.036405440
##  [930,] 0.542377482   0.538167368
##  [931,] 0.389882944   0.384631383
##  [932,] 0.057067544   0.065371507
##  [933,] 0.334859141   0.345060253
##  [934,] 0.484209463   0.479602095
##  [935,] 0.223239428   0.232678244
##  [936,] 0.468488376   0.463773643
##  [937,] 0.075461215   0.068062344
##  [938,] 0.003144217   0.371841994
##  [939,] 0.396171378   0.115041189
##  [940,] 1.134072013   1.029165948
##  [941,] 0.389882944   0.384631383
##  [942,] 0.358440771   0.352974479
##  [943,] 0.372589749   0.383048538
##  [944,] 0.378878183   0.373551467
##  [945,] 0.581680199   0.577738498
##  [946,] 0.553382243   0.476800459
##  [947,] 1.370878738   1.388155240
##  [948,] 0.867803972   0.699301009
##  [949,] 0.581680199   0.577738498
##  [950,] 0.474776811   0.212417826
##  [951,] 0.789198540   0.601924372
##  [952,] 0.099828899   0.092596444
##  [953,] 0.542377482   0.538167368
##  [954,] 0.375733966   0.370385777
##  [955,] 0.097470736   0.090222176
##  [956,] 0.468488376   0.463773643
##  [957,] 0.075461215   0.068062344
##  [958,] 0.430757769   0.425785359
##  [959,] 0.232672079   0.226346863
##  [960,] 0.081749650   0.090222176
##  [961,] 0.238960514   0.248506696
##  [962,] 0.220095210   0.213684102
##  [963,] 0.430757769   0.425785359
##  [964,] 0.454339398   0.465356489
##  [965,] 0.260970035   0.270666529
##  [966,] 0.177349576   0.186474993
##  [967,] 0.836959200   0.850589353
##  [968,] 0.547093808   0.542915903
##  [969,] 0.547093808   0.542915903
##  [970,] 0.075461215   0.068062344
##  [971,] 0.547093808   0.542915903
##  [972,] 0.081749650   0.090222176
##  [973,] 0.474776811   0.485933476
##  [974,] 0.946409404   0.904042035
##  [975,] 1.087899182   1.057847103
##  [976,] 0.081749650   0.090222176
##  [977,] 0.474776811   0.485933476
##  [978,] 0.516280479   0.436469564
##  [979,] 1.065260818   1.033233861
##  [980,] 0.547093808   0.542915903
##  [981,] 0.081749650   0.090222176
##  [982,] 0.311277512   0.305489123
##  [983,] 0.232672079   0.226346863
##  [984,] 0.342719685   0.337146027
##  [985,] 0.097470736   0.106050628
##  [986,] 0.389882944   0.384631383
##  [987,] 0.232672079   0.226346863
##  [988,] 0.426355864   0.421353392
##  [989,] 0.468488376   0.463773643
##  [990,] 0.238960514   0.248506696
##  [991,] 0.547093808   0.542915903
##  [992,] 0.097470736   0.254980533
##  [993,] 0.584824416   0.348748283
##  [994,] 0.238174460   0.231886822
##  [995,] 0.484209463   0.495430547
##  [996,] 0.279835339   0.273832219
##  [997,] 0.547093808   0.542915903
##  [998,] 0.238960514   0.248506696
##  [999,] 0.430757769   0.425785359
## [1000,] 0.034586390   0.042736820
## [1001,] 0.238960514   0.248506696
## [1002,] 0.396171378   0.406791216
## [1003,] 0.547093808   0.542915903
## [1004,] 0.081749650   0.090222176
## [1005,] 0.081749650   0.090222176
## [1006,] 0.154066647   0.147204604
## [1007,] 0.003144217   0.011079916
## [1008,] 0.210662558   0.204187031
## [1009,] 0.132057126   0.140873223
## [1010,] 0.081749650   0.090222176
## [1011,] 0.946409404   0.904042035
## [1012,] 0.578535981   0.574572807
## [1013,] 0.358440771   0.352974479
## [1014,] 0.089610193   0.098136402
## [1015,] 0.815924387   0.829410884
## [1016,] 0.311277512   0.305489123
## [1017,] 0.578535981   0.590401259
## [1018,] 0.531372722   0.527087451
## [1019,] 0.578535981   0.574572807
## [1020,] 0.358440771   0.352974479
## [1021,] 0.311277512   0.305489123
## [1022,] 0.358440771   0.352974479
## [1023,] 0.372589749   0.383048538
## [1024,] 0.020437412   0.012662762
## [1025,] 0.081749650   0.090222176
## [1026,] 0.540805374   0.536584522
## [1027,] 0.306561186   0.316569040
## [1028,] 0.081749650   0.090222176
## [1029,] 0.594257068   0.590401259
## [1030,] 0.160355082   0.169364436
## [1031,] 0.389882944   0.384631383
## [1032,] 0.012576869   0.004748536
## [1033,] 0.081749650   0.274465358
## [1034,] 0.410320356   0.405208371
## [1035,] 0.710593107   0.504547736
## [1036,] 0.867803972   0.699301009
## [1037,] 0.581680199   0.577738498
## [1038,] 0.100614953   0.093387867
## [1039,] 0.389882944   0.384631383
## [1040,] 0.456477466   0.451680706
## [1041,] 0.227955754   0.237426780
## [1042,] 0.454339398   0.465356489
## [1043,] 0.389882944   0.384631383
## [1044,] 0.154066647   0.147204604
## [1045,] 0.075461215   0.068062344
## [1046,] 0.553382243   0.565075736
## [1047,] 1.040735923   1.006578747
## [1048,] 0.468488376   0.463773643
## [1049,] 0.161927190   0.155118830
## [1050,] 0.498358440   0.509676154
## [1051,] 0.059740129   0.052233892
## [1052,] 0.547093808   0.542915903
## [1053,] 0.484209463   0.479602095
## [1054,] 0.484209463   0.479602095
## [1055,] 0.075461215   0.068062344
## [1056,] 0.155638756   0.148787449
## [1057,] 0.193369363   0.186775733
## [1058,] 0.290525678   0.300424019
## [1059,] 0.238960514   0.248506696
## [1060,] 0.553382243   0.565075736
## [1061,] 0.100614953   0.093387867
## [1062,] 0.468488376   0.463773643
## [1063,] 0.075461215   0.068062344
## [1064,] 0.174504060   0.167781591
## [1065,] 0.402459813   0.413122597
## [1066,] 0.048861137   0.041280603
## [1067,] 0.468488376   0.463773643
## [1068,] 0.389882944   0.384631383
## [1069,] 0.389882944   0.384631383
## [1070,] 0.592684959   0.604646866
## [1071,] 0.922827775   0.937044358
## [1072,] 1.025014836   0.989484019
## [1073,] 0.003144217   0.011079916
## [1074,] 0.427613551   0.438448120
## [1075,] 0.161927190   0.155118830
## [1076,] 0.498358440   0.509676154
## [1077,] 0.389882944   0.384631383
## [1078,] 0.154066647   0.147204604
## [1079,] 0.311277512   0.305489123
## [1080,] 0.075461215   0.068062344
## [1081,] 0.160355082   0.169364436
## [1082,] 0.594257068   0.590401259
## [1083,] 0.160355082   0.169364436
## [1084,] 0.311277512   0.305489123
## [1085,] 0.081749650   0.074393724
## [1086,] 0.584824416   0.596732640
## [1087,] 0.106903388   0.099719248
## [1088,] 0.581680199   0.577738498
## [1089,] 0.452767290   0.447945191
## [1090,] 0.243378139   0.237126039
## [1091,] 0.515510146   0.526944995
## [1092,] 0.543163537   0.538958790
## [1093,] 0.484209463   0.479602095
## [1094,] 0.581680199   0.577738498
## [1095,] 1.386599825   1.403983692
## [1096,] 0.110047605   0.102884938
## [1097,] 0.581680199   0.577738498
## [1098,] 0.081749650   0.090222176
## [1099,] 0.410477567   0.405366655
## [1100,] 0.710593107   0.964696663
## [1101,] 1.103620269   1.119071556
## [1102,] 0.867803972   0.818584223
## [1103,] 0.548665917   0.544498748
## [1104,] 0.581680199   0.577738498
## [1105,] 0.547093808   0.542915903
## [1106,] 0.334859141   0.329231801
## [1107,] 0.483580619   0.478968957
## [1108,] 0.538290000   0.549880422
## [1109,] 0.370231586   0.364845818
## [1110,] 0.297914588   0.307863391
## [1111,] 0.238960514   0.079712084
## [1112,] 0.474776811   0.212417826
## [1113,] 0.405604030   0.400459835
## [1114,] 0.270402687   0.280163600
## [1115,] 0.441762529   0.436865275
## [1116,] 0.238960514   0.248506696
## [1117,] 0.474776811   0.485933476
## [1118,] 0.389882944   0.384631383
## [1119,] 0.710593107   0.504547736
## [1120,] 0.867803972   0.699301009
## [1121,] 0.161927190   0.155118830
## [1122,] 0.498358440   0.509676154
## [1123,] 0.311277512   0.305489123
## [1124,] 0.317565946   0.327648956
## [1125,] 0.396171378   0.406791216
## [1126,] 0.553382243   0.565075736
## [1127,] 0.003144217   0.011079916
## [1128,] 0.396171378   0.406791216
## [1129,] 0.160355082   0.169364436
## [1130,] 0.232672079   0.226346863
## [1131,] 0.075461215   0.068062344
## [1132,] 0.562814895   0.558744355
## [1133,] 0.232672079   0.226346863
## [1134,] 0.356491356   0.351011751
## [1135,] 0.468488376   0.463773643
## [1136,] 0.081749650   0.090222176
## [1137,] 0.474776811   0.485933476
## [1138,] 0.581680199   0.577738498
## [1139,] 0.081749650   0.090222176
## [1140,] 0.018865304   0.011079916
## [1141,] 0.367873423   0.378300003
## [1142,] 0.389882944   0.384631383
## [1143,] 0.566918098   0.578704033
## [1144,] 0.071829644   0.080234423
## [1145,] 0.388232230   0.398797848
## [1146,] 0.631987675   0.407171099
## [1147,] 0.946409404   0.796677646
## [1148,] 0.374161857   0.368802931
## [1149,] 0.075461215   0.068062344
## [1150,] 0.867803972   0.881644776
## [1151,] 0.044019042   0.036405440
## [1152,] 0.396171378   0.406791216
## [1153,] 0.718453651   0.731274482
## [1154,] 0.003144217   0.011079916
## [1155,] 0.474776811   0.485933476
## [1156,] 0.710593107   0.723360256
## [1157,] 0.804919626   0.818330968
## [1158,] 0.421325117   0.416288287
## [1159,] 0.378878183   0.373551467
## [1160,] 0.581680199   0.577738498
## [1161,] 0.710593107   0.504547736
## [1162,] 0.867803972   0.699301009
## [1163,] 0.616266589   0.387702103
## [1164,] 0.547093808   0.542915903
## [1165,] 0.075461215   0.068062344
## [1166,] 0.311277512   0.305489123
## [1167,] 0.547093808   0.542915903
## [1168,] 0.003144217   0.011079916
## [1169,] 0.238960514   0.248506696
## [1170,] 0.506218984   0.517590380
## [1171,] 0.154066647   0.147204604
## [1172,] 0.389882944   0.384631383
## [1173,] 0.581680199   0.577738498
## [1174,] 0.468488376   0.463773643
## [1175,] 0.378878183   0.373551467
## [1176,] 0.396171378   0.406791216
## [1177,] 0.553382243   0.565075736
## [1178,] 0.529800613   0.525504606
## [1179,] 0.581680199   0.577738498
## [1180,] 0.161927190   0.155118830
## [1181,] 0.498358440   0.509676154
## [1182,] 0.128912909   0.137707532
## [1183,] 0.227955754   0.237426780
## [1184,] 0.547093808   0.542915903
## [1185,] 0.232672079   0.226346863
## [1186,] 0.317565946   0.327648956
## [1187,] 0.411892465   0.422619668
## [1188,] 0.177349576   0.186474993
## [1189,] 0.836959200   0.850589353
## [1190,] 0.320710164   0.330814647
## [1191,] 0.075461215   0.469218631
## [1192,] 0.396171378   0.115041189
## [1193,] 0.122624474   0.115547700
## [1194,] 0.468488376   0.463773643
## [1195,] 0.238960514   0.248506696
## [1196,] 0.468488376   0.463773643
## [1197,] 0.238960514   0.248506696
## [1198,] 0.880380841   0.832260006
## [1199,] 1.163360397   1.139870142
## [1200,] 0.548665917   0.544498748
## [1201,] 0.334859141   0.329231801
## [1202,] 0.584824416   0.580904188
## [1203,] 0.025153738   0.017411297
## [1204,] 0.578535981   0.574572807
## [1205,] 0.311277512   0.305489123
## [1206,] 0.317565946   0.327648956
## [1207,] 0.548665917   0.544498748
## [1208,] 0.594257068   0.590401259
## [1209,] 0.160355082   0.169364436
## [1210,] 0.402459813   0.413122597
## [1211,] 0.154066647   0.147204604
## [1212,] 0.238960514   0.248506696
## [1213,] 0.408748248   0.403625526
## [1214,] 0.003144217   0.011079916
## [1215,] 0.553382243   0.565075736
## [1216,] 0.292412208   0.286494981
## [1217,] 0.586396525   0.582487033
## [1218,] 0.704304673   1.120274518
## [1219,] 0.403057214   0.397895626
## [1220,] 0.537661157   0.533418832
## [1221,] 0.594257068   0.590401259
## [1222,] 0.160355082   0.169364436
## [1223,] 0.154066647   0.147204604
## [1224,] 0.528228505   0.523921761
## [1225,] 0.279835339   0.289660671
## [1226,] 0.278263230   0.288077826
## [1227,] 0.671290391   0.683789126
## [1228,] 0.008646598   0.016619875
## [1229,] 0.161927190   0.155118830
## [1230,] 0.498358440   0.509676154
## [1231,] 0.578535981   0.574572807
## [1232,] 0.539233265   0.535001677
## [1233,] 0.210269531   0.203791319
## [1234,] 0.376520020   0.371177199
## [1235,] 0.106903388   0.115547700
## [1236,] 0.547093808   0.542915903
## [1237,] 0.789198540   0.601924372
## [1238,] 0.789198540   0.601924372
## [1239,] 0.113034612   0.121720796
## [1240,] 0.603296692   0.615331071
## [1241,] 0.389882944   0.384631383
## [1242,] 0.160355082   0.169364436
## [1243,] 0.396171378   0.406791216
## [1244,] 0.581680199   0.577738498
## [1245,] 0.232672079   0.226346863
## [1246,] 0.081749650   0.090222176
## [1247,] 0.389882944   0.384631383
## [1248,] 0.161927190   0.155118830
## [1249,] 0.498358440   0.509676154
## [1250,] 0.581680199   0.577738498
## [1251,] 0.232672079   0.226346863
## [1252,] 0.405604030   0.400459835
## [1253,] 0.317565946   0.017664552
## [1254,] 0.474776811   0.212417826
## [1255,] 0.110047605   0.102884938
## [1256,] 0.227955754   0.221598328
## [1257,] 0.495874509   0.491346807
## [1258,] 0.547093808   0.542915903
## [1259,] 0.311277512   0.305489123
## [1260,] 0.547093808   0.542915903
## [1261,] 0.240532623   0.234261089
## [1262,] 0.161927190   0.155118830
## [1263,] 0.498358440   0.509676154
## [1264,] 0.075461215   0.469218631
## [1265,] 0.396171378   0.115041189
## [1266,] 0.553382243   0.309794462
## [1267,] 0.789198540   0.601924372
## [1268,] 0.075461215   0.068062344
## [1269,] 0.317565946   0.327648956
## [1270,] 0.993572664   0.855116290
## [1271,] 1.103620269   0.991430919
## [1272,] 0.547093808   0.542915903
## [1273,] 0.081749650   0.090222176
## [1274,] 0.238960514   0.248506696
## [1275,] 0.227955754   0.237426780
## [1276,] 0.081749650   0.274465358
## [1277,] 0.474776811   0.212417826
## [1278,] 0.396171378   0.115041189
## [1279,] 0.856013157   0.684707176
## [1280,] 0.154066647   0.147204604
## [1281,] 0.238960514   0.248506696
## [1282,] 0.498358440   0.509676154
## [1283,] 0.320710164   0.330814647
## [1284,] 0.427613551   0.422619668
## [1285,] 0.547093808   0.542915903
## [1286,] 0.389882944   0.384631383
## [1287,] 0.081749650   0.090222176
## [1288,] 0.326998598   0.321317575
## [1289,] 0.106384592   0.099196909
## [1290,] 0.007860543   0.000000000
## [1291,] 0.161927190   0.155118830
## [1292,] 0.498358440   0.509676154
## [1293,] 0.018865304   0.026908368
## [1294,] 0.270402687   0.280163600
## [1295,] 0.065588373   0.073950528
## [1296,] 0.946409404   0.904042035
## [1297,] 1.087899182   1.057847103
## [1298,] 0.578535981   0.574572807
## [1299,] 0.358440771   0.352974479
## [1300,] 0.339575467   0.333980337
## [1301,] 0.548665917   0.544498748
## [1302,] 0.402459813   0.413122597
## [1303,] 0.374161857   0.368802931
## [1304,] 0.160355082   0.169364436
## [1305,] 0.232672079   0.226346863
## [1306,] 0.474776811   0.212417826
## [1307,] 0.789198540   0.601924372
## [1308,] 1.221528417   1.203104807
## [1309,] 0.389882944   0.384631383
## [1310,] 0.003144217   0.011079916
## [1311,] 0.216950993   0.210518411
## [1312,] 0.507791092   0.503344773
## [1313,] 0.015029359   0.023046226
## [1314,] 0.468488376   0.463773643
## [1315,] 0.396171378   0.406791216
## [1316,] 0.553382243   0.565075736
## [1317,] 0.273546904   0.267500839
## [1318,] 0.342719685   0.337146027
## [1319,] 0.232672079   0.226346863
## [1320,] 0.680723043   0.068363084
## [1321,] 0.185508820   0.301025500
## [1322,] 0.415822737   0.410748329
## [1323,] 0.001886530   0.006014812
## [1324,] 0.114763931   0.107633474
## [1325,] 0.455911507   0.451110882
## [1326,] 0.031442173   0.039571130
## [1327,] 0.631987675   0.644217996
## [1328,] 0.789198540   0.802502516
## [1329,] 0.347436011   0.341894563
## [1330,] 0.528228505   0.523921761
## [1331,] 0.081749650   0.035898929
## [1332,] 1.176094477   1.153720037
## [1333,] 0.378878183   0.373551467
## [1334,] 0.161927190   0.155118830
## [1335,] 0.498358440   0.509676154
## [1336,] 0.468488376   0.463773643
## [1337,] 0.341147576   0.335563182
## [1338,] 0.429185660   0.440030965
## [1339,] 0.317565946   0.327648956
## [1340,] 0.474776811   0.485933476
## [1341,] 0.238960514   0.079712084
## [1342,] 0.474776811   0.212417826
## [1343,] 0.084893867   0.077559415
## [1344,] 0.161927190   0.155118830
## [1345,] 0.498358440   0.509676154
## [1346,] 0.389882944   0.384631383
## [1347,] 0.537661157   0.533418832
## [1348,] 0.547093808   0.542915903
## [1349,] 0.364729206   0.375134312
## [1350,] 0.496786332   0.492264857
## [1351,] 0.232672079   0.226346863
## [1352,] 0.081749650   0.090222176
## [1353,] 0.581680199   0.577738498
## [1354,] 0.389882944   0.384631383
## [1355,] 0.223239428   0.232678244
## [1356,] 0.389882944   0.384631383
## [1357,] 0.232672079   0.226346863
## [1358,] 0.484209463   0.479602095
## [1359,] 0.134415289   0.127419039
## [1360,] 0.484209463   0.479602095
## [1361,] 0.018865304   0.026908368
## [1362,] 0.578535981   0.574572807
## [1363,] 0.378878183   0.373551467
## [1364,] 0.232672079   0.226346863
## [1365,] 0.424343565   0.419327350
## [1366,] 0.581680199   0.577738498
## [1367,] 0.452767290   0.447945191
## [1368,] 1.087899182   1.057847103
## [1369,] 0.309705403   0.319734730
## [1370,] 0.161927190   0.155118830
## [1371,] 0.498358440   0.509676154
## [1372,] 0.880380841   0.832260006
## [1373,] 1.087899182   1.057847103
## [1374,] 0.592684959   0.604646866
## [1375,] 0.922827775   0.937044358
## [1376,] 0.168530047   0.161766779
## [1377,] 0.710593107   0.647684427
## [1378,] 0.581680199   0.577738498
## [1379,] 0.578535981   0.574572807
## [1380,] 0.542377482   0.538167368
## [1381,] 0.160355082   0.169364436
## [1382,] 0.396171378   0.406791216
## [1383,] 0.397743487   0.392545609
## [1384,] 0.091182301   0.083890796
## [1385,] 0.043484525   0.051695724
## [1386,] 0.547093808   0.542915903
## [1387,] 0.548665917   0.544498748
## [1388,] 0.396171378   0.406791216
## [1389,] 0.220095210   0.213684102
## [1390,] 0.161927190   0.155118830
## [1391,] 0.498358440   0.509676154
## [1392,] 0.236602351   0.230303976
## [1393,] 0.161927190   0.155118830
## [1394,] 0.498358440   0.509676154
## [1395,] 0.710593107   0.647684427
## [1396,] 0.547093808   0.542915903
## [1397,] 0.533762327   0.529493376
## [1398,] 0.357623275   0.367979852
## [1399,] 0.581680199   0.577738498
## [1400,] 0.317565946   0.327648956
## [1401,] 0.631987675   0.644217996
## [1402,] 0.531372722   0.527087451
## [1403,] 0.306561186   0.316569040
## [1404,] 0.548665917   0.544498748
## [1405,] 0.468488376   0.463773643
## [1406,] 0.075461215   0.068062344
## [1407,] 0.474776811   0.485933476
## [1408,] 1.025014836   0.894054282
## [1409,] 1.103620269   0.991430919
## [1410,] 0.631987675   0.644217996
## [1411,] 0.789198540   0.802502516
## [1412,] 0.389882944   0.384631383
## [1413,] 0.553382243   1.236708611
## [1414,] 0.084893867   0.077559415
## [1415,] 0.537661157   0.533418832
## [1416,] 0.457892364   0.453105267
## [1417,] 0.468488376   0.463773643
## [1418,] 0.553382243   0.565075736
## [1419,] 0.389882944   0.384631383
## [1420,] 0.184879977   0.178228369
## [1421,] 0.441762529   0.436865275
## [1422,] 0.100614953   0.093387867
## [1423,] 0.521940070   0.533418832
## [1424,] 0.238960514   0.248506696
## [1425,] 0.238960514   0.248506696
## [1426,] 0.333287033   0.343477408
## [1427,] 0.075461215   0.068062344
## [1428,] 0.238960514   0.248506696
## [1429,] 0.075461215   0.068062344
## [1430,] 0.553382243   0.565075736
## [1431,] 0.946409404   0.904042035
## [1432,] 1.087899182   1.057847103
## [1433,] 0.238960514   0.248506696
## [1434,] 0.474776811   0.485933476
## [1435,] 0.154066647   0.147204604
## [1436,] 0.317565946   0.327648956
## [1437,] 0.389882944   0.384631383
## [1438,] 0.360012880   0.354557325
## [1439,] 0.342719685   0.337146027
## [1440,] 0.160355082   0.169364436
## [1441,] 0.166643516   0.175695817
## [1442,] 0.301844860   0.311820504
## [1443,] 0.521940070   0.533418832
## [1444,] 0.710593107   0.723360256
## [1445,] 0.484209463   0.479602095
## [1446,] 0.018865304   0.026908368
## [1447,] 0.057067544   0.065371507
## [1448,] 0.273546904   0.267500839
## [1449,] 0.136773452   0.129793306
## [1450,] 0.326998598   0.321317575
## [1451,] 0.539233265   0.535001677
## [1452,] 0.075461215   0.068062344
## [1453,] 0.389882944   0.384631383
## [1454,] 0.081749650   0.274465358
## [1455,] 0.710593107   0.504547736
## [1456,] 0.389882944   0.384631383
## [1457,] 0.161927190   0.155118830
## [1458,] 0.498358440   0.509676154
## [1459,] 0.468488376   0.463773643
## [1460,] 0.317565946   0.327648956
## [1461,] 0.044019042   0.036405440
## [1462,] 0.154066647   0.147204604
## [1463,] 0.075461215   0.068062344
## [1464,] 0.468488376   0.463773643
## [1465,] 1.103620269   1.119071556
## [1466,] 0.176076168   0.185192888
## [1467,] 0.223239428   0.232678244
## [1468,] 0.301844860   0.311820504
## [1469,] 0.429185660   0.424202513
## [1470,] 0.161927190   0.155118830
## [1471,] 0.498358440   0.509676154
## [1472,] 0.581680199   0.577738498
## [1473,] 0.117122094   0.125836193
## [1474,] 0.474776811   0.485933476
## [1475,] 0.232672079   0.226346863
## [1476,] 0.440190421   0.435282430
## [1477,] 0.333287033   0.343477408
## [1478,] 0.474776811   0.485933476
## [1479,] 0.592684959   0.604646866
## [1480,] 0.553382243   0.309794462
## [1481,] 0.867803972   0.699301009
## [1482,] 0.578535981   0.574572807
## [1483,] 0.358440771   0.352974479
## [1484,] 0.547093808   0.542915903
## [1485,] 0.594257068   0.590401259
## [1486,] 0.331353339   0.325702057
## [1487,] 0.341147576   0.335563182
## [1488,] 0.161927190   0.155118830
## [1489,] 0.498358440   0.509676154
## [1490,] 0.154066647   0.147204604
## [1491,] 0.547093808   0.542915903
## [1492,] 0.326998598   0.321317575
## [1493,] 0.342719685   0.337146027
## [1494,] 0.114763931   0.107633474
## [1495,] 0.547093808   0.542915903
## [1496,] 0.075461215   0.068062344
## [1497,] 0.378878183   0.373551467
## [1498,] 0.484209463   0.479602095
## [1499,] 0.018865304   0.026908368
## [1500,] 0.064189196   0.056713343
## [1501,] 0.499930549   0.495430547
## [1502,] 0.232672079   0.226346863
## [1503,] 0.075461215   0.068062344
## [1504,] 0.581680199   0.577738498
## [1505,] 0.081749650   0.090222176
## [1506,] 0.474776811   0.485933476
## [1507,] 0.110047605   0.102884938
## [1508,] 1.025014836   0.894054282
## [1509,] 1.103620269   0.991430919
## [1510,] 0.210269531   0.203791319
## [1511,] 0.389882944   0.384631383
## [1512,] 0.081749650   0.090222176
## [1513,] 0.191797255   0.126437675
## [1514,] 1.290701197   1.278305783
## [1515,] 0.408748248   0.403625526
## [1516,] 0.410713383   0.405604082
## [1517,] 0.081749650   0.074393724
## [1518,] 0.584824416   0.596732640
## [1519,] 0.161927190   0.155118830
## [1520,] 0.498358440   0.509676154
## [1521,] 0.547093808   0.542915903
## [1522,] 0.081749650   0.090222176
## [1523,] 0.519424696   0.515057828
## [1524,] 0.468488376   0.463773643
## [1525,] 0.553382243   0.565075736
## [1526,] 0.091182301   0.083890796
## [1527,] 0.227955754   0.237426780
## [1528,] 0.238960514   0.248506696
## [1529,] 0.553382243   0.565075736
## [1530,] 0.000000000   0.007914226
## [1531,] 1.276552220   1.262920527
## [1532,] 0.311277512   0.463140505
## [1533,] 0.389882944   0.384631383
## [1534,] 0.003144217   0.011079916
## [1535,] 0.553382243   0.565075736
## [1536,] 0.547093808   0.542915903
## [1537,] 0.232672079   0.226346863
## [1538,] 0.154066647   0.147204604
## [1539,] 0.317565946   0.327648956
## [1540,] 0.581680199   0.577738498
## [1541,] 0.166643516   0.175695817
## [1542,] 0.301844860   0.311820504
## [1543,] 0.248393166   0.242175315
## [1544,] 0.057067544   0.065371507
## [1545,] 0.311277512   0.305489123
## [1546,] 0.499930549   0.495430547
## [1547,] 0.023896051   0.016145021
## [1548,] 0.424469334   0.419453978
## [1549,] 0.437046203   0.432116739
## [1550,] 0.122624474   0.115547700
## [1551,] 0.003144217   0.011079916
## [1552,] 0.474776811   0.485933476
## [1553,] 0.531372722   0.527087451
## [1554,] 0.008646598   0.016619875
## [1555,] 0.290840099   0.284912136
## [1556,] 0.007860543   0.000000000
## [1557,] 0.427613551   0.438448120
## [1558,] 0.248393166   0.242175315
## [1559,] 0.427613551   0.438448120
## [1560,] 0.308133294   0.318151885
## [1561,] 0.884861351   0.898818646
## [1562,] 0.427613551   0.438448120
## [1563,] 0.584824416   0.596732640
## [1564,] 0.875664515   0.827131587
## [1565,] 0.996433901   0.958412768
## [1566,] 0.014148978   0.022159833
## [1567,] 0.833217582   0.780991650
## [1568,] 0.957854355   0.916483199
## [1569,] 0.050307477   0.058565272
## [1570,] 0.547093808   0.542915903
## [1571,] 0.081749650   0.090222176
## [1572,] 0.223239428   0.232678244
## [1573,] 0.301844860   0.311820504
## [1574,] 0.484209463   0.479602095
## [1575,] 0.547093808   0.542915903
## [1576,] 1.407634638   1.412610198
## [1577,] 0.356491356   0.351011751
## [1578,] 0.091182301   0.083890796
## [1579,] 0.018865304   0.026908368
## [1580,] 0.358440771   0.352974479
## [1581,] 0.372589749   0.383048538
## [1582,] 0.867803972   0.699301009
## [1583,] 1.103620269   0.991430919
## [1584,] 0.117122094   0.125836193
## [1585,] 0.474776811   0.485933476
## [1586,] 0.207518341   0.216849792
## [1587,] 0.311277512   0.305489123
## [1588,] 0.581680199   0.577738498
## [1589,] 0.430757769   0.425785359
## [1590,] 0.372589749   0.383048538
## [1591,] 0.468488376   0.463773643
## [1592,] 0.484209463   0.479602095
## [1593,] 0.804919626   0.818330968
## [1594,] 1.087899182   1.103243104
## [1595,] 0.212549089   0.206086445
## [1596,] 0.529800613   0.525504606
## [1597,] 0.547093808   0.542915903
## [1598,] 0.160355082   0.169364436
## [1599,] 0.484209463   0.479602095
## [1600,] 0.020437412   0.012662762
## [1601,] 0.356868662   0.367220086
## [1602,] 0.619410806   0.631555234
## [1603,] 0.389882944   0.384631383
## [1604,] 0.548665917   0.544498748
## [1605,] 0.378878183   0.373551467
## [1606,] 0.356491356   0.351011751
## [1607,] 0.547093808   0.542915903
## [1608,] 0.081749650   0.090222176
## [1609,] 0.081749650   0.274465358
## [1610,] 0.317565946   0.017664552
## [1611,] 0.510935310   0.506510464
## [1612,] 0.429185660   0.424202513
## [1613,] 0.630415567   0.642635151
## [1614,] 0.952068995   0.966485279
## [1615,] 0.110047605   0.102884938
## [1616,] 0.279835339   0.273832219
## [1617,] 0.542377482   0.538167368
## [1618,] 0.012576869   0.004748536
## [1619,] 0.334859141   0.329231801
## [1620,] 0.547093808   0.542915903
## [1621,] 0.311277512   0.305489123
## [1622,] 0.631987675   0.644217996
## [1623,] 0.389882944   0.384631383
## [1624,] 0.081749650   0.090222176
## [1625,] 0.264114252   0.258003767
## [1626,] 0.317565946   0.327648956
## [1627,] 0.553382243   0.565075736
## [1628,] 0.468488376   0.463773643
## [1629,] 0.311277512   0.305489123
## [1630,] 0.468488376   0.463773643
## [1631,] 0.044019042   0.036405440
## [1632,] 0.537661157   0.533418832
## [1633,] 0.232672079   0.377698521
## [1634,] 0.867803972   0.881644776
## [1635,] 0.238960514   0.248506696
## [1636,] 0.553382243   0.565075736
## [1637,] 0.396171378   0.406791216
## [1638,] 0.154066647   0.147204604
## [1639,] 0.036158499   0.028491214
## [1640,] 0.132843180   0.141664645
## [1641,] 0.018865304   0.026908368
## [1642,] 0.339575467   0.333980337
## [1643,] 0.547093808   0.542915903
## [1644,] 0.317565946   0.327648956
## [1645,] 0.581680199   0.577738498
## [1646,] 0.227955754   0.237426780
## [1647,] 0.547093808   0.542915903
## [1648,] 0.160355082   0.169364436
## [1649,] 0.529800613   0.525504606
## [1650,] 0.000000000   0.007914226
## [1651,] 0.429185660   0.424202513
## [1652,] 0.227955754   0.237426780
## [1653,] 0.519424696   0.515057828
## [1654,] 0.000000000   0.007914226
## [1655,] 0.180949705   0.174271256
## [1656,] 0.548665917   0.544498748
## [1657,] 0.227955754   0.237426780
## [1658,] 0.232672079   0.226346863
## [1659,] 0.227955754   0.237426780
## [1660,] 0.000000000   0.007914226
## [1661,] 0.311277512   0.305489123
## [1662,] 0.081749650   0.090222176
## [1663,] 0.000000000   0.007914226
## [1664,] 0.161927190   0.155118830
## [1665,] 0.498358440   0.509676154
## [1666,] 0.240532623   0.234261089
## [1667,] 0.547093808   0.542915903
## [1668,] 0.020437412   0.012662762
## [1669,] 0.311277512   0.305489123
## [1670,] 0.358440771   0.352974479
## [1671,] 0.372589749   0.383048538
## [1672,] 0.264114252   0.258003767
## [1673,] 0.014148978   0.022159833
## [1674,] 0.342719685   0.337146027
## [1675,] 0.515651636   0.511258999
## [1676,] 0.264114252   0.258003767
## [1677,] 0.587968633   0.584069878
## [1678,] 0.547093808   0.542915903
## [1679,] 0.106903388   0.099719248
## [1680,] 0.531372722   0.527087451
## [1681,] 0.306561186   0.316569040
## [1682,] 1.087899182   1.103243104
## [1683,] 0.389882944   0.384631383
## [1684,] 0.218994734   0.228404562
## [1685,] 0.548665917   0.544498748
## [1686,] 0.484209463   0.479602095
## [1687,] 0.208147185   0.201654478
## [1688,] 0.389882944   0.384631383
## [1689,] 0.529800613   0.525504606
## [1690,] 0.408748248   0.403625526
## [1691,] 0.238960514   0.079712084
## [1692,] 0.553382243   0.309794462
## [1693,] 0.529800613   0.525504606
## [1694,] 0.278263230   0.288077826
## [1695,] 0.671290391   0.683789126
## [1696,] 0.008646598   0.016619875
## [1697,] 0.484209463   0.479602095
## [1698,] 0.229527862   0.239009625
## [1699,] 1.025014836   0.894054282
## [1700,] 1.103620269   0.991430919
## [1701,] 0.317565946   0.220442851
## [1702,] 0.238174460   0.231886822
## [1703,] 0.484209463   0.495430547
## [1704,] 0.075461215   0.068062344
## [1705,] 0.402459813   0.413122597
## [1706,] 0.631987675   0.644217996
## [1707,] 0.789198540   0.802502516
## [1708,] 0.267258470   0.261169458
## [1709,] 0.081749650   0.090222176
## [1710,] 0.474776811   0.485933476
## [1711,] 0.405604030   0.400459835
## [1712,] 0.066028563   0.074393724
## [1713,] 0.389882944   0.384631383
## [1714,] 0.301844860   0.295992052
## [1715,] 0.468488376   0.463773643
## [1716,] 0.075461215   0.068062344
## [1717,] 0.358440771   0.352974479
## [1718,] 0.075461215   0.068062344
## [1719,] 0.515651636   0.511258999
## [1720,] 0.207518341   0.216849792
## [1721,] 0.515651636   0.511258999
## [1722,] 0.207518341   0.216849792
## [1723,] 0.547093808   0.542915903
## [1724,] 0.232672079   0.226346863
## [1725,] 0.297128534   0.291243517
## [1726,] 0.515651636   0.511258999
## [1727,] 0.207518341   0.216849792
## [1728,] 0.177365297   0.186490821
## [1729,] 0.836959200   0.850589353
## [1730,] 0.081749650   0.035898929
## [1731,] 0.334654767   0.239025454
## [1732,] 0.537661157   0.533418832
## [1733,] 0.389882944   0.384631383
## [1734,] 0.160355082   0.169364436
## [1735,] 0.547093808   0.542915903
## [1736,] 0.091559607   0.371113885
## [1737,] 0.344606215   0.696467716
## [1738,] 0.278263230   0.288077826
## [1739,] 0.671290391   0.683789126
## [1740,] 0.044019042   0.036405440
## [1741,] 0.581680199   0.577738498
## [1742,] 0.515651636   0.511258999
## [1743,] 0.207518341   0.216849792
## [1744,] 0.631987675   0.644217996
## [1745,] 0.946409404   0.960787036
## [1746,] 0.531372722   0.527087451
## [1747,] 0.297128534   0.291243517
## [1748,] 0.220299584   0.213889872
## [1749,] 0.547093808   0.542915903
## [1750,] 0.547093808   0.542915903
## [1751,] 0.048861137   0.041280603
## [1752,] 0.084893867   0.077559415
## [1753,] 0.048861137   0.041280603
## [1754,] 0.542377482   0.538167368
## [1755,] 0.521940070   0.442611003
## [1756,] 0.717431780   0.655123799
## [1757,] 0.429185660   0.424202513
## [1758,] 0.474776811   0.485933476
## [1759,] 0.631987675   0.644217996
## [1760,] 0.248393166   0.242175315
## [1761,] 0.427613551   0.438448120
## [1762,] 0.553382243   0.476800459
## [1763,] 0.744770749   0.684849632
## [1764,] 0.529800613   0.525504606
## [1765,] 0.581680199   0.577738498
## [1766,] 0.232672079   0.226346863
## [1767,] 0.484209463   0.479602095
## [1768,] 0.710593107   0.647684427
## [1769,] 0.176076168   0.185192888
## [1770,] 0.366301314   0.376717157
## [1771,] 0.547093808   0.542915903
## [1772,] 0.474776811   0.212417826
## [1773,] 0.789198540   0.601924372
## [1774,] 0.067600672   0.060148118
## [1775,] 0.160355082   0.169364436
## [1776,] 0.364729206   0.375134312
## [1777,] 0.396171378   0.406791216
## [1778,] 0.553382243   0.565075736
## [1779,] 0.389882944   0.384631383
## [1780,] 0.084893867   0.077559415
## [1781,] 0.215378884   0.208935566
## [1782,] 0.003144217   0.011079916
## [1783,] 0.594257068   0.590401259
## [1784,] 0.547093808   0.542915903
## [1785,] 0.529171770   0.524871468
## [1786,] 0.226540856   0.220173767
## [1787,] 0.468488376   0.463773643
## [1788,] 0.003144217   0.011079916
## [1789,] 0.631987675   0.644217996
## [1790,] 0.008646598   0.016619875
## [1791,] 0.311277512   0.305489123
## [1792,] 0.468488376   0.463773643
## [1793,] 0.081749650   0.090222176
## [1794,] 0.081749650   0.090222176
## [1795,] 0.726314194   0.739188708
## [1796,] 0.757756367   0.562986380
## [1797,] 0.993572664   0.855116290
## [1798,] 0.474776811   0.212417826
## [1799,] 0.631987675   0.407171099
## [1800,] 1.418041998   1.435640596
## [1801,] 0.710593107   0.647684427
## [1802,] 0.253109492   0.262752303
## [1803,] 0.378878183   0.373551467
## [1804,] 0.075461215   0.068062344
## [1805,] 0.547093808   0.542915903
## [1806,] 0.081749650   0.090222176
## [1807,] 0.154066647   0.147204604
## [1808,] 0.227955754   0.221598328
## [1809,] 0.176076168   0.185192888
## [1810,] 0.366301314   0.376717157
## [1811,] 0.389882944   0.384631383
## [1812,] 0.547093808   0.542915903
## [1813,] 0.264114252   0.411872149
## [1814,] 0.232672079   0.226346863
## [1815,] 0.177365297   0.186490821
## [1816,] 0.836959200   0.850589353
## [1817,] 0.389882944   0.384631383
## [1818,] 0.452767290   0.447945191
## [1819,] 0.018865304   0.026908368
## [1820,] 0.301844860   0.311820504
## [1821,] 0.264114252   0.258003767
## [1822,] 0.075461215   0.068062344
## [1823,] 0.238960514   0.248506696
## [1824,] 0.564387003   0.560327200
## [1825,] 0.174504060   0.183610043
## [1826,] 0.378878183   0.373551467
## [1827,] 0.547093808   0.542915903
## [1828,] 0.326998598   0.321317575
## [1829,] 0.389882944   0.384631383
## [1830,] 0.317565946   0.017664552
## [1831,] 0.474776811   0.212417826
## [1832,] 0.521940070   0.442611003
## [1833,] 0.396171378   0.305900663
## [1834,] 0.084893867   0.077559415
## [1835,] 0.378878183   0.373551467
## [1836,] 0.578535981   0.574572807
## [1837,] 0.529800613   0.525504606
## [1838,] 0.378878183   0.373551467
## [1839,] 0.581680199   0.577738498
## [1840,] 0.468488376   0.463773643
## [1841,] 0.075461215   0.068062344
## [1842,] 0.048861137   0.041280603
## [1843,] 0.213806776   0.207352721
## [1844,] 0.474776811   0.485933476
## [1845,] 0.389882944   0.384631383
## [1846,] 0.048861137   0.041280603
## [1847,] 0.227955754   0.221598328
## [1848,] 0.402459813   0.397294145
## [1849,] 0.282979556   0.292826362
## [1850,] 0.867803972   0.699301009
## [1851,] 1.025014836   0.894054282
## [1852,] 0.581680199   0.577738498
## [1853,] 0.084893867   0.077559415
## [1854,] 0.581680199   0.577738498
## [1855,] 0.581680199   0.577738498
## [1856,] 0.378878183   0.373551467
## [1857,] 0.287239970   0.281287420
## [1858,] 0.025153738   0.017411297
## [1859,] 1.025014836   1.039929296
## [1860,] 0.616266589   0.545147715
## [1861,] 0.311277512   0.305489123
## [1862,] 0.238960514   0.248506696
## [1863,] 0.484209463   0.479602095
## [1864,] 0.880380841   0.832260006
## [1865,] 1.087899182   1.057847103
## [1866,] 0.499836223   0.495335577
## [1867,] 0.057067544   0.065371507
## [1868,] 0.232672079   0.226346863
## [1869,] 0.138345561   0.131376152
## [1870,] 0.081749650   0.090222176
## [1871,] 0.484209463   0.479602095
## [1872,] 0.091182301   0.083890796
## [1873,] 0.537661157   0.533418832
## [1874,] 0.075461215   0.068062344
## [1875,] 0.238174460   0.231886822
## [1876,] 0.484209463   0.495430547
## [1877,] 1.182225701   1.160383815
## [1878,] 0.220881265   0.214475524
## [1879,] 0.484209463   0.479602095
## [1880,] 0.223239428   0.232678244
## [1881,] 0.364729206   0.375134312
## [1882,] 0.358991009   0.369356927
## [1883,] 0.311277512   0.305489123
## [1884,] 0.290840099   0.284912136
## [1885,] 0.100614953   0.093387867
## [1886,] 0.421325117   0.432116739
## [1887,] 0.389914386   0.384663040
## [1888,] 0.523386410   0.534875050
## [1889,] 0.421325117   0.416288287
## [1890,] 0.075461215   0.068062344
## [1891,] 0.389882944   0.384631383
## [1892,] 0.378878183   0.373551467
## [1893,] 0.207518341   0.216849792
## [1894,] 1.056457009   1.071586200
## [1895,] 0.154066647   0.147204604
## [1896,] 0.018865304   0.026908368
## [1897,] 0.301844860   0.311820504
## [1898,] 0.049049790   0.041470544
## [1899,] 0.160355082   0.169364436
## [1900,] 0.364729206   0.375134312
## [1901,] 0.176076168   0.185192888
## [1902,] 0.168750142   0.161988378
## [1903,] 0.369980048   0.380421015
## [1904,] 0.075461215   0.068062344
## [1905,] 0.411892465   0.422619668
## [1906,] 0.106903388   0.099719248
## [1907,] 0.122624474   0.115547700
## [1908,] 0.311277512   0.305489123
## [1909,] 0.311277512   0.305489123
## [1910,] 0.075461215   0.068062344
## [1911,] 0.238960514   0.248506696
## [1912,] 0.484209463   0.479602095
## [1913,] 0.075461215   0.068062344
## [1914,] 0.396171378   0.406791216
## [1915,] 0.154066647   0.147204604
## [1916,] 0.474776811   0.485933476
## [1917,] 0.529171770   0.524871468
## [1918,] 0.275433435   0.269400253
## [1919,] 0.547093808   0.542915903
## [1920,] 0.326998598   0.321317575
## [1921,] 0.201229907   0.194689959
## [1922,] 0.402459813   0.413122597
## [1923,] 0.227955754   0.221598328
## [1924,] 0.290840099   0.284912136
## [1925,] 0.232672079   0.226346863
## [1926,] 0.075461215   0.068062344
## [1927,] 0.081749650   0.090222176
## [1928,] 0.474776811   0.485933476
## [1929,] 0.515651636   0.511258999
## [1930,] 0.468488376   0.463773643
## [1931,] 0.003144217   0.011079916
## [1932,] 0.547093808   0.542915903
## [1933,] 0.339575467   0.333980337
## [1934,] 0.185508820   0.178861507
## [1935,] 0.007860543   0.000000000
## [1936,] 0.044019042   0.036405440
## [1937,] 0.389882944   0.384631383
## [1938,] 0.468488376   0.463773643
## [1939,] 0.468488376   0.463773643
## [1940,] 0.484209463   0.479602095
## [1941,] 0.468488376   0.463773643
## [1942,] 0.160355082   0.169364436
## [1943,] 0.317565946   0.327648956
## [1944,] 0.238960514   0.079712084
## [1945,] 0.474776811   0.212417826
## [1946,] 0.576177818   0.588026991
## [1947,] 0.238960514   0.248506696
## [1948,] 0.710593107   0.723360256
## [1949,] 0.548665917   0.544498748
## [1950,] 0.084893867   0.077559415
## [1951,] 0.301844860   0.295992052
## [1952,] 0.537661157   0.533418832
## [1953,] 0.548665917   0.544498748
## [1954,] 0.091182301   0.083890796
## [1955,] 1.025014836   0.894054282
## [1956,] 1.119341355   1.010915743
## [1957,] 0.484209463   0.479602095
## [1958,] 0.018865304   0.026908368
## [1959,] 0.396171378   0.406791216
## [1960,] 0.828501256   0.842073646
## [1961,] 0.154066647   0.147204604
## [1962,] 0.149350321   0.142456068
## [1963,] 0.075461215   0.068062344
## [1964,] 0.160355082   0.169364436
## [1965,] 0.553382243   0.565075736
## [1966,] 0.232672079   0.226346863
## [1967,] 0.176076168   0.185192888
## [1968,] 0.311277512   0.305489123
## [1969,] 0.378878183   0.373551467
## [1970,] 0.238174460   0.231886822
## [1971,] 0.484209463   0.495430547
## [1972,] 0.452767290   0.447945191
## [1973,] 0.232672079   0.226346863
## [1974,] 0.823784930   0.770734813
## [1975,] 1.012437967   0.975808237
## [1976,] 0.025153738   0.017411297
## [1977,] 0.378878183   0.373551467
## [1978,] 0.358440771   0.352974479
## [1979,] 0.372589749   0.383048538
## [1980,] 0.548665917   0.544498748
## [1981,] 0.068040862   0.060591314
## [1982,] 0.455911507   0.451110882
## [1983,] 0.031442173   0.039571130
## [1984,] 0.290840099   0.284912136
## [1985,] 0.177349576   0.186474993
## [1986,] 0.836959200   0.850589353
## [1987,] 0.177349576   0.186474993
## [1988,] 0.836959200   0.850589353
## [1989,] 0.154066647   0.147204604
## [1990,] 0.229527862   0.223181173
## [1991,] 0.474776811   0.485933476
## [1992,] 0.154066647   0.147204604
## [1993,] 0.484209463   0.479602095
## [1994,] 0.421325117   0.416288287
## [1995,] 0.572247547   0.568241426
## [1996,] 0.169787734   0.178861507
## [1997,] 0.468488376   0.463773643
## [1998,] 0.044019042   0.036405440
## [1999,] 0.264114252   0.258003767
## [2000,] 0.176076168   0.185192888
## [2001,] 0.396171378   0.406791216
## [2002,] 0.828501256   0.842073646
## [2003,] 0.177648277   0.170947282
## [2004,] 0.484209463   0.479602095
## [2005,] 0.484209463   0.479602095
## [2006,] 0.867803972   0.699301009
## [2007,] 1.103620269   0.991430919
## [2008,] 0.547093808   0.542915903
## [2009,] 0.003144217   0.121340913
## [2010,] 0.861515537   0.203221495
## [2011,] 0.553382243   0.309794462
## [2012,] 0.020437412   0.012662762
## [2013,] 0.122624474   0.131376152
## [2014,] 0.548665917   0.544498748
## [2015,] 0.468488376   0.463773643
## [2016,] 0.044019042   0.036405440
## [2017,] 0.789198540   1.028105442
## [2018,] 0.232672079   0.226346863
## [2019,] 0.176940828   0.170235001
## [2020,] 0.311277512   0.305489123
## [2021,] 0.220881265   0.214475524
## [2022,] 0.160355082   0.169364436
## [2023,] 0.459055724   0.470105024
## [2024,] 0.396171378   0.406791216
## [2025,] 0.828501256   0.842073646
## [2026,] 0.405604030   0.400459835
## [2027,] 0.389882944   0.384631383
## [2028,] 0.547093808   0.542915903
## [2029,] 0.154066647   0.147204604
## [2030,] 0.007860543   0.000000000
## [2031,] 0.484209463   0.479602095
## [2032,] 0.018865304   0.026908368
## [2033,] 0.515651636   0.511258999
## [2034,] 0.600545502   0.612561092
## [2035,] 0.468488376   0.463773643
## [2036,] 0.396171378   0.406791216
## [2037,] 0.710593107   0.723360256
## [2038,] 4.005732827   1.382124599
## [2039,] 0.539233265   0.535001677
## [2040,] 0.358440771   0.352974479
## [2041,] 0.372589749   0.383048538
## [2042,] 0.232672079   0.226346863
## [2043,] 0.334859141   0.329231801
## [2044,] 0.427613551   0.438448120
## [2045,] 0.008646598   0.016619875
## [2046,] 0.437046203   0.432116739
## [2047,] 0.232672079   0.226346863
## [2048,] 0.081749650   0.090222176
## [2049,] 0.553382243   0.565075736
## [2050,] 1.025014836   1.039929296
## [2051,] 0.134415289   0.127419039
## [2052,] 0.374161857   0.368802931
## [2053,] 0.235187453   0.228879416
## [2054,] 0.547093808   0.542915903
## [2055,] 0.075461215   0.068062344
## [2056,] 0.389882944   0.384631383
## [2057,] 0.484209463   0.479602095
## [2058,] 0.317565946   0.327648956
## [2059,] 0.518009798   0.529461719
## [2060,] 0.389882944   0.384631383
## [2061,] 0.389882944   0.384631383
## [2062,] 0.007860543   0.000000000
## [2063,] 1.307994392   1.297094155
## [2064,] 0.349008119   0.359305860
## [2065,] 0.648227558   0.660568787
## [2066,] 0.099828899   0.092596444
## [2067,] 0.594257068   0.590401259
## [2068,] 0.441762529   0.436865275
## [2069,] 0.389882944   0.384631383
## [2070,] 0.396171378   0.406791216
## [2071,] 0.389882944   0.548582489
## [2072,] 1.103620269   0.991430919
## [2073,] 1.103620269   0.991430919
## [2074,] 0.581680199   0.577738498
## [2075,] 0.028297956   0.020576988
## [2076,] 0.177349576   0.186474993
## [2077,] 0.836959200   0.850589353
## [2078,] 0.358440771   0.352974479
## [2079,] 0.372589749   0.383048538
## [2080,] 0.243378139   0.237126039
## [2081,] 0.515510146   0.526944995
## [2082,] 0.396171378   0.406791216
## [2083,] 0.828501256   0.842073646
## [2084,] 0.484209463   0.479602095
## [2085,] 0.018865304   0.026908368
## [2086,] 1.411753563   1.066995949
## [2087,] 0.020437412   0.012662762
## [2088,] 0.548665917   0.544498748
## [2089,] 0.167115149   0.160342219
## [2090,] 0.311277512   0.305489123
## [2091,] 0.867803972   0.881644776
## [2092,] 0.531372722   0.527087451
## [2093,] 0.578535981   0.574572807
## [2094,] 0.616266589   0.628389544
## [2095,] 0.836361799   0.849987872
## [2096,] 0.081749650   0.074393724
## [2097,] 0.584824416   0.596732640
## [2098,] 0.547093808   0.542915903
## [2099,] 0.232672079   0.226346863
## [2100,] 0.548665917   0.544498748
## [2101,] 0.126083113   0.119029959
## [2102,] 0.402459813   0.413122597
## [2103,] 0.484209463   0.479602095
## [2104,] 0.405604030   0.400459835
## [2105,] 0.003144217   0.011079916
## [2106,] 0.553382243   0.565075736
## [2107,] 0.290840099   0.300740588
## [2108,] 0.154066647   0.147204604
## [2109,] 0.484209463   0.479602095
## [2110,] 0.223239428   0.605928971
## [2111,] 0.238960514   0.248506696
## [2112,] 0.539233265   0.535001677
## [2113,] 0.415822737   0.410748329
## [2114,] 0.001886530   0.006014812
## [2115,] 0.484209463   0.479602095
## [2116,] 0.333287033   0.327648956
## [2117,] 0.226540856   0.220173767
## [2118,] 0.081749650   0.090222176
## [2119,] 0.334859141   0.329231801
## [2120,] 0.427613551   0.438448120
## [2121,] 0.946409404   0.904042035
## [2122,] 1.087899182   1.057847103
## [2123,] 0.334859141   0.329231801
## [2124,] 0.427613551   0.438448120
## [2125,] 0.020437412   0.012662762
## [2126,] 0.003144217   0.011079916
## [2127,] 0.553382243   0.565075736
## [2128,] 0.144633995   0.153535984
## [2129,] 0.521940070   0.533418832
## [2130,] 0.389882944   0.384631383
## [2131,] 0.075461215   0.068062344
## [2132,] 0.484209463   0.479602095
## [2133,] 0.160355082   0.026528486
## [2134,] 0.914967231   0.869852579
## [2135,] 0.551024080   0.546873016
## [2136,] 0.404031922   0.398876990
## [2137,] 0.295556425   0.289660671
## [2138,] 0.389882944   0.384631383
## [2139,] 0.117200699   0.110086884
## [2140,] 0.484209463   0.479602095
## [2141,] 0.311277512   0.305489123
## [2142,] 0.003144217   0.011079916
## [2143,] 0.553382243   0.309794462
## [2144,] 0.993572664   0.855116290
## [2145,] 0.631987675   0.562242443
## [2146,] 0.710593107   0.647684427
## [2147,] 0.081749650   0.500384853
## [2148,] 1.182225701   1.160383815
## [2149,] 0.389882944   0.384631383
## [2150,] 0.238960514   0.248506696
## [2151,] 0.333287033   0.343477408
## [2152,] 0.484209463   0.479602095
## [2153,] 0.018865304   0.026908368
## [2154,] 0.396171378   0.406791216
## [2155,] 0.828501256   0.842073646
## [2156,] 0.358440771   0.352974479
## [2157,] 0.372589749   0.383048538
## [2158,] 0.003144217   0.011079916
## [2159,] 0.474776811   0.485933476
## [2160,] 0.160355082   0.169364436
## [2161,] 0.474776811   0.485933476
## [2162,] 0.020437412   0.012662762
## [2163,] 0.539233265   0.535001677
## [2164,] 0.238960514   0.248506696
## [2165,] 0.374161857   0.368802931
## [2166,] 0.578535981   0.574572807
## [2167,] 0.594257068   0.590401259
## [2168,] 0.374161857   0.368802931
## [2169,] 0.317565946   0.327648956
## [2170,] 0.553382243   0.565075736
## [2171,] 0.539233265   0.535001677
## [2172,] 0.396171378   0.115041189
## [2173,] 0.529171770   0.524871468
## [2174,] 0.275433435   0.269400253
## [2175,] 0.081749650   0.090222176
## [2176,] 1.402320911   1.419812144
## [2177,] 1.229388960   1.245699172
## [2178,] 0.521940070   0.533418832
## [2179,] 0.468488376   0.463773643
## [2180,] 0.075461215   0.068062344
## [2181,] 0.058168020   0.066479498
## [2182,] 0.338003359   0.348225944
## [2183,] 0.014148978   0.022159833
## [2184,] 0.075461215   0.068062344
## [2185,] 0.553382243   0.565075736
## [2186,] 0.126083113   0.119029959
## [2187,] 0.444906746   0.440030965
## [2188,] 0.452767290   0.447945191
## [2189,] 0.531372722   0.527087451
## [2190,] 0.081749650   0.274465358
## [2191,] 0.710593107   0.504547736
## [2192,] 0.059740129   0.052233892
## [2193,] 0.993572664   0.914900354
## [2194,] 0.154066647   0.147204604
## [2195,] 0.352152336   0.346643099
## [2196,] 0.484209463   0.479602095
## [2197,] 0.352152336   0.346643099
## [2198,] 0.540805374   0.536584522
## [2199,] 0.306561186   0.316569040
## [2200,] 0.160355082   0.169364436
## [2201,] 0.553382243   0.565075736
## [2202,] 0.333287033   0.327648956
## [2203,] 0.286123773   0.295992052
## [2204,] 0.506218984   0.517590380
## [2205,] 1.339436565   1.356498336
## [2206,] 0.238960514   0.079712084
## [2207,] 0.946409404   0.796677646
## [2208,] 0.056092836   0.048561691
## [2209,] 0.081749650   0.090222176
## [2210,] 1.025014836   1.039929296
## [2211,] 0.548665917   0.544498748
## [2212,] 0.238960514   0.248506696
## [2213,] 0.789198540   0.733142239
## [2214,] 0.238960514   0.248506696
## [2215,] 0.333287033   0.343477408
## [2216,] 0.547093808   0.542915903
## [2217,] 0.389882944   0.384631383
## [2218,] 0.581680199   0.577738498
## [2219,] 0.229527862   0.223181173
## [2220,] 0.402459813   0.413122597
## [2221,] 0.378878183   0.373551467
## [2222,] 0.581680199   0.577738498
## [2223,] 0.389882944   0.384631383
## [2224,] 0.407176139   0.402042681
## [2225,] 0.358440771   0.352974479
## [2226,] 0.372589749   0.383048538
## [2227,] 0.396171378   0.406791216
## [2228,] 0.828501256   0.842073646
## [2229,] 0.521940070   0.533418832
## [2230,] 0.710593107   0.723360256
## [2231,] 0.547093808   0.542915903
## [2232,] 0.176076168   0.185192888
## [2233,] 0.366301314   0.376717157
## [2234,] 0.201229907   0.194689959
## [2235,] 0.169787734   0.178861507
## [2236,] 0.238960514   0.248506696
## [2237,] 0.311277512   0.305489123
## [2238,] 0.389914386   0.384663040
## [2239,] 0.523386410   0.534875050
## [2240,] 0.396171378   0.406791216
## [2241,] 0.710593107   0.723360256
## [2242,] 0.020437412   0.012662762
## [2243,] 0.014148978   0.022159833
## [2244,] 0.248393166   0.377698521
## [2245,] 0.710593107   0.723360256
## [2246,] 0.378878183   0.373551467
## [2247,] 0.075461215   0.068062344
## [2248,] 0.185351609   0.178703223
## [2249,] 0.350265806   0.360572136
## [2250,] 0.248393166   0.242175315
## [2251,] 0.427613551   0.438448120
## [2252,] 0.003144217   0.011079916
## [2253,] 0.050307477   0.058565272
## [2254,] 0.484209463   0.479602095
## [2255,] 1.339436565   1.356498336
## [2256,] 0.160355082   0.169364436
## [2257,] 0.553382243   0.565075736
## [2258,] 0.216950993   0.210518411
## [2259,] 0.396171378   0.406791216
## [2260,] 0.553382243   0.565075736
## [2261,] 0.402459813   0.413122597
## [2262,] 0.710593107   0.504547736
## [2263,] 0.867803972   0.699301009
## [2264,] 0.484209463   0.479602095
## [2265,] 0.777879357   0.791106031
## [2266,] 0.856799211   0.870564859
## [2267,] 0.773477453   0.786674064
## [2268,] 0.248393166   0.242175315
## [2269,] 0.014148978   0.022159833
## [2270,] 0.468488376   0.463773643
## [2271,] 0.154066647   0.147204604
## [2272,] 0.631987675   0.644217996
## [2273,] 0.789198540   0.802502516
## [2274,] 0.402459813   0.413122597
## [2275,] 0.075461215   0.068062344
## [2276,] 0.474776811   0.485933476
## [2277,] 0.191797255   0.201021340
## [2278,] 1.490358995   0.936015508
## [2279,] 0.581680199   0.577738498
## [2280,] 0.333287033   0.327648956
## [2281,] 0.540805374   0.536584522
## [2282,] 0.306561186   0.316569040
## [2283,] 0.081749650   0.090222176
## [2284,] 0.370231586   0.364845818
## [2285,] 0.406390085   0.417079710
## [2286,] 0.710593107   0.504547736
## [2287,] 0.789198540   0.601924372
## [2288,] 0.378878183   0.373551467
## [2289,] 0.452767290   0.447945191
## [2290,] 0.311277512   0.305489123
## [2291,] 0.402459813   0.413122597
## [2292,] 0.424343565   0.419327350
## [2293,] 0.586396525   0.582487033
## [2294,] 0.585390375   0.581474012
## [2295,] 0.299172275   0.293301215
## [2296,] 0.574810084   0.586649916
## [2297,] 0.581680199   0.577738498
## [2298,] 0.378878183   0.373551467
## [2299,] 0.081749650   0.090222176
## [2300,] 0.484209463   0.479602095
## [2301,] 0.548665917   0.544498748
## [2302,] 0.468488376   0.463773643
## [2303,] 0.160355082   0.169364436
## [2304,] 0.547093808   0.542915903
## [2305,] 0.113191822   0.106050628
## [2306,] 0.547093808   0.542915903
## [2307,] 0.553382243   0.309794462
## [2308,] 0.631987675   0.407171099
## [2309,] 0.238960514   0.248506696
## [2310,] 0.238174460   0.231886822
## [2311,] 0.484209463   0.495430547
## [2312,] 0.176076168   0.185192888
## [2313,] 0.562814895   0.558744355
## [2314,] 0.484209463   0.479602095
## [2315,] 0.227955754   0.237426780
## [2316,] 0.154066647   0.147204604
## [2317,] 0.521940070   0.533418832
## [2318,] 0.084893867   0.077559415
## [2319,] 0.789198540   0.601924372
## [2320,] 0.789198540   0.601924372
## [2321,] 0.402459813   0.413122597
## [2322,] 0.562814895   0.558744355
## [2323,] 0.578535981   0.574572807
## [2324,] 0.003144217   0.011079916
## [2325,] 0.396171378   0.406791216
## [2326,] 0.710593107   0.723360256
## [2327,] 0.165102850   0.158316177
## [2328,] 0.421325117   0.416288287
## [2329,] 0.018865304   0.011079916
## [2330,] 0.367873423   0.378300003
## [2331,] 0.455911507   0.451110882
## [2332,] 0.031442173   0.039571130
## [2333,] 0.075461215   0.068062344
## [2334,] 0.183936711   0.193107114
## [2335,] 0.161927190   0.155118830
## [2336,] 0.547093808   0.542915903
## [2337,] 0.081749650   0.090222176
## [2338,] 0.227955754   0.221598328
## [2339,] 0.867803972   0.881644776
## [2340,] 1.025014836   1.039929296
## [2341,] 0.378878183   0.373551467
## [2342,] 0.232672079   0.226346863
## [2343,] 0.160355082   0.169364436
## [2344,] 0.396171378   0.115041189
## [2345,] 0.946409404   0.796677646
## [2346,] 1.056457009   1.023673476
## [2347,] 0.081749650   0.090222176
## [2348,] 0.317565946   0.327648956
## [2349,] 0.631987675   0.644217996
## [2350,] 0.232672079   0.226346863
## [2351,] 0.402459813   0.413122597
## [2352,] 0.136773452   0.129793306
## [2353,] 0.341147576   0.351391634
## [2354,] 0.828501256   0.842073646
## [2355,] 0.547093808   0.542915903
## [2356,] 0.451195181   0.462190798
## [2357,] 0.946409404   0.904042035
## [2358,] 1.087899182   1.057847103
## [2359,] 0.581680199   0.577738498
## [2360,] 0.378878183   0.373551467
## [2361,] 0.484209463   0.479602095
## [2362,] 0.018865304   0.026908368
## [2363,] 0.154066647   0.147204604
## [2364,] 0.372589749   0.383048538
## [2365,] 0.081749650   0.090222176
## [2366,] 0.553382243   0.565075736
## [2367,] 0.081749650   0.090222176
## [2368,] 0.553382243   0.565075736
## [2369,] 0.484209463   0.479602095
## [2370,] 0.581680199   0.577738498
## [2371,] 0.558098569   0.553995820
## [2372,] 0.069172780   0.061730963
## [2373,] 0.075461215   0.068062344
## [2374,] 0.160355082   0.169364436
## [2375,] 0.311277512   0.305489123
## [2376,] 0.232672079   0.226346863
## [2377,] 0.317565946   0.327648956
## [2378,] 0.396171378   0.406791216
## [2379,] 1.276552220   1.293184528
## [2380,] 0.347436011   0.341894563
## [2381,] 0.484209463   0.479602095
## [2382,] 0.527442450   0.523130338
## [2383,] 0.378878183   0.373551467
## [2384,] 0.317565946   0.327648956
## [2385,] 0.421325117   0.416288287
## [2386,] 0.529800613   0.541333058
## [2387,] 0.374161857   0.368802931
## [2388,] 0.124196583   0.117130545
## [2389,] 0.484209463   0.479602095
## [2390,] 0.317565946   0.327648956
## [2391,] 0.389882944   0.384631383
## [2392,] 0.317565946   0.327648956
## [2393,] 0.154066647   0.147204604
## [2394,] 0.279835339   0.273832219
## [2395,] 0.474776811   0.485933476
## [2396,] 0.631987675   0.644217996
## [2397,] 0.227955754   0.237426780
## [2398,] 0.378878183   0.373551467
## [2399,] 0.084893867   0.077559415
## [2400,] 0.396171378   0.406791216
## [2401,] 0.553382243   0.565075736
## [2402,] 0.492148611   0.487595464
## [2403,] 0.067679277   0.076055712
## [2404,] 0.014148978   0.022159833
## [2405,] 0.000000000   0.007914226
## [2406,] 0.389882944   0.384631383
## [2407,] 0.232672079   0.226346863
## [2408,] 0.191797255   0.201021340
## [2409,] 0.201229907   0.194689959
## [2410,] 0.238174460   0.231886822
## [2411,] 0.484209463   0.495430547
## [2412,] 0.232672079   0.226346863
## [2413,] 0.435002462   0.430059041
## [2414,] 0.311277512   0.305489123
## [2415,] 0.003144217   0.011079916
## [2416,] 0.238960514   0.248506696
## [2417,] 0.311277512   0.305489123
## [2418,] 0.294078643   0.288172797
## [2419,] 0.484209463   0.479602095
## [2420,] 0.358440771   0.352974479
## [2421,] 0.474776811   0.391342647
## [2422,] 0.679150935   0.613510799
## [2423,] 0.474776811   0.212417826
## [2424,] 0.679150935   0.465609744
## [2425,] 0.631987675   0.644217996
## [2426,] 0.867803972   0.881644776
## [2427,] 0.311277512   0.305489123
## [2428,] 0.097470736   0.106050628
## [2429,] 0.389882944   0.384631383
## [2430,] 0.081749650   0.090222176
## [2431,] 0.352152336   0.346643099
## [2432,] 0.003144217   0.011079916
## [2433,] 0.396171378   0.406791216
## [2434,] 0.789198540   0.802502516
## [2435,] 0.232672079   0.226346863
## [2436,] 0.238960514   0.248506696
## [2437,] 0.201229907   0.194689959
## [2438,] 0.993572664   0.855116290
## [2439,] 1.103620269   0.991430919
## [2440,] 0.548665917   0.544498748
## [2441,] 0.946409404   0.904042035
## [2442,] 1.087899182   1.057847103
## [2443,] 0.025153738   0.017411297
## [2444,] 0.547093808   0.542915903
## [2445,] 0.451195181   0.462190798
## [2446,] 0.122624474   0.115547700
## [2447,] 0.232672079   0.226346863
## [2448,] 0.003144217   0.011079916
## [2449,] 0.160355082   0.169364436
## [2450,] 0.468488376   0.463773643
## [2451,] 0.317565946   0.017664552
## [2452,] 0.474776811   0.212417826
## [2453,] 0.326998598   0.321317575
## [2454,] 0.295556425   0.305489123
## [2455,] 0.484209463   0.479602095
## [2456,] 0.018865304   0.026908368
## [2457,] 0.378878183   0.373551467
## [2458,] 0.389882944   0.384631383
## [2459,] 0.378878183   0.373551467
## [2460,] 0.389882944   0.384631383
## [2461,] 0.169787734   0.163033056
## [2462,] 0.389882944   0.384631383
## [2463,] 0.036158499   0.028491214
## [2464,] 0.174504060   0.183610043
## [2465,] 0.515651636   0.527087451
## [2466,] 0.547093808   0.542915903
## [2467,] 0.036158499   0.028491214
## [2468,] 0.378878183   0.373551467
## [2469,] 0.232672079   0.226346863
## [2470,] 0.389882944   0.384631383
## [2471,] 0.036158499   0.028491214
## [2472,] 0.113191822   0.106050628
## [2473,] 0.161927190   0.155118830
## [2474,] 0.075461215   0.068062344
## [2475,] 0.553382243   0.565075736
## [2476,] 0.234181304   0.227866395
## [2477,] 0.378878183   0.373551467
## [2478,] 0.592370537   0.588501845
## [2479,] 0.081749650   0.090222176
## [2480,] 0.159726238   0.152902846
## [2481,] 0.374161857   0.368802931
## [2482,] 0.177333855   0.170630712
## [2483,] 0.311277512   0.305489123
## [2484,] 0.176076168   0.185192888
## [2485,] 0.075461215   0.469218631
## [2486,] 0.238960514   0.079712084
## [2487,] 0.484209463   0.479602095
## [2488,] 0.154066647   0.147204604
## [2489,] 0.003144217   0.011079916
## [2490,] 0.000000000   0.007914226
## [2491,] 0.175525930   0.184638892
## [2492,] 0.743292967   0.756283436
## [2493,] 0.484209463   0.479602095
## [2494,] 0.132057126   0.125044771
## [2495,] 0.710593107   0.723360256
## [2496,] 0.389882944   0.384631383
## [2497,] 0.169787734   0.163033056
## [2498,] 0.427613551   0.438448120
## [2499,] 0.168750142   0.161988378
## [2500,] 0.369980048   0.380421015
## [2501,] 1.087899182   1.103243104
## [2502,] 0.587968633   0.584069878
## [2503,] 0.248393166   0.242175315
## [2504,] 0.521940070   0.533418832
## [2505,] 0.899246145   0.913301680
## [2506,] 0.426041443   0.421036823
## [2507,] 0.452767290   0.447945191
## [2508,] 0.311277512   0.305489123
## [2509,] 0.196513581   0.189941424
## [2510,] 1.103620269   1.119071556
## [2511,] 0.248393166   0.242175315
## [2512,] 0.562814895   0.558744355
## [2513,] 0.207518341   0.216849792
## [2514,] 0.547093808   0.542915903
## [2515,] 0.075461215   0.068062344
## [2516,] 0.553382243   0.565075736
## [2517,] 0.460627833   0.455859417
## [2518,] 0.345863902   0.356140170
## [2519,] 0.581680199   0.577738498
## [2520,] 0.012576869   0.004748536
## [2521,] 0.081749650   0.274465358
## [2522,] 0.122624474   0.115547700
## [2523,] 0.014148978   0.022159833
## [2524,] 0.389882944   0.384631383
## [2525,] 0.547093808   0.542915903
## [2526,] 0.154066647   0.147204604
## [2527,] 0.493642114   0.489099167
## [2528,] 0.064142033   0.056665858
## [2529,] 0.333287033   0.343477408
## [2530,] 0.710593107   0.723360256
## [2531,] 0.710593107   0.504547736
## [2532,] 0.867803972   0.699301009
## [2533,] 0.553382243   0.565075736
## [2534,] 0.710593107   0.723360256
## [2535,] 0.176076168   0.185192888
## [2536,] 0.561242786   0.572989962
## [2537,] 0.924399883   0.938627203
## [2538,] 0.154066647   0.147204604
## [2539,] 0.484209463   0.479602095
## [2540,] 0.560849759   0.572594251
## [2541,] 0.682295152   0.694869042
## [2542,] 1.025014836   1.039929296
## [2543,] 0.311277512   0.305489123
## [2544,] 0.160355082   0.169364436
## [2545,] 0.389882944   0.384631383
## [2546,] 0.075461215   0.068062344
## [2547,] 0.946409404   0.904042035
## [2548,] 1.087899182   1.057847103
## [2549,] 0.232672079   0.226346863
## [2550,] 0.547093808   0.542915903
## [2551,] 0.003144217   0.011079916
## [2552,] 0.389898665   0.384647212
## [2553,] 0.523402131   0.534890878
## [2554,] 0.396171378   0.406791216
## [2555,] 0.416372975   0.411302325
## [2556,] 0.581680199   0.577738498
## [2557,] 0.389882944   0.384631383
## [2558,] 0.232672079   0.226346863
## [2559,] 0.232672079   0.226346863
## [2560,] 0.075461215   0.068062344
## [2561,] 0.484209463   0.479602095
## [2562,] 0.075461215   0.068062344
## [2563,] 0.238960514   0.248506696
## [2564,] 0.710593107   0.723360256
## [2565,] 0.003144217   0.441756267
## [2566,] 0.946409404   0.796012851
## [2567,] 0.757756367   0.770845612
## [2568,] 0.232672079   0.226346863
## [2569,] 0.227955754   0.237426780
## [2570,] 0.160355082   0.169364436
## [2571,] 0.317565946   0.327648956
## [2572,] 0.484209463   0.479602095
## [2573,] 0.484209463   0.479602095
## [2574,] 0.232672079   0.226346863
## [2575,] 0.075461215   0.068062344
## [2576,] 0.484209463   0.479602095
## [2577,] 0.134415289   0.127419039
## [2578,] 0.710593107   0.723360256
## [2579,] 0.081749650   0.090222176
## [2580,] 0.474776811   0.485933476
## [2581,] 0.474776811   0.485933476
## [2582,] 0.081749650   0.090222176
## [2583,] 0.679150935   0.691703352
## [2584,] 0.789198540   0.802502516
## [2585,] 0.547093808   0.542915903
## [2586,] 1.087899182   1.103243104
## [2587,] 0.075461215   0.068062344
## [2588,] 0.553382243   0.565075736
## [2589,] 0.548665917   0.544498748
## [2590,] 0.443334638   0.454276572
## [2591,] 0.278263230   0.288077826
## [2592,] 0.671290391   0.683789126
## [2593,] 0.468488376   0.463773643
## [2594,] 0.238960514   0.079712084
## [2595,] 0.946409404   0.796677646
## [2596,] 0.488925789   0.484350631
## [2597,] 0.349008119   0.359305860
## [2598,] 0.521940070   0.533418832
## [2599,] 0.521940070   0.533418832
## [2600,] 0.710593107   0.723360256
## [2601,] 0.389882944   0.384631383
## [2602,] 0.484209463   0.479602095
## [2603,] 0.407176139   0.402042681
## [2604,] 0.160355082   0.169364436
## [2605,] 0.232672079   0.226346863
## [2606,] 0.190225146   0.183610043
## [2607,] 0.569103329   0.580904188
## [2608,] 0.232672079   0.226346863
## [2609,] 0.081749650   0.090222176
## [2610,] 0.081749650   0.090222176
## [2611,] 0.003144217   0.011079916
## [2612,] 0.042446933   0.050651046
## [2613,] 0.177648277   0.170947282
## [2614,] 0.396171378   0.406791216
## [2615,] 0.710593107   0.723360256
## [2616,] 0.515651636   0.511258999
## [2617,] 0.326998598   0.321317575
## [2618,] 0.232672079   0.226346863
## [2619,] 0.547093808   0.542915903
## [2620,] 0.232672079   0.226346863
## [2621,] 0.232672079   0.226346863
## [2622,] 0.407176139   0.402042681
## [2623,] 0.286123773   0.280163600
## [2624,] 0.361584988   0.371968622
## [2625,] 1.025014836   0.894054282
## [2626,] 1.103620269   0.991430919
## [2627,] 0.867803972   0.881644776
## [2628,] 0.254681600   0.248506696
## [2629,] 0.311277512   0.305489123
## [2630,] 0.113191822   0.121879080
## [2631,] 0.081749650   0.010035239
## [2632,] 0.238960514   0.079712084
## [2633,] 0.553382243   0.309794462
## [2634,] 0.378878183   0.373551467
## [2635,] 0.232672079   0.226346863
## [2636,] 0.232672079   0.226346863
## [2637,] 0.374161857   0.368802931
## [2638,] 0.578535981   0.574572807
## [2639,] 0.278263230   0.288077826
## [2640,] 0.484209463   0.479602095
## [2641,] 0.946409404   0.904042035
## [2642,] 1.087899182   1.057847103
## [2643,] 0.003144217   0.011079916
## [2644,] 0.317565946   0.327648956
## [2645,] 0.474776811   0.212417826
## [2646,] 1.025014836   0.894054282
## [2647,] 0.389882944   0.384631383
## [2648,] 0.561242786   0.485331995
## [2649,] 0.710593107   0.647684427
## [2650,] 0.339575467   0.333980337
## [2651,] 0.613122371   0.541728769
## [2652,] 0.757756367   0.698968611
## [2653,] 0.547093808   0.542915903
## [2654,] 0.527442450   0.523130338
## [2655,] 0.311277512   0.305489123
## [2656,] 0.311277512   0.305489123
## [2657,] 0.484209463   0.479602095
## [2658,] 0.547093808   0.542915903
## [2659,] 0.075461215   0.068062344
## [2660,] 0.553382243   0.565075736
## [2661,] 0.323225537   0.317518747
## [2662,] 0.003144217   0.011079916
## [2663,] 0.867803972   0.699301009
## [2664,] 0.396171378   0.305900663
## [2665,] 1.182225701   1.198213816
## [2666,] 1.252970590   1.269441850
## [2667,] 0.232672079   0.226346863
## [2668,] 0.484209463   0.479602095
## [2669,] 0.562814895   0.558744355
## [2670,] 0.227955754   0.237426780
## [2671,] 0.389882944   0.384631383
## [2672,] 0.081749650   0.090222176
## [2673,] 0.401830970   0.396661007
## [2674,] 0.227955754   0.237426780
## [2675,] 0.075461215   0.068062344
## [2676,] 0.389882944   0.384631383
## [2677,] 0.238960514   0.248506696
## [2678,] 0.521940070   0.533418832
## [2679,] 0.227955754   0.237426780
## [2680,] 0.389882944   0.384631383
## [2681,] 0.002829796   0.005065105
## [2682,] 0.639848218   0.652132222
## [2683,] 1.182225701   1.198213816
## [2684,] 0.086151554   0.078825691
## [2685,] 0.289267991   0.283329291
## [2686,] 0.531372722   0.527087451
## [2687,] 0.083321758   0.075976570
## [2688,] 0.154066647   0.147204604
## [2689,] 0.372589749   0.383048538
## [2690,] 0.531372722   0.527087451
## [2691,] 0.631987675   0.562242443
## [2692,] 0.238960514   0.135000867
## [2693,] 0.378878183   0.373551467
## [2694,] 0.547093808   0.542915903
## [2695,] 0.946409404   0.904042035
## [2696,] 1.087899182   1.057847103
## [2697,] 0.003144217   0.011079916
## [2698,] 0.553382243   0.565075736
## [2699,] 0.014148978   0.022159833
## [2700,] 0.631987675   0.644217996
## [2701,] 0.426041443   0.421036823
## [2702,] 0.171359842   0.180444353
## [2703,] 0.176862223   0.170155859
## [2704,] 0.449623072   0.444779501
## [2705,] 0.437046203   0.432116739
## [2706,] 0.804919626   0.778190014
## [2707,] 0.232672079   0.226346863
## [2708,] 0.378878183   0.373551467
## [2709,] 0.374161857   0.368802931
## [2710,] 0.547093808   0.542915903
## [2711,] 0.572247547   0.568241426
## [2712,] 0.081749650   0.090222176
## [2713,] 0.553382243   0.565075736
## [2714,] 0.317565946   0.327648956
## [2715,] 0.631987675   0.644217996
## [2716,] 0.527976967   0.523668506
## [2717,] 0.344763426   0.355032178
## [2718,] 0.474776811   0.485933476
## [2719,] 0.553382243   0.565075736
## [2720,] 0.529800613   0.525504606
## [2721,] 0.160355082   0.169364436
## [2722,] 0.474776811   0.485933476
## [2723,] 0.081749650   0.090222176
## [2724,] 0.553382243   0.565075736
## [2725,] 0.003144217   0.011079916
## [2726,] 1.056457009   0.933008103
## [2727,] 1.103620269   0.991430919
## [2728,] 0.154066647   0.147204604
## [2729,] 0.000000000   0.007914226
## [2730,] 0.389882944   0.384631383
## [2731,] 0.232672079   0.226346863
## [2732,] 0.232672079   0.226346863
## [2733,] 0.484209463   0.479602095
## [2734,] 0.946409404   0.796677646
## [2735,] 1.103620269   0.991430919
## [2736,] 0.789198540   0.601924372
## [2737,] 0.946409404   0.796677646
## [2738,] 1.418041998   1.435640596
## [2739,] 0.553382243   0.309794462
## [2740,] 0.907106688   0.747989327
## [2741,] 0.317565946   0.327648956
## [2742,] 0.474776811   0.485933476
## [2743,] 0.547093808   0.542915903
## [2744,] 0.154066647   0.147204604
## [2745,] 0.154066647   0.147204604
## [2746,] 0.867803972   0.818584223
## [2747,] 0.389882944   0.384631383
## [2748,] 0.232672079   0.226346863
## [2749,] 0.474776811   0.485933476
## [2750,] 0.081749650   0.602510025
## [2751,] 0.081749650   0.487785405
## [2752,] 0.547093808   0.542915903
## [2753,] 0.232672079   0.226346863
## [2754,] 0.358440771   0.352974479
## [2755,] 0.372589749   0.383048538
## [2756,] 0.154066647   0.147204604
## [2757,] 0.547093808   0.542915903
## [2758,] 0.081749650   0.090222176
## [2759,] 0.396171378   0.406791216
## [2760,] 0.081749650   0.090222176
## [2761,] 0.154066647   0.147204604
## [2762,] 0.278263230   0.272249374
## [2763,] 0.456477466   0.451680706
## [2764,] 0.106903388   0.099719248
## [2765,] 0.333287033   0.276111517
## [2766,] 0.317565946   0.327648956
## [2767,] 0.631987675   0.644217996
## [2768,] 0.468488376   0.463773643
## [2769,] 0.004716326   0.003165690
## [2770,] 0.396171378   0.406791216
## [2771,] 0.553382243   0.565075736
## [2772,] 0.946409404   0.904042035
## [2773,] 1.087899182   1.057847103
## [2774,] 0.290840099   0.284912136
## [2775,] 0.187080929   0.180444353
## [2776,] 0.122624474   0.115547700
## [2777,] 0.484209463   0.479602095
## [2778,] 0.075461215   0.068062344
## [2779,] 0.484209463   0.479602095
## [2780,] 0.389882944   0.384631383
## [2781,] 0.075461215   0.068062344
## [2782,] 0.343898766   0.338333161
## [2783,] 0.468488376   0.463773643
## [2784,] 0.484209463   0.479602095
## [2785,] 0.358440771   0.352974479
## [2786,] 0.484209463   0.479602095
## [2787,] 0.081749650   0.090222176
## [2788,] 0.059740129   0.052233892
## [2789,] 0.578535981   0.574572807
## [2790,] 0.474776811   0.485933476
## [2791,] 0.000000000   0.007914226
## [2792,] 0.311277512   0.305489123
## [2793,] 0.106903388   0.099719248
## [2794,] 0.154066647   0.147204604
## [2795,] 0.301844860   0.311820504
## [2796,] 0.547093808   0.542915903
## [2797,] 0.531372722   0.527087451
## [2798,] 0.012576869   0.004748536
## [2799,] 0.789198540   1.028105442
## [2800,] 0.867803972   0.881644776
## [2801,] 0.553382243   0.852188027
## [2802,] 0.154066647   0.147204604
## [2803,] 0.547093808   0.542915903
## [2804,] 0.232672079   0.226346863
## [2805,] 0.389898665   0.384647212
## [2806,] 0.523402131   0.534890878
## [2807,] 0.177365297   0.186490821
## [2808,] 0.836959200   0.850589353
## [2809,] 0.468488376   0.463773643
## [2810,] 0.317565946   0.327648956
## [2811,] 0.631987675   0.644217996
## [2812,] 0.440190421   0.435282430
## [2813,] 0.401830970   0.396661007
## [2814,] 0.081749650   0.090222176
## [2815,] 0.396171378   0.406791216
## [2816,] 0.378878183   0.373551467
## [2817,] 0.946409404   0.904042035
## [2818,] 0.389882944   0.384631383
## [2819,] 0.547093808   0.542915903
## [2820,] 0.075461215   0.068062344
## [2821,] 0.238960514   0.248506696
## [2822,] 0.474776811   0.485933476
## [2823,] 0.324326013   0.026037804
## [2824,] 0.389882944   0.384631383
## [2825,] 0.396171378   0.406791216
## [2826,] 0.232672079   0.226346863
## [2827,] 0.232672079   0.226346863
## [2828,] 0.012576869   0.004748536
## [2829,] 0.008646598   0.016619875
## [2830,] 0.547093808   0.542915903
## [2831,] 0.584824416   0.596732640
## [2832,] 0.710593107   0.723360256
## [2833,] 0.946409404   0.904042035
## [2834,] 1.087899182   1.057847103
## [2835,] 0.317565946   0.327648956
## [2836,] 0.631987675   0.644217996
## [2837,] 0.311277512   0.305489123
## [2838,] 0.238960514   0.248506696
## [2839,] 0.003144217   0.011079916
## [2840,] 0.238960514   0.248506696
## [2841,] 0.468488376   0.463773643
## [2842,] 0.004716326   0.003165690
## [2843,] 0.311277512   0.305489123
## [2844,] 0.456477466   0.451680706
## [2845,] 0.311277512   0.305489123
## [2846,] 0.396171378   0.406791216
## [2847,] 0.553382243   0.565075736
## [2848,] 0.474776811   0.485933476
## [2849,] 0.644564544   0.656880758
## [2850,] 0.771905345   0.785091219
## [2851,] 0.389882944   0.384631383
## [2852,] 0.311277512   0.305489123
## [2853,] 0.081749650   0.090222176
## [2854,] 0.468488376   0.463773643
## [2855,] 0.232672079   0.226346863
## [2856,] 0.134415289   0.127419039
## [2857,] 0.484209463   0.479602095
## [2858,] 0.484209463   0.479602095
## [2859,] 0.073889106   0.082307950
## [2860,] 0.154066647   0.147204604
## [2861,] 0.160355082   0.169364436
## [2862,] 0.256253709   0.250089541
## [2863,] 0.146206104   0.139290378
## [2864,] 0.710593107   0.504547736
## [2865,] 0.946409404   0.796677646
## [2866,] 0.374161857   0.368802931
## [2867,] 0.196513581   0.205769876
## [2868,] 0.682295152   0.694869042
## [2869,] 0.389882944   0.384631383
## [2870,] 0.468488376   0.463773643
## [2871,] 0.020437412   0.012662762
## [2872,] 0.474776811   0.485933476
## [2873,] 0.757756367   0.725133043
## [2874,] 0.081749650   0.090222176
## [2875,] 0.396171378   0.406791216
## [2876,] 0.358440771   0.352974479
## [2877,] 0.372589749   0.383048538
## [2878,] 1.339436565   1.331283612
## [2879,] 0.044019042   0.036405440
## [2880,] 0.710593107   0.723360256
## [2881,] 0.452767290   0.447945191
## [2882,] 0.295556425   0.289660671
## [2883,] 0.134415289   0.127419039
## [2884,] 0.426041443   0.421036823
## [2885,] 0.303416968   0.297574897
## [2886,] 0.320710164   0.314986195
## [2887,] 0.154066647   0.147204604
## [2888,] 0.232672079   0.226346863
## [2889,] 0.236602351   0.230303976
## [2890,] 0.311277512   0.305489123
## [2891,] 0.020437412   0.012662762
## [2892,] 0.468488376   0.463773643
## [2893,] 0.378878183   0.373551467
## [2894,] 0.232672079   0.226346863
## [2895,] 0.155512987   0.148660821
## [2896,] 0.389882944   0.384631383
## [2897,] 0.238960514   0.248506696
## [2898,] 0.421325117   0.416288287
## [2899,] 0.366301314   0.360888705
## [2900,] 0.020437412   0.012662762
## [2901,] 0.050307477   0.058565272
## [2902,] 0.081749650   0.090222176
## [2903,] 0.160355082   0.169364436
## [2904,] 0.025153738   0.017411297
## [2905,] 0.238960514   0.135000867
## [2906,] 0.474776811   0.391342647
## [2907,] 0.358440771   0.352974479
## [2908,] 0.317565946   0.327648956
## [2909,] 0.547093808   0.542915903
## [2910,] 0.468488376   0.463773643
## [2911,] 0.004716326   0.003165690
## [2912,] 0.081749650   0.090222176
## [2913,] 0.396171378   0.406791216
## [2914,] 1.025014836   0.989484019
## [2915,] 0.594257068   0.590401259
## [2916,] 0.631987675   0.407171099
## [2917,] 0.993572664   0.855116290
## [2918,] 0.232672079   0.226346863
## [2919,] 0.553382243   0.309794462
## [2920,] 0.993572664   0.855116290
## [2921,] 0.238960514   0.079712084
## [2922,] 0.710593107   0.504547736
## [2923,] 0.091182301   0.083890796
## [2924,] 0.106903388   0.268102320
## [2925,] 0.553382243   0.508948045
## [2926,] 0.389882944   0.384631383
## [2927,] 0.474776811   0.485933476
## [2928,] 0.704304673   0.717028875
## [2929,] 0.317565946   0.327648956
## [2930,] 0.474776811   0.485933476
## [2931,] 0.374161857   0.368802931
## [2932,] 0.196513581   0.205769876
## [2933,] 0.682295152   0.694869042
## [2934,] 0.773477453   0.716047511
## [2935,] 0.341147576   0.351391634
## [2936,] 0.828501256   0.842073646
## [2937,] 0.453144596   0.448325074
## [2938,] 0.547093808   0.542915903
## [2939,] 0.679150935   0.691703352
## [2940,] 0.742035280   0.755017160
## [2941,] 0.154066647   0.147204604
## [2942,] 0.311277512   0.305489123
## [2943,] 0.238960514   0.248506696
## [2944,] 0.326998598   0.321317575
## [2945,] 0.238960514   0.248506696
## [2946,] 0.238960514   0.248506696
## [2947,] 0.539233265   0.535001677
## [2948,] 0.066028563   0.058565272
## [2949,] 0.232672079   0.226346863
## [2950,] 0.007860543   0.000000000
## [2951,] 0.374161857   0.368802931
## [2952,] 0.042446933   0.050651046
## [2953,] 0.426041443   0.421036823
## [2954,] 0.326998598   0.321317575
## [2955,] 0.136773452   0.129793306
## [2956,] 0.025153738   0.017411297
## [2957,] 0.042446933   0.034822594
## [2958,] 0.012891291   0.005065105
## [2959,] 0.073889106   0.082307950
## [2960,] 0.257825818   0.251672387
## [2961,] 0.161927190   0.155118830
## [2962,] 0.238960514   0.248506696
## [2963,] 0.160355082   0.169364436
## [2964,] 0.553382243   0.565075736
## [2965,] 0.168750142   0.161988378
## [2966,] 0.369980048   0.380421015
## [2967,] 0.232672079   0.226346863
## [2968,] 0.232672079   0.226346863
## [2969,] 0.389882944   0.384631383
## [2970,] 0.515651636   0.511258999
## [2971,] 0.207518341   0.216849792
## [2972,] 0.631987675   0.644217996
## [2973,] 0.899246145   0.913301680
## [2974,] 0.075461215   0.068062344
## [2975,] 0.474776811   0.485933476
## [2976,] 0.389882944   0.384631383
## [2977,] 0.286123773   0.295992052
## [2978,] 0.106903388   0.099719248
## [2979,] 0.389882944   0.384631383
## [2980,] 0.081749650   0.090222176
## [2981,] 0.227955754   0.237426780
## [2982,] 0.155638756   0.148787449
## [2983,] 0.492070006   0.503344773
## [2984,] 0.000000000   0.007914226
## [2985,] 0.081749650   0.090222176
## [2986,] 0.484209463   0.479602095
## [2987,] 0.081749650   0.090222176
## [2988,] 0.317565946   0.327648956
## [2989,] 0.553382243   0.309794462
## [2990,] 0.907106688   0.747989327
## [2991,] 0.547093808   0.542915903
## [2992,] 0.160355082   0.169364436
## [2993,] 0.236602351   0.230303976
## [2994,] 0.389882944   0.384631383
## [2995,] 0.547093808   0.542915903
## [2996,] 0.567342568   0.563302949
## [2997,] 0.173057720   0.182153826
## [2998,] 0.594257068   0.590401259
## [2999,] 0.553382243   0.565075736
## [3000,] 0.789198540   0.802502516
## [3001,] 0.474776811   0.485933476
## [3002,] 0.631987675   0.644217996
## [3003,] 0.136773452   0.129793306
## [3004,] 0.081749650   0.487785405
## [3005,] 0.012891291   0.005065105
## [3006,] 0.553382243   0.565075736
## [3007,] 0.396171378   0.406791216
## [3008,] 0.539233265   0.535001677
## [3009,] 0.066028563   0.058565272
## [3010,] 0.003144217   0.011079916
## [3011,] 0.553382243   0.565075736
## [3012,] 0.180855379   0.174176286
## [3013,] 0.081749650   0.090222176
## [3014,] 0.474776811   0.485933476
## [3015,] 0.474776811   0.485933476
## [3016,] 0.710593107   0.723360256
## [3017,] 0.389882944   0.384631383
## [3018,] 0.084893867   0.077559415
## [3019,] 0.497572386   0.493056280
## [3020,] 0.539233265   0.535001677
## [3021,] 0.066028563   0.058565272
## [3022,] 0.789198540   0.733142239
## [3023,] 0.946409404   0.904042035
## [3024,] 0.553382243   0.476800459
## [3025,] 0.946409404   0.904042035
## [3026,] 0.344291793   0.050777674
## [3027,] 0.117908148   0.521800748
## [3028,] 0.344291793   0.050777674
## [3029,] 0.374161857   0.368802931
## [3030,] 0.389882944   0.384631383
## [3031,] 0.326998598   0.321317575
## [3032,] 0.075461215   0.068062344
## [3033,] 0.389882944   0.384631383
## [3034,] 0.326998598   0.321317575
## [3035,] 0.370231586   0.364845818
## [3036,] 0.016507141   0.008705649
## [3037,] 0.374161857   0.368802931
## [3038,] 0.547093808   0.542915903
## [3039,] 0.020437412   0.012662762
## [3040,] 0.185508820   0.178861507
## [3041,] 0.515651636   0.511258999
## [3042,] 0.389882944   0.384631383
## [3043,] 0.081749650   0.090222176
## [3044,] 0.154066647   0.292240709
## [3045,] 0.547093808   0.542915903
## [3046,] 0.232672079   0.226346863
## [3047,] 0.468488376   0.463773643
## [3048,] 0.011004761   0.018994142
## [3049,] 0.553382243   0.565075736
## [3050,] 0.238960514   0.248506696
## [3051,] 0.553382243   0.565075736
## [3052,] 0.025153738   0.017411297
## [3053,] 0.311277512   0.305489123
## [3054,] 0.238960514   0.248506696
## [3055,] 0.311277512   0.305489123
## [3056,] 0.342719685   0.337146027
## [3057,] 0.176076168   0.185192888
## [3058,] 0.224811536   0.218432637
## [3059,] 0.003144217   0.011079916
## [3060,] 0.317565946   0.327648956
## [3061,] 0.521940070   0.533418832
## [3062,] 0.710593107   0.723360256
## [3063,] 0.275119013   0.269083684
## [3064,] 0.293984317   0.288077826
## [3065,] 0.275119013   0.269083684
## [3066,] 0.710593107   0.647684427
## [3067,] 0.259397926   0.253255232
## [3068,] 0.025153738   0.017411297
## [3069,] 0.867803972   0.881644776
## [3070,] 0.081749650   0.090222176
## [3071,] 0.311277512   0.305489123
## [3072,] 0.075461215   0.068062344
## [3073,] 0.081749650   0.090222176
## [3074,] 0.358991009   0.369356927
## [3075,] 0.474776811   0.485933476
## [3076,] 0.539233265   0.535001677
## [3077,] 0.066028563   0.058565272
## [3078,] 0.539233265   0.535001677
## [3079,] 0.066028563   0.058565272
## [3080,] 0.050307477   0.058565272
## [3081,] 0.396171378   0.115041189
## [3082,] 1.025014836   0.894054282
## [3083,] 0.374161857   0.368802931
## [3084,] 0.160355082   0.169364436
## [3085,] 0.309705403   0.319734730
## [3086,] 0.259397926   0.253255232
## [3087,] 0.081749650   0.090222176
## [3088,] 0.311277512   0.305489123
## [3089,] 0.117122094   0.125836193
## [3090,] 0.264114252   0.258003767
## [3091,] 0.374161857   0.368802931
## [3092,] 0.232672079   0.226346863
## [3093,] 0.474776811   0.485933476
## [3094,] 0.185351609   0.178703223
## [3095,] 0.350265806   0.360572136
## [3096,] 0.378878183   0.373551467
## [3097,] 0.311277512   0.305489123
## [3098,] 0.264114252   0.258003767
## [3099,] 0.581680199   0.577738498
## [3100,] 0.547093808   0.542915903
## [3101,] 0.256253709   0.250089541
## [3102,] 0.427613551   0.438448120
## [3103,] 0.169787734   0.163033056
## [3104,] 0.484209463   0.479602095
## [3105,] 0.631987675   0.407171099
## [3106,] 1.087113128   0.970980559
## [3107,] 0.075461215   0.068062344
## [3108,] 0.547093808   0.542915903
## [3109,] 0.169787734   0.163033056
## [3110,] 0.389882944   0.384631383
## [3111,] 0.232672079   0.226346863
## [3112,] 0.003144217   0.371841994
## [3113,] 0.317565946   0.017664552
## [3114,] 0.025153738   0.017411297
## [3115,] 0.317565946   0.327648956
## [3116,] 0.474776811   0.485933476
## [3117,] 0.232672079   0.226346863
## [3118,] 0.326998598   0.321317575
## [3119,] 0.238960514   0.248506696
## [3120,] 0.581680199   0.577738498
## [3121,] 0.160355082   0.169364436
## [3122,] 0.309705403   0.319734730
## [3123,] 0.020437412   0.012662762
## [3124,] 0.326998598   0.321317575
## [3125,] 0.547093808   0.542915903
## [3126,] 0.389882944   0.384631383
## [3127,] 0.946409404   0.904042035
## [3128,] 1.087899182   1.057847103
## [3129,] 0.232672079   0.226346863
## [3130,] 1.182225701   1.198213816
## [3131,] 0.311277512   0.305489123
## [3132,] 1.114310607   1.129834903
## [3133,] 0.553382243   0.476800459
## [3134,] 0.012576869   0.004748536
## [3135,] 0.389882944   0.384631383
## [3136,] 0.264114252   0.258003767
## [3137,] 0.179220386   0.188358579
## [3138,] 0.238960514   0.248506696
## [3139,] 0.106903388   0.099719248
## [3140,] 0.600545502   0.528068815
## [3141,] 0.710593107   0.647684427
## [3142,] 0.581680199   0.577738498
## [3143,] 0.378878183   0.373551467
## [3144,] 0.259397926   0.253255232
## [3145,] 0.581680199   0.577738498
## [3146,] 1.025014836   1.039929296
## [3147,] 0.012891291   0.005065105
## [3148,] 0.484209463   0.479602095
## [3149,] 0.018865304   0.026908368
## [3150,] 0.311277512   0.305489123
## [3151,] 0.075461215   0.068062344
## [3152,] 0.275119013   0.269083684
## [3153,] 0.262605028   0.256484236
## [3154,] 0.378878183   0.373551467
## [3155,] 0.000000000   0.007914226
## [3156,] 0.362842675   0.357406446
## [3157,] 0.026725847   0.018994142
## [3158,] 0.547093808   0.542915903
## [3159,] 0.081749650   0.090222176
## [3160,] 0.081749650   0.035898929
## [3161,] 0.396171378   0.305900663
## [3162,] 0.539233265   0.535001677
## [3163,] 0.066028563   0.058565272
## [3164,] 0.539233265   0.535001677
## [3165,] 0.066028563   0.058565272
## [3166,] 0.317565946   0.327648956
## [3167,] 0.710168638   0.504025397
## [3168,] 0.950544050   0.801806064
## [3169,] 0.004857816   0.369720982
## [3170,] 0.396171378   0.406791216
## [3171,] 0.631987675   0.644217996
## [3172,] 0.307190029   0.301373726
## [3173,] 0.624315785   0.636493711
## [3174,] 0.518795853   0.530253142
## [3175,] 0.632302097   0.644534565
## [3176,] 0.025153738   0.017411297
## [3177,] 0.294518834   0.304444446
## [3178,] 0.232672079   0.226346863
## [3179,] 0.238960514   0.248506696
## [3180,] 0.993572664   0.855116290
## [3181,] 1.103620269   0.991430919
## [3182,] 0.358991009   0.369356927
## [3183,] 0.084893867   0.077559415
## [3184,] 0.232672079   0.226346863
## [3185,] 0.025153738   0.017411297
## [3186,] 0.547093808   0.542915903
## [3187,] 0.232672079   0.226346863
## [3188,] 0.311277512   0.305489123
## [3189,] 0.389882944   0.384631383
## [3190,] 1.087899182   1.057847103
## [3191,] 0.160355082   0.169364436
## [3192,] 0.309705403   0.319734730
## [3193,] 0.227955754   0.237426780
## [3194,] 0.270717109   0.280480169
## [3195,] 0.468488376   0.463773643
## [3196,] 0.326998598   0.321317575
## [3197,] 0.326998598   0.321317575
## [3198,] 0.018865304   0.026908368
## [3199,] 0.631987675   0.644217996
## [3200,] 0.012576869   0.004748536
## [3201,] 0.081749650   0.090222176
## [3202,] 0.547093808   0.542915903
## [3203,] 0.081749650   0.090222176
## [3204,] 0.160355082   0.177088721
## [3205,] 0.075461215   0.068062344
## [3206,] 0.396171378   0.406791216
## [3207,] 0.789198540   0.802502516
## [3208,] 0.899246145   0.913301680
## [3209,] 0.160355082   0.169364436
## [3210,] 0.317565946   0.327648956
## [3211,] 0.507791092   0.503344773
## [3212,] 0.372589749   0.383048538
## [3213,] 1.182225701   1.198213816
## [3214,] 0.616266589   0.628389544
## [3215,] 0.331353339   0.325702057
## [3216,] 0.232672079   0.226346863
## [3217,] 0.238960514   0.248506696
## [3218,] 0.334859141   0.329231801
## [3219,] 0.427613551   0.438448120
## [3220,] 0.396171378   0.406791216
## [3221,] 0.710593107   0.723360256
## [3222,] 0.578535981   0.574572807
## [3223,] 0.160355082   0.169364436
## [3224,] 0.539233265   0.535001677
## [3225,] 0.547093808   0.542915903
## [3226,] 0.232672079   0.226346863
## [3227,] 0.238960514   0.079712084
## [3228,] 0.710593107   0.504547736
## [3229,] 0.427613551   1.385622687
## [3230,] 0.059740129   1.357922896
## [3231,] 0.539233265   0.535001677
## [3232,] 0.066028563   0.058565272
## [3233,] 0.311277512   0.305489123
## [3234,] 0.238960514   0.248506696
## [3235,] 0.081749650   0.035898929
## [3236,] 0.553382243   0.476800459
## [3237,] 0.378878183   0.373551467
## [3238,] 0.539233265   0.535001677
## [3239,] 0.066028563   0.058565272
## [3240,] 0.232672079   0.226346863
## [3241,] 0.474776811   0.485933476
## [3242,] 0.084893867   0.077559415
## [3243,] 0.547093808   0.542915903
## [3244,] 0.547093808   0.542915903
## [3245,] 0.232672079   0.226346863
## [3246,] 0.238960514   0.248506696
## [3247,] 0.710593107   0.504547736
## [3248,] 0.867803972   0.699301009
## [3249,] 0.138345561   0.131376152
## [3250,] 0.474776811   0.485933476
## [3251,] 0.710593107   0.723360256
## [3252,] 0.581680199   0.577738498
## [3253,] 0.547093808   0.542915903
## [3254,] 0.232672079   0.226346863
## [3255,] 0.317565946   0.327648956
## [3256,] 1.025014836   0.894054282
## [3257,] 0.232672079   0.226346863
## [3258,] 0.710593107   0.723360256
## [3259,] 0.227955754   0.237426780
## [3260,] 0.044019042   0.036405440
## [3261,] 0.389882944   0.384631383
## [3262,] 0.836361799   0.784410595
## [3263,] 0.899246145   0.852773679
## [3264,] 0.710593107   0.723360256
## [3265,] 0.867803972   0.881644776
## [3266,] 0.441762529   0.436865275
## [3267,] 0.374161857   0.368802931
## [3268,] 0.396171378   0.406791216
## [3269,] 0.828501256   0.842073646
## [3270,] 0.317565946   0.327648956
## [3271,] 0.474776811   0.485933476
## [3272,] 0.025153738   0.017411297
## [3273,] 0.295556425   0.289660671
## [3274,] 0.168750142   0.161988378
## [3275,] 0.369980048   0.380421015
## [3276,] 0.270717109   0.280480169
## [3277,] 0.663429848   0.675874900
## [3278,] 0.232672079   0.226346863
## [3279,] 0.307190029   0.301373726
## [3280,] 0.624315785   0.636493711
## [3281,] 0.160355082   0.049558883
## [3282,] 0.154066647   0.147204604
## [3283,] 0.154066647   0.147204604
## [3284,] 0.527442450   0.523130338
## [3285,] 0.474776811   0.485933476
## [3286,] 0.311277512   0.305489123
## [3287,] 0.003144217   0.011079916
## [3288,] 0.238960514   0.079712084
## [3289,] 0.553382243   0.309794462
## [3290,] 0.789198540   0.802502516
## [3291,] 0.899246145   0.913301680
## [3292,] 0.081749650   0.090222176
## [3293,] 0.710593107   0.723360256
## [3294,] 0.075461215   0.068062344
## [3295,] 0.160355082   0.169364436
## [3296,] 0.468488376   0.463773643
## [3297,] 0.012891291   0.005065105
## [3298,] 0.177349576   0.186474993
## [3299,] 0.836959200   0.850589353
## [3300,] 0.450126147   0.445286011
## [3301,] 0.238960514   0.248506696
## [3302,] 0.180855379   0.174176286
## [3303,] 0.547093808   0.542915903
## [3304,] 0.358991009   0.369356927
## [3305,] 1.087899182   1.103243104
## [3306,] 0.081749650   0.274465358
## [3307,] 0.396171378   0.115041189
## [3308,] 0.559670678   0.555578665
## [3309,] 0.081749650   0.274465358
## [3310,] 0.867803972   0.818584223
## [3311,] 0.075461215   0.068062344
## [3312,] 0.358440771   0.352974479
## [3313,] 0.372589749   0.383048538
## [3314,] 0.789198540   0.601924372
## [3315,] 0.836361799   0.660363017
## [3316,] 0.867803972   0.699301009
## [3317,] 0.946409404   0.796677646
## [3318,] 0.041755206   0.049954594
## [3319,] 0.159726238   0.152902846
## [3320,] 0.679150935   0.613510799
## [3321,] 0.789198540   0.733142239
## [3322,] 1.018726402   0.320494496
## [3323,] 0.081749650   0.090222176
## [3324,] 0.236602351   0.230303976
## [3325,] 1.260831133   1.245825799
## [3326,] 0.317565946   0.327648956
## [3327,] 0.553382243   0.565075736
## [3328,] 0.468488376   0.463773643
## [3329,] 0.081749650   0.090222176
## [3330,] 0.547093808   0.542915903
## [3331,] 0.581680199   0.577738498
## [3332,] 0.441762529   0.436865275
## [3333,] 0.326998598   0.321317575
## [3334,] 0.326998598   0.321317575
## [3335,] 0.154066647   0.147204604
## [3336,] 0.529800613   0.525504606
## [3337,] 0.389882944   0.384631383
## [3338,] 0.028297956   0.020576988
## [3339,] 0.075461215   0.068062344
## [3340,] 0.441762529   0.436865275
## [3341,] 0.374161857   0.368802931
## [3342,] 0.311277512   0.305489123
## [3343,] 0.374161857   0.368802931
## [3344,] 1.292273306   1.309012980
## [3345,] 0.075461215   0.068062344
## [3346,] 0.389882944   0.384631383
## [3347,] 0.081749650   0.090222176
## [3348,] 0.025153738   0.017411297
## [3349,] 0.507791092   0.503344773
## [3350,] 0.372589749   0.383048538
## [3351,] 0.081749650   0.090222176
## [3352,] 0.081749650   0.090222176
## [3353,] 0.106903388   0.099719248
## [3354,] 0.003144217   0.011079916
## [3355,] 0.553382243   0.565075736
## [3356,] 0.389882944   0.384631383
## [3357,] 0.012891291   0.005065105
## [3358,] 0.468488376   0.463773643
## [3359,] 0.452767290   0.447945191
## [3360,] 0.264114252   0.258003767
## [3361,] 0.176076168   0.185192888
## [3362,] 0.031442173   0.039571130
## [3363,] 0.691727804   0.704366114
## [3364,] 0.238960514   0.613035946
## [3365,] 0.726314194   0.664779155
## [3366,] 0.531372722   0.527087451
## [3367,] 0.122624474   0.115547700
## [3368,] 0.389882944   0.384631383
## [3369,] 0.286123773   0.295992052
## [3370,] 0.044019042   0.036405440
## [3371,] 0.032228227   0.024534101
## [3372,] 0.216950993   0.210518411
## [3373,] 1.182225701   1.198213816
## [3374,] 0.000000000   0.007914226
## [3375,] 0.527442450   0.523130338
## [3376,] 0.176076168   0.185192888
## [3377,] 0.290840099   0.284912136
## [3378,] 0.238960514   0.248506696
## [3379,] 0.299235159   0.293364529
## [3380,] 0.482008511   0.493214564
## [3381,] 0.059740129   0.052233892
## [3382,] 0.411892465   0.422619668
## [3383,] 0.396171378   0.342638500
## [3384,] 0.867803972   0.881644776
## [3385,] 0.320710164   0.314986195
## [3386,] 0.232672079   0.226346863
## [3387,] 0.547093808   0.542915903
## [3388,] 0.567374010   0.563334606
## [3389,] 0.487699544   0.498944464
## [3390,] 0.232672079   0.226346863
## [3391,] 0.317565946   0.327648956
## [3392,] 0.474776811   0.485933476
## [3393,] 0.036158499   0.028491214
## [3394,] 0.232672079   0.226346863
## [3395,] 0.160355082   0.169364436
## [3396,] 0.378878183   0.373551467
## [3397,] 0.389882944   0.384631383
## [3398,] 0.484209463   0.479602095
## [3399,] 0.018865304   0.026908368
## [3400,] 0.396171378   0.406791216
## [3401,] 0.828501256   0.842073646
## [3402,] 0.075461215   0.068062344
## [3403,] 0.333287033   0.343477408
## [3404,] 0.311277512   0.305489123
## [3405,] 0.075461215   0.068062344
## [3406,] 0.238960514   0.248506696
## [3407,] 0.396171378   0.406791216
## [3408,] 0.468488376   0.463773643
## [3409,] 0.899246145   0.913301680
## [3410,] 0.232672079   0.226346863
## [3411,] 0.389882944   0.384631383
## [3412,] 0.474776811   0.485933476
## [3413,] 0.374161857   0.368802931
## [3414,] 0.081749650   0.090222176
## [3415,] 0.441762529   0.436865275
## [3416,] 0.389882944   0.384631383
## [3417,] 0.396171378   0.406791216
## [3418,] 0.452767290   0.447945191
## [3419,] 0.521940070   0.442611003
## [3420,] 1.087899182   1.057847103
## [3421,] 0.007860543   0.000000000
## [3422,] 0.547093808   0.542915903
## [3423,] 0.075461215   0.068062344
## [3424,] 0.867803972   0.818584223
## [3425,] 0.899246145   0.852773679
## [3426,] 1.056457009   1.023673476
## [3427,] 0.899246145   0.852773679
## [3428,] 1.056457009   1.023673476
## [3429,] 0.468488376   0.463773643
## [3430,] 0.232672079   0.226346863
## [3431,] 0.160355082   0.169364436
## [3432,] 0.663429848   0.675874900
## [3433,] 0.389882944   0.384631383
## [3434,] 0.238960514   0.248506696
## [3435,] 0.232672079   0.226346863
## [3436,] 0.081749650   0.090222176
## [3437,] 0.122624474   0.115547700
## [3438,] 0.042446933   0.050651046
## [3439,] 0.122624474   0.115547700
## [3440,] 0.264114252   0.258003767
## [3441,] 0.176076168   0.185192888
## [3442,] 0.389882944   0.384631383
## [3443,] 0.358440771   0.352974479
## [3444,] 0.547093808   0.542915903
## [3445,] 0.264114252   0.258003767
## [3446,] 0.176076168   0.185192888
## [3447,] 0.521940070   0.442611003
## [3448,] 1.087899182   1.057847103
## [3449,] 0.468488376   0.463773643
## [3450,] 0.004716326   0.003165690
## [3451,] 0.374161857   0.368802931
## [3452,] 0.075461215   0.068062344
## [3453,] 0.484209463   0.479602095
## [3454,] 0.018865304   0.026908368
## [3455,] 0.389882944   0.384631383
## [3456,] 0.631987675   0.407171099
## [3457,] 1.087113128   0.970980559
## [3458,] 0.232672079   0.226346863
## [3459,] 0.160355082   0.169364436
## [3460,] 0.275119013   0.269083684
## [3461,] 0.581680199   0.577738498
## [3462,] 0.286123773   0.295992052
## [3463,] 0.867803972   0.881644776
## [3464,] 0.012576869   0.004748536
## [3465,] 0.138345561   0.131376152
## [3466,] 0.000000000   0.007914226
## [3467,] 0.160355082   0.169364436
## [3468,] 0.396171378   0.406791216
## [3469,] 0.169787734   0.163033056
## [3470,] 0.521940070   0.533418832
## [3471,] 0.468488376   0.463773643
## [3472,] 0.003144217   0.011079916
## [3473,] 0.553382243   0.565075736
## [3474,] 0.154066647   0.147204604
## [3475,] 0.449623072   0.444779501
## [3476,] 0.143061887   0.151953139
## [3477,] 0.232672079   0.226346863
## [3478,] 0.396171378   0.406791216
## [3479,] 0.547093808   0.542915903
## [3480,] 0.081749650   0.090222176
## [3481,] 0.232672079   0.226346863
## [3482,] 0.547093808   0.542915903
## [3483,] 0.154066647   0.147204604
## [3484,] 0.468488376   0.463773643
## [3485,] 0.075461215   0.068062344
## [3486,] 0.333287033   0.343477408
## [3487,] 0.547093808   0.542915903
## [3488,] 0.075461215   0.068062344
## [3489,] 0.081749650   0.090222176
## [3490,] 0.075461215   0.068062344
## [3491,] 0.378878183   0.373551467
## [3492,] 0.328570707   0.322900421
## [3493,] 0.521940070   0.533418832
## [3494,] 0.547093808   0.542915903
## [3495,] 0.507791092   0.503344773
## [3496,] 0.710593107   0.504547736
## [3497,] 1.276552220   1.273937130
## [3498,] 0.243676840   0.073871385
## [3499,] 0.785268268   0.597065038
## [3500,] 0.468488376   0.463773643
## [3501,] 0.154066647   0.147204604
## [3502,] 0.547093808   0.542915903
## [3503,] 0.070650562   0.079047289
## [3504,] 0.468488376   0.463773643
## [3505,] 0.631987675   0.562242443
## [3506,] 1.103620269   1.074941832
## [3507,] 0.232672079   0.226346863
## [3508,] 0.081749650   0.090222176
## [3509,] 0.441762529   0.436865275
## [3510,] 0.311277512   0.305489123
## [3511,] 0.317565946   0.327648956
## [3512,] 0.389882944   0.384631383
## [3513,] 0.396171378   0.406791216
## [3514,] 0.232672079   0.226346863
## [3515,] 0.081749650   0.090222176
## [3516,] 0.527442450   0.523130338
## [3517,] 0.468488376   0.463773643
## [3518,] 0.081749650   0.090222176
## [3519,] 0.232672079   0.226346863
## [3520,] 0.232672079   0.226346863
## [3521,] 0.081749650   0.090222176
## [3522,] 0.437046203   0.432116739
## [3523,] 0.547093808   0.542915903
## [3524,] 0.581680199   0.577738498
## [3525,] 0.232672079   0.226346863
## [3526,] 0.003144217   0.011079916
## [3527,] 0.581680199   0.577738498
## [3528,] 0.647708762   0.660046448
## [3529,] 0.122624474   0.115547700
## [3530,] 0.122624474   0.115547700
## [3531,] 0.578535981   0.574572807
## [3532,] 0.547093808   0.542915903
## [3533,] 0.232672079   0.226346863
## [3534,] 0.122624474   0.115547700
## [3535,] 0.160983925   0.154169122
## [3536,] 0.547093808   0.542915903
## [3537,] 0.232672079   0.226346863
## [3538,] 0.232672079   0.226346863
## [3539,] 0.075461215   0.068062344
## [3540,] 0.679150935   0.465609744
## [3541,] 0.836361799   0.660363017
## [3542,] 0.572247547   0.568241426
## [3543,] 0.899246145   0.738254829
## [3544,] 1.056457009   0.933008103
## [3545,] 0.358440771   0.352974479
## [3546,] 0.075461215   0.068062344
## [3547,] 0.474776811   0.485933476
## [3548,] 0.389882944   0.384631383
## [3549,] 0.081749650   0.090222176
## [3550,] 0.460627833   0.455859417
## [3551,] 0.389882944   0.384631383
## [3552,] 0.238960514   0.248506696
## [3553,] 0.468488376   0.463773643
## [3554,] 0.311277512   0.305489123
## [3555,] 0.025153738   0.017411297
## [3556,] 0.547093808   0.542915903
## [3557,] 0.264114252   0.258003767
## [3558,] 0.168215625   0.177278662
## [3559,] 0.389882944   0.384631383
## [3560,] 0.358440771   0.352974479
## [3561,] 0.081749650   0.090222176
## [3562,] 0.232672079   0.226346863
## [3563,] 0.154066647   0.147204604
## [3564,] 0.081749650   0.090222176
## [3565,] 0.350580228   0.345060253
## [3566,] 0.334859141   0.329231801
## [3567,] 0.852082885   0.865816324
## [3568,] 1.025014836   1.039929296
## [3569,] 1.025014836   1.039929296
## [3570,] 0.663429848   0.675874900
## [3571,] 0.238960514   0.176328955
## [3572,] 0.867803972   0.841551307
## [3573,] 0.081749650   0.090222176
## [3574,] 1.025014836   1.039929296
## [3575,] 0.232672079   0.226346863
## [3576,] 0.160355082   0.169364436
## [3577,] 0.468488376   0.463773643
## [3578,] 1.292273306   1.290572833
## [3579,] 0.317565946   0.327648956
## [3580,] 0.631987675   0.644217996
## [3581,] 0.216950993   0.210518411
## [3582,] 0.547093808   0.542915903
## [3583,] 0.232672079   0.226346863
## [3584,] 0.075461215   0.068062344
## [3585,] 0.081749650   0.090222176
## [3586,] 0.389882944   0.384631383
## [3587,] 0.154066647   0.147204604
## [3588,] 0.474776811   0.211309834
## [3589,] 0.789198540   0.601117121
## [3590,] 0.003144217   0.011079916
## [3591,] 0.553382243   0.565075736
## [3592,] 0.581680199   0.577738498
## [3593,] 0.378878183   0.373551467
## [3594,] 0.389882944   0.384631383
## [3595,] 0.474776811   0.485933476
## [3596,] 0.232672079   0.226346863
## [3597,] 0.020437412   0.012662762
## [3598,] 0.474776811   0.485933476
## [3599,] 0.710593107   0.723360256
## [3600,] 0.578535981   0.574572807
## [3601,] 0.081749650   0.090222176
## [3602,] 1.458916822   0.970838103
## [3603,] 0.232672079   0.226346863
## [3604,] 0.232672079   0.226346863
## [3605,] 0.474776811   0.211309834
## [3606,] 0.710593107   0.503661342
## [3607,] 0.081749650   0.090222176
## [3608,] 0.232672079   0.226346863
## [3609,] 0.160355082   0.169364436
## [3610,] 0.468488376   0.463773643
## [3611,] 0.081749650   0.090222176
## [3612,] 0.427613551   0.438448120
## [3613,] 0.553382243   0.508948045
## [3614,] 1.103620269   1.091007710
## [3615,] 0.232672079   0.226346863
## [3616,] 0.311277512   0.305489123
## [3617,] 0.232672079   0.226346863
## [3618,] 0.160355082   0.169364436
## [3619,] 0.081749650   0.090222176
## [3620,] 0.946409404   0.924698165
## [3621,] 1.087899182   1.074372007
## [3622,] 0.168750142   0.161988378
## [3623,] 0.369980048   0.380421015
## [3624,] 0.547093808   0.542915903
## [3625,] 0.232672079   0.226346863
## [3626,] 0.160355082   0.169364436
## [3627,] 0.271974796   0.265917993
## [3628,] 0.081749650   0.090222176
## [3629,] 0.789198540   0.802502516
## [3630,] 0.899246145   0.913301680
## [3631,] 0.773477453   0.741768746
## [3632,] 0.232672079   0.226346863
## [3633,] 0.342719685   0.337146027
## [3634,] 0.018865304   0.026908368
## [3635,] 0.389882944   0.384631383
## [3636,] 0.040245981   0.048435063
## [3637,] 0.614694480   0.626806699
## [3638,] 0.273546904   0.267500839
## [3639,] 0.389882944   0.384631383
## [3640,] 0.396171378   0.406791216
## [3641,] 0.484209463   0.479602095
## [3642,] 0.018865304   0.026908368
## [3643,] 0.081749650   0.090222176
## [3644,] 0.468488376   0.463773643
## [3645,] 0.389882944   0.384631383
## [3646,] 0.168750142   0.161988378
## [3647,] 0.369980048   0.380421015
## [3648,] 0.946409404   0.796012851
## [3649,] 0.899246145   0.874806885
## [3650,] 1.056457009   1.041116430
## [3651,] 0.084893867   0.077559415
## [3652,] 0.742035280   0.708513168
## [3653,] 0.547093808   0.542915903
## [3654,] 0.232672079   0.226346863
## [3655,] 0.474776811   0.485933476
## [3656,] 0.710593107   0.723360256
## [3657,] 0.867803972   0.881644776
## [3658,] 0.452767290   0.447945191
## [3659,] 0.295556425   0.289660671
## [3660,] 0.216950993   0.210518411
## [3661,] 0.299235159   0.293364529
## [3662,] 0.482008511   0.493214564
## [3663,] 0.081749650   0.090222176
## [3664,] 0.631987675   0.644217996
## [3665,] 0.631987675   0.592094904
## [3666,] 1.103620269   1.091007710
## [3667,] 0.075461215   0.068062344
## [3668,] 0.553382243   0.565075736
## [3669,] 0.867803972   0.881644776
## [3670,] 0.232672079   0.226346863
## [3671,] 0.160355082   0.169364436
## [3672,] 0.081749650   0.090222176
## [3673,] 0.946409404   0.924698165
## [3674,] 1.087899182   1.074372007
## [3675,] 0.468488376   0.463773643
## [3676,] 0.358440771   0.352974479
## [3677,] 0.372589749   0.383048538
## [3678,] 0.075461215   0.068062344
## [3679,] 0.232672079   0.226346863
## [3680,] 0.168750142   0.161988378
## [3681,] 0.369980048   0.380421015
## [3682,] 0.232672079   0.226346863
## [3683,] 0.160355082   0.169364436
## [3684,] 0.380450292   0.375134312
## [3685,] 0.251537383   0.261169458
## [3686,] 0.311277512   0.305489123
## [3687,] 0.389882944   0.384631383
## [3688,] 0.238960514   0.248506696
## [3689,] 0.081749650   0.090222176
## [3690,] 0.025153738   0.017411297
## [3691,] 0.389882944   0.384631383
## [3692,] 0.081749650   0.090222176
## [3693,] 0.232672079   0.226346863
## [3694,] 0.468488376   0.463773643
## [3695,] 0.547093808   0.542915903
## [3696,] 0.389882944   0.384631383
## [3697,] 0.631987675   0.644217996
## [3698,] 0.789198540   0.802502516
## [3699,] 0.710593107   0.675241762
## [3700,] 0.867803972   0.841551307
## [3701,] 0.468488376   0.463773643
## [3702,] 0.311277512   0.305489123
## [3703,] 0.003144217   0.011079916
## [3704,] 0.553382243   0.565075736
## [3705,] 0.389882944   0.384631383
## [3706,] 0.160355082   0.169364436
## [3707,] 0.464715315   0.459974815
## [3708,] 0.232672079   0.226346863
## [3709,] 0.097470736   0.106050628
## [3710,] 0.001257687   0.075121833
## [3711,] 0.469117220   0.419802204
## [3712,] 0.757756367   0.562131644
## [3713,] 0.993572664   0.854483152
## [3714,] 0.136773452   0.129793306
## [3715,] 0.160355082   0.169364436
## [3716,] 0.154066647   0.147204604
## [3717,] 0.081749650   0.090222176
## [3718,] 0.427613551   0.438448120
## [3719,] 0.232672079   0.226346863
## [3720,] 0.160355082   0.169364436
## [3721,] 0.075461215   0.068062344
## [3722,] 0.553382243   0.565075736
## [3723,] 0.867803972   0.881644776
## [3724,] 0.378878183   0.373551467
## [3725,] 0.081749650   0.090222176
## [3726,] 0.581680199   0.577738498
## [3727,] 0.474776811   0.485933476
## [3728,] 0.946409404   0.924698165
## [3729,] 1.087899182   1.074372007
## [3730,] 0.547093808   0.542915903
## [3731,] 0.232672079   0.226346863
## [3732,] 0.075461215   0.068062344
## [3733,] 0.553382243   0.565075736
## [3734,] 0.694872021   0.658621887
## [3735,] 0.742035280   0.708513168
## [3736,] 0.389882944   0.384631383
## [3737,] 0.238960514   0.248506696
## [3738,] 0.295556425   0.289660671
## [3739,] 0.421325117   0.416288287
## [3740,] 0.389882944   0.384631383
## [3741,] 0.084893867   0.077559415
## [3742,] 0.169787734   0.163033056
## [3743,] 0.144633995   0.153535984
## [3744,] 0.474776811   0.211309834
## [3745,] 0.757756367   0.562131644
## [3746,] 0.003144217   0.011079916
## [3747,] 0.553382243   0.565075736
## [3748,] 0.499930549   0.007344402
## [3749,] 0.380450292   0.375134312
## [3750,] 0.468488376   0.463773643
## [3751,] 0.081749650   0.090222176
## [3752,] 0.553382243   0.565075736
## [3753,] 0.551024080   0.546873016
## [3754,] 0.389882944   0.384631383
## [3755,] 0.081749650   0.090222176
## [3756,] 0.059740129   0.052233892
## [3757,] 0.468488376   0.463773643
## [3758,] 0.232672079   0.226346863
## [3759,] 0.075461215   0.156274307
## [3760,] 0.553382243   0.508948045
## [3761,] 0.468488376   0.463773643
## [3762,] 0.081749650   0.090222176
## [3763,] 0.232672079   0.226346863
## [3764,] 0.160355082   0.169364436
## [3765,] 0.631987675   0.592094904
## [3766,] 1.025014836   1.007860852
## [3767,] 0.389882944   0.384631383
## [3768,] 0.389882944   0.384631383
## [3769,] 0.663429848   0.625350481
## [3770,] 0.232672079   0.226346863
## [3771,] 0.160355082   0.169364436
## [3772,] 0.547093808   0.542915903
## [3773,] 0.232672079   0.226346863
## [3774,] 0.084893867   0.077559415
## [3775,] 0.396171378   0.406791216
## [3776,] 0.378878183   0.373551467
## [3777,] 0.468488376   0.463773643
## [3778,] 0.075461215   0.068062344
## [3779,] 0.547093808   0.542915903
## [3780,] 0.452767290   0.447945191
## [3781,] 0.232672079   0.226346863
## [3782,] 0.378878183   0.373551467
## [3783,] 1.245110047   1.240681552
## [3784,] 0.238960514   0.248506696
## [3785,] 0.631987675   0.592094904
## [3786,] 1.103620269   1.091007710
## [3787,] 0.154066647   0.147204604
## [3788,] 0.468488376   0.463773643
## [3789,] 0.000000000   0.007914226
## [3790,] 0.553382243   0.308765613
## [3791,] 1.025014836   0.893468630
## [3792,] 0.946409404   0.924698165
## [3793,] 1.087899182   1.074372007
## [3794,] 0.273546904   0.267500839
## [3795,] 0.081749650   0.090222176
## [3796,] 0.081749650   0.010035239
## [3797,] 0.389882944   0.384631383
## [3798,] 0.081749650   0.090222176
## [3799,] 0.317565946   0.016414105
## [3800,] 0.710593107   0.503661342
## [3801,] 0.311277512   0.305489123
## [3802,] 0.075461215   0.068062344
## [3803,] 0.295556425   0.289660671
## [3804,] 0.028297956   0.020576988
## [3805,] 0.081749650   0.090222176
## [3806,] 0.468488376   0.463773643
## [3807,] 0.232672079   0.226346863
## [3808,] 0.160355082   0.169364436
## [3809,] 0.025153738   0.017411297
## [3810,] 0.081749650   0.090222176
## [3811,] 0.631987675   0.644217996
## [3812,] 0.232672079   0.226346863
## [3813,] 0.160355082   0.169364436
## [3814,] 0.710593107   0.675241762
## [3815,] 1.103620269   1.091007710
## [3816,] 0.389882944   0.384631383
## [3817,] 0.484209463   0.479602095
## [3818,] 0.018865304   0.026908368
## [3819,] 0.201229907   0.194689959
## [3820,] 0.378878183   0.373551467
## [3821,] 0.631987675   0.592094904
## [3822,] 0.405604030   0.400459835
## [3823,] 0.050307477   0.058565272
## [3824,] 0.084893867   0.077559415
## [3825,] 0.468488376   0.463773643
## [3826,] 0.081749650   0.090222176
## [3827,] 0.396171378   0.406791216
## [3828,] 0.631987675   0.644217996
## [3829,] 0.468488376   0.463773643
## [3830,] 0.081749650   0.090222176
## [3831,] 0.867803972   0.698572900
## [3832,] 1.103620269   0.990924408
## [3833,] 0.468488376   0.463773643
## [3834,] 0.396171378   0.406791216
## [3835,] 0.527442450   0.523130338
## [3836,] 0.173718005   0.166990169
## [3837,] 0.527442450   0.523130338
## [3838,] 0.527442450   0.523130338
## [3839,] 0.527442450   0.523130338
## [3840,] 0.173718005   0.166990169
## [3841,] 0.342719685   0.337146027
## [3842,] 0.581680199   0.577738498
## [3843,] 0.937684201   0.952002245
## [3844,] 0.378878183   0.373551467
## [3845,] 0.946409404   0.924698165
## [3846,] 1.087899182   1.074372007
## [3847,] 0.581680199   0.577738498
## [3848,] 0.378878183   0.373551467
## [3849,] 0.468488376   0.463773643
## [3850,] 0.081749650   0.090222176
## [3851,] 0.075461215   0.068062344
## [3852,] 0.160355082   0.169364436
## [3853,] 0.378878183   0.373551467
## [3854,] 0.389882944   0.384631383
## [3855,] 0.084893867   0.077559415
## [3856,] 0.581680199   0.577738498
## [3857,] 0.317565946   0.016414105
## [3858,] 0.631987675   0.406221392
## [3859,] 0.378878183   0.373551467
## [3860,] 0.558098569   0.553995820
## [3861,] 0.179220386   0.188358579
## [3862,] 0.468488376   0.463773643
## [3863,] 0.168750142   0.161988378
## [3864,] 0.369980048   0.380421015
## [3865,] 0.081749650   0.015875937
## [3866,] 1.135062442   1.150728460
## [3867,] 1.135062442   1.124263288
## [3868,] 0.216950993   0.210518411
## [3869,] 0.290022603   0.284089056
## [3870,] 0.389882944   0.384631383
## [3871,] 0.081749650   0.090222176
## [3872,] 0.468488376   0.463773643
## [3873,] 0.081749650   0.090222176
## [3874,] 0.452767290   0.447945191
## [3875,] 0.378878183   0.373551467
## [3876,] 0.389882944   0.384631383
## [3877,] 0.003144217   0.011079916
## [3878,] 0.580532559   0.576583021
## [3879,] 0.059740129   0.052233892
## [3880,] 0.411892465   0.422619668
## [3881,] 0.059740129   0.052233892
## [3882,] 0.317565946   0.259491642
## [3883,] 0.366301314   0.360888705
## [3884,] 0.238960514   0.248506696
## [3885,] 0.438618312   0.449528037
## [3886,] 0.936976752   0.951289965
## [3887,] 0.342719685   0.337146027
## [3888,] 0.075461215   0.068062344
## [3889,] 0.484209463   0.479602095
## [3890,] 0.547093808   0.542915903
## [3891,] 0.389882944   0.384631383
## [3892,] 0.238960514   0.248506696
## [3893,] 0.232672079   0.226346863
## [3894,] 0.081749650   0.090222176
## [3895,] 0.317565946   0.327648956
## [3896,] 0.427613551   0.438448120
## [3897,] 0.075461215   0.068062344
## [3898,] 0.484209463   0.479602095
## [3899,] 0.018865304   0.026908368
## [3900,] 0.946409404   0.924698165
## [3901,] 1.087899182   1.074372007
## [3902,] 0.084893867   0.077559415
## [3903,] 0.867803972   0.698572900
## [3904,] 1.025014836   0.893468630
## [3905,] 0.389882944   0.384631383
## [3906,] 0.468488376   0.463773643
## [3907,] 0.081749650   0.090222176
## [3908,] 0.081749650   0.090222176
## [3909,] 0.232672079   0.226346863
## [3910,] 0.160355082   0.169364436
## [3911,] 0.914967231   0.757043202
## [3912,] 0.647708762   0.660046448
## [3913,] 1.056457009   1.041116430
## [3914,] 0.171359842   0.164615901
## [3915,] 0.342719685   0.337146027
## [3916,] 0.530398015   0.526106087
## [3917,] 0.459055724   0.470105024
## [3918,] 0.216950993   0.210518411
## [3919,] 0.389882944   0.384631383
## [3920,] 0.081749650   0.090222176
## [3921,] 0.333287033   0.035898929
## [3922,] 0.474776811   0.211309834
## [3923,] 0.396171378   0.406791216
## [3924,] 0.828501256   0.842073646
## [3925,] 0.547093808   0.542915903
## [3926,] 0.468488376   0.463773643
## [3927,] 0.081749650   0.090222176
## [3928,] 0.581680199   0.577738498
## [3929,] 0.317628831   0.311883818
## [3930,] 0.389882944   0.384631383
## [3931,] 0.075461215   0.068062344
## [3932,] 0.279835339   0.273832219
## [3933,] 0.203588070   0.212892679
## [3934,] 0.081749650   0.090222176
## [3935,] 0.128912909   0.137707532
## [3936,] 0.238960514   0.248506696
## [3937,] 0.081749650   0.090222176
## [3938,] 0.396171378   0.406791216
## [3939,] 0.828501256   0.842073646
## [3940,] 0.358440771   0.352974479
## [3941,] 0.372589749   0.383048538
## [3942,] 0.003144217   0.011079916
## [3943,] 0.553382243   0.565075736
## [3944,] 0.271974796   0.265917993
## [3945,] 0.185508820   0.178861507
## [3946,] 0.014148978   0.022159833
## [3947,] 0.899246145   0.874806885
## [3948,] 1.103620269   1.091007710
## [3949,] 0.097470736   0.106050628
## [3950,] 0.075461215   0.068062344
## [3951,] 0.378878183   0.373551467
## [3952,] 1.182225701   1.198213816
## [3953,] 0.427613551   0.438448120
## [3954,] 0.899246145   0.913301680
## [3955,] 0.389882944   0.384631383
## [3956,] 0.160355082   0.169364436
## [3957,] 0.427613551   0.438448120
## [3958,] 0.993572664   1.008272392
## [3959,] 0.154066647   0.147204604
## [3960,] 0.427613551   0.438448120
## [3961,] 0.899246145   0.913301680
## [3962,] 0.390668998   0.385422806
## [3963,] 0.007860543   0.000000000
## [3964,] 0.251537383   0.261169458
## [3965,] 0.333287033   0.343477408
## [3966,] 0.804919626   0.818330968
## [3967,] 0.396171378   0.406791216
## [3968,] 0.144633995   0.505845669
## [3969,] 1.229388960   1.146834661
## [3970,] 0.378878183   0.373551467
## [3971,] 0.084893867   0.077559415
## [3972,] 0.081749650   0.485142054
## [3973,] 0.378878183   0.373551467
## [3974,] 0.378878183   0.373551467
## [3975,] 0.044019042   0.036405440
## [3976,] 1.056457009   1.071586200
## [3977,] 0.317565946   0.327648956
## [3978,] 0.631987675   0.644217996
## [3979,] 1.056457009   1.071586200
## [3980,] 0.238960514   0.081041674
## [3981,] 0.474776811   0.211309834
## [3982,] 0.025153738   0.017411297
## [3983,] 0.867803972   0.881644776
## [3984,] 0.378878183   0.373551467
## [3985,] 1.056457009   1.071586200
## [3986,] 0.389882944   0.384631383
## [3987,] 0.286123773   0.280163600
## [3988,] 0.268830578   0.278580755
## [3989,] 0.232672079   0.226346863
## [3990,] 0.789198540   0.802502516
## [3991,] 0.378878183   0.373551467
## [3992,] 0.389882944   0.384631383
## [3993,] 0.084893867   0.077559415
## [3994,] 0.232672079   0.226346863
## [3995,] 0.531372722   0.527087451
## [3996,] 0.264114252   0.258003767
## [3997,] 0.378878183   0.373551467
## [3998,] 0.540805374   0.536584522
## [3999,] 0.306561186   0.316569040
## [4000,] 0.867803972   0.881644776
## [4001,] 0.378878183   0.373551467
## [4002,] 0.378878183   0.373551467
## [4003,] 0.110047605   0.118713390
## [4004,] 0.154066647   0.147204604
## [4005,] 0.160355082   0.169364436
## [4006,] 0.616266589   0.628389544
## [4007,] 0.867803972   0.881644776
## [4008,] 0.946409404   0.924698165
## [4009,] 1.087899182   1.074372007
## [4010,] 0.452767290   0.447945191
## [4011,] 0.113191822   0.121879080
## [4012,] 0.003144217   0.011079916
## [4013,] 0.679150935   0.691703352
## [4014,] 0.757756367   0.770845612
## [4015,] 0.159726238   0.152902846
## [4016,] 0.232672079   0.356599195
## [4017,] 0.553382243   0.508948045
## [4018,] 1.025014836   1.007860852
## [4019,] 0.044019042   0.036405440
## [4020,] 0.924399883   0.320937693
## [4021,] 0.168750142   0.161988378
## [4022,] 0.369980048   0.380421015
## [4023,] 0.571068465   0.567054293
## [4024,] 0.899246145   0.874806885
## [4025,] 1.103620269   1.091007710
## [4026,] 0.521940070   0.475676639
## [4027,] 0.616266589   0.575459201
## [4028,] 0.238960514   0.248506696
## [4029,] 0.232672079   0.322583852
## [4030,] 0.396171378   0.342638500
## [4031,] 0.044019042   0.036405440
## [4032,] 0.317565946   0.327648956
## [4033,] 0.421325117   0.416288287
## [4034,] 0.389882944   0.384631383
## [4035,] 0.075461215   0.068062344
## [4036,] 0.631987675   0.959995613
## [4037,] 0.773477453   1.007829195
## [4038,] 0.468488376   0.463773643
## [4039,] 0.422897225   0.417871133
## [4040,] 1.339436565   1.356498336
## [4041,] 0.547093808   0.542915903
## [4042,] 0.075461215   0.068062344
## [4043,] 0.317565946   0.327648956
## [4044,] 0.663429848   0.675874900
## [4045,] 0.171359842   0.164615901
## [4046,] 0.867803972   0.881644776
## [4047,] 0.085679921   0.094179289
## [4048,] 0.578535981   0.590401259
## [4049,] 0.358440771   0.352974479
## [4050,] 0.468488376   0.463773643
## [4051,] 0.389882944   0.384631383
## [4052,] 0.075461215   0.068062344
## [4053,] 0.571068465   0.567054293
## [4054,] 0.317565946   0.327648956
## [4055,] 0.410320356   0.405208371
## [4056,] 0.003144217   0.011079916
## [4057,] 0.571068465   0.567054293
## [4058,] 0.571068465   0.567054293
## [4059,] 0.075461215   0.068062344
## [4060,] 0.097470736   0.106050628
## [4061,] 0.571068465   0.567054293
## [4062,] 0.571068465   0.567054293
## [4063,] 0.571068465   0.567054293
## [4064,] 0.468488376   0.463773643
## [4065,] 0.571068465   0.567054293
## [4066,] 0.571068465   0.567054293
## [4067,] 0.571068465   0.567054293
## [4068,] 0.397743487   0.392545609
## [4069,] 0.389882944   0.384631383
## [4070,] 0.333287033   0.343477408
## [4071,] 0.081749650   0.090222176
## [4072,] 0.710593107   0.723360256
## [4073,] 0.631987675   0.406221392
## [4074,] 0.789198540   0.601117121
## [4075,] 0.567531221   0.563492891
## [4076,] 0.048735368   0.056982427
## [4077,] 0.899246145   0.874806885
## [4078,] 1.103620269   1.091007710
## [4079,] 0.349008119   0.055399582
## [4080,] 0.122624474   0.115547700
## [4081,] 1.182225701   1.174154569
## [4082,] 0.410320356   0.405208371
## [4083,] 0.410320356   0.405208371
## [4084,] 0.410320356   0.405208371
## [4085,] 0.468488376   0.463773643
## [4086,] 0.468488376   0.463773643
## [4087,] 0.396171378   0.406791216
## [4088,] 0.317565946   0.327648956
## [4089,] 0.422897225   0.417871133
## [4090,] 0.710593107   0.723360256
## [4091,] 0.710593107   0.675241762
## [4092,] 0.867803972   0.881644776
## [4093,] 0.547093808   0.542915903
## [4094,] 0.003144217   0.011079916
## [4095,] 0.631987675   0.406221392
## [4096,] 0.789198540   0.601117121
## [4097,] 0.547093808   0.542915903
## [4098,] 0.081749650   0.090222176
## [4099,] 0.710593107   0.723360256
## [4100,] 0.044019042   0.036405440
## [4101,] 1.339436565   1.356498336
## [4102,] 0.468488376   0.463773643
## [4103,] 0.378878183   0.373551467
## [4104,] 0.081749650   0.090222176
## [4105,] 0.271974796   0.265917993
## [4106,] 0.081749650   0.090222176
## [4107,] 1.418041998   1.435640596
## [4108,] 0.191797255   0.201021340
## [4109,] 0.506218984   0.517590380
## [4110,] 0.081749650   0.090222176
## [4111,] 0.710593107   0.723360256
## [4112,] 0.499836223   0.495335577
## [4113,] 0.057067544   0.065371507
## [4114,] 0.663429848   0.675874900
## [4115,] 0.452767290   0.447945191
## [4116,] 0.113191822   0.121879080
## [4117,] 0.571068465   0.567054293
## [4118,] 0.789198540   0.758404449
## [4119,] 0.484209463   0.479602095
## [4120,] 0.106903388   0.099719248
## [4121,] 0.547093808   0.542915903
## [4122,] 0.389882944   0.384631383
## [4123,] 0.663429848   0.675874900
## [4124,] 1.135062442   0.954613940
## [4125,] 0.663429848   0.675874900
## [4126,] 0.571068465   0.567054293
## [4127,] 0.121052366   0.129793306
## [4128,] 0.591112850   0.587235569
## [4129,] 0.553382243   0.508948045
## [4130,] 0.867803972   0.881644776
## [4131,] 0.393656005   0.388430212
## [4132,] 0.551024080   0.546873016
## [4133,] 0.468488376   0.463773643
## [4134,] 0.154066647   0.147204604
## [4135,] 0.571068465   0.567054293
## [4136,] 0.571068465   0.567054293
## [4137,] 0.571068465   0.567054293
## [4138,] 0.474776811   0.485933476
## [4139,] 0.396171378   0.342638500
## [4140,] 0.553382243   0.508948045
## [4141,] 0.396171378   0.113869884
## [4142,] 0.553382243   0.308765613
## [4143,] 0.396171378   0.342638500
## [4144,] 0.553382243   0.508948045
## [4145,] 0.571068465   0.567054293
## [4146,] 0.571068465   0.567054293
## [4147,] 0.343096991   0.048071009
## [4148,] 0.631924791   0.406142250
## [4149,] 0.571068465   0.567054293
## [4150,] 0.318226232   0.017237184
## [4151,] 0.603343856   0.370702346
## [4152,] 0.571068465   0.567054293
## [4153,] 0.571068465   0.567054293
## [4154,] 0.154066647   0.147204604
## [4155,] 1.182225701   1.174154569
## [4156,] 0.380450292   0.390962764
## [4157,] 0.616266589   0.628389544
## [4158,] 0.930688318   0.944958584
## [4159,] 0.396171378   0.406791216
## [4160,] 0.485781571   0.481184941
## [4161,] 0.663429848   0.675874900
## [4162,] 0.144633995   0.197982278
## [4163,] 0.238960514   0.081041674
## [4164,] 0.232672079   1.371171311
## [4165,] 0.571068465   0.567054293
## [4166,] 0.571068465   0.567054293
## [4167,] 0.571068465   0.567054293
## [4168,] 0.160355082   0.169364436
## [4169,] 0.553382243   0.565075736
## [4170,] 0.474776811   0.485933476
## [4171,] 0.122624474   0.115547700
## [4172,] 0.389882944   0.384631383
## [4173,] 0.122624474   0.115547700
## [4174,] 0.547093808   0.542915903
## [4175,] 0.867803972   0.881644776
## [4176,] 0.443334638   0.828334550
## [4177,] 0.547093808   0.542915903
## [4178,] 1.205807331   1.199100209
## [4179,] 0.663429848   0.675874900
## [4180,] 0.221667319   0.215266947
## [4181,] 0.003144217   0.011079916
## [4182,] 0.238960514   0.248506696
## [4183,] 0.299801119   0.293934353
## [4184,] 0.836361799   0.808295729
## [4185,] 0.506218984   0.501761928
## [4186,] 0.663429848   0.675874900
## [4187,] 0.018865304   0.353892530
## [4188,] 0.364729206   0.375134312
## [4189,] 0.075461215   0.068062344
## [4190,] 0.452767290   0.447945191
## [4191,] 0.232672079   0.226346863
## [4192,] 0.075461215   0.156274307
## [4193,] 0.317565946   0.259491642
## [4194,] 0.663429848   0.675874900
## [4195,] 0.468488376   0.463773643
## [4196,] 0.317565946   0.327648956
## [4197,] 0.468488376   0.463773643
## [4198,] 0.317565946   0.327648956
## [4199,] 0.136773452   0.129793306
## [4200,] 0.326998598   0.321317575
## [4201,] 0.397743487   0.392545609
## [4202,] 0.468488376   0.463773643
## [4203,] 0.396171378   0.113869884
## [4204,] 0.710593107   0.503661342
## [4205,] 0.185508820   0.178861507
## [4206,] 0.090396247   0.098927825
## [4207,] 0.468488376   0.463773643
## [4208,] 0.378878183   0.373551467
## [4209,] 0.946409404   0.796012851
## [4210,] 0.553382243   0.308765613
## [4211,] 0.867803972   0.698572900
## [4212,] 0.389882944   0.384631383
## [4213,] 0.544892856   0.540699920
## [4214,] 0.286123773   0.280163600
## [4215,] 0.268830578   0.278580755
## [4216,] 0.899246145   0.874806885
## [4217,] 0.567531221   0.563492891
## [4218,] 0.048735368   0.056982427
## [4219,] 0.567531221   0.563492891
## [4220,] 0.048735368   0.056982427
## [4221,] 0.867803972   0.881644776
## [4222,] 0.396171378   0.342638500
## [4223,] 0.867803972   0.698572900
## [4224,] 0.663429848   0.675874900
## [4225,] 0.548665917   0.544498748
## [4226,] 0.410320356   0.405208371
## [4227,] 1.276552220   1.293184528
## [4228,] 1.276552220   1.293184528
## [4229,] 0.663429848   0.675874900
## [4230,] 0.410320356   0.405208371
## [4231,] 0.154066647   0.147204604
## [4232,] 0.154066647   0.147204604
## [4233,] 0.378878183   0.373551467
## [4234,] 0.547093808   0.542915903
## [4235,] 0.867803972   0.881644776
## [4236,] 0.396171378   0.342638500
## [4237,] 0.028297956   0.412362831
## [4238,] 0.899246145   0.913301680
## [4239,] 0.081749650   0.090222176
## [4240,] 0.789198540   0.802502516
## [4241,] 0.389882944   0.384631383
## [4242,] 0.499930549   0.452392986
## [4243,] 0.875664515   0.849861244
## [4244,] 0.095898627   0.104467783
## [4245,] 0.804919626   0.818330968
## [4246,] 0.663429848   0.675874900
## [4247,] 0.663429848   0.675874900
## [4248,] 0.663429848   0.675874900
## [4249,] 0.389882944   0.384631383
## [4250,] 0.081749650   0.090222176
## [4251,] 0.396171378   0.406791216
## [4252,] 0.081749650   0.090222176
## [4253,] 1.182225701   1.198213816
## [4254,] 1.229388960   1.224045849
## [4255,] 0.490497897   0.230810487
## [4256,] 0.867803972   0.698572900
## [4257,] 0.742035280   0.708513168
## [4258,] 0.389882944   0.384631383
## [4259,] 0.631987675   0.406221392
## [4260,] 0.372196722   0.366824375
## [4261,] 0.180792494   0.189941424
## [4262,] 0.081749650   0.090222176
## [4263,] 0.488296945   0.483717493
## [4264,] 0.064142033   0.056665858
## [4265,] 0.207518341   0.216849792
## [4266,] 0.075461215   0.470833133
## [4267,] 0.317565946   0.016414105
## [4268,] 0.185508820   0.178861507
## [4269,] 0.090396247   0.098927825
## [4270,] 0.374161857   0.368802931
## [4271,] 0.301844860   0.311820504
## [4272,] 0.221667319   0.215266947
## [4273,] 0.081749650   0.090222176
## [4274,] 1.260831133   1.277356076
## [4275,] 0.238960514   0.640150084
## [4276,] 0.081749650   0.090222176
## [4277,] 0.090003220   0.082703662
## [4278,] 1.295417523   1.312178670
## [4279,] 0.207518341   0.216849792
## [4280,] 0.410320356   0.405208371
## [4281,] 1.339436565   1.312036214
## [4282,] 1.418041998   1.435640596
## [4283,] 0.468488376   0.463773643
## [4284,] 1.380311390   0.444241334
## [4285,] 0.349008119   0.359305860
## [4286,] 0.474776811   0.211309834
## [4287,] 0.789198540   0.601117121
## [4288,] 0.121052366   0.113964854
## [4289,] 0.233929766   0.243441592
## [4290,] 0.671290391   0.633676247
## [4291,] 0.160355082   0.178481625
## [4292,] 0.474776811   0.211309834
## [4293,] 0.232672079   0.226346863
## [4294,] 0.121052366   0.113964854
## [4295,] 0.233929766   0.243441592
## [4296,] 0.003144217   0.004748536
## [4297,] 0.974707360   0.893231203
## [4298,] 0.238960514   0.081041674
## [4299,] 0.474776811   0.211309834
## [4300,] 0.168750142   0.161988378
## [4301,] 0.369980048   0.380421015
## [4302,] 0.396171378   0.342638500
## [4303,] 0.421325117   0.416288287
## [4304,] 0.279835339   0.273832219
## [4305,] 0.867803972   0.841551307
## [4306,] 0.867803972   0.841551307
## [4307,] 0.704304673   0.150718520
## [4308,] 0.426355864   0.421353392
## [4309,] 0.499836223   0.495335577
## [4310,] 0.057067544   0.065371507
## [4311,] 0.372196722   0.366824375
## [4312,] 0.180792494   0.189941424
## [4313,] 1.205807331   1.117599510
## [4314,] 0.069172780   0.077559415
## [4315,] 1.025014836   0.893468630
## [4316,] 1.182225701   1.088364359
## [4317,] 1.025014836   1.007860852
## [4318,] 1.182225701   1.174154569
## [4319,] 0.396171378   0.342638500
## [4320,] 0.553382243   0.508948045
## [4321,] 0.396171378   0.113869884
## [4322,] 0.553382243   0.308765613
## [4323,] 0.396171378   0.342638500
## [4324,] 0.553382243   0.508948045
## [4325,] 1.025014836   1.007860852
## [4326,] 1.182225701   1.174154569
## [4327,] 0.474776811   0.211309834
## [4328,] 0.710593107   0.503661342
## [4329,] 0.553382243   0.549247284
## [4330,] 0.710593107   0.675241762
## [4331,] 0.946409404   0.924698165
## [4332,] 0.789198540   0.601117121
## [4333,] 1.103620269   0.990924408
## [4334,] 0.710593107   0.675241762
## [4335,] 0.946409404   0.924698165
## [4336,] 0.710593107   0.503661342
## [4337,] 0.946409404   0.796012851
## [4338,] 0.974707360   0.864803303
## [4339,] 0.710593107   0.723360256
## [4340,] 0.350580228   0.360888705
## [4341,] 0.649280870   0.661629293
## [4342,] 0.111619714   0.104467783
## [4343,] 0.396171378   0.406791216
## [4344,] 0.742035280   0.755017160
## [4345,] 0.742035280   0.755017160
## [4346,] 0.484209463   0.479602095
## [4347,] 0.056595911   0.049068201
## [4348,] 0.867803972   0.698572900
## [4349,] 1.182225701   1.088364359
## [4350,] 0.710593107   0.503661342
## [4351,] 1.025014836   0.893468630
## [4352,] 0.235187453   0.228879416
## [4353,] 0.298543432   0.292668077
## [4354,] 0.233929766   0.243441592
## [4355,] 0.426355864   0.421353392
## [4356,] 0.232672079   0.226346863
## [4357,] 0.334859141   0.329231801
## [4358,] 0.016664352   0.008863933
## [4359,] 0.169787734   0.163033056
## [4360,] 0.097470736   0.106050628
## [4361,] 0.242104731   0.235843935
## [4362,] 0.389882944   0.384631383
## [4363,] 0.238960514   0.248506696
## [4364,] 0.048735368   0.056982427
## [4365,] 0.319138055   0.329231801
## [4366,] 0.493956536   0.489415736
## [4367,] 0.091811145   0.100352386
## [4368,] 0.238960514   0.081041674
## [4369,] 0.396171378   0.113869884
## [4370,] 0.279835339   0.273832219
## [4371,] 1.025014836   0.893468630
## [4372,] 1.103620269   0.990924408
## [4373,] 0.389882944   0.384631383
## [4374,] 0.075461215   0.068062344
## [4375,] 0.468488376   0.463773643
## [4376,] 0.502147222   0.497662359
## [4377,] 0.279835339   0.273832219
## [4378,] 0.710593107   0.503661342
## [4379,] 0.867803972   0.698572900
## [4380,] 0.525084287   0.520756071
## [4381,] 0.227955754   0.237426780
## [4382,] 0.389882944   0.384631383
## [4383,] 0.690155695   0.702783268
## [4384,] 0.389882944   0.384631383
## [4385,] 0.690155695   0.702783268
## [4386,] 0.122624474   0.115547700
## [4387,] 0.151708484   0.160658788
## [4388,] 0.161927190   0.155118830
## [4389,] 0.121052366   0.113964854
## [4390,] 0.233929766   0.243441592
## [4391,] 0.121052366   0.113964854
## [4392,] 0.233929766   0.243441592
## [4393,] 0.426355864   0.421353392
## [4394,] 0.493642114   0.489099167
## [4395,] 0.064142033   0.056665858
## [4396,] 0.372196722   0.366824375
## [4397,] 0.180792494   0.189941424
## [4398,] 0.468488376   0.463773643
## [4399,] 0.553382243   0.549247284
## [4400,] 0.545521700   0.557161510
## [4401,] 0.804919626   0.818330968
## [4402,] 0.553382243   0.549247284
## [4403,] 0.551024080   0.546873016
## [4404,] 0.172145897   0.165407323
## [4405,] 0.096684682   0.105259206
## [4406,] 0.389882944   0.384631383
## [4407,] 0.121052366   0.113964854
## [4408,] 0.233929766   0.243441592
## [4409,] 0.317565946   0.327648956
## [4410,] 0.474776811   0.485933476
## [4411,] 0.154066647   0.147204604
## [4412,] 0.567531221   0.563492891
## [4413,] 0.048735368   0.056982427
## [4414,] 0.168750142   0.161988378
## [4415,] 0.369980048   0.380421015
## [4416,] 0.095898627   0.104467783
## [4417,] 0.389882944   0.384631383
## [4418,] 0.083321758   0.075976570
## [4419,] 0.867803972   0.698572900
## [4420,] 1.103620269   0.990924408
## [4421,] 0.396171378   0.406791216
## [4422,] 0.710593107   0.723360256
## [4423,] 0.064142033   0.056665858
## [4424,] 0.389882944   0.384631383
## [4425,] 0.600545502   0.612561092
## [4426,] 0.836361799   0.849987872
## [4427,] 0.326998598   0.321317575
## [4428,] 0.374161857   0.368802931
## [4429,] 0.097470736   0.106050628
## [4430,] 0.547093808   0.542915903
## [4431,] 0.547093808   0.542915903
## [4432,] 0.547093808   0.542915903
## [4433,] 0.081749650   0.090222176
## [4434,] 0.569103329   0.580904188
## [4435,] 0.547093808   0.542915903
## [4436,] 0.090003220   0.082703662
## [4437,] 0.081749650   0.090222176
## [4438,] 1.260831133   1.277356076
## [4439,] 0.334859141   0.329231801
## [4440,] 0.016664352   0.008863933
## [4441,] 0.003144217   0.011079916
## [4442,] 0.081749650   0.090222176
## [4443,] 0.468488376   0.463773643
## [4444,] 0.547093808   0.542915903
## [4445,] 0.468488376   0.463773643
## [4446,] 0.867803972   0.881644776
## [4447,] 0.547093808   0.542915903
## [4448,] 0.553382243   0.308765613
## [4449,] 0.232672079   0.226346863
## [4450,] 0.232672079   0.226346863
## [4451,] 0.232672079   0.226346863
## [4452,] 0.631987675   0.644217996
## [4453,] 0.081749650   0.090222176
## [4454,] 0.004873537   0.012821046
## [4455,] 0.003144217   0.011079916
## [4456,] 0.396171378   0.406791216
## [4457,] 0.081749650   0.457220664
## [4458,] 0.814352278   0.180507667
## [4459,] 0.232672079   0.226346863
## [4460,] 0.820640713   0.791660026
## [4461,] 0.867803972   0.841551307
## [4462,] 0.474776811   0.485933476
## [4463,] 0.238960514   0.578799004
## [4464,] 0.631987675   0.644217996
## [4465,] 0.631987675   0.592094904
## [4466,] 0.059740129   0.052233892
## [4467,] 0.270402687   0.603111506
## [4468,] 1.339436565   1.356498336
## [4469,] 0.286123773   0.045285201
## [4470,] 0.608406046   0.864534219
## [4471,] 0.427613551   0.438448120
## [4472,] 0.468488376   0.463773643
## [4473,] 0.154066647   0.147204604
## [4474,] 0.248393166   0.345630078
## [4475,] 1.025014836   1.039929296
## [4476,] 1.182225701   1.174154569
## [4477,] 0.757756367   0.725133043
## [4478,] 0.899246145   0.806586257
## [4479,] 0.317565946   0.259491642
## [4480,] 0.232672079   0.356599195
## [4481,] 0.081749650   0.090222176
## [4482,] 0.081749650   0.457220664
## [4483,] 0.704304673   1.141088932
## [4484,] 0.474776811   0.485933476
## [4485,] 1.339436565   1.356498336
## [4486,] 1.197946787   1.190790272
## [4487,] 0.553397964   0.565091565
## [4488,] 0.823784930   0.794984001
## [4489,] 0.726314194   0.691877465
## [4490,] 0.232672079   0.226346863
## [4491,] 0.468488376   0.463773643
## [4492,] 0.468488376   0.463773643
## [4493,] 0.396171378   0.406791216
## [4494,] 0.154066647   0.232709901
## [4495,] 0.679150935   0.641986184
## [4496,] 0.899246145   0.913301680
## [4497,] 1.339436565   1.356498336
## [4498,] 0.238960514   0.248506696
## [4499,] 0.081749650   0.090222176
## [4500,] 0.081749650   0.090222176
## [4501,] 0.081749650   0.090222176
## [4502,] 1.276552220   1.293184528
## [4503,] 1.050168575   1.065254819
## [4504,] 0.081749650   0.090222176
## [4505,] 0.356868662   0.367220086
## [4506,] 0.993572664   0.887248048
## [4507,] 0.232672079   0.226346863
## [4508,] 0.396171378   0.342638500
## [4509,] 1.339436565   1.356498336
## [4510,] 0.311277512   0.305489123
## [4511,] 0.232672079   0.226346863
## [4512,] 0.396171378   0.068647996
## [4513,] 1.339436565   1.340464114
## [4514,] 0.867803972   0.881644776
## [4515,] 0.710593107   0.723360256
## [4516,] 0.081749650   0.090222176
## [4517,] 0.081749650   0.090222176
## [4518,] 0.553382243   0.363357944
## [4519,] 0.836377520   0.734392687
## [4520,] 0.820640713   0.681430687
## [4521,] 0.710593107   0.366776890
## [4522,] 0.789198540   0.802502516
## [4523,] 0.396171378   0.406791216
## [4524,] 0.553382243   0.565075736
## [4525,] 0.075461215   0.385042923
## [4526,] 0.804919626   0.662721456
## [4527,] 0.710593107   0.589958063
## [4528,] 0.317565946   0.327648956
## [4529,] 0.311277512   0.305489123
## [4530,] 0.232672079   0.226346863
## [4531,] 1.009293750   0.932944789
## [4532,] 0.631987675   0.499704229
## [4533,] 0.853654994   0.340644115
## [4534,] 0.160355082   0.473682254
## [4535,] 0.034586390   0.042736820
## [4536,] 0.238960514   0.248506696
## [4537,] 0.238960514   0.248506696
## [4538,] 0.710593107   0.723360256
## [4539,] 0.867803972   0.881644776
## [4540,] 0.584824416   0.814563796
## [4541,] 1.025014836   0.924666508
## [4542,] 0.075461215   1.222336377
## [4543,] 0.075461215   0.068062344
## [4544,] 0.710593107   0.366776890
## [4545,] 0.867803972   0.737574206
## [4546,] 0.396171378   0.406791216
## [4547,] 0.515651636   0.511258999
## [4548,] 0.547093808   0.542915903
## [4549,] 0.600545502   0.419501463
## [4550,] 0.396171378   0.406791216
## [4551,] 0.934461378   0.948757412
## [4552,] 0.081749650   0.090222176
## [4553,] 0.946409404   0.831120357
## [4554,] 0.553382243   0.409434568
## [4555,] 0.631987675   0.456919924
## [4556,] 0.962130491   0.878795655
## [4557,] 0.474776811   0.269811793
## [4558,] 0.474776811   0.040204268
## [4559,] 0.356868662   0.123082043
## [4560,] 0.396171378   0.176265641
## [4561,] 0.154066647   0.147204604
## [4562,] 1.065009280   0.857601357
## [4563,] 0.012576869   0.004748536
## [4564,] 0.270402687   0.113521658
## [4565,] 1.433763084   1.420350311
## [4566,] 0.380450292   0.157556411
## [4567,] 0.553382243   0.565075736
## [4568,] 0.710593107   0.454941367
## [4569,] 0.232672079   0.259681583
## [4570,] 0.003144217   0.011079916
## [4571,] 0.191797255   0.201021340
## [4572,] 0.845794451   0.711378118
## [4573,] 0.238960514   0.248506696
## [4574,] 0.687011478   0.562875581
## [4575,] 0.553382243   0.149072361
## [4576,] 1.166504614   1.093065409
## [4577,] 0.828501256   0.530063200
## [4578,] 0.223239428   0.232678244
## [4579,] 0.311277512   0.094923227
## [4580,] 0.396171378   0.406791216
## [4581,] 0.389882944   0.031799360
## [4582,] 0.993572664   1.008272392
## [4583,] 0.154066647   0.147204604
## [4584,] 0.396171378   0.663053854
## [4585,] 0.075461215   0.068062344
## [4586,] 0.317565946   0.052613774
## [4587,] 0.075461215   0.068062344
## [4588,] 0.553382243   0.409434568
## [4589,] 0.514079527   0.525504606
## [4590,] 0.726314194   0.569175305
## [4591,] 0.081749650   0.090222176
## [4592,] 0.106903388   0.099719248
## [4593,] 1.175937266   1.353791670
## [4594,] 0.789198540   0.802502516
## [4595,] 0.742035280   0.755017160
## [4596,] 0.081749650   0.090222176
## [4597,] 0.620668493   0.443449911
## [4598,] 0.317565946   0.327648956
## [4599,] 0.631987675   0.456919924
## [4600,] 0.003144217   0.011079916
## [4601,] 0.521940070   0.533418832
## [4602,] 0.789198540   0.644012226
## [4603,] 2.276413318   1.229617464
## [4604,] 0.103366143   0.096157846
## [4605,] 0.189439092   0.198647072
## [4606,] 1.314282827   1.268935339
## [4607,] 0.804919626   0.662721456
## [4608,] 0.232672079   0.572135226
## [4609,] 0.238960514   0.536806121
## [4610,] 0.468488376   0.463773643
## [4611,] 1.323715479   1.280157712
## [4612,] 0.240532623   0.151747369
## [4613,] 0.468488376   0.463773643
## [4614,] 1.310446882   1.327310670
## [4615,] 0.311277512   0.305489123
## [4616,] 0.946409404   0.860735391
## [4617,] 0.726314194   0.569175305
## [4618,] 0.867803972   0.881644776
## [4619,] 1.103620269   1.041258886
## [4620,] 0.286123773   0.295992052
## [4621,] 1.307994392   1.261448481
## [4622,] 0.447107699   0.236888612
## [4623,] 0.380450292   0.390962764
## [4624,] 0.238960514   0.248506696
## [4625,] 0.836361799   0.700139917
## [4626,] 1.150783528   1.074356179
## [4627,] 0.317565946   0.327648956
## [4628,] 1.010865859   0.782621980
## [4629,] 0.317565946   0.177500261
## [4630,] 1.175937266   0.935508998
## [4631,] 0.081749650   0.132120089
## [4632,] 0.474776811   0.269811793
## [4633,] 0.773477453   0.786674064
## [4634,] 1.175937266   1.220231192
## [4635,] 0.474776811   0.269811793
## [4636,] 0.993572664   0.914900354
## [4637,] 0.113191822   0.121879080
## [4638,] 0.899246145   0.628041318
## [4639,] 0.899246145   0.774992666
## [4640,] 1.323715479   1.280157712
## [4641,] 0.232672079   0.226346863
## [4642,] 1.339436565   1.356498336
## [4643,] 3.062467640   0.946604743
## [4644,] 0.867803972   0.881644776
## [4645,] 1.119341355   1.036937718
## [4646,] 1.072178096   1.005154187
## [4647,] 0.789198540   0.680211896
## [4648,] 0.447107699   0.236888612
## [4649,] 1.355157652   1.330080649
## [4650,] 0.075461215   0.068062344
## [4651,] 0.547093808   0.542915903
## [4652,] 0.232672079   0.226346863
## [4653,] 0.075461215   0.284310655
## [4654,] 0.946409404   0.693349511
## [4655,] 0.631987675   0.456919924
## [4656,] 0.490497897   0.501761928
## [4657,] 1.370878738   1.388155240
## [4658,] 0.710593107   0.723360256
## [4659,] 0.389882944   0.384631383
## [4660,] 0.050307477   1.373798834
## [4661,] 0.867803972   0.737574206
## [4662,] 1.119341355   1.059303321
## [4663,] 1.031303271   0.932153366
## [4664,] 0.396171378   0.228926901
## [4665,] 0.789198540   0.680211896
## [4666,] 0.154066647   0.147204604
## [4667,] 0.474776811   0.485933476
## [4668,] 0.679150935   0.691703352
## [4669,] 0.506218984   0.517590380
## [4670,] 1.050168575   0.954598111
## [4671,] 0.201229907   0.194689959
## [4672,] 0.521154016   0.516798958
## [4673,] 0.402459813   0.397294145
## [4674,] 1.025014836   0.951005053
## [4675,] 0.861515537   0.211452290
## [4676,] 1.276552220   1.224030021
## [4677,] 0.003144217   0.011079916
## [4678,] 0.081749650   0.090222176
matabsdev.all <- rbind(matabsdevsurv,matabsdevnosurv)
matabsdev.all <- data.frame(Salary_Level, matabsdev.all)

t.test(matabsdev.all$salary[Salary_Level == "High"],matabsdev.all$salary[Salary_Level == "Low"], alternative="less",var.equal = TRUE)
## 
##  Two Sample t-test
## 
## data:  matabsdev.all$salary[Salary_Level == "High"] and matabsdev.all$salary[Salary_Level == "Low"]
## t = -0.95757, df = 9353, p-value = 0.1692
## alternative hypothesis: true difference in means is less than 0
## 95 percent confidence interval:
##         -Inf 0.006122533
## sample estimates:
## mean of x mean of y 
## 0.4790573 0.4875857
t.test(matabsdev.all$salary_in_usd[Salary_Level == "High"],matabsdev.all$salary_in_usd[Salary_Level == "Low"], alternative="less",var.equal = TRUE)
## 
##  Two Sample t-test
## 
## data:  matabsdev.all$salary_in_usd[Salary_Level == "High"] and matabsdev.all$salary_in_usd[Salary_Level == "Low"]
## t = -0.85849, df = 9353, p-value = 0.1953
## alternative hypothesis: true difference in means is less than 0
## 95 percent confidence interval:
##         -Inf 0.007007782
## sample estimates:
## mean of x mean of y 
## 0.4747925 0.4824415
matstand
##               salary salary_in_usd
##    [1,] -0.973575147 -0.8751154692
##    [2,]  0.567091324  0.5650837205
##    [3,] -1.071045883 -1.0842409769
##    [4,]  0.975839572  0.9766234723
##    [5,] -0.890253389 -0.9022137790
##    [6,] -0.313289517 -0.3213095910
##    [7,] -0.784922110 -0.7961631507
##    [8,]  1.170781044  1.1728962770
##    [9,] -0.176516065 -0.1836020587
##   [10,]  0.944397399  0.9449665683
##   [11,]  0.284111768  0.2801715847
##   [12,]  1.170781044  1.1728962770
##   [13,] -0.176516065 -0.1836020587
##   [14,] -1.806792729 -1.6973718933
##   [15,] -1.885398161 -1.7947485299
##   [16,] -0.863527542 -0.8753054107
##   [17,] -1.177949271 -1.1918744505
##   [18,]  2.359295180  2.3695272475
##   [19,]  1.321703474  1.3248494161
##   [20,] -0.156078652 -0.1630250711
##   [21,] -0.470500381 -0.4795941109
##   [22,]  0.857931424  0.8579100823
##   [23,] -0.121492262 -0.1282024767
##   [24,]  0.079737645  0.0744017088
##   [25,] -0.627711246 -0.6378786308
##   [26,]  1.832638784  1.8392741058
##   [27,]  0.032574385  0.0269163528
##   [28,]  1.136194654  1.1380736826
##   [29,] -0.218962998 -0.2263388790
##   [30,]  1.941114280  1.9484904245
##   [31,]  0.507351196  0.5049356030
##   [32,]  0.276251225  0.2722573587
##   [33,] -0.682735048 -0.6932782128
##   [34,]  0.565519216  0.5635008753
##   [35,] -0.324294277 -0.3323895074
##   [36,]  0.551370238  0.5492552685
##   [37,] -1.105632274 -1.1190635713
##   [38,] -0.439058208 -0.4479372069
##   [39,] -0.871388086 -0.8832196366
##   [40,]  1.530793924  1.5353678276
##   [41,] -0.160794978 -0.1677736067
##   [42,]  0.409880460  0.4067992006
##   [43,] -0.784922110 -0.7961631507
##   [44,]  0.857931424  0.8579100823
##   [45,] -0.121492262 -0.1282024767
##   [46,]  1.535510250  1.5401163632
##   [47,] -0.355736450 -0.3640464113
##   [48,]  1.155059958  1.1570678250
##   [49,]  0.570235542  0.5682494109
##   [50,]  0.276251225  0.2722573587
##   [51,] -0.682735048 -0.6932782128
##   [52,]  0.565519216  0.5635008753
##   [53,] -0.324294277 -0.3323895074
##   [54,] -1.225112531 -1.2393598064
##   [55,] -1.350881222 -1.3659874224
##   [56,]  0.469935010  0.4672638872
##   [57,] -0.095395258 -0.1019272464
##   [58,]  2.092822764  2.1012349862
##   [59,]  0.609538258  0.6078205409
##   [60,] -0.266126257 -0.2738242350
##   [61,] -1.438919306 -1.4546267535
##   [62,] -0.135672682 -0.1424797404
##   [63,] -0.539563114 -0.5491285005
##   [64,] -0.784922110 -0.7961631507
##   [65,] -1.177949271 -1.1918744505
##   [66,]  1.832638784  1.8392741058
##   [67,] -0.086905872 -0.0933798823
##   [68,] -1.445207741 -1.2494425304
##   [69,] -1.649581865 -1.5026186200
##   [70,]  2.162781599  2.1716715976
##   [71,]  0.095458731  0.0902301608
##   [72,] -0.942132975 -0.9544476706
##   [73,] -1.256554704 -1.2710167104
##   [74,]  0.771465448  0.7708535964
##   [75,]  0.189785250  0.1852008727
##   [76,]  0.329451382  0.3258208402
##   [77,] -0.566037423 -0.5757836136
##   [78,]  0.535649152  0.5334268165
##   [79,] -0.423337122 -0.4321087549
##   [80,]  1.349215375  1.3525492071
##   [81,]  0.382368559  0.3790994096
##   [82,]  0.236948509  0.2326862287
##   [83,] -0.489365685 -0.4985882533
##   [84,]  1.180213696  1.1823933482
##   [85,]  0.001132212 -0.0047405512
##   [86,]  1.005709636  1.0066975311
##   [87,] -0.520807858 -0.5302451573
##   [88,]  1.101608264  1.1032510882
##   [89,]  0.001132212 -0.0047405512
##   [90,]  0.001132212 -0.0047405512
##   [91,] -0.784922110 -0.7961631507
##   [92,]  1.533938141  1.5385335180
##   [93,]  0.350140331  0.3466510830
##   [94,]  0.079737645  0.0744017088
##   [95,] -0.470500381 -0.4795941109
##   [96,]  1.206939543  1.2093017165
##   [97,] -0.261409931 -0.2690756994
##   [98,]  0.535649152  0.5334268165
##   [99,] -0.423337122 -0.4321087549
##  [100,] -0.313289517 -0.3213095910
##  [101,] -0.517663640 -0.5270794669
##  [102,]  0.158343077  0.1535439688
##  [103,] -0.156078652 -0.1630250711
##  [104,]  0.252669595  0.2485146807
##  [105,] -1.209391444 -1.2235313545
##  [106,]  0.565519216  0.5635008753
##  [107,] -0.324294277 -0.3323895074
##  [108,] -0.313289517 -0.3213095910
##  [109,] -0.722037764 -0.7328493427
##  [110,] -0.108915393 -0.1155397151
##  [111,] -0.533384727 -0.5429079188
##  [112,]  0.236948509  0.2326862287
##  [113,] -0.489365685 -0.4985882533
##  [114,]  1.101608264  1.1032510882
##  [115,]  0.472764806  0.4701130086
##  [116,]  0.535649152  0.5334268165
##  [117,] -0.423337122 -0.4321087549
##  [118,]  1.023002831  1.0241088283
##  [119,]  0.787186535  0.7866820484
##  [120,]  1.620404116  1.6255900039
##  [121,] -0.297568430 -0.3054811390
##  [122,]  1.101608264  1.1032510882
##  [123,]  0.409880460  0.4067992006
##  [124,] -1.728187297 -1.5999952566
##  [125,] -1.885398161 -1.7947485299
##  [126,]  0.944397399  0.9449665683
##  [127,] -0.046031047 -0.0522259071
##  [128,]  0.567091324  0.5650837205
##  [129,]  0.174064163  0.1693724207
##  [130,]  0.865791967  0.8658243083
##  [131,]  0.032574385  0.0269163528
##  [132,]  1.101608264  1.1032510882
##  [133,]  0.629975670  0.6283975285
##  [134,]  0.865791967  0.8658243083
##  [135,]  0.032574385  0.0269163528
##  [136,] -0.203241912 -0.2105104270
##  [137,] -0.627711246 -0.6378786308
##  [138,]  0.346996114  0.3434853926
##  [139,] -0.061752133 -0.0680543591
##  [140,] -0.030309961 -0.0363974551
##  [141,] -0.800643197 -0.8119916027
##  [142,]  0.001132212 -0.0047405512
##  [143,] -0.313289517 -0.3213095910
##  [144,] -0.706316678 -0.7170208907
##  [145,] -0.800643197 -0.8119916027
##  [146,] -1.531673716 -1.5480146203
##  [147,]  0.480845444  0.4782488329
##  [148,] -0.654311324 -0.6646603716
##  [149,]  0.944397399  0.9449665683
##  [150,] -0.046031047 -0.0522259071
##  [151,]  2.206800641  2.2159912632
##  [152,]  0.735071133  0.7342107300
##  [153,]  1.101608264  1.1032510882
##  [154,]  0.409880460  0.4067992006
##  [155,]  0.394159374  0.3909707486
##  [156,] -0.313289517 -0.3213095910
##  [157,]  0.551370238  0.5492552685
##  [158,]  0.001132212 -0.0047405512
##  [159,] -0.077473220 -0.0838828111
##  [160,] -0.549105813 -0.5587363708
##  [161,] -0.266126257 -0.2738242350
##  [162,] -1.440491415 -1.4562095987
##  [163,] -0.549105813 -0.5587363708
##  [164,] -0.863527542 -0.8753054107
##  [165,] -0.948421409 -0.6340164885
##  [166,] -1.853955989 -1.7558105380
##  [167,] -1.728187297 -1.6954249937
##  [168,] -1.901119248 -1.8834195180
##  [169,] -1.177949271 -0.9183588001
##  [170,] -1.492371000 -1.3078653467
##  [171,] -1.177949271 -0.9183588001
##  [172,] -1.492371000 -1.3078653467
##  [173,] -1.256554704 -1.1827414337
##  [174,]  4.080754146  2.4231382144
##  [175,] -0.234684084 -0.7958940670
##  [176,]  1.263535454  1.2662841437
##  [177,] -0.156078652 -0.1630250711
##  [178,] -0.392916820 -0.4014807003
##  [179,] -1.161442131 -1.1752545759
##  [180,]  1.177069479  1.1792276578
##  [181,] -0.295996322 -0.3038982938
##  [182,]  1.699009549  1.7047322639
##  [183,]  0.331275028  0.3276569407
##  [184,]  0.724302189  0.7233682404
##  [185,] -0.454779295 -0.4637656589
##  [186,]  0.721157972  0.7202025500
##  [187,]  0.339135571  0.3355711667
##  [188,]  0.252669595  0.2485146807
##  [189,] -1.207819336 -1.2219485093
##  [190,]  1.101608264  1.1032510882
##  [191,]  0.158343077  0.1535439688
##  [192,] -1.020738407 -1.0335899306
##  [193,] -1.335160136 -1.3501589704
##  [194,]  1.101608264  1.1032510882
##  [195,] -0.784922110 -0.7961631507
##  [196,]  0.551370238  0.5492552685
##  [197,]  0.032574385  0.0269163528
##  [198,]  1.101608264  1.1032510882
##  [199,] -0.784922110 -0.7961631507
##  [200,] -1.649581865 -1.6099830098
##  [201,] -1.791071643 -1.7637880778
##  [202,]  1.101608264  1.1032510882
##  [203,] -0.784922110 -0.7961631507
##  [204,]  1.101608264  1.1032510882
##  [205,] -0.784922110 -0.7961631507
##  [206,]  1.101608264  1.1032510882
##  [207,] -0.784922110 -0.7961631507
##  [208,] -0.627711246 -0.6378786308
##  [209,] -1.099343839 -1.1127321905
##  [210,] -1.885398161 -1.7947485299
##  [211,]  0.004276430 -0.0015748608
##  [212,] -1.240833617 -1.2551882584
##  [213,]  0.271534899  0.2675088231
##  [214,] -0.454779295 -0.4637656589
##  [215,] -0.266126257 -0.2738242350
##  [216,] -1.438919306 -1.4546267535
##  [217,] -0.234684084 -0.2421673310
##  [218,] -0.627711246 -0.6378786308
##  [219,] -1.020738407 -0.7236055268
##  [220,] -1.413765568 -1.2104887100
##  [221,]  0.589336662  0.5874809801
##  [222,] -0.563569213 -0.5732985467
##  [223,]  0.589336662  0.5874809801
##  [224,] -0.563569213 -0.5732985467
##  [225,]  0.252669595  0.2485146807
##  [226,] -1.207819336 -1.2219485093
##  [227,]  2.459910133  2.4708293402
##  [228,]  0.295116529  0.2912515011
##  [229,]  0.589336662  0.5874809801
##  [230,] -0.563569213 -0.5732985467
##  [231,] -1.935705638 -1.8570809738
##  [232,] -1.935705638 -1.8570809738
##  [233,]  0.236948509  0.2326862287
##  [234,] -0.156078652 -0.1630250711
##  [235,]  0.001132212 -0.0047405512
##  [236,]  0.268390682  0.2643431327
##  [237,] -0.454779295 -0.4637656589
##  [238,]  0.551370238  0.5492552685
##  [239,] -1.105632274 -1.1190635713
##  [240,]  0.633119888  0.6315632189
##  [241,] -0.861955434 -0.8737225655
##  [242,] -0.266126257 -0.2738242350
##  [243,] -1.438919306 -1.4546267535
##  [244,] -0.942132975 -0.9544476706
##  [245,] -1.256554704 -1.2710167104
##  [246,]  0.252669595  0.2485146807
##  [247,] -1.207819336 -1.2219485093
##  [248,] -0.234684084 -0.2421673310
##  [249,] -0.784922110 -0.7961631507
##  [250,]  0.480845444  0.4782488329
##  [251,] -0.654311324 -0.6646603716
##  [252,]  2.264968661  2.2745565355
##  [253,]  0.661417843  0.6600544325
##  [254,]  1.824778240  1.8313598798
##  [255,]  0.268390682  0.2643431327
##  [256,]  0.787186535  0.7866820484
##  [257,]  0.001132212 -0.0047405512
##  [258,]  0.218083205  0.2136920863
##  [259,] -0.970430930 -0.9829388842
##  [260,]  0.479053240  0.4764443894
##  [261,] -0.174943956 -0.1820192135
##  [262,] -1.492371000 -1.3078653467
##  [263,] -1.649581865 -1.5026186200
##  [264,]  2.657995822  2.6702678353
##  [265,]  0.881513053  0.8816527603
##  [266,]  1.023002831  1.0241088283
##  [267,] -0.124636479 -0.1313681671
##  [268,]  1.824778240  1.8313598798
##  [269,]  0.268390682  0.2643431327
##  [270,] -0.154034911 -0.1609673723
##  [271,] -1.022782148 -1.0356476293
##  [272,]  0.446038959  0.4432046402
##  [273,] -0.700028243 -0.7106895099
##  [274,]  1.136194654  1.1380736826
##  [275,] -0.218962998 -0.2263388790
##  [276,]  1.023002831  1.0241088283
##  [277,] -0.124636479 -0.1313681671
##  [278,]  1.416029993  1.4198201280
##  [279,]  0.944397399  0.9449665683
##  [280,] -0.439058208 -0.4479372069
##  [281,] -0.871388086 -0.8832196366
##  [282,]  0.001132212 -0.0047405512
##  [283,] -0.533384727 -0.5429079188
##  [284,] -0.942132975 -0.9544476706
##  [285,] -0.077473220 -0.0838828111
##  [286,] -0.344731690 -0.3529664950
##  [287,]  0.064016558  0.0585732568
##  [288,] -0.376173862 -0.3846233989
##  [289,]  1.416029993  1.4198201280
##  [290,]  0.115110089  0.1100157258
##  [291,]  1.096105883  1.0977111300
##  [292,] -0.218962998 -0.2263388790
##  [293,]  0.001132212 -0.0047405512
##  [294,]  0.472764806  0.4701130086
##  [295,] -0.391894949 -0.4004518509
##  [296,]  1.535510250  1.5401163632
##  [297,] -0.355736450 -0.3640464113
##  [298,] -1.413765568 -1.4293012303
##  [299,] -1.492371000 -1.5084434903
##  [300,]  1.573240857  1.5781046479
##  [301,] -0.391894949 -0.4004518509
##  [302,]  0.629975670  0.6283975285
##  [303,]  0.315553941  0.3118284887
##  [304,]  0.828061359  0.8278360236
##  [305,]  0.296688638  0.2928343463
##  [306,] -0.281847344 -0.2896526870
##  [307,] -0.611990159 -0.6220501788
##  [308,]  0.834349794  0.8341674044
##  [309,] -0.360452776 -0.3687949469
##  [310,] -0.391753459 -0.4003093949
##  [311,] -1.046851131 -1.0598809893
##  [312,] -0.593124855 -0.6030560364
##  [313,] -0.913835019 -0.9259564570
##  [314,]  0.787186535  0.7866820484
##  [315,]  0.158343077  0.1535439688
##  [316,]  0.001132212  0.1844411070
##  [317,]  0.551370238  0.5492552685
##  [318,]  0.001132212 -0.0047405512
##  [319,]  0.158343077  0.1535439688
##  [320,] -0.313289517 -0.3213095910
##  [321,] -0.077473220 -0.0838828111
##  [322,] -0.549105813 -0.5587363708
##  [323,] -0.266126257 -0.2738242350
##  [324,] -1.440491415 -1.4562095987
##  [325,]  1.636125203  1.6414184559
##  [326,]  0.142621990  0.1377155168
##  [327,]  0.315553941  0.3118284887
##  [328,] -1.020738407 -1.0335899306
##  [329,] -0.305428973 -0.3133953650
##  [330,] -0.533384727 -0.5429079188
##  [331,] -1.077334318 -1.0905723577
##  [332,] -1.673163494 -1.6904706882
##  [333,]  0.299832855  0.2960000367
##  [334,] -0.910690802 -0.9227907666
##  [335,]  0.252669595  0.2485146807
##  [336,] -1.207819336 -1.2219485093
##  [337,]  0.629975670  0.6283975285
##  [338,]  0.236948509  0.2326862287
##  [339,]  2.447333264  2.4581665786
##  [340,] -0.052319482 -0.0585572879
##  [341,]  0.001132212 -0.0047405512
##  [342,] -0.470500381 -0.4795941109
##  [343,]  1.966268018  1.9738159477
##  [344,] -0.055463699 -0.0617229783
##  [345,]  0.920815770  0.9212238903
##  [346,]  0.236948509  0.2326862287
##  [347,]  1.710014309  1.7158121803
##  [348,]  0.354856657  0.3513996186
##  [349,]  0.001132212 -0.0047405512
##  [350,] -0.313289517 -0.3213095910
##  [351,]  0.551370238  0.5492552685
##  [352,]  0.001132212 -0.0047405512
##  [353,]  0.252669595  0.2485146807
##  [354,] -1.207819336 -1.2219485093
##  [355,]  0.758888579  0.7581908348
##  [356,] -0.624567028 -0.6347129404
##  [357,]  0.252669595  0.2485146807
##  [358,] -1.207819336 -1.2219485093
##  [359,]  0.975839572  0.9766234723
##  [360,] -0.890253389 -0.9022137790
##  [361,]  0.975839572  0.9766234723
##  [362,] -0.890253389 -0.9022137790
##  [363,]  0.252669595  0.2485146807
##  [364,] -1.207819336 -1.2219485093
##  [365,]  0.269962791  0.2659259779
##  [366,] -0.605701725 -0.6157187980
##  [367,] -0.266126257 -0.2738242350
##  [368,] -1.438919306 -1.4546267535
##  [369,]  0.252669595  0.2485146807
##  [370,] -1.207819336 -1.2219485093
##  [371,]  0.315553941  0.3118284887
##  [372,] -0.077473220 -0.0838828111
##  [373,]  0.975839572  0.9766234723
##  [374,] -0.890253389 -0.9022137790
##  [375,]  0.315553941  0.3118284887
##  [376,] -0.234684084 -0.2421673310
##  [377,] -0.077473220 -0.0838828111
##  [378,] -0.549105813 -0.5587363708
##  [379,] -0.159065659 -0.1660324769
##  [380,] -0.858418189 -0.8701611638
##  [381,]  2.024436038  2.0323812201
##  [382,]  0.147338316  0.1424640524
##  [383,]  1.206939543  1.2093017165
##  [384,]  0.018425407  0.0126707460
##  [385,]  1.530793924  1.5353678276
##  [386,] -0.160794978 -0.1677736067
##  [387,]  0.598533497  0.5967406245
##  [388,] -0.171799739 -0.1788535231
##  [389,]  0.001132212 -0.0047405512
##  [390,]  0.158343077  0.1535439688
##  [391,] -0.879248629 -0.8911338626
##  [392,] -0.360452776 -0.3687949469
##  [393,] -1.335160136 -1.3501589704
##  [394,]  1.981989105  1.9896443997
##  [395,]  0.378438287  0.3751422966
##  [396,]  1.730451722  1.7363891678
##  [397,] -0.218962998 -0.2263388790
##  [398,]  1.573240857  1.5781046479
##  [399,]  0.944397399  0.9449665683
##  [400,]  0.598533497  0.5967406245
##  [401,] -0.171799739 -0.1788535231
##  [402,]  1.384587820  1.3881632240
##  [403,]  0.409880460  0.4067992006
##  [404,]  0.857931424  0.8579100823
##  [405,] -0.121492262 -0.1282024767
##  [406,]  0.975839572  0.9766234723
##  [407,]  0.629975670  0.6283975285
##  [408,]  1.754033351  1.7601318458
##  [409,] -0.242544628 -0.2500815570
##  [410,]  1.400308906  1.4039916760
##  [411,] -0.424909230 -0.4336916001
##  [412,] -0.549105813 -0.5587363708
##  [413,] -0.863527542 -0.8753054107
##  [414,]  0.134761447  0.1298012908
##  [415,] -0.549105813 -0.5587363708
##  [416,]  2.856710355  2.8703394685
##  [417,]  1.851818509  1.8585848172
##  [418,]  0.472764806  0.4701130086
##  [419,] -0.942132975 -0.9544476706
##  [420,] -1.052180580 -1.0652468345
##  [421,] -1.319439049 -1.3343305184
##  [422,]  1.168422881  1.1705220092
##  [423,] -0.446132697 -0.4550600103
##  [424,]  0.252669595  0.2485146807
##  [425,] -1.207819336 -1.2219485093
##  [426,] -0.135672682 -0.1424797404
##  [427,] -0.539563114 -0.5491285005
##  [428,] -0.643432332 -0.6537070828
##  [429,] -0.784922110 -0.7961631507
##  [430,]  0.872080402  0.8721556891
##  [431,] -0.896541824 -0.9085451598
##  [432,]  1.101608264  1.1032510882
##  [433,] -0.313289517 -0.3213095910
##  [434,]  0.158343077  0.1535439688
##  [435,] -0.627711246 -0.6378786308
##  [436,]  1.258819128  1.2615356081
##  [437,] -0.784922110 -0.7961631507
##  [438,]  0.567562957  0.5655585741
##  [439,] -0.624567028 -0.6347129404
##  [440,] -0.313289517 -0.3213095910
##  [441,] -0.784922110 -0.7961631507
##  [442,]  1.447472166  1.4514770320
##  [443,] -0.687451374 -0.6980267484
##  [444,]  1.101608264  1.1032510882
##  [445,] -0.470500381 -0.4795941109
##  [446,]  1.699009549  1.7047322639
##  [447,]  0.331275028  0.3276569407
##  [448,] -0.923267671 -0.9354535282
##  [449,] -1.442063524 -1.4577924439
##  [450,]  0.661417843  0.6600544325
##  [451,]  0.441322633  0.4384561046
##  [452,]  0.944397399  0.9449665683
##  [453,] -0.313289517 -0.3213095910
##  [454,]  0.158343077  0.1535439688
##  [455,]  0.001132212 -0.0047405512
##  [456,]  1.730451722  1.7363891678
##  [457,] -0.218962998 -0.2263388790
##  [458,]  0.881513053  0.8816527603
##  [459,] -0.250405171 -0.2579957830
##  [460,]  0.472764806  0.4701130086
##  [461,] -0.234684084 -0.2421673310
##  [462,]  0.787186535  0.7866820484
##  [463,] -0.470500381 -0.4795941109
##  [464,]  0.975839572  0.9766234723
##  [465,] -0.890253389 -0.9022137790
##  [466,] -0.679590831 -0.6901125224
##  [467,] -1.449924067 -1.4657066699
##  [468,]  1.831066675  1.8376912606
##  [469,]  0.367433527  0.3640623802
##  [470,] -0.391894949 -0.4004518509
##  [471,] -0.784922110 -0.7961631507
##  [472,]  0.246381161  0.2421832999
##  [473,] -1.322583267 -1.3374962088
##  [474,]  0.950685834  0.9512979491
##  [475,]  0.323414485  0.3197427147
##  [476,]  0.975839572  0.9766234723
##  [477,] -0.890253389 -0.9022137790
##  [478,]  0.315553941  0.3118284887
##  [479,]  0.158343077  0.1535439688
##  [480,]  0.557658673  0.5555866493
##  [481,] -1.075196250 -1.0884196883
##  [482,]  0.677138930  0.6758828845
##  [483,]  0.126900904  0.1218870648
##  [484,]  0.315553941  0.3118284887
##  [485,] -0.784922110 -0.7961631507
##  [486,]  1.136194654  1.1380736826
##  [487,] -0.218962998 -0.2263388790
##  [488,] -0.030309961 -0.0363974551
##  [489,] -0.800643197 -0.8119916027
##  [490,]  0.857931424  0.8579100823
##  [491,] -0.121492262 -0.1282024767
##  [492,] -0.863527542 -0.8753054107
##  [493,] -1.177949271 -1.1918744505
##  [494,] -0.549105813 -0.5587363708
##  [495,] -0.706316678 -0.7170208907
##  [496,]  0.721157972  0.7202025500
##  [497,]  0.188213141  0.1836180275
##  [498,] -0.942132975 -0.9544476706
##  [499,] -1.099343839 -1.1127321905
##  [500,]  0.669278386  0.6679686585
##  [501,] -0.156078652 -0.1630250711
##  [502,] -0.784922110 -0.7961631507
##  [503,] -1.177949271 -1.1918744505
##  [504,]  0.299832855  0.2960000367
##  [505,] -0.926411888 -0.9386192186
##  [506,]  1.048156570  1.0494343514
##  [507,] -0.086905872 -0.0933798823
##  [508,]  0.001132212 -0.0047405512
##  [509,] -0.470500381 -0.4795941109
##  [510,] -0.266126257 -0.2738242350
##  [511,] -1.438919306 -1.4546267535
##  [512,]  0.252669595  0.2485146807
##  [513,] -1.207819336 -1.2219485093
##  [514,]  0.252669595  0.2485146807
##  [515,] -1.207819336 -1.2219485093
##  [516,]  2.929970618  2.9441000548
##  [517,]  0.457043719  0.4542845566
##  [518,]  2.302699268  2.3125448203
##  [519,]  0.152054642  0.1472125880
##  [520,]  0.975839572  0.9766234723
##  [521,] -0.890253389 -0.9022137790
##  [522,]  0.857931424  0.8579100823
##  [523,] -0.121492262 -0.1282024767
##  [524,]  1.706870092  1.7126464899
##  [525,]  1.203795326  1.2061360261
##  [526,]  1.530007869  1.5345764050
##  [527,] -0.495654119 -0.5049196341
##  [528,]  0.158343077  0.1535439688
##  [529,] -0.156078652 -0.1630250711
##  [530,]  0.975839572  0.9766234723
##  [531,] -0.888681281 -0.9006309338
##  [532,] -0.156078652  0.3475374764
##  [533,] -0.784922110 -0.4314756168
##  [534,]  1.085887177  1.0874226362
##  [535,] -0.281847344 -0.2896526870
##  [536,] -0.305428973 -0.3133953650
##  [537,] -0.533384727 -0.5429079188
##  [538,]  2.725596494  2.7383301789
##  [539,]  0.546653912  0.5445067329
##  [540,]  1.573240857  1.5781046479
##  [541,]  0.787186535  0.7866820484
##  [542,] -0.218962998 -0.2263388790
##  [543,] -0.926411888 -0.9386192186
##  [544,]  0.565519216  0.5635008753
##  [545,] -0.324294277 -0.3323895074
##  [546,] -0.108915393 -0.1155397151
##  [547,] -1.130786012 -1.1443890945
##  [548,] -0.234684084 -0.2421673310
##  [549,] -0.627711246 -0.6378786308
##  [550,] -0.124636479 -0.1313681671
##  [551,] -0.750335720 -0.7613405563
##  [552,] -0.195381368 -0.2025962010
##  [553,] -1.075762209 -1.0889895125
##  [554,]  0.818628708  0.8183389524
##  [555,] -0.046031047 -0.0522259071
##  [556,] -0.156078652 -0.1630250711
##  [557,] -0.391894949 -0.4004518509
##  [558,]  0.325379620  0.3217212712
##  [559,] -0.345517744 -0.3537579176
##  [560,] -0.784922110 -0.4314756168
##  [561,] -1.256554704 -1.0157354367
##  [562,] -1.016713809 -1.0295378469
##  [563,] -1.231165149 -1.2454537605
##  [564,] -0.784922110 -0.7961631507
##  [565,] -0.784922110 -0.7961631507
##  [566,]  0.551370238  0.5492552685
##  [567,] -0.391894949 -0.4004518509
##  [568,] -1.413765568 -1.4293012303
##  [569,] -1.539534260 -1.5559288463
##  [570,]  2.359295180  2.3695272475
##  [571,]  1.730451722  1.7363891678
##  [572,]  1.180213696  1.1823933482
##  [573,]  0.315553941  0.3118284887
##  [574,] -0.784922110 -0.7961631507
##  [575,] -1.099343839 -1.1127321905
##  [576,]  0.857931424  0.8579100823
##  [577,] -0.121492262 -0.1282024767
##  [578,] -0.234684084 -0.2421673310
##  [579,] -0.784922110 -0.7961631507
##  [580,]  2.316848246  2.3267904271
##  [581,]  0.758888579  0.7581908348
##  [582,]  1.416029993  1.4198201280
##  [583,]  0.629975670  0.6283975285
##  [584,]  0.551370238  0.5492552685
##  [585,] -1.105632274 -1.1190635713
##  [586,]  1.136194654  1.1380736826
##  [587,] -0.218962998 -0.2263388790
##  [588,] -0.627711246 -0.6378786308
##  [589,] -0.863527542 -0.8753054107
##  [590,]  2.736601254  2.7494100953
##  [591,]  0.142621990  0.1377155168
##  [592,]  0.908238900  0.9085611287
##  [593,] -0.255121497 -0.2627443186
##  [594,] -1.240833617 -1.2551882584
##  [595,] -1.460928827 -1.4767865863
##  [596,]  1.136194654  1.1380736826
##  [597,] -0.218962998 -0.2263388790
##  [598,]  0.787186535  0.7866820484
##  [599,]  0.001132212 -0.0047405512
##  [600,] -1.429486654 -1.4451296823
##  [601,] -1.570976433 -1.5875857502
##  [602,]  1.321703474  1.3248494161
##  [603,]  0.912955226  0.9133096643
##  [604,]  0.582812411  0.5809121725
##  [605,] -0.344731690 -0.3529664950
##  [606,]  0.818628708  0.8183389524
##  [607,] -0.046031047 -0.0522259071
##  [608,] -1.570976433 -1.5875857502
##  [609,] -1.413765568 -1.3536254014
##  [610,] -1.523813173 -1.4732568415
##  [611,] -2.026887940 -2.0466108580
##  [612,] -0.234684084 -0.2421673310
##  [613,] -0.470500381 -0.4795941109
##  [614,]  0.001132212 -0.0047405512
##  [615,] -0.156078652 -0.1630250711
##  [616,]  0.629975670  0.6283975285
##  [617,]  0.236948509  0.2326862287
##  [618,]  2.044873451  2.0529582077
##  [619,]  0.629975670  0.6283975285
##  [620,]  0.975839572  0.9766234723
##  [621,]  0.629975670  0.6283975285
##  [622,] -1.806792729 -1.6973718933
##  [623,] -1.806792729 -1.6973718933
##  [624,]  1.505640185  1.5100423044
##  [625,] -0.277131018 -0.2849041514
##  [626,] -0.942132975 -0.9544476706
##  [627,] -1.099343839 -1.1127321905
##  [628,]  0.975839572  0.9766234723
##  [629,] -0.890253389 -0.9022137790
##  [630,]  0.975839572  0.9766234723
##  [631,] -0.890253389 -0.9022137790
##  [632,]  1.981989105  1.9896443997
##  [633,]  0.378438287  0.3751422966
##  [634,] -0.266126257 -0.2738242350
##  [635,] -1.440491415 -1.4562095987
##  [636,] -0.067411725 -0.0737526018
##  [637,] -1.030171059 -1.0430870018
##  [638,]  2.359295180  2.3695272475
##  [639,]  0.708581102  0.7075397884
##  [640,]  0.629975670  0.6283975285
##  [641,] -0.667013962 -0.6774497608
##  [642,] -0.706316678 -0.7170208907
##  [643,] -1.177949271 -1.1918744505
##  [644,] -0.156078652 -0.1630250711
##  [645,] -0.816364283 -0.8278200547
##  [646,]  0.857931424  0.8579100823
##  [647,] -0.121492262 -0.1282024767
##  [648,]  1.355661021  1.3590388724
##  [649,]  0.149036194  0.1441735252
##  [650,] -0.549105813 -0.5587363708
##  [651,] -1.020738407 -1.0335899306
##  [652,] -0.077473220 -0.0838828111
##  [653,] -0.470500381 -0.4795941109
##  [654,] -0.464998001 -0.4740541527
##  [655,] -1.187381923 -1.2013715217
##  [656,]  0.134667121  0.1297063201
##  [657,] -0.972757651 -0.9852814951
##  [658,]  0.496346435  0.4938556866
##  [659,] -0.360452776 -0.3687949469
##  [660,]  2.359295180  2.3695272475
##  [661,]  1.730451722  1.7363891678
##  [662,]  1.699009549  1.7047322639
##  [663,]  0.331275028  0.3276569407
##  [664,] -1.964003594 -1.9832970500
##  [665,]  0.787186535  0.7866820484
##  [666,]  0.001132212 -0.0047405512
##  [667,]  1.184930022  1.1871418838
##  [668,]  0.746311710  0.7455280732
##  [669,]  0.873652510  0.8737385343
##  [670,] -0.336871146 -0.3450522690
##  [671,]  0.655129409  0.6537230517
##  [672,] -0.382462297 -0.3909547797
##  [673,]  1.505640185  1.5100423044
##  [674,] -0.277131018 -0.2849041514
##  [675,] -0.306843871 -0.3148199257
##  [676,] -0.910690802 -0.9227907666
##  [677,]  0.534077043  0.5318439713
##  [678,] -0.646576549 -0.6568727732
##  [679,]  1.966268018  1.9738159477
##  [680,] -0.451635077 -0.4605999685
##  [681,]  0.252669595  0.2485146807
##  [682,] -1.207819336 -1.2219485093
##  [683,]  1.278470486  1.2813211731
##  [684,] -0.611990159 -0.6220501788
##  [685,]  2.359295180  2.3695272475
##  [686,] -0.313289517 -0.3213095910
##  [687,]  0.952257942  0.9528807943
##  [688,] -0.701600352 -0.7122723551
##  [689,]  0.133189338  0.1282184456
##  [690,] -1.008161538 -1.0209271690
##  [691,]  2.447333264  2.4581665786
##  [692,] -0.052319482 -0.0585572879
##  [693,]  0.479053240  0.4764443894
##  [694,] -0.174943956 -0.1820192135
##  [695,]  1.710014309  1.7158121803
##  [696,]  0.354856657  0.3513996186
##  [697,]  0.097030840  0.0918130060
##  [698,] -0.778633676 -0.7898317699
##  [699,] -0.247260954 -0.2548300926
##  [700,] -0.734614633 -0.7455121043
##  [701,] -0.706316678 -0.7170208907
##  [702,] -1.020738407 -1.0335899306
##  [703,]  1.101608264  1.1032510882
##  [704,]  0.158343077  0.1535439688
##  [705,] -0.627711246 -0.6378786308
##  [706,] -0.863527542 -0.8753054107
##  [707,] -0.857239108 -0.8689740299
##  [708,] -1.448351958 -1.4641238247
##  [709,] -0.627711246 -0.6378786308
##  [710,] -1.005017320 -1.0177614786
##  [711,] -0.391894949 -0.4004518509
##  [712,] -0.981435691 -0.9940188006
##  [713,]  0.551370238  0.5492552685
##  [714,] -1.105632274 -1.1190635713
##  [715,]  1.966268018  1.9738159477
##  [716,]  0.315553941  0.3118284887
##  [717,] -0.262982040 -0.2706585446
##  [718,] -1.036459493 -1.0494183826
##  [719,]  0.331275028  0.3276569407
##  [720,] -0.894969715 -0.9069623146
##  [721,]  1.045798407  1.0470600836
##  [722,] -0.411546307 -0.4202374159
##  [723,]  0.988416441  0.9892862339
##  [724,] -0.406043927 -0.4146974577
##  [725,]  0.865791967  0.8658243083
##  [726,]  0.252669595  0.2485146807
##  [727,]  1.284758921  1.2876525539
##  [728,]  0.615826692  0.6141519217
##  [729,]  0.158343077  0.1535439688
##  [730,] -0.470500381 -0.4795941109
##  [731,]  0.097030840  0.0918130060
##  [732,] -0.778633676 -0.7898317699
##  [733,]  1.838534191  1.8452097753
##  [734,] -0.340801418 -0.3490093820
##  [735,]  0.136333556  0.1313841360
##  [736,] -0.544389487 -0.5539878352
##  [737,]  1.184930022  1.1871418838
##  [738,]  0.746311710  0.7455280732
##  [739,] -0.629283354 -0.6394614760
##  [740,] -1.394900264 -1.4103070879
##  [741,]  0.174064163  0.1693724207
##  [742,] -1.177949271 -1.1918744505
##  [743,]  0.252669595  0.2485146807
##  [744,] -1.207819336 -1.2219485093
##  [745,] -0.179503071 -0.1866094645
##  [746,] -0.855824210 -0.8675494692
##  [747,]  0.001132212 -0.0047405512
##  [748,] -0.627711246 -0.6378786308
##  [749,]  1.293405518  1.2963582025
##  [750,] -0.261409931 -0.2690756994
##  [751,] -0.583692204 -0.4512928387
##  [752,] -1.206247227 -1.1280541320
##  [753,]  0.445252904  0.4424132176
##  [754,] -0.619850702 -0.6299644048
##  [755,]  0.629975670  0.6283975285
##  [756,]  0.158343077  0.1535439688
##  [757,]  1.038723918  1.0399372802
##  [758,]  0.535649152  0.5334268165
##  [759,]  0.252669595  0.2485146807
##  [760,] -0.722037764 -0.7328493427
##  [761,]  0.551370238  0.5492552685
##  [762,] -1.105632274 -1.1190635713
##  [763,]  1.258819128  1.2615356081
##  [764,]  0.724302189  0.7233682404
##  [765,]  0.535649152  0.5334268165
##  [766,] -0.423337122 -0.4321087549
##  [767,]  0.246381161  0.2421832999
##  [768,] -1.322583267 -1.3374962088
##  [769,]  0.567091324  0.5650837205
##  [770,] -1.071045883 -1.0842409769
##  [771,] -0.234684084 -0.2421673310
##  [772,] -1.060041123 -1.0731610605
##  [773,]  1.530007869  1.5345764050
##  [774,]  0.158343077  0.1535439688
##  [775,]  0.299832855  0.2960000367
##  [776,] -0.698456135 -0.7091066647
##  [777,]  0.721157972  0.7202025500
##  [778,]  0.188213141  0.1836180275
##  [779,] -0.651292875 -0.6616213088
##  [780,] -1.118209143 -1.1317263329
##  [781,]  1.180213696  1.1823933482
##  [782,]  0.252669595  0.2485146807
##  [783,]  0.276251225  0.2722573587
##  [784,] -0.682735048 -0.6932782128
##  [785,]  0.158343077  0.1535439688
##  [786,] -0.627711246 -0.6378786308
##  [787,] -0.470500381 -0.4795941109
##  [788,] -0.706316678 -0.7170208907
##  [789,] -0.627711246 -0.6378786308
##  [790,] -0.981435691 -0.9940188006
##  [791,] -1.413765568 -1.4293012303
##  [792,] -1.492371000 -1.5084434903
##  [793,] -0.077473220 -0.0838828111
##  [794,] -0.549105813 -0.5587363708
##  [795,]  1.180213696  1.1823933482
##  [796,]  0.252669595  0.2485146807
##  [797,] -0.234684084 -0.2421673310
##  [798,] -0.784922110 -0.7961631507
##  [799,] -0.706316678 -0.7170208907
##  [800,] -0.863527542 -0.8753054107
##  [801,]  2.198940098  2.2080770372
##  [802,]  1.010425962  1.0114460667
##  [803,]  0.276251225  0.2722573587
##  [804,] -0.682735048 -0.6932782128
##  [805,]  1.101608264  1.1032510882
##  [806,] -0.061752133 -0.0680543591
##  [807,] -0.344731690 -0.3529664950
##  [808,] -1.075762209 -1.0889895125
##  [809,]  0.881513053  0.8816527603
##  [810,] -0.250405171 -0.2579957830
##  [811,]  3.459771231  3.4775188868
##  [812,]  0.787186535  0.7866820484
##  [813,]  0.394159374  0.3909707486
##  [814,]  0.158343077  0.1535439688
##  [815,]  1.416029993  1.4198201280
##  [816,] -0.784922110 -0.7961631507
##  [817,]  0.472764806  0.4701130086
##  [818,]  0.158343077  0.1535439688
##  [819,] -0.108915393 -0.1155397151
##  [820,] -0.360452776 -0.3687949469
##  [821,]  1.562236097  1.5670247315
##  [822,] -0.009872548 -0.0158204675
##  [823,]  1.136194654  1.1380736826
##  [824,] -0.218962998 -0.2263388790
##  [825,]  0.629975670  0.6283975285
##  [826,]  0.158343077  0.1535439688
##  [827,]  1.543370793  1.5480305892
##  [828,] -0.063324242 -0.0696372043
##  [829,]  0.318698159  0.3149941791
##  [830,] -1.038031602 -1.0510012278
##  [831,] -0.784922110 -0.7961631507
##  [832,] -1.177949271 -1.1918744505
##  [833,]  0.252669595  0.2485146807
##  [834,] -0.942132975 -0.9544476706
##  [835,]  0.158343077  0.1535439688
##  [836,] -0.877676520 -0.8895510174
##  [837,]  1.205367434  1.2077188713
##  [838,] -0.154506544 -0.1614422259
##  [839,]  1.535510250  1.5401163632
##  [840,] -0.355736450 -0.3640464113
##  [841,]  1.136194654  1.1380736826
##  [842,] -0.218962998 -0.2263388790
##  [843,]  1.730451722  1.7363891678
##  [844,] -0.218962998 -0.2263388790
##  [845,]  1.136194654  1.1380736826
##  [846,] -0.218962998 -0.2263388790
##  [847,]  0.095458731  0.0902301608
##  [848,] -0.407616035 -0.4162803029
##  [849,]  0.787186535  0.7866820484
##  [850,] -0.272414692 -0.2801556158
##  [851,]  2.485063871  2.4961548634
##  [852,]  0.636264105  0.6347289093
##  [853,]  0.079737645  0.0744017088
##  [854,] -0.218962998 -0.2263388790
##  [855,]  0.158343077  0.1535439688
##  [856,] -1.177949271 -1.1918744505
##  [857,]  1.015142288  1.0161946023
##  [858,] -0.272414692 -0.2801556158
##  [859,] -0.611990159 -0.6220501788
##  [860,] -0.722037764 -0.7328493427
##  [861,]  1.730451722  1.7363891678
##  [862,] -0.218962998 -0.2263388790
##  [863,] -1.020738407 -1.0335899306
##  [864,] -1.177949271 -1.1918744505
##  [865,]  0.476695077  0.4740701216
##  [866,] -0.501942554 -0.5112510149
##  [867,]  0.988416441  0.9892862339
##  [868,] -0.602557507 -0.6125531076
##  [869,]  0.119040361  0.1139728388
##  [870,] -0.273986801 -0.2817384610
##  [871,] -1.020738407 -1.0335899306
##  [872,] -1.177949271 -1.1918744505
##  [873,] -0.880537758 -0.8924317957
##  [874,] -1.540131661 -1.5565303274
##  [875,]  0.331275028  0.3276569407
##  [876,]  0.032574385  0.0269163528
##  [877,]  1.158204175  1.1602335154
##  [878,] -0.549105813 -0.5587363708
##  [879,]  0.252669595  0.2485146807
##  [880,] -1.207819336 -1.2219485093
##  [881,] -0.156078652 -0.1630250711
##  [882,] -0.627711246 -0.6378786308
##  [883,] -0.299140539 -0.3070639842
##  [884,] -1.214107770 -1.2282798901
##  [885,]  2.885951576  2.8997803892
##  [886,] -0.093194306 -0.0997112631
##  [887,]  0.472764806  0.4701130086
##  [888,] -0.498798337 -0.5080853245
##  [889,]  3.211378065  3.2274293454
##  [890,]  1.129906219  1.1317423018
##  [891,]  0.252669595  0.2485146807
##  [892,] -1.209391444 -1.2235313545
##  [893,]  0.104891383  0.0997272320
##  [894,] -0.200097694 -0.2073447366
##  [895,] -0.014588874 -0.0205690031
##  [896,] -1.330443810 -1.3454104348
##  [897,]  0.582812411  0.5809121725
##  [898,]  0.472764806  0.4701130086
##  [899,] -0.476222857 -0.4853556674
##  [900,] -1.250675017 -1.2650968694
##  [901,] -0.706316678 -0.7170208907
##  [902,] -1.303717963 -1.3185020664
##  [903,] -0.753479937 -0.7645062467
##  [904,] -0.867143392 -0.8789459546
##  [905,]  0.567091324  0.5650837205
##  [906,] -1.071045883 -1.0842409769
##  [907,] -0.266126257 -0.2738242350
##  [908,] -1.438919306 -1.4546267535
##  [909,]  0.313981833  0.3102456435
##  [910,]  0.222799531  0.2184406219
##  [911,]  2.447333264  2.4581665786
##  [912,]  0.354856657  0.3513996186
##  [913,] -0.706316678 -0.7170208907
##  [914,] -1.177949271 -1.1918744505
##  [915,] -1.809936947 -1.7842859231
##  [916,] -1.885398161 -1.7943053332
##  [917,]  0.476537867  0.4739118371
##  [918,] -0.467985007 -0.4770615586
##  [919,]  0.975839572  0.9766234723
##  [920,] -0.888681281 -0.9006309338
##  [921,]  1.966268018  1.9738159477
##  [922,]  0.315553941  0.3118284887
##  [923,] -0.486221468 -0.4954225629
##  [924,] -1.234545183 -1.2488568776
##  [925,] -0.534170781 -0.5436993414
##  [926,] -1.263314771 -1.2778229448
##  [927,]  1.181785805  1.1839761934
##  [928,] -0.141929674 -0.1487794643
##  [929,] -0.533384727 -0.5429079188
##  [930,] -0.942132975 -0.9544476706
##  [931,]  0.975839572  0.9766234723
##  [932,] -0.890253389 -0.9022137790
##  [933,]  0.457043719  0.4542845566
##  [934,] -0.093194306 -0.0997112631
##  [935,]  1.585817726  1.5907674095
##  [936,]  0.271534899  0.2675088231
##  [937,] -0.093194306 -0.0997112631
##  [938,] -1.162228185 -1.1760459985
##  [939,]  1.258819128  1.2615356081
##  [940,]  0.472764806  0.4701130086
##  [941,]  0.102533220  0.0973529642
##  [942,] -0.483077250 -0.4922568725
##  [943,]  0.001132212 -0.0047405512
##  [944,] -0.313289517 -0.3213095910
##  [945,]  1.533938141  1.5385335180
##  [946,]  0.350140331  0.3466510830
##  [947,]  0.079737645  0.0744017088
##  [948,] -0.391894949 -0.4004518509
##  [949,]  0.394159374  0.3909707486
##  [950,] -0.824224826 -0.8357342807
##  [951,]  1.101608264  1.1032510882
##  [952,]  0.551370238  0.5492552685
##  [953,] -0.784922110 -0.7961631507
##  [954,] -1.177949271 -1.1918744505
##  [955,]  2.407244493  2.4178040261
##  [956,]  0.824131088  0.8238789106
##  [957,] -2.042609026 -2.0372245859
##  [958,]  0.813126327  0.8127989942
##  [959,] -0.398183383 -0.4067832317
##  [960,]  0.758888579  0.7581908348
##  [961,] -0.624567028 -0.6347129404
##  [962,]  0.975839572  0.9766234723
##  [963,] -0.888681281 -0.9006309338
##  [964,] -0.077473220 -0.0838828111
##  [965,] -0.627711246 -0.6378786308
##  [966,] -0.949993518 -0.9623618966
##  [967,] -1.335160136 -1.3501589704
##  [968,]  2.805774035  2.8190552840
##  [969,]  0.875224619  0.8753213795
##  [970,]  0.548226021  0.5460895781
##  [971,]  0.188213141  0.1836180275
##  [972,] -1.020738407 -1.0335899306
##  [973,] -1.385467612 -1.4008100168
##  [974,] -1.453068284 -1.2591770283
##  [975,] -1.500231544 -1.3176156731
##  [976,] -0.533384727 -0.5429079188
##  [977,] -1.217251987 -1.2314455804
##  [978,]  1.023002831  1.0241088283
##  [979,]  0.313195778  0.3094542209
##  [980,]  1.180213696  1.1823933482
##  [981,]  0.472764806  0.4701130086
##  [982,] -0.039742612 -0.0458945263
##  [983,] -0.664152724 -0.6745689825
##  [984,]  1.184930022  1.1871418838
##  [985,]  0.746311710  0.7455280732
##  [986,]  0.158343077  0.1535439688
##  [987,] -0.218962998 -0.2263388790
##  [988,]  0.859503532  0.8594929275
##  [989,] -0.368313319 -0.3767091729
##  [990,]  0.944397399  0.9449665683
##  [991,] -0.549105813 -0.5587363708
##  [992,] -0.997156777 -1.0098472526
##  [993,] -1.721898862 -1.7395388894
##  [994,]  1.730451722  1.7363891678
##  [995,] -0.218962998 -0.2263388790
##  [996,]  2.826211447  2.8396322716
##  [997,]  0.666935944  0.6656102191
##  [998,]  2.044873451  2.0529582077
##  [999,]  0.158343077  0.1535439688
## [1000,] -0.679590831 -0.6901125224
## [1001,] -0.832085369 -0.8436485067
## [1002,]  0.394159374  0.3909707486
## [1003,]  0.001132212 -0.0047405512
## [1004,] -0.077473220 -0.0838828111
## [1005,] -0.470500381 -0.4795941109
## [1006,] -0.973575147 -0.9861045746
## [1007,] -1.413765568 -1.4293012303
## [1008,] -0.423337122 -0.4321087549
## [1009,] -0.885647111 -0.8975760426
## [1010,]  1.981989105  1.9896443997
## [1011,]  0.378438287  0.3751422966
## [1012,]  0.565519216  0.5635008753
## [1013,] -0.324294277 -0.3323895074
## [1014,]  1.139417477  1.1413185152
## [1015,]  0.359572983  0.3561481542
## [1016,] -0.464998001 -0.4740541527
## [1017,] -1.187381923 -1.2013715217
## [1018,]  0.875224619  0.8753213795
## [1019,] -0.695311917 -0.7059409744
## [1020,]  1.785475524  1.7917887498
## [1021,]  0.619914175  0.6182673192
## [1022,]  0.661417843  0.6600544325
## [1023,] -0.407616035 -0.4162803029
## [1024,]  1.258819128  1.2615356081
## [1025,] -0.407616035 -0.4162803029
## [1026,] -0.022449417 -0.0284832291
## [1027,] -1.060041123 -1.0731610605
## [1028,]  0.548226021  0.5460895781
## [1029,]  0.188213141  0.1836180275
## [1030,]  2.516506044  2.5278117674
## [1031,]  0.881513053  0.8816527603
## [1032,]  3.491213404  3.5091757908
## [1033,]  1.148771523  1.1507364442
## [1034,] -0.156078652  0.3475374764
## [1035,] -0.784922110 -0.4314756168
## [1036,] -0.863527542 -0.8753054107
## [1037,] -1.099343839 -1.1127321905
## [1038,] -0.297568430 -0.3054811390
## [1039,] -0.627711246 -0.6378786308
## [1040,] -0.022449417 -0.0284832291
## [1041,] -1.060041123 -1.0731610605
## [1042,] -0.266126257 -0.2738242350
## [1043,] -1.438919306 -1.4546267535
## [1044,]  1.313842931  1.3169351901
## [1045,] -0.061752133 -0.0680543591
## [1046,]  2.359295180  2.3695272475
## [1047,] -0.313289517 -0.3213095910
## [1048,]  2.058849496  2.0670297015
## [1049,]  0.586884172  0.5850117416
## [1050,]  2.439472720  2.4502523526
## [1051,] -0.047603156 -0.0538087523
## [1052,] -1.118209143 -1.1317263329
## [1053,] -1.663730843 -1.6809736170
## [1054,]  0.252669595  0.2485146807
## [1055,] -1.207819336 -1.2219485093
## [1056,]  0.001132212 -0.0047405512
## [1057,] -1.099343839 -1.1127321905
## [1058,]  0.001132212 -0.0047405512
## [1059,] -1.099343839 -1.1127321905
## [1060,]  0.315553941  0.3118284887
## [1061,] -0.470500381 -0.4795941109
## [1062,] -0.627711246 -0.6378786308
## [1063,] -0.942132975 -0.9544476706
## [1064,]  0.831205577  0.8310017140
## [1065,] -0.717321438 -0.7281008071
## [1066,]  1.925393194  1.9326619725
## [1067,] -0.154506544 -0.1614422259
## [1068,]  0.064016558  0.0585732568
## [1069,] -0.737758851 -0.7486777947
## [1070,]  1.158204175  1.1602335154
## [1071,] -0.549105813 -0.5587363708
## [1072,] -1.087553024 -1.1008608515
## [1073,] -1.595344117 -1.6121198508
## [1074,] -1.011305755 -1.0240928594
## [1075,] -1.460928827 -1.4767865863
## [1076,]  0.636264105  0.6347289093
## [1077,] -0.596269073 -0.6062217268
## [1078,] -0.476222857 -0.4853556674
## [1079,] -1.250675017 -1.2650968694
## [1080,]  2.433970340  2.4447123944
## [1081,]  0.158343077  0.1535439688
## [1082,] -0.802639775 -0.8140018161
## [1083,] -1.442676646 -1.4584097535
## [1084,] -0.187520825 -0.1946819750
## [1085,] -1.012877864 -1.0256757046
## [1086,]  2.470914893  2.4819092566
## [1087,]  1.051300787  1.0526000418
## [1088,]  0.057728124  0.0522418760
## [1089,] -0.678018722 -0.6885296772
## [1090,]  1.573240857  1.5781046479
## [1091,] -0.391894949 -0.4004518509
## [1092,]  2.044873451  2.0529582077
## [1093,]  0.472764806  0.4701130086
## [1094,]  0.158343077  0.1535439688
## [1095,] -0.313289517 -0.3213095910
## [1096,]  0.472764806  0.4701130086
## [1097,]  0.189785250  0.1852008727
## [1098,]  0.551370238  0.5492552685
## [1099,] -1.105632274 -1.1190635713
## [1100,]  0.231288918  0.2269879860
## [1101,] -0.286375017 -0.2942112812
## [1102,] -1.181093489 -1.1950401409
## [1103,] -1.357169657 -1.3723188032
## [1104,] -0.179503071 -0.1866094645
## [1105,] -0.855824210 -0.8675494692
## [1106,] -1.177949271 -0.9183588001
## [1107,] -1.492371000 -1.3078653467
## [1108,]  2.044873451  2.0529582077
## [1109,]  0.158343077  0.1535439688
## [1110,]  0.315553941  0.3118284887
## [1111,] -0.156078652 -0.1630250711
## [1112,] -0.195381368 -0.2025962010
## [1113,] -1.075762209 -1.0889895125
## [1114,]  1.632855217  1.6381261379
## [1115,]  0.136647977  0.1317007050
## [1116,]  1.728879613  1.7348063226
## [1117,] -0.168655521 -0.1756878327
## [1118,] -0.847806456 -0.5093832575
## [1119,] -1.335160136 -1.1131120734
## [1120,]  2.249247574  2.2587280835
## [1121,]  0.551370238  0.5492552685
## [1122,]  0.472764806  0.4701130086
## [1123,] -0.942132975 -0.9544476706
## [1124,]  0.236948509  0.2326862287
## [1125,] -0.541245270 -0.5508221448
## [1126,] -0.627711246 -0.6378786308
## [1127,] -1.256554704 -1.2710167104
## [1128,] -0.124636479 -0.1313681671
## [1129,] -0.753479937 -0.7645062467
## [1130,] -0.130924914 -0.1376995479
## [1131,] -0.448490860 -0.4574342781
## [1132,]  1.416029993  1.4198201280
## [1133,]  0.315553941  0.3118284887
## [1134,]  1.136194654  1.1380736826
## [1135,] -0.218962998 -0.2263388790
## [1136,] -1.492371000 -1.5084434903
## [1137,] -1.586697519 -1.6034142022
## [1138,] -0.234684084 -0.2421673310
## [1139,] -0.627711246 -0.6378786308
## [1140,]  0.787186535  0.7866820484
## [1141,]  0.472764806  0.4701130086
## [1142,]  0.787186535  1.5160571161
## [1143,]  0.001132212  0.5422907497
## [1144,]  0.284111768  0.2801715847
## [1145,] -0.313289517 -0.3213095910
## [1146,] -0.706316678 -0.7170208907
## [1147,] -1.256554704 -1.2710167104
## [1148,] -0.706316678 -0.7170208907
## [1149,] -0.784922110 -0.7961631507
## [1150,]  1.463193252  1.4673054840
## [1151,]  0.032574385  0.0269163528
## [1152,]  0.276251225  0.2722573587
## [1153,] -0.682735048 -0.6932782128
## [1154,] -1.335160136 -1.1131120734
## [1155,] -0.539673162 -0.5492392996
## [1156,] -1.104060165 -1.1174807261
## [1157,]  2.071599298  2.0798665760
## [1158,] -0.138785457 -0.1456137739
## [1159,]  0.364289309  0.3608966898
## [1160,] -0.990868343 -1.0035158718
## [1161,]  1.710014309  1.7158121803
## [1162,] -0.253549388 -0.2611614734
## [1163,] -0.470500381 -0.4795941109
## [1164,] -1.020738407 -1.0335899306
## [1165,]  1.184930022  1.1871418838
## [1166,]  0.746311710  0.7455280732
## [1167,]  0.111179817  0.1060586128
## [1168,] -0.391894949 -0.4004518509
## [1169,]  0.912955226  0.9133096643
## [1170,] -0.250405171 -0.2579957830
## [1171,] -0.156078652 -0.1630250711
## [1172,] -1.335160136 -1.3501589704
## [1173,]  1.710014309  1.7158121803
## [1174,]  0.158343077  0.1535439688
## [1175,]  1.710014309  1.7158121803
## [1176,]  0.601677715  0.5999063149
## [1177,] -1.728187297 -1.5999952566
## [1178,] -1.728187297 -1.5999952566
## [1179,] -0.627711246 -0.6378786308
## [1180,] -1.203103010 -1.2171999737
## [1181,]  0.526436595  0.5241513437
## [1182,]  0.526436595  0.5241513437
## [1183,] -0.313289517 -0.3213095910
## [1184,] -0.828941152 -0.8404828163
## [1185,]  2.343574093  2.3536987955
## [1186,]  0.582812411  0.5809121725
## [1187,]  0.857931424  0.8579100823
## [1188,] -1.319439049 -1.3343305184
## [1189,]  0.629975670  0.6283975285
## [1190,] -0.156078652 -0.1630250711
## [1191,]  0.318698159  0.3149941791
## [1192,] -1.038031602 -1.0510012278
## [1193,] -0.313289517 -0.3213095910
## [1194,] -0.760240004 -0.7713124811
## [1195,]  0.425601546  0.4226276526
## [1196,] -0.501942554 -0.5112510149
## [1197,]  1.329564017  1.3327636421
## [1198,] -0.360452776 -0.3687949469
## [1199,]  0.315553941 -0.5590687683
## [1200,]  2.162781599  2.1716715976
## [1201,]  0.284111768  0.2801715847
## [1202,]  0.079737645  0.0744017088
## [1203,] -0.156078652 -0.1630250711
## [1204,]  1.258819128  1.2615356081
## [1205,]  0.472764806  0.4701130086
## [1206,]  0.048295472  0.0427448048
## [1207,] -0.218962998 -0.2263388790
## [1208,] -0.880537758 -0.8924317957
## [1209,] -1.540131661 -1.5565303274
## [1210,]  1.636125203  1.6414184559
## [1211,]  0.787186535  0.7866820484
## [1212,]  1.015142288  1.0161946023
## [1213,] -0.242544628 -0.2500815570
## [1214,] -0.218962998 -0.2263388790
## [1215,] -0.722037764 -0.7328493427
## [1216,] -0.627711246 -0.6378786308
## [1217,] -0.942132975 -0.9544476706
## [1218,] -0.077473220 -0.0838828111
## [1219,] -0.549105813 -0.5587363708
## [1220,] -0.108915393 -0.1155397151
## [1221,] -0.517663640 -0.5270794669
## [1222,]  1.038723918  1.0399372802
## [1223,]  0.535649152  0.5334268165
## [1224,]  2.736601254  2.7494100953
## [1225,]  0.142621990  0.1377155168
## [1226,] -0.313289517 -0.3213095910
## [1227,] -0.627711246 -0.6378786308
## [1228,] -1.413765568 -1.2104887100
## [1229,] -1.649581865 -1.5026186200
## [1230,]  3.459771231  3.4775188868
## [1231,]  0.787186535  0.7866820484
## [1232,]  1.970984344  1.9785644833
## [1233,]  0.527788608  0.5255125905
## [1234,]  1.258819128  1.2615356081
## [1235,]  0.724302189  0.7233682404
## [1236,]  1.620404116  1.6255900039
## [1237,]  0.347624958  0.3441185307
## [1238,]  1.321703474  1.3248494161
## [1239,]  0.441322633  0.4384561046
## [1240,]  0.221227423  0.2168577767
## [1241,] -0.313289517 -0.3213095910
## [1242,] -0.639690713 -0.6499399112
## [1243,] -1.283689299 -1.2983366186
## [1244,] -1.523813173 -1.4732568415
## [1245,] -1.602418605 -1.5587146538
## [1246,] -1.086766970 -1.1000694289
## [1247,] -1.511236304 -1.5274376327
## [1248,]  1.713158527  1.7189778707
## [1249,]  0.411138147  0.4080654768
## [1250,] -1.453068284 -1.2591770283
## [1251,] -1.500231544 -1.3176156731
## [1252,] -0.470500381 -0.4795941109
## [1253,] -0.627711246 -0.6378786308
## [1254,]  2.500784958  2.5119833154
## [1255,] -0.124636479 -0.1313681671
## [1256,]  0.813126327  0.8127989942
## [1257,] -0.398183383 -0.4067832317
## [1258,] -1.335160136 -1.3501589704
## [1259,] -1.413765568 -1.4293012303
## [1260,] -0.280275235 -0.2880698418
## [1261,] -1.281708442 -1.2963422336
## [1262,] -0.077473220 -0.0838828111
## [1263,] -0.627711246 -0.6378786308
## [1264,]  0.158343077  0.1535439688
## [1265,] -0.156078652 -0.1630250711
## [1266,] -0.981435691 -0.9940188006
## [1267,] -1.374462852 -1.3897301004
## [1268,] -0.124636479 -0.1313681671
## [1269,] -0.344731690 -0.3529664950
## [1270,]  0.158343077  0.1535439688
## [1271,] -0.313289517 -0.3213095910
## [1272,]  0.079737645  0.0744017088
## [1273,] -0.163939195 -0.1709392971
## [1274,]  0.831205577  0.8310017140
## [1275,] -0.717321438 -0.7281008071
## [1276,]  1.117329350  1.1190795402
## [1277,] -0.329010603 -0.3371380430
## [1278,]  1.714730635  1.7205607159
## [1279,] -0.175730010 -0.1828106361
## [1280,] -0.470500381 -0.4795941109
## [1281,] -0.784922110 -0.7961631507
## [1282,]  0.079737645  0.0744017088
## [1283,] -0.313289517 -0.3213095910
## [1284,]  1.530793924  1.5353678276
## [1285,] -0.160794978 -0.1677736067
## [1286,]  1.023002831  1.0241088283
## [1287,]  0.515997793  0.5136412515
## [1288,]  1.543370793  1.5480305892
## [1289,] -0.063324242 -0.0696372043
## [1290,]  0.897234140  0.8974812123
## [1291,] -0.140357566 -0.1471966191
## [1292,] -0.942132975 -0.9544476706
## [1293,] -1.492371000 -1.5084434903
## [1294,]  1.530793924  1.5353678276
## [1295,] -0.160794978 -0.1677736067
## [1296,] -1.791071643 -1.8091840781
## [1297,]  2.359295180  2.3695272475
## [1298,] -0.784922110 -0.7961631507
## [1299,]  2.359295180  2.3695272475
## [1300,] -0.784922110 -0.7961631507
## [1301,] -0.522379966 -0.5318280025
## [1302,] -0.888681281 -0.9006309338
## [1303,] -1.099343839 -1.1127321905
## [1304,] -1.570976433 -1.5875857502
## [1305,]  0.457043719  0.4542845566
## [1306,]  0.417583792  0.4145551421
## [1307,]  0.708581102  0.7075397884
## [1308,] -0.097124578 -0.1036683761
## [1309,]  0.472764806  0.4701130086
## [1310,]  0.189785250  0.1852008727
## [1311,]  0.771465448  0.7708535964
## [1312,]  0.736250215  0.7353978639
## [1313,] -0.942132975 -0.9544476706
## [1314,] -1.256554704 -1.2710167104
## [1315,]  2.736601254  2.7494100953
## [1316,]  0.142621990  0.1377155168
## [1317,]  1.133050437  1.1349079922
## [1318,]  0.142621990  0.1377155168
## [1319,]  0.394159374  0.3909707486
## [1320,]  0.001132212 -0.0047405512
## [1321,] -1.570976433 -1.5875857502
## [1322,] -1.335160136 -1.2681834175
## [1323,] -0.627711246 -0.6378786308
## [1324,] -1.177949271 -1.1918744505
## [1325,] -1.681024038 -1.6441566377
## [1326,] -1.791071643 -1.7637880778
## [1327,]  1.101608264  1.1032510882
## [1328,] -1.099343839 -1.1127321905
## [1329,]  0.276251225  0.2722573587
## [1330,] -0.682735048 -0.6932782128
## [1331,]  0.001132212 -0.0047405512
## [1332,] -0.313289517 -0.3213095910
## [1333,]  0.001132212 -0.0047405512
## [1334,] -0.313289517 -0.3213095910
## [1335,] -0.368313319 -0.3767091729
## [1336,] -1.130786012 -1.1443890945
## [1337,]  0.565519216  0.5635008753
## [1338,] -0.324294277 -0.3323895074
## [1339,]  1.573240857  1.5781046479
## [1340,]  1.133050437  1.1349079922
## [1341,] -0.077473220 -0.0838828111
## [1342,] -0.470500381 -0.4795941109
## [1343,]  0.001132212 -0.0047405512
## [1344,] -0.470500381 -0.4795941109
## [1345,]  0.857931424  0.8579100823
## [1346,] -0.121492262 -0.1282024767
## [1347,]  2.312131920  2.3220418915
## [1348,] -0.187520825 -0.1946819750
## [1349,] -0.036598395 -0.0427288359
## [1350,] -0.685879265 -0.6964439032
## [1351,]  1.530793924  1.5353678276
## [1352,] -0.160794978 -0.1677736067
## [1353,] -1.046269451 -0.7552307739
## [1354,] -1.335097251 -1.1130329311
## [1355,] -0.293638159 -0.3015240260
## [1356,] -0.343159581 -0.3513836498
## [1357,] -0.533384727 -0.5429079188
## [1358,] -0.942132975 -0.9544476706
## [1359,]  0.386298830  0.3830565226
## [1360,] -0.580547986 -0.5903932748
## [1361,] -1.468789371 -1.4847008123
## [1362,] -1.791071643 -1.7637880778
## [1363,]  1.211655869  1.2140502521
## [1364,]  0.551370238  0.5492552685
## [1365,]  1.258819128  1.2615356081
## [1366,]  0.158343077  0.1535439688
## [1367,]  0.551370238  0.5492552685
## [1368,]  0.001132212 -0.0047405512
## [1369,] -0.182804499 -0.1899334394
## [1370,] -0.616706485 -0.6267987144
## [1371,]  0.551370238  0.5492552685
## [1372,] -1.105632274 -1.1190635713
## [1373,]  0.920815770  0.9212238903
## [1374,]  0.236948509  0.2326862287
## [1375,] -0.784922110 -0.7961631507
## [1376,] -1.177949271 -1.1918744505
## [1377,]  0.551370238  0.5492552685
## [1378,]  0.001132212 -0.0047405512
## [1379,] -1.649581865 -1.6099830098
## [1380,] -1.791071643 -1.7637880778
## [1381,] -0.195381368 -0.2025962010
## [1382,] -1.075762209 -1.0889895125
## [1383,] -0.313289517 -0.3213095910
## [1384,] -1.099343839 -1.1127321905
## [1385,]  1.258819128  1.2615356081
## [1386,]  0.724302189  0.7233682404
## [1387,]  0.831205577  0.8310017140
## [1388,] -0.717321438 -0.7281008071
## [1389,]  1.038723918  1.0399372802
## [1390,]  0.535649152  0.5334268165
## [1391,]  0.978590762  0.9793934514
## [1392,]  0.095458731  0.0902301608
## [1393,]  0.535649152  0.5334268165
## [1394,] -0.423337122 -0.4321087549
## [1395,] -0.609616275 -0.6196600825
## [1396,] -1.308575779 -1.3233930581
## [1397,]  0.629975670  0.6283975285
## [1398,] -0.176516065 -0.1836020587
## [1399,] -0.862898699 -0.8746722726
## [1400,] -1.423198220 -1.4387983015
## [1401,]  0.752631587  0.7518911109
## [1402,]  0.102580383  0.0974004495
## [1403,]  2.485063871  2.4961548634
## [1404,] -0.093194306 -0.0997112631
## [1405,]  0.346996114  0.3434853926
## [1406,] -0.156078652 -0.1630250711
## [1407,] -1.209391444 -0.9573126204
## [1408,] -1.429486654 -1.2299735344
## [1409,]  0.551370238  0.5492552685
## [1410,]  0.001132212 -0.0047405512
## [1411,]  0.064016558  0.0585732568
## [1412,] -0.737758851 -0.7486777947
## [1413,]  0.472764806  0.4701130086
## [1414,] -0.432769774 -0.4416058261
## [1415,] -1.099343839 -1.1127321905
## [1416,] -1.256554704 -1.2710167104
## [1417,] -0.470500381 -0.4795941109
## [1418,] -0.942132975 -0.9544476706
## [1419,]  1.219516412  1.2219644781
## [1420,] -0.038170504 -0.0443116811
## [1421,]  0.001132212 -0.0047405512
## [1422,] -1.570976433 -1.5875857502
## [1423,] -1.413765568 -1.2104887100
## [1424,] -1.649581865 -1.5026186200
## [1425,]  1.101608264  1.1032510882
## [1426,]  0.472764806  0.4701130086
## [1427,]  2.856710355  2.8703394685
## [1428,]  1.851818509  1.8585848172
## [1429,]  0.629975670  0.6283975285
## [1430,] -0.313289517 -0.3213095910
## [1431,]  0.158343077  0.1535439688
## [1432,] -0.313289517 -0.3213095910
## [1433,]  0.001132212 -0.0047405512
## [1434,] -1.570976433 -1.5875857502
## [1435,]  0.350140331  0.3466510830
## [1436,] -0.294424213 -0.3023154486
## [1437,]  1.573240857  1.5781046479
## [1438,] -0.784922110 -0.7961631507
## [1439,]  0.441322633  0.4384561046
## [1440,]  0.236948509  0.2326862287
## [1441,]  0.831205577  0.8310017140
## [1442,] -0.717321438 -0.7281008071
## [1443,]  0.079737645  0.0744017088
## [1444,] -0.470500381 -0.4795941109
## [1445,]  2.044873451  2.0529582077
## [1446,]  0.787186535  0.7866820484
## [1447,]  0.535649152  0.5334268165
## [1448,] -0.423337122 -0.4321087549
## [1449,]  0.831205577  0.8310017140
## [1450,] -0.717321438 -0.7281008071
## [1451,] -1.413765568 -1.2104887100
## [1452,] -1.492371000 -1.3078653467
## [1453,]  2.202084315  2.2112427276
## [1454,]  0.365861418  0.3624795350
## [1455,]  1.337424560  1.3406778681
## [1456,]  0.850070881  0.8499958564
## [1457,]  2.359295180  2.3695272475
## [1458,]  1.133050437  1.1349079922
## [1459,]  0.158343077  0.1535439688
## [1460,] -0.218962998 -0.2263388790
## [1461,]  0.881513053  0.8816527603
## [1462,] -0.250405171 -0.2579957830
## [1463,]  0.079737645  0.0744017088
## [1464,] -0.706316678 -0.7170208907
## [1465,]  2.162781599  2.1716715976
## [1466,]  0.983700115  0.9845376983
## [1467,]  0.630400140  0.6288248967
## [1468,]  0.032920249  0.0272645788
## [1469,] -2.074051199 -2.0713982138
## [1470,] -0.313289517 -0.3213095910
## [1471,] -0.784922110 -0.7961631507
## [1472,]  1.573240857  1.5781046479
## [1473,] -0.391894949 -0.4004518509
## [1474,] -0.297568430 -0.3054811390
## [1475,] -0.973575147 -0.9861045746
## [1476,] -1.099343839 -1.1127321905
## [1477,] -1.570976433 -1.5875857502
## [1478,]  0.755744362  0.7550251444
## [1479,] -0.281847344 -0.2896526870
## [1480,] -0.391894949 -0.4004518509
## [1481,] -0.549105813 -0.5587363708
## [1482,]  0.535649152  0.5334268165
## [1483,] -0.423337122 -0.4321087549
## [1484,] -0.077473220 -0.0838828111
## [1485,] -0.313289517 -0.3213095910
## [1486,]  0.326558702  0.3229084051
## [1487,] -0.566399008 -0.5761476680
## [1488,]  0.535649152  0.5334268165
## [1489,] -0.423337122 -0.4321087549
## [1490,]  2.044873451  2.0529582077
## [1491,]  0.787186535  0.7866820484
## [1492,]  0.551370238  0.5492552685
## [1493,] -1.083622753 -1.0969037385
## [1494,]  1.101608264  1.1032510882
## [1495,] -1.099343839 -1.1127321905
## [1496,]  0.551370238  0.5492552685
## [1497,] -0.423337122 -0.4321087549
## [1498,] -1.099343839 -1.1127321905
## [1499,] -1.177949271 -1.1918744505
## [1500,]  0.001132212 -0.0047405512
## [1501,] -0.313289517 -0.3213095910
## [1502,] -1.523813173 -1.5401003943
## [1503,] -1.602418605 -1.6192426542
## [1504,]  2.359295180  3.4635898491
## [1505,] -1.413765568 -1.2104887100
## [1506,]  0.001132212 -0.0047405512
## [1507,] -0.391894949 -0.4004518509
## [1508,]  0.001132212 -0.0047405512
## [1509,] -0.313289517 -0.3213095910
## [1510,] -1.453068284 -1.2591770283
## [1511,] -1.500231544 -1.3176156731
## [1512,]  0.629975670  0.6283975285
## [1513,]  0.315553941  0.3118284887
## [1514,] -0.391894949 -0.4004518509
## [1515,] -0.549105813 -0.5587363708
## [1516,] -0.313289517 -0.3213095910
## [1517,] -0.760240004 -0.7713124811
## [1518,]  0.001132212 -0.0047405512
## [1519,] -0.549105813 -0.5587363708
## [1520,]  0.535649152  0.5334268165
## [1521,] -0.423337122 -0.4321087549
## [1522,]  0.692860016  0.6917113364
## [1523,]  0.394159374  0.3909707486
## [1524,]  0.551370238  0.5492552685
## [1525,]  0.158343077  0.1535439688
## [1526,]  0.551370238  0.5492552685
## [1527,] -1.570976433 -1.5875857502
## [1528,] -1.099343839 -1.1127321905
## [1529,] -1.256554704 -1.2710167104
## [1530,]  1.636125203  1.6414184559
## [1531,]  0.787186535  0.7866820484
## [1532,] -0.298889001 -0.3068107289
## [1533,] -0.470500381 -0.4795941109
## [1534,]  0.158343077  0.1535439688
## [1535,] -0.313289517 -0.3213095910
## [1536,]  1.073514682  1.0749656445
## [1537,]  0.449780577  0.4469718118
## [1538,]  1.136194654  1.1380736826
## [1539,] -0.218962998 -0.2263388790
## [1540,]  2.610832563  2.6227824793
## [1541,]  0.818628708  0.8183389524
## [1542,]  1.136194654  1.1380736826
## [1543,] -0.218962998 -0.2263388790
## [1544,]  0.626045399  0.6244404155
## [1545,] -0.482872876 -0.4920511026
## [1546,]  0.189785250  0.1852008727
## [1547,] -0.313289517 -0.3213095910
## [1548,]  0.318698159  0.3149941791
## [1549,] -1.038031602 -1.0510012278
## [1550,]  0.831205577  0.8310017140
## [1551,] -0.717321438 -0.7281008071
## [1552,]  1.588081563  1.5930467066
## [1553,]  0.870791272  0.8708577561
## [1554,]  0.079737645  0.0744017088
## [1555,] -0.391894949 -0.4004518509
## [1556,] -0.234684084 -0.2421673310
## [1557,] -0.564826900 -0.5745648228
## [1558,]  1.073514682  1.0749656445
## [1559,]  0.449780577  0.4469718118
## [1560,]  1.416029993  1.4198201280
## [1561,]  0.208650553  0.2041950151
## [1562,]  1.711586418  1.7173950255
## [1563,]  0.774609666  0.7740192868
## [1564,]  1.032828510  1.0340016107
## [1565,]  0.148517398  0.1436511863
## [1566,]  0.079737645  0.0744017088
## [1567,] -0.391894949 -0.4004518509
## [1568,]  0.315553941  0.3118284887
## [1569,] -0.784922110 -0.7961631507
## [1570,]  1.321703474  1.3248494161
## [1571,]  0.912955226  0.9133096643
## [1572,]  0.834349794  0.8341674044
## [1573,] -0.266126257 -0.2738242350
## [1574,]  1.925393194  1.9326619725
## [1575,] -0.154506544 -0.1614422259
## [1576,]  2.076315623  2.0846151116
## [1577,]  0.912955226  0.9133096643
## [1578,] -0.880522037 -0.8924159673
## [1579,] -1.540131661 -1.5565303274
## [1580,]  0.960118486  0.9607950203
## [1581,]  0.551370238  0.5492552685
## [1582,] -0.489365685 -0.4985882533
## [1583,] -1.177949271 -1.1918744505
## [1584,]  0.148124371  0.1432554750
## [1585,] -0.311717408 -0.3197267458
## [1586,]  1.761893895  1.7680460718
## [1587,]  1.494635425  1.4989623880
## [1588,]  0.629975670  0.6283975285
## [1589,]  0.001132212 -0.0047405512
## [1590,]  0.869219164  0.8692749109
## [1591,] -0.207282231 -0.2145783392
## [1592,]  0.551370238  0.5492552685
## [1593,] -0.869815977 -0.8816367915
## [1594,]  0.158343077  0.1535439688
## [1595,] -0.674874505 -0.6853639868
## [1596,]  1.799624502  1.8060343566
## [1597,]  0.414596786  0.4115477362
## [1598,]  0.158343077  0.1535439688
## [1599,] -0.674874505 -0.6853639868
## [1600,]  1.966268018  1.9738159477
## [1601,]  0.394159374  0.3909707486
## [1602,] -1.162228185 -1.1760459985
## [1603,] -1.570976433 -1.5245251975
## [1604,] -1.728187297 -1.6954249937
## [1605,] -1.086766970 -1.1000694289
## [1606,] -1.511236304 -1.5274376327
## [1607,]  0.001132212 -0.0047405512
## [1608,] -0.391894949 -0.4004518509
## [1609,]  0.944397399  0.9449665683
## [1610,]  0.472764806  0.4701130086
## [1611,]  0.944397399  0.9449665683
## [1612,]  0.079737645  0.0744017088
## [1613,]  0.307693398  0.3039142627
## [1614,] -0.187520825 -0.1946819750
## [1615,]  1.206939543  1.2093017165
## [1616,] -0.261409931 -0.2690756994
## [1617,]  2.024436038  2.0323812201
## [1618,]  0.147338316  0.1424640524
## [1619,]  0.472764806  0.4701130086
## [1620,] -0.470500381 -0.4795941109
## [1621,] -0.391894949 -0.4004518509
## [1622,] -0.549105813 -0.5587363708
## [1623,]  2.316848246  2.3267904271
## [1624,]  0.758888579  0.7581908348
## [1625,]  0.857931424  0.8579100823
## [1626,] -0.173371847 -0.1804363683
## [1627,] -0.621422811 -0.6315472500
## [1628,] -1.287996876 -1.3026736144
## [1629,]  1.739884373  1.7458862390
## [1630,]  0.323414485  0.3197427147
## [1631,] -1.354811494 -1.3699445354
## [1632,] -1.627572344 -1.6445681774
## [1633,]  1.020990532  1.0220827864
## [1634,]  0.580391364  0.5784745909
## [1635,] -0.863527542 -0.8753054107
## [1636,] -1.247122052 -1.2615196392
## [1637,] -0.006728331 -0.0126547771
## [1638,] -0.359273695 -0.3676078130
## [1639,]  0.189785250  0.1852008727
## [1640,] -0.611990159 -0.6220501788
## [1641,]  2.044873451  2.0529582077
## [1642,]  0.515997793  0.5136412515
## [1643,]  0.988416441  0.9892862339
## [1644,] -0.406043927 -0.4146974577
## [1645,]  0.724302189  0.7233682404
## [1646,] -0.115203827 -0.1218710959
## [1647,]  0.551370238  0.5492552685
## [1648,] -1.105632274 -1.1190635713
## [1649,]  0.677138930  0.6758828845
## [1650,] -0.627711246 -0.6378786308
## [1651,]  1.494635425  1.4989623880
## [1652,]  0.551370238  0.5492552685
## [1653,]  0.064016558  0.0585732568
## [1654,] -0.737758851 -0.7486777947
## [1655,] -1.099343839 -1.1127321905
## [1656,] -1.256554704 -1.2710167104
## [1657,]  1.573240857  1.5781046479
## [1658,]  1.180213696  1.1823933482
## [1659,] -0.942132975 -0.9544476706
## [1660,] -1.099343839 -1.1127321905
## [1661,] -1.570976433 -1.4052419833
## [1662,] -1.728187297 -1.5999952566
## [1663,]  0.865791967  0.8658243083
## [1664,]  0.276251225  0.2722573587
## [1665,]  0.828061359  0.8278360236
## [1666,]  0.296688638  0.2928343463
## [1667,]  0.221227423  0.2168577767
## [1668,] -0.313289517 -0.3213095910
## [1669,]  1.416029993  1.4198201280
## [1670,]  1.101608264  1.1032510882
## [1671,]  0.284111768  0.2801715847
## [1672,] -0.313289517 -0.3213095910
## [1673,]  0.565519216  0.5635008753
## [1674,] -0.324294277 -0.3323895074
## [1675,]  2.316848246  2.3267904271
## [1676,]  0.758888579  0.7581908348
## [1677,]  0.629975670  0.6283975285
## [1678,]  0.095458731  0.0902301608
## [1679,]  0.865791967  0.8658243083
## [1680,]  0.032574385  0.0269163528
## [1681,]  0.732162732  0.7312824664
## [1682,] -0.827369044 -0.8388999711
## [1683,]  1.730451722  1.7363891678
## [1684,]  0.661417843  0.6600544325
## [1685,]  1.038723918  1.0399372802
## [1686,]  0.535649152  0.5334268165
## [1687,]  0.661417843  0.6600544325
## [1688,]  0.221227423  0.2168577767
## [1689,]  1.222660629  1.2251301685
## [1690,]  0.077159386  0.0718058427
## [1691,]  0.158343077  0.1535439688
## [1692,] -0.156078652 -0.1630250711
## [1693,]  0.284111768  0.2801715847
## [1694,] -0.313289517 -0.3213095910
## [1695,]  2.123478883  2.1321004676
## [1696,]  0.629975670  0.6283975285
## [1697,]  4.010009257  4.0315147065
## [1698,]  1.887662586  1.8946736878
## [1699,]  1.011998071  1.0130289119
## [1700,] -0.651292875 -0.6616213088
## [1701,] -0.077473220 -0.0838828111
## [1702,] -0.549105813 -0.5587363708
## [1703,] -0.313289517 -0.3213095910
## [1704,] -0.580547986 -0.5903932748
## [1705,]  0.700720559  0.6996255624
## [1706,] -0.623780974 -0.6339215178
## [1707,]  2.280689747  2.2903849875
## [1708,]  0.430317872  0.4273761882
## [1709,] -1.649581865 -1.5026186200
## [1710,] -1.791071643 -1.6779028973
## [1711,] -0.218962998 -0.2263388790
## [1712,] -0.722037764 -0.7328493427
## [1713,]  1.136194654  1.1380736826
## [1714,] -0.218962998 -0.2263388790
## [1715,]  0.661417843  0.6600544325
## [1716,]  0.221227423  0.2168577767
## [1717,]  1.101608264  1.1032510882
## [1718,]  0.582812411  0.5809121725
## [1719,]  3.195656979  3.2116008934
## [1720,]  1.562236097  1.5670247315
## [1721,] -1.020738407 -1.0335899306
## [1722,] -1.115064926 -1.1285606425
## [1723,]  1.015142288  1.0161946023
## [1724,] -0.272414692 -0.2801556158
## [1725,] -0.297568430 -0.3054811390
## [1726,] -0.313289517 -0.3213095910
## [1727,]  0.057728124  0.0522418760
## [1728,] -0.678018722 -0.6885296772
## [1729,]  1.101608264  1.1032510882
## [1730,]  0.205506336  0.2010293247
## [1731,]  0.284111768  0.2801715847
## [1732,] -0.313289517 -0.3213095910
## [1733,] -0.668586070 -0.6790326060
## [1734,] -0.761340480 -0.7724204727
## [1735,] -1.099343839 -1.1127321905
## [1736,] -1.256554704 -1.2710167104
## [1737,] -1.177949271 -1.0972836214
## [1738,]  2.359295180  2.3695272475
## [1739,] -0.784922110 -0.7961631507
## [1740,]  0.394159374  0.3909707486
## [1741,] -0.234684084 -0.2421673310
## [1742,]  0.221227423  0.2168577767
## [1743,] -0.313289517 -0.3213095910
## [1744,]  2.359295180  2.3695272475
## [1745,]  0.960118486  0.9607950203
## [1746,]  1.981989105  1.9896443997
## [1747,]  0.535649152  0.5334268165
## [1748,] -0.549105813 -0.5587363708
## [1749,] -0.627711246 -0.6378786308
## [1750,] -0.159065659 -0.1660324769
## [1751,] -0.858418189 -0.8701611638
## [1752,]  0.268390682  0.2643431327
## [1753,]  0.001132212 -0.0047405512
## [1754,] -0.093194306 -0.0997112631
## [1755,] -0.847806456 -0.8594769587
## [1756,] -0.156078652 -0.1630250711
## [1757,] -0.391894949 -0.4004518509
## [1758,] -0.077473220 -0.0838828111
## [1759,] -0.533384727 -0.5429079188
## [1760,]  0.174064163  0.1693724207
## [1761,] -0.528668401 -0.5381593832
## [1762,] -0.156078652 -0.1630250711
## [1763,] -0.391894949 -0.4004518509
## [1764,]  0.403026066  0.3998979955
## [1765,] -0.079768499 -0.0861937651
## [1766,]  1.180213696  1.1823933482
## [1767,]  0.252669595  0.2485146807
## [1768,]  0.629975670  0.6283975285
## [1769,]  0.001132212 -0.0047405512
## [1770,]  1.180213696  1.1823933482
## [1771,]  0.252669595  0.2485146807
## [1772,]  0.021569625  0.0158364364
## [1773,] -0.374601754 -0.3830405537
## [1774,]  0.629975670  0.6283975285
## [1775,]  0.032574385  0.0269163528
## [1776,]  0.828061359  0.8278360236
## [1777,]  0.296688638  0.2928343463
## [1778,]  0.629975670  0.6283975285
## [1779,]  0.001132212 -0.0047405512
## [1780,]  0.472764806  0.4701130086
## [1781,] -0.391894949 -0.4004518509
## [1782,] -0.580547986 -0.5903932748
## [1783,] -0.935844540 -0.9481162898
## [1784,]  0.854787206  0.8547443920
## [1785,] -0.171799739 -0.1788535231
## [1786,]  2.076315623  2.0846151116
## [1787,]  0.912955226  0.9133096643
## [1788,]  0.551370238  0.5492552685
## [1789,] -0.407616035 -0.4162803029
## [1790,]  1.416029993  1.4198201280
## [1791,]  0.111179817  0.1060586128
## [1792,]  0.988416441  0.9892862339
## [1793,] -0.602557507 -0.6125531076
## [1794,]  0.519928065  0.5175983645
## [1795,] -0.046031047 -0.0522259071
## [1796,]  0.299832855  0.2960000367
## [1797,] -0.926411888 -0.9386192186
## [1798,]  0.944397399  0.9449665683
## [1799,]  0.158343077  0.1535439688
## [1800,] -1.242405726 -1.2567711036
## [1801,] -1.586697519 -1.6034142022
## [1802,]  0.677138930  0.6758828845
## [1803,] -0.344731690 -0.3529664950
## [1804,]  0.284111768  0.2801715847
## [1805,] -0.313289517 -0.3213095910
## [1806,]  0.064016558  0.0585732568
## [1807,] -0.737758851 -0.7486777947
## [1808,] -0.880537758 -0.8924317957
## [1809,] -1.540131661 -1.5565303274
## [1810,]  0.472764806  0.4701130086
## [1811,]  0.158343077  0.1535439688
## [1812,] -0.156078652 -0.1630250711
## [1813,] -0.156078652 -0.1630250711
## [1814,]  1.966268018  1.9738159477
## [1815,]  1.463193252  1.4673054840
## [1816,]  1.023002831  1.0241088283
## [1817,]  0.158343077  0.1535439688
## [1818,]  0.386298830  0.3830565226
## [1819,] -0.580547986 -0.5903932748
## [1820,] -0.391894949 -0.4004518509
## [1821,] -1.099343839 -1.1127321905
## [1822,] -0.077473220 -0.0838828111
## [1823,] -0.549105813 -0.5587363708
## [1824,]  1.730451722  1.7363891678
## [1825,]  0.158343077  0.1535439688
## [1826,]  0.818628708  0.8183389524
## [1827,] -0.156078652 -0.1630250711
## [1828,] -0.313289517 -0.8545226532
## [1829,]  1.573240857  1.5781046479
## [1830,] -0.156078652 -0.1630250711
## [1831,] -1.649581865 -1.6099830098
## [1832,] -1.728187297 -1.6954249937
## [1833,]  0.850070881  0.8499958564
## [1834,] -0.352592233 -0.3608807209
## [1835,] -0.069612677 -0.0759685851
## [1836,] -0.659153419 -0.6695355348
## [1837,]  0.881513053  0.8816527603
## [1838,]  0.395731482  0.3925535938
## [1839,] -0.431197665 -0.4400229809
## [1840,] -1.060041123 -1.0731610605
## [1841,] -0.621422811 -0.6315472500
## [1842,] -1.287996876 -1.3026736144
## [1843,]  0.629975670  0.6283975285
## [1844,]  0.158343077  0.1535439688
## [1845,] -0.863527542 -0.8753054107
## [1846,] -1.177949271 -1.1918744505
## [1847,] -0.218962998 -0.2263388790
## [1848,] -0.722037764 -0.7328493427
## [1849,] -0.313289517 -0.3213095910
## [1850,] -0.706316678 -0.7170208907
## [1851,]  0.064016558  0.0585732568
## [1852,] -0.737758851 -0.7486777947
## [1853,]  1.054445004  1.0557657322
## [1854,]  0.661417843  0.6600544325
## [1855,]  0.315553941  0.3118284887
## [1856,] -0.784922110 -0.7961631507
## [1857,] -0.942132975 -0.9544476706
## [1858,] -1.413765568 -1.4293012303
## [1859,]  3.145349502  3.1609498470
## [1860,]  0.284111768  0.2801715847
## [1861,]  1.335852452  1.3390950229
## [1862,] -0.572687443 -0.5824790488
## [1863,]  3.695587528  3.7149456667
## [1864,]  1.494635425  1.4989623880
## [1865,]  1.651846289  1.6572469079
## [1866,]  1.651846289  1.6572469079
## [1867,]  0.318698159  0.3149941791
## [1868,] -1.038031602 -1.0510012278
## [1869,]  0.318698159  0.3149941791
## [1870,] -1.038031602 -1.0510012278
## [1871,]  0.826489251  0.8262531784
## [1872,]  0.433462090  0.4305418786
## [1873,]  2.485063871  2.4961548634
## [1874,] -0.093194306 -0.0997112631
## [1875,] -0.313289517 -0.3213095910
## [1876,] -0.760240004 -0.7713124811
## [1877,]  2.359295180  2.3695272475
## [1878,]  0.001132212 -0.0047405512
## [1879,]  1.136194654  1.1380736826
## [1880,] -0.218962998 -0.2263388790
## [1881,] -0.077473220 -0.0838828111
## [1882,] -0.313289517 -0.3213095910
## [1883,]  0.079737645  0.0744017088
## [1884,] -0.313289517 -0.3213095910
## [1885,]  1.416029993  1.4198201280
## [1886,]  0.472764806  0.4701130086
## [1887,]  0.318698159  0.3149941791
## [1888,] -1.038031602 -1.0510012278
## [1889,]  0.944397399  0.9449665683
## [1890,]  0.236948509  0.2326862287
## [1891,]  2.359295180  2.3695272475
## [1892,]  0.001132212 -0.0047405512
## [1893,]  2.359295180  2.3695272475
## [1894,]  0.001132212 -0.0047405512
## [1895,]  0.988416441  0.9892862339
## [1896,] -0.602557507 -0.6125531076
## [1897,]  1.000993310  1.0019489955
## [1898,] -0.734614633 -0.7455121043
## [1899,]  1.258819128  1.2615356081
## [1900,]  0.048295472  0.0427448048
## [1901,]  2.485063871  2.4961548634
## [1902,]  0.636264105  0.6347289093
## [1903,]  0.850070881  0.8499958564
## [1904,] -0.352592233 -0.3608807209
## [1905,]  1.573240857  1.5781046479
## [1906,] -0.391894949 -0.4004518509
## [1907,]  3.695587528  3.7149456667
## [1908,]  2.516506044  2.5278117674
## [1909,] -0.470500381 -0.4795941109
## [1910,] -0.973575147 -0.9861045746
## [1911,]  0.126900904  0.1218870648
## [1912,] -0.659153419 -0.6695355348
## [1913,]  3.695587528  3.7149456667
## [1914,]  2.516506044  2.5278117674
## [1915,]  1.530793924  1.5353678276
## [1916,] -0.160794978 -0.1677736067
## [1917,]  1.416029993  1.4198201280
## [1918,]  0.472764806  0.4701130086
## [1919,] -0.313289517 -0.3213095910
## [1920,] -0.760240004 -0.7713124811
## [1921,]  0.944397399  0.9449665683
## [1922,]  0.236948509  0.2326862287
## [1923,]  0.318698159  0.3149941791
## [1924,] -1.038031602 -1.0510012278
## [1925,]  1.136194654  1.1380736826
## [1926,] -0.218962998 -0.2263388790
## [1927,]  0.299832855  0.2960000367
## [1928,] -0.926411888 -0.9386192186
## [1929,] -0.234684084 -0.2421673310
## [1930,] -0.627711246 -0.6378786308
## [1931,] -0.706316678 -0.3340989802
## [1932,] -1.099343839 -0.8209821634
## [1933,]  2.359295180  3.4635898491
## [1934,] -1.837244474 -1.7351069228
## [1935,]  0.001132212 -0.0047405512
## [1936,] -0.313289517 -0.3213095910
## [1937,] -0.344731690 -0.3529664950
## [1938,] -1.075762209 -1.0889895125
## [1939,]  2.453621698  2.4644979594
## [1940,]  0.850070881  0.8499958564
## [1941,]  0.565519216  0.5635008753
## [1942,] -0.324294277 -0.3323895074
## [1943,]  0.857931424  0.8579100823
## [1944,] -0.121492262 -0.1282024767
## [1945,] -1.256554704 -1.1827414337
## [1946,] -2.074051199 -2.0940962140
## [1947,]  2.359295180  3.4635898491
## [1948,] -1.570976433 -1.4052419833
## [1949,]  1.887662586  1.8946736878
## [1950,]  0.787186535  0.7866820484
## [1951,]  0.857931424  0.8579100823
## [1952,] -0.121492262 -0.1282024767
## [1953,] -1.177949271 -0.9183588001
## [1954,] -1.492371000 -1.3078653467
## [1955,]  0.607966149  0.6062376957
## [1956,] -0.603343562 -0.6133445302
## [1957,]  1.258819128  1.2615356081
## [1958,]  0.158343077  0.1535439688
## [1959,]  1.530793924  1.5353678276
## [1960,] -0.160794978 -0.1677736067
## [1961,]  3.302560366  3.3192343669
## [1962,]  1.416029993  1.4198201280
## [1963,] -0.327438494 -0.3355551978
## [1964,] -0.605701725 -0.6157187980
## [1965,] -0.234684084 -0.2421673310
## [1966,] -0.627711246 -0.6378786308
## [1967,]  1.015142288  1.0161946023
## [1968,] -0.272414692 -0.2801556158
## [1969,] -0.470500381 -0.4795941109
## [1970,] -0.784922110 -0.7961631507
## [1971,]  1.461951286  1.4660550363
## [1972,]  0.316261390  0.3125407690
## [1973,]  1.180213696  1.1823933482
## [1974,]  0.394159374  0.3909707486
## [1975,]  0.472764806  0.4701130086
## [1976,]  0.189785250  0.1852008727
## [1977,]  0.394159374  0.3909707486
## [1978,] -0.942132975 -0.9544476706
## [1979,]  0.102533220  0.0973529642
## [1980,] -0.483077250 -0.4922568725
## [1981,]  1.494635425  1.4989623880
## [1982,]  0.551370238  0.5492552685
## [1983,]  1.015142288  1.0161946023
## [1984,] -0.272414692 -0.2801556158
## [1985,]  0.076593427  0.0712360184
## [1986,] -1.157511859 -1.1712974629
## [1987,]  0.450755285  0.4479531758
## [1988,] -0.964142496 -0.9766075034
## [1989,]  1.543370793  1.5480305892
## [1990,] -0.063324242 -0.0696372043
## [1991,] -0.880522037 -0.8924159673
## [1992,] -1.540131661 -1.5565303274
## [1993,]  0.902657915  0.9029420283
## [1994,]  0.477481132  0.4748615442
## [1995,]  0.787186535  0.7866820484
## [1996,] -0.156078652 -0.1630250711
## [1997,]  0.865791967  0.8658243083
## [1998,]  0.276251225  0.2722573587
## [1999,] -0.156078652 -0.1630250711
## [2000,] -0.627711246 -0.6378786308
## [2001,]  1.228084404  1.2305909845
## [2002,]  0.760460688  0.7597736800
## [2003,]  0.001132212 -0.0047405512
## [2004,] -0.156078652 -0.1630250711
## [2005,] -0.784922110 -0.7961631507
## [2006,] -1.177949271 -1.1918744505
## [2007,] -1.649581865 -1.6099830098
## [2008,] -1.791071643 -1.7637880778
## [2009,] -0.784922110 -0.7961631507
## [2010,] -1.177949271 -1.1918744505
## [2011,] -1.219452940 -1.1424105380
## [2012,] -1.768433278 -1.7391748350
## [2013,] -0.156078652 -0.1630250711
## [2014,] -0.784922110 -0.7961631507
## [2015,] -0.391894949 -0.4004518509
## [2016,] -0.470500381 -0.4795941109
## [2017,] -0.360452776 -0.3687949469
## [2018,] -0.800643197 -0.8119916027
## [2019,] -0.313289517 -0.3213095910
## [2020,] -0.470500381 -0.4795941109
## [2021,]  0.700720559  0.6996255624
## [2022,] -0.276816596 -0.2845875824
## [2023,] -0.234684084 -0.2421673310
## [2024,] -0.942132975 -0.9544476706
## [2025,]  1.158235617  1.1602651723
## [2026,] -0.100740428 -0.1073089201
## [2027,]  0.472764806  0.4701130086
## [2028,] -0.156078652 -0.1630250711
## [2029,]  0.472764806  0.4701130086
## [2030,]  0.189785250  0.1852008727
## [2031,] -0.800643197 -0.4509604412
## [2032,] -1.287996876 -1.0546892571
## [2033,] -0.464998001 -0.4740541527
## [2034,] -1.187381923 -1.2013715217
## [2035,]  0.551370238  0.5492552685
## [2036,] -0.423337122 -0.4321087549
## [2037,] -0.156078652 -0.1630250711
## [2038,] -0.942132975 -0.9544476706
## [2039,]  1.015142288  1.0161946023
## [2040,] -0.272414692 -0.2801556158
## [2041,]  0.064016558  0.0585732568
## [2042,] -0.737758851 -0.7486777947
## [2043,] -0.942132975 -0.9544476706
## [2044,] -1.099343839 -1.1127321905
## [2045,] -0.156078652 -0.1630250711
## [2046,] -0.784922110 -0.7961631507
## [2047,]  0.315553941  0.3118284887
## [2048,] -0.784922110 -0.7961631507
## [2049,] -0.549105813 -0.5587363708
## [2050,] -0.706316678 -0.7170208907
## [2051,]  2.297982942  2.3077962847
## [2052,] -0.085333763 -0.0917970371
## [2053,]  1.101608264  1.1032510882
## [2054,]  0.582812411  0.5809121725
## [2055,] -0.492509902 -0.5017539437
## [2056,] -0.835229587 -0.8468141971
## [2057,] -0.784922110 -0.7961631507
## [2058,] -1.649581865 -1.6099830098
## [2059,] -0.124636479 -0.1313681671
## [2060,] -0.344731690 -0.3529664950
## [2061,] -0.792782653 -0.8040773767
## [2062,] -1.519096847 -1.5353518587
## [2063,]  0.944397399  0.9449665683
## [2064,]  0.236948509  0.2326862287
## [2065,]  0.346996114  0.3434853926
## [2066,] -0.391894949 -0.4004518509
## [2067,]  1.573240857  1.5781046479
## [2068,]  0.629975670  0.6283975285
## [2069,]  1.494635425  1.4989623880
## [2070,]  1.494635425  1.4989623880
## [2071,]  1.335852452  1.3390950229
## [2072,] -1.281708442 -1.2963422336
## [2073,]  0.079737645  0.0744017088
## [2074,] -0.171799739 -0.1788535231
## [2075,] -0.124636479 -0.1313681671
## [2076,] -0.344731690 -0.3529664950
## [2077,]  0.346996114  0.3434853926
## [2078,] -0.391894949 -0.4004518509
## [2079,] -0.344731690 -0.3529664950
## [2080,] -1.075762209 -1.0889895125
## [2081,]  0.276251225  0.2722573587
## [2082,] -0.682735048 -0.6932782128
## [2083,]  0.001132212 -0.0047405512
## [2084,] -0.784922110 -0.7961631507
## [2085,] -0.162367087 -0.1693564519
## [2086,] -1.009733646 -1.0225100142
## [2087,] -0.784922110 -0.7961631507
## [2088,] -0.108915393 -0.1155397151
## [2089,] -0.863527542 -0.8753054107
## [2090,] -0.077473220 -0.0838828111
## [2091,] -0.313289517 -0.3213095910
## [2092,]  2.830927773  2.8443808072
## [2093,]  0.598533497  0.5967406245
## [2094,]  1.384587820  1.3881632240
## [2095,]  0.095458731  0.0902301608
## [2096,] -0.077473220 -0.0838828111
## [2097,] -0.690595591 -0.7011924388
## [2098,] -0.156078652  0.3475374764
## [2099,] -0.784922110 -0.4314756168
## [2100,]  2.316848246  2.3267904271
## [2101,]  0.758888579  0.7581908348
## [2102,]  1.873513608  1.8804280810
## [2103,] -0.292852104 -0.3007326034
## [2104,]  1.101608264  1.1032510882
## [2105,]  0.001132212 -0.0047405512
## [2106,] -1.413765568 -1.2104887100
## [2107,] -1.570976433 -1.4052419833
## [2108,]  1.620246906  1.6254317194
## [2109,]  0.192457834  0.1878917096
## [2110,]  1.730451722  1.7363891678
## [2111,]  1.337424560  1.3406778681
## [2112,]  0.857931424  0.8579100823
## [2113,] -0.121492262 -0.1282024767
## [2114,]  0.629975670  0.6283975285
## [2115,] -0.077473220 -0.0838828111
## [2116,]  0.988416441  0.9892862339
## [2117,] -0.602557507 -0.6125531076
## [2118,]  0.394159374  0.3909707486
## [2119,] -0.313289517 -0.3213095910
## [2120,]  0.701050702  0.6999579599
## [2121,]  0.423054730  0.4200634434
## [2122,]  0.787186535  0.7866820484
## [2123,]  0.315553941  0.3118284887
## [2124,]  0.657723388  0.6563347462
## [2125,] -0.246694994 -0.2542602683
## [2126,]  1.384587820  1.3881632240
## [2127,]  0.095458731  0.0902301608
## [2128,]  0.768321231  0.7676879060
## [2129,] -0.931128214 -0.9433677542
## [2130,]  0.076593427  0.0712360184
## [2131,] -1.157511859 -1.1712974629
## [2132,] -0.313289517 -0.3213095910
## [2133,] -0.549105813 -0.5587363708
## [2134,] -0.627711246 -0.6378786308
## [2135,] -1.256554704 -1.2710167104
## [2136,] -1.743908383 -1.7125197218
## [2137,]  2.359295180  2.3695272475
## [2138,]  0.787186535  0.7866820484
## [2139,]  0.079737645  0.0744017088
## [2140,] -0.234684084 -0.2421673310
## [2141,] -0.541245270 -0.5508221448
## [2142,] -1.201530901 -1.2156171285
## [2143,]  0.457043719  0.4542845566
## [2144,] -0.643432332 -0.6537070828
## [2145,]  0.472764806  0.4701130086
## [2146,] -0.156078652 -0.1630250711
## [2147,]  1.117329350  1.1190795402
## [2148,]  0.472764806  0.4701130086
## [2149,]  1.136194654  1.1380736826
## [2150,] -0.218962998 -0.2263388790
## [2151,]  1.966268018  1.9738159477
## [2152,]  0.315553941  0.3118284887
## [2153,]  1.310698713  1.3137694997
## [2154,]  0.087598188  0.0823159348
## [2155,]  1.136194654  1.1380736826
## [2156,] -0.218962998 -0.2263388790
## [2157,]  0.677138930  0.6758828845
## [2158,] -0.627711246 -0.6378786308
## [2159,]  2.453621698  2.4644979594
## [2160,]  0.472764806  0.4701130086
## [2161,]  0.988416441  0.9892862339
## [2162,] -0.547533705 -0.5571535256
## [2163,]  1.384587820  1.3881632240
## [2164,]  0.409880460  0.4067992006
## [2165,] -0.509803097 -0.5191652409
## [2166,] -0.993698138 -1.0063649931
## [2167,]  0.268390682  0.2643431327
## [2168,]  0.001132212 -0.0047405512
## [2169,] -0.942132975 -0.9544476706
## [2170,] -1.256554704 -1.2710167104
## [2171,]  0.988416441  0.9892862339
## [2172,] -0.602557507 -0.6125531076
## [2173,]  2.453621698  2.4644979594
## [2174,]  0.850070881  0.8499958564
## [2175,] -0.234684084 -0.2421673310
## [2176,] -0.627711246 -0.6378786308
## [2177,]  0.236948509  0.2326862287
## [2178,] -0.528668401 -0.5381593832
## [2179,]  0.787186535  0.7866820484
## [2180,]  0.394159374  0.3909707486
## [2181,]  0.551370238  0.5492552685
## [2182,] -1.105632274 -1.1190635713
## [2183,]  0.480845444  0.4782488329
## [2184,] -0.654311324 -0.6646603716
## [2185,]  0.787186535  0.7866820484
## [2186,]  0.001132212 -0.0047405512
## [2187,]  0.920029715  0.9204324677
## [2188,]  0.026285951  0.0205849720
## [2189,]  2.736601254  2.7494100953
## [2190,]  0.142621990  0.1377155168
## [2191,]  0.079737645  0.0744017088
## [2192,] -0.234684084 -0.2421673310
## [2193,]  1.152701795  1.1546935572
## [2194,]  0.099782030  0.0945829851
## [2195,]  1.101608264  1.1032510882
## [2196,]  0.158343077  0.1535439688
## [2197,]  0.284111768  0.2801715847
## [2198,] -0.313289517 -0.3213095910
## [2199,]  1.494635425  1.4989623880
## [2200,]  0.551370238  0.5492552685
## [2201,]  0.221227423  0.2168577767
## [2202,] -0.313289517 -0.3213095910
## [2203,] -1.295857420 -1.3105878404
## [2204,] -1.626000235 -1.6429853322
## [2205,]  1.887662586  1.8946736878
## [2206,]  1.293405518  1.2963582025
## [2207,] -1.728187297 -1.6954249937
## [2208,] -0.706316678 -0.7170208907
## [2209,] -1.130786012 -1.1443890945
## [2210,] -0.541245270 -0.5508221448
## [2211,] -1.201530901 -1.2156171285
## [2212,]  3.459771231  3.4775188868
## [2213,]  1.101608264  1.1032510882
## [2214,]  0.079737645  0.0744017088
## [2215,] -0.313289517 -0.3213095910
## [2216,]  0.444466850  0.4416217950
## [2217,] -0.549105813 -0.5587363708
## [2218,]  1.573240857  1.5781046479
## [2219,] -0.391894949 -0.4004518509
## [2220,]  0.850070881  0.8499958564
## [2221,]  0.001132212 -0.0047405512
## [2222,] -0.627711246 -0.6378786308
## [2223,] -0.863527542 -0.8753054107
## [2224,] -0.108915393 -0.1155397151
## [2225,] -0.863527542 -0.8753054107
## [2226,]  1.573240857  1.5781046479
## [2227,] -0.391894949 -0.4004518509
## [2228,]  2.044873451  2.0529582077
## [2229,]  1.416029993  1.4198201280
## [2230,] -0.621422811 -0.6315472500
## [2231,] -1.287996876 -1.3026736144
## [2232,]  1.038723918  1.0399372802
## [2233,]  0.535649152  0.5334268165
## [2234,]  0.661417843  0.6600544325
## [2235,]  0.221227423  0.2168577767
## [2236,]  1.101608264  1.1032510882
## [2237,]  0.158343077  0.1535439688
## [2238,]  1.180213696  1.1823933482
## [2239,]  0.101747166  0.0965615416
## [2240,]  2.316848246  2.3267904271
## [2241,]  0.758888579  0.7581908348
## [2242,]  0.661417843  0.6600544325
## [2243,]  0.221227423  0.2168577767
## [2244,]  0.284111768  0.2801715847
## [2245,] -0.596269073 -0.6062217268
## [2246,]  0.857931424  0.8579100823
## [2247,] -0.121492262 -0.1282024767
## [2248,]  1.627164184  1.6323962383
## [2249,]  0.988102020  0.9889696648
## [2250,]  0.629975670  0.6283975285
## [2251,]  0.032574385  0.0269163528
## [2252,]  1.821634023  1.8281941894
## [2253,]  0.244809052  0.2406004547
## [2254,]  0.677138930  0.6758828845
## [2255,] -0.250405171 -0.2579957830
## [2256,]  0.472764806  0.4701130086
## [2257,]  0.001132212 -0.0047405512
## [2258,] -0.459794321 -0.4688149351
## [2259,] -1.218682606 -1.2328859696
## [2260,]  0.472764806  0.4701130086
## [2261,] -0.160008924 -0.1669821841
## [2262,]  1.136194654  1.1380736826
## [2263,] -0.218962998 -0.2263388790
## [2264,]  1.636125203  1.6414184559
## [2265,]  0.787186535  0.7866820484
## [2266,]  1.730451722  1.7363891678
## [2267,]  0.661417843  0.6600544325
## [2268,]  1.923663874  1.9309208428
## [2269,]  0.305712541  0.3019198777
## [2270,]  0.708581102  0.7075397884
## [2271,]  0.857931424  0.8579100823
## [2272,] -0.121492262 -0.1282024767
## [2273,] -2.089772285 -2.1099246659
## [2274,]  0.496346435  0.4938556866
## [2275,] -0.593124855 -0.6030560364
## [2276,]  0.857931424  0.8579100823
## [2277,] -0.121492262 -0.1282024767
## [2278,]  0.472764806  0.4701130086
## [2279,]  0.189785250  0.1852008727
## [2280,]  0.001132212 -0.0047405512
## [2281,] -0.784922110 -0.7961631507
## [2282,]  1.581101400  1.5860188739
## [2283,]  0.262102247  0.2580117519
## [2284,]  1.533938141  1.5385335180
## [2285,]  0.350140331  0.3466510830
## [2286,]  1.533938141  1.5385335180
## [2287,]  0.350140331  0.3466510830
## [2288,]  1.153330638  1.1553266953
## [2289,] -0.292694893 -0.3005743189
## [2290,] -1.413765568 -1.6706376378
## [2291,] -1.806792729 -1.8250125301
## [2292,] -1.570976433 -1.5245251975
## [2293,]  1.205367434  1.2077188713
## [2294,] -0.154506544 -0.1614422259
## [2295,]  0.857931424  0.8579100823
## [2296,] -0.121492262 -0.1282024767
## [2297,]  1.101608264  1.1032510882
## [2298,] -0.156078652 -0.1630250711
## [2299,]  0.859503532  0.8594929275
## [2300,] -0.368313319 -0.3767091729
## [2301,] -0.219591841 -0.2269720171
## [2302,] -1.241462461 -1.2558213965
## [2303,] -0.332940875 -0.3410951560
## [2304,] -1.001087049 -1.0138043656
## [2305,] -0.942132975 -0.6262288901
## [2306,] -1.177949271 -0.9183588001
## [2307,] -0.297568430 -0.3054811390
## [2308,] -0.973575147 -0.9861045746
## [2309,]  0.552942347  0.5508381137
## [2310,] -0.261409931 -0.2690756994
## [2311,]  0.472764806  0.4701130086
## [2312,]  0.001132212 -0.0047405512
## [2313,] -0.942132975 -0.9544476706
## [2314,] -1.177949271 -1.1918744505
## [2315,] -0.313289517 -0.3213095910
## [2316,] -1.413765568 -1.2104887100
## [2317,] -1.570976433 -1.4052419833
## [2318,] -0.541245270 -0.5508221448
## [2319,] -1.201530901 -1.2156171285
## [2320,] -0.391894949 -0.4004518509
## [2321,] -1.020738407 -1.0335899306
## [2322,] -1.099343839 -1.1127321905
## [2323,] -1.256554704 -1.2710167104
## [2324,]  1.730451722  1.7363891678
## [2325,]  0.158343077  0.1535439688
## [2326,] -0.706316678 -0.7170208907
## [2327,] -1.099343839 -1.1127321905
## [2328,]  0.001132212 -0.0047405512
## [2329,] -0.863527542 -0.8753054107
## [2330,]  0.861861695  0.8618671953
## [2331,]  0.056942069  0.0514504534
## [2332,]  0.001132212 -0.0047405512
## [2333,] -0.470500381 -0.4795941109
## [2334,]  0.001132212 -0.0047405512
## [2335,] -0.627711246 -0.6378786308
## [2336,]  0.787186535  0.7866820484
## [2337,] -0.140357566 -0.1471966191
## [2338,]  1.258819128  1.2615356081
## [2339,]  0.394159374  0.3909707486
## [2340,]  0.001132212 -0.0047405512
## [2341,] -0.470500381 -0.4795941109
## [2342,]  0.906839724  0.9071523965
## [2343,] -0.346681104 -0.3549292230
## [2344,]  0.394159374  0.3909707486
## [2345,] -0.234684084 -0.2421673310
## [2346,] -0.784922110 -0.7961631507
## [2347,] -1.177949271 -1.1918744505
## [2348,]  0.315553941  0.3118284887
## [2349,] -0.085333763 -0.0917970371
## [2350,]  0.857931424  0.8579100823
## [2351,] -0.121492262 -0.1282024767
## [2352,]  1.657505881  1.6629451506
## [2353,]  0.988416441  0.9892862339
## [2354,]  0.315553941  0.3118284887
## [2355,] -0.784922110 -0.7961631507
## [2356,] -0.684307157 -0.6948610580
## [2357,] -1.071045883 -1.0842409769
## [2358,] -0.313289517 -0.3213095910
## [2359,] -1.270090559 -1.2846450076
## [2360,] -0.775002105 -0.7861753975
## [2361,] -1.091404690 -1.1047388223
## [2362,]  2.360945894  2.3711892349
## [2363,]  0.018268197  0.0125124615
## [2364,]  1.063877656  1.0652628034
## [2365,] -0.077473220 -0.0838828111
## [2366,] -1.335160136 -1.1131120734
## [2367,] -1.649581865 -1.5026186200
## [2368,] -0.329010603 -0.3371380430
## [2369,] -0.627711246 -0.6378786308
## [2370,]  0.551370238  0.5492552685
## [2371,] -1.570976433 -1.5875857502
## [2372,]  0.944397399  0.9449665683
## [2373,] -0.659153419 -0.6695355348
## [2374,] -1.099343839 -1.1127321905
## [2375,] -1.421626111 -1.4372154563
## [2376,]  1.573240857  1.5781046479
## [2377,]  0.369005635  0.3656452254
## [2378,]  1.023002831  1.0241088283
## [2379,]  0.048295472  0.0427448048
## [2380,]  0.331275028  0.9512662922
## [2381,] -0.470500381 -0.0419690702
## [2382,] -0.706316678 -0.7170208907
## [2383,] -1.177949271 -1.1918744505
## [2384,] -1.413765568 -1.4293012303
## [2385,] -1.508092087 -1.5242719423
## [2386,]  0.818628708  0.8183389524
## [2387,] -0.281847344 -0.2896526870
## [2388,]  0.565519216  0.5635008753
## [2389,] -0.324294277 -0.3323895074
## [2390,]  0.857931424  0.8579100823
## [2391,] -0.121492262 -0.1282024767
## [2392,] -1.413765568 -1.2104887100
## [2393,] -1.570976433 -1.4052419833
## [2394,]  2.610832563  2.6227824793
## [2395,]  0.818628708  0.8183389524
## [2396,] -1.319439049 -1.0936430774
## [2397,]  2.830927773  2.8443808072
## [2398,]  0.598533497  0.5967406245
## [2399,] -0.156078652 -0.1630250711
## [2400,] -0.627711246 -0.6378786308
## [2401,]  0.629975670  0.6283975285
## [2402,]  0.315553941  0.3118284887
## [2403,]  0.472764806  0.4701130086
## [2404,]  0.189785250  0.1852008727
## [2405,]  0.001132212 -0.0047405512
## [2406,] -0.391894949 -0.4004518509
## [2407,] -0.156078652 -0.1630250711
## [2408,] -0.706316678 -0.7170208907
## [2409,] -0.942132975 -0.9544476706
## [2410,] -1.209391444 -1.2235313545
## [2411,] -0.077473220 -0.0838828111
## [2412,] -0.549105813 -0.5587363708
## [2413,] -0.077473220 -0.0838828111
## [2414,] -0.313289517 -0.3213095910
## [2415,]  0.857931424  0.8579100823
## [2416,] -0.121492262 -0.1282024767
## [2417,]  0.001132212 -0.0047405512
## [2418,] -0.234684084 -0.2421673310
## [2419,]  1.533938141  1.5385335180
## [2420,]  0.350140331  0.3466510830
## [2421,]  2.823067230  2.8364665812
## [2422,]  1.881374152  1.8883423070
## [2423,]  1.180213696  1.1823933482
## [2424,]  0.101747166  0.0965615416
## [2425,]  0.629975670  0.6283975285
## [2426,]  0.315553941  0.3118284887
## [2427,]  0.565519216  0.5635008753
## [2428,] -0.324294277 -0.3323895074
## [2429,] -1.099343839 -1.1127321905
## [2430,] -1.256554704 -1.2710167104
## [2431,]  0.857931424  0.8579100823
## [2432,] -0.173371847 -0.1804363683
## [2433,]  0.857931424  0.8579100823
## [2434,] -0.121492262 -0.1282024767
## [2435,] -0.541245270 -0.5508221448
## [2436,] -1.201530901 -1.2156171285
## [2437,] -0.061752133 -0.0680543591
## [2438,] -0.832085369 -0.8436485067
## [2439,] -0.044458938 -0.0506430619
## [2440,] -0.931128214 -0.9433677542
## [2441,]  1.683288462  1.6889038119
## [2442,]  0.740023275  0.7391966924
## [2443,] -0.156078652 -0.1630250711
## [2444,] -0.470500381 -0.4795941109
## [2445,] -1.020738407 -1.0335899306
## [2446,] -1.115064926 -1.1285606425
## [2447,] -0.880522037 -0.8924159673
## [2448,] -1.540131661 -1.5565303274
## [2449,]  0.079737645  0.0744017088
## [2450,] -1.023882624 -1.0367556210
## [2451,]  1.581101400  1.5860188739
## [2452,]  0.262102247  0.2580117519
## [2453,] -0.627711246 -0.2367223435
## [2454,] -1.099343839 -0.8209821634
## [2455,]  0.386298830  0.3830565226
## [2456,] -0.580547986 -0.5903932748
## [2457,] -0.234684084 -0.2421673310
## [2458,] -0.942132975 -0.9544476706
## [2459,]  0.787186535  1.5160571161
## [2460,]  0.001132212  0.5422907497
## [2461,] -0.234684084 -0.2421673310
## [2462,] -0.942132975 -0.9544476706
## [2463,] -1.583553302 -1.5382009800
## [2464,] -1.866532858 -1.8458111160
## [2465,]  1.730451722  1.7363891678
## [2466,]  1.180213696  1.1823933482
## [2467,]  1.205367434  1.2077188713
## [2468,] -0.154506544 -0.1614422259
## [2469,]  0.859503532  0.8594929275
## [2470,] -0.368313319 -0.3767091729
## [2471,]  2.988138637  3.0026653271
## [2472,]  0.975839572  0.9766234723
## [2473,]  1.000993310  1.0019489955
## [2474,] -0.118348045 -0.1250367863
## [2475,]  0.057728124  0.0522418760
## [2476,] -0.678018722 -0.6885296772
## [2477,]  2.500784958  2.5119833154
## [2478,] -0.124636479 -0.1313681671
## [2479,] -0.391894949 -0.4004518509
## [2480,] -1.020738407 -1.0335899306
## [2481,]  1.205367434  1.2077188713
## [2482,] -0.154506544 -0.1614422259
## [2483,]  2.407244493  2.4178040261
## [2484,]  0.824131088  0.8238789106
## [2485,] -0.108915393 -0.1155397151
## [2486,] -0.863527542 -0.8753054107
## [2487,]  0.551370238  0.5492552685
## [2488,] -1.105632274 -1.1190635713
## [2489,]  0.911383118  0.9117268191
## [2490,]  0.133189338  0.1282184456
## [2491,]  2.407244493  2.4178040261
## [2492,]  0.824131088  0.8238789106
## [2493,]  3.695587528  3.7149456667
## [2494,]  0.787186535  0.7866820484
## [2495,]  1.436467405  1.4403971156
## [2496,]  0.975037797  0.9758162212
## [2497,] -0.549105813 -0.5587363708
## [2498,] -0.942132975 -0.9544476706
## [2499,]  0.350140331  0.3466510830
## [2500,] -0.294424213 -0.3023154486
## [2501,] -0.706316678 -0.7170208907
## [2502,] -1.256554704 -1.2710167104
## [2503,]  1.620404116  1.6255900039
## [2504,] -0.410760253 -0.4194459933
## [2505,]  1.416029993  1.4198201280
## [2506,] -0.116775936 -0.1234539411
## [2507,]  0.001132212 -1.8262154925
## [2508,]  2.830927773  2.8443808072
## [2509,]  0.850070881  0.8499958564
## [2510,]  0.472764806  0.4701130086
## [2511,]  0.158343077  0.1535439688
## [2512,]  0.686571581  0.6853799556
## [2513,] -0.300115246 -0.3080453482
## [2514,]  1.188074239  1.1903075742
## [2515,] -0.165511304 -0.1725221423
## [2516,] -0.108915393 -0.1155397151
## [2517,] -0.863527542 -0.8753054107
## [2518,]  2.801576505  2.8148290873
## [2519,]  1.082035511  1.0835446655
## [2520,]  1.586289359  1.5912422631
## [2521,] -0.103098591 -0.1096831879
## [2522,]  1.730451722  1.7363891678
## [2523,]  0.158343077  0.1535439688
## [2524,]  0.842210337  0.8420816304
## [2525,]  0.260530139  0.2564289067
## [2526,]  0.472764806  0.4701130086
## [2527,]  0.189785250  0.1852008727
## [2528,] -0.077473220 -0.0838828111
## [2529,] -0.549105813 -0.5587363708
## [2530,]  0.479053240  0.4764443894
## [2531,] -0.174943956 -0.1820192135
## [2532,] -0.024807580 -0.0308574969
## [2533,] -0.983007799 -0.9956016458
## [2534,] -0.981435691 -0.9940188006
## [2535,] -1.374462852 -1.3897301004
## [2536,]  0.119826415  0.1147642614
## [2537,] -0.711819058 -0.7225608489
## [2538,] -0.541245270 -0.5508221448
## [2539,] -1.201530901 -1.2156171285
## [2540,]  2.500784958  2.5119833154
## [2541,] -0.124636479 -0.1313681671
## [2542,] -0.163939195 -0.1709392971
## [2543,] -0.492902929 -0.5021496550
## [2544,] -0.326652440 -0.3347637752
## [2545,] -0.810075848 -0.8214886739
## [2546,]  0.669278386  0.6679686585
## [2547,] -0.156078652 -0.1630250711
## [2548,] -1.492371000 -1.3078653467
## [2549,] -1.492371000 -1.3078653467
## [2550,] -0.816207072 -0.8276617702
## [2551,] -1.306469153 -1.3212720455
## [2552,] -0.077473220 -0.0838828111
## [2553,] -0.313289517 -0.3213095910
## [2554,] -0.863527542 -0.8753054107
## [2555,] -1.099343839 -1.1127321905
## [2556,]  0.857931424  0.8579100823
## [2557,] -0.121492262 -0.1282024767
## [2558,] -0.470500381 -0.4795941109
## [2559,] -0.784922110 -0.7961631507
## [2560,]  0.629975670  0.6283975285
## [2561,]  0.315553941  0.3118284887
## [2562,]  0.079737645  0.0744017088
## [2563,] -0.313289517 -0.3213095910
## [2564,] -0.541245270 -0.5508221448
## [2565,] -1.201530901 -1.2156171285
## [2566,]  0.857931424  0.8579100823
## [2567,] -0.121492262 -0.1282024767
## [2568,]  0.315553941  0.3118284887
## [2569,] -0.470500381 -0.4795941109
## [2570,]  1.243098042  1.2457071561
## [2571,] -0.297568430 -0.3054811390
## [2572,] -1.020738407 -0.7236055268
## [2573,] -1.177949271 -0.9183588001
## [2574,]  0.661417843  0.6600544325
## [2575,]  0.221227423  0.2168577767
## [2576,]  0.496346435  0.4938556866
## [2577,] -0.593124855 -0.6030560364
## [2578,]  1.161348392  1.1633992058
## [2579,]  0.348568223  0.3450682378
## [2580,]  1.711586418  1.7173950255
## [2581,]  0.774609666  0.7740192868
## [2582,]  0.551370238  0.5492552685
## [2583,] -0.030309961 -0.0363974551
## [2584,]  0.686571581  0.6853799556
## [2585,] -0.475216707 -0.4843426465
## [2586,]  0.405950188  0.4028420876
## [2587,] -0.207297952 -0.2145941676
## [2588,]  1.689576897  1.6952351927
## [2589,]  0.684999473  0.6837971104
## [2590,]  1.240834205  1.2434278590
## [2591,] -0.084704920 -0.0911638990
## [2592,]  0.315553941  0.3118284887
## [2593,] -0.156078652 -0.1630250711
## [2594,]  0.079737645  0.0744017088
## [2595,] -0.391894949 -0.4004518509
## [2596,]  0.315553941  0.3118284887
## [2597,] -0.156078652 -0.1630250711
## [2598,]  0.010564864  0.0047565200
## [2599,] -0.462639838 -0.4716798849
## [2600,]  0.409880460  0.4067992006
## [2601,]  0.032574385  0.0269163528
## [2602,]  0.787186535  0.7866820484
## [2603,] -0.541245270 -0.5508221448
## [2604,] -1.201530901 -1.2156171285
## [2605,] -0.627711246 -0.2367223435
## [2606,] -1.099343839 -0.8209821634
## [2607,]  1.180213696  1.1823933482
## [2608,]  0.358912698  0.3554833593
## [2609,] -1.256554704 -1.0157354367
## [2610,] -1.492371000 -1.3078653467
## [2611,] -0.627711246 -0.6378786308
## [2612,] -1.020738407 -1.0335899306
## [2613,] -1.696745124 -1.5610572647
## [2614,] -1.806792729 -1.6973718933
## [2615,]  1.494635425  1.4989623880
## [2616,]  0.708455334  0.7074131608
## [2617,] -0.156078652 -0.1630250711
## [2618,] -0.784922110 -0.7961631507
## [2619,]  1.004137528  1.0051146859
## [2620,]  0.477481132  0.4748615442
## [2621,] -0.077473220 -0.0838828111
## [2622,] -0.942132975 -0.9544476706
## [2623,]  3.546237206  3.5645753728
## [2624,]  1.577957183  1.5828531835
## [2625,]  1.581101400  1.5860188739
## [2626,]  0.262102247  0.2580117519
## [2627,]  1.766122867  1.7723039254
## [2628,]  1.271348834  1.2741508844
## [2629,] -0.044458938 -0.0506430619
## [2630,] -0.931128214 -0.9433677542
## [2631,]  0.551370238  0.5492552685
## [2632,] -0.077473220 -0.0838828111
## [2633,] -0.784922110 -0.4314756168
## [2634,] -1.177949271 -0.9183588001
## [2635,] -1.099343839 -0.8209821634
## [2636,] -1.559185618 -1.3906481506
## [2637,] -0.549105813 -0.5587363708
## [2638,] -0.942132975 -0.9544476706
## [2639,]  0.708581102  0.7075397884
## [2640,] -1.201530901 -1.2156171285
## [2641,]  0.079737645  0.0744017088
## [2642,] -1.023882624 -1.0367556210
## [2643,]  0.551370238  0.5492552685
## [2644,] -0.077473220 -0.0838828111
## [2645,]  0.141049882  0.1361326716
## [2646,] -0.275558909 -0.2833213062
## [2647,] -0.156078652 -0.1630250711
## [2648,] -0.313289517 -0.3213095910
## [2649,] -0.784922110 -0.7961631507
## [2650,]  0.218083205  0.2136920863
## [2651,] -0.376173862 -0.3846233989
## [2652,]  1.180213696  1.1823933482
## [2653,] -0.596787869 -0.6067440657
## [2654,]  0.875224619  0.8753213795
## [2655,] -0.695311917 -0.7059409744
## [2656,] -0.541245270 -0.5508221448
## [2657,] -1.201530901 -1.2156171285
## [2658,] -0.722037764 -0.7328493427
## [2659,] -0.973575147 -0.9861045746
## [2660,]  1.039148387  1.0403646484
## [2661,] -0.768760833 -0.7798915021
## [2662,] -1.649581865 -1.6099830098
## [2663,] -1.791071643 -1.7637880778
## [2664,]  2.507073392  2.5183146962
## [2665,]  0.144194099  0.1392983620
## [2666,] -0.124636479 -0.1313681671
## [2667,] -0.344731690 -0.3529664950
## [2668,]  0.383940667  0.3806822548
## [2669,] -0.363596993 -0.3719606373
## [2670,]  1.205367434  1.2077188713
## [2671,] -0.154506544 -0.1614422259
## [2672,]  0.472764806  0.4701130086
## [2673,]  0.189785250  0.1852008727
## [2674,]  1.761893895  1.7680460718
## [2675,]  0.567091324  0.5650837205
## [2676,]  0.551370238  0.5492552685
## [2677,] -1.105632274 -1.1190635713
## [2678,] -0.329010603 -0.3371380430
## [2679,] -0.863527542 -0.8753054107
## [2680,]  0.394159374  0.3909707486
## [2681,] -0.470500381 -0.4795941109
## [2682,] -1.177949271 -0.9183588001
## [2683,] -1.492371000 -1.3078653467
## [2684,] -1.924700878 -1.9090457817
## [2685,] -0.313289517 -0.3213095910
## [2686,] -0.706316678 -0.7170208907
## [2687,]  1.293405518  1.2963582025
## [2688,] -0.486221468 -0.4954225629
## [2689,]  1.856220413  1.8630167838
## [2690,] -0.195381368 -0.2025962010
## [2691,]  0.053011798  0.0474933404
## [2692,] -0.718201819 -0.7289872004
## [2693,]  1.038723918  1.0399372802
## [2694,]  0.535649152  0.5334268165
## [2695,]  0.629975670  0.6283975285
## [2696,] -0.077473220 -0.0838828111
## [2697,]  0.079737645  0.0744017088
## [2698,] -0.234684084 -0.2421673310
## [2699,]  1.195934782  1.1982218002
## [2700,]  0.158343077  0.1535439688
## [2701,] -1.099343839 -1.1127321905
## [2702,] -1.256554704 -1.2710167104
## [2703,]  0.768321231  0.7676879060
## [2704,] -0.429625556 -0.4384401357
## [2705,]  1.258819128  1.2615356081
## [2706,]  0.724302189  0.7233682404
## [2707,]  0.496346435  0.4938556866
## [2708,] -0.360452776 -0.3687949469
## [2709,]  0.944397399  0.9449665683
## [2710,] -0.470500381 -0.4795941109
## [2711,]  3.695587528  3.7149456667
## [2712,]  1.494635425  1.4989623880
## [2713,]  1.180213696  1.1823933482
## [2714,]  0.394159374  0.3909707486
## [2715,] -0.022449417 -0.6375778902
## [2716,] -0.517663640 -1.0069664743
## [2717,] -0.287349724 -0.2951926452
## [2718,] -0.701285930 -0.7119557861
## [2719,]  0.944397399  0.9449665683
## [2720,]  0.029430168  0.0237506624
## [2721,] -0.038170504 -0.0443116811
## [2722,] -0.588408529 -0.5983075008
## [2723,]  1.416029993  1.4198201280
## [2724,]  0.208650553  0.2041950151
## [2725,] -0.247260954 -0.2548300926
## [2726,] -0.734614633 -0.7455121043
## [2727,] -1.335160136 -1.3501589704
## [2728,] -1.492371000 -1.5084434903
## [2729,]  1.321703474  1.3248494161
## [2730,]  0.409880460  0.4067992006
## [2731,]  0.243236944  0.2390176095
## [2732,] -0.355736450 -0.3640464113
## [2733,]  0.479053240  0.4764443894
## [2734,] -0.174943956 -0.1820192135
## [2735,] -0.784922110 -0.6700420452
## [2736,] -1.879266938 -1.8596610115
## [2737,]  0.565519216  0.5635008753
## [2738,] -0.324294277 -0.3323895074
## [2739,] -0.541245270 -0.5508221448
## [2740,] -1.201530901 -1.2156171285
## [2741,] -0.077473220 -0.0838828111
## [2742,] -0.234684084 -0.2421673310
## [2743,] -0.362024885 -0.3703777921
## [2744,] -1.132358121 -1.1459719397
## [2745,] -1.020738407 -1.0335899306
## [2746,] -1.177949271 -1.1918744505
## [2747,] -0.942132975 -0.6262288901
## [2748,] -1.177949271 -0.9183588001
## [2749,]  2.830927773  2.8443808072
## [2750,]  0.850070881  0.8499958564
## [2751,]  0.299832855  0.2960000367
## [2752,] -0.618278594 -0.6283815596
## [2753,] -0.541245270 -0.5508221448
## [2754,] -1.201530901 -1.2156171285
## [2755,]  0.284111768  0.2801715847
## [2756,] -0.313289517 -0.3213095910
## [2757,]  1.188074239  1.1903075742
## [2758,] -0.165511304 -0.1725221423
## [2759,]  0.001132212 -0.0047405512
## [2760,] -0.156078652 -0.1630250711
## [2761,]  1.195934782  1.1982218002
## [2762,]  0.189785250  0.1852008727
## [2763,]  0.787186535  0.7866820484
## [2764,]  0.001132212 -0.0047405512
## [2765,]  0.708581102  0.7075397884
## [2766,]  0.158343077  0.1535439688
## [2767,]  0.064016558  0.0585732568
## [2768,] -1.067901666 -1.0810752865
## [2769,]  0.158343077  0.1535439688
## [2770,] -0.077473220 -0.0838828111
## [2771,]  1.406597341  1.4103230568
## [2772,] -0.206386129 -0.2136761174
## [2773,]  2.823067230  2.8364665812
## [2774,]  1.881374152  1.8883423070
## [2775,] -0.470500381 -0.4795941109
## [2776,] -0.784922110 -0.7961631507
## [2777,]  0.857931424  0.8579100823
## [2778,] -0.121492262 -0.1282024767
## [2779,]  1.258819128  1.2615356081
## [2780,]  0.472764806  0.4701130086
## [2781,]  0.221227423  0.2168577767
## [2782,] -0.313289517 -0.3213095910
## [2783,]  0.299832855  0.2960000367
## [2784,] -0.926411888 -0.9386192186
## [2785,]  2.725596494  2.7383301789
## [2786,]  0.546653912  0.5445067329
## [2787,] -0.077473220 -0.0838828111
## [2788,] -0.313289517 -0.3213095910
## [2789,]  0.315553941  0.3118284887
## [2790,] -0.470500381 -0.4795941109
## [2791,]  0.944397399  0.9449665683
## [2792,] -0.218962998 -0.2263388790
## [2793,]  0.335205299  0.3316140537
## [2794,] -0.568757171 -0.5785219358
## [2795,] -0.218962998 -0.2263388790
## [2796,] -0.722037764 -0.7328493427
## [2797,]  0.708581102  0.7075397884
## [2798,] -0.124636479 -0.1313681671
## [2799,]  0.565519216  0.5635008753
## [2800,] -0.324294277 -0.3323895074
## [2801,]  0.694432125  0.6932941816
## [2802,]  0.037290711  0.0316648884
## [2803,]  0.629975670  0.6283975285
## [2804,] -0.470500381 -0.4795941109
## [2805,]  1.416029993  1.4198201280
## [2806,]  0.115110089  0.1100157258
## [2807,]  0.975839572  0.9766234723
## [2808,]  0.315553941  0.3118284887
## [2809,]  0.699148451  0.6980427172
## [2810,] -0.278828895 -0.2866136242
## [2811,]  0.857931424  0.8579100823
## [2812,] -0.121492262 -0.1282024767
## [2813,]  0.378438287  0.3751422966
## [2814,] -0.250405171 -0.2579957830
## [2815,] -1.791071643 -1.7637880778
## [2816,]  0.032574385  0.0269163528
## [2817,] -0.082189546 -0.0886313467
## [2818,] -1.012877864 -1.0256757046
## [2819,] -0.541245270 -0.5508221448
## [2820,] -1.201530901 -1.2156171285
## [2821,] -1.583553302 -1.5382009800
## [2822,] -1.791071643 -1.7637880778
## [2823,]  0.787186535  0.7866820484
## [2824,]  0.158343077  0.1535439688
## [2825,] -1.295857420 -1.3105878404
## [2826,] -1.626000235 -1.6429853322
## [2827,]  1.821634023  1.8281941894
## [2828,]  0.428745764  0.4257933430
## [2829,]  1.133050437  1.1349079922
## [2830,] -0.534642414 -0.5441741950
## [2831,]  1.573240857  1.5781046479
## [2832,]  0.629975670  0.6283975285
## [2833,] -1.413765568 -1.3536254014
## [2834,]  2.112631333  2.1211788357
## [2835,]  0.049710369  0.0441693655
## [2836,]  2.736601254  2.7494100953
## [2837,]  0.142621990  0.1377155168
## [2838,]  0.857931424  0.8579100823
## [2839,] -0.121492262 -0.1282024767
## [2840,]  2.500784958  2.5119833154
## [2841,] -0.124636479 -0.1313681671
## [2842,]  1.530793924  1.5353678276
## [2843,] -0.160794978 -0.1677736067
## [2844,] -0.863527542 -0.8753054107
## [2845,] -1.099343839 -1.1127321905
## [2846,] -0.305428973 -0.3133953650
## [2847,] -0.611990159 -0.6220501788
## [2848,]  0.994862087  0.9957758992
## [2849,] -0.746656986 -0.7576366986
## [2850,]  0.787186535  0.7866820484
## [2851,] -0.156078652 -0.1630250711
## [2852,]  1.205367434  1.2077188713
## [2853,] -0.154506544 -0.1614422259
## [2854,]  1.180213696  1.1823933482
## [2855,]  0.101747166  0.0965615416
## [2856,]  1.573240857  1.5781046479
## [2857,]  0.409880460  0.4067992006
## [2858,] -1.099343839 -1.1127321905
## [2859,]  1.312270822  1.3153523449
## [2860,] -0.072756894 -0.0791342755
## [2861,]  1.541798684  1.5464477440
## [2862,] -0.014588874 -0.0205690031
## [2863,]  0.102533220  0.0973529642
## [2864,] -0.483077250 -0.4922568725
## [2865,] -0.541245270 -0.5508221448
## [2866,] -1.201530901 -1.2156171285
## [2867,]  0.551370238  0.5492552685
## [2868,] -0.466570110 -0.4756369979
## [2869,]  1.038723918  1.0399372802
## [2870,]  0.535649152  0.5334268165
## [2871,]  2.359295180  2.3695272475
## [2872,]  0.787186535  0.7866820484
## [2873,]  1.258819128  1.2615356081
## [2874,]  0.724302189  0.7233682404
## [2875,]  0.661417843  0.6600544325
## [2876,]  0.221227423  0.2168577767
## [2877,]  1.180213696  1.1823933482
## [2878,]  0.043579146  0.0379962692
## [2879,]  0.661417843  0.6600544325
## [2880,]  0.221227423  0.2168577767
## [2881,] -0.541245270 -0.5508221448
## [2882,] -1.201530901 -1.2156171285
## [2883,] -1.413765568 -1.3536254014
## [2884,]  0.158343077  0.1535439688
## [2885,] -0.156078652 -0.1630250711
## [2886,] -0.169410133 -0.1764475984
## [2887,] -1.060795735 -1.0739208262
## [2888,]  0.857931424  0.8579100823
## [2889,] -0.121492262 -0.1282024767
## [2890,] -1.020738407 -1.0335899306
## [2891,] -1.335160136 -1.3501589704
## [2892,] -0.171799739 -0.1788535231
## [2893,] -1.009733646 -1.0225100142
## [2894,]  1.543370793  1.5480305892
## [2895,] -0.063324242 -0.0696372043
## [2896,]  0.787186535  0.7866820484
## [2897,] -0.077473220 -0.0838828111
## [2898,]  1.258819128  1.2615356081
## [2899,]  0.535649152  0.5334268165
## [2900,]  1.879802043  1.8867594618
## [2901,]  0.262102247  0.2580117519
## [2902,]  2.288550291  2.2982992135
## [2903,]  0.240092726  0.2358519191
## [2904,]  1.205367434  1.2077188713
## [2905,] -0.154506544 -0.1614422259
## [2906,]  1.337424560  1.3406778681
## [2907,] -0.234684084 -0.2421673310
## [2908,] -0.627711246 -0.6378786308
## [2909,] -1.177949271 -1.1918744505
## [2910,]  0.472764806  0.4701130086
## [2911,] -0.093194306 -0.0997112631
## [2912,] -1.728187297 -1.5999952566
## [2913,] -1.806792729 -1.6973718933
## [2914,] -1.335160136 -1.3501589704
## [2915,] -1.492371000 -1.5084434903
## [2916,]  0.168829041  0.1641015462
## [2917,] -0.313289517 -0.3213095910
## [2918,] -0.149790218 -1.9426495853
## [2919,]  0.299832855  0.2960000367
## [2920,] -0.618278594 -0.6283815596
## [2921,]  1.188074239  1.1903075742
## [2922,] -0.165511304 -0.1725221423
## [2923,]  2.425323743  2.4360067458
## [2924,]  0.375294070  0.3719766062
## [2925,]  0.657723388  0.6563347462
## [2926,] -0.245280097 -0.2528357077
## [2927,]  0.362717201  0.3593138446
## [2928,]  0.158343077  0.1535439688
## [2929,]  1.705046446  1.7108103894
## [2930,]  0.049867580  0.0443276500
## [2931,] -0.234684084 -0.2421673310
## [2932,] -1.256554704 -1.2710167104
## [2933,]  0.284111768  0.2801715847
## [2934,] -0.313289517 -0.3213095910
## [2935,] -0.058607916 -0.0648886687
## [2936,] -0.518292484 -0.5277126049
## [2937,]  1.206939543  1.2093017165
## [2938,] -0.261409931 -0.2690756994
## [2939,]  3.459771231  3.4775188868
## [2940,]  1.494635425  1.4989623880
## [2941,]  0.920029715  0.9204324677
## [2942,]  0.026285951  0.0205849720
## [2943,] -0.602557507 -0.6125531076
## [2944,] -1.225112531 -1.2393598064
## [2945,]  3.289511865  3.3060967518
## [2946,]  2.288393080  2.2981409290
## [2947,] -0.942132975 -0.9544476706
## [2948,] -0.942132975 -0.9544476706
## [2949,] -1.036459493 -1.0494183826
## [2950,] -0.627711246 -0.6378786308
## [2951,] -0.942132975 -0.9544476706
## [2952,] -0.627711246 -0.6378786308
## [2953,] -1.256554704 -1.2710167104
## [2954,] -1.649581865 -1.6099830098
## [2955,] -1.791071643 -1.7637880778
## [2956,] -0.942132975 -0.9544476706
## [2957,] -1.177949271 -1.1918744505
## [2958,]  1.620404116  1.6255900039
## [2959,]  0.189785250  0.1852008727
## [2960,] -0.549105813 -0.5587363708
## [2961,] -1.020738407 -1.0335899306
## [2962,]  0.221227423  0.2168577767
## [2963,] -0.313289517 -0.3213095910
## [2964,]  3.289511865  3.3060967518
## [2965,]  2.288393080  2.2981409290
## [2966,] -0.063324242 -0.0696372043
## [2967,] -0.343159581 -0.3513836498
## [2968,] -0.360452776 -0.3687949469
## [2969,] -0.863527542 -0.8753054107
## [2970,] -0.869815977 -0.8816367915
## [2971,] -1.005017320 -1.0177614786
## [2972,] -1.225112531 -1.2393598064
## [2973,] -1.413765568 -1.4293012303
## [2974,] -0.218962998 -0.2263388790
## [2975,] -0.722037764 -0.7328493427
## [2976,]  2.725596494  2.7383301789
## [2977,]  0.546653912  0.5445067329
## [2978,]  0.001132212 -0.0047405512
## [2979,] -0.760240004 -0.7713124811
## [2980,]  1.533938141  1.5385335180
## [2981,]  0.350140331  0.3466510830
## [2982,]  0.768321231  0.7676879060
## [2983,] -0.429625556 -0.4384401357
## [2984,]  0.372935907  0.3696023384
## [2985,] -0.566399008 -0.5761476680
## [2986,]  0.551370238  0.5492552685
## [2987,] -0.376173862 -0.3846233989
## [2988,] -0.163939195 -0.1709392971
## [2989,] -0.627711246 -0.6378786308
## [2990,]  0.158343077  0.1535439688
## [2991,] -0.313289517 -0.3213095910
## [2992,]  2.044873451  2.0529582077
## [2993,]  0.787186535  0.7866820484
## [2994,] -0.784922110 -0.4314756168
## [2995,] -1.413765568 -1.2104887100
## [2996,]  1.543370793  1.5480305892
## [2997,] -0.063324242 -0.0696372043
## [2998,]  1.101608264  1.1032510882
## [2999,]  0.394159374  0.3909707486
## [3000,]  0.394159374  0.3909707486
## [3001,]  0.001132212 -0.0047405512
## [3002,] -0.077473220 -0.0838828111
## [3003,] -0.313289517 -0.3213095910
## [3004,] -0.541245270 -0.5508221448
## [3005,] -1.201530901 -1.2156171285
## [3006,]  0.001132212 -0.0047405512
## [3007,] -0.234684084 -0.2421673310
## [3008,]  0.001132212 -0.0047405512
## [3009,] -1.020738407 -1.0335899306
## [3010,]  0.944397399  0.9449665683
## [3011,]  0.315553941  0.3118284887
## [3012,]  0.158343077  0.1535439688
## [3013,] -0.659153419 -0.6695355348
## [3014,] -0.549105813 -0.5587363708
## [3015,] -0.627711246 -0.6378786308
## [3016,]  1.101608264  1.1032510882
## [3017,]  0.551370238  0.5492552685
## [3018,]  0.512067522  0.5096841386
## [3019,] -0.234684084 -0.2421673310
## [3020,]  0.920815770  0.9212238903
## [3021,]  0.236948509  0.2326862287
## [3022,] -1.806792729 -1.8250125301
## [3023,] -0.061752133 -0.0680543591
## [3024,] -0.879248629 -0.8911338626
## [3025,]  1.180213696  1.1823933482
## [3026,]  0.101747166  0.0965615416
## [3027,]  2.359295180  2.3695272475
## [3028,] -0.926411888 -0.9386192186
## [3029,] -1.005017320 -1.0177614786
## [3030,]  0.873652510  0.8737385343
## [3031,] -0.273986801 -0.2817384610
## [3032,] -0.541245270 -0.5508221448
## [3033,] -1.201530901 -1.2156171285
## [3034,]  0.472764806  0.4701130086
## [3035,]  0.857931424  0.8579100823
## [3036,] -0.121492262 -0.1282024767
## [3037,] -0.820294555 -0.8317771677
## [3038,] -1.177949271 -1.1918744505
## [3039,]  1.620246906  1.6254317194
## [3040,]  0.192457834  0.1878917096
## [3041,]  1.038723918  1.0399372802
## [3042,]  0.535649152  0.5334268165
## [3043,]  0.315553941  0.3118284887
## [3044,] -0.470500381 -0.4795941109
## [3045,] -0.262982040 -0.2706585446
## [3046,] -1.036459493 -1.0494183826
## [3047,] -1.177949271 -1.1918744505
## [3048,] -1.295857420 -1.3105878404
## [3049,] -1.256554704 -1.0157354367
## [3050,] -1.570976433 -1.4052419833
## [3051,]  2.359295180  2.3695272475
## [3052,]  0.158343077  0.1535439688
## [3053,] -0.124636479 -0.1313681671
## [3054,] -0.344731690 -0.3529664950
## [3055,]  0.158343077  0.1535439688
## [3056,] -0.156078652 -0.1630250711
## [3057,]  1.809057154  1.8155314278
## [3058,]  0.048295472  0.0427448048
## [3059,] -0.108915393 -0.1155397151
## [3060,] -0.371819122 -0.3802389177
## [3061,]  1.258819128  1.2615356081
## [3062,]  0.048295472  0.0427448048
## [3063,]  1.172353153  1.1744791222
## [3064,] -0.362024885 -0.3703777921
## [3065,] -0.541245270 -0.5508221448
## [3066,] -1.201530901 -1.2156171285
## [3067,] -0.077473220 -0.0838828111
## [3068,] -0.549105813 -0.5587363708
## [3069,]  1.222660629  1.2251301685
## [3070,]  0.077159386  0.0718058427
## [3071,] -0.156078652 -0.1630250711
## [3072,] -0.376173862 -0.3846233989
## [3073,]  0.236948509  0.2326862287
## [3074,] -0.360452776 -0.3687949469
## [3075,]  0.928676313  0.9291381163
## [3076,] -0.588408529 -0.5983075008
## [3077,] -0.156078652 -0.1630250711
## [3078,] -0.627711246 -0.6378786308
## [3079,]  0.565519216  0.5635008753
## [3080,] -0.324294277 -0.3323895074
## [3081,]  3.459771231  3.4775188868
## [3082,]  2.359295180  2.3695272475
## [3083,] -0.218962998 -0.2263388790
## [3084,] -0.722037764 -0.7328493427
## [3085,]  1.007281745  1.0082803763
## [3086,]  0.064016558  0.0585732568
## [3087,]  0.865791967  0.8658243083
## [3088,]  0.119040361  0.1139728388
## [3089,]  1.651846289  1.6572469079
## [3090,]  0.441322633  0.4384561046
## [3091,]  0.079737645  0.0744017088
## [3092,] -0.638983265 -0.6492276309
## [3093,]  0.614254584  0.6125690765
## [3094,] -0.203241912 -0.2105104270
## [3095,] -0.470500381 -0.4795941109
## [3096,] -0.627711246 -0.6378786308
## [3097,]  0.857931424  0.8579100823
## [3098,] -0.121492262 -0.1282024767
## [3099,] -0.784922110 -0.7961631507
## [3100,] -1.177949271 -1.1918744505
## [3101,]  0.496346435  0.4938556866
## [3102,] -0.593124855 -0.6030560364
## [3103,] -1.728187297 -1.5999952566
## [3104,] -1.806792729 -1.6973718933
## [3105,]  0.323414485  0.3197427147
## [3106,] -0.492902929 -0.5021496550
## [3107,] -0.313289517 -0.3213095910
## [3108,] -0.784922110 -0.7961631507
## [3109,] -0.894969715 -0.8323786489
## [3110,] -1.993873658 -1.9842467571
## [3111,]  0.350140331  0.3466510830
## [3112,] -0.294424213 -0.3023154486
## [3113,]  0.071877101  0.0664874828
## [3114,] -0.292459077 -0.3003368921
## [3115,] -0.621422811 -0.6315472500
## [3116,] -1.287996876 -1.3026736144
## [3117,] -0.541245270 -0.5508221448
## [3118,] -1.201530901 -1.2156171285
## [3119,] -0.156078652 -0.1630250711
## [3120,] -0.784922110 -0.7961631507
## [3121,]  0.661417843  0.6600544325
## [3122,] -0.183747764 -0.1908831466
## [3123,]  1.180213696  1.1823933482
## [3124,]  0.629975670  0.6283975285
## [3125,]  0.905094683  0.9053954383
## [3126,]  0.361145092  0.3577309994
## [3127,] -0.234684084 -0.2421673310
## [3128,] -1.256554704 -1.2710167104
## [3129,]  1.636125203  1.6414184559
## [3130,]  0.551370238  0.5492552685
## [3131,]  0.189785250  0.1852008727
## [3132,] -0.611990159 -0.6220501788
## [3133,]  1.180213696  1.1823933482
## [3134,]  0.101747166  0.0965615416
## [3135,] -0.044458938 -0.0506430619
## [3136,] -0.931128214 -0.9433677542
## [3137,] -0.942132975 -0.9544476706
## [3138,] -1.256554704 -1.2710167104
## [3139,]  0.290400203  0.2865029655
## [3140,] -0.703172461 -0.7138552003
## [3141,]  1.368866733  1.3723347721
## [3142,]  0.317314703  0.3136012753
## [3143,] -1.979724680 -1.9688615018
## [3144,] -0.391894949 -0.2428004691
## [3145,]  0.079737645  0.0744017088
## [3146,] -0.313289517 -0.3213095910
## [3147,] -0.706316678 -0.7170208907
## [3148,] -1.256554704 -1.2710167104
## [3149,] -0.156078652 -0.1630250711
## [3150,] -0.470500381 -0.4795941109
## [3151,] -0.549105813 -0.5587363708
## [3152,] -1.020738407 -1.0335899306
## [3153,]  1.730451722  1.7363891678
## [3154,]  1.321703474  1.3248494161
## [3155,]  0.857931424  0.8579100823
## [3156,] -0.121492262 -0.1282024767
## [3157,]  2.830927773  2.8443808072
## [3158,]  0.850070881  0.8499958564
## [3159,]  0.472764806  0.4701130086
## [3160,]  0.236948509  0.2326862287
## [3161,]  0.565519216  0.5635008753
## [3162,]  0.273264219  0.2692499528
## [3163,] -0.869815977 -0.8816367915
## [3164,] -1.005017320 -1.0177614786
## [3165,]  2.316848246  2.3267904271
## [3166,]  0.758888579  0.7581908348
## [3167,]  0.268390682  0.2643431327
## [3168,]  0.001132212 -0.0047405512
## [3169,] -0.454779295 -0.4637656589
## [3170,] -0.760240004 -0.7713124811
## [3171,]  0.394159374  0.3909707486
## [3172,] -0.391894949 -0.4004518509
## [3173,]  2.752322341  2.7652385473
## [3174,]  0.331275028  0.3276569407
## [3175,]  0.472764806  0.4701130086
## [3176,] -0.203241912 -0.2105104270
## [3177,]  1.809057154  1.8155314278
## [3178,]  0.346996114  0.3434853926
## [3179,]  0.092471725  0.0872227549
## [3180,] -0.679276409 -0.6897959533
## [3181,]  0.170919946  0.1662067303
## [3182,] -0.278703126 -0.2864869966
## [3183,] -0.266126257 -0.2738242350
## [3184,] -0.580547986 -0.5903932748
## [3185,] -0.706316678 -0.7170208907
## [3186,] -1.177949271 -1.1918744505
## [3187,]  0.919243661  0.9196410451
## [3188,] -0.171799739 -0.1788535231
## [3189,]  0.119826415  0.1147642614
## [3190,] -0.711819058 -0.7225608489
## [3191,]  1.423890536  1.4277343540
## [3192,] -0.412332361 -0.4210288385
## [3193,]  0.875224619  0.8753213795
## [3194,] -0.695311917 -0.7059409744
## [3195,] -1.130786012 -1.1443890945
## [3196,] -0.454779295 -0.4637656589
## [3197,] -1.130786012 -1.1443890945
## [3198,] -1.011305755 -1.0240928594
## [3199,] -1.588033811 -1.6047596207
## [3200,] -1.130786012 -1.1443890945
## [3201,] -1.287996876 -1.3026736144
## [3202,] -1.578836976 -1.5330725616
## [3203,] -1.699606362 -1.6643537424
## [3204,]  1.974128562  1.9817301737
## [3205,]  0.881513053  0.8816527603
## [3206,]  0.831205577  0.8310017140
## [3207,] -0.717321438 -0.7281008071
## [3208,] -1.536390042 -1.4869326240
## [3209,] -1.661026816 -1.6224241731
## [3210,]  0.064016558  0.0585732568
## [3211,] -0.753479937 -0.7645062467
## [3212,] -0.156078652 -0.1630250711
## [3213,] -0.784922110 -0.7961631507
## [3214,] -0.926411888 -0.9386192186
## [3215,] -1.005017320 -1.0177614786
## [3216,]  1.227376955  1.2298787041
## [3217,] -0.218962998 -0.2263388790
## [3218,]  0.472764806  0.4701130086
## [3219,] -0.156078652 -0.1630250711
## [3220,]  0.394159374  0.3909707486
## [3221,]  0.079737645  0.0744017088
## [3222,] -2.110807099 -2.1185511723
## [3223,]  0.906839724  0.9071523965
## [3224,] -0.346681104 -0.3549292230
## [3225,] -0.611990159 -0.6220501788
## [3226,] -0.722037764 -0.7328493427
## [3227,] -0.344731690 -0.3529664950
## [3228,] -1.075762209 -1.0889895125
## [3229,] -1.570976433 -1.4052419833
## [3230,] -1.806792729 -1.6973718933
## [3231,] -0.820294555 -0.8317771677
## [3232,] -1.177949271 -1.1918744505
## [3233,]  1.384587820  1.3881632240
## [3234,]  0.409880460  0.4067992006
## [3235,]  0.661417843  0.6600544325
## [3236,] -0.910690802 -0.9227907666
## [3237,]  0.708581102  0.7075397884
## [3238,] -0.391894949 -0.4004518509
## [3239,]  0.857931424  0.8579100823
## [3240,] -0.121492262 -0.1282024767
## [3241,] -0.272414692 -0.2801556158
## [3242,] -1.075762209 -1.0889895125
## [3243,]  0.824917142  0.8246703332
## [3244,] -0.042886830 -0.0490602167
## [3245,]  0.394159374  0.3909707486
## [3246,] -0.234684084 -0.2421673310
## [3247,]  1.384587820  1.3881632240
## [3248,]  0.409880460  0.4067992006
## [3249,]  1.400308906  1.4039916760
## [3250,] -0.218962998 -0.2263388790
## [3251,] -1.508092087 -1.5242719423
## [3252,] -1.791071643 -1.8091840781
## [3253,]  0.409880460  0.4067992006
## [3254,] -0.490623372 -0.4998545294
## [3255,]  0.857931424  0.8579100823
## [3256,] -0.173371847 -0.1804363683
## [3257,] -0.156078652 -0.1630250711
## [3258,] -0.863527542 -0.8753054107
## [3259,]  1.416029993  1.4198201280
## [3260,]  0.111179817  0.1060586128
## [3261,]  0.236948509  0.2326862287
## [3262,] -0.218962998 -0.2263388790
## [3263,]  1.258819128  1.2615356081
## [3264,]  0.724302189  0.7233682404
## [3265,]  1.923821085  1.9310791273
## [3266,]  1.145627306  1.1475707538
## [3267,]  0.276251225  0.2722573587
## [3268,] -0.682735048 -0.6932782128
## [3269,]  0.358786929  0.3553567316
## [3270,] -1.060041123 -1.0731610605
## [3271,]  0.246381161  0.2421832999
## [3272,] -1.322583267 -1.3374962088
## [3273,]  0.661417843  0.6600544325
## [3274,]  0.221227423  0.2168577767
## [3275,] -0.077473220 -0.0838828111
## [3276,] -0.313289517 -0.3213095910
## [3277,]  1.205367434  1.2077188713
## [3278,] -0.154506544 -0.1614422259
## [3279,]  0.565519216  0.5635008753
## [3280,] -0.324294277 -0.3323895074
## [3281,]  2.856710355  2.8703394685
## [3282,]  1.851818509  1.8585848172
## [3283,]  2.060594537  2.0687866597
## [3284,]  0.488485892  0.4859414606
## [3285,]  0.906839724  0.9071523965
## [3286,] -0.346681104 -0.3549292230
## [3287,]  1.180213696  1.1823933482
## [3288,]  0.284111768  0.2801715847
## [3289,]  2.054306102  2.0624552789
## [3290,]  0.136333556  0.1313841360
## [3291,]  0.787186535  0.7866820484
## [3292,] -0.156078652 -0.1630250711
## [3293,]  2.104299157  2.1127897562
## [3294,]  1.078655477  1.0801415483
## [3295,]  0.449183176  0.4463703306
## [3296,] -0.784922110 -0.7961631507
## [3297,]  2.725596494  2.7383301789
## [3298,]  0.546653912  0.5445067329
## [3299,]  1.543370793  1.5480305892
## [3300,] -0.063324242 -0.0696372043
## [3301,] -0.784922110 -0.4314756168
## [3302,] -1.020738407 -0.7236055268
## [3303,]  0.551370238  0.5492552685
## [3304,] -0.192237151 -0.1994305106
## [3305,]  0.873652510  0.8737385343
## [3306,] -0.273986801 -0.2817384610
## [3307,] -1.333588027 -1.3485761252
## [3308,] -1.655241456 -1.6724262529
## [3309,]  0.496346435  0.4938556866
## [3310,] -0.593124855 -0.6030560364
## [3311,]  0.661417843  0.6600544325
## [3312,]  0.221227423  0.2168577767
## [3313,]  0.174064163  0.1693724207
## [3314,] -0.423337122 -0.4321087549
## [3315,]  1.530793924  1.5353678276
## [3316,] -0.160794978 -0.1677736067
## [3317,] -0.077473220 -0.0838828111
## [3318,] -0.690595591 -0.7011924388
## [3319,]  0.787186535  0.7866820484
## [3320,]  0.158343077  0.1535439688
## [3321,]  0.859503532  0.8594929275
## [3322,] -0.368313319 -0.3767091729
## [3323,]  2.024436038  2.0323812201
## [3324,]  0.147338316  0.1424640524
## [3325,]  0.472764806  0.4701130086
## [3326,] -0.156078652 -0.1630250711
## [3327,]  1.384587820  1.3881632240
## [3328,]  0.409880460  0.4067992006
## [3329,] -0.391894949 -0.4004518509
## [3330,] -1.335160136 -1.3501589704
## [3331,]  1.258819128  1.2615356081
## [3332,]  0.394159374  0.3909707486
## [3333,] -0.313289517 -0.3213095910
## [3334,] -0.784922110 -0.7961631507
## [3335,]  1.620246906  1.6254317194
## [3336,]  0.192457834  0.1878917096
## [3337,]  0.519928065  0.5175983645
## [3338,] -0.439058208 -0.4479372069
## [3339,]  1.620404116  1.6255900039
## [3340,]  0.347624958  0.3441185307
## [3341,]  2.520750737  2.5320854494
## [3342,]  1.401566593  1.4052579522
## [3343,] -1.020738407 -1.0335899306
## [3344,] -1.256554704 -1.2710167104
## [3345,] -0.234684084 -0.2421673310
## [3346,] -0.391894949 -0.4004518509
## [3347,]  1.620404116  1.6255900039
## [3348,]  0.347624958  0.3441185307
## [3349,] -0.234684084 -0.2421673310
## [3350,] -0.659153419 -0.6695355348
## [3351,]  1.188074239  1.1903075742
## [3352,] -0.165511304 -0.1725221423
## [3353,] -0.470500381 -0.3282424529
## [3354,] -1.570976433 -1.5875857502
## [3355,]  1.225018792  1.2275044363
## [3356,]  0.480625349  0.4780272346
## [3357,] -0.942132975 -0.9544476706
## [3358,] -1.256554704 -1.2710167104
## [3359,]  0.771465448  0.7708535964
## [3360,]  0.142621990  0.1377155168
## [3361,]  3.145349502  3.1609498470
## [3362,] -1.099343839 -1.1127321905
## [3363,]  1.416029993  1.4198201280
## [3364,]  0.158343077  0.1535439688
## [3365,] -0.077473220 -0.0838828111
## [3366,] -0.549105813 -0.5587363708
## [3367,] -0.667013962 -0.6774497608
## [3368,] -0.836015641 -0.8476056197
## [3369,]  0.378438287  0.3751422966
## [3370,] -0.722037764 -0.7328493427
## [3371,]  1.970984344  1.9785644833
## [3372,]  0.527788608  0.5255125905
## [3373,]  1.573240857  1.5781046479
## [3374,]  1.180213696  1.1823933482
## [3375,]  0.383940667  0.3806822548
## [3376,] -0.363596993 -0.3719606373
## [3377,]  2.108543851  2.1170634382
## [3378,]  0.689715799  0.6885456460
## [3379,]  2.359295180  2.3695272475
## [3380,]  0.787186535  0.7866820484
## [3381,]  1.305809456  1.3088468511
## [3382,] -0.156078652 -0.1630250711
## [3383,] -1.020738407 -1.0335899306
## [3384,]  0.857931424  0.8579100823
## [3385,] -0.121492262 -0.1282024767
## [3386,] -0.044458938 -0.0506430619
## [3387,] -0.931128214 -0.9433677542
## [3388,] -0.156078652 -0.1630250711
## [3389,] -0.863527542 -0.8753054107
## [3390,]  0.857931424  0.8579100823
## [3391,] -0.173371847 -0.1804363683
## [3392,]  0.290400203  0.2865029655
## [3393,] -0.703172461 -0.7138552003
## [3394,]  0.873652510  0.8737385343
## [3395,] -0.273986801 -0.2817384610
## [3396,] -0.044458938 -0.0506430619
## [3397,] -0.931128214 -0.9433677542
## [3398,]  1.533938141  1.5385335180
## [3399,]  0.350140331  0.3466510830
## [3400,]  0.661417843  0.6600544325
## [3401,] -0.183747764 -0.1908831466
## [3402,]  0.290400203  0.2865029655
## [3403,] -0.703172461 -0.7138552003
## [3404,]  0.009778810  0.0039650974
## [3405,] -0.522222756 -0.5316697179
## [3406,]  0.472764806  0.4701130086
## [3407,]  0.189785250  0.1852008727
## [3408,]  1.205367434  1.2077188713
## [3409,] -0.154506544 -0.1614422259
## [3410,] -0.044458938 -0.0506430619
## [3411,] -0.931128214 -0.9433677542
## [3412,]  0.394159374  0.3909707486
## [3413,] -0.470500381 -0.4795941109
## [3414,] -0.044458938 -0.0506430619
## [3415,] -0.931128214 -0.9433677542
## [3416,]  0.290400203  0.2865029655
## [3417,] -0.703172461 -0.7138552003
## [3418,] -0.391894949 -0.4004518509
## [3419,] -0.784922110 -0.7961631507
## [3420,]  0.768321231  0.7676879060
## [3421,] -0.703172461 -0.7138552003
## [3422,] -0.541245270 -0.5508221448
## [3423,] -1.201530901 -1.2156171285
## [3424,]  0.010564864  0.0047565200
## [3425,] -0.462639838 -0.4716798849
## [3426,]  0.519928065  0.5175983645
## [3427,] -0.156078652 -0.1630250711
## [3428,]  0.276251225  0.2722573587
## [3429,] -0.682735048 -0.6932782128
## [3430,]  0.394159374  0.3909707486
## [3431,] -0.391894949 -0.4004518509
## [3432,]  1.400308906  1.4039916760
## [3433,] -0.014588874 -0.0205690031
## [3434,] -0.344731690 -0.3529664950
## [3435,] -1.075762209 -1.0889895125
## [3436,]  0.551370238  0.5492552685
## [3437,] -0.439058208 -0.4479372069
## [3438,]  0.831205577  0.8310017140
## [3439,] -0.717321438 -0.7281008071
## [3440,]  0.496346435  0.4938556866
## [3441,] -0.360452776 -0.3687949469
## [3442,]  0.567091324  0.5650837205
## [3443,] -0.187520825 -0.1946819750
## [3444,]  0.551370238  0.5492552685
## [3445,] -0.439058208 -0.4479372069
## [3446,]  0.724302189  0.7233682404
## [3447,] -0.115203827 -0.1218710959
## [3448,]  0.865791967  0.8658243083
## [3449,]  0.001132212 -0.0047405512
## [3450,] -0.156078652 -0.1630250711
## [3451,] -0.596269073 -0.6062217268
## [3452,] -0.171799739 -0.1788535231
## [3453,] -1.009733646 -1.0225100142
## [3454,] -1.791071643 -1.8091840781
## [3455,] -0.313289517 -0.3213095910
## [3456,] -0.922167195 -0.9343455366
## [3457,]  1.205367434  1.2077188713
## [3458,] -0.154506544 -0.1614422259
## [3459,]  1.180213696  1.1823933482
## [3460,]  0.101747166  0.0965615416
## [3461,]  1.136194654  1.1380736826
## [3462,] -0.218962998 -0.2263388790
## [3463,]  0.472764806  0.4701130086
## [3464,]  0.236948509  0.2326862287
## [3465,]  1.526077598  1.5306192920
## [3466,] -0.495025276 -0.5042864960
## [3467,] -0.077473220 -0.0838828111
## [3468,] -0.313289517 -0.3213095910
## [3469,]  0.857931424  0.8579100823
## [3470,] -0.173371847 -0.1804363683
## [3471,]  2.316848246  2.3267904271
## [3472,]  0.758888579  0.7581908348
## [3473,]  0.350140331  0.3466510830
## [3474,] -0.294424213 -0.3023154486
## [3475,] -0.942132975 -0.6262288901
## [3476,] -1.256554704 -1.0157354367
## [3477,]  0.857931424  0.8579100823
## [3478,] -0.173371847 -0.1804363683
## [3479,] -0.981435691 -0.9940188006
## [3480,] -1.374462852 -1.3897301004
## [3481,]  1.478914338  1.4831339360
## [3482,]  0.111179817  0.1060586128
## [3483,]  0.119826415  0.1147642614
## [3484,] -0.711819058 -0.7225608489
## [3485,] -0.218962998 -0.2263388790
## [3486,] -0.932700323 -0.9449505994
## [3487,] -1.728187297 -1.5999952566
## [3488,] -1.806792729 -1.6973718933
## [3489,]  0.158343077  0.1535439688
## [3490,] -1.020738407 -0.9263838252
## [3491,] -0.464998001 -0.4740541527
## [3492,] -1.187381923 -1.2013715217
## [3493,]  2.060594537  2.0687866597
## [3494,]  0.488485892  0.4859414606
## [3495,]  2.054306102  2.0624552789
## [3496,]  0.136333556  0.1313841360
## [3497,]  2.599827802  2.6117025629
## [3498,]  0.947541616  0.9481322587
## [3499,]  0.425601546  0.4226276526
## [3500,] -0.627711246 -0.6378786308
## [3501,]  0.551370238  0.5492552685
## [3502,] -1.105632274 -1.1190635713
## [3503,] -1.335160136 -1.3501589704
## [3504,] -1.492371000 -1.5084434903
## [3505,]  1.573240857  1.5781046479
## [3506,]  0.158343077  0.1535439688
## [3507,]  0.523072282  0.5207640549
## [3508,] -0.435913991 -0.4447715165
## [3509,] -0.784922110 -0.7961631507
## [3510,] -1.177949271 -1.1918744505
## [3511,]  0.551370238  0.5492552685
## [3512,] -0.077473220 -0.0838828111
## [3513,]  0.001132212 -0.0047405512
## [3514,] -0.297568430 -0.3054811390
## [3515,] -0.769201024 -0.7803346987
## [3516,]  0.315553941  0.3118284887
## [3517,] -0.313289517 -0.3213095910
## [3518,]  0.332061082  0.3284483633
## [3519,] -0.401327601 -0.4099489221
## [3520,] -0.234684084 -0.2421673310
## [3521,] -0.627711246 -0.6378786308
## [3522,]  0.582812411  0.5809121725
## [3523,] -0.344731690 -0.3529664950
## [3524,]  0.425601546  0.4226276526
## [3525,] -0.627711246 -0.6378786308
## [3526,] -0.187520825 -0.1946819750
## [3527,] -0.910690802 -0.9227907666
## [3528,]  0.787186535  0.7866820484
## [3529,]  0.158343077  0.1535439688
## [3530,] -0.187520825 -0.1946819750
## [3531,] -0.910690802 -0.9227907666
## [3532,] -0.156078652 -0.1630250711
## [3533,] -0.470500381 -0.4795941109
## [3534,]  1.436467405  1.4403971156
## [3535,] -0.406043927 -0.4146974577
## [3536,]  0.551370238  0.5492552685
## [3537,]  0.032574385  0.0269163528
## [3538,] -0.187520825 -0.1946819750
## [3539,] -0.910690802 -0.9227907666
## [3540,]  2.170642142  2.1795858236
## [3541,]  0.158343077  0.1535439688
## [3542,] -0.880537758 -0.8924317957
## [3543,] -1.540131661 -1.5565303274
## [3544,] -0.784922110 -0.6700420452
## [3545,] -1.037827228 -0.9449664279
## [3546,]  0.626045399  0.6244404155
## [3547,] -0.077473220 -0.0838828111
## [3548,]  1.188074239  1.1903075742
## [3549,] -0.165511304 -0.1725221423
## [3550,] -0.313289517 -0.3213095910
## [3551,] -0.863527542 -0.8753054107
## [3552,]  3.289511865  3.3060967518
## [3553,]  2.520750737  2.5320854494
## [3554,]  1.604683030  1.6097615519
## [3555,] -0.156078652 -0.1630250711
## [3556,] -0.611612853 -1.0770548597
## [3557,] -1.047778676 -1.4024086904
## [3558,]  1.533938141  1.5385335180
## [3559,]  0.350140331  0.3466510830
## [3560,] -0.981435691 -0.9940188006
## [3561,] -1.374462852 -1.3897301004
## [3562,] -0.061752133 -0.0680543591
## [3563,] -0.659153419 -0.6695355348
## [3564,]  0.857931424  0.8579100823
## [3565,] -0.121492262 -0.1282024767
## [3566,] -0.187520825 -0.1946819750
## [3567,] -0.910690802 -0.9227907666
## [3568,]  1.934825845  1.9421590437
## [3569,]  0.260530139  0.2564289067
## [3570,] -1.335160136 -1.3501589704
## [3571,] -1.649581865 -1.6667280102
## [3572,]  0.472764806  0.4701130086
## [3573,]  0.001132212 -0.0047405512
## [3574,]  0.378438287  0.3751422966
## [3575,] -0.171799739 -0.1788535231
## [3576,]  0.988416441  0.9892862339
## [3577,] -0.406043927 -0.4146974577
## [3578,]  1.533938141  1.5385335180
## [3579,]  0.350140331  0.3466510830
## [3580,]  0.626045399  0.6244404155
## [3581,] -0.482872876 -0.4920511026
## [3582,]  0.629975670  0.6283975285
## [3583,] -0.156078652 -0.1630250711
## [3584,]  1.240425457  1.2430163193
## [3585,] -0.021034520 -0.0270586685
## [3586,] -0.156078652 -0.1630250711
## [3587,]  0.480845444  0.4782488329
## [3588,] -0.654311324 -0.6646603716
## [3589,]  1.101608264  1.1032510882
## [3590,]  0.315553941  0.3118284887
## [3591,]  0.299832855  0.2960000367
## [3592,] -0.618278594 -0.6283815596
## [3593,]  0.480845444  0.4782488329
## [3594,] -0.654311324 -0.6646603716
## [3595,]  1.530793924  1.5353678276
## [3596,] -0.160794978 -0.1677736067
## [3597,] -1.225112531 -1.1485519774
## [3598,] -1.420604241 -1.3610647738
## [3599,]  0.873652510  0.8737385343
## [3600,] -0.273986801 -0.2817384610
## [3601,] -1.177949271 -1.1918744505
## [3602,] -1.335160136 -1.3501589704
## [3603,] -0.454779295 -0.4637656589
## [3604,] -1.130786012 -1.1443890945
## [3605,]  0.158343077  0.1535439688
## [3606,] -0.077473220 -0.0838828111
## [3607,] -1.256554704 -1.1827414337
## [3608,] -1.447943210 -1.3907906066
## [3609,]  1.384587820  1.3881632240
## [3610,]  0.095458731  0.0902301608
## [3611,]  0.857931424  0.8579100823
## [3612,] -0.173371847 -0.1804363683
## [3613,]  0.857931424  0.8579100823
## [3614,] -0.121492262 -0.1282024767
## [3615,]  0.158343077  0.1535439688
## [3616,] -0.470500381 -0.4795941109
## [3617,]  1.636125203  1.6414184559
## [3618,]  0.787186535  0.7866820484
## [3619,]  1.227376955  1.2298787041
## [3620,] -0.218962998 -0.2263388790
## [3621,]  1.310698713  1.3137694997
## [3622,]  0.087598188  0.0823159348
## [3623,] -1.413765568 -1.3536254014
## [3624,] -0.879248629 -0.8911338626
## [3625,] -1.069473775 -1.0826581317
## [3626,]  0.629975670  0.6283975285
## [3627,] -0.156078652 -0.1630250711
## [3628,]  0.771465448  0.7708535964
## [3629,]  0.189785250  0.1852008727
## [3630,] -1.177949271 -0.9183588001
## [3631,] -1.492371000 -1.3078653467
## [3632,]  0.912955226  0.9133096643
## [3633,] -0.635571789 -0.6457928568
## [3634,]  1.416029993  1.4198201280
## [3635,]  1.392919996  1.3965523036
## [3636,] -0.863527542 -0.8753054107
## [3637,] -1.067901666 -1.0810752865
## [3638,] -1.099343839 -1.1127321905
## [3639,] -1.256554704 -1.2710167104
## [3640,]  0.079737645  0.0744017088
## [3641,] -0.313289517 -0.3213095910
## [3642,]  0.299832855  0.2960000367
## [3643,] -0.618278594 -0.6283815596
## [3644,]  0.629975670  0.6283975285
## [3645,]  0.001132212 -0.0047405512
## [3646,]  0.075021319  0.0696531732
## [3647,] -0.487793576 -0.4970054081
## [3648,]  1.305353544  1.3083878260
## [3649,]  0.258958030  0.2548460615
## [3650,]  0.095458731  0.0902301608
## [3651,] -0.706316678 -0.7170208907
## [3652,]  0.677138930  0.6758828845
## [3653,] -0.108915393 -0.1155397151
## [3654,]  0.629975670  0.6283975285
## [3655,] -0.156078652 -0.1630250711
## [3656,] -0.174000691 -0.1810695063
## [3657,] -0.476631605 -0.4857672072
## [3658,]  0.873416694  0.8735011076
## [3659,]  0.104262539  0.0990940939
## [3660,]  1.258819128  1.2615356081
## [3661,]  0.394159374  0.3909707486
## [3662,]  0.953830051  0.9544636395
## [3663,] -0.234684084 -0.2421673310
## [3664,]  1.809057154  1.8155314278
## [3665,]  0.048295472  0.0427448048
## [3666,]  1.730451722  1.7363891678
## [3667,]  0.315553941  0.3118284887
## [3668,] -0.706316678 -0.7170208907
## [3669,] -1.335160136 -1.3501589704
## [3670,]  0.119826415  0.1147642614
## [3671,] -0.711819058 -0.7225608489
## [3672,]  1.180213696  1.1823933482
## [3673,]  0.101747166  0.0965615416
## [3674,]  0.001132212 -0.0047405512
## [3675,] -0.391894949 -0.4004518509
## [3676,] -0.234684084 -0.2421673310
## [3677,] -0.784922110 -0.7961631507
## [3678,] -0.784922110 -0.7961631507
## [3679,] -1.429486654 -1.4451296823
## [3680,] -1.460928827 -1.2689273548
## [3681,] -1.696745124 -1.5610572647
## [3682,] -1.177949271 -0.9183588001
## [3683,] -1.335160136 -1.1131120734
## [3684,] -2.121214458 -2.1415815699
## [3685,] -1.413765568 -1.3536254014
## [3686,]  1.180213696  1.1823933482
## [3687,]  0.101747166  0.0965615416
## [3688,] -0.091622198 -0.0981284179
## [3689,] -0.956281952 -0.9686932774
## [3690,]  0.565519216  0.5635008753
## [3691,] -0.324294277 -0.3323895074
## [3692,]  0.425601546  0.4226276526
## [3693,] -0.627711246 -0.6378786308
## [3694,] -0.156078652 -0.1630250711
## [3695,] -0.784922110 -0.7961631507
## [3696,] -0.077473220 -0.0838828111
## [3697,] -0.549105813 -0.5587363708
## [3698,]  0.686571581  0.6853799556
## [3699,] -0.475216707 -0.4843426465
## [3700,] -0.879248629 -0.8911338626
## [3701,] -1.069473775 -1.0826581317
## [3702,]  0.221227423  0.2168577767
## [3703,] -0.313289517 -0.3213095910
## [3704,]  0.629975670  0.6283975285
## [3705,] -0.156078652 -0.1630250711
## [3706,] -0.439058208 -0.2940688251
## [3707,]  2.725596494  2.7383301789
## [3708,]  0.546653912  0.5445067329
## [3709,]  0.472764806  0.4701130086
## [3710,] -0.470500381 -0.4795941109
## [3711,] -0.880537758 -0.8924317957
## [3712,] -1.540131661 -1.5565303274
## [3713,]  0.001132212 -0.0047405512
## [3714,] -0.313289517 -0.3213095910
## [3715,]  1.447472166  1.4514770320
## [3716,] -0.250405171 -0.2579957830
## [3717,] -0.722037764 -0.7328493427
## [3718,] -1.005017320 -1.0177614786
## [3719,]  1.711586418  1.7173950255
## [3720,]  0.774609666  0.7740192868
## [3721,]  0.802907621  0.8025105004
## [3722,] -0.439058208 -0.4479372069
## [3723,] -0.627711246 -0.6378786308
## [3724,] -0.942132975 -0.9544476706
## [3725,] -0.138785457 -0.1456137739
## [3726,] -0.877676520 -0.8895510174
## [3727,]  0.944397399  0.9449665683
## [3728,]  0.236948509  0.2326862287
## [3729,]  0.565519216  0.5635008753
## [3730,] -0.324294277 -0.3323895074
## [3731,] -0.156078652 -0.1630250711
## [3732,] -0.376173862 -0.3846233989
## [3733,]  0.315553941  0.3118284887
## [3734,] -0.313289517 -0.3213095910
## [3735,] -1.020738407 -0.7236055268
## [3736,] -1.177949271 -0.9183588001
## [3737,]  0.920815770  0.9212238903
## [3738,]  0.236948509  0.2326862287
## [3739,] -1.225112531 -1.1485519774
## [3740,] -1.099343839 -1.0118416375
## [3741,]  0.299832855  0.2960000367
## [3742,] -0.618278594 -0.6283815596
## [3743,]  0.565519216  0.5635008753
## [3744,] -0.324294277 -0.3323895074
## [3745,]  1.180213696  1.1823933482
## [3746,]  0.101747166  0.0965615416
## [3747,]  2.500784958  2.5119833154
## [3748,] -0.124636479 -0.1313681671
## [3749,]  1.180213696  1.1823933482
## [3750,]  0.101747166  0.0965615416
## [3751,]  0.857931424  0.8579100823
## [3752,] -0.173371847 -0.1804363683
## [3753,]  0.565519216  0.5635008753
## [3754,] -0.324294277 -0.3323895074
## [3755,]  2.725596494  2.7383301789
## [3756,]  0.546653912  0.5445067329
## [3757,]  1.533938141  1.5385335180
## [3758,]  0.350140331  0.3466510830
## [3759,]  0.857931424  0.8579100823
## [3760,] -0.121492262 -0.1282024767
## [3761,] -0.234684084 -0.2421673310
## [3762,] -0.627711246 -0.6378786308
## [3763,]  0.480845444  0.4782488329
## [3764,] -0.654311324 -0.6646603716
## [3765,] -0.489365685 -0.4985882533
## [3766,] -1.177949271 -1.1918744505
## [3767,] -0.077473220 -0.0838828111
## [3768,] -0.313289517 -0.3213095910
## [3769,]  0.480845444  0.4782488329
## [3770,] -0.654311324 -0.6646603716
## [3771,]  0.686571581  0.6853799556
## [3772,] -0.475216707 -0.4843426465
## [3773,] -0.300712647 -0.3086468294
## [3774,] -0.986152017 -0.9987673362
## [3775,]  1.023002831  1.0241088283
## [3776,]  0.001132212 -0.0047405512
## [3777,]  1.533938141  1.5385335180
## [3778,]  0.350140331  0.3466510830
## [3779,] -1.570976433 -1.4052419833
## [3780,] -1.728187297 -1.5999952566
## [3781,]  0.857931424  0.8579100823
## [3782,] -0.121492262 -0.1282024767
## [3783,]  0.299832855  0.2960000367
## [3784,] -0.618278594 -0.6283815596
## [3785,]  0.857931424  0.8579100823
## [3786,] -0.121492262 -0.1282024767
## [3787,]  1.384587820  1.3881632240
## [3788,]  0.362717201  0.3593138446
## [3789,]  1.180213696  1.1823933482
## [3790,]  0.101747166  0.0965615416
## [3791,]  0.857931424  0.8579100823
## [3792,] -0.121492262 -0.1282024767
## [3793,]  1.180213696  1.1823933482
## [3794,]  0.101747166  0.0965615416
## [3795,]  0.565519216  0.5635008753
## [3796,] -0.324294277 -0.3323895074
## [3797,]  0.878133020  0.8782496432
## [3798,] -0.415932490 -0.4246535540
## [3799,]  2.351434636  2.3616130215
## [3800,]  1.496207534  1.5005452332
## [3801,]  0.057728124  0.0522418760
## [3802,] -0.678018722 -0.6885296772
## [3803,] -1.728187297 -1.7458702702
## [3804,] -1.319439049 -1.2510886894
## [3805,] -0.391894949 -0.4004518509
## [3806,] -0.942132975 -0.9544476706
## [3807,]  2.202084315  2.2112427276
## [3808,]  1.195934782  1.1982218002
## [3809,]  1.136194654  1.1380736826
## [3810,] -0.218962998 -0.2263388790
## [3811,]  0.174064163  0.1693724207
## [3812,]  0.016853299  0.0110879008
## [3813,] -1.583553302 -1.5382009800
## [3814,] -1.791071643 -1.7637880778
## [3815,] -0.203336238 -0.2106053977
## [3816,] -0.760240004 -0.7713124811
## [3817,]  1.015142288  1.0161946023
## [3818,]  0.001132212 -0.0047405512
## [3819,]  0.001132212 -0.0047405512
## [3820,] -0.470500381 -0.4795941109
## [3821,]  2.018147604  2.0260498393
## [3822,]  0.876796727  0.8769042247
## [3823,]  0.565519216  0.5635008753
## [3824,]  0.273264219  0.2692499528
## [3825,] -0.564826900 -0.5745648228
## [3826,] -0.784922110 -0.7961631507
## [3827,]  1.730451722  1.7363891678
## [3828,] -0.218962998 -0.2263388790
## [3829,]  0.189785250  0.1852008727
## [3830,] -0.611990159 -0.6220501788
## [3831,]  1.188074239  1.1903075742
## [3832,] -0.165511304 -0.1725221423
## [3833,]  1.180213696  1.1823933482
## [3834,]  0.101747166  0.0965615416
## [3835,]  0.425601546  0.4226276526
## [3836,] -0.627711246 -0.6378786308
## [3837,] -0.464998001 -0.4740541527
## [3838,] -1.187381923 -1.2013715217
## [3839,]  0.692860016  0.6917113364
## [3840,]  0.174064163  0.1693724207
## [3841,] -1.885398161 -1.8663247898
## [3842,]  0.550584184  0.5484638459
## [3843,] -0.482291196 -0.4914654499
## [3844,]  0.449183176  0.4463703306
## [3845,] -0.218962998 -0.2263388790
## [3846,]  0.614254584  0.6125690765
## [3847,]  0.144036888  0.1391400774
## [3848,] -0.926411888 -0.9386192186
## [3849,] -1.067901666 -1.0810752865
## [3850,] -0.013394072 -0.0193660408
## [3851,] -1.062163470 -1.0752979016
## [3852,]  0.661417843  0.6600544325
## [3853,]  0.221227423  0.2168577767
## [3854,]  0.394159374  0.3909707486
## [3855,] -0.391894949 -0.4004518509
## [3856,]  0.702214062  0.7011292654
## [3857,]  0.126900904  0.1218870648
## [3858,]  1.423890536  1.4277343540
## [3859,] -0.412332361 -0.4210288385
## [3860,]  0.988416441  0.9892862339
## [3861,] -0.602557507 -0.6125531076
## [3862,]  1.689576897  1.6952351927
## [3863,]  0.684999473  0.6837971104
## [3864,]  2.437900612  2.4486695074
## [3865,]  1.494635425  1.4989623880
## [3866,]  0.873416694  0.8735011076
## [3867,]  0.104262539  0.0990940939
## [3868,]  0.284111768  0.2801715847
## [3869,] -1.124497577 -1.1380577137
## [3870,]  1.730451722  1.7363891678
## [3871,]  0.394159374  0.3909707486
## [3872,] -0.313258074 -0.3212779341
## [3873,] -1.226558871 -1.2408160240
## [3874,]  0.975839572  0.9766234723
## [3875,] -0.281847344 -0.2896526870
## [3876,]  0.425601546  0.4226276526
## [3877,] -0.627711246 -0.6378786308
## [3878,]  0.221227423  0.2168577767
## [3879,] -0.313289517 -0.3213095910
## [3880,]  0.565519216  0.5635008753
## [3881,] -0.324294277 -0.3323895074
## [3882,]  1.543370793  1.5480305892
## [3883,] -0.063324242 -0.0696372043
## [3884,] -0.030309961 -0.0363974551
## [3885,] -0.910690802 -0.9227907666
## [3886,]  1.543370793  1.5480305892
## [3887,] -0.063324242 -0.0696372043
## [3888,]  0.079737645  0.0744017088
## [3889,] -1.759629470 -1.7775271741
## [3890,]  1.070166091  1.0715941842
## [3891,] -0.549105813 -0.5587363708
## [3892,] -0.722037764 -0.7328493427
## [3893,] -1.005017320 -1.0177614786
## [3894,]  1.343712995  1.3470092489
## [3895,] -0.654122671 -0.6644704301
## [3896,] -0.863527542 -0.8753054107
## [3897,] -1.067901666 -1.0810752865
## [3898,]  0.038469793  0.0328520223
## [3899,] -0.879248629 -0.8911338626
## [3900,] -0.534422319 -0.5439525967
## [3901,] -1.073152509 -1.0863619895
## [3902,] -0.627711246 -0.6378786308
## [3903,] -1.115064926 -1.1285606425
## [3904,]  1.941114280  1.9484904245
## [3905,]  0.507351196  0.5049356030
## [3906,]  0.158343077  0.1535439688
## [3907,] -0.596269073 -0.6062217268
## [3908,]  2.123478883  2.1321004676
## [3909,]  0.064016558  0.0585732568
## [3910,]  1.101608264  1.1032510882
## [3911,]  0.315553941  0.3118284887
## [3912,]  0.386298830  0.3830565226
## [3913,] -0.580547986 -0.5903932748
## [3914,]  1.180213696  1.1823933482
## [3915,] -0.391894949 -0.4004518509
## [3916,]  0.787186535  0.7866820484
## [3917,]  0.472764806  0.4701130086
## [3918,]  1.573240857  1.5781046479
## [3919,] -0.391894949 -0.4004518509
## [3920,] -0.627711246 -0.6378786308
## [3921,] -0.942132975 -0.9544476706
## [3922,]  1.966268018  1.9738159477
## [3923,]  0.787186535  0.7866820484
## [3924,]  1.966268018  1.9738159477
## [3925,]  0.787186535  0.7866820484
## [3926,]  1.711586418  1.7173950255
## [3927,]  0.774609666  0.7740192868
## [3928,]  0.425601546  0.4226276526
## [3929,] -0.218962998 -0.2263388790
## [3930,] -0.627711246 -0.6378786308
## [3931,] -1.099343839 -1.1127321905
## [3932,] -0.549105813 -0.5587363708
## [3933,] -1.177949271 -1.1918744505
## [3934,] -0.174000691 -0.1810695063
## [3935,] -0.427739026 -0.4365407215
## [3936,] -0.156078652 -0.1630250711
## [3937,] -0.376173862 -0.3846233989
## [3938,]  1.282400758  1.2852782861
## [3939,] -0.501942554 -0.5112510149
## [3940,]  2.351434636  2.3616130215
## [3941,]  1.566952423  1.5717732671
## [3942,]  0.551370238  0.5492552685
## [3943,] -1.105632274 -1.1190635713
## [3944,]  0.686571581  0.6853799556
## [3945,] -0.475216707 -0.4843426465
## [3946,]  1.423890536  1.4277343540
## [3947,] -0.412332361 -0.4210288385
## [3948,] -0.470500381 -0.4795941109
## [3949,] -0.627711246 -0.6378786308
## [3950,] -0.784922110 -0.7961631507
## [3951,] -1.177949271 -1.1918744505
## [3952,]  2.312131920  2.3220418915
## [3953,] -0.187520825 -0.1946819750
## [3954,] -0.234684084 -0.2421673310
## [3955,] -0.706316678 -0.7170208907
## [3956,]  1.842071435  1.8487711770
## [3957,]  0.271534899  0.2675088231
## [3958,]  0.818628708  0.8183389524
## [3959,] -0.156078652 -0.1630250711
## [3960,]  0.383940667  0.3806822548
## [3961,] -0.363596993 -0.3719606373
## [3962,]  1.711586418  1.7173950255
## [3963,]  0.774609666  0.7740192868
## [3964,]  0.606394041  0.6046548505
## [3965,] -0.517663640 -0.5270794669
## [3966,]  0.015768544  0.0099957376
## [3967,] -0.104985121 -0.1115826021
## [3968,]  2.830927773  2.8443808072
## [3969,]  0.850070881  0.8499958564
## [3970,]  1.533938141  1.5385335180
## [3971,]  0.350140331  0.3466510830
## [3972,]  0.787186535  0.7866820484
## [3973,]  0.158343077  0.1535439688
## [3974,]  0.875224619  0.8753213795
## [3975,] -0.695311917 -0.7059409744
## [3976,]  2.736601254  2.7494100953
## [3977,]  0.142621990  0.1377155168
## [3978,]  1.274540215  1.2773640601
## [3979,]  0.115110089  0.1100157258
## [3980,]  1.416029993  1.4198201280
## [3981,]  0.115110089  0.1100157258
## [3982,]  1.290261301  1.2931925121
## [3983,] -0.659153419 -0.6695355348
## [3984,] -0.077473220 -0.0838828111
## [3985,] -0.313289517 -0.3213095910
## [3986,]  2.002426517  2.0102213873
## [3987,]  0.996276984  0.9972004599
## [3988,]  0.472764806  0.4701130086
## [3989,] -0.234684084 -0.2421673310
## [3990,]  0.928676313  0.9291381163
## [3991,] -0.234684084 -0.2421673310
## [3992,]  1.730451722  1.7363891678
## [3993,] -0.218962998 -0.2263388790
## [3994,]  0.928676313  0.9291381163
## [3995,] -0.234684084 -0.2421673310
## [3996,]  0.539579423  0.5373839295
## [3997,]  0.276251225  0.2722573587
## [3998,] -0.863527542 -0.8753054107
## [3999,] -1.020738407 -1.0335899306
## [4000,]  1.258819128  1.2615356081
## [4001,]  0.394159374  0.3909707486
## [4002,] -0.942132975 -0.6262288901
## [4003,] -1.177949271 -0.9183588001
## [4004,]  0.070933836  0.0655377757
## [4005,] -1.279350279 -1.2939679658
## [4006,] -0.942132975 -0.9544476706
## [4007,] -1.413765568 -1.4293012303
## [4008,]  1.205367434  1.2077188713
## [4009,] -0.154506544 -0.1614422259
## [4010,]  0.299832855  0.2960000367
## [4011,] -0.618278594 -0.6283815596
## [4012,]  0.332061082  0.3284483633
## [4013,] -0.401327601 -0.4099489221
## [4014,]  1.188074239  1.1903075742
## [4015,] -0.165511304 -0.1725221423
## [4016,]  1.205367434  1.2077188713
## [4017,] -0.154506544 -0.1614422259
## [4018,]  0.189785250  0.1852008727
## [4019,] -0.611990159 -0.6220501788
## [4020,] -1.728187297 -1.5999952566
## [4021,] -1.822513816 -1.7168567177
## [4022,] -0.218962998 -0.2263388790
## [4023,] -0.722037764 -0.7328493427
## [4024,] -1.099343839 -1.1127321905
## [4025,] -1.531673716 -1.5480146203
## [4026,]  0.001132212 -0.0047405512
## [4027,] -0.549105813 -0.5587363708
## [4028,]  1.620404116  1.6255900039
## [4029,]  0.101747166  0.0965615416
## [4030,]  2.359295180  2.3695272475
## [4031,]  1.337424560  1.3406778681
## [4032,]  1.150343632  1.1523192894
## [4033,] -0.553822139 -0.5634849064
## [4034,]  0.359572983  0.3561481542
## [4035,] -0.627711246 -0.6378786308
## [4036,] -0.863527542 -0.8753054107
## [4037,] -1.256554704 -1.2710167104
## [4038,]  0.472764806  0.4701130086
## [4039,] -0.470500381 -0.4795941109
## [4040,]  0.038469793  0.0328520223
## [4041,] -0.879248629 -0.8911338626
## [4042,]  0.519928065  0.5175983645
## [4043,] -0.391894949 -0.4004518509
## [4044,]  0.565519216  0.5635008753
## [4045,] -0.324294277 -0.3323895074
## [4046,] -0.464998001 -0.4740541527
## [4047,] -1.187381923 -1.2013715217
## [4048,] -0.250405171 -0.2579957830
## [4049,] -0.470500381 -0.4795941109
## [4050,] -1.526957390 -1.4766757871
## [4051,] -1.715610428 -1.6817492111
## [4052,]  1.710800364  1.7166036029
## [4053,]  0.354856657  0.3513996186
## [4054,]  1.636125203  1.6414184559
## [4055,]  0.787186535  0.7866820484
## [4056,]  0.057728124  0.0522418760
## [4057,] -0.678018722 -0.6885296772
## [4058,]  1.258819128  1.2615356081
## [4059,]  0.724302189  0.7233682404
## [4060,]  0.565519216  0.5635008753
## [4061,] -0.324294277 -0.3323895074
## [4062,] -0.344731690 -0.3529664950
## [4063,] -1.075762209 -1.0889895125
## [4064,]  1.101608264  1.1032510882
## [4065,]  0.001132212 -0.0047405512
## [4066,]  1.205367434  1.2077188713
## [4067,] -0.154506544 -0.1614422259
## [4068,]  1.543370793  1.5480305892
## [4069,] -0.063324242 -0.0696372043
## [4070,]  0.079737645  0.0744017088
## [4071,] -0.635131598 -0.6453496601
## [4072,]  2.162781599  2.1716715976
## [4073,]  0.905094683  0.9053954383
## [4074,]  1.543370793  1.5480305892
## [4075,] -0.063324242 -0.0696372043
## [4076,] -0.247260954 -0.2548300926
## [4077,] -0.734614633 -0.7455121043
## [4078,]  1.423890536  1.4277343540
## [4079,] -0.412332361 -0.4210288385
## [4080,]  0.661417843  0.6600544325
## [4081,]  0.221227423  0.2168577767
## [4082,]  1.879802043  1.8867594618
## [4083,]  0.262102247  0.2580117519
## [4084,]  0.158343077  0.1535439688
## [4085,] -0.880522037 -0.8924159673
## [4086,] -1.540131661 -1.5565303274
## [4087,] -0.880522037 -0.8924159673
## [4088,] -1.540131661 -1.5565303274
## [4089,]  0.472764806  0.4701130086
## [4090,] -0.549105813 -0.5587363708
## [4091,]  0.576523976  0.5745807917
## [4092,] -0.473644598 -0.4827598013
## [4093,]  0.158343077  0.1535439688
## [4094,] -1.177949271 -1.1918744505
## [4095,]  0.787186535  0.7866820484
## [4096,] -0.549105813 -0.5587363708
## [4097,]  2.044873451  2.0529582077
## [4098,]  0.787186535  0.7866820484
## [4099,]  1.730451722  1.7363891678
## [4100,] -0.218962998 -0.2263388790
## [4101,]  3.678451543  3.6976926540
## [4102,]  2.608474400  2.6204082115
## [4103,]  1.337424560  1.3406778681
## [4104,]  0.850070881  0.8499958564
## [4105,]  1.636125203  1.6414184559
## [4106,]  0.787186535  0.7866820484
## [4107,]  0.755744362  0.7550251444
## [4108,] -0.281847344 -0.2896526870
## [4109,] -0.130924914 -0.1376995479
## [4110,] -0.872960194 -0.8848024818
## [4111,] -0.234684084 -0.2421673310
## [4112,] -0.659153419 -0.6695355348
## [4113,]  0.935750802  0.9362609197
## [4114,]  0.277194490  0.2732070658
## [4115,]  0.551370238  0.5492552685
## [4116,]  0.221227423  0.2168577767
## [4117,] -0.439058208 -0.4479372069
## [4118,] -0.879248629 -0.8911338626
## [4119,] -1.099343839 -1.1127321905
## [4120,] -1.531673716 -1.5480146203
## [4121,]  1.384587820  1.3881632240
## [4122,] -0.006728331 -0.0126547771
## [4123,]  1.699009549  1.7047322639
## [4124,]  0.818628708  0.8183389524
## [4125,]  0.576523976  0.5745807917
## [4126,] -0.525524184 -0.5349936928
## [4127,]  1.101608264  1.1032510882
## [4128,]  0.158343077  0.1535439688
## [4129,]  1.136194654  1.1380736826
## [4130,] -0.218962998 -0.2263388790
## [4131,]  1.227376955  1.2298787041
## [4132,] -0.218962998 -0.2263388790
## [4133,] -1.570976433 -1.4052419833
## [4134,] -1.806792729 -1.6973718933
## [4135,]  0.394159374  0.3909707486
## [4136,] -0.077473220 -0.0838828111
## [4137,]  0.708581102  0.7075397884
## [4138,] -0.156078652 -0.1630250711
## [4139,]  0.472764806  0.4701130086
## [4140,]  0.236948509  0.2326862287
## [4141,]  1.101608264  1.1032510882
## [4142,]  0.629975670  0.6283975285
## [4143,] -0.706316678 -0.5846000614
## [4144,]  0.158343077 -0.5027194792
## [4145,] -1.256554704 -1.0157354367
## [4146,]  0.276251225  0.2722573587
## [4147,] -0.682735048 -0.6932782128
## [4148,] -0.061752133 -0.0680543591
## [4149,] -0.825796935 -0.8373171259
## [4150,]  2.024436038  2.0323812201
## [4151,]  0.147338316  0.1424640524
## [4152,]  1.205367434  1.2077188713
## [4153,] -0.154506544 -0.1614422259
## [4154,]  2.725596494  2.7383301789
## [4155,]  0.546653912  0.5445067329
## [4156,] -0.234684084 -0.2421673310
## [4157,] -0.659153419 -0.6695355348
## [4158,] -1.492371000 -1.7340464165
## [4159,]  0.315553941  0.3118284887
## [4160,] -0.470500381 -0.4795941109
## [4161,]  0.258392071  0.2542762372
## [4162,] -0.526231633 -0.5357059732
## [4163,] -0.077473220 -0.0838828111
## [4164,] -0.391894949 -0.4004518509
## [4165,]  0.550584184  0.5484638459
## [4166,] -0.482291196 -0.4914654499
## [4167,] -0.863527542 -0.8753054107
## [4168,] -1.162228185 -1.1760459985
## [4169,] -1.099343839 -1.1127321905
## [4170,] -1.531673716 -1.5480146203
## [4171,]  0.158343077  0.1535439688
## [4172,] -0.297568430 -0.3054811390
## [4173,]  0.284111768  0.2801715847
## [4174,] -0.313289517 -0.3213095910
## [4175,]  1.573240857  1.5781046479
## [4176,] -0.156078652 -0.1630250711
## [4177,] -0.077473220 -0.0838828111
## [4178,] -0.549105813 -0.5587363708
## [4179,]  1.133050437  1.1349079922
## [4180,]  0.260530139  0.2564289067
## [4181,]  0.875224619  0.8753213795
## [4182,] -0.695311917 -0.7059409744
## [4183,] -0.218962998 -0.2263388790
## [4184,] -0.722037764 -0.7328493427
## [4185,] -0.187520825 -0.1946819750
## [4186,] -1.303717963 -1.3185020664
## [4187,]  0.963262703  0.9639607107
## [4188,]  0.409880460  0.4067992006
## [4189,]  1.258819128  1.2615356081
## [4190,] -0.234684084 -0.2421673310
## [4191,] -1.099343839 -1.1127321905
## [4192,] -1.413765568 -1.4293012303
## [4193,]  0.787186535  0.7866820484
## [4194,]  0.472764806  0.4701130086
## [4195,]  3.302560366 -2.0880655737
## [4196,]  0.079737645  0.0744017088
## [4197,] -0.163939195 -0.1709392971
## [4198,] -0.344731690 -0.3529664950
## [4199,] -1.075762209 -1.0889895125
## [4200,]  0.787186535  0.7866820484
## [4201,] -0.470500381 -0.4795941109
## [4202,] -0.368313319 -0.3767091729
## [4203,] -1.130786012 -1.1443890945
## [4204,]  0.122970632  0.1179299518
## [4205,] -0.711819058 -0.7225608489
## [4206,]  0.409880460  0.4067992006
## [4207,] -0.266126257 -0.2738242350
## [4208,] -0.470500381 -0.4795941109
## [4209,] -0.784922110 -0.7961631507
## [4210,] -1.256554704 -1.2710167104
## [4211,] -1.728187297 -1.7458702702
## [4212,]  0.629975670  0.6283975285
## [4213,]  0.128158591  0.1231533409
## [4214,]  0.504206979  0.5017699126
## [4215,]  0.001132212 -0.0047405512
## [4216,]  0.335205299  0.3316140537
## [4217,] -0.568757171 -0.5785219358
## [4218,]  1.604683030  1.6097615519
## [4219,] -0.329010603 -0.3371380430
## [4220,]  1.274540215  1.2773640601
## [4221,]  0.799763404  0.7993448100
## [4222,]  1.585817726  1.5907674095
## [4223,]  0.271534899  0.2675088231
## [4224,]  1.585817726  1.5907674095
## [4225,]  0.271534899  0.2675088231
## [4226,]  0.144194099  0.1392983620
## [4227,] -0.467985007 -0.4770615586
## [4228,] -0.156078652 -0.1630250711
## [4229,] -0.627711246 -0.6378786308
## [4230,]  0.236948509  0.2326862287
## [4231,] -0.013111092 -0.0190811287
## [4232,]  2.202084315  2.2112427276
## [4233,]  1.533938141  1.5385335180
## [4234,]  0.350140331  0.3466510830
## [4235,]  0.394159374  0.3909707486
## [4236,] -0.313289517 -0.3213095910
## [4237,]  1.180213696  1.1823933482
## [4238,]  0.101747166  0.0965615416
## [4239,]  1.730451722  1.7363891678
## [4240,] -0.218962998 -0.2263388790
## [4241,] -1.020738407 -1.0335899306
## [4242,] -1.221182259 -1.2354026934
## [4243,]  0.197645793  0.1931150987
## [4244,] -0.313289517 -0.3213095910
## [4245,] -0.077473220 -0.0838828111
## [4246,] -0.313289517 -0.3213095910
## [4247,]  0.875224619  0.8753213795
## [4248,] -0.695311917 -0.7059409744
## [4249,] -2.011166853 -2.0030351296
## [4250,] -1.052180580 -1.0652468345
## [4251,] -1.351400018 -1.3665097613
## [4252,]  0.607966149  0.6062376957
## [4253,] -0.603343562 -0.6133445302
## [4254,]  1.090603503  1.0921711718
## [4255,] -0.108915393 -0.1155397151
## [4256,]  1.293405518  1.2963582025
## [4257,] -0.261409931 -0.2690756994
## [4258,] -0.313289517 -0.3213095910
## [4259,] -1.099343839 -1.1127321905
## [4260,]  0.614254584  0.8509455635
## [4261,] -0.313289517 -0.1573584853
## [4262,]  0.769893340  0.7692707512
## [4263,]  0.524801602  0.5225051847
## [4264,] -1.806792729 -1.6973718933
## [4265,] -1.806792729 -1.6973718933
## [4266,]  0.857931424  0.8579100823
## [4267,] -0.121492262 -0.1282024767
## [4268,]  3.805635133  3.8257448306
## [4269,]  1.164492609  1.1665648962
## [4270,]  1.305982388  1.3090209641
## [4271,]  0.773006115  0.7724047847
## [4272,]  0.346996114  0.3434853926
## [4273,] -0.674874505 -0.6853639868
## [4274,] -0.880522037 -0.8924159673
## [4275,] -1.540131661 -1.5565303274
## [4276,]  1.101608264  1.1032510882
## [4277,]  0.001132212 -0.0047405512
## [4278,] -0.344731690 -0.3529664950
## [4279,] -1.075762209 -1.0889895125
## [4280,]  0.787186535  0.7866820484
## [4281,]  0.001132212 -0.0047405512
## [4282,]  0.920029715  0.9204324677
## [4283,]  0.026285951  0.0205849720
## [4284,]  0.920029715  0.9204324677
## [4285,]  0.026285951  0.0205849720
## [4286,]  1.431122236  1.4350154419
## [4287,]  0.799763404  0.7993448100
## [4288,] -0.459794321 -0.4688149351
## [4289,] -1.218682606 -1.2328859696
## [4290,]  0.661417843  0.6600544325
## [4291,]  0.221227423  0.2168577767
## [4292,] -1.099343839 -1.1127321905
## [4293,] -1.531673716 -1.5480146203
## [4294,]  1.573240857  1.5781046479
## [4295,]  0.409880460  0.4067992006
## [4296,]  1.573240857  1.5781046479
## [4297,]  0.315553941  0.3118284887
## [4298,]  1.573240857  1.5781046479
## [4299,]  0.787186535  0.7866820484
## [4300,] -0.218962998 -0.2263388790
## [4301,] -0.722037764 -0.7328493427
## [4302,]  1.258819128  1.2615356081
## [4303,]  0.394159374  0.3909707486
## [4304,]  0.708581102 -1.7729369231
## [4305,]  0.787186535  1.0389242593
## [4306,]  0.276251225  0.2722573587
## [4307,] -0.682735048 -0.6932782128
## [4308,]  2.830927773  2.8443808072
## [4309,]  0.850070881  0.8499958564
## [4310,]  1.205367434  1.2077188713
## [4311,] -0.154506544 -0.1614422259
## [4312,]  3.289511865  3.3060967518
## [4313,]  2.520750737  2.5320854494
## [4314,]  3.289511865  3.3060967518
## [4315,]  2.288393080  2.2981409290
## [4316,]  0.450126441  0.4473200377
## [4317,] -0.017733091 -0.0237346935
## [4318,]  2.024436038  2.0323812201
## [4319,]  0.147338316  0.1424640524
## [4320,]  2.856710355  2.8703394685
## [4321,]  2.104299157  2.1127897562
## [4322,]  0.283388598  0.2794434759
## [4323,] -0.536057312 -0.5455987557
## [4324,]  0.001132212 -0.0047405512
## [4325,] -0.391894949 -0.4004518509
## [4326,]  2.856710355  2.8703394685
## [4327,]  1.851818509  1.8585848172
## [4328,]  0.551370238  0.5492552685
## [4329,] -1.570976433 -1.5875857502
## [4330,]  2.856710355  2.8703394685
## [4331,]  2.104299157  2.1127897562
## [4332,]  0.615983903  0.6143102062
## [4333,] -0.171799739 -0.1788535231
## [4334,]  0.771465448  0.7708535964
## [4335,] -0.077473220 -0.0838828111
## [4336,]  0.771465448  0.7708535964
## [4337,] -0.124636479 -0.1313681671
## [4338,]  1.258819128  1.2615356081
## [4339,]  0.315553941  0.3118284887
## [4340,]  2.856710355  2.8703394685
## [4341,]  2.104299157  2.1127897562
## [4342,] -1.319439049 -1.3343305184
## [4343,] -1.539534260 -1.5559288463
## [4344,] -0.621422811 -0.6315472500
## [4345,] -1.287996876 -1.3026736144
## [4346,]  2.725596494  2.7383301789
## [4347,]  0.546653912  0.5445067329
## [4348,]  0.818628708  0.8183389524
## [4349,] -0.156078652 -0.1630250711
## [4350,]  1.337424560  1.3406778681
## [4351,]  0.787186535  0.7866820484
## [4352,]  3.289511865  3.3060967518
## [4353,]  2.288393080  2.2981409290
## [4354,]  2.610832563  2.6227824793
## [4355,]  0.818628708  0.8183389524
## [4356,]  0.450126441  0.4473200377
## [4357,] -0.017733091 -0.0237346935
## [4358,]  0.315553941  0.3118284887
## [4359,] -0.470500381 -0.4795941109
## [4360,]  0.787186535  0.7866820484
## [4361,]  1.205367434  1.2077188713
## [4362,] -0.154506544 -0.1614422259
## [4363,]  0.260530139  0.2564289067
## [4364,] -0.577089347 -0.5869110154
## [4365,]  1.533938141  1.5385335180
## [4366,]  0.350140331  0.3466510830
## [4367,]  3.391070083  3.4083485516
## [4368,]  2.608474400  2.6204082115
## [4369,]  0.551370238  0.5492552685
## [4370,] -1.105632274 -1.1190635713
## [4371,]  1.730451722  1.7363891678
## [4372,] -0.218962998 -0.2263388790
## [4373,]  2.162781599  2.1716715976
## [4374,]  0.905094683  0.9053954383
## [4375,]  1.243098042  1.2457071561
## [4376,] -0.297568430 -0.3054811390
## [4377,] -0.706316678 -0.7170208907
## [4378,] -1.256554704 -1.2710167104
## [4379,]  0.551370238  0.5492552685
## [4380,] -0.994012560 -1.0066815622
## [4381,]  0.472764806  0.4701130086
## [4382,]  0.001132212 -0.0047405512
## [4383,] -0.077473220 -0.0838828111
## [4384,] -0.549105813 -0.5587363708
## [4385,]  0.666134169  0.6648029681
## [4386,]  0.060872341  0.0554075664
## [4387,]  1.136194654  1.1380736826
## [4388,] -0.218962998 -0.2263388790
## [4389,] -0.926411888 -1.3118699450
## [4390,]  0.001132212 -0.0047405512
## [4391,] -0.942132975 -0.9544476706
## [4392,]  0.079737645  0.0744017088
## [4393,] -0.163939195 -0.1709392971
## [4394,] -0.287349724 -0.2951926452
## [4395,] -0.701285930 -0.7119557861
## [4396,]  1.136194654  1.1380736826
## [4397,] -0.218962998 -0.2263388790
## [4398,]  0.857931424  0.8579100823
## [4399,] -0.369885428 -0.3782920181
## [4400,]  2.507073392  2.5183146962
## [4401,]  0.144194099  0.1392983620
## [4402,]  1.343712995  1.3470092489
## [4403,]  0.159600764  0.1548102449
## [4404,] -0.058765127 -0.0650469532
## [4405,] -0.476631605 -0.4857672072
## [4406,]  0.629975670  0.6283975285
## [4407,]  0.394159374  0.3909707486
## [4408,]  2.351434636  2.3616130215
## [4409,]  1.496207534  1.5005452332
## [4410,]  1.240834205  1.2434278590
## [4411,] -0.084704920 -0.0911638990
## [4412,]  0.944397399  0.9449665683
## [4413,]  0.029430168  0.0237506624
## [4414,]  2.856710355  2.8703394685
## [4415,]  1.851818509  1.8585848172
## [4416,]  0.001132212 -0.0047405512
## [4417,] -0.784922110 -0.7961631507
## [4418,] -0.368313319 -0.3767091729
## [4419,] -1.130786012 -1.1443890945
## [4420,] -1.649581865 -1.6099830098
## [4421,] -1.791071643 -1.7637880778
## [4422,] -0.368313319 -0.3767091729
## [4423,] -1.130786012 -1.1443890945
## [4424,]  0.276251225  0.2722573587
## [4425,] -0.682735048 -0.6932782128
## [4426,] -0.706316678 -0.7170208907
## [4427,] -1.256554704 -1.2710167104
## [4428,]  2.359295180  2.3695272475
## [4429,]  0.787186535  0.7866820484
## [4430,] -0.847806456 -0.8594769587
## [4431,] -1.225112531 -1.2393598064
## [4432,]  2.725596494  2.7383301789
## [4433,]  0.546653912  0.5445067329
## [4434,]  0.868150130  0.8681985761
## [4435,]  0.281753605  0.2777973169
## [4436,]  1.842071435  1.8487711770
## [4437,]  0.271534899  0.2675088231
## [4438,]  1.533938141  1.5385335180
## [4439,]  0.350140331  0.3466510830
## [4440,] -0.313289517 -0.3213095910
## [4441,] -0.627711246 -0.6378786308
## [4442,]  1.620404116  1.6255900039
## [4443,]  0.101747166  0.0965615416
## [4444,]  1.136194654  1.1380736826
## [4445,] -0.218962998 -0.2263388790
## [4446,]  2.024436038  2.0323812201
## [4447,]  0.147338316  0.1424640524
## [4448,]  1.144841251  1.1467793312
## [4449,]  0.508137250  0.5057270256
## [4450,] -0.863527542 -0.7324694599
## [4451,] -1.618139692 -1.5757935535
## [4452,]  1.023002831  1.0241088283
## [4453,]  0.551370238  0.5492552685
## [4454,]  2.302699268  2.3125448203
## [4455,] -0.020971635 -0.0269953547
## [4456,]  0.881513053  0.8816527603
## [4457,] -0.152148381 -0.1590679581
## [4458,]  1.643985746  1.6493326819
## [4459,] -0.299140539 -0.3070639842
## [4460,]  0.755744362  0.7550251444
## [4461,] -0.407616035 -0.4162803029
## [4462,] -0.077473220 -0.0838828111
## [4463,] -0.313289517 -0.3213095910
## [4464,]  1.329328201  1.3325262153
## [4465,] -0.585971761 -0.5958540908
## [4466,]  2.302699268  2.3125448203
## [4467,] -0.020971635 -0.0269953547
## [4468,]  1.136194654  1.1380736826
## [4469,] -0.218962998 -0.2263388790
## [4470,]  0.787186535  0.7866820484
## [4471,]  0.001132212 -0.0047405512
## [4472,] -0.391894949 -0.4004518509
## [4473,] -0.706316678 -0.7170208907
## [4474,] -1.256554704 -1.0157354367
## [4475,] -1.696745124 -1.5610572647
## [4476,] -1.335160136 -1.2681834175
## [4477,] -1.413765568 -1.3536254014
## [4478,]  1.699009549  1.7047322639
## [4479,]  0.629975670  0.6283975285
## [4480,]  0.538541831  0.5363392517
## [4481,]  0.275323681  0.2713234800
## [4482,] -0.784922110 -1.2063258271
## [4483,] -1.885398161 -1.8663247898
## [4484,]  0.857931424  0.8579100823
## [4485,] -0.313289517 -0.3213095910
## [4486,] -0.942132975 -0.9544476706
## [4487,] -1.036459493 -1.0494183826
## [4488,] -0.218962998 -0.2263388790
## [4489,] -0.722037764 -0.7328493427
## [4490,]  0.824917142  0.8246703332
## [4491,] -0.042886830 -0.0490602167
## [4492,] -1.099343839 -1.1127321905
## [4493,] -1.531673716 -1.5480146203
## [4494,] -0.344731690 -0.3529664950
## [4495,] -1.075762209 -1.0889895125
## [4496,] -0.706316678 -0.7170208907
## [4497,] -1.177949271 -1.1918744505
## [4498,] -0.863527542 -0.8753054107
## [4499,] -1.177949271 -1.1918744505
## [4500,]  0.276251225  0.2722573587
## [4501,] -0.682735048 -0.6932782128
## [4502,] -0.163939195 -0.1709392971
## [4503,] -0.942132975 -0.9544476706
## [4504,]  1.879802043  1.8867594618
## [4505,]  0.262102247  0.2580117519
## [4506,]  2.830927773  2.8443808072
## [4507,]  0.850070881  0.8499958564
## [4508,]  1.604683030  1.6097615519
## [4509,] -0.329010603 -0.3371380430
## [4510,]  0.472764806  0.4701130086
## [4511,]  0.236948509  0.2326862287
## [4512,]  0.661417843  0.6600544325
## [4513,] -0.124636479 -0.1313681671
## [4514,] -0.108915393 -0.1155397151
## [4515,] -0.329010603 -0.3371380430
## [4516,]  0.645696757  0.6442259805
## [4517,] -0.061752133 -0.0680543591
## [4518,] -1.020738407 -1.0335899306
## [4519,] -1.256554704 -1.2710167104
## [4520,]  0.079737645  0.0744017088
## [4521,] -0.163939195 -0.1709392971
## [4522,] -0.470500381 -0.0419690702
## [4523,] -1.099343839 -0.8209821634
## [4524,] -0.174000691 -0.1810695063
## [4525,] -0.427739026 -0.4365407215
## [4526,]  0.988416441  0.9892862339
## [4527,] -0.080617437 -0.0870485015
## [4528,]  1.573240857  1.5781046479
## [4529,] -0.784922110 -0.7961631507
## [4530,]  0.935750802  0.9362609197
## [4531,]  0.277194490  0.2732070658
## [4532,] -2.105493372 -2.1257531179
## [4533,] -1.932561421 -1.9516401460
## [4534,] -1.225112531 -1.2393598064
## [4535,]  0.361145092  0.3577309994
## [4536,] -0.091622198 -0.0981284179
## [4537,]  1.258819128  1.2615356081
## [4538,]  0.394159374  0.3909707486
## [4539,]  0.158343077  0.1535439688
## [4540,] -0.234684084 -0.2421673310
## [4541,]  0.001132212 -0.0047405512
## [4542,] -0.627711246 -0.6378786308
## [4543,] -0.761340480 -0.7724204727
## [4544,] -1.041175819 -1.0541669182
## [4545,]  2.520750737  2.5320854494
## [4546,]  1.627164184  1.6323962383
## [4547,]  0.831205577  0.8310017140
## [4548,] -0.717321438 -0.7281008071
## [4549,] -0.627711246 -0.6378786308
## [4550,] -1.256554704 -1.2710167104
## [4551,]  2.092036710  2.1004435636
## [4552,]  0.535649152  0.5334268165
## [4553,]  0.260530139  0.2564289067
## [4554,] -0.577089347 -0.5869110154
## [4555,]  1.101608264  1.1032510882
## [4556,]  0.551370238  0.5492552685
## [4557,]  1.730451722  1.7363891678
## [4558,]  1.180213696  1.1823933482
## [4559,]  1.518217055  1.5227050660
## [4560,] -0.258265714 -0.2659100090
## [4561,]  2.856710355  2.8703394685
## [4562,]  2.104299157  2.1127897562
## [4563,]  2.856710355  2.8703394685
## [4564,]  2.104299157  2.1127897562
## [4565,]  0.378438287  0.3751422966
## [4566,] -0.250405171 -0.2579957830
## [4567,]  3.289511865  3.3060967518
## [4568,]  2.520750737  2.5320854494
## [4569,]  2.856710355  2.8703394685
## [4570,]  2.104299157  2.1127897562
## [4571,]  3.289511865  3.3060967518
## [4572,]  2.288393080  2.2981409290
## [4573,]  0.615983903  0.6143102062
## [4574,] -0.171799739 -0.1788535231
## [4575,]  2.830927773  2.8443808072
## [4576,]  1.258819128  1.2615356081
## [4577,]  1.636125203  1.6414184559
## [4578,]  0.787186535  0.7866820484
## [4579,]  2.507073392  2.5183146962
## [4580,]  0.144194099  0.1392983620
## [4581,]  2.856710355  2.8703394685
## [4582,]  1.851818509  1.8585848172
## [4583,]  2.104299157  2.1127897562
## [4584,]  1.078655477  1.0801415483
## [4585,] -0.784922110 -0.4314756168
## [4586,] -1.413765568 -1.2104887100
## [4587,]  0.268390682  0.2643431327
## [4588,] -0.643432332 -0.6537070828
## [4589,]  0.912955226  0.9133096643
## [4590,]  0.677138930  0.6758828845
## [4591,]  3.289511865  3.3060967518
## [4592,]  2.288393080  2.2981409290
## [4593,] -1.696745124 -1.6208413279
## [4594,] -0.549105813 -0.5587363708
## [4595,]  1.038723918  1.0399372802
## [4596,]  0.535649152  0.5334268165
## [4597,]  0.787186535  0.7866820484
## [4598,] -0.077473220 -0.0838828111
## [4599,]  1.573240857  1.5781046479
## [4600,]  0.262102247  0.2580117519
## [4601,]  2.107757796  2.1162720156
## [4602,]  1.211655869  1.2140502521
## [4603,]  0.865791967  0.8658243083
## [4604,]  0.158343077  0.1535439688
## [4605,]  0.651985191  0.6505573613
## [4606,] -0.351020124 -0.3592978758
## [4607,]  1.136194654  1.1380736826
## [4608,] -0.218962998 -0.2263388790
## [4609,]  0.651985191  0.6505573613
## [4610,] -0.351020124 -0.3592978758
## [4611,]  1.258819128  1.2615356081
## [4612,]  0.394159374  0.3909707486
## [4613,] -0.162367087 -0.1693564519
## [4614,] -1.009733646 -1.0225100142
## [4615,] -0.863527542 -0.8753054107
## [4616,] -1.256554704 -1.2710167104
## [4617,]  1.699009549  1.7047322639
## [4618,]  0.331275028  0.3276569407
## [4619,]  0.857931424  0.8579100823
## [4620,] -0.369885428 -0.3782920181
## [4621,] -0.989296234 -1.0019330266
## [4622,] -1.209391444 -1.2235313545
## [4623,] -2.042609026 -2.0624393100
## [4624,]  2.359295180  2.3695272475
## [4625,] -0.942132975 -0.6262288901
## [4626,] -1.649581865 -1.5026186200
## [4627,]  1.305353544  1.3083878260
## [4628,]  0.030059011  0.0243838005
## [4629,]  0.207895941  0.2034352494
## [4630,] -0.647079624 -0.6573792836
## [4631,]  3.459771231  3.4775188868
## [4632,]  1.494635425  1.4989623880
## [4633,]  2.123478883  2.1321004676
## [4634,]  0.691287907  0.6901284912
## [4635,]  1.416029993  1.4198201280
## [4636,]  0.208650553  0.2041950151
## [4637,]  1.133050437  1.1349079922
## [4638,]  0.260530139  0.2564289067
## [4639,]  1.416029993  1.4198201280
## [4640,]  0.208650553  0.2041950151
## [4641,]  3.066744070  3.0818075871
## [4642,]  1.332708234  1.3359293325
## [4643,] -0.784922110 -0.7961631507
## [4644,] -1.728187297 -1.7458702702
## [4645,]  1.205367434  1.2077188713
## [4646,] -0.154506544 -0.1614422259
## [4647,]  1.431751079  1.4356485800
## [4648,]  0.079737645  0.0744017088
## [4649,]  0.944397399  0.9449665683
## [4650,] -0.942132975 -0.9544476706
## [4651,] -1.492371000 -1.4390832137
## [4652,] -0.942132975 -0.9544476706
## [4653,] -1.036459493 -1.0494183826
## [4654,]  0.158343077  0.1535439688
## [4655,] -0.156078652 -0.1630250711
## [4656,]  1.122045676  1.1238280758
## [4657,] -0.038170504 -0.0443116811
## [4658,]  0.857931424  0.8579100823
## [4659,] -0.313289517 -0.3213095910
## [4660,]  0.944397399  0.9449665683
## [4661,]  0.158343077  0.1535439688
## [4662,]  0.857931424  0.8579100823
## [4663,] -0.121492262 -0.1282024767
## [4664,]  0.576523976  0.5745807917
## [4665,] -0.473644598 -0.4827598013
## [4666,]  0.661417843  0.6600544325
## [4667,]  0.016853299  0.0110879008
## [4668,]  0.551370238  0.5492552685
## [4669,] -1.105632274 -1.1190635713
## [4670,]  0.299832855  0.2960000367
## [4671,] -0.324294277 -0.3323895074
## [4672,]  0.857931424  0.8579100823
## [4673,] -0.121492262 -0.1282024767
## [4674,]  1.573240857  1.5781046479
## [4675,] -0.313289517 -0.3213095910
## [4676,]  0.944397399  0.9449665683
## [4677,]  0.315553941  0.3118284887
## [4678,]  1.122045676  1.1238280758
## [4679,] -0.038170504 -0.0443116811
## [4680,]  0.626045399  0.6244404155
## [4681,] -0.295996322 -0.3038982938
## [4682,]  2.351434636  2.3616130215
## [4683,]  1.496207534  1.5005452332
## [4684,] -0.344731690 -0.3529664950
## [4685,] -1.075762209 -1.0889895125
## [4686,] -1.099343839 -1.1127321905
## [4687,] -1.531673716 -1.5480146203
## [4688,]  3.459771231  3.4775188868
## [4689,]  0.787186535  0.7866820484
## [4690,] -1.225112531 -1.2393598064
## [4691,] -1.413765568 -1.4293012303
## [4692,]  0.472764806  0.4701130086
## [4693,] -0.156078652 -0.1630250711
## [4694,] -0.879248629 -0.8911338626
## [4695,] -1.069473775 -1.0826581317
## [4696,]  0.944397399  0.9449665683
## [4697,]  0.144036888  0.1391400774
## [4698,]  0.944397399  0.9449665683
## [4699,]  0.394159374  0.3909707486
## [4700,] -0.501942554 -0.5112510149
## [4701,] -0.872960194 -0.8848024818
## [4702,]  0.001132212 -0.0047405512
## [4703,] -0.942132975 -0.9544476706
## [4704,]  0.629975670  0.6283975285
## [4705,] -0.391894949 -0.4004518509
## [4706,] -0.313258074 -0.3212779341
## [4707,] -1.226558871 -1.2408160240
## [4708,] -1.099343839 -1.1127321905
## [4709,] -1.413765568 -1.4293012303
## [4710,]  0.276251225  0.2722573587
## [4711,] -0.682735048 -0.6932782128
## [4712,]  0.831205577  0.8310017140
## [4713,] -0.717321438 -0.7281008071
## [4714,] -0.454779295 -1.0836394958
## [4715,] -1.413765568 -1.4293012303
## [4716,]  0.565519216  0.5635008753
## [4717,] -0.324294277 -0.3323895074
## [4718,]  0.001132212 -0.0047405512
## [4719,] -0.627711246 -0.6378786308
## [4720,]  1.258819128  1.2615356081
## [4721,]  0.394159374  0.3909707486
## [4722,]  0.787186535  0.7866820484
## [4723,]  0.315553941  0.3118284887
## [4724,]  0.394159374  0.3909707486
## [4725,]  0.158343077  0.1535439688
## [4726,]  1.651846289  1.6572469079
## [4727,]  0.158343077  0.1535439688
## [4728,] -0.517820851 -0.5272377514
## [4729,] -1.053438267 -1.0665131107
## [4730,] -0.454779295 -0.4637656589
## [4731,] -1.130786012 -1.1443890945
## [4732,]  0.142621990  0.1377155168
## [4733,] -0.706316678 -0.7170208907
## [4734,]  2.507073392  2.5183146962
## [4735,]  0.144194099  0.1392983620
## [4736,]  0.079737645  0.0744017088
## [4737,] -0.753479937 -0.7645062467
## [4738,]  3.522655577  3.5408326948
## [4739,]  0.747883819  0.7471109184
## [4740,]  1.730451722  1.7363891678
## [4741,] -0.218962998 -0.2263388790
## [4742,]  1.416029993  1.4198201280
## [4743,]  0.582812411  0.5809121725
## [4744,] -2.042609026 -2.0624393100
## [4745,]  0.944397399  0.9449665683
## [4746,]  0.629975670  0.6283975285
## [4747,] -0.863527542 -0.8753054107
## [4748,] -1.256554704 -1.2710167104
## [4749,]  0.708581102  0.7075397884
## [4750,] -0.486221468 -0.4954225629
## [4751,]  1.038723918  1.0399372802
## [4752,]  0.535649152  0.5334268165
## [4753,]  0.787186535  0.7866820484
## [4754,]  0.158343077  0.1535439688
## [4755,] -1.099343839 -1.1127321905
## [4756,] -1.256554704 -1.2710167104
## [4757,]  0.551370238  0.5492552685
## [4758,] -1.105632274 -1.1190635713
## [4759,] -1.413765568 -1.2104887100
## [4760,] -1.570976433 -1.4052419833
## [4761,]  1.831852729  1.8384826832
## [4762,]  0.436606307  0.4337075690
## [4763,]  1.494635425  1.4989623880
## [4764,]  0.551370238  0.5492552685
## [4765,]  1.533938141  1.5385335180
## [4766,]  0.350140331  0.3466510830
## [4767,]  1.136194654  1.1380736826
## [4768,] -0.218962998 -0.2263388790
## [4769,] -1.481051818 -1.4970470049
## [4770,] -1.559971672 -1.5765058339
## [4771,] -1.476649914 -1.4926150383
## [4772,]  3.459771231  3.4775188868
## [4773,]  0.787186535  0.7866820484
## [4774,]  0.724302189  0.7233682404
## [4775,] -0.454779295 -0.4637656589
## [4776,]  0.831205577  0.8310017140
## [4777,] -0.717321438 -0.7281008071
## [4778,] -0.234684084 -0.2421673310
## [4779,] -0.549105813 -0.5587363708
## [4780,]  2.390737352  2.4011841515
## [4781,]  0.614254584  0.6125690765
## [4782,] -1.335160136 -1.3501589704
## [4783,] -1.492371000 -1.5084434903
## [4784,]  1.101608264  1.1032510882
## [4785,]  0.315553941  0.3118284887
## [4786,]  0.551370238  0.5492552685
## [4787,] -1.105632274 -1.1190635713
## [4788,] -0.627711246 -0.6378786308
## [4789,] -1.177949271 -1.1918744505
## [4790,]  0.001132212 -0.0047405512
## [4791,] -0.894969715 -0.9069623146
## [4792,]  0.629975670  0.6283975285
## [4793,]  0.787186535 -1.6419564828
## [4794,]  0.857931424  0.8579100823
## [4795,] -0.121492262 -0.1282024767
## [4796,]  0.857931424  0.8579100823
## [4797,] -0.369885428 -0.3782920181
## [4798,]  1.038723918  1.0399372802
## [4799,]  0.535649152  0.5334268165
## [4800,] -0.162367087 -0.1693564519
## [4801,] -1.009733646 -1.0225100142
## [4802,] -0.784922110 -0.7961631507
## [4803,] -0.332940875 -0.3410951560
## [4804,] -1.109562545 -1.1230206843
## [4805,] -1.413765568 -1.2104887100
## [4806,] -1.492371000 -1.3078653467
## [4807,]  0.565519216  0.5635008753
## [4808,] -0.324294277 -0.3323895074
## [4809,]  0.378438287  0.3751422966
## [4810,] -0.250405171 -0.2579957830
## [4811,]  0.079737645  0.0744017088
## [4812,] -0.391894949 -0.4004518509
## [4813,]  0.551370238  0.5492552685
## [4814,] -1.105632274 -1.1190635713
## [4815,]  0.699148451  0.6980427172
## [4816,] -0.278828895 -0.2866136242
## [4817,]  1.941114280  1.9484904245
## [4818,]  0.507351196  0.5049356030
## [4819,]  0.236948509  0.2326862287
## [4820,] -0.116775936 -0.1234539411
## [4821,]  1.001842249  1.0028037319
## [4822,] -0.117782086 -0.1244669620
## [4823,] -0.404000185 -0.4126397590
## [4824,] -1.277982544 -1.2925908905
## [4825,]  0.850070881  0.8499958564
## [4826,]  0.181924706  0.1772866467
## [4827,]  0.857931424  0.8579100823
## [4828,] -0.121492262 -0.1282024767
## [4829,]  0.565519216  0.5635008753
## [4830,] -0.324294277 -0.3323895074
## [4831,]  0.787186535  0.7866820484
## [4832,] -0.784922110 -0.7961631507
## [4833,]  1.730451722  1.7363891678
## [4834,] -0.218962998 -0.2263388790
## [4835,]  0.394159374  0.3909707486
## [4836,] -0.018519146 -0.0245261161
## [4837,]  1.205367434  1.2077188713
## [4838,] -0.154506544 -0.1614422259
## [4839,] -0.234684084 -0.2421673310
## [4840,] -0.863527542 -0.8753054107
## [4841,]  2.165925816  2.1748372880
## [4842,] -0.030309961 -0.0363974551
## [4843,]  1.215428930  1.2178490806
## [4844,]  0.749455927  0.7486937636
## [4845,]  0.174064163  0.1693724207
## [4846,] -0.156078652 -0.1630250711
## [4847,]  1.117329350  1.1190795402
## [4848,]  0.551370238  0.5492552685
## [4849,]  0.944397399  0.9449665683
## [4850,]  0.449183176  0.4463703306
## [4851,]  0.472764806  0.4701130086
## [4852,]  0.001132212 -0.0047405512
## [4853,] -0.060180025 -0.0664715139
## [4854,] -0.589980638 -0.5998903460
## [4855,]  0.158343077  0.1535439688
## [4856,] -0.156078652 -0.1630250711
## [4857,] -1.256554704 -1.0157354367
## [4858,] -1.335160136 -1.1131120734
## [4859,]  2.856710355  2.8703394685
## [4860,]  1.851818509  1.8585848172
## [4861,]  2.123478883  2.1321004676
## [4862,]  0.865791967  0.8658243083
## [4863,] -0.942132975 -0.9544476706
## [4864,] -0.464998001 -0.4740541527
## [4865,] -1.187381923 -1.2013715217
## [4866,] -0.061752133 -0.0680543591
## [4867,] -0.879248629 -0.8911338626
## [4868,]  1.375155168  1.3786661529
## [4869,]  0.130045121  0.1250527552
## [4870,]  1.180213696  1.1823933482
## [4871,]  0.101747166  0.0965615416
## [4872,]  0.661417843  0.6600544325
## [4873,]  0.221227423  0.2168577767
## [4874,]  0.001132212 -0.0047405512
## [4875,] -0.140357566 -0.1471966191
## [4876,]  1.730451722  1.7363891678
## [4877,] -0.218962998 -0.2263388790
## [4878,]  2.507073392  2.5183146962
## [4879,]  0.144194099  0.1392983620
## [4880,]  1.840499327  1.8471883318
## [4881,]  0.865791967  0.8658243083
## [4882,] -0.044458938 -0.0506430619
## [4883,] -0.931128214 -0.9433677542
## [4884,] -0.549105813 -0.5587363708
## [4885,] -1.225112531 -1.2393598064
## [4886,]  0.299832855  0.2960000367
## [4887,] -0.618278594 -0.6283815596
## [4888,] -1.492371000 -1.3078653467
## [4889,] -1.492371000 -1.3078653467
## [4890,]  0.551370238  0.5492552685
## [4891,] -1.105632274 -1.1190635713
## [4892,]  0.236948509  0.2326862287
## [4893,] -0.140357566 -0.1471966191
## [4894,] -0.093194306  0.4254292886
## [4895,]  1.416029993  1.4198201280
## [4896,] -0.124636479 -0.1313681671
## [4897,]  0.472764806  0.4701130086
## [4898,] -0.706316678 -0.7170208907
## [4899,] -1.099343839 -1.1127321905
## [4900,] -1.413765568 -1.4293012303
## [4901,]  1.856220413  1.8630167838
## [4902,]  0.472764806  0.4701130086
## [4903,] -0.083321464 -0.0897709952
## [4904,] -0.538069611 -0.5476247975
## [4905,] -0.093194306 -0.0997112631
## [4906,] -0.281847344 -0.2896526870
## [4907,] -0.684307157 -0.6948610580
## [4908,] -1.071045883 -1.0842409769
## [4909,] -0.247260954 -0.2548300926
## [4910,] -0.734614633 -0.7455121043
## [4911,] -0.627711246 -0.6378786308
## [4912,] -0.887109172 -0.8990480886
## [4913,]  0.916099444  0.9164753547
## [4914,]  0.019997516  0.0142535912
## [4915,]  1.416029993  1.4198201280
## [4916,]  0.472764806  0.4701130086
## [4917,]  1.887662586  1.8946736878
## [4918,]  1.101608264  1.1032510882
## [4919,]  0.700720559  0.6996255624
## [4920,] -0.541245270 -0.5508221448
## [4921,]  1.180213696  1.1823933482
## [4922,]  0.101747166  0.0965615416
## [4923,] -0.156078652 -0.1630250711
## [4924,] -0.784922110 -0.7961631507
## [4925,]  0.686571581  0.6853799556
## [4926,] -0.475216707 -0.4843426465
## [4927,]  1.180213696  1.1823933482
## [4928,]  0.771465448  0.7708535964
## [4929,] -1.570976433 -1.5875857502
## [4930,] -1.728187297 -1.7458702702
## [4931,]  0.565519216  0.5635008753
## [4932,] -0.324294277 -0.3323895074
## [4933,] -0.470500381 -0.4795941109
## [4934,] -0.863527542 -0.8753054107
## [4935,] -1.099343839 -0.8209821634
## [4936,] -1.649581865 -1.5026186200
## [4937,]  1.180213696  1.1823933482
## [4938,]  0.101747166  0.0965615416
## [4939,]  2.752322341  3.9504730323
## [4940,] -1.759629470 -1.7296144500
## [4941,]  0.079737645  0.0744017088
## [4942,] -0.784922110 -0.7961631507
## [4943,] -1.020738407 -1.0335899306
## [4944,] -1.335160136 -1.3501589704
## [4945,]  2.046445559  2.0545410529
## [4946,]  0.285683877  0.2817544299
## [4947,]  0.787186535  0.7866820484
## [4948,] -0.470500381 -0.4795941109
## [4949,]  0.551370238  0.5492552685
## [4950,] -1.105632274 -1.1190635713
## [4951,] -0.013960031 -0.0199358651
## [4952,] -0.566399008 -0.5761476680
## [4953,]  1.416029993  1.4198201280
## [4954,]  0.472764806  0.4701130086
## [4955,]  0.236948509  0.2326862287
## [4956,] -0.077473220 -0.0838828111
## [4957,]  0.236948509  0.2326862287
## [4958,] -0.077473220 -0.0838828111
## [4959,]  1.957621421  1.9651102991
## [4960,]  0.780898100  0.7803506676
## [4961,] -1.044320037 -1.0573326085
## [4962,] -1.531673716 -1.5480146203
## [4963,] -0.156078652 -0.1630250711
## [4964,] -1.154367642 -1.1681317725
## [4965,] -1.649581865 -1.6099830098
## [4966,] -1.791071643 -1.7637880778
## [4967,]  2.453621698  2.4644979594
## [4968,]  0.850070881  0.8499958564
## [4969,]  0.857931424  0.8579100823
## [4970,] -0.121492262 -0.1282024767
## [4971,]  0.565519216  0.5635008753
## [4972,] -0.324294277 -0.3323895074
## [4973,] -0.218962998 -0.2263388790
## [4974,] -0.722037764 -0.7328493427
## [4975,] -0.549105813 -0.5587363708
## [4976,] -1.075762209 -1.0889895125
## [4977,]  2.044873451  2.0529582077
## [4978,]  1.573240857  1.5781046479
## [4979,]  0.472764806  0.4701130086
## [4980,] -0.784922110 -0.7961631507
## [4981,] -1.256554704 -1.2710167104
## [4982,] -0.784922110 -0.7961631507
## [4983,] -1.256554704 -1.2710167104
## [4984,]  1.416029993  1.4198201280
## [4985,]  0.111179817  0.1060586128
## [4986,]  1.136194654  1.1380736826
## [4987,] -0.218962998 -0.2263388790
## [4988,]  0.857931424  0.8579100823
## [4989,] -0.121492262 -0.1282024767
## [4990,] -0.145073892 -0.1519451547
## [4991,] -0.633999680 -0.6442100116
## [4992,]  2.013431278  2.0213013037
## [4993,]  0.362717201  0.3593138446
## [4994,] -0.627711246 -0.6378786308
## [4995,] -0.863527542 -0.8753054107
## [4996,]  2.437900612  2.4486695074
## [4997,]  0.158343077  0.1535439688
## [4998,]  0.394159374  0.3909707486
## [4999,] -0.391894949 -0.4004518509
## [5000,]  0.079737645  0.0744017088
## [5001,] -0.470500381 -0.4795941109
## [5002,] -1.020738407 -1.0335899306
## [5003,] -1.099343839 -1.1127321905
## [5004,] -1.979724680 -1.9991255020
## [5005,]  0.243236944  0.2390176095
## [5006,] -0.355736450 -0.3640464113
## [5007,]  1.730451722  1.7363891678
## [5008,] -0.218962998 -0.2263388790
## [5009,]  1.714730635  1.7205607159
## [5010,] -0.175730010 -0.1828106361
## [5011,]  0.565519216  0.5635008753
## [5012,] -0.324294277 -0.3323895074
## [5013,]  1.941114280  1.9484904245
## [5014,]  0.507351196  0.5049356030
## [5015,]  0.661417843  0.6600544325
## [5016,]  0.441322633  0.4384561046
## [5017,]  1.070166091  1.0715941842
## [5018,] -1.020738407 -1.0335899306
## [5019,] -0.281847344 -0.2896526870
## [5020,] -1.232973074 -1.2472740324
## [5021,]  1.604683030  1.6097615519
## [5022,] -0.329010603 -0.3371380430
## [5023,]  1.023788886  1.0249002509
## [5024,] -0.578975878 -0.5888104296
## [5025,]  1.730451722  1.7363891678
## [5026,] -0.218962998 -0.2263388790
## [5027,]  1.070166091  1.0715941842
## [5028,] -1.020738407 -1.0335899306
## [5029,] -0.313289517 -0.3213095910
## [5030,] -1.020738407 -1.0335899306
## [5031,]  1.573240857  1.5781046479
## [5032,]  0.787186535  0.7866820484
## [5033,]  1.101608264  1.1032510882
## [5034,]  0.315553941  0.3118284887
## [5035,] -0.077473220 -0.0838828111
## [5036,] -0.549105813 -0.5587363708
## [5037,]  0.535649152  0.5334268165
## [5038,] -0.423337122 -0.4321087549
## [5039,] -1.177949271 -1.1918744505
## [5040,] -1.335160136 -1.3501589704
## [5041,]  0.290400203  0.2865029655
## [5042,] -0.931128214 -0.9433677542
## [5043,]  0.565519216  0.5635008753
## [5044,] -0.324294277 -0.3323895074
## [5045,]  1.699009549  1.7047322639
## [5046,]  0.629975670  0.6283975285
## [5047,]  0.299832855  0.2960000367
## [5048,] -0.618278594 -0.6283815596
## [5049,] -1.099343839 -1.1127321905
## [5050,] -1.256554704 -1.2710167104
## [5051,] -0.211023849 -0.2183455108
## [5052,] -0.770851738 -0.7819966862
## [5053,]  0.787186535  0.7866820484
## [5054,]  0.001132212 -0.0047405512
## [5055,]  0.831205577  0.8310017140
## [5056,] -0.717321438 -0.7281008071
## [5057,]  1.970984344  1.9785644833
## [5058,]  0.527788608  0.5255125905
## [5059,]  0.290400203  0.2865029655
## [5060,] -0.703172461 -0.7138552003
## [5061,]  1.416029993  1.4198201280
## [5062,]  0.001132212 -0.0047405512
## [5063,] -0.313289517 -0.3213095910
## [5064,] -0.470500381 -0.4795941109
## [5065,] -0.894969715 -0.9069623146
## [5066,]  1.543370793  1.5480305892
## [5067,] -0.063324242 -0.0696372043
## [5068,]  0.425601546  0.4226276526
## [5069,] -0.501942554 -0.5112510149
## [5070,] -0.464998001 -0.4740541527
## [5071,] -1.187381923 -1.2013715217
## [5072,]  0.629975670  0.6283975285
## [5073,] -0.470500381 -0.4795941109
## [5074,]  1.375155168  1.3786661529
## [5075,] -0.268169999 -0.2758819338
## [5076,]  1.543370793  1.5480305892
## [5077,] -0.063324242 -0.0696372043
## [5078,]  0.315553941  0.3118284887
## [5079,] -0.391894949 -0.4004518509
## [5080,] -0.706316678 -0.7170208907
## [5081,] -0.942132975 -0.9544476706
## [5082,]  2.627654125  2.6397189230
## [5083,]  0.327030334  0.3233832586
## [5084,]  0.315553941  0.3118284887
## [5085,] -0.391894949 -0.4004518509
## [5086,]  0.137905664  0.1329669812
## [5087,] -0.409093817 -0.4177681774
## [5088,]  1.136194654  1.1380736826
## [5089,] -0.218962998 -0.2263388790
## [5090,]  0.252669595  0.2485146807
## [5091,] -0.344731690 -0.3529664950
## [5092,] -1.177949271 -1.0972836214
## [5093,] -1.382323395 -1.3194517735
## [5094,]  2.885951576  2.8997803892
## [5095,]  0.480625349  0.4780272346
## [5096,]  1.461951286  1.4660550363
## [5097,]  0.316261390  0.3125407690
## [5098,]  1.543370793  1.5480305892
## [5099,] -0.063324242 -0.0696372043
## [5100,] -1.177949271 -0.9183588001
## [5101,] -1.382323395 -1.1715507181
## [5102,]  1.180213696  1.1823933482
## [5103,]  0.101747166  0.0965615416
## [5104,]  1.689576897  1.6952351927
## [5105,]  0.953830051  0.9544636395
## [5106,] -1.335160136 -1.3501589704
## [5107,] -1.570976433 -1.5875857502
## [5108,]  2.249247574  2.2587280835
## [5109,]  0.472764806  0.4701130086
## [5110,]  1.730451722  1.7363891678
## [5111,]  0.661417843  0.6600544325
## [5112,]  0.315553941  0.3118284887
## [5113,] -0.391894949 -0.4004518509
## [5114,] -0.800643197 -0.8119916027
## [5115,] -0.313289517 -0.3213095910
## [5116,] -0.784922110 -0.7961631507
## [5117,]  1.305982388  1.3090209641
## [5118,]  0.252669595  0.2485146807
## [5119,]  0.552942347  0.5508381137
## [5120,] -0.351020124 -0.3592978758
## [5121,] -0.706316678 -0.7170208907
## [5122,] -1.099343839 -1.1127321905
## [5123,]  0.158343077  0.1535439688
## [5124,] -1.492371000 -1.5084434903
## [5125,]  1.431751079  1.4356485800
## [5126,]  0.205506336  0.2010293247
## [5127,] -0.470500381 -0.4795941109
## [5128,] -0.942132975 -0.9544476706
## [5129,]  1.070166091  1.0715941842
## [5130,] -0.501942554 -0.5112510149
## [5131,]  0.944397399  0.9449665683
## [5132,]  0.284111768  0.2801715847
## [5133,]  2.532227130  2.5436402194
## [5134,]  0.198274636  0.1937482368
## [5135,] -1.696745124 -1.5610572647
## [5136,] -1.806792729 -1.6973718933
## [5137,]  1.710800364  1.7166036029
## [5138,]  0.551370238  0.5492552685
## [5139,]  1.180213696  1.1823933482
## [5140,] -0.077473220 -0.0838828111
## [5141,]  1.205367434  1.2077188713
## [5142,] -0.154506544 -0.1614422259
## [5143,] -1.649581865 -1.6099830098
## [5144,] -1.791071643 -1.7637880778
## [5145,]  0.629975670  0.6283975285
## [5146,]  0.236948509  0.2326862287
## [5147,]  0.394159374  0.3909707486
## [5148,]  0.158343077  0.1535439688
## [5149,]  1.533938141  1.5385335180
## [5150,]  0.350140331  0.3466510830
## [5151,]  1.533938141  1.5385335180
## [5152,]  0.350140331  0.3466510830
## [5153,]  0.057728124  0.0522418760
## [5154,] -0.678018722 -0.6885296772
## [5155,] -0.156078652 -0.1630250711
## [5156,] -1.154367642 -1.1681317725
## [5157,]  0.517569902  0.5152240967
## [5158,] -0.580547986 -0.5903932748
## [5159,]  0.001132212 -0.0047405512
## [5160,] -0.470500381 -0.4795941109
## [5161,] -0.706316678 -0.7170208907
## [5162,] -0.863527542 -0.8753054107
## [5163,]  2.453621698  2.4644979594
## [5164,]  0.850070881  0.8499958564
## [5165,]  0.158343077  0.1535439688
## [5166,] -0.234684084 -0.2421673310
## [5167,] -1.020738407 -0.7236055268
## [5168,] -1.177949271 -0.9183588001
## [5169,] -0.376173862 -0.3846233989
## [5170,] -0.998728886 -1.0114300978
## [5171,]  1.302209327  1.3052221356
## [5172,]  0.304234759  0.3004320032
## [5173,] -0.218962998 -0.2263388790
## [5174,] -0.722037764 -0.7328493427
## [5175,]  0.565519216  0.5635008753
## [5176,] -0.324294277 -0.3323895074
## [5177,]  0.284111768  0.2801715847
## [5178,] -0.313289517 -0.3213095910
## [5179,]  0.565519216  0.5635008753
## [5180,] -0.324294277 -0.3323895074
## [5181,]  0.197645793  0.1931150987
## [5182,] -0.313289517 -0.3213095910
## [5183,]  1.421532373  1.4253600862
## [5184,]  0.391015156  0.3878050582
## [5185,]  1.533938141  1.5385335180
## [5186,]  0.350140331  0.3466510830
## [5187,]  0.064016558  0.0585732568
## [5188,] -0.533384727 -0.5429079188
## [5189,]  0.284111768  0.2801715847
## [5190,] -0.313289517 -0.3213095910
## [5191,]  0.057728124  0.0522418760
## [5192,] -0.667013962 -0.6774497608
## [5193,] -0.877676520 -0.8895510174
## [5194,] -1.218824096 -1.2330284256
## [5195,]  0.441322633  0.4384561046
## [5196,]  0.032574385  0.0269163528
## [5197,]  0.661417843  0.6600544325
## [5198,]  0.221227423  0.2168577767
## [5199,]  1.309126605  1.3121866545
## [5200,] -0.156078652 -0.1630250711
## [5201,]  0.692860016  0.6917113364
## [5202,]  0.174064163  0.1693724207
## [5203,]  1.180213696  1.1823933482
## [5204,]  0.101747166  0.0965615416
## [5205,]  0.944397399  0.9449665683
## [5206,]  0.158343077  0.1535439688
## [5207,]  0.057728124  0.0522418760
## [5208,] -0.667013962 -0.6774497608
## [5209,]  0.565519216  0.5635008753
## [5210,] -0.324294277 -0.3323895074
## [5211,] -0.077473220 -0.0838828111
## [5212,] -0.470500381 -0.4795941109
## [5213,]  0.881513053  0.8816527603
## [5214,] -0.313289517 -0.3213095910
## [5215,]  0.057728124  0.0522418760
## [5216,] -0.667013962 -0.6774497608
## [5217,] -0.060180025 -0.0664715139
## [5218,] -0.589980638 -0.5998903460
## [5219,]  1.431751079  1.4356485800
## [5220,]  0.079737645  0.0744017088
## [5221,]  0.700720559  0.6996255624
## [5222,] -0.541245270 -0.5508221448
## [5223,] -0.627711246 -0.6378786308
## [5224,] -1.256554704 -1.2710167104
## [5225,]  0.771465448  0.7708535964
## [5226,] -0.077473220 -0.0838828111
## [5227,]  0.787186535  0.7866820484
## [5228,]  0.315553941  0.3118284887
## [5229,]  0.003018743 -0.0028411369
## [5230,] -0.468991157 -0.4780745795
## [5231,]  1.620404116  1.6255900039
## [5232,]  0.284111768  0.2801715847
## [5233,]  0.787186535  0.7866820484
## [5234,]  0.315553941  0.3118284887
## [5235,]  0.565519216  0.5635008753
## [5236,] -0.324294277 -0.3323895074
## [5237,]  0.450755285  0.4479531758
## [5238,] -0.110801923 -0.1174391293
## [5239,]  1.651846289  1.6572469079
## [5240,]  0.299832855  0.2960000367
## [5241,]  0.079737645  0.0744017088
## [5242,] -0.784922110 -0.7961631507
## [5243,]  0.023298944  0.0175775662
## [5244,] -0.090050089 -0.0965455727
## [5245,]  0.023298944  0.0175775662
## [5246,] -0.543446222 -0.5530381281
## [5247,]  1.604683030  1.6097615519
## [5248,] -0.329010603 -0.3371380430
## [5249,]  0.679811514  0.6785737213
## [5250,] -0.525838605 -0.5353102619
## [5251,]  1.573240857  1.5781046479
## [5252,] -0.391894949 -0.4004518509
## [5253,] -0.061752133 -0.0680543591
## [5254,] -0.879248629 -0.8911338626
## [5255,]  0.787186535  1.5160571161
## [5256,]  0.236948509  0.8344206596
## [5257,] -0.627711246 -0.2367223435
## [5258,] -0.942132975 -0.6262288901
## [5259,]  1.730451722  1.7363891678
## [5260,] -0.218962998 -0.2263388790
## [5261,]  2.823067230  2.8364665812
## [5262,]  1.881374152  1.8883423070
## [5263,]  1.581101400  1.5860188739
## [5264,]  0.150482534  0.1456297428
## [5265,] -0.549105813 -0.5587363708
## [5266,] -0.706316678 -0.7170208907
## [5267,]  1.573240857  1.5781046479
## [5268,]  0.315553941  0.3118284887
## [5269,]  0.768321231  0.7676879060
## [5270,] -0.703172461 -0.7138552003
## [5271,] -0.878698391 -0.8905798668
## [5272,] -1.446465428 -1.4622244105
## [5273,]  1.136194654  1.1380736826
## [5274,] -0.218962998 -0.2263388790
## [5275,] -0.571115334 -0.5808962036
## [5276,] -1.413765568 -1.4293012303
## [5277,]  0.001132212 -0.0047405512
## [5278,] -0.313289517 -0.3213095910
## [5279,]  1.667567376  1.6730753599
## [5280,]  0.158343077  0.1535439688
## [5281,]  0.472764806  0.4701130086
## [5282,]  0.236948509  0.2326862287
## [5283,] -0.533384727 -0.5429079188
## [5284,] -1.130786012 -1.1443890945
## [5285,]  1.494635425  1.4989623880
## [5286,]  0.944397399  0.9449665683
## [5287,] -0.534422319 -0.5439525967
## [5288,] -1.073152509 -1.0863619895
## [5289,]  2.095180927  2.1036092540
## [5290,]  0.611110367  0.6094033861
## [5291,]  1.101608264  1.1032510882
## [5292,]  0.001132212 -0.0047405512
## [5293,]  0.661417843  0.6600544325
## [5294,]  0.221227423  0.2168577767
## [5295,] -1.791071643 -1.8091840781
## [5296,]  0.875853462  0.8759545176
## [5297,] -0.115203827 -0.1218710959
## [5298,]  0.680283147  0.6790485749
## [5299,]  0.101747166  0.0965615416
## [5300,]  0.724302189  0.7233682404
## [5301,] -0.454779295 -0.4637656589
## [5302,] -1.225112531 -1.2393598064
## [5303,] -1.602418605 -1.6192426542
## [5304,]  0.236948509  0.2326862287
## [5305,] -0.277131018 -0.2849041514
## [5306,]  1.478914338  1.4831339360
## [5307,]  0.740023275  0.7391966924
## [5308,]  2.799485600  2.8127239032
## [5309,]  0.960118486  0.9607950203
## [5310,]  1.368866733  1.3723347721
## [5311,]  0.809982110  0.8096333038
## [5312,]  1.243098042  1.2457071561
## [5313,]  0.881513053  0.8816527603
## [5314,]  1.274540215  1.2773640601
## [5315,] -0.250405171 -0.2579957830
## [5316,]  0.531718880  0.5294697035
## [5317,]  0.243236944  0.2390176095
## [5318,]  0.394159374  0.3909707486
## [5319,] -0.391894949 -0.4004518509
## [5320,]  0.046723363  0.0411619596
## [5321,] -0.506658880 -0.5159995505
## [5322,]  2.136055752  2.1447632292
## [5323,]  0.073449210  0.0680703280
## [5324,]  2.188249759  2.1973136898
## [5325,]  0.667706278  0.6663858133
## [5326,]  0.472733364  0.4700813517
## [5327,] -1.806792729 -1.8250125301
## [5328,]  1.258819128  1.2615356081
## [5329,]  0.252669595  0.2485146807
## [5330,]  1.699009549  1.7047322639
## [5331,]  1.180213696  1.1823933482
## [5332,]  0.101747166  0.0965615416
## [5333,]  0.629975670  0.6283975285
## [5334,]  0.001132212 -0.0047405512
## [5335,]  0.724302189  0.7233682404
## [5336,] -0.454779295 -0.4637656589
## [5337,]  1.085887177  1.0874226362
## [5338,] -0.140357566 -0.1471966191
## [5339,]  1.258819128  1.2615356081
## [5340,]  0.881513053  0.8816527603
## [5341,]  0.661417843  0.6600544325
## [5342,]  0.221227423  0.2168577767
## [5343,]  2.359295180  2.3695272475
## [5344,]  1.730451722  1.7363891678
## [5345,] -0.046031047 -0.0522259071
## [5346,] -0.910690802 -0.9227907666
## [5347,]  0.787186535  0.7866820484
## [5348,] -0.156078652 -0.1630250711
## [5349,] -0.627711246 -0.6378786308
## [5350,] -1.256554704 -1.2710167104
## [5351,]  2.112631333  2.1211788357
## [5352,]  0.049710369  0.0441693655
## [5353,]  1.754033351  1.7601318458
## [5354,] -0.242544628 -0.2500815570
## [5355,] -1.049036362 -1.0620811441
## [5356,]  0.857931424  0.8579100823
## [5357,] -0.121492262 -0.1282024767
## [5358,] -0.077473220 -0.0838828111
## [5359,] -0.690595591 -0.7011924388
## [5360,]  0.629975670  0.6283975285
## [5361,]  0.158343077  0.1535439688
## [5362,]  1.970984344  1.9785644833
## [5363,]  0.527788608  0.5255125905
## [5364,] -0.470500381 -0.0419690702
## [5365,] -0.784922110 -0.4314756168
## [5366,]  0.517569902  0.5152240967
## [5367,] -0.580547986 -0.5903932748
## [5368,]  0.831205577  0.8310017140
## [5369,] -0.717321438 -0.7281008071
## [5370,]  1.023002831  1.0241088283
## [5371,]  0.394159374  0.3909707486
## [5372,]  1.240834205  1.2434278590
## [5373,] -0.084704920 -0.0911638990
## [5374,]  0.197645793  0.1931150987
## [5375,] -0.313289517 -0.3213095910
## [5376,] -0.156078652 -0.1630250711
## [5377,] -0.549105813 -0.5587363708
## [5378,] -0.209530346 -0.2168418078
## [5379,] -0.639030428 -0.6492751162
## [5380,]  1.117329350  1.1190795402
## [5381,]  0.551370238  0.5492552685
## [5382,] -1.036459493 -1.0494183826
## [5383,] -1.413765568 -1.4293012303
## [5384,] -1.413765568 -1.2104887100
## [5385,] -1.570976433 -1.4052419833
## [5386,] -1.256554704 -1.2710167104
## [5387,] -1.413765568 -1.4293012303
## [5388,]  2.060594537  2.0687866597
## [5389,]  0.724302189  0.7233682404
## [5390,] -0.061752133 -0.0680543591
## [5391,] -0.879248629 -0.8911338626
## [5392,] -1.264415247 -1.2789309364
## [5393,] -1.627572344 -1.6445681774
## [5394,]  0.551370238  0.5492552685
## [5395,]  0.001132212 -0.0047405512
## [5396,] -0.077473220 -0.0838828111
## [5397,] -0.549105813 -0.5587363708
## [5398,]  1.636125203  1.6414184559
## [5399,]  0.787186535  0.7866820484
## [5400,]  1.730451722  1.7363891678
## [5401,] -0.218962998 -0.2263388790
## [5402,]  2.060594537  2.0687866597
## [5403,]  0.488485892  0.4859414606
## [5404,]  2.123478883  2.1321004676
## [5405,]  0.944397399  0.9449665683
## [5406,] -1.264022220 -1.2785352251
## [5407,] -1.385467612 -1.4008100168
## [5408,]  0.661417843  0.6600544325
## [5409,]  0.221227423  0.2168577767
## [5410,]  0.441322633  0.4384561046
## [5411,]  0.032574385  0.0269163528
## [5412,]  0.158343077  0.1535439688
## [5413,] -1.728187297 -1.7458702702
## [5414,] -0.391894949 -0.4004518509
## [5415,] -0.863527542 -0.8753054107
## [5416,] -0.313289517 -0.3213095910
## [5417,] -0.627711246 -0.6378786308
## [5418,] -1.649581865 -1.6099830098
## [5419,] -1.791071643 -1.7637880778
## [5420,] -0.077473220 -0.0838828111
## [5421,] -0.470500381 -0.4795941109
## [5422,]  2.095180927  2.1036092540
## [5423,]  0.611110367  0.6094033861
## [5424,]  1.180213696  1.1823933482
## [5425,]  0.284111768  0.2801715847
## [5426,] -0.156078652 -0.1630250711
## [5427,] -0.706316678 -0.7170208907
## [5428,] -0.313273796 -0.3212937625
## [5429,] -1.226574592 -1.2408318525
## [5430,] -0.093194306 -0.0997112631
## [5431,] -1.099343839 -1.1127321905
## [5432,]  0.865791967  0.8658243083
## [5433,]  0.001132212 -0.0047405512
## [5434,]  0.620543018  0.6189004573
## [5435,] -0.286799486 -0.2946386494
## [5436,]  0.857931424  0.8579100823
## [5437,] -0.121492262 -0.1282024767
## [5438,]  0.001132212 -0.0047405512
## [5439,] -0.313289517 -0.3213095910
## [5440,] -0.470500381 -0.4795941109
## [5441,] -0.470500381 -0.4795941109
## [5442,]  0.346996114  0.3434853926
## [5443,] -0.627711246 -0.6378786308
## [5444,]  1.730451722  1.7363891678
## [5445,] -0.218962998 -0.2263388790
## [5446,] -0.627711246 -0.6378786308
## [5447,] -0.942132975 -0.9544476706
## [5448,] -1.413765568 -1.4293012303
## [5449,] -0.706316678 -1.1476972410
## [5450,] -1.649581865 -1.5019538250
## [5451,] -1.460928827 -1.4767865863
## [5452,] -0.470500381 -0.4795941109
## [5453,]  0.290400203  0.2865029655
## [5454,] -0.931128214 -0.9433677542
## [5455,]  0.001132212 -0.0047405512
## [5456,] -0.863527542 -0.8753054107
## [5457,]  0.174064163  0.1693724207
## [5458,] -1.020738407 -1.0335899306
## [5459,]  1.416029993  1.4198201280
## [5460,]  0.115110089  0.1100157258
## [5461,]  1.730451722  1.7363891678
## [5462,] -0.218962998 -0.2263388790
## [5463,]  2.005570734  2.0133870777
## [5464,]  0.881513053  0.8816527603
## [5465,]  0.236948509  0.2326862287
## [5466,]  0.001132212 -0.0047405512
## [5467,]  1.136194654  1.1380736826
## [5468,] -0.218962998 -0.2263388790
## [5469,]  1.361006190  1.3644205461
## [5470,]  0.409880460  0.4067992006
## [5471,]  0.079737645  0.0744017088
## [5472,] -0.470500381 -0.4795941109
## [5473,]  0.359572983  0.3561481542
## [5474,] -0.627711246 -0.6378786308
## [5475,]  1.730451722  1.7363891678
## [5476,] -0.218962998 -0.2263388790
## [5477,]  0.335205299  0.3316140537
## [5478,] -0.568757171 -0.5785219358
## [5479,] -1.413765568 -1.4293012303
## [5480,] -0.784922110 -0.7961631507
## [5481,]  2.359295180  2.7479063923
## [5482,] -0.061752133 -0.0680543591
## [5483,] -1.177949271 -1.1918744505
## [5484,] -0.061752133 -0.0680543591
## [5485,] -1.177949271 -1.1918744505
## [5486,]  0.001132212 -0.0047405512
## [5487,] -0.784922110 -0.7961631507
## [5488,] -1.382323395 -1.3976443264
## [5489,] -1.492371000 -1.5084434903
## [5490,]  0.079737645  0.0744017088
## [5491,] -0.156078652 -0.1630250711
## [5492,] -1.791071643 -1.8091840781
## [5493,]  1.533938141  1.5385335180
## [5494,]  0.350140331  0.3466510830
## [5495,] -0.627711246 -0.6378786308
## [5496,] -1.256554704 -1.2710167104
## [5497,]  1.258819128  1.2615356081
## [5498,] -0.154506544 -0.1614422259
## [5499,]  2.316848246  2.3267904271
## [5500,]  0.758888579  0.7581908348
## [5501,]  0.850070881  0.8499958564
## [5502,]  0.181924706  0.1772866467
## [5503,] -0.093194306 -0.0997112631
## [5504,] -1.146507098 -1.1602175465
## [5505,] -0.981435691 -0.9940188006
## [5506,] -1.374462852 -1.3897301004
## [5507,]  0.158343077  0.1535439688
## [5508,] -0.234684084 -0.2421673310
## [5509,]  1.038723918  1.0399372802
## [5510,]  0.535649152  0.5334268165
## [5511,] -0.942132975 -0.6262288901
## [5512,] -1.649581865 -1.5026186200
## [5513,]  1.620404116  1.6255900039
## [5514,]  0.101747166  0.0965615416
## [5515,]  1.809057154  1.8155314278
## [5516,]  0.787186535  0.7866820484
## [5517,]  1.054445004  1.0557657322
## [5518,]  0.551370238  0.5492552685
## [5519,]  0.430317872  0.4273761882
## [5520,] -0.214246672 -0.2215903434
## [5521,] -1.052180580 -1.0652468345
## [5522,] -1.225112531 -1.2393598064
## [5523,]  0.920029715  0.9204324677
## [5524,]  0.324200539  0.3205341373
## [5525,] -1.225112531 -1.2393598064
## [5526,] -1.413765568 -1.4293012303
## [5527,]  0.787186535  0.7866820484
## [5528,] -0.313289517 -0.3213095910
## [5529,]  0.629975670  0.6283975285
## [5530,]  0.236948509  0.2326862287
## [5531,]  0.236948509  0.2326862287
## [5532,] -0.077473220 -0.0838828111
## [5533,]  1.136194654  1.1380736826
## [5534,] -0.218962998 -0.2263388790
## [5535,]  2.931542726  2.9456828999
## [5536,]  0.817056599  0.8167561072
## [5537,]  0.626045399  0.6244404155
## [5538,] -0.295996322 -0.3038982938
## [5539,]  1.887662586  1.8946736878
## [5540,] -0.863527542 -0.8753054107
## [5541,]  0.315553941  0.3118284887
## [5542,] -0.470500381 -0.4795941109
## [5543,] -0.512947315 -0.5223309313
## [5544,] -1.272275790 -1.2868451624
## [5545,]  0.504206979  0.5017699126
## [5546,] -0.093194306 -0.0997112631
## [5547,]  1.478914338  1.4831339360
## [5548,]  0.787186535  0.7866820484
## [5549,] -0.470500381 -0.4795941109
## [5550,] -0.784922110 -0.7961631507
## [5551,]  1.730451722  1.7363891678
## [5552,]  0.394159374  0.3909707486
## [5553,]  0.629975670  0.6283975285
## [5554,]  0.001132212 -0.0047405512
## [5555,]  0.944397399  0.9449665683
## [5556,]  0.158343077  0.1535439688
## [5557,]  0.944397399  0.9449665683
## [5558,]  0.158343077  0.1535439688
## [5559,]  0.944397399  0.9449665683
## [5560,]  0.158343077  0.1535439688
## [5561,]  0.944397399  0.9449665683
## [5562,]  0.158343077  0.1535439688
## [5563,]  0.944397399  0.9449665683
## [5564,]  0.158343077  0.1535439688
## [5565,]  1.573240857  1.5781046479
## [5566,] -0.784922110 -0.7961631507
## [5567,]  1.180213696  1.1823933482
## [5568,]  0.394159374  0.3909707486
## [5569,]  0.944397399  0.9449665683
## [5570,]  0.158343077  0.1535439688
## [5571,]  0.944397399  0.9449665683
## [5572,]  0.158343077  0.1535439688
## [5573,]  0.944397399  0.9449665683
## [5574,]  0.158343077  0.1535439688
## [5575,]  1.361006190  1.3644205461
## [5576,]  0.409880460  0.4067992006
## [5577,] -0.706316678 -0.7170208907
## [5578,] -0.745619394 -0.7565920207
## [5579,]  3.459771231  3.4775188868
## [5580,]  0.787186535  0.7866820484
## [5581,]  1.730451722  1.7363891678
## [5582,]  1.180213696  1.1823933482
## [5583,]  3.459771231  3.4775188868
## [5584,]  0.787186535  0.7866820484
## [5585,]  0.576523976  0.5745807917
## [5586,] -0.525524184 -0.5349936928
## [5587,] -1.099343839 -1.1127321905
## [5588,] -1.413765568 -1.4293012303
## [5589,]  2.351434636  2.3616130215
## [5590,]  1.496207534  1.5005452332
## [5591,]  1.133050437  1.1349079922
## [5592,] -0.187520825 -0.1946819750
## [5593,]  0.901950466  0.9022297479
## [5594,] -0.011444657 -0.0174033127
## [5595,]  2.233526488  2.2428996316
## [5596,]  0.229087966  0.2247720027
## [5597,]  2.236670705  2.2460653220
## [5598,]  0.229087966  0.2247720027
## [5599,]  0.218083205  0.2136920863
## [5600,] -0.376173862 -0.3846233989
## [5601,]  0.158343077  0.1535439688
## [5602,] -0.470500381 -0.4795941109
## [5603,] -0.156078652 -0.1630250711
## [5604,] -0.470500381 -0.4795941109
## [5605,] -0.470500381 -0.4795941109
## [5606,]  2.044873451  2.0529582077
## [5607,]  0.944397399  0.9449665683
## [5608,]  0.315553941  0.3118284887
## [5609,]  0.001132212 -0.0047405512
## [5610,]  0.787186535  0.7866820484
## [5611,]  0.315553941  0.3118284887
## [5612,]  1.180213696  1.1823933482
## [5613,]  0.394159374  0.3909707486
## [5614,]  0.626045399  0.6244404155
## [5615,] -0.295996322 -0.3038982938
## [5616,] -0.417048687 -0.4257773741
## [5617,] -1.064757449 -1.0779095961
## [5618,] -1.728187297 -1.5999952566
## [5619,] -1.806792729 -1.6973718933
## [5620,]  1.180213696  1.1823933482
## [5621,] -1.570976433 -1.5875857502
## [5622,]  0.186641032  0.1820351823
## [5623,] -0.448490860 -0.4574342781
## [5624,]  2.123478883  2.1321004676
## [5625,]  0.691287907  0.6901284912
## [5626,]  1.416029993  1.4198201280
## [5627,]  0.724302189  0.7233682404
## [5628,]  1.007281745  1.0082803763
## [5629,]  0.221227423  0.2168577767
## [5630,]  0.315553941  0.3118284887
## [5631,]  0.079737645  0.0744017088
## [5632,] -0.391894949 -0.4004518509
## [5633,] -0.816364283 -0.8278200547
## [5634,]  0.771465448  0.7708535964
## [5635,] -0.077473220 -0.0838828111
## [5636,]  1.730451722  1.7363891678
## [5637,]  0.787186535  0.7866820484
## [5638,] -0.784922110 -0.7159762129
## [5639,] -0.942132975 -0.6262288901
## [5640,] -1.256554704 -1.0157354367
## [5641,]  0.565519216  0.5635008753
## [5642,] -0.324294277 -0.3323895074
## [5643,]  0.787186535  0.7866820484
## [5644,] -0.077473220 -0.0838828111
## [5645,]  0.394159374  0.3909707486
## [5646,] -0.470500381 -0.4795941109
## [5647,] -0.077473220 -0.0838828111
## [5648,] -0.470500381 -0.4795941109
## [5649,]  1.604683030  1.6097615519
## [5650,] -0.329010603 -0.3371380430
## [5651,]  2.198940098  2.2080770372
## [5652,]  1.007281745  1.0082803763
## [5653,] -0.124636479 -0.1313681671
## [5654,] -0.981435691 -0.9940188006
## [5655,]  1.136194654  1.1380736826
## [5656,] -0.218962998 -0.2263388790
## [5657,]  1.101608264  1.1032510882
## [5658,]  0.236948509  0.2326862287
## [5659,] -1.649581865 -1.6099830098
## [5660,] -1.791071643 -1.7637880778
## [5661,]  2.057921952  2.0660958228
## [5662,]  0.365468391  0.3620838237
## [5663,]  0.708581102  0.7075397884
## [5664,]  0.158343077  0.1535439688
## [5665,]  1.970984344  1.9785644833
## [5666,]  0.527788608  0.5255125905
## [5667,]  0.394159374  0.3909707486
## [5668,] -0.077473220 -0.0838828111
## [5669,] -0.706316678 -0.7170208907
## [5670,] -1.020738407 -1.0335899306
## [5671,]  0.394159374  0.3909707486
## [5672,]  0.158343077  0.1535439688
## [5673,] -1.177949271 -0.9183588001
## [5674,] -1.728187297 -1.5999952566
## [5675,]  0.197645793  0.1931150987
## [5676,] -0.313289517 -0.3213095910
## [5677,] -1.264415247 -1.1912729693
## [5678,] -1.413765568 -1.3536254014
## [5679,]  0.383940667  0.3806822548
## [5680,] -0.363596993 -0.3719606373
## [5681,] -1.316294832 -1.2476697437
## [5682,] -1.460928827 -1.4049095858
## [5683,]  1.494635425  1.4989623880
## [5684,] -0.156078652 -0.1630250711
## [5685,]  1.278470486  1.2813211731
## [5686,] -0.175730010 -0.1828106361
## [5687,]  0.079737645  0.0744017088
## [5688,] -0.391894949 -0.4004518509
## [5689,]  1.447472166  1.4514770320
## [5690,]  0.708581102  0.7075397884
## [5691,]  0.079737645  0.0744017088
## [5692,] -0.391894949 -0.4004518509
## [5693,]  1.136194654  1.1380736826
## [5694,] -0.218962998 -0.2263388790
## [5695,]  0.158343077  0.1535439688
## [5696,] -0.156078652 -0.1630250711
## [5697,] -0.627711246 -0.6378786308
## [5698,] -1.256554704 -1.2710167104
## [5699,]  0.534454349  0.5322238542
## [5700,] -0.379946923 -0.3884222274
## [5701,]  0.001132212 -0.0047405512
## [5702,] -0.706316678 -0.7170208907
## [5703,]  3.145349502  4.4373562156
## [5704,] -1.570976433 -1.4052419833
## [5705,] -1.099343839 -1.0118416375
## [5706,] -1.885398161 -1.9041547901
## [5707,] -1.956143051 -1.9753828240
## [5708,]  0.394159374  0.3909707486
## [5709,] -0.470500381 -0.4795941109
## [5710,]  1.136194654  1.1380736826
## [5711,] -0.218962998 -0.2263388790
## [5712,]  1.085887177  1.0874226362
## [5713,] -0.140357566 -0.1471966191
## [5714,] -0.044458938 -0.0506430619
## [5715,] -0.931128214 -0.9433677542
## [5716,] -0.313289517 -0.3213095910
## [5717,] -0.784922110 -0.7961631507
## [5718,]  1.001936576  1.0028987026
## [5719,] -0.301341491 -0.3092799675
## [5720,] -0.044458938 -0.0506430619
## [5721,] -0.931128214 -0.9433677542
## [5722,]  0.315553941  0.3118284887
## [5723,]  0.001132212 -0.0047405512
## [5724,]  0.001132212 -0.0047405512
## [5725,] -0.627711246 -0.6378786308
## [5726,]  1.966268018  1.9738159477
## [5727,]  0.378438287  0.3751422966
## [5728,]  1.258819128  1.2615356081
## [5729,] -0.105771176 -0.1123740247
## [5730,]  1.180213696  1.1823933482
## [5731,]  0.101747166  0.0965615416
## [5732,]  0.787186535  0.7866820484
## [5733,] -0.313289517 -0.3213095910
## [5734,] -0.942132975 -0.9544476706
## [5735,] -1.225112531 -1.2393598064
## [5736,]  1.623548334  1.6287556943
## [5737,] -0.931128214 -0.9433677542
## [5738,]  3.032314890  3.0471432772
## [5739,]  0.544924593  0.5427656032
## [5740,]  0.197645793  0.1931150987
## [5741,] -0.313289517 -0.3213095910
## [5742,] -0.700342665 -0.7110060790
## [5743,] -1.343020679 -1.3580731964
## [5744,] -1.885398161 -1.9041547901
## [5745,]  0.859817954  0.8598094966
## [5746,] -0.617020907 -0.6271152834
## [5747,]  1.898714510  1.9058010895
## [5748,]  1.124938356  1.1267405110
## [5749,]  0.987630387  0.9884948113
## [5750,]  0.551370238  0.5492552685
## [5751,]  1.761893895  1.7680460718
## [5752,]  1.494635425  1.4989623880
## [5753,]  1.970984344  1.9785644833
## [5754,]  0.527788608  0.5255125905
## [5755,]  1.078026634  1.0795084102
## [5756,]  0.773006115  0.7724047847
## [5757,]  0.839066120  0.8389159400
## [5758,] -0.413904470 -0.4226116837
## [5759,]  0.615983903  0.6143102062
## [5760,] -0.171799739 -0.1788535231
## [5761,]  1.710800364  1.7166036029
## [5762,]  0.551370238  0.5492552685
## [5763,]  1.282400758  1.2852782861
## [5764,]  0.252669595  0.2485146807
## [5765,]  0.354856657  0.3513996186
## [5766,] -0.619850702 -0.6299644048
## [5767,]  1.384587820  1.3881632240
## [5768,]  0.409880460  0.4067992006
## [5769,]  1.368866733  1.3723347721
## [5770,]  0.809982110  0.8096333038
## [5771,]  2.507073392  2.5183146962
## [5772,]  0.144194099  0.1392983620
## [5773,] -0.549105813 -0.5587363708
## [5774,] -1.075762209 -1.0889895125
## [5775,]  1.368866733  1.3723347721
## [5776,]  0.809982110  0.8096333038
## [5777,]  2.044873451  2.0529582077
## [5778,]  0.944397399  0.9449665683
## [5779,]  2.046445559  2.0545410529
## [5780,]  0.285683877  0.2817544299
## [5781,]  0.684999473  0.6837971104
## [5782,] -0.171799739 -0.1788535231
## [5783,]  0.001132212 -0.0047405512
## [5784,] -1.335160136 -1.2681834175
## [5785,] -0.942132975 -0.8409418414
## [5786,]  0.565519216  0.5635008753
## [5787,] -0.324294277 -0.3323895074
## [5788,]  1.180213696  1.1823933482
## [5789,]  0.394159374  0.3909707486
## [5790,]  0.551370238  0.5492552685
## [5791,] -0.156078652 -0.1630250711
## [5792,] -1.649581865 -1.6099830098
## [5793,] -1.791071643 -1.7637880778
## [5794,] -0.706316678 -0.7170208907
## [5795,] -1.256554704 -1.2710167104
## [5796,]  0.208587669  0.2041317013
## [5797,] -0.063560058 -0.0698746311
## [5798,]  1.054445004  1.0557657322
## [5799,]  0.551370238  0.5492552685
## [5800,]  0.831205577  0.8310017140
## [5801,] -0.717321438 -0.7281008071
## [5802,] -0.077473220 -0.0838828111
## [5803,] -1.335160136 -1.3501589704
## [5804,]  0.236948509  0.2326862287
## [5805,] -0.277131018 -0.2849041514
## [5806,]  0.459716304  0.4569753934
## [5807,] -0.874532303 -0.8863853270
## [5808,]  0.040434928  0.0348305788
## [5809,] -0.526310238 -0.5357851154
## [5810,]  1.530793924  1.5353678276
## [5811,] -0.253549388 -0.2611614734
## [5812,]  0.834349794  0.8341674044
## [5813,] -0.266126257 -0.2738242350
## [5814,]  1.101608264  1.1032510882
## [5815,] -1.508092087 -1.4841309880
## [5816,]  0.001132212 -0.0047405512
## [5817,] -0.470500381 -0.4795941109
## [5818,]  2.198940098  2.2080770372
## [5819,]  1.007281745  1.0082803763
## [5820,]  0.469935010  0.4672638872
## [5821,] -0.095395258 -0.1019272464
## [5822,]  2.095180927  2.1036092540
## [5823,]  0.611110367  0.6094033861
## [5824,]  2.198940098  2.2080770372
## [5825,]  1.010425962  1.0114460667
## [5826,]  0.565519216  0.5635008753
## [5827,] -0.324294277 -0.3323895074
## [5828,]  1.604683030  1.6097615519
## [5829,] -0.329010603 -0.3371380430
## [5830,]  0.079737645  0.0744017088
## [5831,] -0.156078652 -0.1630250711
## [5832,]  0.186641032  0.1820351823
## [5833,] -0.130924914 -0.1376995479
## [5834,]  3.024297136  3.0390707667
## [5835,]  0.411452569  0.4083820458
## [5836,] -0.784922110 -0.7961631507
## [5837,] -1.256554704 -1.2710167104
## [5838,] -1.020738407 -1.0335899306
## [5839,] -1.335160136 -1.3501589704
## [5840,] -0.175195493 -0.1822724687
## [5841,] -1.047935886 -1.0609731525
## [5842,] -1.177949271 -1.1918744505
## [5843,] -1.256554704 -1.2710167104
## [5844,]  0.857931424  0.8579100823
## [5845,] -0.173371847 -0.1804363683
## [5846,]  2.646991062  2.6591879189
## [5847,]  0.978983789  0.9797891627
## [5848,] -0.863527542 -0.8753054107
## [5849,] -1.177949271 -1.1918744505
## [5850,]  0.708581102  0.7075397884
## [5851,]  0.158343077  0.1535439688
## [5852,]  1.258819128  1.2615356081
## [5853,] -0.105771176 -0.1123740247
## [5854,] -0.784922110 -0.7961631507
## [5855,] -1.256554704 -1.2710167104
## [5856,] -0.706316678 -0.7170208907
## [5857,] -1.759629470 -1.6389490770
## [5858,] -1.806792729 -1.6973718933
## [5859,] -0.077473220 -0.0838828111
## [5860,] -0.549105813 -0.5587363708
## [5861,]  0.290400203  0.2865029655
## [5862,] -0.703172461 -0.7138552003
## [5863,]  2.507073392  2.5183146962
## [5864,]  0.144194099  0.1392983620
## [5865,]  0.629975670  0.6283975285
## [5866,]  0.001132212 -0.0047405512
## [5867,]  0.197645793  0.1931150987
## [5868,] -0.313289517 -0.3213095910
## [5869,]  0.001132212 -0.0047405512
## [5870,] -0.470500381 -0.4795941109
## [5871,] -0.077473220 -0.0838828111
## [5872,] -0.470500381 -0.4795941109
## [5873,]  1.136194654  1.1380736826
## [5874,] -0.218962998 -0.2263388790
## [5875,] -1.649581865 -1.5026186200
## [5876,] -1.806792729 -1.6973718933
## [5877,]  1.431751079  1.4356485800
## [5878,]  0.079737645  0.0744017088
## [5879,]  1.101608264  1.1032510882
## [5880,]  0.629975670  0.6283975285
## [5881,] -1.492371000 -1.3078653467
## [5882,] -1.649581865 -1.5026186200
## [5883,] -2.121214458 -2.1415815699
## [5884,] -1.256554704 -1.0157354367
## [5885,] -1.610279149 -1.4539303016
## [5886,] -1.020738407 -1.0335899306
## [5887,] -1.177949271 -1.1918744505
## [5888,]  0.158343077  0.1535439688
## [5889,] -0.156078652 -0.1630250711
## [5890,]  2.359295180  2.3695272475
## [5891,]  1.573240857  1.5781046479
## [5892,]  1.227376955  1.2298787041
## [5893,]  0.567091324  0.5650837205
## [5894,]  0.629975670  0.6283975285
## [5895,]  0.315553941  0.3118284887
## [5896,]  1.258819128  1.2615356081
## [5897,]  0.787186535  0.7866820484
## [5898,]  0.472764806  0.4701130086
## [5899,] -0.549105813 -0.5587363708
## [5900,]  0.787186535  0.7866820484
## [5901,] -0.549105813 -0.5587363708
## [5902,] -1.570976433 -1.5245251975
## [5903,]  1.101608264  1.1032510882
## [5904,]  0.865791967  0.8658243083
## [5905,]  0.472764806  0.4701130086
## [5906,] -0.313289517 -0.3213095910
## [5907,]  0.787186535  0.7866820484
## [5908,]  0.001132212 -0.0047405512
## [5909,]  1.023002831  1.0241088283
## [5910,]  0.315553941  0.3118284887
## [5911,]  1.533938141  1.5385335180
## [5912,]  0.350140331  0.3466510830
## [5913,]  1.164492609  1.1665648962
## [5914,]  0.409880460  0.4067992006
## [5915,] -0.470500381 -0.4795941109
## [5916,] -1.177949271 -1.1918744505
## [5917,] -0.784922110 -1.3084509994
## [5918,] -0.784922110 -1.1937263794
## [5919,] -0.156078652 -0.1630250711
## [5920,] -0.470500381 -0.4795941109
## [5921,] -0.344731690 -0.3529664950
## [5922,] -1.075762209 -1.0889895125
## [5923,] -0.077473220 -0.0838828111
## [5924,] -0.549105813 -0.5587363708
## [5925,]  0.551370238  0.5492552685
## [5926,] -0.156078652 -0.1630250711
## [5927,]  2.823067230  2.8364665812
## [5928,]  1.881374152  1.8883423070
## [5929,] -0.784922110 -0.7961631507
## [5930,] -1.099343839 -1.1127321905
## [5931,]  1.573240857  1.5781046479
## [5932,]  0.197645793  0.1931150987
## [5933,]  0.787186535  0.7866820484
## [5934,] -0.077473220 -0.0838828111
## [5935,] -0.784922110 -0.7961631507
## [5936,] -0.077473220 -0.0838828111
## [5937,] -0.549105813 -0.5587363708
## [5938,]  0.842210337  0.8420816304
## [5939,]  0.032574385  0.0269163528
## [5940,]  1.400308906  1.4039916760
## [5941,] -0.424909230 -0.4336916001
## [5942,]  1.368866733  1.3723347721
## [5943,] -0.077473220 -0.0838828111
## [5944,]  0.657723388  0.6563347462
## [5945,] -0.246694994 -0.2542602683
## [5946,]  0.629975670  0.6283975285
## [5947,] -0.596269073 -0.6062217268
## [5948,] -1.036459493 -0.9820524909
## [5949,] -1.020738407 -1.0335899306
## [5950,] -1.335160136 -1.3501589704
## [5951,] -0.234684084 -0.2421673310
## [5952,] -0.698456135 -0.7091066647
## [5953,]  2.249247574  2.2587280835
## [5954,]  0.551370238  0.5492552685
## [5955,] -1.099343839 -1.1127321905
## [5956,] -1.256554704 -1.2710167104
## [5957,]  1.101608264  1.1032510882
## [5958,]  0.158343077  0.1535439688
## [5959,]  0.394159374  0.3909707486
## [5960,] -0.077473220 -0.0838828111
## [5961,]  0.787186535  0.7866820484
## [5962,] -0.022449417 -0.0284832291
## [5963,] -1.649581865 -1.6099830098
## [5964,] -1.791071643 -1.7637880778
## [5965,]  1.423890536  1.4277343540
## [5966,] -0.412332361 -0.4210288385
## [5967,]  0.046723363  0.0411619596
## [5968,] -0.516091532 -0.5254966217
## [5969,]  0.362717201  0.3593138446
## [5970,] -0.580547986 -0.5903932748
## [5971,]  1.730451722  1.7363891678
## [5972,] -0.218962998 -0.2263388790
## [5973,]  0.394159374  0.3909707486
## [5974,] -0.627711246 -0.6378786308
## [5975,]  1.730451722  1.7363891678
## [5976,] -0.218962998 -0.2263388790
## [5977,] -0.313289517 -0.3213095910
## [5978,] -0.627711246 -0.6378786308
## [5979,]  0.865791967  0.8658243083
## [5980,]  0.535649152  0.5334268165
## [5981,] -0.006728331 -0.0126547771
## [5982,] -0.359273695 -0.3676078130
## [5983,]  0.708581102  0.7075397884
## [5984,]  0.158343077  0.1535439688
## [5985,]  1.094297958  1.0958908580
## [5986,] -0.059944209 -0.0662340871
## [5987,]  0.315553941  0.3118284887
## [5988,] -0.234684084 -0.2421673310
## [5989,]  0.394159374  0.3909707486
## [5990,] -0.077473220 -0.0838828111
## [5991,]  0.771465448  0.7708535964
## [5992,]  0.189785250  0.1852008727
## [5993,]  1.136194654  1.1380736826
## [5994,] -0.218962998 -0.2263388790
## [5995,]  1.117329350  1.1190795402
## [5996,]  0.048295472  0.0427448048
## [5997,]  0.582812411  0.5809121725
## [5998,] -0.344731690 -0.3529664950
## [5999,]  0.944397399  0.9449665683
## [6000,] -0.218962998 -0.2263388790
## [6001,]  0.394159374  0.3909707486
## [6002,] -0.784922110 -0.7961631507
## [6003,]  0.457043719  0.4542845566
## [6004,] -0.643432332 -0.6537070828
## [6005,]  1.494635425  1.4989623880
## [6006,]  0.472764806  0.4701130086
## [6007,] -0.124636479 -0.1313681671
## [6008,] -1.177949271 -1.1918744505
## [6009,]  0.768321231  0.7676879060
## [6010,] -0.703172461 -0.7138552003
## [6011,] -0.391894949 -0.4004518509
## [6012,] -0.596269073 -0.6062217268
## [6013,]  0.944397399  0.9449665683
## [6014,]  0.079737645  0.0744017088
## [6015,] -0.549105813 -0.5587363708
## [6016,] -1.005017320 -1.0177614786
## [6017,]  0.236948509  0.2326862287
## [6018,] -0.156078652 -0.1630250711
## [6019,] -0.171799739 -0.1788535231
## [6020,] -0.690595591 -0.7011924388
## [6021,] -1.492371000 -1.7340464165
## [6022,]  1.966268018  1.9738159477
## [6023,] -1.570976433 -1.5875857502
## [6024,]  2.055878211  2.0640381241
## [6025,]  0.008206701  0.0023822522
## [6026,] -1.256554704 -1.5581290011
## [6027,]  1.581101400  1.5860188739
## [6028,]  0.150482534  0.1456297428
## [6029,] -0.077473220 -0.0838828111
## [6030,] -0.549105813 -0.5587363708
## [6031,] -0.156078652 -0.1630250711
## [6032,] -0.470500381 -0.4795941109
## [6033,] -0.313273796 -0.3212937625
## [6034,] -1.226574592 -1.2408318525
## [6035,] -0.880537758 -0.8924317957
## [6036,] -1.540131661 -1.5565303274
## [6037,]  0.394159374  0.3909707486
## [6038,] -0.234684084 -0.2421673310
## [6039,] -1.020738407 -1.0335899306
## [6040,] -1.335160136 -1.3501589704
## [6041,]  1.683288462  1.6889038119
## [6042,] -0.046031047 -0.0522259071
## [6043,]  1.133050437  1.1349079922
## [6044,]  0.394159374  0.3909707486
## [6045,]  0.834349794  0.8341674044
## [6046,] -0.262982040 -0.2706585446
## [6047,]  1.001936576  1.0028987026
## [6048,] -0.301341491 -0.3092799675
## [6049,]  1.117329350  1.1190795402
## [6050,] -0.046031047 -0.0522259071
## [6051,] -0.784922110 -0.7961631507
## [6052,] -1.099343839 -1.1127321905
## [6053,]  0.565519216  0.5635008753
## [6054,] -0.324294277 -0.3323895074
## [6055,]  1.384587820  1.3881632240
## [6056,]  0.095458731  0.0902301608
## [6057,]  2.422179525  2.4328410554
## [6058,]  0.771465448  0.7708535964
## [6059,] -1.649581865 -1.6099830098
## [6060,]  0.001132212 -0.0047405512
## [6061,] -0.313289517 -0.3213095910
## [6062,] -0.156078652 -0.1630250711
## [6063,] -0.627711246 -0.6378786308
## [6064,] -0.942132975 -0.9544476706
## [6065,] -1.177949271 -1.1918744505
## [6066,]  0.177208381  0.7604068181
## [6067,] -1.027498474 -0.7319787779
## [6068,]  1.416029993  1.4198201280
## [6069,]  0.529360717  0.5270954357
## [6070,] -0.313289517 -0.3213095910
## [6071,] -1.099343839 -1.1127321905
## [6072,]  1.573240857  1.5781046479
## [6073,]  0.001132212 -0.0047405512
## [6074,]  0.158343077  0.1535439688
## [6075,] -0.470500381 -0.4795941109
## [6076,]  2.187558031  2.1966172379
## [6077,]  0.824178251  0.8239263959
## [6078,] -0.077473220 -0.0838828111
## [6079,] -0.470500381 -0.4795941109
## [6080,]  0.079737645  0.0744017088
## [6081,] -0.690595591 -0.7011924388
## [6082,]  0.787186535  0.7866820484
## [6083,]  0.158343077  0.1535439688
## [6084,]  0.122970632  0.1179299518
## [6085,] -0.711819058 -0.7225608489
## [6086,]  0.472764806  0.4701130086
## [6087,] -0.156078652 -0.1630250711
## [6088,]  0.787186535  0.7866820484
## [6089,] -0.077473220 -0.0838828111
## [6090,] -1.287996876 -1.3026736144
## [6091,] -1.413765568 -1.4293012303
## [6092,] -1.649581865 -1.6099830098
## [6093,] -1.791071643 -1.7637880778
## [6094,] -1.020738407 -1.0335899306
## [6095,] -1.335160136 -1.3501589704
## [6096,] -0.391894949 -0.4004518509
## [6097,] -0.942132975 -0.9544476706
## [6098,] -0.706316678 -0.7170208907
## [6099,] -0.942132975 -0.9544476706
## [6100,]  0.469935010  0.4672638872
## [6101,] -0.095395258 -0.1019272464
## [6102,] -0.234684084 -0.2421673310
## [6103,] -0.698456135 -0.7091066647
## [6104,]  0.079737645  0.0744017088
## [6105,] -0.391894949 -0.4004518509
## [6106,]  1.431751079  1.4356485800
## [6107,]  0.488485892  0.4859414606
## [6108,]  1.604683030  1.6097615519
## [6109,]  0.064016558  0.0585732568
## [6110,]  0.472764806  0.4701130086
## [6111,]  0.079737645  0.0744017088
## [6112,]  0.657723388  0.6563347462
## [6113,] -0.246694994 -0.2542602683
## [6114,]  0.394159374  0.3909707486
## [6115,] -0.077473220 -0.0838828111
## [6116,]  1.368866733  1.3723347721
## [6117,] -0.077473220 -0.0838828111
## [6118,]  0.079737645  0.0744017088
## [6119,] -0.391894949 -0.4004518509
## [6120,] -1.099343839 -1.1127321905
## [6121,] -1.256554704 -1.2710167104
## [6122,] -0.061752133 -0.0680543591
## [6123,] -1.177949271 -1.1918744505
## [6124,] -1.347737005 -1.3628217320
## [6125,] -1.475077805 -1.4910321931
## [6126,]  0.315553941  0.3118284887
## [6127,] -0.313289517 -0.3213095910
## [6128,]  0.920029715  0.9204324677
## [6129,]  0.324200539  0.3205341373
## [6130,] -0.391894949 -0.4004518509
## [6131,] -0.784922110 -0.7961631507
## [6132,] -0.234684084 -0.2421673310
## [6133,] -0.470500381 -0.4795941109
## [6134,]  0.787186535  0.7866820484
## [6135,]  0.315553941  0.3118284887
## [6136,]  0.335205299  0.3316140537
## [6137,] -0.568757171 -0.5785219358
## [6138,]  1.136194654  1.1380736826
## [6139,] -0.218962998 -0.2263388790
## [6140,]  1.730451722  1.7363891678
## [6141,] -0.218962998 -0.2263388790
## [6142,]  0.057728124  0.0522418760
## [6143,] -0.777061567 -0.7882489247
## [6144,]  0.865791967  0.8658243083
## [6145,]  0.535649152  0.5334268165
## [6146,] -0.549105813 -0.5587363708
## [6147,] -0.863527542 -0.8753054107
## [6148,]  0.512067522  0.5096841386
## [6149,] -0.446918751 -0.4558514329
## [6150,]  0.835921903  0.8357502496
## [6151,] -0.556966357 -0.5666505968
## [6152,] -1.413765568 -1.2104887100
## [6153,] -1.649581865 -1.5026186200
## [6154,]  1.604683030  1.6097615519
## [6155,] -0.329010603 -0.3371380430
## [6156,] -0.899686041 -0.9117108502
## [6157,] -1.385467612 -1.4008100168
## [6158,]  0.158343077  0.1535439688
## [6159,] -0.313289517 -0.3213095910
## [6160,]  1.699009549  1.7047322639
## [6161,]  0.629975670  0.6283975285
## [6162,]  0.315553941  0.3118284887
## [6163,] -0.234684084 -0.2421673310
## [6164,]  0.276251225  0.2722573587
## [6165,] -0.682735048 -0.6932782128
## [6166,]  0.708581102  0.7075397884
## [6167,]  0.158343077  0.1535439688
## [6168,] -0.061752133 -0.0680543591
## [6169,] -1.177949271 -1.1918744505
## [6170,] -1.460928827 -1.4310740170
## [6171,]  2.139199969  2.1479289196
## [6172,]  0.897234140  0.8974812123
## [6173,] -0.784922110 -0.7961631507
## [6174,] -1.099343839 -1.1127321905
## [6175,]  1.152701795  1.1546935572
## [6176,]  0.450755285  0.4479531758
## [6177,]  3.195656979  3.2116008934
## [6178,]  1.562236097  1.5670247315
## [6179,]  1.258819128  1.2615356081
## [6180,]  1.101608264  1.1032510882
## [6181,]  2.316848246  2.3267904271
## [6182,]  0.758888579  0.7581908348
## [6183,]  0.944397399  0.9449665683
## [6184,]  0.029430168  0.0237506624
## [6185,]  0.787186535  0.7866820484
## [6186,]  0.315553941  0.3118284887
## [6187,]  2.627654125  2.6397189230
## [6188,]  0.327030334  0.3233832586
## [6189,] -0.344731690 -0.3529664950
## [6190,] -1.075762209 -1.0889895125
## [6191,] -2.042609026 -2.0372245859
## [6192,] -0.659153419 -0.6695355348
## [6193,] -1.413765568 -1.4293012303
## [6194,] -0.250405171 -0.2579957830
## [6195,] -0.407616035 -0.4162803029
## [6196,]  0.335205299  0.3316140537
## [6197,] -0.568757171 -0.5785219358
## [6198,]  0.236948509  0.2326862287
## [6199,] -0.277131018 -0.2849041514
## [6200,]  1.180213696  1.1823933482
## [6201,]  0.394159374  0.3909707486
## [6202,]  1.258819128  1.2615356081
## [6203,] -0.399755492 -0.4083660769
## [6204,]  1.533938141  1.5385335180
## [6205,]  0.350140331  0.3466510830
## [6206,]  0.394159374  0.3909707486
## [6207,] -0.077473220 -0.0838828111
## [6208,] -0.019305200 -0.0253175387
## [6209,] -0.382462297 -0.3909547797
## [6210,] -0.077473220 -0.0838828111
## [6211,] -0.549105813 -0.5587363708
## [6212,]  0.787186535  0.7866820484
## [6213,]  0.001132212 -0.0047405512
## [6214,]  0.158343077  0.1535439688
## [6215,] -0.470500381 -0.4795941109
## [6216,]  0.551370238  0.5492552685
## [6217,] -0.466570110 -0.4756369979
## [6218,]  1.970984344  1.9785644833
## [6219,]  0.519928065  0.5175983645
## [6220,]  0.315553941  0.3118284887
## [6221,] -0.391894949 -0.4004518509
## [6222,]  0.276251225  0.2722573587
## [6223,] -0.682735048 -0.6932782128
## [6224,]  1.573240857  1.5781046479
## [6225,]  0.787186535  0.7866820484
## [6226,] -0.234684084 -0.2421673310
## [6227,]  1.038723918  1.0399372802
## [6228,]  0.535649152  0.5334268165
## [6229,]  0.472764806  0.4701130086
## [6230,]  0.236948509  0.2326862287
## [6231,]  0.565519216  0.5635008753
## [6232,] -0.324294277 -0.3323895074
## [6233,] -0.077473220 -0.0838828111
## [6234,] -0.470500381 -0.4795941109
## [6235,] -0.095316653 -0.1018481041
## [6236,] -0.547659473 -0.5572801533
## [6237,] -0.313289517 -0.3213095910
## [6238,] -0.942132975 -0.9544476706
## [6239,]  0.362717201  0.3593138446
## [6240,] -0.281847344 -0.2896526870
## [6241,]  0.913725560  0.9140852585
## [6242,] -0.336871146 -0.3450522690
## [6243,]  0.469935010  0.4672638872
## [6244,] -0.095395258 -0.1019272464
## [6245,]  0.276251225  0.2722573587
## [6246,] -0.682735048 -0.6932782128
## [6247,]  1.970984344  1.9785644833
## [6248,]  0.527788608  0.5255125905
## [6249,] -0.005156222 -0.0110719320
## [6250,] -0.753479937 -0.7645062467
## [6251,] -0.077473220 -0.0838828111
## [6252,] -0.784922110 -0.7961631507
## [6253,]  0.629975670  0.6283975285
## [6254,] -0.863527542 -0.8753054107
## [6255,]  0.057728124  0.0522418760
## [6256,] -0.678018722 -0.6885296772
## [6257,] -0.942132975 -0.8409418414
## [6258,] -1.177949271 -1.0972836214
## [6259,] -0.344731690 -0.3529664950
## [6260,] -1.020738407 -1.0335899306
## [6261,]  0.016853299  0.0110879008
## [6262,] -0.156078652 -0.1630250711
## [6263,]  1.970984344  1.9785644833
## [6264,]  0.527788608  0.5255125905
## [6265,]  1.101608264  1.1032510882
## [6266,]  0.315553941  0.3118284887
## [6267,] -0.234684084 -0.2421673310
## [6268,] -0.698456135 -0.7091066647
## [6269,] -0.784922110 -0.7961631507
## [6270,] -1.099343839 -1.1127321905
## [6271,] -1.728187297 -1.6954249937
## [6272,]  0.158343077  0.1535439688
## [6273,] -0.077473220 -0.0838828111
## [6274,]  0.064016558  0.0585732568
## [6275,] -0.108915393 -0.1155397151
## [6276,] -1.335160136 -1.1131120734
## [6277,] -1.696745124 -1.5610572647
## [6278,]  0.629975670  0.6283975285
## [6279,] -0.470500381 -0.4795941109
## [6280,] -1.256554704 -1.0157354367
## [6281,] -1.696745124 -1.5610572647
## [6282,] -0.942132975 -0.6262288901
## [6283,] -1.413765568 -1.2104887100
## [6284,]  0.001132212 -0.0047405512
## [6285,] -0.611990159 -0.6220501788
## [6286,]  1.809057154  1.8155314278
## [6287,]  1.337424560  1.3406778681
## [6288,] -0.596269073 -0.4378386545
## [6289,] -1.256554704 -1.2148890197
## [6290,]  0.158343077  0.1535439688
## [6291,] -0.313289517 -0.3213095910
## [6292,] -1.177949271 -1.1918744505
## [6293,] -1.407477133 -1.4229698495
## [6294,] -1.020738407 -1.0335899306
## [6295,] -1.177949271 -1.1918744505
## [6296,]  1.604683030  1.6097615519
## [6297,] -0.329010603 -0.3371380430
## [6298,] -0.899686041 -0.9117108502
## [6299,] -1.385467612 -1.4008100168
## [6300,]  0.221227423  0.3483763843
## [6301,] -1.476649914 -1.4219884855
## [6302,] -1.044320037 -1.0573326085
## [6303,] -1.531673716 -1.5480146203
## [6304,]  0.803473580  0.8030803247
## [6305,] -0.250027865 -0.2576159002
## [6306,]  0.236948509  0.2326862287
## [6307,] -0.156078652 -0.1630250711
## [6308,] -1.382323395 -1.3976443264
## [6309,] -1.445207741 -1.4609581343
## [6310,]  0.346996114  0.3434853926
## [6311,] -0.549105813 -0.5587363708
## [6312,] -0.391894949 -0.4004518509
## [6313,] -0.942132975 -0.9544476706
## [6314,]  0.218083205  0.2136920863
## [6315,] -0.376173862 -0.3846233989
## [6316,]  1.368866733  1.3723347721
## [6317,] -0.077473220 -0.0838828111
## [6318,] -0.942132975 -0.9544476706
## [6319,] -0.942132975 -0.9544476706
## [6320,] -0.163939195 -0.1709392971
## [6321,] -0.637143897 -0.6473757020
## [6322,]  1.699009549  1.7047322639
## [6323,]  0.629975670  0.6283975285
## [6324,] -0.077473220 -0.0838828111
## [6325,] -0.470500381 -0.4795941109
## [6326,]  0.875224619  0.8753213795
## [6327,] -0.695311917 -0.7059409744
## [6328,]  1.604683030  1.6097615519
## [6329,] -0.329010603 -0.3371380430
## [6330,]  1.412068279  1.4158313581
## [6331,]  0.155701934  0.1508847888
## [6332,]  0.571807650  0.5698322561
## [6333,] -0.745619394 -0.7565920207
## [6334,]  0.236948509  0.2326862287
## [6335,] -0.277131018 -0.2849041514
## [6336,]  0.629975670  0.6283975285
## [6337,] -0.376173862 -0.3846233989
## [6338,] -0.013960031 -0.0199358651
## [6339,] -0.566399008 -0.5761476680
## [6340,]  0.057728124  0.0522418760
## [6341,] -0.678018722 -0.6885296772
## [6342,]  0.356428766  0.3529824638
## [6343,] -0.660725527 -0.6711183800
## [6344,]  0.475594601  0.4729621299
## [6345,] -0.690281170 -0.7008758697
## [6346,]  3.555355437  3.5737558749
## [6347,]  0.993447189  0.9943513385
## [6348,]  0.057728124  0.0522418760
## [6349,] -0.777061567 -0.7882489247
## [6350,]  0.889373597  0.8895669863
## [6351,] -0.445346643 -0.4542685877
## [6352,]  1.730451722  1.7363891678
## [6353,]  1.180213696  1.1823933482
## [6354,]  0.700720559  0.6996255624
## [6355,] -0.541245270 -0.5508221448
## [6356,]  0.315553941  0.3118284887
## [6357,] -0.942132975 -0.9544476706
## [6358,] -0.863527542 -0.8753054107
## [6359,] -1.256554704 -1.2710167104
## [6360,]  1.966268018  1.9738159477
## [6361,]  0.158343077  0.1535439688
## [6362,] -0.534422319 -0.5439525967
## [6363,] -1.073152509 -1.0863619895
## [6364,]  0.394159374  0.3909707486
## [6365,] -0.470500381 -0.4795941109
## [6366,]  0.001132212 -0.0047405512
## [6367,] -0.470500381 -0.4795941109
## [6368,]  0.787186535  0.7866820484
## [6369,]  0.394159374  0.3909707486
## [6370,]  0.881513053  0.8816527603
## [6371,] -0.313289517 -0.3213095910
## [6372,] -0.187520825 -0.1946819750
## [6373,] -0.910690802 -0.9227907666
## [6374,] -1.335160136 -1.3501589704
## [6375,] -1.602418605 -1.6192426542
## [6376,] -0.627711246 -0.6378786308
## [6377,] -1.177949271 -1.1918744505
## [6378,] -0.313289517 -0.3213095910
## [6379,] -0.989296234 -1.0019330266
## [6380,]  0.158343077  0.1535439688
## [6381,] -0.596269073 -0.6062217268
## [6382,]  0.197645793  0.1931150987
## [6383,] -0.313289517 -0.3213095910
## [6384,]  2.351434636  2.3616130215
## [6385,]  1.496207534  1.5005452332
## [6386,] -0.077473220 -0.0838828111
## [6387,] -0.784922110 -0.7961631507
## [6388,] -0.044458938 -0.0506430619
## [6389,] -0.931128214 -0.9433677542
## [6390,] -0.547533705 -0.5571535256
## [6391,] -1.195242466 -1.2092857477
## [6392,]  0.290400203  0.2865029655
## [6393,] -0.703172461 -0.7138552003
## [6394,]  0.944397399  0.9449665683
## [6395,]  0.158343077  0.1535439688
## [6396,] -0.077473220 -0.0838828111
## [6397,] -0.784922110 -0.7961631507
## [6398,]  1.136194654  1.1380736826
## [6399,] -0.218962998 -0.2263388790
## [6400,] -0.784922110 -0.7961631507
## [6401,] -1.020738407 -1.0335899306
## [6402,] -1.256554704 -1.0157354367
## [6403,] -1.610279149 -1.4539303016
## [6404,]  0.787186535  0.7866820484
## [6405,] -0.077473220 -0.0838828111
## [6406,] -0.156078652 -0.1630250711
## [6407,] -0.863527542 -0.8753054107
## [6408,]  0.551370238  0.5492552685
## [6409,] -0.466570110 -0.4756369979
## [6410,] -0.313289517 -0.3213095910
## [6411,]  0.865791967  0.8658243083
## [6412,] -0.156078652 -0.1630250711
## [6413,]  2.316848246  2.3267904271
## [6414,]  0.758888579  0.7581908348
## [6415,] -0.135829893 -0.1426380249
## [6416,] -0.876230180 -0.8880947999
## [6417,]  0.535649152  0.5334268165
## [6418,] -0.108915393 -0.1155397151
## [6419,] -1.256554704 -1.2710167104
## [6420,] -1.492371000 -1.5084434903
## [6421,]  1.970984344  1.9785644833
## [6422,]  0.527788608  0.5255125905
## [6423,] -1.177949271 -1.1918744505
## [6424,] -1.335160136 -1.3501589704
## [6425,]  0.158343077  0.1535439688
## [6426,] -0.046031047 -0.0522259071
## [6427,] -0.013960031 -0.0199358651
## [6428,] -0.566399008 -0.5761476680
## [6429,] -0.784922110 -1.1937263794
## [6430,]  0.475594601  0.4729621299
## [6431,] -0.690281170 -0.7008758697
## [6432,] -1.256554704 -1.2710167104
## [6433,] -1.099343839 -1.1127321905
## [6434,]  1.573240857  1.5781046479
## [6435,]  0.001132212 -0.0047405512
## [6436,] -0.163939195 -0.1709392971
## [6437,] -0.637143897 -0.6473757020
## [6438,] -0.706316678 -0.7170208907
## [6439,] -1.256554704 -1.2710167104
## [6440,]  0.958766472  0.9594337734
## [6441,] -0.522317082 -0.5317646886
## [6442,]  0.001132212 -0.0047405512
## [6443,] -0.784922110 -0.7961631507
## [6444,] -0.061752133 -0.0680543591
## [6445,] -1.177949271 -1.1918744505
## [6446,] -1.177949271 -1.1918744505
## [6447,] -1.413765568 -1.4293012303
## [6448,]  0.562374999  0.5603351849
## [6449,]  0.236948509  0.2326862287
## [6450,]  0.158343077  0.1535439688
## [6451,] -0.313289517 -0.3213095910
## [6452,]  0.299832855  0.2960000367
## [6453,] -0.618278594 -0.6283815596
## [6454,]  0.677138930  0.6758828845
## [6455,] -0.205600074 -0.2128846948
## [6456,] -0.163939195 -0.1709392971
## [6457,] -0.637143897 -0.6473757020
## [6458,]  1.981989105  1.9896443997
## [6459,]  0.449183176  0.4463703306
## [6460,] -1.492371000 -1.4390832137
## [6461,] -1.649581865 -1.6099830098
## [6462,] -1.256554704 -1.1827414337
## [6463,] -1.649581865 -1.6099830098
## [6464,]  0.174064163  0.7565130189
## [6465,] -1.047464254 -0.7567186483
## [6466,] -0.585264312 -0.1841402260
## [6467,] -1.047464254 -0.7567186483
## [6468,]  1.604683030  1.6097615519
## [6469,] -0.329010603 -0.3371380430
## [6470,] -0.313289517 -0.3213095910
## [6471,]  0.001132212 -0.0047405512
## [6472,]  0.218083205  0.2136920863
## [6473,] -0.376173862 -0.3846233989
## [6474,]  1.730451722  1.7363891678
## [6475,] -0.627711246 -0.6378786308
## [6476,]  0.315553941  0.3118284887
## [6477,] -0.313289517 -0.3213095910
## [6478,]  1.533938141  1.5385335180
## [6479,]  0.350140331  0.3466510830
## [6480,]  1.412068279  1.4158313581
## [6481,]  0.155701934  0.1508847888
## [6482,]  0.218083205  0.2136920863
## [6483,] -0.376173862 -0.3846233989
## [6484,] -0.332940875 -0.3410951560
## [6485,] -0.686665320 -0.6972353258
## [6486,]  1.604683030  1.6097615519
## [6487,] -0.329010603 -0.3371380430
## [6488,]  2.351434636  2.3616130215
## [6489,]  1.496207534  1.5005452332
## [6490,]  0.079737645  0.0744017088
## [6491,] -0.156078652 -0.1630250711
## [6492,]  0.276251225  0.2722573587
## [6493,] -0.682735048 -0.6932782128
## [6494,]  0.606394041  0.6046548505
## [6495,] -0.517663640 -0.5270794669
## [6496,]  1.573240857  1.5781046479
## [6497,] -0.187520825 -0.1946819750
## [6498,] -0.313289517 -0.3213095910
## [6499,] -0.784922110 -0.7961631507
## [6500,] -0.549105813 -0.4137002652
## [6501,] -0.156078652 -0.1630250711
## [6502,] -0.470500381 -0.4795941109
## [6503,]  0.158343077  0.1535439688
## [6504,] -0.234684084 -0.2421673310
## [6505,] -0.714177221 -0.7249351167
## [6506,] -1.256554704 -1.2710167104
## [6507,] -0.942132975 -0.9544476706
## [6508,] -1.256554704 -1.2710167104
## [6509,]  0.057728124  0.0522418760
## [6510,] -0.678018722 -0.6885296772
## [6511,] -0.391894949 -0.4004518509
## [6512,] -0.942132975 -0.9544476706
## [6513,]  0.551370238  0.5492552685
## [6514,] -0.391894949 -0.4004518509
## [6515,] -0.360452776 -0.3687949469
## [6516,] -0.879248629 -0.8911338626
## [6517,]  0.953043997  0.9536722169
## [6518,]  0.053011798  0.0474933404
## [6519,]  0.787186535  0.7866820484
## [6520,]  0.001132212 -0.0047405512
## [6521,]  0.181924706  0.1772866467
## [6522,] -0.478360924 -0.4875083369
## [6523,]  0.394159374  0.3909707486
## [6524,] -0.077473220 -0.0838828111
## [6525,]  0.394159374  0.3909707486
## [6526,] -0.018519146 -0.0245261161
## [6527,] -0.706316678 -0.7170208907
## [6528,] -1.020738407 -1.0335899306
## [6529,]  1.023002831  1.0241088283
## [6530,] -0.057035808 -0.0633058235
## [6531,]  0.787186535  1.0389242593
## [6532,] -1.225112531 -1.2393598064
## [6533,] -1.413765568 -1.4293012303
## [6534,]  0.054583906  0.0490761856
## [6535,] -0.428053448 -0.4368572905
## [6536,]  1.730451722  1.7363891678
## [6537,]  0.394159374  0.3909707486
## [6538,]  0.571807650  0.5698322561
## [6539,] -0.409188144 -0.4178631481
## [6540,]  2.988138637  3.0026653271
## [6541,]  0.001132212 -0.0047405512
## [6542,]  0.054583906  0.0490761856
## [6543,] -0.428053448 -0.4368572905
## [6544,]  1.573240857  1.5781046479
## [6545,]  0.394159374  0.3909707486
## [6546,] -1.413765568 -1.3536254014
## [6547,]  0.565519216  0.5635008753
## [6548,] -0.443774534 -0.4526857425
## [6549,]  0.057728124  0.0522418760
## [6550,] -0.678018722 -0.6885296772
## [6551,] -1.570976433 -1.5875857502
## [6552,] -0.784922110 -0.7961631507
## [6553,]  1.533938141  1.5385335180
## [6554,]  0.350140331  0.3466510830
## [6555,]  2.516506044  2.5278117674
## [6556,]  1.400308906  1.4039916760
## [6557,] -0.391894949 -0.4004518509
## [6558,] -0.627711246 -0.6378786308
## [6559,]  0.001132212 -0.0047405512
## [6560,] -0.784922110 -0.7961631507
## [6561,] -0.013394072 -0.0193660408
## [6562,] -1.062163470 -1.0752979016
## [6563,] -0.061752133 -0.0680543591
## [6564,] -1.177949271 -1.1918744505
## [6565,] -0.163939195 -0.1709392971
## [6566,] -0.637143897 -0.6473757020
## [6567,] -0.163939195 -0.1709392971
## [6568,] -0.637143897 -0.6473757020
## [6569,] -0.005156222 -0.0110719320
## [6570,] -0.753479937 -0.7645062467
## [6571,] -1.099343839 -0.8209821634
## [6572,] -1.728187297 -1.5999952566
## [6573,]  1.604683030  1.6097615519
## [6574,] -0.329010603 -0.3371380430
## [6575,] -0.863527542 -0.8753054107
## [6576,] -1.012877864 -1.0256757046
## [6577,]  0.565519216  0.5635008753
## [6578,] -0.443774534 -0.4526857425
## [6579,]  0.001132212 -0.0047405512
## [6580,] -0.784922110 -0.7961631507
## [6581,] -0.077473220 -0.0838828111
## [6582,] -0.391894949 -0.4004518509
## [6583,]  0.001132212 -0.0047405512
## [6584,] -0.820294555 -0.8317771677
## [6585,]  0.802907621  0.8025105004
## [6586,] -0.439058208 -0.4479372069
## [6587,]  1.604683030  1.6097615519
## [6588,] -0.329010603 -0.3371380430
## [6589,] -0.470500381 -0.4795941109
## [6590,] -1.177949271 -1.1918744505
## [6591,] -0.517820851 -0.5272377514
## [6592,] -1.053438267 -1.0665131107
## [6593,]  0.565519216  0.5635008753
## [6594,] -0.324294277 -0.3323895074
## [6595,]  0.787186535  0.7866820484
## [6596,] -0.391894949 -0.4004518509
## [6597,]  0.802907621  0.8025105004
## [6598,] -0.439058208 -0.4479372069
## [6599,]  0.857931424  0.8579100823
## [6600,] -0.121492262 -0.1282024767
## [6601,]  0.079737645  0.0744017088
## [6602,] -0.156078652 -0.1630250711
## [6603,]  0.880255367  0.8803864842
## [6604,]  0.340707680  0.3371540118
## [6605,] -0.446918751 -0.4558514329
## [6606,] -1.130786012 -1.1443890945
## [6607,]  0.064016558  0.0585732568
## [6608,] -0.533384727 -0.5429079188
## [6609,]  0.629975670  0.6283975285
## [6610,] -0.218962998 -0.2263388790
## [6611,] -1.335160136 -1.1131120734
## [6612,] -1.790285588 -1.6769215333
## [6613,]  0.472764806  0.4701130086
## [6614,] -0.627711246 -0.6378786308
## [6615,]  1.970984344  1.9785644833
## [6616,]  0.519928065  0.5175983645
## [6617,]  0.315553941  0.3118284887
## [6618,] -0.156078652 -0.1630250711
## [6619,]  0.064016558  0.0585732568
## [6620,] -0.533384727 -0.5429079188
## [6621,]  0.158343077  0.1535439688
## [6622,] -0.313289517 -0.3213095910
## [6623,]  0.787186535  0.7866820484
## [6624,] -0.470500381 -0.4795941109
## [6625,]  0.394159374  0.3909707486
## [6626,]  0.158343077  0.1535439688
## [6627,] -0.706316678 -0.3340989802
## [6628,] -1.020738407 -0.7236055268
## [6629,]  0.057728124  0.0522418760
## [6630,] -0.678018722 -0.6885296772
## [6631,] -1.020738407 -1.0335899306
## [6632,] -1.177949271 -1.1918744505
## [6633,]  1.180213696  1.1823933482
## [6634,]  0.101747166  0.0965615416
## [6635,]  0.001132212 -0.0047405512
## [6636,] -0.470500381 -0.4795941109
## [6637,]  0.218083205  0.2136920863
## [6638,] -0.376173862 -0.3846233989
## [6639,] -0.077473220 -0.0838828111
## [6640,] -0.942132975 -0.9544476706
## [6641,]  0.857931424  0.8579100823
## [6642,] -0.121492262 -0.1282024767
## [6643,] -0.863527542 -0.8753054107
## [6644,] -1.012877864 -1.0256757046
## [6645,]  0.276251225  0.2722573587
## [6646,] -0.682735048 -0.6932782128
## [6647,]  0.218083205  0.2136920863
## [6648,] -0.376173862 -0.3846233989
## [6649,]  0.079737645  0.0744017088
## [6650,] -0.156078652 -0.1630250711
## [6651,]  1.573240857  1.5781046479
## [6652,]  0.787186535  0.7866820484
## [6653,]  1.730451722  1.7363891678
## [6654,]  0.567091324  0.5650837205
## [6655,]  0.158343077  0.1535439688
## [6656,] -0.313289517 -0.3213095910
## [6657,]  0.787186535  0.7866820484
## [6658,]  0.001132212 -0.0047405512
## [6659,] -1.649581865 -1.6099830098
## [6660,] -1.791071643 -1.7637880778
## [6661,]  0.001132212 -0.0047405512
## [6662,] -0.470500381 -0.4795941109
## [6663,] -1.885398161 -1.9041547901
## [6664,]  0.551370238  0.5492552685
## [6665,] -0.391894949 -0.4004518509
## [6666,] -1.817483068 -1.8357758775
## [6667,] -1.256554704 -1.1827414337
## [6668,] -0.690595591 -0.7011924388
## [6669,]  0.394159374  0.3909707486
## [6670,] -0.313289517 -0.3213095910
## [6671,] -0.439058208 -0.4479372069
## [6672,] -0.882392846 -0.8942995530
## [6673,]  0.001132212 -0.0047405512
## [6674,] -0.942132975 -0.9544476706
## [6675,]  0.236948509  0.2326862287
## [6676,] -0.596269073 -0.6062217268
## [6677,]  1.101608264  1.1032510882
## [6678,] -1.303717963 -1.2340097897
## [6679,] -1.413765568 -1.3536254014
## [6680,]  0.857931424  0.8579100823
## [6681,] -0.121492262 -0.1282024767
## [6682,]  0.787186535  0.7866820484
## [6683,]  0.394159374  0.3909707486
## [6684,]  0.565519216  0.5635008753
## [6685,] -0.324294277 -0.3323895074
## [6686,]  0.565519216  0.5635008753
## [6687,] -0.443774534 -0.4526857425
## [6688,]  0.857931424  0.8579100823
## [6689,] -0.121492262 -0.1282024767
## [6690,] -1.728187297 -1.7458702702
## [6691,]  0.475594601  0.4729621299
## [6692,] -0.690281170 -0.7008758697
## [6693,] -0.218962998 -0.2263388790
## [6694,] -0.722037764 -0.7328493427
## [6695,] -0.391894949 -0.4004518509
## [6696,] -0.627711246 -0.6378786308
## [6697,]  0.054583906  0.0490761856
## [6698,] -0.428053448 -0.4368572905
## [6699,]  2.516506044  2.5278117674
## [6700,]  1.400308906  1.4039916760
## [6701,]  0.038548398  0.0329311646
## [6702,] -0.440567433 -0.4494567383
## [6703,]  0.565519216  0.5635008753
## [6704,] -0.324294277 -0.3323895074
## [6705,]  1.533938141  1.5385335180
## [6706,]  0.350140331  0.3466510830
## [6707,]  0.290400203  0.2865029655
## [6708,] -0.703172461 -0.7138552003
## [6709,] -0.340329785 -0.3485345284
## [6710,] -0.676446614 -0.6869468320
## [6711,]  0.661417843  0.6600544325
## [6712,] -0.156078652 -0.1630250711
## [6713,] -0.784922110 -0.7961631507
## [6714,] -0.784922110 -0.6700420452
## [6715,] -1.099343839 -1.0118416375
## [6716,]  1.966268018  1.9738159477
## [6717,]  0.378438287  0.3751422966
## [6718,] -0.163939195 -0.1709392971
## [6719,] -0.637143897 -0.6473757020
## [6720,] -0.163939195 -0.1709392971
## [6721,] -0.637143897 -0.6473757020
## [6722,]  0.323414485  0.3197427147
## [6723,] -1.020738407 -1.0335899306
## [6724,] -1.413341099 -1.2099663711
## [6725,] -1.653716510 -1.5077470384
## [6726,] -0.283435173  0.1897594669
## [6727,] -0.708030276 -0.3362199927
## [6728,] -1.099343839 -1.1127321905
## [6729,] -1.335160136 -1.3501589704
## [6730,] -0.395982431 -0.4045672484
## [6731,] -1.327488246 -1.3424346858
## [6732,] -1.221968313 -1.2361941160
## [6733,] -1.335474558 -1.3504755394
## [6734,]  0.057728124  0.0522418760
## [6735,] -0.678018722 -0.6885296772
## [6736,]  0.472371779  0.4697172973
## [6737,] -0.997691294 -1.0103854199
## [6738,] -0.470500381 -0.4795941109
## [6739,] -0.942132975 -0.9544476706
## [6740,] -1.696745124 -1.5610572647
## [6741,] -1.806792729 -1.6973718933
## [6742,] -0.013394072 -0.0193660408
## [6743,] -1.062163470 -1.0752979016
## [6744,]  0.299832855  0.2960000367
## [6745,] -0.618278594 -0.6283815596
## [6746,]  0.394159374  0.3909707486
## [6747,] -0.470500381 -0.4795941109
## [6748,]  1.258819128  1.2615356081
## [6749,]  0.472764806  0.4701130086
## [6750,]  0.057728124  0.0522418760
## [6751,] -0.678018722 -0.6885296772
## [6752,] -0.156078652 -0.1630250711
## [6753,] -0.470500381 -0.4795941109
## [6754,]  0.880255367  0.8803864842
## [6755,]  0.340707680  0.3371540118
## [6756,]  0.236948509  0.2326862287
## [6757,] -0.391894949 -0.4004518509
## [6758,]  1.809057154  1.8155314278
## [6759,]  0.551370238  0.5492552685
## [6760,] -0.313289517 -0.3213095910
## [6761,]  0.284111768  0.2801715847
## [6762,] -1.791071643 -1.7637880778
## [6763,] -0.863527542 -0.8753054107
## [6764,] -1.012877864 -1.0256757046
## [6765,] -0.044458938 -0.0506430619
## [6766,] -0.931128214 -0.9433677542
## [6767,]  0.277508912  0.2735236348
## [6768,] -0.973889569 -0.9864211436
## [6769,]  0.818628708  0.8183389524
## [6770,] -0.234684084 -0.2421673310
## [6771,]  0.218083205  0.2136920863
## [6772,] -0.376173862 -0.3846233989
## [6773,]  0.218083205  0.2136920863
## [6774,] -0.376173862 -0.3846233989
## [6775,] -0.722037764 -0.7328493427
## [6776,] -1.335160136 -1.3501589704
## [6777,]  1.258819128  1.2615356081
## [6778,] -0.030309961 -0.0363974551
## [6779,]  1.871941500  1.8788452358
## [6780,]  0.126900904  0.1218870648
## [6781,]  0.740023275  0.7391966924
## [6782,] -0.690595591 -0.7011924388
## [6783,]  0.001132212 -0.0047405512
## [6784,] -0.784922110 -0.7961631507
## [6785,]  2.202084315  2.2112427276
## [6786,]  0.944397399  0.9449665683
## [6787,]  0.661417843  0.6600544325
## [6788,]  0.359572983  0.3561481542
## [6789,]  2.363068240  2.3733260760
## [6790,]  0.789701909  0.7892146007
## [6791,]  2.363068240  2.3733260760
## [6792,]  0.789701909  0.7892146007
## [6793,]  0.394159374  0.3909707486
## [6794,] -0.156078652 -0.1630250711
## [6795,]  0.299832855  0.2960000367
## [6796,] -0.784922110 -0.7961631507
## [6797,]  3.459771231  3.4775188868
## [6798,]  1.494635425  1.4989623880
## [6799,] -0.863527542 -0.5288522535
## [6800,] -0.627711246 -0.6378786308
## [6801,] -1.099343839 -1.1127321905
## [6802,] -1.492371000 -1.5084434903
## [6803,] -1.602418605 -1.6192426542
## [6804,] -0.863527542 -0.8753054107
## [6805,] -1.020738407 -1.0335899306
## [6806,] -0.195381368 -0.2025962010
## [6807,] -1.075762209 -1.0889895125
## [6808,]  2.725596494  2.7383301789
## [6809,]  0.546653912  0.5445067329
## [6810,] -1.885398161 -1.9041547901
## [6811,]  0.567091324  0.5650837205
## [6812,]  0.049678927  0.0441377086
## [6813,]  0.629975670  0.6283975285
## [6814,]  0.158343077  0.1535439688
## [6815,]  0.787186535  0.7866820484
## [6816,]  0.001132212 -0.0047405512
## [6817,]  0.629975670  0.6283975285
## [6818,]  0.524801602  0.5225051847
## [6819,]  1.416029993  1.4198201280
## [6820,]  0.472764806  0.4701130086
## [6821,]  0.787186535  0.7866820484
## [6822,]  0.001132212 -0.0047405512
## [6823,]  2.351434636  2.3616130215
## [6824,]  1.496207534  1.5005452332
## [6825,] -0.093194306 -0.0997112631
## [6826,] -1.319439049 -1.3343305184
## [6827,] -0.022449417 -0.0284832291
## [6828,] -0.371819122 -0.3802389177
## [6829,]  1.227376955  1.2298787041
## [6830,] -0.470500381 -0.4795941109
## [6831,]  0.472764806  0.4701130086
## [6832,] -0.942132975 -0.9544476706
## [6833,] -0.368313319 -0.3767091729
## [6834,] -1.130786012 -1.1443890945
## [6835,]  0.472764806  0.4701130086
## [6836,]  0.158343077  0.1535439688
## [6837,]  1.919104759  1.9263305917
## [6838,]  0.315553941  0.3118284887
## [6839,] -1.099343839 -1.1127321905
## [6840,] -1.413765568 -1.4293012303
## [6841,]  1.714730635  1.7205607159
## [6842,] -0.061752133 -0.0680543591
## [6843,]  0.787186535  0.7866820484
## [6844,]  0.158343077  0.1535439688
## [6845,]  2.516506044  2.5278117674
## [6846,]  1.400308906  1.4039916760
## [6847,] -0.124636479 -0.1313681671
## [6848,] -0.863527542 -0.8753054107
## [6849,]  0.079737645  0.0744017088
## [6850,] -0.163939195 -0.1709392971
## [6851,] -0.156078652 -0.1630250711
## [6852,] -0.470500381 -0.4795941109
## [6853,]  1.714730635  1.7205607159
## [6854,] -0.061752133 -0.0680543591
## [6855,] -0.942132975 -0.6262288901
## [6856,] -1.413765568 -1.2104887100
## [6857,] -1.130786012 -2.0915636616
## [6858,] -0.762912589 -2.0638638707
## [6859,]  1.533938141  1.5385335180
## [6860,]  0.350140331  0.3466510830
## [6861,]  1.180213696  1.1823933482
## [6862,]  0.101747166  0.0965615416
## [6863,] -0.163939195 -0.1709392971
## [6864,] -0.637143897 -0.6473757020
## [6865,] -0.391894949 -0.4004518509
## [6866,] -0.942132975 -0.9544476706
## [6867,] -0.784922110 -0.6700420452
## [6868,] -1.256554704 -1.1827414337
## [6869,]  0.565519216  0.5635008753
## [6870,] -0.324294277 -0.3323895074
## [6871,] -0.163939195 -0.1709392971
## [6872,] -0.637143897 -0.6473757020
## [6873,] -0.470500381 -0.4795941109
## [6874,] -1.177949271 -1.1918744505
## [6875,]  0.299832855  0.2960000367
## [6876,] -0.618278594 -0.6283815596
## [6877,]  2.170642142  2.1795858236
## [6878,] -0.156078652 -0.1630250711
## [6879,]  2.170642142  2.1795858236
## [6880,] -0.156078652 -0.1630250711
## [6881,] -0.470500381 -0.4795941109
## [6882,] -0.942132975 -0.9544476706
## [6883,] -1.413765568 -1.2104887100
## [6884,] -1.570976433 -1.4052419833
## [6885,]  1.023788886  1.0249002509
## [6886,]  0.101747166  0.0965615416
## [6887,]  0.755744362  0.7550251444
## [6888,] -0.564826900 -0.5745648228
## [6889,] -1.177949271 -1.1918744505
## [6890,] -1.413765568 -1.4293012303
## [6891,]  0.857931424  0.8579100823
## [6892,] -0.121492262 -0.1282024767
## [6893,]  0.933392639  0.9338866519
## [6894,]  0.507351196  0.5049356030
## [6895,] -0.156078652 -0.1630250711
## [6896,] -0.470500381 -0.4795941109
## [6897,] -1.020738407 -1.0335899306
## [6898,] -1.728187297 -1.5999952566
## [6899,] -0.470500381 -0.4795941109
## [6900,] -1.413765568 -1.4293012303
## [6901,] -0.044458938 -0.0506430619
## [6902,] -0.931128214 -0.9433677542
## [6903,]  1.258819128  1.2615356081
## [6904,]  0.315553941  0.3118284887
## [6905,]  1.211655869  1.2140502521
## [6906,] -0.659153419 -0.6695355348
## [6907,]  0.472764806  0.4701130086
## [6908,]  0.158343077  0.1535439688
## [6909,]  0.472764806  0.4701130086
## [6910,]  0.158343077  0.1535439688
## [6911,]  0.472764806  0.4701130086
## [6912,] -0.313289517 -0.3213095910
## [6913,] -1.539534260 -1.4903515697
## [6914,] -1.602418605 -1.5587146538
## [6915,] -1.413765568 -1.4293012303
## [6916,] -1.570976433 -1.5875857502
## [6917,]  1.206939543  1.2093017165
## [6918,] -0.261409931 -0.2690756994
## [6919,]  1.604683030  1.6097615519
## [6920,] -0.329010603 -0.3371380430
## [6921,] -0.391910670  0.0553917380
## [6922,] -1.099343839 -1.1127321905
## [6923,] -1.531673716 -1.5480146203
## [6924,]  1.573240857  1.5781046479
## [6925,]  0.197645793  0.1931150987
## [6926,] -1.020738407 -1.0335899306
## [6927,] -1.177949271 -1.1918744505
## [6928,]  0.057728124  0.0522418760
## [6929,] -0.678018722 -0.6885296772
## [6930,]  0.236948509  0.2326862287
## [6931,] -0.407616035 -0.4162803029
## [6932,] -0.534422319 -0.5439525967
## [6933,] -1.073152509 -1.0863619895
## [6934,]  0.277508912  0.2735236348
## [6935,] -0.973889569 -0.9864211436
## [6936,]  1.573240857  1.5781046479
## [6937,] -1.366602309 -1.3818158744
## [6938,]  1.632194931  1.6374613429
## [6939,]  0.302977072  0.2991657271
## [6940,]  1.632194931  1.6374613429
## [6941,]  0.302977072  0.2991657271
## [6942,]  0.315553941  0.3118284887
## [6943,] -0.470500381 -0.4795941109
## [6944,] -0.395982431 -0.4045672484
## [6945,] -1.327488246 -1.3424346858
## [6946,]  1.000678889  1.0016324264
## [6947,]  0.215332015  0.2109221072
## [6948,]  3.538376663  3.5566611468
## [6949,] -0.863527542 -0.7554998575
## [6950,]  1.101608264  1.1032510882
## [6951,]  0.315553941  0.3118284887
## [6952,]  1.337424560  1.3406778681
## [6953,]  0.944397399  0.9449665683
## [6954,]  0.472764806  0.4701130086
## [6955,] -0.549105813 -0.5587363708
## [6956,]  0.787186535  0.7866820484
## [6957,] -0.549105813 -0.5587363708
## [6958,]  1.278470486  1.2813211731
## [6959,] -0.175730010 -0.1828106361
## [6960,]  2.112631333  2.1211788357
## [6961,]  0.049710369  0.0441693655
## [6962,]  0.158343077  0.1535439688
## [6963,] -1.177949271 -1.1918744505
## [6964,] -0.391894949 -0.4004518509
## [6965,] -0.706316678 -0.7170208907
## [6966,] -0.942132975 -0.6262288901
## [6967,] -1.256554704 -1.0157354367
## [6968,] -1.492371000 -1.5084434903
## [6969,] -1.602418605 -1.6192426542
## [6970,] -0.784922110 -0.7961631507
## [6971,]  1.194362674  1.1966389550
## [6972,]  0.101747166  0.0965615416
## [6973,]  1.573240857  1.5781046479
## [6974,]  0.197645793  0.1931150987
## [6975,]  2.646991062  2.6591879189
## [6976,]  0.611110367  0.6094033861
## [6977,]  3.695587528  3.7149456667
## [6978,] -1.413765568 -1.4293012303
## [6979,] -0.627711246 -0.6378786308
## [6980,] -0.863527542 -0.8753054107
## [6981,] -0.077473220 -0.0838828111
## [6982,] -0.234684084 -0.2421673310
## [6983,]  0.475594601  0.4729621299
## [6984,] -0.690281170 -0.7008758697
## [6985,] -0.880522037 -0.8924159673
## [6986,] -1.540131661 -1.5565303274
## [6987,]  1.445444145  1.4494351617
## [6988,] -0.253046313 -0.2606549629
## [6989,]  0.315553941  0.3118284887
## [6990,] -0.942132975 -0.9544476706
## [6991,]  0.958766472  0.9594337734
## [6992,] -0.522317082 -0.5317646886
## [6993,]  0.669278386  0.6679686585
## [6994,] -0.156078652 -0.1630250711
## [6995,] -0.013394072 -0.0193660408
## [6996,] -1.062163470 -1.0752979016
## [6997,] -1.791071643 -1.8091840781
## [6998,]  0.394159374  0.3909707486
## [6999,] -0.018519146 -0.0245261161
## [7000,]  3.459771231  3.4775188868
## [7001,]  0.787186535  0.7866820484
## [7002,]  1.337424560  1.3406778681
## [7003,]  0.551370238  0.5492552685
## [7004,] -0.784922110 -0.4314756168
## [7005,] -1.099343839 -0.8209821634
## [7006,]  1.040296027  1.0415201254
## [7007,] -0.143501783 -0.1503623095
## [7008,] -0.470500381 -0.0419690702
## [7009,] -0.784922110 -0.4314756168
## [7010,] -1.570976433 -1.5245251975
## [7011,] -0.627711246 -0.6378786308
## [7012,] -0.344731690 -0.3529664950
## [7013,] -1.075762209 -1.0889895125
## [7014,] -1.492371000 -1.3078653467
## [7015,] -1.539534260 -1.3663039914
## [7016,] -1.570976433 -1.4052419833
## [7017,] -1.649581865 -1.5026186200
## [7018,]  2.107757796  2.1162720156
## [7019,]  1.353145647  1.3565063201
## [7020,]  1.543370793  1.5480305892
## [7021,] -0.063324242 -0.0696372043
## [7022,]  0.093100568  0.0878558930
## [7023,] -0.744927666 -0.7558955688
## [7024,]  0.023298944  0.0175775662
## [7025,] -0.543446222 -0.5530381281
## [7026,] -1.382323395 -1.3194517735
## [7027,] -1.492371000 -1.4390832137
## [7028,]  0.315553941 -0.3854464784
## [7029,] -0.784922110 -0.7961631507
## [7030,]  1.573240857  1.5781046479
## [7031,]  0.197645793  0.1931150987
## [7032,]  0.551370238  0.5492552685
## [7033,] -0.466570110 -0.4756369979
## [7034,] -1.964003594 -1.9517667737
## [7035,]  0.472764806  0.4701130086
## [7036,] -1.020738407 -1.0335899306
## [7037,] -1.256554704 -1.2710167104
## [7038,] -0.234684084 -0.2421673310
## [7039,] -0.784922110 -0.7961631507
## [7040,]  0.079737645  0.0744017088
## [7041,] -0.156078652 -0.1630250711
## [7042,]  0.857931424  0.8579100823
## [7043,] -0.121492262 -0.1282024767
## [7044,]  1.206939543  1.2093017165
## [7045,] -0.261409931 -0.2690756994
## [7046,]  1.180213696  1.1823933482
## [7047,]  0.101747166  0.0965615416
## [7048,]  0.218083205  0.2136920863
## [7049,] -0.376173862 -0.3846233989
## [7050,]  0.218083205  0.2136920863
## [7051,] -0.376173862 -0.3846233989
## [7052,]  1.101608264  1.1032510882
## [7053,]  0.001132212 -0.0047405512
## [7054,] -0.077473220 -0.0838828111
## [7055,] -0.549105813 -0.5587363708
## [7056,]  0.857931424  0.8579100823
## [7057,] -0.173371847 -0.1804363683
## [7058,]  0.197645793  0.1931150987
## [7059,] -0.313289517 -0.3213095910
## [7060,]  0.001132212 -0.0047405512
## [7061,] -0.674874505 -0.6853639868
## [7062,]  0.394159374  0.3909707486
## [7063,] -0.627711246 -0.6378786308
## [7064,]  1.206939543  1.2093017165
## [7065,] -0.261409931 -0.2690756994
## [7066,]  1.604683030  1.6097615519
## [7067,] -0.329010603 -0.3371380430
## [7068,]  0.001132212 -0.0047405512
## [7069,] -0.391894949 -0.4004518509
## [7070,]  1.604683030  1.6097615519
## [7071,] -0.329010603 -0.3371380430
## [7072,]  1.180213696  1.1823933482
## [7073,]  0.101747166  0.0965615416
## [7074,] -1.995445767 -2.0149539540
## [7075,] -0.627711246 -0.6378786308
## [7076,]  1.809057154  1.8155314278
## [7077,]  0.515997793  0.5136412515
## [7078,] -0.313289517 -0.3213095910
## [7079,] -0.784922110 -0.7961631507
## [7080,]  0.057728124  0.0522418760
## [7081,] -0.678018722 -0.6885296772
## [7082,] -0.195381368 -0.2025962010
## [7083,] -1.075762209 -1.0889895125
## [7084,]  2.580962498  2.5927084206
## [7085,]  0.721157972  0.7202025500
## [7086,]  0.865791967  0.8658243083
## [7087,]  0.472764806  0.4701130086
## [7088,]  0.236948509  0.2326862287
## [7089,] -0.093194306 -0.0997112631
## [7090,]  0.158343077  0.1535439688
## [7091,] -0.784922110 -0.7961631507
## [7092,]  0.787186535  0.7866820484
## [7093,] -0.077473220 -0.0838828111
## [7094,]  0.001132212 -0.0047405512
## [7095,] -0.784922110 -0.7961631507
## [7096,]  0.771465448  0.7708535964
## [7097,] -0.596269073 -0.6062217268
## [7098,] -0.706316678 -0.7170208907
## [7099,] -1.256554704 -1.2710167104
## [7100,] -0.313289517 -0.3213095910
## [7101,]  0.475594601  0.4729621299
## [7102,] -0.690281170 -0.7008758697
## [7103,]  0.158343077  0.1535439688
## [7104,] -0.234684084 -0.2421673310
## [7105,]  0.519928065  0.5175983645
## [7106,] -0.250405171 -0.2579957830
## [7107,]  1.101608264  1.1032510882
## [7108,]  0.001132212 -0.0047405512
## [7109,]  3.145349502  3.1609498470
## [7110,]  1.769754438  1.7759602978
## [7111,] -0.439058208 -0.4479372069
## [7112,] -0.879248629 -0.8911338626
## [7113,]  1.981989105  1.9896443997
## [7114,]  0.535649152  0.5334268165
## [7115,]  2.516506044  2.5278117674
## [7116,]  1.400308906  1.4039916760
## [7117,]  1.180213696  1.1823933482
## [7118,]  0.101747166  0.0965615416
## [7119,]  0.472764806  0.4701130086
## [7120,]  0.001132212 -0.0047405512
## [7121,]  1.227376955  1.2298787041
## [7122,]  0.032574385  0.0269163528
## [7123,]  0.935750802  0.9362609197
## [7124,]  0.137544079  0.1326029268
## [7125,]  0.394159374  0.3909707486
## [7126,] -0.077473220 -0.0838828111
## [7127,]  1.416029993  1.4198201280
## [7128,]  0.315553941  0.3118284887
## [7129,] -0.734614633 -0.7455121043
## [7130,] -1.394900264 -1.4103070879
## [7131,]  0.079737645  0.0744017088
## [7132,] -0.942132975 -1.3189769200
## [7133,] -1.429486654 -1.3707201295
## [7134,]  1.368866733  1.3723347721
## [7135,] -0.077473220 -0.0838828111
## [7136,]  1.416029993  1.4198201280
## [7137,] -0.171799739 -0.1788535231
## [7138,]  0.386298830  0.3830565226
## [7139,] -0.580547986 -0.5903932748
## [7140,] -0.313289517 -0.3213095910
## [7141,] -0.989296234 -1.0019330266
## [7142,]  0.158343077  0.1535439688
## [7143,] -0.659153419 -0.6695355348
## [7144,]  0.236948509  0.2326862287
## [7145,] -0.670944233 -0.6814068738
## [7146,]  2.359295180  2.3695272475
## [7147,] -0.486221468 -0.4954225629
## [7148,]  2.136055752  2.1447632292
## [7149,]  0.073449210  0.0680703280
## [7150,] -1.885398161 -1.9041547901
## [7151,]  1.101608264  1.1032510882
## [7152,]  0.708581102  0.7075397884
## [7153,]  0.290400203  0.2865029655
## [7154,] -0.703172461 -0.7138552003
## [7155,]  0.881513053  0.8816527603
## [7156,]  0.158343077  0.1535439688
## [7157,]  0.787186535  0.7866820484
## [7158,]  0.394159374  0.3909707486
## [7159,]  1.278470486  1.2813211731
## [7160,] -0.175730010 -0.1828106361
## [7161,]  0.048295472  0.0427448048
## [7162,] -0.879248629 -0.8911338626
## [7163,]  1.423890536  1.4277343540
## [7164,] -0.412332361 -0.4210288385
## [7165,]  0.158343077  0.1535439688
## [7166,] -0.942132975 -0.9544476706
## [7167,] -0.403937301 -0.4125764452
## [7168,] -1.185180971 -1.1991555384
## [7169,] -0.643432332 -0.6537070828
## [7170,] -1.115064926 -1.1285606425
## [7171,] -1.099343839 -1.0485794746
## [7172,] -1.570976433 -1.5875857502
## [7173,]  1.970984344  1.9785644833
## [7174,]  0.527788608  0.5255125905
## [7175,]  1.970984344  1.9785644833
## [7176,]  0.527788608  0.5255125905
## [7177,]  0.158343077  0.1535439688
## [7178,] -0.382462297 -0.3909547797
## [7179,]  0.315553941  0.3118284887
## [7180,] -0.470500381 -0.4795941109
## [7181,]  1.180213696  1.1823933482
## [7182,] -0.156078652 -0.1630250711
## [7183,] -0.135798451 -0.1426063680
## [7184,] -1.190872004 -1.2048854380
## [7185,]  0.001132212 -0.0047405512
## [7186,] -0.470500381 -0.4795941109
## [7187,] -1.020738407 -1.0335899306
## [7188,] -1.177949271 -1.1918744505
## [7189,]  1.101608264  1.1032510882
## [7190,]  0.158343077  0.1535439688
## [7191,]  0.875224619  0.8753213795
## [7192,] -0.667013962 -0.6774497608
## [7193,] -0.470500381 -0.4795941109
## [7194,] -0.863527542 -0.8753054107
## [7195,]  0.565519216  0.5635008753
## [7196,] -0.324294277 -0.3323895074
## [7197,]  0.158343077  0.1535439688
## [7198,] -0.313289517 -0.3213095910
## [7199,]  1.573240857  1.5781046479
## [7200,]  0.394159374  0.3909707486
## [7201,] -0.218962998 -0.2263388790
## [7202,] -0.722037764 -0.7328493427
## [7203,] -1.099343839 -1.1127321905
## [7204,] -1.531673716 -1.5480146203
## [7205,] -0.627711246 -0.6378786308
## [7206,] -1.036459493 -1.0494183826
## [7207,] -0.391894949 -0.4004518509
## [7208,] -0.627711246 -0.6378786308
## [7209,] -0.942132975 -0.9544476706
## [7210,] -1.099343839 -1.1127321905
## [7211,]  0.787186535  0.7866820484
## [7212,] -0.234684084 -0.2421673310
## [7213,] -1.602418605 -1.6192426542
## [7214,] -0.470500381 -0.4795941109
## [7215,] -0.313289517 -0.3213095910
## [7216,] -1.177949271 -1.1918744505
## [7217,]  1.604683030  1.6097615519
## [7218,] -0.329010603 -0.3371380430
## [7219,]  0.001132212 -0.0047405512
## [7220,] -0.784922110 -0.7961631507
## [7221,]  1.206939543  1.2093017165
## [7222,] -0.261409931 -0.2690756994
## [7223,]  0.629975670  0.6283975285
## [7224,]  0.236948509  0.2326862287
## [7225,]  0.315553941  0.3118284887
## [7226,]  0.001132212 -0.0047405512
## [7227,]  0.001132212 -0.0047405512
## [7228,] -0.313289517 -0.3213095910
## [7229,]  1.180213696  1.1823933482
## [7230,]  0.101747166  0.0965615416
## [7231,]  0.787186535  0.7866820484
## [7232,] -1.099343839 -1.1127321905
## [7233,]  1.683288462  1.6889038119
## [7234,] -0.250405171 -0.2579957830
## [7235,] -1.225112531 -1.1485519774
## [7236,] -1.791071643 -1.7637880778
## [7237,]  0.875224619  0.8753213795
## [7238,] -0.695311917 -0.7059409744
## [7239,] -0.156078652 -0.1630250711
## [7240,] -0.627711246 -0.6378786308
## [7241,]  2.351434636  2.3616130215
## [7242,]  1.496207534  1.5005452332
## [7243,]  0.944397399  0.9449665683
## [7244,]  0.029430168  0.0237506624
## [7245,] -1.570976433 -1.5245251975
## [7246,] -1.602418605 -1.5587146538
## [7247,] -1.759629470 -1.7296144500
## [7248,] -1.602418605 -1.5587146538
## [7249,] -1.759629470 -1.7296144500
## [7250,]  0.158343077  0.1535439688
## [7251,] -0.234684084 -0.2421673310
## [7252,] -0.470500381 -0.4795941109
## [7253,] -0.863527542 -0.8753054107
## [7254,]  1.573240857  1.5781046479
## [7255,] -1.366602309 -1.3818158744
## [7256,]  1.368866733  1.3723347721
## [7257,] -0.077473220 -0.0838828111
## [7258,] -0.313289517 -0.3213095910
## [7259,] -0.942132975 -0.9544476706
## [7260,] -0.470500381 -0.4795941109
## [7261,] -0.784922110 -0.7961631507
## [7262,]  0.386298830  0.3830565226
## [7263,] -0.580547986 -0.5903932748
## [7264,]  0.524801602  0.5225051847
## [7265,]  0.524801602  0.5225051847
## [7266,] -0.077473220 -0.0838828111
## [7267,] -0.745619394 -0.7565920207
## [7268,]  0.944397399  0.9449665683
## [7269,]  0.551370238  0.5492552685
## [7270,]  0.386298830  0.3830565226
## [7271,] -0.580547986 -0.5903932748
## [7272,] -0.439058208 -0.4479372069
## [7273,] -0.879248629 -0.8911338626
## [7274,]  1.101608264  1.1032510882
## [7275,] -0.061752133 -0.0680543591
## [7276,]  2.359295180  2.3695272475
## [7277,] -0.313289517 -0.3213095910
## [7278,] -0.077473220 -0.0838828111
## [7279,] -0.344731690 -0.3529664950
## [7280,]  0.504206979  0.5017699126
## [7281,] -0.156078652 -0.1630250711
## [7282,] -0.439058208 -0.4479372069
## [7283,] -0.879248629 -0.8911338626
## [7284,] -1.225112531 -1.1485519774
## [7285,] -1.791071643 -1.7637880778
## [7286,]  2.359295180  2.3695272475
## [7287,]  0.787186535  0.7866820484
## [7288,] -0.234684084 -0.2421673310
## [7289,] -0.698456135 -0.7091066647
## [7290,]  1.604683030  1.6097615519
## [7291,] -0.329010603 -0.3371380430
## [7292,] -0.627711246 -0.6378786308
## [7293,] -0.218962998 -0.2263388790
## [7294,] -0.722037764 -0.7328493427
## [7295,]  0.284111768  0.2801715847
## [7296,] -0.313289517 -0.3213095910
## [7297,] -1.335160136 -1.1131120734
## [7298,] -1.790285588 -1.6769215333
## [7299,] -0.470500381 -0.4795941109
## [7300,] -0.863527542 -0.8753054107
## [7301,]  0.054583906  0.0490761856
## [7302,] -0.428053448 -0.4368572905
## [7303,]  0.551370238  0.5492552685
## [7304,]  0.158343077  0.1535439688
## [7305,]  0.865791967  0.8658243083
## [7306,]  0.551370238  0.5492552685
## [7307,]  0.857931424  0.8579100823
## [7308,] -0.121492262 -0.1282024767
## [7309,] -0.077473220 -0.0838828111
## [7310,] -0.989296234 -1.0019330266
## [7311,] -1.570976433 -1.5875857502
## [7312,]  1.323275583  1.3264322613
## [7313,]  0.842210337  0.8420816304
## [7314,]  1.161348392  1.1633992058
## [7315,]  0.348568223  0.3450682378
## [7316,]  0.472764806  0.4701130086
## [7317,]  0.001132212 -0.0047405512
## [7318,]  1.293405518  1.2963582025
## [7319,]  0.271534899  0.2675088231
## [7320,]  0.740023275  0.7391966924
## [7321,] -0.690595591 -0.7011924388
## [7322,]  0.472764806  0.4701130086
## [7323,] -0.077473220 -0.0838828111
## [7324,]  1.180213696  1.1823933482
## [7325,]  0.787186535  0.7866820484
## [7326,]  0.315553941  0.3118284887
## [7327,] -0.564826900 -0.5745648228
## [7328,]  2.225665945  2.2349854056
## [7329,]  0.472764806  0.4701130086
## [7330,]  0.727446406  0.7265339308
## [7331,]  0.015281190  0.0095050556
## [7332,]  0.290400203  0.2865029655
## [7333,] -0.703172461 -0.7138552003
## [7334,] -0.863527542 -0.8753054107
## [7335,] -1.099343839 -1.1127321905
## [7336,] -0.533384727 -0.5429079188
## [7337,] -1.225112531 -1.2393598064
## [7338,]  0.897234140  0.8974812123
## [7339,]  0.268390682  0.2643431327
## [7340,] -0.077473220 -0.0838828111
## [7341,] -0.234684084 -0.2421673310
## [7342,] -0.706316678 -0.7170208907
## [7343,] -1.256554704 -1.2710167104
## [7344,]  0.472764806  0.4701130086
## [7345,] -0.549105813 -0.5587363708
## [7346,] -0.253549388 -0.2611614734
## [7347,] -0.846234347 -0.8578941135
## [7348,] -0.470500381 -0.4795941109
## [7349,] -1.099343839 -1.1127321905
## [7350,] -0.156078652 -0.1630250711
## [7351,] -0.784922110 -0.7961631507
## [7352,]  0.001132212 -0.0047405512
## [7353,] -0.470500381 -0.4795941109
## [7354,] -0.156078652 -0.1630250711
## [7355,] -0.549105813 -0.5587363708
## [7356,]  2.316848246  2.3267904271
## [7357,]  0.758888579  0.7581908348
## [7358,]  2.316848246  2.3267904271
## [7359,]  0.758888579  0.7581908348
## [7360,]  0.818628708  0.8183389524
## [7361,] -0.234684084 -0.2421673310
## [7362,] -0.627711246 -0.6378786308
## [7363,] -1.036459493 -1.0494183826
## [7364,]  1.085887177  1.0874226362
## [7365,]  1.258819128  1.2615356081
## [7366,]  0.724302189  0.7233682404
## [7367,] -0.156078652 -0.1630250711
## [7368,] -0.627711246 -0.6378786308
## [7369,]  0.001132212 -0.0047405512
## [7370,] -0.784922110 -0.7961631507
## [7371,]  0.158343077  0.1535439688
## [7372,] -0.627711246 -0.6378786308
## [7373,]  0.565519216  0.5635008753
## [7374,] -0.324294277 -0.3323895074
## [7375,] -0.374601754 -0.3830405537
## [7376,] -1.225112531 -1.2393598064
## [7377,]  0.315553941  0.3118284887
## [7378,]  0.001132212 -0.0047405512
## [7379,]  0.394159374  0.3909707486
## [7380,] -0.156078652 -0.1630250711
## [7381,]  1.423890536  1.4277343540
## [7382,] -0.195381368 -0.2025962010
## [7383,]  0.590672954  0.5888263985
## [7384,]  0.236948509  0.2326862287
## [7385,] -1.413765568 -1.2104887100
## [7386,] -1.979724680 -1.9798781044
## [7387,]  0.944397399  0.9449665683
## [7388,]  0.248739324  0.2445575677
## [7389,]  1.180213696  1.1823933482
## [7390,]  0.248739324  0.2445575677
## [7391,] -0.946849301 -0.6320695889
## [7392,] -1.488440729 -1.3030060119
## [7393,] -0.234684084 -0.2421673310
## [7394,] -0.549105813 -0.5587363708
## [7395,]  1.966268018  1.9738159477
## [7396,]  0.394159374  0.3909707486
## [7397,]  0.315553941  0.3118284887
## [7398,] -0.156078652 -0.1630250711
## [7399,]  0.399001468  0.3958459118
## [7400,] -0.773823023 -0.7849882636
## [7401,]  1.337424560  1.3406778681
## [7402,] -0.234684084 -0.2421673310
## [7403,]  2.516506044  2.5278117674
## [7404,]  1.243098042  1.2457071561
## [7405,]  2.187558031  2.1966172379
## [7406,]  0.824178251  0.8239263959
## [7407,] -1.335160136 -1.2681834175
## [7408,] -1.806792729 -1.7808828060
## [7409,] -0.470500381 -0.4795941109
## [7410,] -0.784922110 -0.7961631507
## [7411,]  1.206939543  1.2093017165
## [7412,] -0.261409931 -0.2690756994
## [7413,] -0.391894949 -0.4004518509
## [7414,] -1.020738407 -1.0335899306
## [7415,] -0.313289517 -0.3213095910
## [7416,] -1.099343839 -1.1127321905
## [7417,] -0.470500381 -0.4795941109
## [7418,] -0.784922110 -0.7961631507
## [7419,]  1.278470486  1.2813211731
## [7420,] -0.175730010 -0.1828106361
## [7421,]  0.771465448  0.7708535964
## [7422,]  0.189785250  0.1852008727
## [7423,]  0.158343077  0.1535439688
## [7424,] -0.234684084 -0.2421673310
## [7425,] -0.784922110 -0.7961631507
## [7426,]  0.787186535  0.7866820484
## [7427,]  0.001132212 -0.0047405512
## [7428,]  0.158343077  0.1535439688
## [7429,] -0.470500381 -0.4795941109
## [7430,]  1.573240857  1.5781046479
## [7431,]  0.787186535  0.7866820484
## [7432,]  0.001132212 -0.0047405512
## [7433,] -0.470500381 -0.4795941109
## [7434,]  0.001132212 -0.0047405512
## [7435,] -0.784922110 -0.7961631507
## [7436,] -0.266126257 -0.2738242350
## [7437,]  1.927751357  1.9350362403
## [7438,]  0.758888579  0.7581908348
## [7439,]  0.504206979  0.5017699126
## [7440,] -0.156078652 -0.1630250711
## [7441,]  0.787186535  0.7866820484
## [7442,]  0.158343077  0.1535439688
## [7443,]  0.857931424  0.8579100823
## [7444,] -0.121492262 -0.1282024767
## [7445,] -0.470500381 -0.4795941109
## [7446,] -0.706316678 -0.7170208907
## [7447,]  0.590672954  0.5888263985
## [7448,]  0.394159374  0.3909707486
## [7449,]  0.857931424  0.8579100823
## [7450,] -0.121492262 -0.1282024767
## [7451,]  0.079737645  0.0744017088
## [7452,] -1.350881222 -1.3659874224
## [7453,]  1.337424560  1.3406778681
## [7454,]  0.551370238  0.5492552685
## [7455,]  0.386298830  0.3830565226
## [7456,] -0.580547986 -0.5903932748
## [7457,] -0.107343284 -0.1139568699
## [7458,] -0.580547986 -0.5903932748
## [7459,]  0.535649152  0.5334268165
## [7460,] -0.124636479 -0.1313681671
## [7461,] -0.156078652 -0.1630250711
## [7462,] -0.470500381 -0.4795941109
## [7463,]  0.386298830  0.3830565226
## [7464,] -0.580547986 -0.5903932748
## [7465,]  0.481568614  0.4789769417
## [7466,] -0.542188535 -0.5517718520
## [7467,] -0.156078652 -0.1630250711
## [7468,] -0.470500381 -0.4795941109
## [7469,]  1.543370793  1.5480305892
## [7470,] -0.063324242 -0.0696372043
## [7471,] -0.470500381 -0.4795941109
## [7472,] -0.627711246 -0.6378786308
## [7473,]  2.225665945  2.2349854056
## [7474,]  0.472764806  0.4701130086
## [7475,] -1.382323395 -1.1715507181
## [7476,] -1.539534260 -1.3663039914
## [7477,]  0.186641032  0.1820351823
## [7478,] -0.130924914 -0.1376995479
## [7479,] -1.602418605 -1.4441958037
## [7480,] -1.759629470 -1.6389490770
## [7481,]  0.252669595  0.2485146807
## [7482,] -0.344731690 -0.3529664950
## [7483,]  0.315553941  0.3118284887
## [7484,] -0.627711246 -0.6378786308
## [7485,]  0.158343077  0.1535439688
## [7486,] -1.177949271 -1.1918744505
## [7487,]  1.353145647  1.3565063201
## [7488,]  0.504206979  0.5017699126
## [7489,] -0.313289517 -0.3213095910
## [7490,]  0.001132212 -0.0047405512
## [7491,] -0.784922110 -0.7961631507
## [7492,]  1.754033351  1.7601318458
## [7493,] -0.242544628 -0.2500815570
## [7494,] -0.313289517 -0.3213095910
## [7495,] -0.942132975 -0.9544476706
## [7496,]  0.158343077  0.1535439688
## [7497,] -0.234684084 -0.2421673310
## [7498,] -0.391894949 -0.4004518509
## [7499,]  0.394159374  0.3909707486
## [7500,]  0.079737645  0.0744017088
## [7501,]  0.057728124  0.0522418760
## [7502,] -0.678018722 -0.6885296772
## [7503,]  0.001132212 -0.0047405512
## [7504,] -0.156078652 -0.1630250711
## [7505,] -0.439058208 -0.4479372069
## [7506,] -0.871388086 -0.8832196366
## [7507,]  0.315553941  0.3118284887
## [7508,] -0.313289517 -0.3213095910
## [7509,] -0.077473220 -0.0838828111
## [7510,] -0.344731690 -0.3529664950
## [7511,] -0.077473220 -0.0838828111
## [7512,] -0.784922110 -0.7961631507
## [7513,]  0.394159374  0.3909707486
## [7514,] -0.470500381 -0.4795941109
## [7515,] -0.077473220 -0.0838828111
## [7516,] -0.549105813 -0.5587363708
## [7517,]  0.001132212 -0.0047405512
## [7518,]  0.001132212 -0.0047405512
## [7519,] -0.784922110 -0.7961631507
## [7520,]  0.001132212 -0.0047405512
## [7521,] -0.352592233 -0.3608807209
## [7522,] -0.368313319 -0.3767091729
## [7523,] -1.555255346 -1.5717572983
## [7524,]  1.730451722  1.7363891678
## [7525,]  0.394159374  0.3909707486
## [7526,] -1.728187297 -1.7458702702
## [7527,] -1.728187297 -1.7458702702
## [7528,]  1.573240857  1.5781046479
## [7529,] -1.366602309 -1.3818158744
## [7530,]  0.944397399  0.9449665683
## [7531,]  0.158343077  0.1535439688
## [7532,]  1.927751357  1.9350362403
## [7533,]  0.758888579  0.7581908348
## [7534,] -0.942132975 -0.8822699295
## [7535,] -1.570976433 -1.5474922814
## [7536,]  1.101608264  1.1032510882
## [7537,] -0.061752133 -0.0680543591
## [7538,]  0.001132212 -0.0047405512
## [7539,] -0.784922110 -0.7961631507
## [7540,]  1.548087119  1.5527791248
## [7541,]  0.529360717  0.5270954357
## [7542,]  0.001132212 -0.0047405512
## [7543,]  0.001132212 -0.0047405512
## [7544,] -1.728187297 -1.7458702702
## [7545,] -0.470500381 -0.4795941109
## [7546,] -0.863527542 -0.8753054107
## [7547,]  0.158343077  0.1535439688
## [7548,] -0.234684084 -0.2421673310
## [7549,] -1.995445767 -1.9965138074
## [7550,]  1.038723918  1.0399372802
## [7551,] -0.093194306 -0.0997112631
## [7552,] -1.020738407 -1.0335899306
## [7553,] -1.335160136 -1.3501589704
## [7554,] -0.014588874 -0.0205690031
## [7555,] -0.486221468 -0.4954225629
## [7556,] -0.156078652 -0.1630250711
## [7557,] -0.470500381 -0.4795941109
## [7558,]  0.001132212 -0.0047405512
## [7559,] -0.627711246 -0.6378786308
## [7560,]  1.510356511  1.5147908400
## [7561,]  0.802907621  0.8025105004
## [7562,]  0.629975670  0.6283975285
## [7563,]  0.079737645  0.0744017088
## [7564,]  1.337424560  1.3406778681
## [7565,]  0.551370238  0.5492552685
## [7566,]  0.629975670  0.6283975285
## [7567,]  0.158343077  0.1535439688
## [7568,] -0.784922110 -0.7961631507
## [7569,] -0.313289517 -0.3213095910
## [7570,] -0.549105813 -0.5587363708
## [7571,] -1.177949271 -0.9172508084
## [7572,] -1.492371000 -1.3070580956
## [7573,] -0.706316678 -0.7170208907
## [7574,] -1.256554704 -1.2710167104
## [7575,]  0.857931424  0.8579100823
## [7576,] -0.121492262 -0.1282024767
## [7577,]  0.661417843  0.6600544325
## [7578,]  0.221227423  0.2168577767
## [7579,]  0.565519216  0.5635008753
## [7580,] -0.324294277 -0.3323895074
## [7581,] -0.313289517 -0.3213095910
## [7582,] -1.177949271 -1.1918744505
## [7583,]  0.394159374  0.3909707486
## [7584,] -0.470500381 -0.4795941109
## [7585,]  0.276251225  0.2722573587
## [7586,] -0.682735048 -0.6932782128
## [7587,] -1.177949271 -1.1918744505
## [7588,] -1.413765568 -1.4293012303
## [7589,]  0.535649152  0.5334268165
## [7590,] -0.124636479 -0.1313681671
## [7591,] -0.077473220 -0.0838828111
## [7592,] -0.784922110 -0.7961631507
## [7593,]  0.755744362 -1.6767790772
## [7594,]  0.394159374  0.3909707486
## [7595,] -0.470500381 -0.4795941109
## [7596,]  0.394159374  0.3909707486
## [7597,] -0.470500381 -0.4795941109
## [7598,]  0.787186535  0.7866820484
## [7599,] -0.077473220 -0.0838828111
## [7600,] -1.177949271 -0.9172508084
## [7601,] -1.413765568 -1.2096023167
## [7602,] -0.077473220 -0.0838828111
## [7603,] -0.784922110 -0.7961631507
## [7604,]  0.661417843  0.6600544325
## [7605,]  0.221227423  0.2168577767
## [7606,]  2.516506044  2.5278117674
## [7607,]  1.400308906  1.4039916760
## [7608,] -0.470500381 -0.4795941109
## [7609,] -0.863527542 -0.8753054107
## [7610,] -0.077473220 -0.0838828111
## [7611,] -0.234684084 -0.2421673310
## [7612,] -0.784922110 -0.7961631507
## [7613,] -1.130786012 -1.1443890945
## [7614,] -1.256554704 -1.2148890197
## [7615,] -1.806792729 -1.7969486847
## [7616,]  0.158343077  0.1535439688
## [7617,] -0.470500381 -0.4795941109
## [7618,]  0.629975670  0.6283975285
## [7619,]  0.001132212 -0.0047405512
## [7620,] -0.391894949 -0.4004518509
## [7621,] -0.470500381 -0.4795941109
## [7622,] -0.863527542 -0.8753054107
## [7623,]  0.001132212 -0.0047405512
## [7624,] -0.784922110 -0.7961631507
## [7625,] -1.649581865 -1.6306391397
## [7626,] -1.791071643 -1.7803129817
## [7627,] -0.534422319 -0.5439525967
## [7628,] -1.073152509 -1.0863619895
## [7629,]  0.394159374  0.3909707486
## [7630,] -0.156078652 -0.1630250711
## [7631,] -0.470500381 -0.4795941109
## [7632,] -0.863527542 -0.8753054107
## [7633,]  1.565380314  1.5701904219
## [7634,] -0.001225951 -0.0071148190
## [7635,] -0.431197665 -0.4400229809
## [7636,] -0.784922110 -0.7961631507
## [7637,]  1.565380314  1.5701904219
## [7638,] -0.001225951 -0.0071148190
## [7639,] -1.492371000 -1.5084434903
## [7640,] -1.602418605 -1.6192426542
## [7641,]  1.565380314  1.5701904219
## [7642,] -0.001225951 -0.0071148190
## [7643,] -1.476649914 -1.4477097200
## [7644,]  0.629975670  0.6283975285
## [7645,] -0.470500381 -0.4795941109
## [7646,] -0.360452776 -0.3687949469
## [7647,] -0.722037764 -0.7328493427
## [7648,]  0.944397399  0.9449665683
## [7649,]  0.001132212 -0.0047405512
## [7650,]  0.944397399  0.9449665683
## [7651,]  0.001132212 -0.0047405512
## [7652,]  0.944397399  0.9449665683
## [7653,] -0.313289517 -0.3213095910
## [7654,]  0.515997793  0.5136412515
## [7655,]  0.181924706  0.1772866467
## [7656,] -0.743418442 -0.7543760374
## [7657,] -1.317866941 -1.3327476732
## [7658,]  0.944397399  0.9449665683
## [7659,]  0.001132212 -0.0047405512
## [7660,]  0.768321231  0.7676879060
## [7661,] -0.429625556 -0.4384401357
## [7662,] -0.313289517 -0.3213095910
## [7663,] -1.099343839 -1.1127321905
## [7664,] -0.218962998 -0.2263388790
## [7665,] -0.722037764 -0.7328493427
## [7666,]  0.001132212 -0.0047405512
## [7667,] -0.784922110 -0.7961631507
## [7668,]  0.158343077  0.1535439688
## [7669,] -0.234684084 -0.2421673310
## [7670,]  1.038723918  1.0399372802
## [7671,] -0.093194306 -0.0997112631
## [7672,]  0.142621990  0.1377155168
## [7673,] -0.313289517 -0.3213095910
## [7674,] -0.534422319 -0.5439525967
## [7675,] -1.073152509 -1.0863619895
## [7676,]  1.023002831  1.0241088283
## [7677,]  0.001132212 -0.0047405512
## [7678,]  1.510356511  1.5147908400
## [7679,]  0.802907621  0.8025105004
## [7680,]  0.582812411  0.5809121725
## [7681,]  0.048295472  0.0427448048
## [7682,]  1.651846289  1.6572469079
## [7683,]  0.551370238  0.5492552685
## [7684,]  3.145349502  4.4425321194
## [7685,] -1.649581865 -1.5019538250
## [7686,] -1.602418605 -1.5807478590
## [7687,] -1.759629470 -1.7470574041
## [7688,]  0.299832855  0.2960000367
## [7689,] -0.618278594 -0.6283815596
## [7690,] -1.445207741 -1.4144541424
## [7691,] -0.156078652 -0.1630250711
## [7692,] -0.470500381 -0.4795941109
## [7693,] -1.177949271 -1.1918744505
## [7694,] -1.413765568 -1.4293012303
## [7695,] -1.570976433 -1.5875857502
## [7696,] -0.250405171 -0.2579957830
## [7697,] -0.407616035 -0.4162803029
## [7698,]  0.263674356  0.2595945971
## [7699,] -0.486221468 -0.4954225629
## [7700,] -0.403937301 -0.4125764452
## [7701,] -1.185180971 -1.1991555384
## [7702,] -0.784922110 -0.7961631507
## [7703,] -1.335160136 -1.3501589704
## [7704,]  0.787186535  0.7866820484
## [7705,]  1.101608264  1.1032510882
## [7706,] -0.061752133 -0.0680543591
## [7707,] -1.335160136 -1.2980358780
## [7708,] -1.806792729 -1.7969486847
## [7709,] -0.627711246 -0.6378786308
## [7710,] -1.256554704 -1.2710167104
## [7711,] -1.570976433 -1.5875857502
## [7712,] -0.470500381 -0.4795941109
## [7713,] -0.863527542 -0.8753054107
## [7714,]  0.001132212 -0.0047405512
## [7715,] -0.784922110 -0.7961631507
## [7716,] -1.649581865 -1.6306391397
## [7717,] -1.791071643 -1.7803129817
## [7718,]  0.629975670  0.6283975285
## [7719,] -0.234684084 -0.2421673310
## [7720,] -0.344731690 -0.3529664950
## [7721,] -1.075762209 -1.0889895125
## [7722,]  0.362717201  0.3593138446
## [7723,] -0.627711246 -0.6378786308
## [7724,]  0.661417843  0.6600544325
## [7725,] -0.470500381 -0.4795941109
## [7726,] -0.534422319 -0.5439525967
## [7727,] -1.073152509 -1.0863619895
## [7728,] -0.470500381 -0.4795941109
## [7729,] -0.863527542 -0.8753054107
## [7730,]  0.629975670  0.6283975285
## [7731,]  0.692860016  0.6917113364
## [7732,] -0.322722169 -0.3308066622
## [7733,]  0.802907621  0.8025105004
## [7734,] -0.954709844 -0.9671104322
## [7735,]  0.236948509  0.2326862287
## [7736,] -0.391894949 -0.4004518509
## [7737,]  1.258819128  1.2615356081
## [7738,]  0.724302189  0.7233682404
## [7739,] -0.313289517 -0.3213095910
## [7740,] -0.942132975 -0.9544476706
## [7741,]  0.001132212 -0.0047405512
## [7742,] -0.784922110 -0.7961631507
## [7743,]  1.258819128  1.2615356081
## [7744,]  0.001132212 -0.0047405512
## [7745,]  0.057728124  0.0522418760
## [7746,] -0.678018722 -0.6885296772
## [7747,] -0.313289517 -0.3213095910
## [7748,] -0.784922110 -0.7961631507
## [7749,]  1.038723918  1.0399372802
## [7750,] -0.093194306 -0.0997112631
## [7751,]  0.472764806  0.4701130086
## [7752,] -0.470500381 -0.4795941109
## [7753,]  0.158343077  0.1535439688
## [7754,] -0.234684084 -0.2421673310
## [7755,]  0.669278386  0.6679686585
## [7756,] -0.156078652 -0.1630250711
## [7757,]  0.040434928  0.0348305788
## [7758,] -0.313289517 -0.3213095910
## [7759,] -1.335160136 -1.3501589704
## [7760,] -1.492371000 -1.5084434903
## [7761,]  0.453113448  0.4503274436
## [7762,]  0.158343077  0.1535439688
## [7763,] -1.413765568 -1.3811827363
## [7764,] -1.570976433 -1.5474922814
## [7765,]  0.236948509  0.2326862287
## [7766,] -0.234684084 -0.2421673310
## [7767,]  0.315553941  0.3118284887
## [7768,] -0.391894949 -0.4004518509
## [7769,] -0.706316678 -0.7170208907
## [7770,] -1.256554704 -1.2710167104
## [7771,] -0.313289517 -0.3213095910
## [7772,] -0.863527542 -0.8753054107
## [7773,]  0.842210337  0.8420816304
## [7774,]  0.032574385  0.0269163528
## [7775,]  0.746783343  0.7460029268
## [7776,] -0.238457145 -0.2459661595
## [7777,] -0.470500381 -0.4795941109
## [7778,]  0.740023275  0.7391966924
## [7779,] -0.800643197 -0.8119916027
## [7780,]  1.101608264  1.1032510882
## [7781,]  0.189785250  0.1852008727
## [7782,] -0.704430147 -0.6308191412
## [7783,] -1.172289680 -1.1257431781
## [7784,] -1.460928827 -1.2680726184
## [7785,] -1.696745124 -1.5604241266
## [7786,] -0.013960031 -0.0199358651
## [7787,] -0.566399008 -0.5761476680
## [7788,] -0.863527542 -0.8753054107
## [7789,] -0.549105813 -0.5587363708
## [7790,]  0.331275028  0.3276569407
## [7791,] -0.784922110 -0.7961631507
## [7792,] -1.130786012 -1.1443890945
## [7793,] -0.470500381 -0.4795941109
## [7794,] -0.863527542 -0.8753054107
## [7795,] -0.627711246 -0.6378786308
## [7796,] -1.256554704 -1.2710167104
## [7797,] -1.570976433 -1.5875857502
## [7798,]  0.565519216  0.5635008753
## [7799,] -0.324294277 -0.3323895074
## [7800,]  0.001132212 -0.0047405512
## [7801,] -0.784922110 -0.7961631507
## [7802,]  1.258819128  1.2615356081
## [7803,]  0.073449210  0.0680703280
## [7804,]  0.857931424  0.8579100823
## [7805,] -0.121492262 -0.1282024767
## [7806,]  0.158343077  0.1535439688
## [7807,] -1.177949271 -1.1918744505
## [7808,] -1.649581865 -1.6306391397
## [7809,] -1.791071643 -1.7803129817
## [7810,]  0.991560659  0.9924519243
## [7811,]  0.032574385  0.0269163528
## [7812,] -0.156078652 -0.1630250711
## [7813,] -0.470500381 -0.4795941109
## [7814,] -0.627711246 -0.6378786308
## [7815,] -1.256554704 -1.2710167104
## [7816,]  1.214800086  1.2172159425
## [7817,]  0.284111768  0.2801715847
## [7818,] -1.398044482 -1.3645628617
## [7819,] -1.445207741 -1.4144541424
## [7820,]  1.463193252  1.4673054840
## [7821,]  0.519928065  0.5175983645
## [7822,]  0.394159374  0.3909707486
## [7823,]  0.001132212 -0.0047405512
## [7824,] -0.313289517 -0.3213095910
## [7825,] -0.942132975 -0.9544476706
## [7826,]  0.236948509  0.2326862287
## [7827,] -0.407616035 -0.4162803029
## [7828,]  0.441322633  0.4384561046
## [7829,] -0.281847344 -0.2896526870
## [7830,]  2.359295180  2.3695272475
## [7831,] -0.313289517 -0.3213095910
## [7832,]  0.299832855  0.2960000367
## [7833,] -0.618278594 -0.6283815596
## [7834,] -0.533384727 -0.5429079188
## [7835,] -0.847806456 -0.8594769587
## [7836,] -1.177949271 -0.9172508084
## [7837,] -1.460928827 -1.2680726184
## [7838,] -0.706316678 -0.7170208907
## [7839,] -1.256554704 -1.2710167104
## [7840,] -0.203241912 -0.7132853761
## [7841,]  0.692860016  0.6917113364
## [7842,] -0.322722169 -0.3308066622
## [7843,]  0.629975670  0.6283975285
## [7844,] -0.234684084 -0.2421673310
## [7845,] -0.784922110 -0.7961631507
## [7846,] -1.256554704 -1.2710167104
## [7847,]  0.626045399  0.6244404155
## [7848,] -0.152148381 -0.1590679581
## [7849,] -0.313289517 -0.3213095910
## [7850,] -0.784922110 -0.7961631507
## [7851,]  0.158343077  0.1535439688
## [7852,] -0.643432332 -0.6537070828
## [7853,]  1.573240857  1.5781046479
## [7854,]  0.001132212 -0.0047405512
## [7855,]  0.881513053  0.8816527603
## [7856,]  0.158343077  0.1535439688
## [7857,] -0.234684084 -0.2421673310
## [7858,] -0.470500381 -0.4795941109
## [7859,] -0.627711246 -0.5496666678
## [7860,] -1.256554704 -1.2148890197
## [7861,]  0.158343077  0.1535439688
## [7862,] -0.234684084 -0.2421673310
## [7863,]  0.001132212 -0.0047405512
## [7864,] -0.784922110 -0.7961631507
## [7865,] -0.470500381 -0.4795941109
## [7866,] -0.863527542 -0.8753054107
## [7867,] -1.335160136 -1.2980358780
## [7868,] -1.728187297 -1.7138018264
## [7869,]  0.648840974  0.6473916709
## [7870,] -0.313289517 -0.3213095910
## [7871,]  0.648840974  0.6473916709
## [7872,] -0.313289517 -0.3213095910
## [7873,] -1.366602309 -1.3312914556
## [7874,]  1.258819128  1.2615356081
## [7875,]  0.073449210  0.0680703280
## [7876,] -0.470500381 -0.4795941109
## [7877,] -0.863527542 -0.8753054107
## [7878,] -0.156078652 -0.1630250711
## [7879,] -0.470500381 -0.4795941109
## [7880,]  0.299832855  0.2960000367
## [7881,] -0.618278594 -0.6283815596
## [7882,] -1.099343839 -1.1127321905
## [7883,]  0.565519216  0.5635008753
## [7884,] -0.324294277 -0.3323895074
## [7885,] -0.234684084 -0.2421673310
## [7886,] -0.627711246 -0.6378786308
## [7887,]  0.079737645  0.0744017088
## [7888,] -0.156078652 -0.1630250711
## [7889,]  0.865791967  0.8658243083
## [7890,]  0.001132212 -0.0047405512
## [7891,]  0.464904263  0.4621987826
## [7892,] -0.250405171 -0.2579957830
## [7893,]  0.472764806  0.4701130086
## [7894,] -0.470500381 -0.4795941109
## [7895,]  0.565519216  0.5635008753
## [7896,] -0.324294277 -0.3323895074
## [7897,]  0.394159374  0.3909707486
## [7898,] -0.077473220 -0.0838828111
## [7899,]  1.337424560  1.3406778681
## [7900,]  0.394159374  0.3909707486
## [7901,] -1.948282507 -1.9466225268
## [7902,]  0.158343077  0.1535439688
## [7903,] -0.942132975 -0.9544476706
## [7904,] -1.335160136 -1.2980358780
## [7905,] -1.806792729 -1.7969486847
## [7906,] -0.077473220 -0.0838828111
## [7907,] -0.549105813 -0.5587363708
## [7908,]  0.236948509  0.2326862287
## [7909,] -0.234684084 -0.2421673310
## [7910,]  0.290400203  0.2865029655
## [7911,] -0.703172461 -0.7138552003
## [7912,] -1.256554704 -1.0147065873
## [7913,] -1.728187297 -1.5994096039
## [7914,]  0.787186535  0.7866820484
## [7915,]  0.158343077  0.1535439688
## [7916,] -1.649581865 -1.6306391397
## [7917,] -1.791071643 -1.7803129817
## [7918,]  0.768321231  0.7676879060
## [7919,] -0.429625556 -0.4384401357
## [7920,] -0.784922110 -0.7961631507
## [7921,] -0.784922110 -0.7159762129
## [7922,] -0.313289517 -0.3213095910
## [7923,] -0.784922110 -0.7961631507
## [7924,] -1.020738407 -0.7223550791
## [7925,] -1.413765568 -1.2096023167
## [7926,] -0.391894949 -0.4004518509
## [7927,] -0.627711246 -0.6378786308
## [7928,]  0.236948509  0.2326862287
## [7929,] -0.407616035 -0.4162803029
## [7930,] -0.030309961 -0.0363974551
## [7931,] -0.674874505 -0.6853639868
## [7932,]  0.001132212 -0.0047405512
## [7933,] -0.784922110 -0.7961631507
## [7934,]  0.158343077  0.1535439688
## [7935,] -0.234684084 -0.2421673310
## [7936,] -0.470500381 -0.4795941109
## [7937,] -0.863527542 -0.8753054107
## [7938,]  0.057728124  0.0522418760
## [7939,] -0.678018722 -0.6885296772
## [7940,] -0.784922110 -0.7961631507
## [7941,] -1.335160136 -1.3501589704
## [7942,] -0.470500381 -0.4795941109
## [7943,] -0.863527542 -0.8753054107
## [7944,] -1.413765568 -1.3811827363
## [7945,] -1.806792729 -1.7969486847
## [7946,]  2.516506044  2.5278117674
## [7947,]  1.400308906  1.4039916760
## [7948,]  2.351434636  2.3616130215
## [7949,]  1.496207534  1.5005452332
## [7950,]  0.284111768  0.2801715847
## [7951,] -0.313289517 -0.3213095910
## [7952,] -0.218962998 -0.2263388790
## [7953,] -0.722037764 -0.7328493427
## [7954,]  0.174064163  0.1693724207
## [7955,] -0.501942554 -0.5112510149
## [7956,]  0.865791967  0.8658243083
## [7957,]  0.535649152  0.5334268165
## [7958,]  0.565519216  0.5635008753
## [7959,] -0.324294277 -0.3323895074
## [7960,]  1.533938141  1.5385335180
## [7961,]  0.350140331  0.3466510830
## [7962,] -1.335160136 -1.2980358780
## [7963,]  0.425601546  0.4226276526
## [7964,] -0.297568430 -0.3054811390
## [7965,]  0.865791967  0.8658243083
## [7966,]  0.535649152  0.5334268165
## [7967,] -0.061752133 -0.0680543591
## [7968,] -0.753479937 -0.7645062467
## [7969,]  0.299832855  0.2960000367
## [7970,] -0.618278594 -0.6283815596
## [7971,]  1.258819128  1.2615356081
## [7972,]  0.724302189  0.7233682404
## [7973,] -0.234684084 -0.2421673310
## [7974,] -0.784922110 -0.7961631507
## [7975,] -1.099343839 -1.1127321905
## [7976,] -1.335160136 -1.3501589704
## [7977,] -0.234684084 -0.2421673310
## [7978,] -0.784922110 -0.7961631507
## [7979,] -1.570976433 -1.4045138745
## [7980,] -1.806792729 -1.6968653828
## [7981,]  0.394159374  0.3909707486
## [7982,] -0.234684084 -0.2421673310
## [7983,] -1.099343839 -1.1127321905
## [7984,]  1.278470486  1.2813211731
## [7985,] -0.175730010 -0.1828106361
## [7986,]  0.688929744  0.6877542234
## [7987,] -0.529454455 -0.5389508058
## [7988,]  1.278470486  1.2813211731
## [7989,] -0.175730010 -0.1828106361
## [7990,]  1.278470486  1.2813211731
## [7991,] -0.175730010 -0.1828106361
## [7992,]  1.278470486  1.2813211731
## [7993,] -0.175730010 -0.1828106361
## [7994,]  0.688929744  0.6877542234
## [7995,] -0.529454455 -0.5389508058
## [7996,]  0.912955226  0.9133096643
## [7997,] -0.360452776 -0.3687949469
## [7998,]  2.359295180  2.3695272475
## [7999,]  0.724302189  0.7233682404
## [8000,]  0.857931424  0.8579100823
## [8001,] -0.121492262 -0.1282024767
## [8002,] -1.640856662 -1.6579432193
## [8003,]  0.565519216  0.5635008753
## [8004,] -0.324294277 -0.3323895074
## [8005,] -1.649581865 -1.6306391397
## [8006,] -1.791071643 -1.7803129817
## [8007,]  0.857931424  0.8579100823
## [8008,] -0.121492262 -0.1282024767
## [8009,]  0.865791967  0.8658243083
## [8010,]  0.551370238  0.5492552685
## [8011,]  0.565519216  0.5635008753
## [8012,] -0.324294277 -0.3323895074
## [8013,]  1.533938141  1.5385335180
## [8014,]  0.350140331  0.3466510830
## [8015,]  0.158343077  0.1535439688
## [8016,] -0.234684084 -0.2421673310
## [8017,]  0.001132212 -0.0047405512
## [8018,] -0.784922110 -0.7961631507
## [8019,] -0.627711246 -0.6378786308
## [8020,] -0.863527542 -0.8753054107
## [8021,]  0.565519216  0.5635008753
## [8022,] -0.324294277 -0.3323895074
## [8023,]  0.865791967  0.8658243083
## [8024,]  0.535649152  0.5334268165
## [8025,]  3.538376663  3.5566611468
## [8026,]  0.648840974  0.6473916709
## [8027,] -0.313289517 -0.3213095910
## [8028,]  1.180213696  1.1823933482
## [8029,]  0.101747166  0.0965615416
## [8030,]  0.299832855  0.2960000367
## [8031,] -0.618278594 -0.6283815596
## [8032,]  0.857931424  0.8579100823
## [8033,] -0.121492262 -0.1282024767
## [8034,] -1.020738407 -0.7223550791
## [8035,] -1.335160136 -1.1121623662
## [8036,]  0.565519216  0.5635008753
## [8037,] -0.324294277 -0.3323895074
## [8038,] -0.145073892 -0.1519451547
## [8039,] -0.882392846 -0.8942995530
## [8040,]  3.145349502  3.1609498470
## [8041,] -0.234684084 -0.2421673310
## [8042,] -0.534422319 -0.5439525967
## [8043,] -1.073152509 -1.0863619895
## [8044,] -0.784922110 -0.7218169117
## [8045,] -1.838234902 -1.8566694341
## [8046,] -1.838234902 -1.8302042624
## [8047,]  0.802907621  0.8025105004
## [8048,] -0.486221468 -0.4954225629
## [8049,]  0.394159374  0.3909707486
## [8050,]  0.001132212 -0.0047405512
## [8051,]  0.072820367  0.0674371899
## [8052,] -0.413149858 -0.4218519180
## [8053,] -0.313289517 -0.3213095910
## [8054,] -0.784922110 -0.7961631507
## [8055,]  0.315553941  0.3118284887
## [8056,] -0.077473220 -0.0838828111
## [8057,] -0.234684084 -0.2421673310
## [8058,] -0.784922110 -0.7961631507
## [8059,]  1.533938141  1.5385335180
## [8060,]  0.350140331  0.3466510830
## [8061,]  0.433462090  0.4305418786
## [8062,] -0.250405171 -0.2579957830
## [8063,]  0.565519216  0.5635008753
## [8064,] -0.324294277 -0.3323895074
## [8065,]  0.670284536  0.6689816794
## [8066,] -0.079768499 -0.0861937651
## [8067,] -0.313289517 -0.3213095910
## [8068,] -0.706316678 -0.7170208907
## [8069,]  0.461838651  0.4591122344
## [8070,] -0.122639901 -0.1293579537
## [8071,]  2.595111476  2.6069540273
## [8072,]  1.180213696  1.1823933482
## [8073,]  1.477342230  1.4815510908
## [8074,]  0.104891383  0.0997272320
## [8075,]  0.881513053  0.8816527603
## [8076,]  0.158343077  0.1535439688
## [8077,] -0.643432332 -0.6537070828
## [8078,] -1.115064926 -1.1285606425
## [8079,]  0.158343077  0.1535439688
## [8080,] -0.643432332 -0.6537070828
## [8081,] -1.020738407 -0.9654326163
## [8082,]  0.512067522  0.5096841386
## [8083,] -0.336871146 -0.3450522690
## [8084,]  0.158343077  0.1535439688
## [8085,] -0.942132975 -0.9544476706
## [8086,] -1.141790772 -1.1554690109
## [8087,] -1.640149213 -1.6572309390
## [8088,] -0.360452776 -0.3687949469
## [8089,] -0.627711246 -0.6378786308
## [8090,]  0.944397399  0.9449665683
## [8091,] -0.218962998 -0.2263388790
## [8092,]  0.315553941  0.3118284887
## [8093,] -0.156078652 -0.1630250711
## [8094,]  1.533938141  1.5385335180
## [8095,]  0.350140331  0.3466510830
## [8096,]  1.180213696  1.1823933482
## [8097,]  0.537221260  0.5350096617
## [8098,] -0.313289517 -0.3213095910
## [8099,] -0.942132975 -0.9544476706
## [8100,] -0.470500381 -0.4795941109
## [8101,] -0.784922110 -0.7961631507
## [8102,] -1.020738407 -1.0335899306
## [8103,] -1.130786012 -1.1443890945
## [8104,]  0.174064163  0.1693724207
## [8105,] -0.627711246 -0.6378786308
## [8106,] -0.218962998 -0.2263388790
## [8107,] -0.722037764 -0.7328493427
## [8108,] -1.649581865 -1.6306391397
## [8109,] -1.791071643 -1.7803129817
## [8110,]  0.865791967  0.8658243083
## [8111,]  0.158343077  0.1535439688
## [8112,]  0.299832855  0.2960000367
## [8113,] -0.618278594 -0.6283815596
## [8114,] -1.570976433 -1.4045138745
## [8115,] -1.728187297 -1.5994096039
## [8116,]  0.158343077  0.1535439688
## [8117,] -0.313289517 -0.3213095910
## [8118,]  1.494635425  1.4989623880
## [8119,]  0.472764806  0.4701130086
## [8120,] -0.234684084 -0.2421673310
## [8121,] -0.784922110 -0.7961631507
## [8122,]  1.101608264  1.1032510882
## [8123,]  0.001132212 -0.0047405512
## [8124,]  0.762661640  0.7619896633
## [8125,] -0.093194306 -0.0997112631
## [8126,]  1.416029993  1.4198201280
## [8127,]  0.315553941  0.3118284887
## [8128,]  0.762661640  0.7619896633
## [8129,] -0.093194306 -0.0997112631
## [8130,]  0.001132212 -0.0047405512
## [8131,] -0.784922110 -0.7961631507
## [8132,] -0.470500381 -0.4795941109
## [8133,] -0.863527542 -0.8753054107
## [8134,] -1.618139692 -1.4629841762
## [8135,] -1.350881222 -1.3659874224
## [8136,] -1.759629470 -1.7470574041
## [8137,]  0.585956628  0.5840778629
## [8138,] -0.531812618 -0.5413250736
## [8139,]  0.001132212 -0.0047405512
## [8140,] -0.360452776 -0.3687949469
## [8141,]  1.966268018  1.9738159477
## [8142,]  0.252669595  0.2485146807
## [8143,]  0.153611030  0.1487796047
## [8144,] -0.172774446 -0.1798348871
## [8145,] -1.162228185 -1.1760459985
## [8146,]  0.263674356  0.2595945971
## [8147,] -0.486221468 -0.4954225629
## [8148,] -0.313289517 -0.3213095910
## [8149,] -0.784922110 -0.7961631507
## [8150,] -1.036459493 -0.7418399035
## [8151,] -1.177949271 -0.9172508084
## [8152,] -1.099343839 -1.1127321905
## [8153,] -1.531673716 -1.5480146203
## [8154,]  1.353145647  1.3565063201
## [8155,]  0.504206979  0.5017699126
## [8156,]  0.472764806  0.4701130086
## [8157,] -0.156078652 -0.1630250711
## [8158,]  1.180213696  1.1823933482
## [8159,]  0.101747166  0.0965615416
## [8160,] -0.234684084 -0.2421673310
## [8161,] -0.784922110 -0.7961631507
## [8162,]  0.857931424  0.8579100823
## [8163,] -0.121492262 -0.1282024767
## [8164,]  1.416029993  1.4198201280
## [8165,] -0.385543630 -0.3940571563
## [8166,]  2.359295180  2.3695272475
## [8167,] -0.313289517 -0.3213095910
## [8168,]  0.708581102  0.7075397884
## [8169,]  0.394159374  0.3909707486
## [8170,]  0.079737645  0.0744017088
## [8171,] -0.627711246 -0.6378786308
## [8172,] -0.423337122 -0.4321087549
## [8173,] -0.906760530 -0.9188336536
## [8174,]  0.315553941  0.3118284887
## [8175,]  0.001132212 -0.0047405512
## [8176,]  0.472764806  0.4701130086
## [8177,] -0.784922110 -0.7961631507
## [8178,] -0.832085369 -0.8436485067
## [8179,] -0.942132975 -0.9544476706
## [8180,]  0.787186535  0.7866820484
## [8181,]  0.158343077  0.1535439688
## [8182,]  0.944397399  0.9449665683
## [8183,]  0.472764806  0.4701130086
## [8184,]  1.730451722  1.7363891678
## [8185,]  0.472764806  0.4701130086
## [8186,]  0.944397399  0.9449665683
## [8187,]  0.111179817  0.1060586128
## [8188,]  0.472764806  0.4701130086
## [8189,] -0.784922110 -0.7961631507
## [8190,] -1.099343839 -1.1127321905
## [8191,] -1.531673716 -1.5480146203
## [8192,] -0.344731690 -0.3529664950
## [8193,] -1.075762209 -1.0889895125
## [8194,] -0.706316678 -0.7170208907
## [8195,] -1.256554704 -1.2710167104
## [8196,]  0.394159374  0.3909707486
## [8197,] -0.431197665 -0.4400229809
## [8198,]  0.331275028  0.3276569407
## [8199,] -0.517663640 -0.5270794669
## [8200,]  0.831205577  0.8310017140
## [8201,] -0.717321438 -0.7281008071
## [8202,] -1.602418605 -1.5807478590
## [8203,] -1.806792729 -1.7969486847
## [8204,]  0.740023275  0.7391966924
## [8205,] -0.800643197 -0.8119916027
## [8206,]  0.158343077  0.1535439688
## [8207,] -0.627711246 -0.6378786308
## [8208,]  0.565519216  0.5635008753
## [8209,] -0.324294277 -0.3323895074
## [8210,] -1.885398161 -1.9041547901
## [8211,] -1.130786012 -1.1443890945
## [8212,] -1.602418605 -1.6192426542
## [8213,]  0.315553941  0.3118284887
## [8214,] -0.313289517 -0.3213095910
## [8215,]  0.001132212 -0.0047405512
## [8216,] -0.863527542 -0.8753054107
## [8217,] -1.130786012 -1.1443890945
## [8218,] -1.696745124 -1.7142133662
## [8219,]  3.076176722  3.0913046583
## [8220,]  1.265107563  1.2678669889
## [8221,] -0.077473220 -0.0838828111
## [8222,] -0.549105813 -0.5587363708
## [8223,] -1.130786012 -1.1443890945
## [8224,] -1.602418605 -1.6192426542
## [8225,]  0.409094406  0.4060077780
## [8226,] -0.312503462 -0.3205181684
## [8227,]  0.875224619  0.8753213795
## [8228,] -0.695311917 -0.7059409744
## [8229,]  1.362578299  1.3660033913
## [8230,] -0.954709844 -0.9671104322
## [8231,] -1.036459493 -1.0494183826
## [8232,] -1.508092087 -1.5242719423
## [8233,] -1.099343839 -1.1127321905
## [8234,]  0.787186535  0.7866820484
## [8235,] -0.847806456 -1.2117866431
## [8236,]  0.236948509  0.2326862287
## [8237,] -1.932561421 -1.8527756349
## [8238,]  0.565519216  0.5635008753
## [8239,] -0.324294277 -0.3323895074
## [8240,]  0.299832855  0.2960000367
## [8241,] -0.618278594 -0.6283815596
## [8242,] -0.784922110 -1.1910830279
## [8243,]  1.180213696  1.1823933482
## [8244,]  0.537221260  0.5350096617
## [8245,]  0.565519216  0.5635008753
## [8246,] -0.324294277 -0.3323895074
## [8247,]  1.180213696  1.1823933482
## [8248,]  0.101747166  0.0965615416
## [8249,]  0.565519216  0.5635008753
## [8250,] -0.324294277 -0.3323895074
## [8251,] -0.659153419 -0.6695355348
## [8252,]  0.079737645  0.0744017088
## [8253,] -1.759629470 -1.7775271741
## [8254,] -1.020738407 -1.0335899306
## [8255,] -1.335160136 -1.3501589704
## [8256,]  0.079737645  0.0744017088
## [8257,] -1.759629470 -1.7775271741
## [8258,] -0.942132975 -0.6248993002
## [8259,] -1.177949271 -0.9172508084
## [8260,]  0.057728124  0.0522418760
## [8261,] -0.678018722 -0.6885296772
## [8262,]  0.551370238  0.5492552685
## [8263,] -1.570976433 -1.5875857502
## [8264,]  0.565519216  0.5635008753
## [8265,] -0.324294277 -0.3323895074
## [8266,]  0.079737645  0.0744017088
## [8267,] -1.759629470 -1.7775271741
## [8268,]  0.284111768  0.2801715847
## [8269,] -0.313289517 -0.3213095910
## [8270,] -0.417048687 -0.4257773741
## [8271,] -0.972003039 -0.9845217294
## [8272,] -0.470500381 -0.4795941109
## [8273,] -1.492371000 -1.5084434903
## [8274,]  0.565519216  0.5635008753
## [8275,] -0.324294277 -0.3323895074
## [8276,]  0.648840974  0.6473916709
## [8277,] -0.313289517 -0.3213095910
## [8278,]  0.299832855  0.2960000367
## [8279,] -0.618278594 -0.6283815596
## [8280,]  0.001132212 -0.0047405512
## [8281,] -0.470500381 -0.4795941109
## [8282,] -0.171799739 -0.1788535231
## [8283,] -0.439058208 -0.4479372069
## [8284,]  0.565519216  0.5635008753
## [8285,] -0.324294277 -0.3323895074
## [8286,] -0.162367087 -0.1693564519
## [8287,] -1.009733646 -1.0225100142
## [8288,]  0.551370238  0.5492552685
## [8289,] -1.570976433 -1.5875857502
## [8290,]  0.565519216  0.5635008753
## [8291,] -0.324294277 -0.3323895074
## [8292,]  1.180213696  1.1823933482
## [8293,]  0.101747166  0.0965615416
## [8294,]  0.787186535  0.7866820484
## [8295,]  0.394159374  0.3909707486
## [8296,]  0.565519216  0.5635008753
## [8297,] -0.324294277 -0.3323895074
## [8298,] -0.022449417 -0.0284832291
## [8299,] -0.813220066 -0.8246543643
## [8300,] -0.549105813 -0.5587363708
## [8301,] -0.863527542 -0.8753054107
## [8302,]  1.180213696  1.1823933482
## [8303,] -1.319439049 -1.3343305184
## [8304,]  0.551370238  0.5492552685
## [8305,] -1.570976433 -1.5875857502
## [8306,] -1.649581865 -1.6306391397
## [8307,] -1.791071643 -1.7803129817
## [8308,] -0.250405171 -0.2579957830
## [8309,] -0.816364283 -0.8278200547
## [8310,] -0.706316678 -0.7170208907
## [8311,] -1.382323395 -1.3976443264
## [8312,] -1.460928827 -1.4767865863
## [8313,]  0.944397399  0.1742950693
## [8314,] -0.090050089 -0.0965455727
## [8315,] -0.543446222 -0.5530381281
## [8316,] -0.470500381 -1.0625401693
## [8317,] -1.256554704 -1.2148890197
## [8318,] -1.728187297 -1.7138018264
## [8319,]  0.315553941  0.3118284887
## [8320,]  0.001132212 -0.0047405512
## [8321,]  0.472764806  0.4701130086
## [8322,]  0.158343077  0.1535439688
## [8323,] -0.659153419 -0.6695355348
## [8324,]  0.787186535  0.7866820484
## [8325,]  0.001132212 -0.0047405512
## [8326,]  0.221227423 -0.3850032818
## [8327,]  0.609538258  0.6078205409
## [8328,]  0.164552906  0.1597962073
## [8329,] -0.534422319 -0.5439525967
## [8330,] -1.073152509 -1.0863619895
## [8331,]  2.359295180  2.3695272475
## [8332,]  1.180213696  1.1823933482
## [8333,]  0.762661640  0.7619896633
## [8334,] -0.093194306 -0.0997112631
## [8335,]  0.653164273  0.6517444952
## [8336,] -0.132103995 -0.1388866818
## [8337,] -1.602418605 -1.5807478590
## [8338,] -1.806792729 -1.7969486847
## [8339,] -1.225112531 -1.1816176136
## [8340,]  0.109104634  0.1039692571
## [8341,]  0.787186535  0.7866820484
## [8342,]  0.762661640  0.7619896633
## [8343,] -0.093194306 -0.0997112631
## [8344,] -1.319439049 -1.2814001749
## [8345,] -0.942132975 -0.9544476706
## [8346,] -0.470500381 -0.3833571228
## [8347,] -1.099343839 -1.0485794746
## [8348,]  0.787186535  0.7866820484
## [8349,]  0.472764806  0.4701130086
## [8350,] -0.659153419 -0.6695355348
## [8351,] -1.020738407 -1.0335899306
## [8352,]  0.944397399  0.9449665683
## [8353,]  0.472764806  0.4701130086
## [8354,]  0.236948509  0.2326862287
## [8355,] -0.281847344 -0.2896526870
## [8356,] -0.313289517 -0.3213095910
## [8357,] -0.627711246 -0.6378786308
## [8358,] -1.335160136 -1.6659365876
## [8359,] -1.476649914 -1.7137701695
## [8360,] -0.234684084 -0.2421673310
## [8361,]  0.453899502  0.4511188662
## [8362,] -0.280275235 -0.2880698418
## [8363,] -2.042609026 -2.0624393100
## [8364,] -0.156078652 -0.1630250711
## [8365,] -0.627711246 -0.6378786308
## [8366,]  0.158343077  0.1535439688
## [8367,] -1.020738407 -1.0335899306
## [8368,]  1.573240857  1.5781046479
## [8369,] -1.366602309 -1.3818158744
## [8370,]  0.585956628  0.5840778629
## [8371,] -0.531812618 -0.5413250736
## [8372,]  0.787186535  0.7866820484
## [8373,] -0.077473220 -0.0838828111
## [8374,]  1.258787686  1.2615039512
## [8375,]  0.072584550  0.0671997631
## [8376,]  1.023002831  1.0241088283
## [8377,]  0.142621990  0.1377155168
## [8378,]  1.258787686  1.2615039512
## [8379,]  0.072584550  0.0671997631
## [8380,] -1.570976433 -1.5875857502
## [8381,]  0.519928065  0.5175983645
## [8382,] -0.788852382 -0.8001202637
## [8383,] -1.281708442 -1.2963422336
## [8384,]  1.367294625  1.3707519269
## [8385,]  0.145766208  0.1408812072
## [8386,]  1.466730496  1.4708668857
## [8387,]  0.469227561  0.4665516069
## [8388,]  0.394159374  0.3909707486
## [8389,]  0.001132212 -0.0047405512
## [8390,]  0.944397399  0.9449665683
## [8391,]  0.472764806  0.4701130086
## [8392,] -0.030309961 -0.0363974551
## [8393,] -0.344731690 -0.3529664950
## [8394,]  0.629975670  0.6283975285
## [8395,] -0.234684084 -0.2421673310
## [8396,] -0.313289517 -0.3213095910
## [8397,] -0.627711246 -0.6378786308
## [8398,]  0.653164273  0.6517444952
## [8399,] -0.132103995 -0.1388866818
## [8400,]  0.158343077  0.1535439688
## [8401,] -1.020738407 -1.0335899306
## [8402,]  1.070166091  1.0715941842
## [8403,] -0.072756894 -0.0791342755
## [8404,]  0.714869537  0.7138711692
## [8405,] -0.292852104 -0.3007326034
## [8406,] -0.706316678 -0.7170208907
## [8407,]  0.653164273  0.6517444952
## [8408,] -0.132103995 -0.1388866818
## [8409,]  0.897234140  0.8974812123
## [8410,]  0.048295472  0.0427448048
## [8411,]  0.653164273  0.6517444952
## [8412,] -0.132103995 -0.1388866818
## [8413,] -0.627711246 -0.6378786308
## [8414,] -0.800643197 -0.8119916027
## [8415,]  0.653164273  0.6517444952
## [8416,] -0.132103995 -0.1388866818
## [8417,]  0.653164273  0.6517444952
## [8418,] -0.132103995 -0.1388866818
## [8419,]  0.653164273  0.6517444952
## [8420,] -0.132103995 -0.1388866818
## [8421,]  0.787186535  0.7866820484
## [8422,] -0.234684084 -0.2421673310
## [8423,]  0.897234140  0.8974812123
## [8424,]  0.048295472  0.0427448048
## [8425,]  0.653164273  0.6517444952
## [8426,] -0.132103995 -0.1388866818
## [8427,]  0.653164273  0.6517444952
## [8428,] -0.132103995 -0.1388866818
## [8429,]  0.653164273  0.6517444952
## [8430,] -0.132103995 -0.1388866818
## [8431,]  0.719585863  0.7186197048
## [8432,] -0.305428973 -0.3133953650
## [8433,] -0.313289517 -0.3213095910
## [8434,] -1.036459493 -1.0494183826
## [8435,] -0.784922110 -0.7961631507
## [8436,] -1.413765568 -1.4293012303
## [8437,] -1.335160136 -1.1121623662
## [8438,] -1.492371000 -1.3070580956
## [8439,] -0.135641240 -0.1424480835
## [8440,] -0.751907829 -0.7629234015
## [8441,] -1.602418605 -1.5807478590
## [8442,] -1.806792729 -1.7969486847
## [8443,]  0.001132212 -0.0047405512
## [8444,] -1.052180580 -0.7613405563
## [8445,] -0.093194306 -0.0997112631
## [8446,] -0.580547986 -0.5903932748
## [8447,] -1.885398161 -1.8800955430
## [8448,]  0.714869537  0.7138711692
## [8449,] -0.292852104 -0.3007326034
## [8450,]  0.714869537  0.7138711692
## [8451,] -0.292852104 -0.3007326034
## [8452,]  0.714869537  0.7138711692
## [8453,] -0.292852104 -0.3007326034
## [8454,]  0.629975670  0.6283975285
## [8455,] -0.234684084 -0.2421673310
## [8456,] -0.234684084 -0.2421673310
## [8457,] -1.099343839 -1.1127321905
## [8458,]  0.158343077  0.1535439688
## [8459,] -1.020738407 -1.0335899306
## [8460,]  0.453899502  0.4511188662
## [8461,] -0.280275235 -0.2880698418
## [8462,] -1.413765568 -1.4293012303
## [8463,] -1.413765568 -1.3811827363
## [8464,] -1.570976433 -1.5875857502
## [8465,] -0.156078652 -0.1630250711
## [8466,] -0.706316678 -0.7170208907
## [8467,] -1.335160136 -1.1121623662
## [8468,] -1.492371000 -1.3070580956
## [8469,]  0.629975670  0.6283975285
## [8470,] -0.156078652 -0.1630250711
## [8471,] -0.784922110 -0.7961631507
## [8472,] -1.413765568 -1.4293012303
## [8473,]  0.472764806  0.4701130086
## [8474,]  0.236948509  0.2326862287
## [8475,] -0.659153419 -0.6695355348
## [8476,] -2.042609026 -2.0624393100
## [8477,]  0.629975670  0.6283975285
## [8478,] -0.234684084 -0.2421673310
## [8479,]  0.463332154  0.4606159374
## [8480,]  0.064016558  0.0585732568
## [8481,]  0.691287907  0.6901284912
## [8482,] -0.324294277 -0.3323895074
## [8483,]  1.143111932  1.1450382015
## [8484,]  0.506722352  0.5043024649
## [8485,]  0.001132212 -0.0047405512
## [8486,] -0.784922110 -0.7961631507
## [8487,] -0.431197665 -0.4400229809
## [8488,] -0.784922110 -0.7961631507
## [8489,]  2.319992463  2.3299561175
## [8490,]  1.730451722  1.7363891678
## [8491,] -2.121214458 -2.1415815699
## [8492,]  0.677138930  0.6758828845
## [8493,] -0.894969715 -0.9069623146
## [8494,] -1.209391444 -1.2235313545
## [8495,] -0.784922110 -0.7961631507
## [8496,] -1.413765568 -1.4293012303
## [8497,] -0.203336238 -0.2106053977
## [8498,] -0.760240004 -0.7713124811
## [8499,]  1.573240857  1.5781046479
## [8500,] -1.366602309 -1.3818158744
## [8501,] -0.250405171 -0.2579957830
## [8502,] -0.816364283 -0.8278200547
## [8503,]  0.653164273  0.6517444952
## [8504,] -0.132103995 -0.1388866818
## [8505,] -1.492371000 -1.4643454230
## [8506,] -0.218962998 -0.2263388790
## [8507,] -0.596269073 -0.6062217268
## [8508,]  0.346996114  0.3434853926
## [8509,] -0.156078652 -0.1630250711
## [8510,]  1.023002831  1.0241088283
## [8511,]  0.221227423  0.2168577767
## [8512,]  2.359295180  2.3695272475
## [8513,] -0.313289517 -0.3213095910
## [8514,]  1.573240857  1.5781046479
## [8515,] -1.366602309 -1.3818158744
## [8516,]  0.472764806  0.4701130086
## [8517,]  0.001132212 -0.0047405512
## [8518,] -1.838234902 -1.6605549139
## [8519,]  1.573240857  1.5781046479
## [8520,] -1.366602309 -1.3818158744
## [8521,]  0.653164273  0.6517444952
## [8522,] -0.132103995 -0.1388866818
## [8523,] -0.824224826 -0.8357342807
## [8524,]  0.988416441  0.9892862339
## [8525,] -0.112059610 -0.1187054055
## [8526,] -1.256554704 -1.2148890197
## [8527,] -1.570976433 -1.5875857502
## [8528,]  0.029430168  0.0237506624
## [8529,] -0.309516456 -0.3175107625
## [8530,]  0.236948509  0.2326862287
## [8531,] -0.152148381 -0.1590679581
## [8532,] -0.234684084 -0.2421673310
## [8533,] -0.549105813 -0.5587363708
## [8534,]  0.463332154  0.4606159374
## [8535,]  0.064016558  0.0585732568
## [8536,]  0.653164273  0.6517444952
## [8537,] -0.132103995 -0.1388866818
## [8538,]  0.653164273  0.6517444952
## [8539,] -0.132103995 -0.1388866818
## [8540,]  0.653164273  0.6517444952
## [8541,] -0.132103995 -0.1388866818
## [8542,] -1.177949271 -1.1918744505
## [8543,] -1.099343839 -1.0485794746
## [8544,] -1.256554704 -1.2148890197
## [8545,] -1.099343839 -0.8198108580
## [8546,] -1.256554704 -1.0147065873
## [8547,] -1.099343839 -1.0485794746
## [8548,] -1.256554704 -1.2148890197
## [8549,]  0.653164273  0.6517444952
## [8550,] -0.132103995 -0.1388866818
## [8551,]  0.653164273  0.6517444952
## [8552,] -0.132103995 -0.1388866818
## [8553,] -1.046269451 -0.7540119830
## [8554,] -1.335097251 -1.1120832240
## [8555,]  0.653164273  0.6517444952
## [8556,] -0.132103995 -0.1388866818
## [8557,] -1.021398692 -0.7231781586
## [8558,] -1.306516316 -1.0766433200
## [8559,]  0.653164273  0.6517444952
## [8560,] -0.132103995 -0.1388866818
## [8561,]  0.653164273  0.6517444952
## [8562,] -0.132103995 -0.1388866818
## [8563,] -0.549105813 -0.5587363708
## [8564,] -1.885398161 -1.8800955430
## [8565,] -1.083622753 -1.0969037385
## [8566,] -1.319439049 -1.3343305184
## [8567,] -1.633860778 -1.6508995582
## [8568,] -1.099343839 -1.1127321905
## [8569,]  0.787186535  0.7866820484
## [8570,]  0.472764806  0.4701130086
## [8571,]  0.787186535  0.7866820484
## [8572,]  0.851642989  0.8515787016
## [8573,] -0.217390889 -0.2247560338
## [8574,]  1.573240857  1.5781046479
## [8575,] -1.366602309 -1.3818158744
## [8576,] -0.847806456 -0.5079586968
## [8577,] -0.942132975 -0.6248993002
## [8578,] -0.470500381 -2.0771122850
## [8579,]  0.653164273  0.6517444952
## [8580,] -0.132103995 -0.1388866818
## [8581,]  0.653164273  0.6517444952
## [8582,] -0.132103995 -0.1388866818
## [8583,]  0.653164273  0.6517444952
## [8584,] -0.132103995 -0.1388866818
## [8585,] -0.863527542 -0.8753054107
## [8586,] -1.256554704 -1.2710167104
## [8587,] -1.177949271 -1.1918744505
## [8588,] -0.580547986 -0.5903932748
## [8589,]  0.315553941  0.3118284887
## [8590,] -0.313289517 -0.3213095910
## [8591,] -0.580547986 -0.5903932748
## [8592,] -0.156078652 -0.1630250711
## [8593,] -1.570976433 -1.5875857502
## [8594,] -1.146507098 -1.5342755239
## [8595,]  0.394159374  0.3909707486
## [8596,] -0.156078652 -0.1630250711
## [8597,] -1.908979791 -1.9050411834
## [8598,]  1.573240857  1.5781046479
## [8599,] -1.366602309 -1.3818158744
## [8600,]  0.158343077  0.1535439688
## [8601,] -0.481505142 -0.4906740273
## [8602,] -0.077473220 -0.0838828111
## [8603,] -0.706316678 -0.7170208907
## [8604,] -0.942132975 -0.9544476706
## [8605,] -0.058607916 -0.0648886687
## [8606,] -0.403371342 -0.4120066209
## [8607,]  1.180213696  1.1823933482
## [8608,]  0.158343077  0.1535439688
## [8609,] -1.539534260 -1.5142367037
## [8610,]  0.563947107  0.5619180301
## [8611,] -0.196953477 -0.2041790462
## [8612,]  1.494635425  1.4989623880
## [8613,]  0.472764806  0.4701130086
## [8614,]  0.842210337  0.8420816304
## [8615,]  0.032574385  0.0269163528
## [8616,]  1.573240857  1.5781046479
## [8617,] -1.366602309 -1.3818158744
## [8618,]  0.567091324  0.5650837205
## [8619,] -0.017733091 -0.0237346935
## [8620,] -0.722037764 -0.3520484447
## [8621,] -1.067901666 -1.0810752865
## [8622,] -0.627711246 -0.6378786308
## [8623,]  0.362717201  0.3593138446
## [8624,]  0.842210337  0.8420816304
## [8625,]  0.032574385  0.0269163528
## [8626,]  0.567091324  0.5650837205
## [8627,] -0.017733091 -0.0237346935
## [8628,]  0.126900904  0.1218870648
## [8629,] -0.250405171 -0.2579957830
## [8630,]  0.315553941  0.3118284887
## [8631,] -0.470500381 -0.4795941109
## [8632,]  0.787186535  0.7866820484
## [8633,]  0.001132212 -0.0047405512
## [8634,]  1.041868135  1.0431029706
## [8635,] -0.091622198 -0.0981284179
## [8636,] -0.627711246 -0.5496666678
## [8637,] -1.020738407 -0.9654326163
## [8638,]  1.573240857  1.5781046479
## [8639,] -1.366602309 -1.3818158744
## [8640,] -0.234684084 -0.2421673310
## [8641,] -1.020738407 -1.0335899306
## [8642,] -0.234684084 -0.2421673310
## [8643,] -1.020738407 -1.0335899306
## [8644,]  0.881513053  0.8816527603
## [8645,]  0.395731482  0.3925535938
## [8646,]  0.624473290  0.6228575703
## [8647,]  0.236885625  0.2326229149
## [8648,] -0.013960031 -0.0199358651
## [8649,] -0.566399008 -0.5761476680
## [8650,]  0.064016558  0.0585732568
## [8651,] -0.376173862 -0.3846233989
## [8652,]  0.787186535  0.7866820484
## [8653,]  0.001132212 -0.0047405512
## [8654,]  0.719585863  0.7186197048
## [8655,] -0.305428973 -0.3133953650
## [8656,]  0.315553941  0.3118284887
## [8657,] -0.234684084 -0.2421673310
## [8658,] -1.099343839 -0.8198108580
## [8659,] -1.413765568 -1.2096023167
## [8660,] -0.517663640 -0.5270794669
## [8661,] -0.793568708 -0.8048687993
## [8662,]  0.787186535  0.7866820484
## [8663,] -0.234684084 -0.2421673310
## [8664,]  0.691287907  0.6901284912
## [8665,] -0.324294277 -0.3323895074
## [8666,] -1.649581865 -1.5019538250
## [8667,] -1.256554704 -1.0147065873
## [8668,] -1.570976433 -1.4045138745
## [8669,]  0.394159374  0.3909707486
## [8670,] -0.313289517 -0.3213095910
## [8671,]  0.600105606  0.5983234697
## [8672,] -0.158279604 -0.1652410543
## [8673,]  1.552803445  1.5575276603
## [8674,]  0.269962791  0.2659259779
## [8675,] -0.417048687 -0.4257773741
## [8676,] -0.972003039 -0.9845217294
## [8677,] -1.602418605 -1.5807478590
## [8678,]  1.494635425  1.4989623880
## [8679,]  0.865791967  0.8658243083
## [8680,] -0.135641240 -0.1424480835
## [8681,] -0.751907829 -0.7629234015
## [8682,] -0.135641240 -0.1424480835
## [8683,] -0.751907829 -0.7629234015
## [8684,] -1.570976433 -1.5875857502
## [8685,] -1.099343839 -1.0485794746
## [8686,] -1.570976433 -1.4045138745
## [8687,]  1.573240857  1.5781046479
## [8688,] -1.366602309 -1.3818158744
## [8689,]  0.622115127  0.6204833025
## [8690,] -0.154506544 -0.1614422259
## [8691,]  0.435034198  0.4321247238
## [8692,] -0.292852104 -0.3007326034
## [8693,] -1.979724680 -1.9991255020
## [8694,] -1.979724680 -1.9991255020
## [8695,]  1.573240857  1.5781046479
## [8696,] -1.366602309 -1.3818158744
## [8697,]  0.832777685  0.8325845592
## [8698,] -0.292852104 -0.3007326034
## [8699,] -0.077473220 -0.0838828111
## [8700,] -0.549105813 -0.5587363708
## [8701,] -0.549105813 -0.5587363708
## [8702,]  0.691287907  0.6901284912
## [8703,] -0.324294277 -0.3323895074
## [8704,]  0.472764806  0.4701130086
## [8705,] -0.156078652 -0.1630250711
## [8706,]  1.041868135  1.0431029706
## [8707,] -0.091622198 -0.0981284179
## [8708,]  1.038723918  1.0399372802
## [8709,] -0.093194306 -0.0997112631
## [8710,]  0.001132212 -0.0047405512
## [8711,] -1.570976433 -1.5875857502
## [8712,]  1.573240857  1.5781046479
## [8713,] -1.099343839 -1.0485794746
## [8714,] -0.674874505 -0.2935781431
## [8715,] -1.602418605 -1.6192426542
## [8716,]  1.738312265  1.7443033938
## [8717,]  0.395731482  0.3925535938
## [8718,]  0.944397399  0.9449665683
## [8719,] -0.784922110 -0.7961631507
## [8720,] -1.492371000 -1.5084434903
## [8721,] -0.313289517 -0.3213095910
## [8722,] -1.203103010 -1.1583339607
## [8723,] -1.578836976 -1.5558022186
## [8724,]  0.892502093  0.8927168483
## [8725,] -0.799071088 -0.8104087575
## [8726,]  0.787186535  0.7866820484
## [8727,] -1.508092087 -1.5242719423
## [8728,]  1.573240857  1.5781046479
## [8729,] -1.366602309 -1.3818158744
## [8730,]  1.573240857  1.5781046479
## [8731,] -1.366602309 -1.3818158744
## [8732,]  1.573240857  1.5781046479
## [8733,] -1.366602309 -1.3818158744
## [8734,] -0.313289517 -0.3213095910
## [8735,] -0.784922110 -0.7961631507
## [8736,] -1.099343839 -1.1127321905
## [8737,]  0.158343077  0.1535439688
## [8738,] -0.784922110 -0.7961631507
## [8739,]  1.122045676  1.1238280758
## [8740,] -0.019305200 -0.0253175387
## [8741,] -1.885398161 -1.9041547901
## [8742,] -1.932561421 -1.9299868237
## [8743,] -1.193670358 -0.9367514613
## [8744,] -1.570976433 -1.4045138745
## [8745,] -1.445207741 -1.4144541424
## [8746,]  1.561607253  1.5663915935
## [8747,]  0.557658673  0.5555866493
## [8748,]  0.315553941  0.3118284887
## [8749,] -0.313289517 -0.3213095910
## [8750,] -1.335160136 -1.1121623662
## [8751,] -0.330975739 -0.3391165995
## [8752,] -0.883964955 -0.8958823982
## [8753,]  0.472764806  0.4701130086
## [8754,] -0.784922110 -0.7961631507
## [8755,] -0.214875515 -0.2222234815
## [8756,] -0.639030428 -0.6492751162
## [8757,]  0.158343077  0.1535439688
## [8758,] -0.910690802 -0.9227907666
## [8759,]  0.787186535  0.7866820484
## [8760,]  0.158343077  0.1535439688
## [8761,] -0.627711246 -0.2351078414
## [8762,] -1.020738407 -0.7223550791
## [8763,] -0.517663640 -0.5270794669
## [8764,] -0.793568708 -0.8048687993
## [8765,] -0.329010603 -0.3371380430
## [8766,] -1.005017320 -1.0177614786
## [8767,]  0.158343077  0.1535439688
## [8768,] -0.481505142 -0.4906740273
## [8769,] -0.784922110 -0.7961631507
## [8770,] -1.964003594 -1.9832970500
## [8771,] -0.942132975 -1.3460910582
## [8772,]  0.787186535  0.7866820484
## [8773,]  0.472764806  0.4701130086
## [8774,]  0.048295472  0.0427448048
## [8775,]  0.944397399  0.9449665683
## [8776,] -0.784922110 -0.7961631507
## [8777,]  0.002311294 -0.0035534173
## [8778,] -0.613169241 -0.6232373127
## [8779,] -1.998589984 -2.0181196444
## [8780,]  0.158343077  0.1535439688
## [8781,] -0.910690802 -0.9227907666
## [8782,]  0.832777685  0.8325845592
## [8783,] -0.292852104 -0.3007326034
## [8784,] -2.042609026 -2.0179771883
## [8785,] -2.121214458 -2.1415815699
## [8786,]  0.394159374  0.3909707486
## [8787,] -0.234684084 -0.2421673310
## [8788,]  0.677138930 -0.2616996408
## [8789,] -1.052180580 -1.0652468345
## [8790,] -1.177949271 -0.9172508084
## [8791,] -1.492371000 -1.3070580956
## [8792,]  0.567091324  0.5650837205
## [8793,] -0.017733091 -0.0237346935
## [8794,] -0.582120095 -0.5919761200
## [8795,] -0.937102227 -0.9493825660
## [8796,]  1.416029993  1.4198201280
## [8797,]  0.158343077  0.1535439688
## [8798,]  2.359295180  2.3695272475
## [8799,]  0.787186535  0.7866820484
## [8800,] -1.374462852 -1.3396172214
## [8801,]  0.787186535  0.7866820484
## [8802,] -0.863527542 -0.5274593497
## [8803,] -1.177949271 -0.9172508084
## [8804,] -0.470500381 -0.4795941109
## [8805,] -0.582120095 -0.5919761200
## [8806,] -0.937102227 -0.9493825660
## [8807,] -0.077473220 -0.0838828111
## [8808,] -0.700028243 -0.7106895099
## [8809,] -1.677879820 -1.5991721771
## [8810,] -0.942132975 -0.6248993002
## [8811,] -1.177949271 -0.9172508084
## [8812,]  1.027719157  1.0288573639
## [8813,]  0.130045121  0.1250527552
## [8814,]  0.930248421  0.9307209615
## [8815,]  0.073449210  0.0680703280
## [8816,] -0.534422319 -0.5439525967
## [8817,] -1.073152509 -1.0863619895
## [8818,]  0.394159374  0.3909707486
## [8819,]  0.079737645  0.0744017088
## [8820,] -1.099343839 -1.0485794746
## [8821,]  0.221227423  0.2168577767
## [8822,] -0.281847344 -0.2896526870
## [8823,]  0.315553941  0.3118284887
## [8824,] -0.423337122 -0.4321087549
## [8825,]  0.624473290  0.6228575703
## [8826,]  0.236885625  0.2326229149
## [8827,] -1.570976433 -1.5474922814
## [8828,] -1.570976433 -1.5474922814
## [8829,]  0.001132212 -0.5552224545
## [8830,]  0.243236944  0.2390176095
## [8831,] -0.276816596 -0.2845875824
## [8832,]  0.925139068  0.9255767146
## [8833,] -0.033454178 -0.0395631455
## [8834,] -0.203336238 -0.2106053977
## [8835,] -0.760240004 -0.7713124811
## [8836,] -0.330975739 -0.3391165995
## [8837,] -0.883964955 -0.8958823982
## [8838,] -1.908979791 -1.8235404841
## [8839,]  0.529360717  0.5270954357
## [8840,] -0.772345241 -0.7835003891
## [8841,] -1.728187297 -1.5994096039
## [8842,] -1.885398161 -1.7943053332
## [8843,] -1.728187297 -1.7138018264
## [8844,] -1.885398161 -1.8800955430
## [8845,] -1.099343839 -1.0485794746
## [8846,] -1.256554704 -1.2148890197
## [8847,] -1.099343839 -0.8198108580
## [8848,] -1.256554704 -1.0147065873
## [8849,] -1.099343839 -1.0485794746
## [8850,] -1.256554704 -1.2148890197
## [8851,]  0.624473290  0.6228575703
## [8852,]  0.236885625  0.2326229149
## [8853,] -1.728187297 -1.7138018264
## [8854,] -1.885398161 -1.8800955430
## [8855,] -1.177949271 -0.9172508084
## [8856,] -1.413765568 -1.2096023167
## [8857,]  1.027719157  1.0288573639
## [8858,] -0.149790218 -0.1566936903
## [8859,] -1.413765568 -1.3811827363
## [8860,] -1.649581865 -1.6306391397
## [8861,]  1.730451722  1.7363891678
## [8862,]  0.472764806  0.4701130086
## [8863,] -1.492371000 -1.3070580956
## [8864,] -1.806792729 -1.6968653828
## [8865,] -1.413765568 -1.3811827363
## [8866,] -1.649581865 -1.6306391397
## [8867,] -1.413765568 -1.2096023167
## [8868,] -1.649581865 -1.5019538250
## [8869,] -1.677879820 -1.5707442773
## [8870,] -1.413765568 -1.4293012303
## [8871,] -1.053752688 -1.0668296797
## [8872,] -1.352453331 -1.3675702676
## [8873,]  0.158343077  0.1535439688
## [8874,] -0.591552747 -0.6014731912
## [8875,]  1.431751079  1.4356485800
## [8876,]  0.142621990  0.1377155168
## [8877,]  0.472764806  0.4701130086
## [8878,] -1.099343839 -1.1127321905
## [8879,] -1.445207741 -1.4609581343
## [8880,] -1.445207741 -1.4609581343
## [8881,] -0.218962998 -0.2263388790
## [8882,] -0.646576549 -0.6568727732
## [8883,]  1.447472166  1.4514770320
## [8884,]  0.787186535  0.7866820484
## [8885,] -1.570976433 -1.4045138745
## [8886,] -1.885398161 -1.7943053332
## [8887,] -1.413765568 -1.2096023167
## [8888,] -1.728187297 -1.5994096039
## [8889,]  0.240407148  0.2361684881
## [8890,] -0.467985007 -0.4770615586
## [8891,] -0.404629029 -0.4132728970
## [8892,] -0.937102227 -0.9493825660
## [8893,]  0.503263713  0.5008202054
## [8894,] -0.276816596 -0.2845875824
## [8895,]  1.103337583  1.1049922179
## [8896,]  0.159600764  0.1548102449
## [8897,]  0.472764806  0.4701130086
## [8898,] -0.470500381 -0.4795941109
## [8899,] -0.368313319 -0.3767091729
## [8900,] -0.686508109 -0.6970770412
## [8901,] -0.533384727 -0.5429079188
## [8902,] -0.800643197 -0.8119916027
## [8903,]  0.079737645  0.0744017088
## [8904,] -0.461067729 -0.4700970397
## [8905,] -0.313289517 -0.3213095910
## [8906,] -0.942132975 -0.9544476706
## [8907,]  0.315553941  0.3118284887
## [8908,]  0.001132212 -0.0047405512
## [8909,] -0.751907829 -0.7629234015
## [8910,] -1.022310515 -1.0351727758
## [8911,] -0.209215924 -0.2165252388
## [8912,] -0.794983605 -0.8062933600
## [8913,] -0.942132975 -0.6248993002
## [8914,] -1.099343839 -0.8198108580
## [8915,] -0.061752133 -0.0680543591
## [8916,] -0.423337122 -0.4321087549
## [8917,] -1.728187297 -1.5994096039
## [8918,] -1.806792729 -1.6968653828
## [8919,] -0.313289517 -0.3213095910
## [8920,] -0.627711246 -0.6378786308
## [8921,]  0.315553941  0.3118284887
## [8922,] -0.234684084 -0.2421673310
## [8923,]  0.179440775  0.1747857513
## [8924,] -0.201025238 -0.2082786153
## [8925,]  0.268390682  0.2643431327
## [8926,] -0.423337122 -0.4321087549
## [8927,] -1.413765568 -1.2096023167
## [8928,] -1.570976433 -1.4045138745
## [8929,]  0.967979029  0.9687092463
## [8930,] -0.178088173 -0.1851849039
## [8931,]  0.667706278  0.6663858133
## [8932,] -0.931128214 -0.9433677542
## [8933,] -0.313289517 -0.3213095910
## [8934,] -1.393328156 -1.4087242427
## [8935,] -0.313289517 -0.3213095910
## [8936,] -1.393328156 -1.4087242427
## [8937,]  0.158343077  0.1535439688
## [8938,] -0.580547986 -0.5903932748
## [8939,]  0.001132212 -0.0047405512
## [8940,] -0.854880945 -0.8665997621
## [8941,]  0.268390682  0.2643431327
## [8942,] -0.541245270 -0.5508221448
## [8943,] -0.582120095 -0.5919761200
## [8944,] -0.937102227 -0.9493825660
## [8945,] -0.582120095 -0.5919761200
## [8946,] -0.937102227 -0.9493825660
## [8947,]  0.243236944  0.2390176095
## [8948,] -0.276816596 -0.2845875824
## [8949,]  1.477342230  1.4815510908
## [8950,]  0.104891383  0.0997272320
## [8951,] -0.209530346 -0.2168418078
## [8952,] -0.639030428 -0.6492751162
## [8953,] -0.330975739 -0.3391165995
## [8954,] -0.883964955 -0.8958823982
## [8955,]  1.164492609  1.1665648962
## [8956,]  0.282146633  0.2781930282
## [8957,]  0.394159374  0.3909707486
## [8958,] -0.234684084 -0.2421673310
## [8959,]  0.930248421  0.9307209615
## [8960,]  0.073449210  0.0680703280
## [8961,]  0.472764806  0.4701130086
## [8962,]  0.158343077  0.1535439688
## [8963,]  0.870508293  0.8705728439
## [8964,] -0.149790218 -0.1566936903
## [8965,]  0.409880460  0.4067992006
## [8966,] -0.093194306 -0.0997112631
## [8967,]  0.788758643  0.7882648936
## [8968,]  0.158343077  0.1535439688
## [8969,] -1.248694160 -1.2631024844
## [8970,] -1.508092087 -1.5242719423
## [8971,]  0.870508293  0.8705728439
## [8972,] -0.149790218 -0.1566936903
## [8973,]  0.870508293  0.8705728439
## [8974,]  0.546653912  0.5445067329
## [8975,]  0.395731482  0.3925535938
## [8976,] -0.152148381 -0.1590679581
## [8977,] -0.531026564 -0.5405336510
## [8978,] -0.799857142 -0.8112001801
## [8979,] -0.077473220 -0.0838828111
## [8980,] -0.313289517 -0.3213095910
## [8981,] -0.582120095 -0.5919761200
## [8982,] -0.937102227 -0.9493825660
## [8983,] -1.020738407 -1.0335899306
## [8984,] -1.177949271 -1.1918744505
## [8985,]  1.007281745  1.0082803763
## [8986,]  0.670850495  0.6695515037
## [8987,]  1.831066675  1.8376912606
## [8988,]  0.993447189  0.9943513385
## [8989,]  0.079737645  0.0744017088
## [8990,] -0.549105813 -0.5587363708
## [8991,] -0.135641240 -0.1424480835
## [8992,] -0.751907829 -0.7629234015
## [8993,] -0.534422319 -0.5439525967
## [8994,] -1.073152509 -1.0863619895
## [8995,]  0.892502093  0.8927168483
## [8996,] -0.799071088 -0.8104087575
## [8997,] -0.313289517 -0.3213095910
## [8998,] -0.619850702 -0.6299644048
## [8999,] -1.570976433 -1.4045138745
## [9000,] -1.806792729 -1.6968653828
## [9001,] -1.099343839 -1.1127321905
## [9002,] -1.413765568 -1.4293012303
## [9003,]  0.670284536  0.6689816794
## [9004,] -0.079768499 -0.0861937651
## [9005,]  1.258819128  1.2615356081
## [9006,]  0.001132212 -0.0047405512
## [9007,]  0.005219695 -0.0006251536
## [9008,] -0.639030428 -0.6492751162
## [9009,]  0.315553941  0.3118284887
## [9010,]  0.001132212 -0.0047405512
## [9011,]  0.158343077  0.1535439688
## [9012,] -0.313289517 -0.3213095910
## [9013,] -1.303717963 -1.3185020664
## [9014,] -1.539534260 -1.5559288463
## [9015,]  0.064016558  0.0585732568
## [9016,] -0.376173862 -0.3846233989
## [9017,] -0.329010603 -0.3371380430
## [9018,] -0.800643197 -0.8119916027
## [9019,]  0.944397399  0.9449665683
## [9020,] -0.156078652 -0.1630250711
## [9021,]  0.944397399  0.9449665683
## [9022,] -0.156078652 -0.1630250711
## [9023,]  0.944397399  0.9449665683
## [9024,] -0.156078652 -0.1630250711
## [9025,] -0.784922110 -0.7961631507
## [9026,] -1.272275790 -1.2868451624
## [9027,]  0.944397399  0.9449665683
## [9028,] -0.156078652 -0.1630250711
## [9029,]  0.002311294 -0.0035534173
## [9030,] -0.613169241 -0.6232373127
## [9031,] -0.784922110 -0.7961631507
## [9032,] -1.964003594 -1.9832970500
## [9033,] -0.368313319 -0.3767091729
## [9034,] -0.686508109 -0.6970770412
## [9035,]  1.103337583  1.1049922179
## [9036,]  0.159600764  0.1548102449
## [9037,] -0.706316678 -0.7170208907
## [9038,] -0.784922110 -0.7961631507
## [9039,]  0.315553941  0.3118284887
## [9040,] -0.234684084 -0.2421673310
## [9041,]  1.258819128  1.2615356081
## [9042,] -0.156078652 -0.1630250711
## [9043,] -0.234684084 -0.2421673310
## [9044,] -1.570976433 -1.5875857502
## [9045,]  1.101608264  1.1032510882
## [9046,] -0.156078652 -0.1630250711
## [9047,] -0.156078652  0.3495951751
## [9048,] -1.256554704 -1.0147065873
## [9049,]  1.101608264  1.1032510882
## [9050,] -0.470500381 -0.4795941109
## [9051,]  0.787186535  0.7866820484
## [9052,] -0.470500381 -0.4795941109
## [9053,] -0.470500381 -0.4795941109
## [9054,] -1.335160136 -1.3501589704
## [9055,]  2.736601254  2.7494100953
## [9056,]  1.038723918  1.0399372802
## [9057,]  0.944397399  0.9449665683
## [9058,] -0.784922110 -0.7961631507
## [9059,]  0.552942347  0.5508381137
## [9060,] -0.708045997 -0.7187620205
## [9061,] -0.706316678 -0.7170208907
## [9062,] -1.099343839 -1.1127321905
## [9063,] -0.784922110 -1.1631616386
## [9064,]  0.111179817 -0.5254333078
## [9065,]  1.573240857  0.6606400852
## [9066,] -0.470500381 -0.4795941109
## [9067,] -1.523813173 -1.4976010007
## [9068,] -1.570976433 -1.5474922814
## [9069,] -1.177949271 -1.1918744505
## [9070,]  0.111179817  0.1060586128
## [9071,] -0.942132975 -1.2847399783
## [9072,] -1.335160136 -1.3501589704
## [9073,] -1.335160136 -1.2980358780
## [9074,] -0.643432332 -0.6537070828
## [9075,] -0.973575147 -1.3090524806
## [9076,] -2.042609026 -2.0624393100
## [9077,] -0.989296234 -0.7512261755
## [9078,]  0.787186535  0.7866820484
## [9079,] -1.311578506 -1.5704751936
## [9080,] -1.130786012 -1.1443890945
## [9081,] -0.234684084 -0.2421673310
## [9082,] -0.549105813 -0.5587363708
## [9083,] -0.454779295 -1.0515710520
## [9084,] -1.728187297 -1.7458702702
## [9085,] -1.885398161 -1.8800955430
## [9086,] -1.460928827 -1.4310740170
## [9087,] -1.602418605 -1.5125272309
## [9088,] -1.020738407 -0.9654326163
## [9089,] -0.470500381 -1.0625401693
## [9090,]  0.236948509  0.2326862287
## [9091,]  0.048295472  0.0427448048
## [9092,] -0.784922110 -0.7961631507
## [9093,] -0.784922110 -1.1631616386
## [9094,]  0.001132212 -1.8470299068
## [9095,] -1.177949271 -1.1918744505
## [9096,] -2.042609026 -2.0624393100
## [9097,] -1.901119248 -1.8967312461
## [9098,] -1.256570425 -1.2710325389
## [9099,] -1.526957390 -1.5009249756
## [9100,] -1.429486654 -1.3978184393
## [9101,]  0.040434928  0.0348305788
## [9102,] -0.470500381 -0.4795941109
## [9103,] -0.234684084 -0.2421673310
## [9104,]  4.010009257  4.0315147065
## [9105,]  0.001132212 -0.0047405512
## [9106,]  1.416029993  1.4198201280
## [9107,] -0.234684084 -0.2421673310
## [9108,] -1.099343839 -1.1127321905
## [9109,]  3.616982095  3.6358034068
## [9110,] -0.549105813 -0.4732310732
## [9111,]  0.425601546  0.4226276526
## [9112,] -1.382323395 -1.3479271586
## [9113,] -1.602418605 -1.6192426542
## [9114,] -2.042609026 -2.0624393100
## [9115,]  1.101608264  1.1032510882
## [9116,]  0.001132212 -0.0047405512
## [9117,] -0.942132975 -0.9544476706
## [9118,] -0.784922110 -0.7961631507
## [9119,] -0.784922110 -0.7961631507
## [9120,] -0.784922110 -0.7961631507
## [9121,] -0.093194306 -0.0997112631
## [9122,] -0.030309961  0.0823001063
## [9123,] -1.979724680 -1.9991255020
## [9124,] -1.753341035 -1.7711957933
## [9125,] -0.784922110 -0.7961631507
## [9126,] -1.060041123 -1.0731610605
## [9127,] -1.696745124 -1.5931890222
## [9128,] -0.470500381 -0.4795941109
## [9129,] -1.099343839 -1.0485794746
## [9130,] -2.042609026 -2.0624393100
## [9131,] -0.391894949 -0.4004518509
## [9132,] -0.470500381 -0.4795941109
## [9133,] -1.099343839 -0.6372929781
## [9134,] -2.042609026 -2.0464050881
## [9135,] -1.570976433 -1.5875857502
## [9136,]  0.787186535  0.7866820484
## [9137,] -1.413765568 -1.4293012303
## [9138,]  0.787186535  0.7866820484
## [9139,] -0.784922110 -0.7961631507
## [9140,] -0.784922110 -0.7961631507
## [9141,] -1.256554704 -1.0692989183
## [9142,] -1.539549981 -1.4403336614
## [9143,] -1.523813173 -1.3873716610
## [9144,] -1.413765568 -1.0727178639
## [9145,]  0.315553941  0.3118284887
## [9146,]  0.001132212 -0.0047405512
## [9147,] -1.492371000 -1.5084434903
## [9148,]  1.573240857  1.5781046479
## [9149,] -1.099343839 -1.1127321905
## [9150,] -1.256554704 -1.2710167104
## [9151,] -0.627711246 -0.3208980512
## [9152,] -1.508092087 -1.3686624308
## [9153,] -1.413765568 -1.2958990370
## [9154,] -1.020738407 -1.0335899306
## [9155,]  1.258819128  1.2615356081
## [9156,] -0.391894949 -0.4004518509
## [9157,] -0.470500381 -0.4795941109
## [9158,]  4.717458147  4.7437950461
## [9159,] -1.712466211 -1.6388857631
## [9160,] -1.335160136 -1.2056452037
## [9161,]  0.150482534 -0.3652968591
## [9162,] -0.093194306 -0.0997112631
## [9163,] -0.863527542 -1.1796232286
## [9164,]  0.001132212 -0.0047405512
## [9165,] -0.737758851 -0.7486777947
## [9166,]  0.048295472  0.0427448048
## [9167,] -0.942132975 -0.9544476706
## [9168,] -0.942132975 -0.9544476706
## [9169,] -1.413765568 -1.4293012303
## [9170,] -1.570976433 -1.5875857502
## [9171,]  1.887662586  1.8946736878
## [9172,] -1.287996876 -1.5205047707
## [9173,] -1.728187297 -1.6306074828
## [9174,] -0.313289517  0.0533023823
## [9175,] -0.627711246 -1.9282773509
## [9176,] -0.627711246 -0.6378786308
## [9177,] -1.413765568 -1.0727178639
## [9178,]  1.573240857  1.5781046479
## [9179,] -1.570976433 -1.4435151802
## [9180,] -1.099343839 -1.1127321905
## [9181,] -0.187520825 -0.1946819750
## [9182,] -0.156078652 -0.1630250711
## [9183,] -1.303717963 -1.1254424375
## [9184,]  0.315553941  0.3118284887
## [9185,] -1.099343839 -1.1127321905
## [9186,] -1.637633839 -1.6546983867
## [9187,] -0.784922110 -0.7961631507
## [9188,] -1.649581865 -1.5370613315
## [9189,]  1.337424560  1.3406778681
## [9190,]  0.001132212 -0.0047405512
## [9191,] -1.256554704 -1.1153755420
## [9192,]  1.180213696  1.1823933482
## [9193,] -1.335160136 -1.1628608980
## [9194,] -1.665302951 -1.5847366289
## [9195,] -1.177949271 -0.9757527670
## [9196,] -1.177949271 -0.7461452424
## [9197,] -1.060041123 -0.5828589317
## [9198,] -1.099343839 -0.8822066157
## [9199,]  0.001132212 -0.0047405512
## [9200,] -0.549105813 -0.5587363708
## [9201,]  1.337424560  0.5879083483
## [9202,] -1.768181741 -1.5635423317
## [9203,] -0.690595591 -0.7011924388
## [9204,] -0.973575147 -0.5924193167
## [9205,]  0.001132212 -0.0047405512
## [9206,] -2.136935545 -2.1262912853
## [9207,] -1.083622753 -0.8634973855
## [9208,] -1.256554704 -1.2710167104
## [9209,] -1.413765568 -1.1608823415
## [9210,] -0.470500381 -0.9656225577
## [9211,]  1.981989105  1.9896443997
## [9212,]  0.598533497  0.5967406245
## [9213,]  0.158343077  0.1535439688
## [9214,] -0.706316678 -0.7170208907
## [9215,]  0.787186535  0.7866820484
## [9216,]  0.378438287  0.3751422966
## [9217,] -0.894969715 -0.9069623146
## [9218,] -1.548966911 -1.4173190922
## [9219,] -0.942132975 -0.9544476706
## [9220,] -1.390183938 -1.2688165556
## [9221,]  0.315553941  0.3118284887
## [9222,] -1.256554704 -0.8550133352
## [9223,] -1.869677075 -1.7990063835
## [9224,] -1.531673716 -1.2360041746
## [9225,] -0.926411888 -0.9386192186
## [9226,] -0.391894949 -0.8008642009
## [9227,]  0.236948509  0.2326862287
## [9228,] -1.099343839 -1.1127321905
## [9229,] -0.313289517 -0.7377403344
## [9230,] -1.696745124 -1.7142133662
## [9231,] -0.549105813 -0.5587363708
## [9232,] -1.099343839 -1.3689948282
## [9233,]  1.730451722  1.7363891678
## [9234,] -0.627711246 -0.6378786308
## [9235,]  0.472764806  0.4701130086
## [9236,]  0.787186535  0.7866820484
## [9237,] -1.020738407 -0.6533271999
## [9238,]  0.787186535  0.7866820484
## [9239,]  1.667567376  1.6730753599
## [9240,] -0.627711246 -0.6378786308
## [9241,] -1.256554704 -1.1153755420
## [9242,] -1.217251987 -1.2314455804
## [9243,]  0.551370238  0.5492552685
## [9244,] -1.429486654 -1.2751162795
## [9245,] -0.784922110 -0.7961631507
## [9246,] -0.596269073 -0.6062217268
## [9247,]  0.001132212 -0.0047405512
## [9248,]  0.472764806 -2.0597326447
## [9249,] -1.492371000 -1.5084434903
## [9250,] -1.445207741 -1.4609581343
## [9251,] -0.784922110 -0.7961631507
## [9252,] -1.323840954 -1.1493908853
## [9253,] -1.020738407 -1.0335899306
## [9254,] -1.335160136 -1.1628608980
## [9255,] -0.706316678 -0.7170208907
## [9256,] -1.225112531 -1.2393598064
## [9257,] -1.492371000 -1.3499532005
## [9258,]  1.573240857 -1.9355584388
## [9259,] -0.599806317 -0.6097831285
## [9260,] -0.892611552 -0.9045880468
## [9261,]  0.158343077  0.1535439688
## [9262,] -2.017455288 -1.9748763136
## [9263,] -1.508092087 -1.3686624308
## [9264,]  0.629975670  0.6283975285
## [9265,] -0.470500381 -0.1338057487
## [9266,] -0.942132975 -1.2427470952
## [9267,] -0.234684084 -0.2421673310
## [9268,] -2.026887940 -1.9860986860
## [9269,] -0.046031047 -0.0522259071
## [9270,] -0.462639838 -0.8576883436
## [9271,]  0.378438287  0.3751422966
## [9272,] -0.234684084 -0.2421673310
## [9273,] -2.013619343 -2.0332516445
## [9274,] -0.391894949 -0.4004518509
## [9275,] -1.649581865 -1.5666763652
## [9276,] -1.429486654 -1.2751162795
## [9277,] -1.570976433 -1.5875857502
## [9278,] -1.806792729 -1.7471998601
## [9279,] -0.989296234 -1.0019330266
## [9280,] -2.011166853 -1.9673894558
## [9281,] -1.150280159 -0.9428295868
## [9282,] -1.083622753 -1.0969037385
## [9283,] -0.942132975 -0.9544476706
## [9284,] -1.539534260 -1.4060808913
## [9285,]  0.708581102  0.7075397884
## [9286,] -1.853955989 -1.7802971532
## [9287,] -1.020738407 -1.0335899306
## [9288,]  4.182941208  4.2056276784
## [9289,]  1.180213696  1.1823933482
## [9290,] -1.714038319 -1.4885629546
## [9291,] -1.020738407 -0.5284407137
## [9292,]  0.472764806 -1.6414499724
## [9293,] -0.784922110 -0.5738208856
## [9294,] -1.177949271 -0.9757527670
## [9295,] -1.476649914 -1.4926150383
## [9296,]  0.472764806 -1.9261721668
## [9297,] -1.177949271 -0.9757527670
## [9298,] -1.696745124 -1.6208413279
## [9299,] -0.816364283 -0.8278200547
## [9300,] -1.602418605 -1.3339822924
## [9301,] -1.602418605 -1.4809336407
## [9302,] -2.026887940 -1.9860986860
## [9303,] -0.470500381 -0.4795941109
## [9304,] -2.042609026 -2.0624393100
## [9305,]  2.752322341  2.7652385473
## [9306,]  0.787186535  0.7866820484
## [9307,]  2.359295180 -1.6525457172
## [9308,]  0.158343077  0.1535439688
## [9309,] -1.570976433 -1.5875857502
## [9310,] -1.822513816 -1.7428786927
## [9311,]  0.236948509  0.2326862287
## [9312,] -1.775350556 -1.7110951611
## [9313,]  0.551370238  0.5492552685
## [9314,] -1.492371000 -1.3861528702
## [9315,] -1.150280159 -0.9428295868
## [9316,] -2.058330112 -2.0360216236
## [9317,] -0.627711246 -0.6378786308
## [9318,] -0.156078652 -0.1630250711
## [9319,] -0.470500381 -0.4795941109
## [9320,] -0.627711246 -0.9902516290
## [9321,] -1.649581865 -1.3992904854
## [9322,] -1.335160136 -1.1628608980
## [9323,] -1.193670358 -1.2077029025
## [9324,]  0.032574385  0.0269163528
## [9325,] -2.074051199 -2.0940962140
## [9326,] -1.413765568 -1.4293012303
## [9327,] -0.313289517 -0.3213095910
## [9328,] -0.753479937 -2.0797398080
## [9329,] -1.570976433 -1.4435151802
## [9330,] -0.046031047  0.3713751251
## [9331,] -0.313289517 -0.0322662292
## [9332,] -1.822513816 -1.7652442954
## [9333,] -1.734475732 -1.6380943405
## [9334,] -1.099343839 -0.9348678755
## [9335,] -1.492371000 -1.3861528702
## [9336,] -0.549105813 -0.5587363708
## [9337,]  1.337424560  1.3406778681
## [9338,] -1.177949271 -1.1918744505
## [9339,] -1.382323395 -1.3976443264
## [9340,] -1.209391444 -1.2235313545
## [9341,] -1.753341035 -1.6605390855
## [9342,]  0.633119888  0.6315632189
## [9343,] -0.501942554 -0.5112510149
## [9344,] -0.182018445 -0.1891420168
## [9345,] -0.300712647 -0.3086468294
## [9346,] -1.728187297 -1.6569460269
## [9347,]  0.284111768  0.2801715847
## [9348,]  0.158343077 -0.4944886842
## [9349,]  4.292988813  4.3164268424
## [9350,] -1.979724680 -1.9299709953
## [9351,]  0.236948509  0.2326862287
## [9352,]  4.120056862  4.1423138705
## [9353,]  0.016853299  0.0110879008
## [9354,] -0.706316678 -0.7170208907
## [9355,] -0.784922110 -0.7961631507
## attr(,"scaled:center")
##        salary salary_in_usd 
##      149928.0      150299.5 
## attr(,"scaled:scale")
##        salary salary_in_usd 
##      63608.84      63177.37
matstand.all <- data.frame(Salary_Level, matstand)
colnames(matstand.all) <- colnames(dataset[1:3])
t2testsparr <- hotelling.test(salary + salary_in_usd ~ Salary_Level,data=matstand.all)
cat("T2 statistic =",t2testsparr$stat[[1]],"\n")
## T2 statistic = 14574.91
print(t2testsparr)
## Test stat:  14575 
## Numerator df:  2 
## Denominator df:  9352 
## P-value:  0
# In the above we standardized using scale function
matabsdev.all
##      Salary_Level      salary salary_in_usd
## 1             Low 0.009432652   0.013390870
## 2            High 0.399315596   0.398148881
## 3             Low 0.594257068   0.594421686
## 4            High 0.367873423   0.366491977
## 5             Low 0.292412208   0.298303006
## 6             Low 0.594257068   0.594421686
## 7             Low 1.782771203   1.791052657
## 8            High 0.745179498   0.746374825
## 9             Low 0.281407447   0.279435491
## 10           High 0.496786332   0.504072882
## 11           High 1.256114807   1.260799515
## 12           High 0.543949591   0.551558238
## 13            Low 0.559670678   0.559599092
## 14            Low 1.364590304   1.370015834
## 15            Low 0.069172780   0.073538988
## 16            Low 0.300272751   0.306217232
## 17            Low 0.011004761   0.014973716
## 18           High 0.025153738   0.029219322
## 19           High 0.954269947   0.956893237
## 20            Low 0.166643516   0.171675390
## 21            Low 0.281407447   0.279435491
## 22           High 0.958986273   0.961641772
## 23            Low 0.578535981   0.578593234
## 24           High 0.006288435   0.010225180
## 25            Low 0.300272751   0.306217232
## 26           High 0.011004761   0.014973716
## 27           High 0.106588966   0.111210704
## 28           High 0.671919235   0.680401837
## 29            Low 1.516298788   1.522760395
## 30           High 0.033014282   0.029345950
## 31           High 1.256114807   1.260799515
## 32           High 0.663429848   0.671854473
## 33            Low 1.586257623   1.593197007
## 34           High 0.481065245   0.488244430
## 35            Low 0.194941472   0.192379005
## 36           High 0.386738727   0.393273718
## 37            Low 0.247072595   0.252653751
## 38            Low 0.040874825   0.045047774
## 39            Low 0.772691399   0.774074616
## 40           High 0.194155418   0.199375181
## 41            Low 0.339575467   0.345788362
## 42           High 0.603689720   0.603918757
## 43            Low 0.575391764   0.583215142
## 44           High 0.429185660   0.428222940
## 45            Low 0.525084287   0.524776497
## 46           High 0.575391764   0.583215142
## 47            Low 0.575391764   0.583215142
## 48           High 0.957414165   0.960058927
## 49           High 0.226383645   0.231823508
## 50           High 0.496786332   0.504072882
## 51            Low 0.630415567   0.630827126
## 52           High 0.040874825   0.045047774
## 53            Low 0.418180900   0.424930622
## 54            Low 0.323854381   0.329959910
## 55            Low 0.011004761   0.014973716
## 56           High 0.339575467   0.345788362
## 57           High 0.525084287   0.524776497
## 58           High 0.103759171   0.108361582
## 59           High 0.040874825   0.045047774
## 60            Low 0.446478855   0.445634237
## 61            Low 0.210662558   0.208207457
## 62            Low 1.043880140   1.047115413
## 63            Low 0.525084287   0.524776497
## 64            Low 0.166643516   0.171675390
## 65            Low 0.367873423   0.366491977
## 66           High 0.622555023   0.630700498
## 67           High 0.009432652   0.013390870
## 68            Low 0.402459813   0.409102170
## 69            Low 0.289267991   0.287349717
## 70           High 0.543949591   0.551558238
## 71           High 0.525084287   0.524776497
## 72            Low 0.053451694   0.049922938
## 73            Low 0.289267991   0.287349717
## 74           High 0.543949591   0.551558238
## 75           High 0.229527862   0.234989198
## 76           High 0.638276110   0.646528950
## 77            Low 0.606833937   0.614872046
## 78           High 0.575391764   0.583215142
## 79            Low 0.095678532   0.100225758
## 80           High 0.367873423   0.366491977
## 81           High 0.622555023   0.630700498
## 82           High 1.630276665   1.637516672
## 83            Low 0.158547157   0.155736139
## 84           High 0.525084287   0.524776497
## 85           High 0.166643516   0.171675390
## 86           High 0.182364603   0.187503842
## 87            Low 0.025153738   0.029219322
## 88           High 0.575391764   0.583215142
## 89           High 0.653997196   0.662357402
## 90           High 3.504230169   1.844663623
## 91            Low 0.687011478   0.687809553
## 92           High 0.600545502   0.600753067
## 93           High 1.122485572   1.126257673
## 94           High 0.245248949   0.250817650
## 95            Low 0.147778213   0.144893650
## 96           High 0.144633995   0.141727959
## 97            Low 0.237388405   0.242903424
## 98           High 0.323854381   0.329959910
## 99            Low 0.525084287   0.524776497
## 100           Low 0.418180900   0.424930622
## 101           Low 0.525084287   0.524776497
## 102          High 0.025153738   0.029219322
## 103           Low 0.543949591   0.551558238
## 104          High 0.525084287   0.524776497
## 105           Low 0.525084287   0.524776497
## 106          High 0.525084287   0.524776497
## 107           Low 0.525084287   0.524776497
## 108           Low 0.572247547   0.580049452
## 109           Low 0.304989077   0.310965768
## 110           Low 0.012812685   0.009006389
## 111           Low 0.012812685   0.009006389
## 112          High 0.323854381   0.329959910
## 113           Low 1.883386157   1.892354749
## 114          High 0.281407447   0.287223090
## 115          High 0.012812685   0.009006389
## 116          High 0.339575467   0.345788362
## 117           Low 0.575391764   0.583215142
## 118          High 0.308133294   0.314131458
## 119          High 0.025153738   0.029219322
## 120          High 0.056595911   0.053088628
## 121           Low 0.323854381   0.329959910
## 122          High 0.095678532   0.100225758
## 123          High 1.688444685   1.696081945
## 124           Low 0.084893867   0.081579842
## 125           Low 1.248254264   1.252885289
## 126          High 0.308133294   0.314131458
## 127          High 0.210662558   0.208207457
## 128          High 0.575391764   0.583215142
## 129          High 0.358440771   0.364782505
## 130          High 0.097470736   0.102030202
## 131          High 2.081471846   2.091793244
## 132          High 0.304989077   0.303178169
## 133          High 0.446478855   0.445634237
## 134          High 1.248254264   1.252885289
## 135          High 0.308133294   0.314131458
## 136           Low 0.130485018   0.135269951
## 137           Low 0.559670678   0.559599092
## 138          High 0.446478855   0.445634237
## 139          High 0.839506016   0.841345537
## 140          High 0.367873423   0.366491977
## 141           Low 0.575391764   0.583215142
## 142          High 0.653997196   0.662357402
## 143           Low 0.512507418   0.519901334
## 144           Low 0.839506016   0.841345537
## 145           Low 0.461413887   0.468458865
## 146           Low 0.519581907   0.519236539
## 147          High 0.575391764   0.583215142
## 148           Low 0.103759171   0.108361582
## 149          High 0.958986273   0.961641772
## 150          High 0.996716881   0.999630057
## 151          High 0.053451694   0.049922938
## 152          High 0.260970035   0.266646102
## 153          High 0.251537383   0.249361433
## 154          High 0.279835339   0.285640245
## 155          High 0.257825818   0.255692813
## 156           Low 0.210662558   0.208207457
## 157          High 0.418180900   0.424930622
## 158          High 0.575391764   0.394033484
## 159          High 0.025153738   0.029219322
## 160           Low 0.575391764   0.583215142
## 161           Low 0.418180900   0.424930622
## 162           Low 0.653997196   0.662357402
## 163           Low 1.059601227   1.062943865
## 164           Low 0.433901986   0.440759074
## 165           Low 0.260970035   0.266646102
## 166           Low 0.276691121   0.282474554
## 167           Low 0.323854381   0.329959910
## 168           Low 0.053451694   0.049922938
## 169           Low 0.339575467   0.345788362
## 170           Low 1.870809287   1.879691988
## 171           Low 0.628843458   0.637031879
## 172           Low 0.575391764   0.583215142
## 173           Low 1.389744042   1.395341357
## 174          High 0.631987675   0.640197569
## 175           Low 0.344291793   0.342749299
## 176          High 0.339575467   0.345788362
## 177           Low 1.133490333   1.137337589
## 178           Low 0.221667319   0.227074972
## 179           Low 0.575391764   0.583215142
## 180          High 0.025153738   0.029219322
## 181           Low 0.575391764   0.583215142
## 182          High 0.323854381   0.329959910
## 183          High 0.182364603   0.179716244
## 184          High 0.323854381   0.329959910
## 185           Low 0.399315596   0.398148881
## 186          High 0.399315596   0.398148881
## 187          High 0.323854381   0.329959910
## 188          High 0.306561186   0.312548613
## 189           Low 0.323854381   0.329959910
## 190          High 0.260970035   0.266646102
## 191          High 0.653997196   0.662357402
## 192           Low 0.399315596   0.398148881
## 193           Low 0.260970035   0.266646102
## 194          High 0.653997196   0.662357402
## 195           Low 1.447912062   1.453906629
## 196          High 0.429185660   0.436010539
## 197          High 0.630415567   0.630827126
## 198          High 0.558098569   0.565803845
## 199           Low 0.954269947   0.956893237
## 200           Low 0.022009521   0.018266034
## 201           Low 0.575391764   0.583215142
## 202          High 0.418180900   0.424930622
## 203           Low 1.405465128   1.411169809
## 204          High 0.198085689   0.203332294
## 205           Low 1.153927745   1.157914577
## 206          High 0.996716881   0.999630057
## 207           Low 0.367873423   0.366491977
## 208           Low 0.022009521   0.018266034
## 209           Low 0.808063843   0.809688633
## 210           Low 0.166643516   0.171675390
## 211          High 0.281407447   0.279435491
## 212           Low 0.399315596   0.398148881
## 213          High 0.053451694   0.049922938
## 214           Low 1.177509375   1.181657255
## 215           Low 0.823784930   0.825517085
## 216           Low 0.441762529   0.448673300
## 217           Low 2.280186378   2.291864878
## 218           Low 1.275294533   1.280110226
## 219           Low 0.103759171   0.108361582
## 220           Low 0.591898905   0.592047418
## 221          High 0.323854381   0.329959910
## 222           Low 0.295556425   0.293681098
## 223          High 0.525084287   0.524776497
## 224           Low 0.418180900   0.424930622
## 225          High 0.682295152   0.683061017
## 226           Low 0.008961019   0.012916017
## 227          High 0.870948189   0.873002441
## 228          High 0.525084287   0.524776497
## 229          High 1.122485572   1.126257673
## 230           Low 0.245248949   0.250817650
## 231           Low 0.084893867   0.081579842
## 232           Low 0.135201343   0.140018486
## 233          High 0.367873423   0.366491977
## 234           Low 0.418180900   0.424930622
## 235          High 0.575391764   0.583215142
## 236          High 1.153927745   1.157914577
## 237           Low 0.304989077   0.303178169
## 238          High 0.103759171   0.108361582
## 239           Low 0.210662558   0.208207457
## 240          High 0.399315596   0.398148881
## 241           Low 1.254542699   1.259216670
## 242           Low 0.209090450   0.214412211
## 243           Low 0.330142815   0.336291291
## 244           Low 0.374161857   0.372823358
## 245           Low 0.253109492   0.258731876
## 246          High 0.399315596   0.398148881
## 247           Low 0.260970035   0.266646102
## 248           Low 0.418180900   0.424930622
## 249           Low 0.018865304   0.022887942
## 250          High 0.100614953   0.097408294
## 251           Low 0.449623072   0.456587526
## 252          High 0.260970035   0.266646102
## 253          High 0.559670678   0.559599092
## 254          High 0.606833937   0.614872046
## 255          High 0.281407447   0.279435491
## 256          High 0.144633995   0.141727959
## 257          High 0.388310835   0.394856563
## 258          High 0.092754410   0.089494068
## 259           Low 0.276691121   0.282474554
## 260          High 0.471632593   0.470959761
## 261           Low 0.663429848   0.671854473
## 262           Low 0.575391764   0.583215142
## 263           Low 0.323854381   0.329959910
## 264          High 0.323854381   0.329959910
## 265          High 2.353446641   2.365625464
## 266          High 0.119480257   0.124190034
## 267           Low 1.726175292   1.734070229
## 268          High 0.424469334   0.431262003
## 269          High 0.399315596   0.398148881
## 270           Low 0.281407447   0.279435491
## 271           Low 1.130346116   1.134171899
## 272          High 0.627271349   0.627661435
## 273           Low 0.953483893   0.956101814
## 274          High 0.418180900   0.424930622
## 275           Low 0.399315596   0.398148881
## 276          High 0.732602628   0.230937115
## 277           Low 0.509363201   0.508948045
## 278          High 2.149072517   2.159855588
## 279          High 0.029870064   0.033967858
## 280           Low 0.996716881   0.999630057
## 281           Low 0.210662558   0.208207457
## 282          High 0.011004761   0.014973716
## 283           Low 0.242104731   0.239864361
## 284           Low 0.622555023   0.630700498
## 285          High 0.251144356   0.256753320
## 286           Low 0.025153738   0.029219322
## 287          High 1.782771203   1.791052657
## 288           Low 1.153927745   1.157914577
## 289          High 0.603689720   0.603918757
## 290          High 0.260970035   0.266646102
## 291          High 0.281407447   0.279435491
## 292           Low 1.740324270   1.748315836
## 293          High 0.182364603   0.179716244
## 294          High 0.839506016   0.841345537
## 295           Low 0.053451694   0.049922938
## 296          High 0.025153738   0.029219322
## 297           Low 0.559670678   0.559599092
## 298           Low 2.160077278   2.170935504
## 299           Low 0.433901986   0.440759074
## 300          High 0.331714924   0.330086538
## 301           Low 0.559670678   0.559599092
## 302          High 0.210662558   0.208207457
## 303          High 0.575391764   0.583215142
## 304          High 0.745179498   0.746374825
## 305          High 0.336431250   0.334835073
## 306           Low 0.006288435   0.002437582
## 307           Low 0.242104731   0.239864361
## 308          High 0.622555023   0.630700498
## 309           Low 0.575391764   0.583215142
## 310           Low 0.053451694   0.049922938
## 311           Low 0.339575467   0.345788362
## 312           Low 1.468349474   1.474483617
## 313           Low 0.053451694   0.049922938
## 314          High 0.399315596   0.398148881
## 315          High 0.053451694   0.049922938
## 316          High 0.929116209   0.931567713
## 317          High 0.399315596   0.398148881
## 318          High 0.399315596   0.398148881
## 319          High 1.405465128   1.411169809
## 320           Low 0.198085689   0.203332294
## 321          High 0.643935701   0.652227193
## 322           Low 1.782771203   1.791052657
## 323           Low 0.132057126   0.129065198
## 324           Low 0.053451694   0.049922938
## 325          High 0.281407447   0.279435491
## 326          High 0.779137044   0.780564281
## 327          High 0.427487783   0.434301066
## 328           Low 0.653997196   0.662357402
## 329           Low 0.441856856   0.448768271
## 330           Low 0.080177541   0.084618904
## 331           Low 1.782771203   1.791052657
## 332           Low 1.153927745   1.157914577
## 333          High 1.122485572   1.126257673
## 334           Low 0.245248949   0.250817650
## 335          High 0.210662558   0.208207457
## 336           Low 0.575391764   0.583215142
## 337          High 0.608406046   0.608667293
## 338          High 0.169787734   0.167053482
## 339          High 0.297128534   0.295263943
## 340          High 0.078605432   0.075248461
## 341          High 0.929116209   0.931567713
## 342           Low 0.042446933   0.046630620
## 343          High 1.389744042   1.395341357
## 344          High 0.323854381   0.329959910
## 345          High 0.701946510   0.702846582
## 346          High 1.782771203   1.791052657
## 347          High 0.375733966   0.374406203
## 348          High 0.443334638   0.450256145
## 349          High 1.870809287   1.879691988
## 350           Low 0.628843458   0.637031879
## 351          High 0.097470736   0.102030202
## 352          High 1.133490333   1.137337589
## 353          High 0.221667319   0.227074972
## 354           Low 0.479493137   0.486661585
## 355          High 0.525084287   0.524776497
## 356           Low 0.418180900   0.424930622
## 357          High 0.025153738   0.029219322
## 358           Low 1.389744042   1.395341357
## 359          High 0.260970035   0.266646102
## 360           Low 0.245248949   0.250817650
## 361          High 0.469274430   0.468585493
## 362           Low 0.411892465   0.410811643
## 363          High 0.289267991   0.287349717
## 364           Low 0.323854381   0.329959910
## 365          High 0.708234944   0.709177963
## 366           Low 0.039302716   0.035677331
## 367           Low 0.418180900   0.424930622
## 368           Low 0.479493137   0.486661585
## 369          High 1.262010215   1.266735184
## 370           Low 0.440190421   0.447090455
## 371          High 0.608406046   0.608667293
## 372          High 0.169787734   0.167053482
## 373          High 0.402459813   0.409102170
## 374           Low 0.323854381   0.329959910
## 375          High 0.575391764   0.583215142
## 376           Low 0.716881542   0.717883612
## 377          High 0.131271072   0.136061373
## 378           Low 0.053451694   0.049922938
## 379           Low 0.418180900   0.424930622
## 380           Low 0.462199942   0.461462689
## 381          High 0.040874825   0.045047774
## 382          High 0.323854381   0.329959910
## 383          High 0.025153738   0.029219322
## 384          High 0.682295152   0.683061017
## 385          High 0.147778213   0.144893650
## 386           Low 0.040874825   0.045047774
## 387          High 0.330142815   0.336291291
## 388           Low 0.009432652   0.013390870
## 389          High 0.953483893   0.956101814
## 390          High 0.418180900   0.424930622
## 391           Low 0.276691121   0.282474554
## 392           Low 0.144633995   0.141727959
## 393           Low 0.388310835   0.394856563
## 394          High 0.603689720   0.603918757
## 395          High 0.323854381   0.329959910
## 396          High 0.300272751   0.306217232
## 397           Low 0.418180900   0.424930622
## 398          High 0.653997196   0.662357402
## 399          High 0.603689720   0.603918757
## 400          High 0.323854381   0.329959910
## 401           Low 1.622416121   1.629602446
## 402          High 0.433901986   0.432971476
## 403          High 0.300272751   0.306217232
## 404          High 0.525084287   0.524776497
## 405           Low 0.638276110   0.646528950
## 406          High 0.304989077   0.303178169
## 407          High 2.883247255   2.899044296
## 408          High 0.210662558   0.208207457
## 409           Low 0.182364603   0.187503842
## 410          High 0.418180900   0.424930622
## 411           Low 0.839506016   0.841345537
## 412           Low 0.103759171   0.108361582
## 413           Low 0.418180900   0.424930622
## 414          High 0.985712120   0.988550141
## 415           Low 0.586396525   0.594295058
## 416          High 0.559670678   0.559599092
## 417          High 0.053451694   0.049922938
## 418          High 0.418180900   0.424930622
## 419           Low 0.966846817   0.969555998
## 420           Low 0.639848218   0.648111795
## 421           Low 0.257825818   0.263480412
## 422          High 0.323854381   0.329959910
## 423           Low 0.418180900   0.424930622
## 424          High 0.628843458   0.629244280
## 425           Low 0.958986273   0.961641772
## 426           Low 0.559670678   0.559599092
## 427           Low 1.153927745   1.157914577
## 428           Low 0.559670678   0.559599092
## 429           Low 0.481065245   0.488244430
## 430          High 0.210662558   0.208207457
## 431           Low 1.908539895   1.917680273
## 432          High 0.059740129   0.056254318
## 433           Low 0.496786332   0.504072882
## 434          High 0.418180900   0.424930622
## 435           Low 0.438618312   0.437720011
## 436          High 1.153927745   1.157914577
## 437           Low 0.099828899   0.104404469
## 438          High 0.411892465   0.410811643
## 439           Low 0.457483616   0.464501752
## 440           Low 0.245248949   0.250817650
## 441           Low 0.543949591   0.551558238
## 442          High 0.581680199   0.581758924
## 443           Low 0.323854381   0.329959910
## 444          High 2.309427599   2.321305798
## 445           Low 0.669718283   0.678185854
## 446          High 0.103759171   0.108361582
## 447          High 2.634854089   2.648954754
## 448           Low 0.553382243   0.553267711
## 449           Low 0.323854381   0.329959910
## 450          High 0.471632593   0.478747359
## 451          High 0.591112850   0.599043594
## 452          High 0.006288435   0.002437582
## 453           Low 0.103759171   0.108361582
## 454          High 0.009432652   0.013390870
## 455          High 0.262542144   0.268228947
## 456          High 0.353724445   0.360033969
## 457           Low 1.870809287   1.879691988
## 458          High 0.221667319   0.227074972
## 459           Low 0.099986110   0.104562754
## 460          High 0.399315596   0.398148881
## 461           Low 1.389744042   1.395341357
## 462          High 0.260970035   0.266646102
## 463           Low 0.605261828   0.605501602
## 464          High 0.399315596   0.398148881
## 465           Low 0.119480257   0.124190034
## 466           Low 0.669718283   0.678185854
## 467           Low 1.009293750   1.012292819
## 468          High 0.304989077   0.310965768
## 469          High 0.669718283   0.678185854
## 470           Low 0.682295152   0.683061017
## 471           Low 0.103759171   0.108361582
## 472          High 0.473990756   0.481121627
## 473           Low 0.575391764   0.583215142
## 474          High 0.957414165   0.960058927
## 475          High 0.226383645   0.231823508
## 476          High 0.496786332   0.504072882
## 477           Low 0.182364603   0.187503842
## 478          High 0.525084287   0.524776497
## 479          High 0.025153738   0.029219322
## 480          High 1.830720517   1.839329435
## 481           Low 0.247607112   0.245404320
## 482          High 0.236602351   0.234324403
## 483          High 0.182364603   0.179716244
## 484          High 0.399315596   0.398148881
## 485           Low 0.653997196   0.662357402
## 486          High 2.229250058   2.240580693
## 487           Low 0.298700643   0.296846789
## 488          High 0.028297956   0.032385013
## 489           Low 0.388310835   0.394856563
## 490          High 0.446478855   0.445634237
## 491           Low 0.263328198   0.269020370
## 492           Low 0.603689720   0.603918757
## 493           Low 0.103759171   0.108361582
## 494           Low 0.616266589   0.624369117
## 495           Low 0.608406046   0.608667293
## 496          High 0.169787734   0.167053482
## 497          High 0.418180900   0.424930622
## 498           Low 0.282979556   0.281018337
## 499           Low 0.367873423   0.366491977
## 500          High 1.153927745   1.157914577
## 501           Low 2.249687471   2.261157681
## 502           Low 0.090411968   0.087135628
## 503           Low 1.468349474   1.474483617
## 504          High 0.418180900   0.424930622
## 505           Low 0.182364603   0.187503842
## 506          High 0.575391764   0.583215142
## 507          High 0.653997196   0.662357402
## 508          High 1.405465128   1.411169809
## 509           Low 0.198085689   0.203332294
## 510           Low 0.011004761   0.014973716
## 511           Low 0.562893500   0.562843924
## 512          High 0.216950993   0.222326437
## 513           Low 0.298700643   0.296846789
## 514          High 1.208951548   1.213314159
## 515           Low 0.043390199   0.039792728
## 516          High 0.084893867   0.081579842
## 517          High 0.682295152   0.683061017
## 518          High 0.598973394   0.606957820
## 519          High 0.028297956   0.032385013
## 520          High 0.388310835   0.394856563
## 521           Low 1.939982068   1.949337176
## 522          High 0.304989077   0.303178169
## 523           Low 2.914689428   2.930701200
## 524          High 0.572247547   0.572261853
## 525          High 0.732602628   0.230937115
## 526          High 0.598973394   0.606957820
## 527           Low 0.737318954   0.738460599
## 528          High 0.638276110   0.646528950
## 529           Low 1.782771203   1.791052657
## 530          High 1.482325520   1.488555111
## 531           Low 0.010360196   0.006537151
## 532          High 1.862948744   1.871777762
## 533           Low 0.624127132   0.632283343
## 534          High 0.323854381   0.329959910
## 535           Low 0.575391764   0.583215142
## 536           Low 0.575391764   0.583215142
## 537           Low 0.260970035   0.266646102
## 538          High 0.254681600   0.252527123
## 539          High 1.348869217   1.354187382
## 540          High 0.512507418   0.519901334
## 541          High 0.581680199   0.581758924
## 542           Low 0.059740129   0.056254318
## 543           Low 1.857446364   1.866237804
## 544          High 0.418180900   0.424930622
## 545           Low 1.894390917   1.903434666
## 546           Low 0.474776811   0.474125451
## 547           Low 0.518795853   0.526232715
## 548           Low 0.996716881   0.999630057
## 549           Low 1.468349474   1.474483617
## 550           Low 0.103759171   0.108361582
## 551           Low 0.418180900   0.424930622
## 552           Low 0.103759171   0.108361582
## 553           Low 0.386738727   0.393273718
## 554          High 0.025153738   0.029219322
## 555          High 0.345235058   0.351486605
## 556           Low 1.468349474   1.474483617
## 557           Low 0.418180900   0.424930622
## 558          High 0.260970035   0.266646102
## 559           Low 1.056331241   1.059651547
## 560           Low 0.439875999   0.446773886
## 561           Low 1.152355637   1.156331732
## 562           Low 1.672723598   1.680253493
## 563           Low 0.025153738   0.029219322
## 564           Low 0.103759171   0.108361582
## 565           Low 0.339575467   0.345788362
## 566          High 0.839506016   0.841345537
## 567           Low 0.260970035   0.266646102
## 568           Low 0.559670678   0.559599092
## 569           Low 0.210662558   0.208207457
## 570          High 0.103759171   0.108361582
## 571          High 0.210662558   0.937582525
## 572          High 0.575391764   0.036183841
## 573          High 0.292412208   0.298303006
## 574           Low 0.886669276   0.888830893
## 575           Low 0.543949591   0.551558238
## 576          High 0.300272751   0.306217232
## 577           Low 1.495075321   1.501391985
## 578           Low 0.212234667   0.217577901
## 579           Low 1.133490333   1.137337589
## 580          High 0.608406046   0.608667293
## 581          High 0.169787734   0.167053482
## 582          High 0.465344159   0.472415978
## 583          High 0.336431250   0.334835073
## 584          High 1.133490333   1.137337589
## 585           Low 0.418180900   0.424930622
## 586          High 1.133490333   1.137337589
## 587           Low 0.025153738   0.021431724
## 588           Low 0.050087381   0.054323247
## 589           Low 0.050087381   0.054323247
## 590          High 1.767050117   1.775224205
## 591          High 0.006288435   0.002437582
## 592          High 0.281407447   0.279435491
## 593           Low 0.053451694   0.049922938
## 594           Low 0.257825818   0.263480412
## 595           Low 0.150922430   0.155846938
## 596          High 0.753040041   0.754289051
## 597           Low 1.586257623   1.593197007
## 598          High 0.292412208   0.298303006
## 599          High 0.496786332   0.504072882
## 600           Low 0.682295152   0.683061017
## 601           Low 0.103759171   0.108361582
## 602          High 0.528228505   0.535729786
## 603          High 1.059601227   1.062943865
## 604          High 0.210662558   0.208207457
## 605           Low 0.438618312   0.437720011
## 606          High 0.653997196   0.662357402
## 607          High 0.462199942   0.461462689
## 608           Low 0.040874825   0.045047774
## 609           Low 2.160077278   2.170935504
## 610           Low 0.433901986   0.440759074
## 611           Low 2.883247255   2.899044296
## 612           Low 0.210662558   0.208207457
## 613           Low 1.394460368   1.400089892
## 614          High 0.048735368   0.052962000
## 615           Low 0.682295152   0.683061017
## 616          High 0.147778213   0.144893650
## 617          High 1.043880140   1.047115413
## 618          High 0.228899019   0.234356060
## 619          High 0.745179498   0.746374825
## 620          High 0.135201343   0.140018486
## 621          High 0.355296554   0.361616814
## 622           Low 1.136634550   1.140503280
## 623           Low 0.165385829   0.170409114
## 624          High 1.924260981   1.933508724
## 625           Low 0.236602351   0.234324403
## 626           Low 0.653997196   0.662357402
## 627           Low 0.418180900   0.424930622
## 628          High 0.418180900   0.424930622
## 629           Low 0.496786332   0.504072882
## 630          High 0.254681600   0.252527123
## 631           Low 0.540805374   0.540604949
## 632          High 1.138206659   1.142086125
## 633          High 0.496786332   0.504072882
## 634           Low 0.954269947   0.956893237
## 635           Low 0.446478855   0.445634237
## 636          High 0.060526183   0.064833339
## 637           Low 0.966846817   0.969555998
## 638          High 0.639848218   0.648111795
## 639          High 0.320710164   0.319006621
## 640          High 0.954269947   0.956893237
## 641           Low 1.782771203   1.791052657
## 642           Low 1.782771203   1.791052657
## 643           Low 0.119480257   0.124190034
## 644           Low 0.158940184   0.163919449
## 645           Low 0.132057126   0.129065198
## 646          High 0.673648554   0.682142967
## 647           Low 0.103759171   0.108361582
## 648          High 0.386738727   0.393273718
## 649          High 0.194941472   0.192379005
## 650           Low 0.159726238   0.156923273
## 651           Low 2.160077278   2.170935504
## 652          High 0.433901986   0.440759074
## 653           Low 0.556526460   0.556433401
## 654           Low 0.433901986   0.440759074
## 655           Low 0.182364603   0.187503842
## 656          High 0.575391764   0.583215142
## 657           Low 0.525084287   0.524776497
## 658          High 0.300272751   0.306217232
## 659           Low 0.575391764   0.583215142
## 660          High 0.575391764   0.583215142
## 661          High 0.011004761   0.014973716
## 662          High 0.996716881   0.999630057
## 663          High 0.556526460   0.556433401
## 664           Low 0.653997196   0.662357402
## 665          High 0.575391764   0.583215142
## 666          High 0.281407447   0.279435491
## 667          High 1.735607944   1.743567301
## 668          High 0.613122371   0.621203427
## 669          High 0.954269947   0.956893237
## 670           Low 0.190225146   0.195418068
## 671          High 0.635131893   0.635575661
## 672           Low 0.025153738   0.029219322
## 673          High 0.682295152   0.683061017
## 674           Low 0.418180900   0.424930622
## 675           Low 0.025153738   0.029219322
## 676           Low 0.575391764   0.583215142
## 677          High 0.025153738   0.029219322
## 678           Low 0.344291793   0.342749299
## 679          High 0.339575467   0.345788362
## 680           Low 0.025153738   0.029219322
## 681          High 0.575391764   0.583215142
## 682           Low 0.682295152   0.683061017
## 683          High 0.147778213   0.144893650
## 684           Low 0.254681600   0.252527123
## 685          High 0.462199942   0.461462689
## 686           Low 0.040874825   0.045047774
## 687          High 0.402066786   0.400918860
## 688           Low 0.481065245   0.488244430
## 689          High 0.040874825   0.045047774
## 690           Low 0.053451694   0.049922938
## 691          High 0.176107610   0.173416520
## 692          High 0.473943593   0.481074141
## 693          High 1.908539895   1.917680273
## 694           Low 0.669718283   0.678185854
## 695          High 0.229527862   0.234989198
## 696          High 0.025153738   0.029219322
## 697          High 0.575391764   0.583215142
## 698           Low 0.512507418   0.519901334
## 699           Low 0.103759171   0.108361582
## 700           Low 0.642992436   0.643489887
## 701           Low 0.614694480   0.622786272
## 702           Low 0.575391764   0.583215142
## 703          High 0.525084287   0.524776497
## 704          High 0.103759171   0.108361582
## 705           Low 2.280186378   2.291864878
## 706           Low 1.275294533   1.280110226
## 707           Low 0.053451694   0.049922938
## 708           Low 0.418180900   0.424930622
## 709           Low 0.575391764   0.583215142
## 710           Low 0.226383645   0.231823508
## 711           Low 0.996716881   0.999630057
## 712           Low 0.135201343   0.140018486
## 713          High 0.339575467   0.345788362
## 714           Low 0.254681600   0.252527123
## 715          High 0.496786332   0.504072882
## 716          High 1.468349474   1.474483617
## 717           Low 0.210662558   0.208207457
## 718           Low 0.040874825   0.045047774
## 719          High 0.254681600   0.252527123
## 720           Low 1.625560339   1.632768137
## 721          High 0.210662558   0.215995056
## 722           Low 0.760900584   0.762203277
## 723          High 0.273546904   0.271521265
## 724           Low 1.782771203   1.791052657
## 725          High 0.556526460   0.556433401
## 726          High 0.418180900   0.424930622
## 727          High 0.304989077   0.303178169
## 728          High 0.496786332   0.504072882
## 729          High 1.586257623   1.593197007
## 730           Low 0.407176139   0.406063107
## 731          High 0.053876163   0.050350306
## 732           Low 0.543603727   0.551210012
## 733          High 0.996716881   0.999630057
## 734           Low 0.179220386   0.176550554
## 735          High 0.040874825   0.045047774
## 736           Low 0.653997196   0.662357402
## 737          High 0.249965275   0.255566186
## 738          High 0.040874825   0.045047774
## 739           Low 1.468349474   1.474483617
## 740           Low 0.210662558   0.208207457
## 741          High 0.025153738   0.029219322
## 742           Low 0.525084287   0.524776497
## 743          High 0.025153738   0.029219322
## 744           Low 0.575391764   0.583215142
## 745           Low 1.782771203   2.885115258
## 746           Low 0.575391764   0.583215142
## 747          High 0.575391764   0.583215142
## 748           Low 0.053451694   0.049922938
## 749          High 0.260970035   0.266646102
## 750           Low 0.575391764   0.583215142
## 751           Low 0.040874825   0.045047774
## 752           Low 0.116336040   0.113236746
## 753          High 0.182364603   0.187503842
## 754           Low 0.025153738   0.029219322
## 755          High 0.418180900   0.424930622
## 756          High 0.025153738   0.029219322
## 757          High 1.059601227   1.062943865
## 758          High 0.210662558   0.208207457
## 759          High 0.418180900   0.424930622
## 760           Low 0.496990706   0.496491054
## 761          High 0.126743399   0.131502779
## 762           Low 0.559670678   0.559599092
## 763          High 2.034308586   2.044307888
## 764          High 0.242104731   0.239864361
## 765          High 0.559670678   0.559599092
## 766           Low 0.049521422   0.045965825
## 767          High 0.386738727   0.393273718
## 768           Low 0.257825818   0.263480412
## 769          High 0.254681600   0.252527123
## 770           Low 1.011557586   1.014572116
## 771           Low 0.294267296   0.292383165
## 772           Low 0.496786332   0.504072882
## 773          High 0.496990706   0.496491054
## 774          High 0.126743399   0.131502779
## 775          High 0.839506016   0.841345537
## 776           Low 0.367873423   0.374279576
## 777          High 1.135062442   1.138920435
## 778          High 0.198085689   0.195544696
## 779           Low 0.456304534   0.455527020
## 780           Low 0.428006579   0.434823405
## 781          High 0.496786332   0.504072882
## 782          High 0.260970035   0.266646102
## 783          High 0.745179498   0.746374825
## 784           Low 0.336431250   0.334835073
## 785          High 0.257825818   0.255692813
## 786           Low 1.348869217   1.354187382
## 787           Low 1.499791647   1.506140521
## 788           Low 0.336431250   0.334835073
## 789           Low 0.383594509   0.382320429
## 790           Low 0.025153738   0.029219322
## 791           Low 0.428399606   0.435219116
## 792           Low 1.185369918   1.189571481
## 793          High 0.918111449   0.920487797
## 794           Low 0.053451694   0.049922938
## 795          High 0.575391764   0.583215142
## 796          High 0.292695187   0.290800320
## 797           Low 0.025153738   0.029219322
## 798           Low 0.418180900   0.424930622
## 799           Low 1.223100526   1.227559766
## 800           Low 0.161927190   0.166926855
## 801          High 0.418180900   0.424930622
## 802          High 1.389744042   1.395341357
## 803          High 0.182364603   0.187503842
## 804           Low 0.575391764   0.583215142
## 805          High 0.367873423   0.366491977
## 806          High 0.103759171   0.108361582
## 807           Low 0.367873423   0.366491977
## 808           Low 0.496786332   0.504072882
## 809          High 0.268830578   0.274560328
## 810           Low 0.630415567   0.630827126
## 811          High 1.447912062   1.453906629
## 812          High 0.429185660   0.436010539
## 813          High 0.103759171   0.108361582
## 814          High 1.740324270   1.748315836
## 815          High 0.182364603   0.179716244
## 816           Low 0.281407447   0.279435491
## 817          High 1.163360397   1.167411648
## 818          High 0.253109492   0.258731876
## 819           Low 0.444466556   0.443608195
## 820           Low 0.003867387   0.000000000
## 821          High 0.583252307   0.591129368
## 822          High 0.386738727   0.393273718
## 823          High 1.468349474   1.474483617
## 824           Low 0.060526183   0.064833339
## 825          High 0.411892465   0.410811643
## 826          High 0.147778213   0.144893650
## 827          High 0.025153738   0.029219322
## 828          High 0.100614953   0.097408294
## 829          High 0.918111449   0.920487797
## 830           Low 0.025153738   0.029219322
## 831           Low 0.512507418   0.519901334
## 832           Low 0.996716881   0.999630057
## 833          High 0.603689720   0.603918757
## 834           Low 0.289267991   0.287349717
## 835          High 0.300272751   0.306217232
## 836           Low 0.251537383   0.249361433
## 837          High 0.279835339   0.285640245
## 838           Low 0.355296554   0.361616814
## 839          High 0.839506016   0.841345537
## 840           Low 0.525084287   0.524776497
## 841          High 0.292412208   0.298303006
## 842           Low 0.011004761   0.014973716
## 843          High 1.740324270   1.748315836
## 844           Low 0.182364603   0.179716244
## 845          High 0.053451694   0.049922938
## 846           Low 0.481065245   0.488244430
## 847          High 0.289267991   0.287349717
## 848           Low 0.543949591   0.551558238
## 849          High 0.155638756   0.152807876
## 850           Low 1.153927745   1.157914577
## 851          High 0.084893867   0.081579842
## 852          High 0.462199942   0.461462689
## 853          High 0.040874825   0.045047774
## 854           Low 0.084893867   0.081579842
## 855          High 0.355296554   0.361616814
## 856           Low 0.646136653   0.646655578
## 857          High 0.499364590   0.506668748
## 858           Low 0.418180900   0.424930622
## 859           Low 0.292412208   0.298303006
## 860           Low 1.546954907   1.553625877
## 861          High 0.053451694   0.049922938
## 862           Low 3.433485280   3.453040116
## 863           Low 1.311138610   1.316199097
## 864           Low 0.435474095   0.434554321
## 865          High 0.653997196   0.662357402
## 866           Low 0.124196583   0.121150972
## 867          High 1.704165771   1.711910397
## 868           Low 0.146206104   0.151098403
## 869          High 0.559670678   0.559599092
## 870           Low 0.084893867   0.081579842
## 871           Low 0.355296554   0.361616814
## 872           Low 0.525084287   0.524776497
## 873           Low 0.006288435   0.002437582
## 874           Low 2.619133002   2.633126302
## 875          High 0.985712120   0.988550141
## 876          High 0.438618312   0.437720011
## 877          High 0.518795853   0.526232715
## 878           Low 0.525084287   0.524776497
## 879          High 0.371017640   0.377445266
## 880           Low 0.292412208   0.298303006
## 881           Low 1.782771203   1.791052657
## 882           Low 0.182364603   0.187503842
## 883           Low 0.355296554   0.361616814
## 884           Low 1.782771203   1.791052657
## 885          High 0.383594509   0.382320429
## 886          High 1.405465128   1.411169809
## 887          High 0.040874825   0.045047774
## 888           Low 0.308133294   0.314131458
## 889          High 0.575391764   0.583215142
## 890          High 0.669718283   0.678185854
## 891          High 0.653997196   0.662357402
## 892           Low 0.402459813   0.409102170
## 893          High 0.173497910   0.178576595
## 894           Low 0.656292475   0.664668356
## 895          High 0.603689720   0.603918757
## 896           Low 0.323854381   0.329959910
## 897          High 0.053451694   0.049922938
## 898          High 0.575391764   0.583215142
## 899           Low 0.603689720   0.603918757
## 900           Low 0.323854381   0.329959910
## 901           Low 0.554954352   0.562638154
## 902           Low 0.053451694   0.049922938
## 903           Low 0.543949591   0.551558238
## 904           Low 0.251537383   0.249361433
## 905          High 0.279835339   0.285640245
## 906           Low 0.053451694   0.049922938
## 907           Low 0.575391764   0.583215142
## 908           Low 0.103759171   0.108361582
## 909          High 0.278263230   0.276269801
## 910          High 1.499791647   1.506140521
## 911          High 0.336431250   0.334835073
## 912          High 0.025153738   0.029219322
## 913           Low 0.839506016   0.841345537
## 914           Low 0.465344159   0.472415978
## 915           Low 0.411892465   0.410811643
## 916           Low 0.056595911   0.060876226
## 917          High 0.622555023   0.630700498
## 918           Low 0.276691121   0.282474554
## 919          High 0.367873423   0.366491977
## 920           Low 0.418180900   0.424930622
## 921          High 0.100614953   0.097408294
## 922          High 0.292412208   0.298303006
## 923           Low 0.512507418   0.519901334
## 924           Low 0.103759171   0.108361582
## 925           Low 0.418180900   0.424930622
## 926           Low 1.389744042   1.395341357
## 927          High 0.886669276   0.888830893
## 928           Low 0.446478855   0.445634237
## 929           Low 0.418180900   0.424930622
## 930           Low 0.190225146   0.195418068
## 931          High 0.653997196   0.662357402
## 932           Low 1.153927745   1.157914577
## 933          High 0.418180900   0.424930622
## 934          High 0.242104731   0.239864361
## 935          High 0.996716881   0.999630057
## 936          High 0.273546904   0.271521265
## 937          High 0.646136653   0.654443176
## 938           Low 0.304989077   0.303178169
## 939          High 0.180792494   0.185920997
## 940          High 0.053451694   0.049922938
## 941          High 0.418180900   0.424930622
## 942           Low 0.512507418   0.519901334
## 943          High 0.477921028   0.477291141
## 944           Low 0.084893867   0.081579842
## 945          High 0.260970035   0.266646102
## 946          High 2.568825526   2.582475256
## 947          High 0.292412208   0.298303006
## 948           Low 0.759328475   0.760620432
## 949          High 3.119063551   3.136471076
## 950           Low 0.918111449   0.920487797
## 951          High 1.075322313   1.078772317
## 952          High 1.075322313   1.078772317
## 953           Low 0.257825818   0.263480412
## 954           Low 0.257825818   0.263480412
## 955          High 0.249965275   0.247778587
## 956          High 0.143061887   0.147932712
## 957           Low 1.908539895   1.917680273
## 958          High 0.669718283   0.678185854
## 959           Low 1.782771203   1.791052657
## 960          High 0.575391764   0.583215142
## 961           Low 0.559670678   0.559599092
## 962          High 0.653997196   0.662357402
## 963           Low 0.496786332   0.504072882
## 964          High 0.839506016   0.841345537
## 965           Low 0.103759171   0.108361582
## 966           Low 0.257825818   0.263480412
## 967           Low 0.367873423   0.366491977
## 968          High 0.339575467   0.345788362
## 969          High 1.782771203   1.791052657
## 970          High 0.575391764   0.583215142
## 971          High 1.782771203   1.791052657
## 972           Low 0.575391764   0.583215142
## 973           Low 0.411892465   0.410811643
## 974           Low 0.424469334   0.423474405
## 975           Low 0.682295152   0.683061017
## 976           Low 0.528228505   0.535729786
## 977           Low 1.908539895   1.917680273
## 978          High 0.059740129   0.056254318
## 979          High 0.273546904   0.271521265
## 980          High 0.996716881   0.999630057
## 981          High 3.119063551   3.136471076
## 982          High 1.939982068   1.949337176
## 983           Low 0.449623072   0.456587526
## 984          High 3.119063551   3.136471076
## 985          High 1.939982068   1.949337176
## 986          High 0.954269947   0.956893237
## 987           Low 0.839506016   0.841345537
## 988          High 0.103759171   0.108361582
## 989           Low 0.367873423   0.366491977
## 990          High 0.339575467   0.345788362
## 991           Low 0.257825818   0.263480412
## 992           Low 0.559670678   0.559599092
## 993           Low 0.276691121   0.282474554
## 994          High 1.782771203   2.885115258
## 995           Low 0.575391764   0.583215142
## 996          High 1.877097722   1.886023369
## 997          High 0.273546904   0.271521265
## 998          High 0.011004761   0.014973716
## 999          High 0.281407447   0.279435491
## 1000          Low 1.782771203   2.885115258
## 1001          Low 1.311138610   1.316199097
## 1002         High 0.210662558   0.208207457
## 1003         High 0.281407447   0.279435491
## 1004         High 0.031442173   0.027763105
## 1005          Low 0.682295152   0.683061017
## 1006          Low 0.418180900   0.424930622
## 1007          Low 0.954269947   0.956893237
## 1008          Low 2.726036390   2.740759776
## 1009          Low 0.839506016   0.841345537
## 1010         High 0.438618312   0.437720011
## 1011         High 0.885427310   0.887580445
## 1012         High 0.260262586   0.265933822
## 1013          Low 0.603689720   0.603918757
## 1014         High 0.182364603   0.187503842
## 1015         High 0.103759171   0.108361582
## 1016          Low 0.386738727   0.393273718
## 1017          Low 0.182364603   0.187503842
## 1018         High 0.473990756   0.481121627
## 1019          Low 0.918111449   0.920487797
## 1020         High 0.025153738   0.029219322
## 1021         High 0.438618312   0.437720011
## 1022         High 0.499930549   0.507238573
## 1023          Low 0.125768692   0.130521415
## 1024         High 0.966846817   0.969555998
## 1025          Low 0.639848218   0.648111795
## 1026         High 0.326133938   0.324467437
## 1027          Low 0.099042845   0.103613047
## 1028         High 0.210662558   0.208207457
## 1029         High 0.289267991   0.287349717
## 1030         High 0.300272751   0.306217232
## 1031         High 0.651560428   0.652116394
## 1032         High 0.183936711   0.181299089
## 1033         High 0.575391764   0.583215142
## 1034         High 0.124196583   0.121150972
## 1035          Low 0.581711641   0.581790581
## 1036          Low 0.677264404   0.685783511
## 1037          Low 0.103759171   0.108361582
## 1038          Low 0.103759171   0.108361582
## 1039          Low 0.386738727   0.393273718
## 1040         High 0.025153738   0.029219322
## 1041          Low 0.438618312   0.437720011
## 1042          Low 0.512507418   0.519901334
## 1043          Low 0.260970035   0.266646102
## 1044         High 1.721458966   1.729321694
## 1045         High 0.661857739   0.670271628
## 1046         High 0.525084287   0.524776497
## 1047          Low 0.006288435   0.002437582
## 1048         High 0.367873423   0.366491977
## 1049         High 0.339575467   0.345788362
## 1050         High 0.229527862   0.234989198
## 1051         High 0.996716881   0.999630057
## 1052          Low 0.053451694   0.049922938
## 1053          Low 0.918111449   0.920487797
## 1054         High 0.918111449   0.920487797
## 1055          Low 0.759328475   0.760620432
## 1056         High 0.496786332   0.504072882
## 1057          Low 0.229527862   0.234989198
## 1058         High 0.300272751   0.306217232
## 1059          Low 0.575391764   0.583215142
## 1060         High 0.653997196   0.662357402
## 1061          Low 2.254403797   2.265906216
## 1062          Low 0.022009521   0.018266034
## 1063          Low 0.808063843   0.809688633
## 1064         High 0.481065245   0.488244430
## 1065          Low 0.653997196   0.662357402
## 1066         High 0.732602628   0.230937115
## 1067          Low 1.740324270   1.748315836
## 1068         High 0.182364603   0.179716244
## 1069          Low 1.296989632   1.301953490
## 1070         High 0.525084287   0.524776497
## 1071          Low 0.575391764   0.583215142
## 1072          Low 1.043722929   1.046957128
## 1073          Low 0.384066142   0.390582881
## 1074          Low 1.153927745   1.157914577
## 1075          Low 0.760900584   0.762203277
## 1076         High 0.281407447   0.279435491
## 1077          Low 0.053451694   0.049922938
## 1078          Low 0.653997196   0.662357402
## 1079          Low 0.411892465   0.410811643
## 1080         High 0.182364603   0.187503842
## 1081         High 0.124526726   0.121483369
## 1082          Low 0.153469246   0.158411148
## 1083          Low 0.210662558   0.208207457
## 1084          Low 0.260970035   0.266646102
## 1085          Low 0.081199412   0.077860155
## 1086         High 0.808063843   0.809688633
## 1087         High 0.481065245   0.488244430
## 1088         High 0.191797255   0.189213315
## 1089          Low 0.499930549   0.507238573
## 1090         High 1.782771203   1.791052657
## 1091          Low 0.210662558   0.208207457
## 1092         High 0.496786332   0.504072882
## 1093         High 0.119480257   0.124190034
## 1094         High 0.103759171   0.108361582
## 1095          Low 0.540805374   0.540604949
## 1096         High 0.103759171   0.108361582
## 1097         High 0.559670678   0.559599092
## 1098         High 1.389744042   1.395341357
## 1099          Low 0.260970035   0.266646102
## 1100         High 0.734174737   0.735294909
## 1101          Low 0.488925789   0.496158656
## 1102          Low 0.559670678   0.559599092
## 1103          Low 0.100614953   0.097408294
## 1104          Low 1.877097722   1.886023369
## 1105          Low 0.103759171   0.108361582
## 1106          Low 0.411892465   0.410811643
## 1107          Low 0.808063843   0.809688633
## 1108         High 0.166643516   0.171675390
## 1109         High 0.308133294   0.314131458
## 1110         High 0.575391764   0.583215142
## 1111          Low 0.411892465   0.410811643
## 1112          Low 1.877097722   1.886023369
## 1113          Low 0.273546904   0.271521265
## 1114         High 0.339575467   0.345788362
## 1115         High 0.210662558   0.208207457
## 1116         High 0.182364603   0.187503842
## 1117          Low 0.025153738   0.029219322
## 1118          Low 0.095678532   0.100225758
## 1119          Low 0.210662558   0.208207457
## 1120         High 0.575391764   0.583215142
## 1121         High 0.343505739   0.341957877
## 1122         High 0.550238026   0.557889619
## 1123          Low 2.160077278   2.170935504
## 1124         High 0.433901986   0.440759074
## 1125          Low 0.496786332   0.504072882
## 1126          Low 0.576177818   0.576218966
## 1127          Low 0.476741947   0.483891606
## 1128          Low 0.525084287   0.524776497
## 1129          Low 0.418180900   0.424930622
## 1130          Low 0.292412208   0.298303006
## 1131          Low 0.918111449   0.920487797
## 1132         High 0.025153738   0.029219322
## 1133         High 0.355296554   0.361616814
## 1134         High 1.311138610   1.316199097
## 1135          Low 0.716881542   0.717883612
## 1136          Low 2.883247255   2.899044296
## 1137          Low 0.525084287   0.524776497
## 1138          Low 0.496786332   0.504072882
## 1139          Low 0.132057126   0.136852796
## 1140         High 0.996716881   0.999630057
## 1141         High 0.273546904   0.271521265
## 1142         High 0.575391764   0.583215142
## 1143         High 0.996716881   0.999630057
## 1144         High 1.468349474   1.474483617
## 1145          Low 0.839506016   0.841345537
## 1146          Low 0.462199942   0.461462689
## 1147          Low 0.040874825   0.045047774
## 1148          Low 0.084893867   0.081579842
## 1149          Low 0.355296554   0.361616814
## 1150         High 0.525084287   0.524776497
## 1151         High 0.418180900   0.424930622
## 1152         High 0.603689720   0.603918757
## 1153          Low 0.474776811   0.481913049
## 1154          Low 1.740324270   1.748315836
## 1155          Low 0.182364603   0.179716244
## 1156          Low 0.084893867   0.081579842
## 1157         High 0.355296554   0.361616814
## 1158          Low 0.292412208   0.298303006
## 1159         High 0.281407447   0.279435491
## 1160          Low 1.050640207   1.053921647
## 1161         High 0.411578043   0.410495074
## 1162          Low 0.053451694   0.049922938
## 1163          Low 0.543949591   0.551558238
## 1164          Low 1.245110047   1.249719598
## 1165         High 0.331714924   0.337874136
## 1166         High 0.100614953   0.097408294
## 1167         High 0.103759171   0.108361582
## 1168          Low 0.575391764   0.583215142
## 1169         High 0.103759171   0.108361582
## 1170          Low 0.559670678   0.559599092
## 1171          Low 1.059601227   1.062943865
## 1172          Low 0.210662558   0.208207457
## 1173         High 1.153927745   1.157914577
## 1174         High 0.084893867   0.081579842
## 1175         High 1.347139898   1.352446252
## 1176         High 0.270811435   0.276554713
## 1177          Low 0.132057126   0.129065198
## 1178          Low 0.281407447   0.279435491
## 1179          Low 0.080177541   0.084618904
## 1180          Low 0.281407447   0.279435491
## 1181         High 0.103759171   0.108361582
## 1182         High 0.386738727   0.393273718
## 1183          Low 0.575391764   0.583215142
## 1184          Low 1.004577424   1.007544283
## 1185         High 0.314421729   0.320462839
## 1186         High 0.957414165   0.960058927
## 1187         High 0.226383645   0.231823508
## 1188          Low 0.957414165   0.960058927
## 1189         High 0.226383645   0.231823508
## 1190          Low 0.576806662   0.576852104
## 1191         High 0.628843458   0.629244280
## 1192          Low 0.281407447   0.279435491
## 1193          Low 0.525084287   0.524776497
## 1194          Low 0.282979556   0.281018337
## 1195         High 0.023581630   0.027636477
## 1196          Low 0.103759171   0.108361582
## 1197         High 0.575391764   0.583215142
## 1198          Low 1.153927745   1.157914577
## 1199          Low 0.418180900   0.424930622
## 1200         High 0.575391764   0.583215142
## 1201         High 0.285337719   0.283392604
## 1202         High 0.519581907   0.527024137
## 1203          Low 0.575391764   0.583215142
## 1204         High 0.575391764   0.583215142
## 1205         High 0.210662558   0.208207457
## 1206         High 0.682295152   0.683061017
## 1207          Low 0.182364603   0.187503842
## 1208          Low 0.575391764   0.583215142
## 1209          Low 0.330315747   0.328677806
## 1210         High 0.182364603   0.187503842
## 1211         High 0.260970035   0.266646102
## 1212         High 0.661857739   0.670271628
## 1213          Low 0.281407447   0.279435491
## 1214          Low 1.080981904   1.084470560
## 1215          Low 0.411892465   0.410811643
## 1216          Low 0.260970035   0.266646102
## 1217          Low 1.784421917   1.792714644
## 1218         High 0.558255780   0.565962129
## 1219          Low 0.487353680   0.486788213
## 1220          Low 0.653997196   0.662357402
## 1221          Low 0.025153738   0.029219322
## 1222         High 0.367873423   0.366491977
## 1223         High 0.996716881   0.999630057
## 1224         High 0.207518341   0.212829365
## 1225         High 0.446478855   0.445634237
## 1226          Low 0.528228505   0.535729786
## 1227          Low 0.245248949   0.372791701
## 1228          Low 1.047024357   0.620443661
## 1229          Low 0.242104731   0.239864361
## 1230         High 0.011004761   0.014973716
## 1231         High 0.281407447   0.279435491
## 1232         High 2.034308586   2.044307888
## 1233         High 0.242104731   0.239864361
## 1234         High 2.254403797   2.265906216
## 1235         High 0.022009521   0.018266034
## 1236         High 0.053451694   0.049922938
## 1237         High 0.260970035   0.266646102
## 1238         High 0.103759171   0.108361582
## 1239         High 0.386738727   0.393273718
## 1240         High 0.575391764   0.583215142
## 1241          Low 0.653997196   0.662357402
## 1242          Low 0.653997196   0.662357402
## 1243          Low 0.281407447   0.279435491
## 1244          Low 0.575391764   0.583215142
## 1245          Low 0.957414165   0.960058927
## 1246          Low 0.226383645   0.231823508
## 1247          Low 2.246543253   2.257991990
## 1248         High 1.304850175   1.309867716
## 1249         High 0.603689720   0.603918757
## 1250          Low 0.474776811   0.481913049
## 1251          Low 0.053451694   0.049922938
## 1252          Low 0.260970035   0.266646102
## 1253          Low 0.011004761   0.014973716
## 1254         High 0.281407447   0.279435491
## 1255          Low 0.281407447   0.279435491
## 1256         High 0.638276110   0.646528950
## 1257          Low 0.620982915   0.629117653
## 1258          Low 1.106764486   1.110429221
## 1259          Low 0.163499299   0.160722102
## 1260          Low 0.496786332   0.504072882
## 1261          Low 1.004577424   1.007544283
## 1262         High 0.314421729   0.320462839
## 1263          Low 0.190225146   0.195418068
## 1264         High 0.210662558   0.937582525
## 1265          Low 0.575391764   0.036183841
## 1266          Low 1.153927745   1.157914577
## 1267          Low 0.603689720   0.603918757
## 1268          Low 0.628843458   0.629244280
## 1269          Low 0.282979556   0.281018337
## 1270         High 2.411614661   2.424190736
## 1271          Low 0.399315596   0.398148881
## 1272         High 0.424469334   0.423474405
## 1273          Low 0.518795853   0.526232715
## 1274         High 1.924260981   1.933508724
## 1275          Low 0.628843458   0.629244280
## 1276         High 1.830720517   1.839329435
## 1277          Low 0.247607112   0.245404320
## 1278         High 0.025153738   0.029219322
## 1279          Low 0.334859141   0.333252228
## 1280          Low 0.443334638   0.450256145
## 1281          Low 1.830720517   1.839329435
## 1282         High 0.247607112   0.245404320
## 1283          Low 3.119063551   3.136471076
## 1284         High 0.210662558   0.208207457
## 1285          Low 0.859943429   0.861922525
## 1286         High 0.398513820   0.397341630
## 1287         High 0.226383645   0.231823508
## 1288         High 1.043880140   1.047115413
## 1289         High 0.839506016   0.841345537
## 1290         High 2.254403797   2.265906216
## 1291          Low 0.273546904   0.271521265
## 1292          Low 0.103759171   0.108361582
## 1293          Low 0.418180900   0.424930622
## 1294         High 0.110047605   0.106905365
## 1295          Low 0.611550263   0.611832983
## 1296          Low 2.225052528   2.236354496
## 1297         High 0.505511535   0.505070075
## 1298          Low 1.009765383   1.012767672
## 1299         High 0.679622567   0.688157779
## 1300          Low 1.153927745   1.157914577
## 1301          Low 0.418180900   0.424930622
## 1302          Low 0.265686361   0.263607039
## 1303          Low 0.315993838   0.322045684
## 1304          Low 0.103759171   0.108361582
## 1305         High 0.386738727   0.393273718
## 1306         High 0.653997196   0.662357402
## 1307         High 0.097470736   0.102030202
## 1308         High 0.601331557   0.609332088
## 1309         High 0.456697561   0.463710330
## 1310         High 1.924260981   1.933508724
## 1311         High 0.092754410   0.089494068
## 1312         High 0.653997196   0.662357402
## 1313          Low 0.281407447   0.279435491
## 1314          Low 0.053451694   0.049922938
## 1315         High 0.260970035   0.266646102
## 1316         High 0.496786332   0.504072882
## 1317         High 0.281407447   0.279435491
## 1318         High 0.260970035   0.266646102
## 1319         High 0.666574065   0.667232565
## 1320         High 0.084893867   0.081579842
## 1321          Low 0.355296554   0.361616814
## 1322          Low 0.080177541   0.084618904
## 1323          Low 0.584824416   0.584924615
## 1324          Low 0.227955754   0.233406353
## 1325          Low 1.135062442   1.138920435
## 1326          Low 0.198085689   0.195544696
## 1327         High 0.025153738   0.029219322
## 1328          Low 0.606833937   0.614872046
## 1329         High 0.110047605   0.106905365
## 1330          Low 0.170573788   0.175632503
## 1331         High 1.113052921   1.116760602
## 1332          Low 0.108475496   0.105322520
## 1333         High 0.664310229   0.664953268
## 1334          Low 0.661228896   0.669638490
## 1335          Low 0.260970035   0.266646102
## 1336          Low 0.496786332   0.504072882
## 1337         High 0.260970035   0.266646102
## 1338          Low 0.565959112   0.573718071
## 1339         High 0.166643516   0.171675390
## 1340         High 0.543949591   0.551558238
## 1341         High 0.210662558   0.208207457
## 1342          Low 0.603689720   0.603918757
## 1343         High 0.217611279   0.222991232
## 1344          Low 0.918111449   0.920487797
## 1345         High 0.131931357   0.128938570
## 1346          Low 0.427613551   0.426640095
## 1347         High 0.099042845   0.103613047
## 1348          Low 0.653997196   0.662357402
## 1349         High 2.969713230   2.986100782
## 1350          Low 1.001433207   1.004378593
## 1351         High 1.004577424   1.007544283
## 1352          Low 0.314421729   0.320462839
## 1353          Low 1.189598890   1.193829335
## 1354          Low 0.694824858   0.695676293
## 1355          Low 0.620982915   0.629117653
## 1356          Low 0.025153738   0.029219322
## 1357          Low 0.653997196   0.662357402
## 1358          Low 0.132057126   0.129065198
## 1359         High 0.496786332   0.504072882
## 1360          Low 0.025153738   0.029219322
## 1361          Low 0.653997196   0.662357402
## 1362          Low 0.435474095   0.442341919
## 1363         High 0.358440771   0.364782505
## 1364         High 0.603689720   0.603918757
## 1365         High 0.298700643   0.296846789
## 1366         High 0.462624411   0.461890058
## 1367         High 1.930549416   1.939840105
## 1368         High 0.432329877   0.439176229
## 1369          Low 0.192583309   0.197792336
## 1370          Low 0.628843458   0.629244280
## 1371         High 0.103759171   0.108361582
## 1372          Low 0.386738727   0.393273718
## 1373         High 1.185369918   1.189571481
## 1374         High 0.009432652   0.013390870
## 1375          Low 0.025153738   0.029219322
## 1376          Low 0.182364603   0.187503842
## 1377         High 0.716881542   0.717883612
## 1378         High 1.279696437   1.284542193
## 1379          Low 0.523512179   0.530981250
## 1380          Low 0.462199942   0.461462689
## 1381          Low 0.040874825   0.045047774
## 1382          Low 0.053451694   0.049922938
## 1383          Low 0.653997196   0.662357402
## 1384          Low 0.496786332   0.504072882
## 1385         High 0.619410806   0.619747209
## 1386         High 0.418180900   0.424930622
## 1387         High 0.191797255   0.189213315
## 1388          Low 0.682295152   0.683061017
## 1389         High 0.147778213   0.144893650
## 1390         High 0.080177541   0.084618904
## 1391         High 0.367873423   0.366491977
## 1392         High 3.119063551   3.136471076
## 1393         High 0.918111449   0.920487797
## 1394          Low 0.603689720   0.603918757
## 1395          Low 0.182364603   0.187503842
## 1396          Low 0.367873423   0.366491977
## 1397         High 0.547093808   0.554723928
## 1398          Low 0.614694480   0.622786272
## 1399          Low 0.839506016   0.841345537
## 1400          Low 0.367873423   0.374279576
## 1401         High 0.745179498   0.746374825
## 1402         High 0.166643516   0.171675390
## 1403         High 0.333287033   0.339456981
## 1404         High 0.097470736   0.102030202
## 1405         High 0.011004761   0.014973716
## 1406          Low 0.653997196   0.662357402
## 1407          Low 2.254403797   2.265906216
## 1408          Low 0.273546904   0.271521265
## 1409         High 0.276691121   0.282474554
## 1410         High 0.292412208   0.298303006
## 1411         High 0.611550263   0.611832983
## 1412          Low 0.575391764   0.583215142
## 1413         High 0.619410806   0.619747209
## 1414          Low 0.386738727   0.393273718
## 1415          Low 0.210662558   0.208207457
## 1416          Low 0.575391764   0.583215142
## 1417          Low 0.132057126   0.129065198
## 1418          Low 0.418180900   0.424930622
## 1419         High 0.512507418   0.519901334
## 1420         High 0.418180900   0.424930622
## 1421         High 0.653997196   0.662357402
## 1422          Low 0.830073364   0.831848466
## 1423          Low 2.246543253   2.257991990
## 1424          Low 1.304850175   1.309867716
## 1425         High 0.281407447   0.279435491
## 1426         High 0.682295152   0.683061017
## 1427         High 0.103759171   0.108361582
## 1428         High 0.355296554   0.361616814
## 1429         High 0.276691121   0.282474554
## 1430          Low 2.149072517   2.159855588
## 1431         High 0.029870064   0.033967858
## 1432          Low 0.653997196   0.662357402
## 1433         High 0.260970035   0.266646102
## 1434          Low 0.367873423   0.366491977
## 1435         High 0.241318677   0.246860537
## 1436          Low 0.132057126   0.129065198
## 1437         High 0.011004761   0.014973716
## 1438          Low 0.117908148   0.114819591
## 1439         High 0.539233265   0.546809702
## 1440         High 0.053451694   0.049922938
## 1441         High 0.839506016   0.841345537
## 1442          Low 0.461413887   0.468458865
## 1443         High 0.399315596   0.398148881
## 1444          Low 0.260970035   0.266646102
## 1445         High 0.122624474   0.119568126
## 1446         High 0.281407447   0.279435491
## 1447         High 0.198085689   0.203332294
## 1448          Low 0.543949591   0.551558238
## 1449         High 0.658713522   0.667105938
## 1450          Low 0.210662558   0.208207457
## 1451          Low 0.418180900   0.424930622
## 1452          Low 1.245110047   1.249719598
## 1453         High 0.147778213   0.152681248
## 1454         High 0.556526460   0.556433401
## 1455         High 0.996716881   0.999630057
## 1456         High 0.053451694   0.049922938
## 1457         High 1.536107357   1.542704245
## 1458         High 0.526813607   0.534305225
## 1459         High 2.160077278   2.170935504
## 1460          Low 0.433901986   0.440759074
## 1461         High 0.281407447   0.279435491
## 1462          Low 1.924260981   1.933508724
## 1463         High 0.954269947   0.956893237
## 1464          Low 0.418338110   0.417301308
## 1465         High 0.210662558   0.208207457
## 1466         High 0.628843458   0.629244280
## 1467         High 0.603689720   0.603918757
## 1468         High 0.474776811   0.481913049
## 1469          Low 0.996716881   0.999630057
## 1470          Low 0.166643516   0.171675390
## 1471          Low 0.735746846   0.736877754
## 1472         High 0.649280870   0.657608866
## 1473          Low 0.965274708   0.967973153
## 1474          Low 0.591112850   0.599043594
## 1475          Low 0.473990756   0.481121627
## 1476          Low 0.025153738   0.029219322
## 1477          Low 0.462199942   0.461462689
## 1478         High 0.040874825   0.045047774
## 1479          Low 1.782771203   1.791052657
## 1480          Low 0.210662558   0.208207457
## 1481          Low 0.682295152   0.683061017
## 1482         High 0.147778213   0.144893650
## 1483          Low 0.084893867   0.081579842
## 1484         High 0.355296554   0.361616814
## 1485          Low 0.603689720   0.603918757
## 1486         High 0.532944831   0.540478322
## 1487          Low 0.084893867   0.081579842
## 1488         High 0.355296554   0.361616814
## 1489          Low 0.418180900   0.424930622
## 1490         High 0.281407447   0.279435491
## 1491         High 0.966846817   0.969555998
## 1492         High 0.639848218   0.648111795
## 1493          Low 0.210662558   0.208207457
## 1494         High 0.653997196   0.662357402
## 1495          Low 0.682295152   0.683061017
## 1496         High 0.040874825   0.045047774
## 1497          Low 1.303278067   1.308284871
## 1498          Low 0.314421729   0.320462839
## 1499          Low 1.712026314   1.719824623
## 1500         High 0.336431250   0.342622672
## 1501          Low 0.628843458   0.629244280
## 1502          Low 0.760900584   0.762203277
## 1503          Low 0.103759171   0.108361582
## 1504         High 0.669718283   0.678185854
## 1505          Low 0.407694935   0.414373045
## 1506         High 0.276691121   0.282474554
## 1507          Low 0.611550263   0.611832983
## 1508         High 1.848799766   1.857532155
## 1509          Low 0.201229907   0.206497985
## 1510          Low 0.081199412   0.077860155
## 1511          Low 0.213806776   0.219160746
## 1512         High 0.418180900   0.424930622
## 1513         High 1.128522470   1.132335799
## 1514          Low 0.526656396   0.534146941
## 1515          Low 0.292412208   0.298303006
## 1516          Low 0.635131893   0.643363260
## 1517          Low 0.630415567   0.630827126
## 1518         High 2.883247255   2.899044296
## 1519          Low 0.918111449   0.920487797
## 1520         High 0.343505739   0.341957877
## 1521          Low 0.550238026   0.557889619
## 1522         High 2.712987888   2.727622161
## 1523         High 1.711869103   1.719666338
## 1524         High 1.043880140   1.047115413
## 1525         High 0.386738727   0.393273718
## 1526         High 0.355296554   0.361616814
## 1527          Low 2.712987888   2.727622161
## 1528          Low 1.711869103   1.719666338
## 1529          Low 0.639848218   0.648111795
## 1530         High 2.149072517   2.159855588
## 1531         High 0.029870064   0.033967858
## 1532          Low 0.575391764   0.583215142
## 1533          Low 0.957414165   0.960058927
## 1534         High 0.226383645   0.231823508
## 1535          Low 0.191797255   0.189213315
## 1536         High 0.203588070   0.208872252
## 1537         High 0.025153738   0.029219322
## 1538         High 0.418180900   0.424930622
## 1539          Low 1.468349474   1.474483617
## 1540         High 0.210662558   0.208207457
## 1541         High 0.966846817   0.969555998
## 1542         High 0.639848218   0.648111795
## 1543          Low 0.525084287   0.524776497
## 1544         High 0.182364603   0.187503842
## 1545          Low 0.182364603   0.187503842
## 1546         High 0.575391764   0.583215142
## 1547          Low 0.653997196   0.662357402
## 1548         High 0.575391764   0.583215142
## 1549          Low 0.575391764   0.583215142
## 1550         High 0.367873423   0.366491977
## 1551          Low 0.260970035   0.266646102
## 1552         High 0.418180900   0.424930622
## 1553         High 0.525084287   0.524776497
## 1554         High 0.025153738   0.029219322
## 1555          Low 0.064456454   0.068790452
## 1556          Low 0.344291793   0.342749299
## 1557          Low 0.339575467   0.345788362
## 1558         High 0.638276110   0.646528950
## 1559         High 0.603689720   0.603918757
## 1560         High 0.474776811   0.481913049
## 1561         High 1.782771203   1.791052657
## 1562         High 0.297128534   0.295263943
## 1563         High 0.103759171   0.108361582
## 1564         High 0.281407447   0.279435491
## 1565         High 1.043722929   1.046957128
## 1566         High 0.384066142   0.390582881
## 1567          Low 0.462199942   0.461462689
## 1568         High 0.040874825   0.045047774
## 1569          Low 0.260970035   0.266646102
## 1570         High 1.782771203   1.791052657
## 1571         High 0.418180900   0.424930622
## 1572         High 0.418180900   0.424930622
## 1573          Low 1.232533178   1.237056837
## 1574         High 0.528228505   0.535729786
## 1575          Low 0.682295152   0.683061017
## 1576         High 0.528228505   0.535729786
## 1577         High 0.595829176   0.596004531
## 1578          Low 0.653997196   0.662357402
## 1579          Low 0.646136653   0.646655578
## 1580         High 0.499364590   0.506668748
## 1581         High 0.339575467   0.345788362
## 1582          Low 0.352152336   0.350663525
## 1583          Low 0.011004761   0.014973716
## 1584         High 2.883247255   2.899044296
## 1585          Low 1.782771203   1.791052657
## 1586         High 0.430757769   0.429805785
## 1587         High 0.512507418   0.519901334
## 1588         High 0.289267991   0.287349717
## 1589         High 0.457483616   0.464501752
## 1590         High 1.075322313   1.078772317
## 1591          Low 0.135201343   0.140018486
## 1592         High 0.496786332   0.504072882
## 1593          Low 0.037730607   0.034094486
## 1594         High 0.281407447   0.279435491
## 1595          Low 0.080177541   0.084618904
## 1596         High 0.253109492   0.258731876
## 1597         High 0.226383645   0.231823508
## 1598         High 0.504646875   0.511987108
## 1599          Low 0.084893867   0.081579842
## 1600         High 0.603689720   0.603918757
## 1601         High 0.053451694   0.049922938
## 1602          Low 0.328570707   0.326920847
## 1603          Low 0.215378884   0.220743591
## 1604          Low 1.059601227   1.062943865
## 1605          Low 0.025153738   0.029219322
## 1606          Low 0.386738727   0.393273718
## 1607         High 0.603689720   0.603918757
## 1608          Low 0.474776811   0.481913049
## 1609         High 0.620982915   0.629117653
## 1610         High 0.286123773   0.291971625
## 1611         High 0.792342757   0.793860181
## 1612         High 0.259209273   0.264873316
## 1613         High 0.496786332   0.504072882
## 1614          Low 1.153927745   1.157914577
## 1615         High 0.745179498   0.746374825
## 1616          Low 0.281407447   0.279435491
## 1617         High 2.254403797   2.265906216
## 1618         High 0.273546904   0.271521265
## 1619         High 0.103759171   0.108361582
## 1620          Low 0.339575467   0.345788362
## 1621          Low 0.011004761   0.014973716
## 1622          Low 0.303259758   0.309224638
## 1623         High 1.740324270   1.748315836
## 1624         High 0.182364603   0.179716244
## 1625         High 0.308133294   0.314131458
## 1626          Low 0.575391764   0.583215142
## 1627          Low 0.182364603   0.187503842
## 1628          Low 2.175798364   2.186763956
## 1629         High 0.245248949   0.250817650
## 1630         High 0.103759171   0.108361582
## 1631          Low 1.232533178   1.237056837
## 1632          Low 0.229527862   0.234989198
## 1633         High 0.484052252   0.491251836
## 1634         High 0.405604030   0.412267861
## 1635          Low 0.342719685   0.341166454
## 1636          Low 0.456697561   0.463710330
## 1637         High 0.847366560   0.849259763
## 1638          Low 0.298700643   0.296846789
## 1639         High 1.397604585   1.403255583
## 1640          Low 0.304989077   0.303178169
## 1641         High 0.254681600   0.252527123
## 1642         High 0.512507418   0.519901334
## 1643         High 0.650852979   0.651404113
## 1644          Low 0.103759171   0.108361582
## 1645         High 0.182364603   0.187503842
## 1646          Low 0.496786332   0.504072882
## 1647         High 0.330315747   0.328677806
## 1648          Low 0.808063843   0.809688633
## 1649         High 0.166643516   0.171675390
## 1650          Low 0.084893867   0.081579842
## 1651         High 0.132057126   0.129065198
## 1652         High 0.281407447   0.279435491
## 1653         High 0.248393166   0.246195742
## 1654          Low 0.619410806   0.627534808
## 1655          Low 0.182364603   0.187503842
## 1656          Low 0.808063843   0.809688633
## 1657         High 0.166643516   0.171675390
## 1658         High 0.823784930   0.825517085
## 1659          Low 0.166643516   0.171675390
## 1660          Low 0.281407447   0.279435491
## 1661          Low 0.839506016   0.841345537
## 1662          Low 0.465344159   0.472415978
## 1663         High 0.339575467   0.345788362
## 1664         High 0.682295152   0.683061017
## 1665         High 0.147778213   0.144893650
## 1666         High 1.347297109   1.352604536
## 1667         High 0.569103329   0.569096163
## 1668          Low 0.300272751   0.306217232
## 1669         High 0.217737047   0.223117859
## 1670         High 0.330142815   0.336291291
## 1671         High 0.084893867   0.081579842
## 1672          Low 0.355296554   0.361616814
## 1673         High 0.653997196   0.662357402
## 1674          Low 0.628843458   0.629244280
## 1675         High 0.011004761   0.014973716
## 1676         High 2.280186378   2.291864878
## 1677         High 1.275294533   1.280110226
## 1678         High 1.484070561   1.490312069
## 1679         High 0.088038084   0.092533130
## 1680         High 0.330315747   0.328677806
## 1681         High 0.603689720   0.603918757
## 1682          Low 0.292412208   0.298303006
## 1683         High 1.477782126   1.483980688
## 1684         High 0.440190421   0.447090455
## 1685         High 0.210662558   0.208207457
## 1686         High 1.527775181   1.534315165
## 1687         High 0.502131501   0.501666957
## 1688         High 0.127340800   0.132104260
## 1689         High 2.149072517   2.159855588
## 1690         High 0.029870064   0.033967858
## 1691         High 0.966846817   0.969555998
## 1692          Low 0.639848218   0.648111795
## 1693         High 0.025153738   0.029219322
## 1694          Low 0.297128534   0.295263943
## 1695         High 0.080177541   0.084618904
## 1696         High 0.084893867   0.081579842
## 1697         High 0.355296554   0.361616814
## 1698         High 0.402459813   0.409102170
## 1699         High 0.954269947   0.956893237
## 1700          Low 0.653997196   0.662357402
## 1701         High 0.210662558   0.208207457
## 1702          Low 0.418180900   0.424930622
## 1703          Low 0.282979556   0.281018337
## 1704          Low 1.447912062   1.453906629
## 1705         High 0.429185660   0.436010539
## 1706          Low 0.103759171   0.108361582
## 1707         High 0.808063843   0.809688633
## 1708         High 0.166643516   0.171675390
## 1709          Low 0.682295152   0.683061017
## 1710          Low 0.182364603   0.187503842
## 1711          Low 1.043722929   1.046957128
## 1712          Low 0.384066142   0.390582881
## 1713         High 0.056595911   0.060876226
## 1714          Low 1.043880140   1.047115413
## 1715         High 0.228899019   0.234356060
## 1716         High 1.944226761   1.953610859
## 1717         High 0.825042617   0.826783361
## 1718         High 1.043880140   1.047115413
## 1719         High 0.228899019   0.234356060
## 1720         High 0.611550263   0.611832983
## 1721          Low 0.648494816   0.649029845
## 1722          Low 0.095898627   0.100447356
## 1723         High 0.194941472   0.192379005
## 1724          Low 0.433901986   0.440759074
## 1725          Low 2.568825526   2.582475256
## 1726          Low 0.839506016   0.841345537
## 1727         High 0.418180900   0.424930622
## 1728          Low 0.653997196   0.662357402
## 1729         High 0.198085689   0.203332294
## 1730         High 1.394460368   1.400089892
## 1731         High 0.048735368   0.052962000
## 1732          Low 0.996716881   0.999630057
## 1733          Low 0.603689720   0.603918757
## 1734          Low 0.192583309   0.197792336
## 1735          Low 1.532019874   1.538588847
## 1736          Low 0.113191822   0.110071055
## 1737          Low 1.782771203   1.791052657
## 1738         High 0.210662558   0.208207457
## 1739          Low 0.729285479   0.730372260
## 1740         High 0.281407447   0.279435491
## 1741          Low 0.620982915   0.629117653
## 1742         High 0.281407447   0.279435491
## 1743          Low 0.286123773   0.291971625
## 1744         High 0.297128534   0.295263943
## 1745         High 0.620982915   0.629117653
## 1746         High 0.957414165   0.960058927
## 1747         High 0.226383645   0.231823508
## 1748          Low 0.084893867   0.081579842
## 1749          Low 0.286123773   0.291971625
## 1750          Low 0.566745166   0.574509493
## 1751          Low 0.103759171   0.108361582
## 1752         High 0.386738727   0.393273718
## 1753         High 0.628843458   0.629244280
## 1754         High 0.620982915   0.629117653
## 1755          Low 0.182364603   0.187503842
## 1756          Low 0.620982915   0.629117653
## 1757          Low 0.286123773   0.291971625
## 1758         High 0.191797255   0.189213315
## 1759          Low 0.565959112   0.573718071
## 1760         High 0.056595911   0.060876226
## 1761          Low 0.300272751   0.306217232
## 1762          Low 0.182364603   0.187503842
## 1763          Low 0.823784930   0.825517085
## 1764         High 0.591112850   0.599043594
## 1765         High 0.025153738   0.029219322
## 1766         High 0.254681600   0.252527123
## 1767         High 0.080177541   0.084618904
## 1768         High 0.009432652   0.013390870
## 1769         High 0.025153738   0.029219322
## 1770         High 0.147778213   0.144893650
## 1771         High 0.289267991   0.287349717
## 1772         High 0.575391764   0.583215142
## 1773          Low 0.628843458   0.629244280
## 1774         High 0.603689720   0.603918757
## 1775         High 0.474776811   0.481913049
## 1776         High 0.559670678   0.559599092
## 1777         High 0.103759171   0.108361582
## 1778         High 0.339575467   0.345788362
## 1779         High 0.949553621   0.952144701
## 1780         High 0.653997196   0.662357402
## 1781          Low 0.281407447   0.279435491
## 1782          Low 1.740324270   1.748315836
## 1783          Low 0.182364603   0.179716244
## 1784         High 0.226383645   0.231823508
## 1785          Low 0.281407447   0.279435491
## 1786         High 0.902390362   0.904659345
## 1787         High 0.465344159   0.472415978
## 1788         High 0.456697561   0.463710330
## 1789          Low 0.418180900   0.424930622
## 1790         High 1.484070561   1.490312069
## 1791         High 0.088038084   0.092533130
## 1792         High 1.477782126   1.483980688
## 1793          Low 0.440190421   0.447090455
## 1794         High 2.023303826   2.033227972
## 1795         High 0.371017640   0.369657668
## 1796         High 0.150922430   0.155846938
## 1797          Low 0.025153738   0.029219322
## 1798         High 0.996716881   0.999630057
## 1799         High 0.418180900   0.424930622
## 1800          Low 0.053451694   0.057710536
## 1801          Low 0.025153738   0.029219322
## 1802         High 0.653997196   0.662357402
## 1803          Low 0.575391764   0.583215142
## 1804         High 0.260970035   0.266646102
## 1805          Low 0.244462894   0.250026228
## 1806         High 0.006288435   0.002437582
## 1807          Low 0.150922430   0.155846938
## 1808          Low 0.210662558   0.208207457
## 1809          Low 0.418180900   0.424930622
## 1810         High 0.859943429   0.861922525
## 1811         High 0.025153738   0.029219322
## 1812          Low 0.543949591   0.551558238
## 1813          Low 1.594118166   1.601111233
## 1814         High 0.418180900   0.424930622
## 1815         High 0.049521422   0.045965825
## 1816         High 0.653997196   0.662357402
## 1817         High 0.611550263   0.611832983
## 1818         High 2.712987888   2.727622161
## 1819          Low 1.944226761   1.953610859
## 1820          Low 1.028159054   1.031286961
## 1821          Low 0.957414165   0.960058927
## 1822         High 0.226383645   0.231823508
## 1823          Low 0.638276110   0.646528950
## 1824         High 0.281407447   0.279435491
## 1825         High 1.358301869   1.363684453
## 1826         High 0.315993838   0.322045684
## 1827          Low 0.103759171   0.108361582
## 1828          Low 0.575391764   0.583215142
## 1829         High 0.198085689   0.203332294
## 1830          Low 0.411892465   0.410811643
## 1831          Low 0.957414165   0.960058927
## 1832          Low 0.226383645   0.231823508
## 1833         High 0.049521422   0.045965825
## 1834          Low 0.053451694   0.049922938
## 1835         High 0.663901481   0.664541728
## 1836          Low 0.597558496   0.605533259
## 1837         High 0.095678532   0.100225758
## 1838         High 0.525084287   0.524776497
## 1839          Low 0.260970035   0.266646102
## 1840          Low 0.276691121   0.282474554
## 1841          Low 0.095678532   0.100225758
## 1842          Low 0.954269947   0.956893237
## 1843         High 0.297128534   0.295263943
## 1844         High 0.418180900   0.424930622
## 1845          Low 0.653997196   0.662357402
## 1846          Low 0.808063843   0.809688633
## 1847          Low 0.481065245   0.488244430
## 1848          Low 0.281407447   0.279435491
## 1849          Low 0.281407447   0.279435491
## 1850          Low 0.418180900   0.424930622
## 1851         High 1.059601227   1.062943865
## 1852          Low 0.210662558   0.208207457
## 1853         High 0.650852979   0.651404113
## 1854         High 0.734174737   0.735294909
## 1855         High 0.488925789   0.496158656
## 1856          Low 0.053451694   0.049922938
## 1857          Low 0.194941472   0.192379005
## 1858          Low 0.386738727   0.393273718
## 1859         High 0.336431250   0.334835073
## 1860         High 0.839506016   0.841345537
## 1861         High 0.816396019   0.818077713
## 1862          Low 0.496786332   0.504072882
## 1863         High 0.276691121   0.282474554
## 1864         High 0.053451694   0.049922938
## 1865         High 0.575391764   0.583215142
## 1866         High 0.501502658   0.508821418
## 1867         High 0.728829568   0.729913235
## 1868          Low 0.317565946   0.323628529
## 1869         High 0.481065245   0.488244430
## 1870          Low 0.100614953   0.097408294
## 1871         High 0.053451694   0.049922938
## 1872         High 0.296892718   0.295026517
## 1873         High 0.472261437   0.479380497
## 1874         High 0.682295152   0.683061017
## 1875          Low 0.182364603   0.187503842
## 1876          Low 0.377306075   0.375989049
## 1877         High 1.232533178   1.237056837
## 1878         High 0.528228505   0.535729786
## 1879         High 1.153927745   1.157914577
## 1880          Low 0.260970035   0.266646102
## 1881         High 0.456697561   0.463710330
## 1882          Low 0.603689720   0.603918757
## 1883         High 0.474776811   0.481913049
## 1884          Low 0.575391764   0.583215142
## 1885         High 0.603689720   0.603918757
## 1886         High 0.474776811   0.481913049
## 1887         High 0.668146174   0.676603009
## 1888          Low 0.011004761   0.014973716
## 1889         High 0.150922430   0.155846938
## 1890         High 0.653997196   0.662357402
## 1891         High 0.110047605   0.106905365
## 1892         High 0.355296554   0.361616814
## 1893         High 0.053451694   0.049922938
## 1894         High 2.149072517   2.159855588
## 1895         High 0.029870064   0.033967858
## 1896          Low 0.103759171   0.108361582
## 1897         High 0.575391764   0.583215142
## 1898          Low 0.870948189   0.873002441
## 1899         High 1.135062442   1.138920435
## 1900         High 0.198085689   0.195544696
## 1901         High 0.226383645   0.224035909
## 1902         High 0.367873423   0.366491977
## 1903         High 0.339575467   0.345788362
## 1904          Low 0.011004761   0.014973716
## 1905         High 0.260970035   0.266646102
## 1906          Low 0.344291793   0.342749299
## 1907         High 0.339575467   0.345788362
## 1908         High 0.276691121   0.282474554
## 1909          Low 0.011004761   0.014973716
## 1910          Low 0.603689720   0.603918757
## 1911         High 0.474776811   0.481913049
## 1912          Low 1.924260981   1.933508724
## 1913         High 0.603689720   0.603918757
## 1914         High 0.474776811   0.481913049
## 1915         High 0.281407447   0.279435491
## 1916          Low 0.011004761   0.014973716
## 1917         High 2.149072517   2.159855588
## 1918         High 0.029870064   0.033967858
## 1919          Low 0.957414165   0.960058927
## 1920          Low 0.226383645   0.231823508
## 1921         High 0.281407447   0.279435491
## 1922         High 0.095678532   0.100225758
## 1923         High 0.653997196   0.662357402
## 1924          Low 0.095678532   0.100225758
## 1925         High 0.110047605   0.106905365
## 1926          Low 0.446478855   0.445634237
## 1927         High 0.575391764   0.583215142
## 1928          Low 0.957414165   0.960058927
## 1929          Low 0.226383645   0.231823508
## 1930          Low 0.281407447   0.279435491
## 1931          Low 0.276691121   0.282474554
## 1932          Low 0.281407447   0.279435491
## 1933         High 0.808063843   0.809688633
## 1934          Low 0.213806776   0.219160746
## 1935         High 0.603689720   0.603918757
## 1936          Low 0.474776811   0.481913049
## 1937          Low 0.281407447   0.279435491
## 1938          Low 0.603689720   0.603918757
## 1939         High 0.474776811   0.481913049
## 1940         High 0.011004761   0.014973716
## 1941         High 0.301609044   0.299775052
## 1942          Low 1.774910660   1.783138431
## 1943         High 0.919683557   0.922070642
## 1944          Low 0.518795853   0.526232715
## 1945          Low 1.625560339   1.632768137
## 1946          Low 0.619410806   0.619747209
## 1947         High 0.559670678   0.559599092
## 1948          Low 0.402459813   0.409102170
## 1949         High 0.559670678   0.567386690
## 1950         High 0.438618312   0.437720011
## 1951         High 0.575391764   0.583215142
## 1952          Low 0.575391764   0.583215142
## 1953          Low 1.441623627   1.447575248
## 1954          Low 0.300272751   0.298429634
## 1955         High 0.011004761   0.014973716
## 1956          Low 0.303259758   0.309224638
## 1957         High 1.153927745   1.157914577
## 1958         High 0.386738727   0.393273718
## 1959         High 0.611550263   0.611832983
## 1960          Low 0.603689720   0.603918757
## 1961         High 0.474776811   0.481913049
## 1962         High 0.150922430   0.155846938
## 1963          Low 0.116336040   0.113236746
## 1964          Low 0.402459813   0.409102170
## 1965          Low 0.025939793   0.030010745
## 1966          Low 0.127340800   0.132104260
## 1967         High 0.037730607   0.034094486
## 1968          Low 0.432487088   0.439334513
## 1969          Low 0.589918048   0.597840632
## 1970          Low 0.084893867   0.081579842
## 1971         High 0.355296554   0.361616814
## 1972         High 0.182364603   0.187503842
## 1973         High 0.125690086   0.122654674
## 1974         High 0.449623072   0.456587526
## 1975         High 0.847366560   0.849259763
## 1976         High 0.411892465   0.410811643
## 1977         High 1.113052921   1.116760602
## 1978          Low 0.108475496   0.105322520
## 1979         High 1.861376635   1.870194917
## 1980          Low 0.918111449   0.920487797
## 1981         High 0.296892718   0.295026517
## 1982         High 0.472261437   0.479380497
## 1983         High 0.292412208   0.298303006
## 1984          Low 1.153927745   1.157914577
## 1985         High 0.182364603   0.187503842
## 1986          Low 0.399315596   0.398148881
## 1987         High 0.150922430   0.155846938
## 1988          Low 0.355296554   0.361616814
## 1989         High 0.011004761   0.014973716
## 1990         High 0.966846817   0.969555998
## 1991          Low 0.639848218   0.648111795
## 1992          Low 0.606833937   0.614872046
## 1993         High 0.966846817   0.969555998
## 1994         High 0.639848218   0.648111795
## 1995         High 0.496786332   0.504072882
## 1996          Low 0.493642114   0.493119593
## 1997         High 0.767189019   0.768534658
## 1998         High 0.538054184   0.545622569
## 1999          Low 1.364590304   1.370015834
## 2000          Low 0.069172780   0.073538988
## 2001         High 0.418180900   0.424930622
## 2002         High 1.546954907   1.553625877
## 2003         High 0.512507418   0.519901334
## 2004          Low 0.525084287   0.524776497
## 2005          Low 0.260970035   0.266646102
## 2006          Low 0.190225146   0.195418068
## 2007          Low 0.603689720   0.603918757
## 2008          Low 0.210662558   0.208207457
## 2009          Low 0.103759171   0.108361582
## 2010          Low 0.996716881   0.999630057
## 2011          Low 1.389744042   1.395341357
## 2012          Low 0.210662558   0.208207457
## 2013          Low 1.389744042   1.395341357
## 2014          Low 0.210662558   0.208207457
## 2015          Low 1.135062442   1.138920435
## 2016          Low 0.198085689   0.195544696
## 2017          Low 0.150922430   0.155846938
## 2018          Low 0.705876782   0.706803695
## 2019          Low 1.774910660   1.783138431
## 2020          Low 0.990428446   0.993298676
## 2021         High 0.025153738   0.029219322
## 2022          Low 0.110047605   0.106905365
## 2023          Low 0.847366560   0.849259763
## 2024          Low 1.735607944   1.743567301
## 2025         High 1.265547459   1.270296586
## 2026         High 0.304989077   0.310965768
## 2027         High 0.242104731   0.239864361
## 2028          Low 0.192583309   0.197792336
## 2029         High 1.135062442   1.138920435
## 2030         High 0.198085689   0.195544696
## 2031          Low 0.029870064   0.026180260
## 2032          Low 0.560755433   0.568478853
## 2033          Low 0.681509098   0.690057193
## 2034          Low 2.254403797   2.265906216
## 2035         High 0.273546904   0.271521265
## 2036          Low 0.957414165   0.960058927
## 2037          Low 0.226383645   0.231823508
## 2038          Low 0.210662558   0.208207457
## 2039         High 0.418180900   0.424930622
## 2040          Low 0.298700643   0.296846789
## 2041         High 2.160077278   2.170935504
## 2042          Low 0.433901986   0.440759074
## 2043          Low 0.698016238   0.698889469
## 2044          Low 0.461413887   0.468458865
## 2045          Low 0.839506016   0.841345537
## 2046          Low 0.461413887   0.468458865
## 2047         High 0.713737325   0.714717921
## 2048          Low 0.653997196   0.662357402
## 2049          Low 1.425902541   1.431746796
## 2050          Low 0.419753008   0.418725869
## 2051         High 0.103759171   0.108361582
## 2052         High 0.352152336   0.350663525
## 2053         High 1.153927745   1.157914577
## 2054         High 0.352152336   0.350663525
## 2055          Low 0.036944553   0.041090661
## 2056          Low 0.300272751   0.306217232
## 2057          Low 0.682295152   0.683061017
## 2058          Low 0.182364603   0.187503842
## 2059          Low 0.505590140   0.512936815
## 2060          Low 0.628843458   0.629244280
## 2061          Low 0.276691121   0.282474554
## 2062          Low 0.244462894   0.250026228
## 2063         High 0.611550263   0.611832983
## 2064         High 0.628843458   0.629244280
## 2065         High 0.386738727   0.393273718
## 2066          Low 0.575391764   0.583215142
## 2067         High 1.043880140   1.047115413
## 2068         High 0.474776811   0.481913049
## 2069         High 1.782771203   1.791052657
## 2070         High 0.760900584   0.762203277
## 2071         High 0.573819655   0.573844698
## 2072          Low 0.216950993   0.222326437
## 2073         High 0.103759171   0.108361582
## 2074          Low 0.538054184   0.545622569
## 2075          Low 0.056595911   0.060876226
## 2076          Low 0.011004761   0.014973716
## 2077         High 1.134276387   1.138129012
## 2078          Low 0.221667319   0.227074972
## 2079          Low 1.059601227   1.062943865
## 2080          Low 0.210662558   0.208207457
## 2081         High 0.518795853   0.526232715
## 2082          Low 0.682295152   0.683061017
## 2083         High 0.147778213   0.144893650
## 2084          Low 0.011004761   0.014973716
## 2085          Low 0.525084287   0.524776497
## 2086          Low 0.575391764   0.583215142
## 2087          Low 0.628843458   0.629244280
## 2088          Low 0.966846817   0.969555998
## 2089          Low 0.639848218   0.648111795
## 2090         High 0.496786332   0.504072882
## 2091          Low 1.586257623   1.593197007
## 2092         High 0.328570707   0.326920847
## 2093         High 0.966846817   0.969555998
## 2094         High 0.639848218   0.648111795
## 2095         High 0.847366560   0.849259763
## 2096         High 0.084893867   0.081579842
## 2097          Low 0.355296554   0.361616814
## 2098         High 1.303278067   1.308284871
## 2099          Low 0.314421729   0.320462839
## 2100         High 0.418180900   0.424930622
## 2101         High 0.103759171   0.108361582
## 2102         High 0.000000000   0.003893799
## 2103          Low 0.418180900   0.424930622
## 2104         High 0.210662558   0.208207457
## 2105         High 1.468349474   1.474483617
## 2106          Low 0.210662558   0.208207457
## 2107          Low 1.153927745   1.157914577
## 2108         High 3.101927567   3.119218063
## 2109         High 2.031950423   2.041933621
## 2110         High 0.760900584   0.762203277
## 2111         High 0.273546904   0.271521265
## 2112         High 1.059601227   1.062943865
## 2113          Low 0.210662558   0.208207457
## 2114         High 0.179220386   0.176550554
## 2115         High 0.359226825   0.357786329
## 2116         High 0.299329486   0.305267525
## 2117          Low 0.025153738   0.029219322
## 2118         High 0.355296554   0.361616814
## 2119          Low 0.808063843   0.809688633
## 2120         High 0.583252307   0.591129368
## 2121         High 1.122485572   1.126257673
## 2122         High 0.242104731   0.239864361
## 2123         High 0.000000000   0.003893799
## 2124         High 0.525084287   0.524776497
## 2125          Low 0.418180900   0.424930622
## 2126         High 0.559670678   0.559599092
## 2127         High 0.650852979   0.651404113
## 2128         High 0.182364603   0.187503842
## 2129          Low 0.653997196   0.662357402
## 2130         High 0.132057126   0.129065198
## 2131          Low 0.103759171   0.108361582
## 2132          Low 0.339575467   0.345788362
## 2133          Low 0.525084287   0.524776497
## 2134          Low 0.053451694   0.049922938
## 2135          Low 0.300272751   0.306217232
## 2136          Low 0.638276110   0.646528950
## 2137         High 1.447912062   1.453906629
## 2138         High 0.429185660   0.436010539
## 2139         High 0.628843458   0.629244280
## 2140          Low 2.149072517   2.159855588
## 2141          Low 0.029870064   0.033967858
## 2142          Low 0.260970035   0.266646102
## 2143         High 0.318131905   0.324198354
## 2144          Low 0.653997196   0.662357402
## 2145         High 0.025939793   0.030010745
## 2146          Low 0.418180900   0.424930622
## 2147         High 0.292412208   0.298303006
## 2148         High 0.996716881   0.999630057
## 2149         High 0.653997196   0.662357402
## 2150          Low 0.556526460   0.556433401
## 2151         High 0.315993838   0.322045684
## 2152         High 0.298700643   0.296846789
## 2153         High 0.386738727   0.385486120
## 2154         High 0.166643516   0.171675390
## 2155         High 0.682295152   0.683061017
## 2156          Low 0.210662558   0.208207457
## 2157         High 0.103759171   0.108361582
## 2158          Low 0.496786332   0.504072882
## 2159         High 0.210662558   0.208207457
## 2160         High 0.453553344   0.460544639
## 2161         High 0.166643516   0.171675390
## 2162          Low 0.053451694   0.049922938
## 2163         High 0.448365386   0.455321250
## 2164         High 0.072316998   0.076704678
## 2165          Low 0.575391764   0.583215142
## 2166          Low 0.241318677   0.246860537
## 2167         High 1.028159054   1.031286961
## 2168         High 0.698016238   0.698889469
## 2169          Low 0.223239428   0.220870219
## 2170          Low 1.009293750   1.012292819
## 2171         High 0.304989077   0.310965768
## 2172          Low 1.009293750   1.012292819
## 2173         High 0.304989077   0.310965768
## 2174         High 0.432329877   0.439176229
## 2175          Low 0.339575467   0.345788362
## 2176          Low 0.589635068   0.597555720
## 2177         High 1.625560339   1.632768137
## 2178          Low 0.957414165   0.960058927
## 2179         High 0.226383645   0.231823508
## 2180         High 0.182364603   0.187503842
## 2181         High 0.603689720   0.603918757
## 2182          Low 0.474776811   0.481913049
## 2183         High 1.153927745   1.157914577
## 2184          Low 0.378878183   0.385359492
## 2185         High 0.653997196   0.662357402
## 2186         High 0.298700643   0.296846789
## 2187         High 0.031442173   0.027763105
## 2188         High 0.514079527   0.513696581
## 2189         High 0.716881542   0.717883612
## 2190         High 0.037730607   0.272470973
## 2191         High 0.193369363   0.190796160
## 2192          Low 0.051722374   0.055969406
## 2193         High 0.281407447   0.279435491
## 2194         High 3.229111156   3.247270240
## 2195         High 0.587968633   0.588090305
## 2196         High 0.729458411   0.730546373
## 2197         High 0.196482138   0.193930194
## 2198          Low 0.229527862   0.234989198
## 2199         High 0.525084287   0.524776497
## 2200         High 0.575391764   0.583215142
## 2201         High 0.210662558   0.208207457
## 2202          Low 0.575391764   0.583215142
## 2203          Low 0.343505739   0.341957877
## 2204          Low 0.550238026   0.557889619
## 2205         High 0.343505739   0.341957877
## 2206         High 0.550238026   0.557889619
## 2207          Low 0.854598259   0.856540851
## 2208          Low 0.223239428   0.220870219
## 2209          Low 0.084893867   0.081579842
## 2210          Low 0.355296554   0.361616814
## 2211          Low 0.996716881   0.999630057
## 2212         High 0.166643516   0.171675390
## 2213         High 0.996716881   0.999630057
## 2214         High 0.260970035   0.266646102
## 2215          Low 0.996716881   0.999630057
## 2216         High 0.210662558   0.208207457
## 2217          Low 0.682295152   0.683061017
## 2218         High 0.182364603   0.187503842
## 2219          Low 0.210662558   0.460449668
## 2220         High 0.300272751   0.306217232
## 2221         High 2.254403797   2.265906216
## 2222          Low 0.273546904   0.271521265
## 2223          Low 0.628843458   0.629244280
## 2224          Low 2.712987888   2.727622161
## 2225          Low 1.944226761   1.953610859
## 2226         High 2.712987888   2.727622161
## 2227          Low 1.711869103   1.719666338
## 2228         High 0.126397535   0.131154553
## 2229         High 0.594257068   0.602209284
## 2230          Low 1.447912062   1.453906629
## 2231          Low 0.429185660   0.436010539
## 2232         High 2.280186378   2.291864878
## 2233         High 1.527775181   1.534315165
## 2234         High 0.293135378   0.299031115
## 2235         High 0.575391764   0.583215142
## 2236         High 2.280186378   2.291864878
## 2237         High 1.275294533   1.280110226
## 2238         High 0.025153738   0.029219322
## 2239         High 2.280186378   2.291864878
## 2240         High 1.527775181   1.534315165
## 2241         High 0.039459927   0.035835615
## 2242         High 0.194941472   0.192379005
## 2243         High 0.653997196   0.662357402
## 2244         High 0.194941472   0.192379005
## 2245          Low 0.682295152   0.683061017
## 2246         High 0.260970035   0.266646102
## 2247          Low 2.280186378   2.291864878
## 2248         High 1.527775181   1.534315165
## 2249         High 2.149072517   2.159855588
## 2250         High 0.029870064   0.033967858
## 2251         High 0.242104731   0.239864361
## 2252         High 0.760900584   0.762203277
## 2253         High 0.210662558   0.208207457
## 2254         High 2.712987888   2.727622161
## 2255          Low 1.711869103   1.719666338
## 2256         High 2.034308586   2.044307888
## 2257         High 0.242104731   0.239864361
## 2258          Low 0.126397535   0.131154553
## 2259          Low 0.594257068   0.602209284
## 2260         High 0.260970035   0.266646102
## 2261          Low 0.210662558   0.208207457
## 2262         High 0.628843458   0.629244280
## 2263          Low 0.315993838   0.322045684
## 2264         High 0.957414165   0.960058927
## 2265         High 0.226383645   0.231823508
## 2266         High 2.814546107   2.829873961
## 2267         High 2.031950423   2.041933621
## 2268         High 0.025153738   0.029219322
## 2269         High 1.153927745   1.157914577
## 2270         High 1.586257623   1.593197007
## 2271         High 0.328570707   0.326920847
## 2272          Low 0.666574065   0.667232565
## 2273          Low 0.025153738   0.029219322
## 2274         High 0.103759171   0.108361582
## 2275          Low 0.575391764   0.583215142
## 2276         High 0.653997196   0.662357402
## 2277          Low 0.089610193   0.086328377
## 2278         High 0.515651636   0.523067024
## 2279         High 0.559670678   0.559599092
## 2280         High 0.575391764   0.583215142
## 2281          Low 0.496786332   0.504072882
## 2282         High 0.559670678   0.559599092
## 2283         High 0.281407447   0.279435491
## 2284         High 1.930549416   1.939840105
## 2285         High 0.432329877   0.439176229
## 2286         High 0.767189019   0.768534658
## 2287         High 0.416923213   0.423664346
## 2288         High 0.635289103   0.643521544
## 2289          Low 0.053451694   0.049922938
## 2290          Low 0.182364603   0.187503842
## 2291          Low 1.774910660   1.783138431
## 2292          Low 0.919683557   0.922070642
## 2293         High 0.664310229   0.664953268
## 2294          Low 0.661228896   0.669638490
## 2295         High 0.367873423   0.366491977
## 2296          Low 0.547093808   0.554723928
## 2297         High 2.280186378   2.291864878
## 2298          Low 1.275294533   1.280110226
## 2299         High 0.575391764   0.583215142
## 2300          Low 0.300272751   0.306217232
## 2301          Low 1.782771203   1.791052657
## 2302          Low 0.210662558   0.208207457
## 2303          Low 2.149072517   2.159855588
## 2304          Low 0.029870064   0.033967858
## 2305          Low 0.291626154   0.289723985
## 2306          Low 0.294770371   0.300677274
## 2307          Low 1.265547459   1.270296586
## 2308          Low 0.304989077   0.310965768
## 2309         High 0.957414165   0.960058927
## 2310          Low 0.226383645   0.231823508
## 2311         High 1.043880140   1.047115413
## 2312         High 0.474776811   0.481913049
## 2313          Low 0.559670678   0.559599092
## 2314          Low 1.447912062   1.453906629
## 2315          Low 0.429185660   0.436010539
## 2316          Low 0.568317275   0.568304740
## 2317          Low 0.068386726   0.072747565
## 2318          Low 0.446478855   0.445634237
## 2319          Low 0.025153738   0.029219322
## 2320          Low 1.726175292   1.734070229
## 2321          Low 0.597495612   0.605469946
## 2322          Low 0.304989077   0.303178169
## 2323          Low 1.067461770   1.070858091
## 2324         High 0.179220386   0.176550554
## 2325         High 0.653997196   0.662357402
## 2326          Low 0.752804225   0.754051624
## 2327          Low 1.726175292   1.734070229
## 2328         High 0.597495612   0.605469946
## 2329          Low 0.559670678   0.559599092
## 2330         High 0.210662558   0.208207457
## 2331         High 0.575391764   0.583215142
## 2332         High 1.122485572   1.126257673
## 2333          Low 0.053451694   0.049922938
## 2334         High 0.037982145   0.042135339
## 2335          Low 0.301200295   0.307151111
## 2336         High 0.281407447   0.279435491
## 2337          Low 0.248393166   0.246195742
## 2338         High 0.619410806   0.627534808
## 2339         High 0.300272751   0.306217232
## 2340         High 1.303278067   1.308284871
## 2341          Low 0.314421729   0.320462839
## 2342         High 2.254403797   2.265906216
## 2343          Low 0.273546904   0.271521265
## 2344         High 1.028159054   1.031286961
## 2345          Low 0.103759171   0.108361582
## 2346          Low 0.339575467   0.345788362
## 2347          Low 0.084893867   0.081579842
## 2348         High 0.069172780   0.065751390
## 2349         High 0.638276110   0.646528950
## 2350         High 0.496786332   0.504072882
## 2351          Low 1.047024357   0.620443661
## 2352         High 0.411892465   0.410811643
## 2353         High 0.657141414   0.665523092
## 2354         High 0.996716881   0.999630057
## 2355          Low 0.359226825   0.357786329
## 2356          Low 0.299329486   0.305267525
## 2357          Low 0.215378884   0.220743591
## 2358          Low 0.668146174   0.676603009
## 2359          Low 0.682295152   0.683061017
## 2360          Low 0.182364603   0.187503842
## 2361          Low 0.418180900   0.424930622
## 2362         High 0.575391764   0.583215142
## 2363         High 1.944226761   1.953610859
## 2364         High 1.050640207   1.053921647
## 2365         High 0.254681600   0.252527123
## 2366          Low 1.515512734   1.521968973
## 2367          Low 0.040874825   0.045047774
## 2368          Low 0.315993838   0.322045684
## 2369          Low 0.525084287   0.524776497
## 2370         High 0.025153738   0.029219322
## 2371          Low 1.153927745   1.157914577
## 2372         High 0.603689720   0.603918757
## 2373          Low 0.941693078   0.944230475
## 2374          Low 2.280186378   2.291864878
## 2375          Low 1.527775181   1.534315165
## 2376         High 2.280186378   2.291864878
## 2377         High 1.527775181   1.534315165
## 2378         High 0.198085689   0.203332294
## 2379         High 2.712987888   2.727622161
## 2380         High 1.944226761   1.953610859
## 2381         High 2.280186378   2.291864878
## 2382          Low 1.527775181   1.534315165
## 2383          Low 2.712987888   2.727622161
## 2384          Low 1.711869103   1.719666338
## 2385          Low 0.039459927   0.035835615
## 2386         High 2.254403797   2.265906216
## 2387          Low 0.682295152   0.683061017
## 2388         High 1.059601227   1.062943865
## 2389          Low 0.210662558   0.208207457
## 2390         High 1.930549416   1.939840105
## 2391          Low 0.432329877   0.439176229
## 2392          Low 2.280186378   2.291864878
## 2393          Low 1.275294533   1.280110226
## 2394         High 1.527775181   1.534315165
## 2395         High 0.502131501   0.501666957
## 2396          Low 0.308133294   0.314131458
## 2397         High 0.336431250   0.334835073
## 2398         High 0.100614953   0.097408294
## 2399          Low 2.712987888   2.727622161
## 2400          Low 1.711869103   1.719666338
## 2401         High 0.462199942   0.461462689
## 2402         High 0.040874825   0.045047774
## 2403         High 0.210662558   0.208207457
## 2404         High 0.653997196   0.662357402
## 2405         High 0.996716881   0.999630057
## 2406          Low 0.314421729   0.320462839
## 2407          Low 1.531233820   1.537797425
## 2408          Low 0.635131893   0.635575661
## 2409          Low 0.289267991   0.287349717
## 2410          Low 0.418180900   0.424930622
## 2411         High 0.075461215   0.072082770
## 2412          Low 0.559670678   0.559599092
## 2413         High 0.075461215   0.072082770
## 2414          Low 0.682295152   0.683061017
## 2415         High 0.182364603   0.187503842
## 2416          Low 1.122485572   1.126257673
## 2417         High 0.245248949   0.250817650
## 2418          Low 0.281407447   0.279435491
## 2419         High 1.782771203   1.791052657
## 2420         High 0.728829568   0.729913235
## 2421         High 0.546464965   0.554090790
## 2422         High 0.368628035   0.375039341
## 2423         High 2.883247255   2.899044296
## 2424         High 0.918111449   0.920487797
## 2425         High 1.546954907   1.553625877
## 2426         High 0.114763931   0.111653900
## 2427         High 0.839506016   0.841345537
## 2428          Low 0.367873423   0.374279576
## 2429          Low 0.556526460   0.556433401
## 2430          Low 0.315993838   0.322045684
## 2431         High 0.839506016   0.841345537
## 2432          Low 0.367873423   0.374279576
## 2433         High 2.490220093   2.503332996
## 2434          Low 0.756184258   0.757454742
## 2435          Low 0.628843458   0.629244280
## 2436          Low 0.855227103   0.857173989
## 2437         High 0.496786332   0.504072882
## 2438          Low 0.367873423   0.366491977
## 2439         High 0.418180900   0.424930622
## 2440          Low 0.545521700   0.545353485
## 2441         High 0.614694480   0.622786272
## 2442         High 0.281407447   0.279435491
## 2443          Low 0.367873423   0.366491977
## 2444          Low 0.418180900   0.424930622
## 2445          Low 0.281407447   0.279435491
## 2446          Low 0.000000000   0.003893799
## 2447          Low 0.084893867   0.081579842
## 2448          Low 0.559670678   0.567386690
## 2449         High 0.025153738   0.029219322
## 2450          Low 0.276691121   0.282474554
## 2451         High 0.281407447   0.279435491
## 2452         High 0.996716881   0.999630057
## 2453          Low 0.367873423   0.366491977
## 2454          Low 0.260970035   0.266646102
## 2455         High 0.545521700   0.545353485
## 2456          Low 0.614694480   0.622786272
## 2457          Low 0.049521422   0.045965825
## 2458          Low 1.774910660   1.783138431
## 2459         High 0.919683557   0.922070642
## 2460         High 2.883247255   2.899044296
## 2461          Low 0.210662558   0.208207457
## 2462          Low 0.103759171   0.108361582
## 2463          Low 0.367873423   0.366491977
## 2464          Low 0.432487088   0.439334513
## 2465         High 0.367873423   0.366491977
## 2466         High 0.182364603   0.187503842
## 2467         High 0.575391764   0.583215142
## 2468          Low 0.053451694   0.049922938
## 2469         High 0.300272751   0.306217232
## 2470          Low 0.254681600   0.252527123
## 2471         High 0.011004761   0.014973716
## 2472         High 0.575391764   0.583215142
## 2473         High 0.682295152   0.683061017
## 2474          Low 0.182364603   0.187503842
## 2475         High 0.210662558   0.208207457
## 2476          Low 0.260970035   0.266646102
## 2477         High 0.182364603   0.187503842
## 2478          Low 0.418180900   0.424930622
## 2479          Low 1.075322313   1.078772317
## 2480          Low 0.418180900   0.424930622
## 2481         High 0.433901986   0.440759074
## 2482          Low 1.930549416   1.939840105
## 2483         High 0.432329877   0.439176229
## 2484         High 0.496786332   0.504072882
## 2485          Low 2.946131600   2.962358104
## 2486          Low 0.171359842   0.168636328
## 2487         High 1.153927745   1.157914577
## 2488          Low 0.839506016   0.841345537
## 2489         High 0.006288435   0.002437582
## 2490         High 0.367873423   0.366491977
## 2491         High 0.053451694   0.049922938
## 2492         High 0.132057126   0.129065198
## 2493         High 0.462199942   0.461462689
## 2494         High 0.040874825   0.045047774
## 2495         High 0.210662558   0.208207457
## 2496         High 0.418180900   0.424930622
## 2497          Low 0.025153738   0.029219322
## 2498          Low 1.255328753   1.260008092
## 2499         High 0.139917669   0.144767022
## 2500          Low 0.918111449   0.920487797
## 2501          Low 0.025153738   0.029219322
## 2502          Low 0.957414165   0.960058927
## 2503         High 0.226383645   0.231823508
## 2504          Low 0.559670678   0.559599092
## 2505         High 2.883247255   2.899044296
## 2506          Low 0.210662558   0.208207457
## 2507          Low 0.147778213   0.144893650
## 2508         High 0.254681600   0.252527123
## 2509         High 1.814213376   1.822709561
## 2510         High 0.037730607   0.034094486
## 2511         High 0.525084287   0.524776497
## 2512         High 0.260970035   0.266646102
## 2513          Low 0.025153738   0.029219322
## 2514         High 0.575391764   0.583215142
## 2515          Low 0.053451694   0.049922938
## 2516          Low 0.281407447   0.279435491
## 2517          Low 0.281407447   0.279435491
## 2518         High 0.462199942   0.461462689
## 2519         High 0.040874825   0.045047774
## 2520         High 0.011004761   0.014973716
## 2521         High 0.198085689   0.203332294
## 2522         High 0.496786332   0.504072882
## 2523         High 0.025153738   0.029219322
## 2524         High 0.122624474   0.119568126
## 2525         High 1.364590304   1.370015834
## 2526         High 0.069172780   0.073538988
## 2527         High 0.339575467   0.345788362
## 2528         High 0.425318273   0.424329141
## 2529          Low 0.273546904   0.271521265
## 2530         High 0.394599270   0.401187944
## 2531          Low 0.281407447   0.279435491
## 2532         High 0.011004761   0.014973716
## 2533          Low 0.210662558   0.208207457
## 2534          Low 1.153927745   1.157914577
## 2535          Low 0.182364603   0.187503842
## 2536         High 0.595043122   0.603000707
## 2537          Low 0.628843458   0.629244280
## 2538          Low 1.589401840   1.596362697
## 2539          Low 0.606833937   0.614872046
## 2540         High 0.638904953   0.639374490
## 2541          Low 0.172931951   0.170219173
## 2542          Low 0.402459813   0.409102170
## 2543          Low 0.540805374   0.540604949
## 2544          Low 0.025153738   0.029219322
## 2545          Low 0.367873423   0.366491977
## 2546         High 0.127340800   0.132104260
## 2547          Low 0.103759171   0.108361582
## 2548          Low 0.575391764   0.583215142
## 2549          Low 0.636704001   0.644946105
## 2550          Low 0.418180900   0.424930622
## 2551          Low 2.280186378   2.291864878
## 2552         High 1.275294533   1.280110226
## 2553          Low 1.546954907   1.553625877
## 2554          Low 0.289267991   0.287349717
## 2555          Low 0.638276110   0.646528950
## 2556         High 0.798631192   0.800191562
## 2557          Low 0.446478855   0.453421836
## 2558          Low 0.603689720   0.603918757
## 2559          Low 0.474776811   0.481913049
## 2560         High 0.084893867   0.081579842
## 2561         High 0.355296554   0.361616814
## 2562         High 0.575391764   0.583215142
## 2563          Low 1.153927745   1.157914577
## 2564          Low 1.930549416   1.939840105
## 2565          Low 0.432329877   0.439176229
## 2566         High 1.263975350   1.268713741
## 2567          Low 0.289267991   0.287349717
## 2568         High 0.620982915   0.629117653
## 2569          Low 0.276691121   0.282474554
## 2570         High 0.025153738   0.029219322
## 2571          Low 0.339575467   0.345788362
## 2572          Low 0.669718283   0.153045302
## 2573          Low 0.839506016   0.841345537
## 2574         High 0.103759171   0.108361582
## 2575         High 1.279696437   1.284542193
## 2576         High 0.103759171   0.108361582
## 2577          Low 0.659845440   0.668245586
## 2578         High 0.669718283   0.678185854
## 2579         High 0.339575467   0.338000764
## 2580         High 0.556526460   0.564221000
## 2581         High 0.839506016   0.841345537
## 2582         High 0.103759171   0.108361582
## 2583         High 1.311138610   1.316199097
## 2584         High 0.525084287   0.524776497
## 2585          Low 0.124196583   0.121150972
## 2586         High 0.603689720   0.603918757
## 2587          Low 0.474776811   0.481913049
## 2588         High 0.110047605   0.106905365
## 2589         High 0.603689720   0.603918757
## 2590         High 0.194941472   0.192379005
## 2591         High 0.011004761   0.014973716
## 2592         High 0.603689720   0.603918757
## 2593          Low 0.474776811   0.481913049
## 2594         High 2.175798364   3.371998441
## 2595          Low 0.496786332   0.504072882
## 2596         High 1.469921583   1.476066462
## 2597          Low 0.290840099   0.296720161
## 2598         High 0.210662558   0.208207457
## 2599          Low 0.025153738   0.029219322
## 2600         High 0.590484007   0.598410456
## 2601         High 0.839506016   0.841345537
## 2602         High 0.103759171   0.108361582
## 2603          Low 0.339575467   0.345788362
## 2604          Low 0.653997196   0.662357402
## 2605          Low 0.339575467   0.345788362
## 2606          Low 0.653997196   0.662357402
## 2607         High 1.381097444   1.386635708
## 2608         High 0.204374124   0.201876077
## 2609          Low 1.877097722   1.886023369
## 2610          Low 0.273546904   0.271521265
## 2611          Low 0.281407447   0.279435491
## 2612          Low 0.011004761   0.014973716
## 2613          Low 1.468349474   1.474483617
## 2614          Low 0.996716881   0.999630057
## 2615         High 0.103759171   0.108361582
## 2616         High 0.839506016   0.841345537
## 2617          Low 0.465344159   0.472415978
## 2618          Low 0.559670678   0.559599092
## 2619         High 0.281407447   0.279435491
## 2620         High 1.436907301   1.442826713
## 2621         High 0.213806776   0.219160746
## 2622          Low 1.861376635   1.870194917
## 2623         High 0.418180900   0.424930622
## 2624         High 0.182364603   0.187503842
## 2625         High 0.496786332   0.504072882
## 2626         High 0.333287033   0.339456981
## 2627         High 1.153927745   1.157914577
## 2628         High 1.138206659   1.142086125
## 2629         High 0.011004761   0.014973716
## 2630          Low 1.364590304   1.370015834
## 2631         High 0.069172780   0.073538988
## 2632         High 0.084893867   0.081579842
## 2633          Low 0.135201343   0.140018486
## 2634          Low 0.493642114   0.493119593
## 2635          Low 1.028159054   1.031286961
## 2636          Low 0.447264909   0.446425660
## 2637          Low 1.153927745   1.157914577
## 2638          Low 0.493642114   0.493119593
## 2639         High 0.996716881   0.999630057
## 2640          Low 0.210662558   0.208207457
## 2641         High 0.525084287   0.524776497
## 2642          Low 0.260970035   0.266646102
## 2643         High 0.653997196   0.662357402
## 2644         High 0.040874825   0.045047774
## 2645         High 0.286123773   0.291971625
## 2646          Low 0.011004761   0.014973716
## 2647          Low 1.122485572   1.126257673
## 2648          Low 0.053451694   0.049922938
## 2649          Low 0.276691121   0.282474554
## 2650         High 0.210662558   0.208207457
## 2651          Low 0.575391764   0.583215142
## 2652         High 0.254681600   0.252527123
## 2653          Low 1.394460368   1.400089892
## 2654         High 0.048735368   0.052962000
## 2655          Low 0.286123773   0.291971625
## 2656          Low 0.839506016   0.841345537
## 2657          Low 0.575391764   0.583215142
## 2658          Low 0.966846817   0.969555998
## 2659          Low 0.639848218   0.648111795
## 2660         High 0.150922430   0.155846938
## 2661          Low 0.053451694   0.049922938
## 2662          Low 0.798631192   0.800191562
## 2663          Low 0.966846817   0.969555998
## 2664         High 0.639848218   0.648111795
## 2665         High 0.260970035   0.266646102
## 2666          Low 2.051130149   2.061244332
## 2667          Low 0.249493642   0.255091332
## 2668         High 0.260970035   0.266646102
## 2669          Low 0.438618312   0.445507610
## 2670         High 0.559670678   0.559599092
## 2671          Low 0.323854381   0.329959910
## 2672         High 2.309427599   2.321305798
## 2673         High 0.095898627   0.100447356
## 2674         High 0.885427310   0.887580445
## 2675         High 0.260262586   0.265933822
## 2676         High 0.966846817   0.969555998
## 2677          Low 0.639848218   0.648111795
## 2678          Low 0.603689720   0.603918757
## 2679          Low 0.474776811   0.481913049
## 2680         High 1.113052921   1.116760602
## 2681          Low 0.377306075   0.375989049
## 2682          Low 1.672723598   1.680253493
## 2683          Low 0.103759171   0.108361582
## 2684          Low 1.153927745   1.157914577
## 2685          Low 0.084893867   0.081579842
## 2686          Low 0.260970035   0.266646102
## 2687         High 0.729458411   0.730546373
## 2688          Low 0.323854381   0.329959910
## 2689         High 0.023581630   0.027636477
## 2690          Low 0.418180900   0.424930622
## 2691         High 0.855227103   0.857173989
## 2692          Low 0.371017640   0.377445266
## 2693         High 0.493642114   0.493119593
## 2694         High 0.367873423   0.366491977
## 2695         High 0.292412208   0.298303006
## 2696         High 1.955703154   1.965165628
## 2697         High 0.378249340   0.384726354
## 2698          Low 1.134276387   1.138129012
## 2699         High 0.025153738   0.029219322
## 2700         High 0.603689720   0.603918757
## 2701          Low 0.653997196   0.662357402
## 2702          Low 0.628843458   0.629244280
## 2703         High 0.053451694   0.049922938
## 2704          Low 0.339575467   0.345788362
## 2705         High 0.182364603   0.187503842
## 2706         High 0.418180900   0.424930622
## 2707         High 0.957414165   0.960058927
## 2708          Low 0.226383645   0.231823508
## 2709         High 0.957414165   0.960058927
## 2710          Low 0.226383645   0.231823508
## 2711         High 0.518795853   0.526232715
## 2712         High 0.058954074   0.063250494
## 2713         High 0.575391764   0.583215142
## 2714         High 1.877097722   1.886023369
## 2715          Low 0.273546904   0.271521265
## 2716          Low 0.418180900   0.424930622
## 2717          Low 0.725685350   0.726747545
## 2718          Low 0.272289217   0.278042588
## 2719         High 0.011004761   0.014973716
## 2720         High 0.292412208   0.298303006
## 2721         High 0.011004761   0.014973716
## 2722          Low 0.378878183   0.385359492
## 2723         High 0.845008397   0.846885495
## 2724         High 0.185508820   0.190669533
## 2725          Low 0.957414165   0.960058927
## 2726          Low 0.226383645   0.231823508
## 2727          Low 0.512507418   0.519901334
## 2728          Low 0.292412208   0.298303006
## 2729         High 0.518795853   0.526232715
## 2730         High 0.135201343   0.140018486
## 2731         High 0.543949591   0.551558238
## 2732          Low 0.084893867   0.081579842
## 2733         High 0.355296554   0.361616814
## 2734          Low 0.732602628   0.733712064
## 2735          Low 0.116336040   0.113236746
## 2736          Low 0.402459813   0.409102170
## 2737         High 0.603689720   0.603918757
## 2738          Low 0.474776811   0.481913049
## 2739          Low 0.367873423   0.366491977
## 2740          Low 0.418180900   0.424930622
## 2741         High 0.518795853   0.526232715
## 2742          Low 0.011004761   0.014973716
## 2743          Low 0.653997196   0.662357402
## 2744          Low 0.304989077   0.303178169
## 2745          Low 0.518795853   0.526232715
## 2746          Low 0.636704001   0.644946105
## 2747          Low 0.855227103   0.857173989
## 2748          Low 0.496786332   0.504072882
## 2749         High 0.124196583   0.121150972
## 2750         High 0.194941472   0.192379005
## 2751         High 0.653997196   0.662357402
## 2752          Low 0.210662558   0.208207457
## 2753          Low 0.260970035   0.266646102
## 2754          Low 0.573505234   0.581315728
## 2755         High 1.043880140   1.047115413
## 2756          Low 0.292412208   0.298303006
## 2757         High 0.210662558   0.208207457
## 2758          Low 0.260970035   0.266646102
## 2759         High 0.011004761   0.014973716
## 2760          Low 0.125768692   0.130521415
## 2761         High 1.075322313   1.078772317
## 2762         High 0.276691121   0.282474554
## 2763         High 0.496786332   0.504072882
## 2764         High 0.553225032   0.560897025
## 2765         High 0.666574065   0.675020164
## 2766         High 0.553225032   0.560897025
## 2767         High 1.028159054   1.031286961
## 2768          Low 0.103287538   0.100099130
## 2769         High 0.996716881   0.999630057
## 2770         High 0.638276110   0.646528950
## 2771         High 0.210662558   0.937582525
## 2772          Low 0.339575467   0.255946069
## 2773         High 1.153927745   1.157914577
## 2774         High 2.246543253   2.257991990
## 2775          Low 1.304850175   1.309867716
## 2776          Low 1.004577424   1.007544283
## 2777         High 0.426041443   0.432844848
## 2778          Low 0.996716881   0.999630057
## 2779         High 0.260970035   0.266646102
## 2780         High 0.191797255   0.189213315
## 2781         High 0.559670678   0.559599092
## 2782          Low 0.575391764   0.583215142
## 2783         High 1.091043400   1.094600769
## 2784          Low 0.418180900   0.424930622
## 2785         High 0.103759171   0.108361582
## 2786         High 0.339575467   0.345788362
## 2787         High 0.918111449   0.920487797
## 2788          Low 0.367873423   0.366491977
## 2789         High 1.518656951   1.525134663
## 2790          Low 0.034586390   0.030928795
## 2791         High 0.525084287   0.524776497
## 2792          Low 0.575391764   0.583215142
## 2793         High 0.084893867   0.081579842
## 2794          Low 0.355296554   0.361616814
## 2795          Low 0.299329486   0.297479927
## 2796          Low 0.103759171   0.100573984
## 2797         High 0.474776811   0.481913049
## 2798          Low 0.147778213   0.144893650
## 2799         High 0.339575467   0.345788362
## 2800          Low 0.902390362   0.904659345
## 2801         High 0.163499299   0.160722102
## 2802         High 2.222961624   2.234249312
## 2803         High 0.383594509   0.382320429
## 2804          Low 0.792342757   0.793860181
## 2805         High 0.233458134   0.231158713
## 2806         High 0.666574065   0.667232565
## 2807         High 0.304989077   0.303178169
## 2808         High 0.698016238   0.698889469
## 2809         High 0.044805096   0.049004887
## 2810          Low 0.333287033   0.339456981
## 2811         High 0.182364603   0.187503842
## 2812          Low 0.529800613   0.537312631
## 2813         High 1.559531776   1.566288638
## 2814          Low 0.503074766   0.510404263
## 2815          Low 1.611725783   1.618839099
## 2816         High 0.091182301   0.087911222
## 2817         High 0.103790613   0.108393239
## 2818          Low 0.682295152   0.683061017
## 2819          Low 0.323854381   0.329959910
## 2820          Low 1.122485572   1.126257673
## 2821          Low 0.603689720   0.603918757
## 2822          Low 0.474776811   0.481913049
## 2823         High 0.053451694   0.049922938
## 2824         High 0.575391764   0.583215142
## 2825          Low 0.147778213   0.144893650
## 2826          Low 0.509363201   0.508948045
## 2827         High 0.682295152   0.683061017
## 2828         High 0.304989077   0.303178169
## 2829         High 0.084893867   0.081579842
## 2830          Low 0.355296554   0.361616814
## 2831         High 1.782771203   1.791052657
## 2832         High 1.153927745   1.157914577
## 2833          Low 0.622555023   0.630700498
## 2834         High 0.210662558   0.208207457
## 2835         High 1.536107357   1.542704245
## 2836         High 0.526813607   0.534305225
## 2837         High 1.177509375   1.181657255
## 2838         High 0.281407447   0.279435491
## 2839          Low 0.653997196   0.662357402
## 2840         High 0.053451694   0.049922938
## 2841          Low 0.418180900   0.424930622
## 2842         High 1.394460368   1.400089892
## 2843          Low 0.048735368   0.052962000
## 2844          Low 1.047024357   0.620443661
## 2845          Low 0.058954074   0.063250494
## 2846          Low 0.254681600   0.252527123
## 2847          Low 0.446478855   0.445634237
## 2848         High 0.182364603   0.187503842
## 2849          Low 0.664310229   0.664953268
## 2850         High 0.661228896   0.669638490
## 2851          Low 0.378878183   0.385359492
## 2852         High 0.540805374   0.540604949
## 2853          Low 0.025153738   0.029219322
## 2854         High 1.484070561   1.490312069
## 2855         High 0.147778213   0.144893650
## 2856         High 0.638276110   0.646528950
## 2857         High 0.025153738   0.029219322
## 2858          Low 0.575391764   0.583215142
## 2859         High 0.653997196   0.662357402
## 2860         High 1.059601227   1.062943865
## 2861         High 0.210662558   0.208207457
## 2862         High 1.153927745   1.157914577
## 2863         High 1.484070561   1.490312069
## 2864          Low 0.088038084   0.092533130
## 2865          Low 1.546954907   1.553625877
## 2866          Low 0.367873423   0.366491977
## 2867         High 0.084893867   0.081579842
## 2868          Low 0.355296554   0.361616814
## 2869         High 0.135201343   0.140018486
## 2870         High 0.543949591   0.551558238
## 2871         High 0.418180900   0.424930622
## 2872         High 0.653997196   0.662357402
## 2873         High 1.518656951   1.525134663
## 2874         High 0.034586390   0.030928795
## 2875         High 0.603689720   0.603918757
## 2876         High 0.292412208   0.298303006
## 2877         High 0.669718283   0.678185854
## 2878         High 0.289267991   0.287349717
## 2879         High 0.575391764   0.583215142
## 2880         High 0.044019042   0.040425866
## 2881          Low 0.281407447   0.279435491
## 2882          Low 0.575391764   0.583215142
## 2883          Low 0.229527862   0.234989198
## 2884         High 1.153927745   1.157914577
## 2885          Low 0.286123773   0.291971625
## 2886          Low 0.575391764   0.583215142
## 2887          Low 0.402459813   0.409102170
## 2888         High 0.839506016   0.841345537
## 2889          Low 0.461413887   0.468458865
## 2890          Low 1.153927745   1.157914577
## 2891          Low 1.429046758   1.434912487
## 2892          Low 0.304989077   0.303178169
## 2893          Low 0.339575467   0.345788362
## 2894         High 0.575391764   0.583215142
## 2895         High 0.559670678   0.559599092
## 2896         High 0.784482214   0.785945955
## 2897         High 0.166643516   0.171675390
## 2898         High 0.496786332   0.504072882
## 2899         High 0.216950993   0.222326437
## 2900         High 1.153927745   1.157914577
## 2901         High 0.241318677   0.246860537
## 2902         High 1.782771203   2.169431801
## 2903         High 0.638276110   0.646528950
## 2904         High 0.638276110   0.646528950
## 2905          Low 0.575391764   0.583215142
## 2906         High 0.496786332   0.504072882
## 2907          Low 0.957414165   0.960058927
## 2908          Low 0.226383645   0.231823508
## 2909          Low 0.682295152   0.683061017
## 2910         High 1.740324270   1.748315836
## 2911         High 0.182364603   0.179716244
## 2912          Low 0.273546904   0.271521265
## 2913          Low 0.394599270   0.401187944
## 2914          Low 0.669718283   0.678185854
## 2915          Low 0.418180900   0.424930622
## 2916         High 0.462199942   0.461462689
## 2917          Low 0.040874825   0.045047774
## 2918          Low 1.043880140   1.047115413
## 2919         High 0.474776811   0.481913049
## 2920          Low 1.232533178   1.237056837
## 2921         High 0.210662558   0.208207457
## 2922          Low 0.477921028   0.477291141
## 2923         High 0.025153738   0.029219322
## 2924         High 0.146206104   0.151098403
## 2925         High 0.343505739   0.341957877
## 2926          Low 0.252323437   0.257940454
## 2927         High 0.210662558   0.208207457
## 2928         High 0.053451694   0.049922938
## 2929         High 0.339575467   0.345788362
## 2930         High 0.339575467   0.345788362
## 2931          Low 0.653997196   0.662357402
## 2932          Low 0.559670678   0.559599092
## 2933         High 2.355018750   2.367208309
## 2934          Low 0.240532623   0.238281516
## 2935         High 0.049521422   0.045965825
## 2936          Low 1.311138610   1.316199097
## 2937         High 0.260970035   0.266646102
## 2938          Low 0.072316998   0.076704678
## 2939         High 0.669718283   0.678185854
## 2940         High 0.902390362   0.904659345
## 2941         High 0.210662558   0.208207457
## 2942         High 1.153927745   1.157914577
## 2943          Low 0.182364603   0.187503842
## 2944          Low 0.053451694   0.049922938
## 2945         High 0.575391764   0.583215142
## 2946         High 0.367873423   0.366491977
## 2947          Low 0.418180900   0.424930622
## 2948          Low 0.367873423   0.366491977
## 2949          Low 0.418180900   0.424930622
## 2950          Low 0.367873423   0.366491977
## 2951          Low 0.418180900   0.424930622
## 2952          Low 0.367873423   0.366491977
## 2953          Low 0.418180900   0.424930622
## 2954          Low 0.367873423   0.366491977
## 2955          Low 0.418180900   0.424930622
## 2956          Low 0.996716881   0.999630057
## 2957          Low 0.603689720   0.603918757
## 2958         High 0.182364603   0.187503842
## 2959         High 0.367873423   0.366491977
## 2960          Low 0.418180900   0.424930622
## 2961          Low 0.367873423   0.366491977
## 2962         High 0.418180900   0.424930622
## 2963          Low 0.367873423   0.366491977
## 2964         High 0.418180900   0.424930622
## 2965         High 0.784482214   0.785945955
## 2966         High 0.166643516   0.171675390
## 2967          Low 2.883247255   2.899044296
## 2968          Low 0.210662558   0.208207457
## 2969          Low 1.153927745   1.157914577
## 2970          Low 0.603689720   0.603918757
## 2971          Low 2.883247255   2.899044296
## 2972          Low 0.210662558   0.208207457
## 2973          Low 0.000000000   0.003893799
## 2974          Low 1.774910660   1.783138431
## 2975          Low 0.919683557   0.922070642
## 2976         High 0.556526460   0.556433401
## 2977         High 0.325426489   0.323755157
## 2978         High 0.587968633   0.595877904
## 2979          Low 1.657002512   1.664425041
## 2980         High 0.347436011   0.353702588
## 2981         High 1.660146729   1.667590731
## 2982         High 0.347436011   0.353702588
## 2983          Low 0.358440771   0.364782505
## 2984         High 0.418180900   0.424930622
## 2985          Low 1.468349474   1.474483617
## 2986         High 0.367873423   0.366491977
## 2987          Low 0.260970035   0.266646102
## 2988          Low 0.575391764   0.583215142
## 2989          Low 0.210662558   0.208207457
## 2990         High 0.260970035   0.266646102
## 2991          Low 0.603689720   0.603918757
## 2992         High 0.182364603   0.187503842
## 2993         High 0.049521422   0.045965825
## 2994          Low 0.603689720   0.603918757
## 2995          Low 0.389882944   0.396439409
## 2996         High 1.546954907   1.553625877
## 2997         High 0.114763931   0.111653900
## 2998         High 0.839506016   0.841345537
## 2999         High 0.147778213   0.144893650
## 3000         High 0.430757769   0.429805785
## 3001         High 0.355296554   0.361616814
## 3002         High 0.260970035   0.266646102
## 3003          Low 0.496786332   0.504072882
## 3004          Low 0.194941472   0.192379005
## 3005          Low 0.653997196   0.662357402
## 3006         High 1.153927745   1.157914577
## 3007          Low 0.210662558   0.208207457
## 3008         High 0.011004761   0.014973716
## 3009          Low 0.210662558   0.208207457
## 3010         High 0.653997196   0.662357402
## 3011         High 0.182364603   0.187503842
## 3012         High 0.653997196   0.662357402
## 3013          Low 1.028159054   1.031286961
## 3014          Low 1.622416121   1.629602446
## 3015          Low 0.430757769   0.429805785
## 3016         High 0.559670678   0.559599092
## 3017         High 0.525084287   0.524776497
## 3018         High 0.339575467   0.345788362
## 3019          Low 1.481397976   1.487621232
## 3020         High 0.211055586   0.216390767
## 3021         High 0.132057126   0.129065198
## 3022          Low 0.418180900   0.424930622
## 3023         High 1.394460368   1.400089892
## 3024          Low 0.048735368   0.052962000
## 3025         High 0.182364603   0.187503842
## 3026         High 0.653997196   0.662357402
## 3027         High 0.182364603   0.187503842
## 3028          Low 0.418180900   0.424930622
## 3029          Low 0.378878183   0.385359492
## 3030         High 0.192583309   0.197792336
## 3031          Low 0.918111449   0.920487797
## 3032          Low 0.701946510   0.702846582
## 3033          Low 0.496786332   0.504072882
## 3034         High 0.870948189   0.873002441
## 3035         High 0.132057126   0.129065198
## 3036          Low 0.496786332   0.504072882
## 3037          Low 0.559670678   0.559599092
## 3038          Low 0.418180900   0.424930622
## 3039         High 0.042069627   0.046250737
## 3040         High 0.575391764   0.583215142
## 3041         High 2.568825526   3.858881625
## 3042         High 0.182364603   0.187503842
## 3043         High 0.559670678   0.559599092
## 3044          Low 0.509363201   0.508948045
## 3045          Low 0.620982915   0.629117653
## 3046          Low 0.425412599   0.424424112
## 3047          Low 0.620982915   0.629117653
## 3048          Low 0.260970035   0.266646102
## 3049          Low 0.575391764   0.583215142
## 3050          Low 0.575391764   0.583215142
## 3051         High 1.389744042   1.395341357
## 3052         High 0.198085689   0.203332294
## 3053          Low 0.682295152   0.683061017
## 3054          Low 0.682295152   0.690848616
## 3055         High 0.603689720   0.603918757
## 3056          Low 0.474776811   0.481913049
## 3057         High 0.210662558   0.208207457
## 3058         High 1.047024357   1.050281103
## 3059          Low 2.455790914   2.468668686
## 3060          Low 0.031599384   0.035708988
## 3061         High 0.378878183   0.385359492
## 3062         High 0.283293978   0.281334906
## 3063         High 1.322190534   1.327326499
## 3064          Low 0.548414380   0.548265920
## 3065          Low 0.411106411   0.410020220
## 3066          Low 0.025153738   0.029219322
## 3067         High 1.185369918   1.189571481
## 3068          Low 0.918111449   0.920487797
## 3069         High 1.394460368   1.400089892
## 3070         High 0.048735368   0.052962000
## 3071          Low 0.501502658   0.501033819
## 3072          Low 0.196482138   0.193930194
## 3073         High 0.262542144   0.260441349
## 3074          Low 0.039459927   0.035835615
## 3075         High 1.134276387   1.138129012
## 3076          Low 0.025153738   0.029219322
## 3077          Low 0.705876782   0.706803695
## 3078          Low 0.323854381   0.329959910
## 3079         High 0.221667319   0.227074972
## 3080          Low 0.808063843   0.809688633
## 3081         High 0.166643516   0.171675390
## 3082         High 0.792342757   0.793860181
## 3083          Low 0.233458134   0.231158713
## 3084          Low 1.930549416   1.939840105
## 3085         High 0.432329877   0.439176229
## 3086         High 0.792342757   0.793860181
## 3087         High 0.233458134   0.231158713
## 3088         High 1.468349474   1.474483617
## 3089         High 0.367873423   0.366491977
## 3090         High 1.469921583   1.476066462
## 3091         High 0.290840099   0.296720161
## 3092          Low 0.108475496   0.105322520
## 3093         High 0.575391764   0.583215142
## 3094          Low 0.011004761   0.014973716
## 3095          Low 0.603689720   0.603918757
## 3096          Low 0.182364603   0.187503842
## 3097         High 0.025153738   0.029219322
## 3098          Low 0.367936307   0.374342890
## 3099          Low 0.640084035   0.648349222
## 3100          Low 0.477921028   0.477291141
## 3101         High 0.025153738   0.029219322
## 3102          Low 0.254681600   0.252527123
## 3103          Low 0.653997196   0.662357402
## 3104          Low 0.339575467   0.345788362
## 3105         High 0.116807672   0.121499197
## 3106          Low 0.536089048   0.543644012
## 3107          Low 0.954269947   0.956893237
## 3108          Low 0.257825818   0.255692813
## 3109          Low 0.525084287   0.524776497
## 3110          Low 0.575391764   0.583215142
## 3111         High 1.622416121   1.629602446
## 3112          Low 0.430757769   0.429805785
## 3113         High 0.106588966   0.111210704
## 3114          Low 0.671919235   0.680401837
## 3115          Low 1.518656951   1.525134663
## 3116          Low 0.034586390   0.030928795
## 3117          Low 1.622416121   1.629602446
## 3118          Low 0.433901986   0.432971476
## 3119          Low 0.011004761   0.014973716
## 3120          Low 1.028159054   1.031286961
## 3121         High 0.496786332   0.504072882
## 3122          Low 0.389882944   0.396439409
## 3123         High 2.447773160   2.460596176
## 3124         High 0.165071408   0.170092545
## 3125         High 0.281407447   0.279435491
## 3126         High 2.070467085   2.080713328
## 3127          Low 0.402459813   0.401314572
## 3128          Low 0.132057126   0.129065198
## 3129         High 0.418180900   0.424930622
## 3130         High 0.682295152   0.683061017
## 3131         High 0.682295152   0.690848616
## 3132          Low 0.653997196   0.662357402
## 3133         High 0.286123773   0.291971625
## 3134         High 1.930549416   1.939840105
## 3135         High 0.432329877   0.439176229
## 3136          Low 0.053451694   0.049922938
## 3137          Low 0.575391764   0.583215142
## 3138          Low 0.378878183   0.385359492
## 3139         High 0.575391764   0.583215142
## 3140          Low 0.653997196   0.662357402
## 3141         High 0.559670678   0.559599092
## 3142         High 0.855227103   0.857173989
## 3143          Low 0.496786332   0.504072882
## 3144          Low 0.525084287   0.524776497
## 3145         High 0.053451694   0.049922938
## 3146          Low 0.418180900   0.424930622
## 3147          Low 1.782771203   1.791052657
## 3148          Low 0.996716881   0.999630057
## 3149          Low 0.650852979   0.651404113
## 3150          Low 0.009432652   0.013390870
## 3151          Low 0.053451694   0.049922938
## 3152          Low 0.260970035   0.266646102
## 3153         High 0.682295152   0.683061017
## 3154         High 0.210662558   0.208207457
## 3155         High 0.103759171   0.108361582
## 3156          Low 0.210662558   0.208207457
## 3157         High 0.525084287   0.524776497
## 3158         High 0.289267991   0.287349717
## 3159         High 0.103759171   0.108361582
## 3160         High 0.210662558   0.208207457
## 3161         High 0.575391764   0.583215142
## 3162         High 0.446478855   0.445634237
## 3163          Low 0.260970035   0.266646102
## 3164          Low 0.957414165   0.960058927
## 3165         High 0.226383645   0.231823508
## 3166         High 0.587968633   0.588090305
## 3167         High 0.166643516   0.171675390
## 3168         High 0.653997196   0.662357402
## 3169          Low 0.025153738   0.029219322
## 3170          Low 2.246543253   2.257991990
## 3171         High 1.304850175   1.309867716
## 3172          Low 0.996716881   0.999630057
## 3173         High 0.378878183   0.385359492
## 3174         High 0.210662558   0.208207457
## 3175         High 0.653997196   0.662357402
## 3176          Low 0.653997196   0.662357402
## 3177         High 0.265686361   0.263607039
## 3178         High 0.543949591   0.551558238
## 3179         High 0.823784930   0.825517085
## 3180          Low 0.792342757   0.793860181
## 3181         High 0.653997196   0.662357402
## 3182          Low 0.081199412   0.077860155
## 3183          Low 0.053451694   0.049922938
## 3184          Low 1.672723598   1.680253493
## 3185          Low 0.025153738   0.029219322
## 3186          Low 0.525084287   0.524776497
## 3187         High 0.418180900   0.424930622
## 3188          Low 0.182364603   0.187503842
## 3189         High 0.653997196   0.662357402
## 3190          Low 0.210662558   0.208207457
## 3191         High 0.598973394   0.606957820
## 3192          Low 0.847366560   0.849259763
## 3193         High 0.529800613   0.537312631
## 3194          Low 0.213806776   0.219160746
## 3195          Low 1.153927745   1.157914577
## 3196          Low 0.182364603   0.187503842
## 3197          Low 1.153927745   1.157914577
## 3198          Low 0.289267991   0.287349717
## 3199          Low 0.040874825   0.045047774
## 3200          Low 0.583252307   0.591129368
## 3201          Low 0.132057126   0.129065198
## 3202          Low 0.418180900   0.424930622
## 3203          Low 0.517773982   0.517416267
## 3204         High 0.636468185   0.644708678
## 3205         High 0.260970035   0.266646102
## 3206         High 0.182364603   0.187503842
## 3207          Low 0.653997196   0.662357402
## 3208          Low 0.194941472   0.192379005
## 3209          Low 0.386738727   0.393273718
## 3210         High 0.559670678   0.559599092
## 3211          Low 0.540805374   0.540604949
## 3212          Low 0.528228505   0.535729786
## 3213          Low 0.006288435   0.002437582
## 3214          Low 0.367873423   0.366491977
## 3215          Low 0.182364603   0.187503842
## 3216         High 0.119480257   0.124190034
## 3217          Low 0.918111449   0.920487797
## 3218         High 0.103759171   0.108361582
## 3219          Low 0.191797255   0.189213315
## 3220         High 0.367873423   0.366491977
## 3221         High 0.496786332   0.504072882
## 3222          Low 0.339575467   0.345788362
## 3223         High 1.389744042   1.395341357
## 3224          Low 1.479354235   1.485563533
## 3225          Low 0.568317275   0.576092339
## 3226          Low 1.004577424   1.007544283
## 3227          Low 0.426041443   0.432844848
## 3228          Low 0.653997196   0.662357402
## 3229          Low 0.182364603   0.187503842
## 3230          Low 1.106764486   1.110429221
## 3231          Low 0.622555023   0.630700498
## 3232          Low 0.556526460   0.556433401
## 3233         High 0.182364603   0.187503842
## 3234         High 0.257825818   0.255692813
## 3235         High 0.425412599   0.424424112
## 3236          Low 0.540805374   0.540604949
## 3237         High 0.622555023   0.630700498
## 3238          Low 0.011004761   0.014973716
## 3239         High 0.808063843   0.809688633
## 3240          Low 0.481065245   0.488244430
## 3241          Low 1.845655549   1.854366465
## 3242          Low 0.194941472   0.192379005
## 3243         High 0.575391764   0.583215142
## 3244         High 0.399315596   0.181932227
## 3245         High 0.839506016   0.841345537
## 3246          Low 0.047163259   0.051379155
## 3247         High 0.996716881   0.999630057
## 3248         High 0.575391764   0.583215142
## 3249         High 0.418180900   0.424930622
## 3250          Low 1.611034055   1.618142647
## 3251          Low 0.247654275   0.245451805
## 3252          Low 0.653997196   0.662357402
## 3253         High 0.496786332   0.504072882
## 3254          Low 0.210662558   0.208207457
## 3255         High 0.418180900   0.424930622
## 3256          Low 0.453553344   0.460544639
## 3257          Low 0.103759171   0.108361582
## 3258          Low 0.210662558   0.208207457
## 3259         High 0.653997196   0.662357402
## 3260         High 0.106588966   0.111210704
## 3261         High 0.671919235   0.680401837
## 3262          Low 0.496786332   0.504072882
## 3263         High 0.855227103   0.857173989
## 3264         High 0.088038084   0.092533130
## 3265         High 1.028159054   1.031286961
## 3266         High 0.512507418   0.519901334
## 3267         High 0.103759171   0.108361582
## 3268          Low 0.496786332   0.504072882
## 3269         High 0.081199412   0.077860155
## 3270          Low 0.182364603   0.187503842
## 3271         High 0.653997196   0.662357402
## 3272          Low 0.792342757   0.793860181
## 3273         High 0.653997196   0.662357402
## 3274         High 0.496786332   0.504072882
## 3275         High 0.638276110   0.646528950
## 3276          Low 0.260970035   0.266646102
## 3277         High 0.343505739   0.341957877
## 3278          Low 0.252323437   0.257940454
## 3279         High 0.210662558   0.208207457
## 3280          Low 0.260970035   0.266646102
## 3281         High 0.241318677   0.246860537
## 3282         High 0.559670678   0.559599092
## 3283         High 1.153927745   1.157914577
## 3284         High 0.518795853   0.526232715
## 3285         High 0.289267991   0.287349717
## 3286          Low 0.040874825   0.045047774
## 3287         High 0.064456454   0.068790452
## 3288         High 0.259397926   0.257275659
## 3289         High 1.028159054   1.031286961
## 3290         High 0.418180900   0.424930622
## 3291         High 1.122485572   1.126257673
## 3292          Low 0.053451694   0.049922938
## 3293         High 0.260970035   0.266646102
## 3294         High 0.300272751   0.306217232
## 3295         High 0.132057126   0.129065198
## 3296          Low 0.418180900   0.424930622
## 3297         High 0.638276110   0.646528950
## 3298         High 1.562675993   1.569454329
## 3299         High 0.320710164   0.319006621
## 3300         High 0.576177818   0.576218966
## 3301          Low 0.125768692   0.130521415
## 3302          Low 2.619133002   2.633126302
## 3303         High 0.985712120   0.988550141
## 3304          Low 0.682295152   0.683061017
## 3305         High 0.525084287   0.524776497
## 3306          Low 1.740324270   1.748315836
## 3307          Low 0.182364603   0.179716244
## 3308          Low 0.367873423   0.366491977
## 3309         High 0.547093808   0.554723928
## 3310          Low 0.210662558   0.208207457
## 3311         High 0.260970035   0.266646102
## 3312         High 2.051130149   2.061244332
## 3313         High 0.249493642   0.255091332
## 3314          Low 0.241318677   0.246860537
## 3315         High 0.339575467   0.345788362
## 3316          Low 0.603689720   0.603918757
## 3317         High 0.182364603   0.187503842
## 3318          Low 0.682295152   0.683061017
## 3319         High 0.957414165   0.960058927
## 3320         High 0.226383645   0.231823508
## 3321         High 0.182364603   0.187503842
## 3322          Low 0.653997196   0.662357402
## 3323         High 0.595829176   0.603792130
## 3324         High 0.653997196   0.662357402
## 3325         High 0.210662558   0.208207457
## 3326          Low 0.575391764   0.583215142
## 3327         High 0.418180900   0.424930622
## 3328         High 0.025153738   0.029219322
## 3329          Low 1.394460368   1.400089892
## 3330          Low 0.056595911   0.060876226
## 3331         High 0.260970035   0.266646102
## 3332         High 0.300272751   0.306217232
## 3333          Low 0.996716881   0.999630057
## 3334          Low 0.210662558   0.208207457
## 3335         High 0.462199942   0.461462689
## 3336         High 0.040874825   0.045047774
## 3337         High 0.103759171   0.108361582
## 3338          Low 0.339575467   0.345788362
## 3339         High 0.011004761   0.014973716
## 3340         High 0.653997196   0.662357402
## 3341         High 0.671840629   0.680322695
## 3342         High 0.213806776   0.219160746
## 3343          Low 0.337201583   0.335610668
## 3344          Low 0.106588966   0.111210704
## 3345          Low 0.671919235   0.680401837
## 3346          Low 0.300272751   0.306217232
## 3347         High 1.394460368   1.400089892
## 3348         High 0.048735368   0.052962000
## 3349          Low 0.581680199   0.589546523
## 3350          Low 0.653997196   0.662357402
## 3351         High 0.053451694   0.049922938
## 3352          Low 0.518795853   0.526232715
## 3353          Low 0.559670678   0.567386690
## 3354          Low 1.394460368   1.400089892
## 3355         High 0.048735368   0.052962000
## 3356         High 0.525084287   0.524776497
## 3357          Low 0.260970035   0.266646102
## 3358          Low 0.418180900   0.424930622
## 3359         High 0.653997196   0.662357402
## 3360         High 0.512507418   0.519901334
## 3361         High 0.053451694   0.049922938
## 3362          Low 0.575391764   0.583215142
## 3363         High 1.232533178   1.237056837
## 3364         High 0.760900584   0.762203277
## 3365         High 0.418180900   0.424930622
## 3366          Low 1.028159054   1.031286961
## 3367          Low 0.355296554   0.230098207
## 3368          Low 0.226949604   0.224605734
## 3369         High 0.339575467   0.345788362
## 3370          Low 0.229527862   0.234989198
## 3371         High 0.358440771   0.364782505
## 3372         High 0.792342757   0.793860181
## 3373         High 0.653997196   0.662357402
## 3374         High 1.122485572   1.126257673
## 3375         High 0.053451694   0.049922938
## 3376          Low 0.653997196   0.662357402
## 3377         High 0.298700643   0.296846789
## 3378         High 1.028159054   1.031286961
## 3379         High 0.835544303   0.837356767
## 3380         High 0.420822042   0.427589802
## 3381         High 0.004716326   0.008642335
## 3382          Low 0.339575467   0.345788362
## 3383          Low 0.053451694   0.049922938
## 3384         High 0.590484007   0.598410456
## 3385          Low 0.518795853   0.526232715
## 3386         High 0.220095210   0.225492127
## 3387          Low 0.100929375   0.105512461
## 3388          Low 2.978831460   2.995281284
## 3389          Low 0.416923213   0.415876748
## 3390         High 0.518795853   0.526232715
## 3391          Low 0.312849620   0.311092395
## 3392         High 1.153927745   1.157914577
## 3393          Low 0.603689720   0.603918757
## 3394         High 0.124196583   0.121150972
## 3395          Low 0.260970035   0.266646102
## 3396         High 1.389744042   1.395341357
## 3397          Low 0.418180900   0.424930622
## 3398         High 0.182364603   0.187503842
## 3399         High 0.575391764   0.583215142
## 3400         High 0.210662558   0.208207457
## 3401          Low 0.182364603   0.187503842
## 3402         High 0.304989077   0.303178169
## 3403          Low 0.418180900   0.424930622
## 3404         High 0.378878183   0.385359492
## 3405          Low 1.774910660   1.783138431
## 3406         High 0.919683557   0.922070642
## 3407         High 0.653997196   0.662357402
## 3408         High 0.620982915   0.629117653
## 3409          Low 0.286123773   0.291971625
## 3410         High 0.367873423   0.366491977
## 3411          Low 0.418180900   0.424930622
## 3412         High 0.653997196   0.662357402
## 3413          Low 0.559670678   0.559599092
## 3414         High 0.210662558   0.208207457
## 3415          Low 0.653997196   0.662357402
## 3416         High 0.025153738   0.029219322
## 3417          Low 0.289267991   0.287349717
## 3418          Low 1.740324270   1.748315836
## 3419          Low 0.182364603   0.179716244
## 3420         High 0.040874825   0.045047774
## 3421          Low 1.394460368   1.400089892
## 3422          Low 0.048735368   0.052962000
## 3423          Low 0.418180900   0.424930622
## 3424         High 0.622555023   0.630700498
## 3425          Low 0.590484007   0.598410456
## 3426         High 0.100929375   0.105512461
## 3427          Low 0.996716881   0.999630057
## 3428         High 0.575391764   0.583215142
## 3429          Low 0.382242496   0.380959183
## 3430         High 0.575391764   0.583215142
## 3431          Low 0.638276110   0.646528950
## 3432         High 0.014148978   0.018139406
## 3433         High 0.339575467   0.345788362
## 3434          Low 0.418180900   0.424930622
## 3435          Low 0.276691121   0.282474554
## 3436         High 0.100614953   0.097408294
## 3437          Low 1.405465128   1.411169809
## 3438         High 0.127340800   0.132104260
## 3439          Low 0.402459813   0.178038428
## 3440         High 1.028159054   1.031286961
## 3441          Low 0.575391764   0.583215142
## 3442         High 0.358440771   0.364782505
## 3443          Low 1.153927745   1.157914577
## 3444         High 0.260970035   0.266646102
## 3445          Low 0.957414165   0.960058927
## 3446         High 0.226383645   0.231823508
## 3447          Low 0.835544303   0.837356767
## 3448         High 0.420822042   0.427589802
## 3449         High 0.358440771   0.364782505
## 3450          Low 1.028159054   1.031286961
## 3451          Low 1.774910660   1.783138431
## 3452          Low 0.919683557   0.922070642
## 3453          Low 0.496786332   0.504072882
## 3454          Low 0.300272751   0.306217232
## 3455          Low 0.029870064   0.026180260
## 3456          Low 0.996716881   0.999630057
## 3457         High 0.418180900   0.424930622
## 3458          Low 0.518795853   0.526232715
## 3459         High 0.025153738   0.029219322
## 3460         High 0.376520020   0.375197626
## 3461         High 0.523512179   0.530981250
## 3462          Low 0.210662558   0.208207457
## 3463         High 0.575391764   0.583215142
## 3464         High 0.394599270   0.401187944
## 3465         High 0.182364603   0.187503842
## 3466          Low 0.653997196   0.662357402
## 3467         High 0.182364603   0.187503842
## 3468          Low 0.595043122   0.603000707
## 3469         High 0.446478855   0.445634237
## 3470          Low 0.633559784   0.641780414
## 3471         High 0.210662558   0.460449668
## 3472         High 0.521940070   0.529398405
## 3473         High 1.153927745   1.157914577
## 3474          Low 0.182364603   0.187503842
## 3475          Low 0.004716326   0.008642335
## 3476          Low 2.411614661   2.424190736
## 3477         High 0.575391764   0.583215142
## 3478          Low 0.521940070   0.529398405
## 3479          Low 0.996716881   0.999630057
## 3480          Low 0.182364603   0.187503842
## 3481         High 0.011004761   0.014973716
## 3482         High 0.518795853   0.526232715
## 3483         High 0.957414165   0.960058927
## 3484          Low 0.226383645   0.231823508
## 3485          Low 1.939982068   1.949337176
## 3486          Low 0.823784930   0.825517085
## 3487          Low 0.575391764   0.583215142
## 3488          Low 0.589918048   0.597840632
## 3489         High 0.638276110   0.646528950
## 3490          Low 0.581680199   0.589546523
## 3491          Low 1.028159054   1.031286961
## 3492          Low 0.011004761   0.014973716
## 3493         High 0.575391764   0.583215142
## 3494         High 0.653997196   0.662357402
## 3495         High 0.575391764   0.583215142
## 3496         High 0.226383645   0.224035909
## 3497         High 1.028159054   1.031286961
## 3498         High 0.011004761   0.014973716
## 3499         High 0.210662558   0.208207457
## 3500          Low 0.226383645   0.224035909
## 3501         High 0.281407447   0.279435491
## 3502          Low 0.496786332   0.504072882
## 3503          Low 0.303731390   0.301911893
## 3504          Low 0.235816297   0.241320579
## 3505         High 0.512507418   0.519901334
## 3506         High 0.053451694   0.049922938
## 3507         High 0.103759171   0.108361582
## 3508          Low 1.394460368   1.400089892
## 3509          Low 0.056595911   0.060876226
## 3510          Low 0.260970035   0.266646102
## 3511         High 0.512507418   0.519901334
## 3512         High 0.418180900   0.424930622
## 3513         High 0.210662558   0.208207457
## 3514          Low 0.182364603   0.187503842
## 3515          Low 0.418180900   0.424930622
## 3516         High 0.518795853   0.526232715
## 3517          Low 0.603689720   0.603918757
## 3518         High 0.474776811   0.481913049
## 3519          Low 0.575391764   0.583215142
## 3520          Low 0.358440771   0.364782505
## 3521          Low 0.653997196   0.662357402
## 3522         High 0.281407447   0.279435491
## 3523          Low 0.300272751   0.306217232
## 3524         High 0.358440771   0.364782505
## 3525          Low 0.496786332   0.504072882
## 3526          Low 0.996716881   0.999630057
## 3527          Low 0.210662558   0.208207457
## 3528         High 1.153927745   1.157914577
## 3529         High 0.009432652   0.013390870
## 3530          Low 0.418180900   0.424930622
## 3531          Low 0.210662558   0.208207457
## 3532          Low 0.575391764   0.583215142
## 3533          Low 0.575391764   0.583215142
## 3534         High 0.025153738   0.029219322
## 3535          Low 0.182364603   0.187503842
## 3536         High 0.575391764   0.583215142
## 3537         High 0.339575467   0.345788362
## 3538          Low 0.525084287   0.524776497
## 3539          Low 0.281407447   0.279435491
## 3540         High 0.210662558   0.208207457
## 3541         High 0.182364603   0.187503842
## 3542          Low 0.011004761   0.014973716
## 3543          Low 0.011004761   0.014973716
## 3544          Low 0.281407447   0.279435491
## 3545          Low 0.100929375   0.105512461
## 3546         High 0.521940070   0.529398405
## 3547         High 1.939982068   1.949337176
## 3548         High 0.823784930   0.825517085
## 3549          Low 0.537975578   0.545543426
## 3550          Low 0.011004761   0.014973716
## 3551          Low 0.957414165   0.960058927
## 3552         High 0.226383645   0.231823508
## 3553         High 0.286123773   0.291971625
## 3554         High 0.084893867   0.081579842
## 3555          Low 1.389744042   1.395341357
## 3556          Low 0.198085689   0.203332294
## 3557          Low 0.253109492   0.258731876
## 3558         High 0.859959150   0.388715124
## 3559         High 0.518795853   0.526232715
## 3560          Low 0.104152198   0.108757294
## 3561          Low 0.589918048   0.597840632
## 3562         High 0.276691121   0.282474554
## 3563          Low 0.182364603   0.187503842
## 3564         High 0.682295152   0.683061017
## 3565          Low 0.103759171   0.108361582
## 3566          Low 0.518795853   0.526232715
## 3567          Low 0.303731390   0.301911893
## 3568         High 0.235816297   0.241320579
## 3569         High 0.339575467   0.345788362
## 3570          Low 1.232533178   1.237056837
## 3571          Low 0.025153738   0.029219322
## 3572         High 0.292412208   0.298303006
## 3573         High 0.620982915   0.629117653
## 3574         High 0.299015064   0.304950956
## 3575          Low 0.242104731   0.239864361
## 3576         High 0.358440771   0.364782505
## 3577          Low 0.358440771   0.364782505
## 3578         High 0.682295152   0.683061017
## 3579         High 0.606833937   0.614872046
## 3580         High 1.295417523   1.300370645
## 3581          Low 0.449623072   0.456587526
## 3582         High 0.163499299   0.160722102
## 3583          Low 0.575391764   0.583215142
## 3584         High 1.625560339   1.632768137
## 3585         High 0.367873423   0.366491977
## 3586          Low 0.084893867   0.081579842
## 3587         High 0.216950993   0.222326437
## 3588          Low 1.786544264   1.794851485
## 3589         High 0.213177932   0.210740010
## 3590         High 1.786544264   1.794851485
## 3591         High 0.213177932   0.210740010
## 3592          Low 0.182364603   0.187503842
## 3593         High 0.276691121   0.282474554
## 3594          Low 2.883247255   2.899044296
## 3595         High 0.918111449   0.920487797
## 3596          Low 2.149072517   2.159855588
## 3597          Low 0.029870064   0.033967858
## 3598          Low 0.009432652   0.013390870
## 3599         High 0.526845049   0.534336882
## 3600          Low 0.053451694   0.049922938
## 3601          Low 0.418180900   0.424930622
## 3602          Low 0.210662558   0.208207457
## 3603          Low 0.575391764   0.583215142
## 3604          Low 0.053451694   0.049922938
## 3605         High 0.051722374   0.055969406
## 3606         High 0.839506016   0.841345537
## 3607          Low 0.103759171   0.108361582
## 3608          Low 0.210662558   0.208207457
## 3609         High 0.575391764   0.583215142
## 3610         High 1.774910660   1.783138431
## 3611         High 0.919683557   0.922070642
## 3612          Low 0.669718283   0.678185854
## 3613         High 0.598973394   0.606957820
## 3614          Low 0.650852979   0.651404113
## 3615         High 0.103759171   0.108361582
## 3616          Low 0.103759171   0.108361582
## 3617         High 0.418180900   0.424930622
## 3618         High 1.342580783   1.347856001
## 3619         High 0.260970035   0.266646102
## 3620          Low 1.138206659   1.142086125
## 3621         High 0.638276110   0.646528950
## 3622         High 0.210662558   0.208207457
## 3623          Low 0.418180900   0.424930622
## 3624          Low 1.939982068   1.949337176
## 3625          Low 0.823784930   0.825517085
## 3626         High 0.496786332   0.504072882
## 3627          Low 1.138206659   1.142086125
## 3628         High 0.638276110   0.646528950
## 3629         High 0.957414165   0.960058927
## 3630          Low 0.226383645   0.231823508
## 3631          Low 0.603689720   0.603918757
## 3632         High 0.474776811   0.481913049
## 3633          Low 0.011004761   0.014973716
## 3634         High 0.276691121   0.282474554
## 3635         High 1.594118166   1.601111233
## 3636          Low 1.594118166   1.601111233
## 3637          Low 0.447264909   0.446425660
## 3638          Low 0.474776811   0.481913049
## 3639          Low 0.179220386   0.176550554
## 3640         High 0.281407447   0.279435491
## 3641          Low 0.356868662   0.355412061
## 3642         High 0.069172780   0.073538988
## 3643          Low 0.620982915   0.629117653
## 3644         High 0.682295152   0.683061017
## 3645         High 0.260970035   0.266646102
## 3646         High 0.635131893   0.635575661
## 3647          Low 0.103759171   0.108361582
## 3648         High 0.418180900   0.424930622
## 3649         High 0.103759171   0.108361582
## 3650         High 0.418180900   0.424930622
## 3651          Low 0.103759171   0.108361582
## 3652         High 0.630415567   0.630827126
## 3653          Low 1.028159054   1.031286961
## 3654         High 0.968434646   0.523082853
## 3655          Low 0.996716881   0.999630057
## 3656          Low 0.378878183   0.385359492
## 3657          Low 0.518795853   0.526232715
## 3658         High 0.339575467   0.345788362
## 3659         High 0.299015064   0.304950956
## 3660         High 0.996716881   0.999630057
## 3661         High 1.055670955   1.058986752
## 3662         High 0.273546904   0.279308864
## 3663          Low 1.055670955   1.058986752
## 3664         High 0.273546904   0.279308864
## 3665         High 0.260970035   0.266646102
## 3666         High 0.424154912   0.423157836
## 3667         High 0.361191961   0.367552484
## 3668          Low 2.961852687   2.978186556
## 3669          Low 0.525084287   0.524776497
## 3670         High 0.260970035   0.266646102
## 3671          Low 0.760900584   0.762203277
## 3672         High 0.367873423   0.366491977
## 3673         High 0.103759171   0.108361582
## 3674         High 0.210662558   0.208207457
## 3675          Low 0.701946510   0.702846582
## 3676          Low 1.536107357   1.542704245
## 3677          Low 0.526813607   0.534305225
## 3678          Low 0.418180900   0.424930622
## 3679          Low 0.617838697   0.618164364
## 3680          Low 0.474776811   0.481913049
## 3681          Low 0.996716881   0.999630057
## 3682          Low 0.378878183   0.385359492
## 3683          Low 2.070467085   2.080713328
## 3684          Low 0.034586390   0.030928795
## 3685          Low 3.119063551   3.136471076
## 3686         High 0.653997196   0.662357402
## 3687         High 0.100929375   0.105512461
## 3688         High 0.868920169   0.870960571
## 3689          Low 0.260970035   0.266646102
## 3690         High 0.382242496   0.380959183
## 3691          Low 0.092754410   0.089494068
## 3692         High 0.589918048   0.597840632
## 3693          Low 0.182364603   0.187503842
## 3694          Low 0.595043122   0.603000707
## 3695          Low 2.883247255   2.899044296
## 3696         High 0.210662558   0.208207457
## 3697          Low 0.760900584   0.762203277
## 3698         High 0.025153738   0.029219322
## 3699          Low 0.463772050   0.463045535
## 3700          Low 1.047024357   0.620443661
## 3701          Low 1.531233820   1.537797425
## 3702         High 0.776621671   0.778031729
## 3703          Low 0.966846817   0.969555998
## 3704         High 0.639848218   0.648111795
## 3705          Low 0.483423408   0.490618698
## 3706          Low 0.553225032   0.560897025
## 3707         High 0.996716881   0.999630057
## 3708         High 0.378878183   0.385359492
## 3709         High 0.025153738   0.029219322
## 3710          Low 0.103759171   0.108361582
## 3711          Low 0.496786332   0.504072882
## 3712          Low 0.281407447   0.279435491
## 3713         High 0.630415567   0.630827126
## 3714          Low 0.603689720   0.603918757
## 3715         High 0.474776811   0.481913049
## 3716          Low 0.358440771   0.364782505
## 3717          Low 0.358440771   0.364782505
## 3718          Low 0.525084287   0.524776497
## 3719         High 0.575391764   0.583215142
## 3720         High 0.653997196   0.662357402
## 3721         High 0.281407447   0.279435491
## 3722          Low 0.378878183   0.385359492
## 3723          Low 0.575391764   0.583215142
## 3724          Low 0.182364603   0.187503842
## 3725          Low 0.630415567   0.630827126
## 3726          Low 1.028159054   1.031286961
## 3727         High 0.575391764   0.583215142
## 3728         High 1.028159054   1.031286961
## 3729         High 0.603689720   0.603918757
## 3730          Low 0.474776811   0.481913049
## 3731          Low 1.232533178   1.237056837
## 3732          Low 0.060526183   0.064833339
## 3733         High 0.518795853   0.526232715
## 3734          Low 2.004438522   2.014233830
## 3735          Low 0.144633995   0.141727959
## 3736          Low 0.289267991   0.287349717
## 3737         High 0.103759171   0.108361582
## 3738         High 0.339575467   0.345788362
## 3739          Low 0.669718283   0.678185854
## 3740          Low 0.418180900   0.424930622
## 3741         High 0.210662558   0.208207457
## 3742          Low 0.653997196   0.662357402
## 3743         High 0.575391764   0.583215142
## 3744          Low 0.194941472   0.192379005
## 3745         High 0.100929375   0.105512461
## 3746         High 0.418180900   0.424930622
## 3747         High 0.056595911   0.060876226
## 3748          Low 0.525084287   0.524776497
## 3749         High 0.575391764   0.583215142
## 3750         High 2.568825526   2.582475256
## 3751         High 1.193230461   1.197485707
## 3752          Low 1.405465128   1.411169809
## 3753         High 0.040874825   0.045047774
## 3754          Low 1.939982068   1.949337176
## 3755         High 0.823784930   0.825517085
## 3756         High 0.603689720   0.603918757
## 3757         High 0.474776811   0.481913049
## 3758         High 0.103759171   0.108361582
## 3759         High 0.575391764   0.583215142
## 3760          Low 0.650852979   0.651404113
## 3761          Low 0.543949591   0.551558238
## 3762          Low 0.359226825   0.357786329
## 3763         High 0.438979897   0.445871664
## 3764          Low 0.182364603   0.187503842
## 3765          Low 0.653997196   0.662357402
## 3766          Low 0.839506016   0.841345537
## 3767         High 0.260970035   0.266646102
## 3768          Low 0.496786332   0.504072882
## 3769         High 0.792342757   0.793860181
## 3770          Low 0.653997196   0.662357402
## 3771         High 0.839506016   0.841345537
## 3772          Low 0.190225146   0.195418068
## 3773          Low 0.418180900   0.424930622
## 3774          Low 0.339575467   0.345788362
## 3775         High 1.782771203   1.791052657
## 3776         High 1.559531776   1.566288638
## 3777         High 0.503074766   0.510404263
## 3778         High 0.525084287   0.524776497
## 3779          Low 0.132057126   0.129065198
## 3780          Low 0.286123773   0.291971625
## 3781         High 0.304989077   0.303178169
## 3782          Low 0.418180900   0.424930622
## 3783         High 0.210662558   0.208207457
## 3784          Low 0.182364603   0.187503842
## 3785         High 0.701946510   0.702846582
## 3786          Low 0.528228505   0.535729786
## 3787         High 0.847366560   0.849259763
## 3788         High 0.418180900   0.424930622
## 3789         High 1.394460368   1.400089892
## 3790         High 0.048735368   0.052962000
## 3791         High 1.394460368   1.400089892
## 3792          Low 0.048735368   0.052962000
## 3793         High 0.418180900   0.424930622
## 3794         High 0.260970035   0.266646102
## 3795         High 0.603689720   0.603918757
## 3796          Low 0.575391764   0.583215142
## 3797         High 0.525084287   0.524776497
## 3798          Low 0.418180900   0.424930622
## 3799         High 0.298700643   0.296846789
## 3800         High 0.011004761   0.014973716
## 3801         High 0.418180900   0.424930622
## 3802          Low 0.996716881   0.999630057
## 3803          Low 0.182364603   0.187503842
## 3804          Low 0.210662558   0.208207457
## 3805          Low 1.028159054   1.031286961
## 3806          Low 0.575391764   0.583215142
## 3807         High 0.630415567   0.630827126
## 3808         High 0.053451694   0.049922938
## 3809         High 0.339575467   0.345788362
## 3810          Low 0.260970035   0.266646102
## 3811         High 0.575391764   0.583215142
## 3812         High 0.575391764   0.583215142
## 3813          Low 0.603689720   0.603918757
## 3814          Low 0.474776811   0.481913049
## 3815          Low 0.210662558   0.208207457
## 3816          Low 1.106764486   1.110429221
## 3817         High 0.298700643   0.296846789
## 3818         High 1.774910660   1.783138431
## 3819         High 0.919683557   0.922070642
## 3820          Low 0.367873423   0.366491977
## 3821         High 0.547093808   0.554723928
## 3822         High 0.418180900   0.424930622
## 3823         High 0.996716881   0.999630057
## 3824         High 0.792342757   0.793860181
## 3825          Low 0.653997196   0.662357402
## 3826          Low 0.190225146   0.195418068
## 3827         High 0.051722374   0.055969406
## 3828          Low 0.051722374   0.055969406
## 3829         High 0.653997196   0.662357402
## 3830          Low 0.367873423   0.366491977
## 3831         High 0.025153738   0.029219322
## 3832          Low 0.190225146   0.195418068
## 3833         High 0.525084287   0.524776497
## 3834         High 0.638276110   0.646528950
## 3835         High 1.782771203   1.791052657
## 3836          Low 0.653997196   0.662357402
## 3837          Low 0.072316998   0.076704678
## 3838          Low 1.782771203   1.791052657
## 3839         High 0.210662558   0.208207457
## 3840         High 1.028159054   1.031286961
## 3841          Low 0.292412208   0.298303006
## 3842         High 0.521940070   0.529398405
## 3843          Low 0.025153738   0.029219322
## 3844         High 0.418180900   0.424930622
## 3845          Low 0.289267991   0.287349717
## 3846         High 0.025153738   0.029219322
## 3847         High 0.281407447   0.279435491
## 3848          Low 0.653997196   0.662357402
## 3849          Low 0.746751606   0.747957670
## 3850         High 0.265686361   0.263607039
## 3851          Low 0.584824416   0.584924615
## 3852         High 0.227955754   0.233406353
## 3853         High 0.103759171   0.108361582
## 3854         High 0.575391764   0.583215142
## 3855          Low 0.716881542   0.717883612
## 3856         High 0.304989077   0.310965768
## 3857         High 0.163499299   0.160722102
## 3858         High 0.103759171   0.108361582
## 3859          Low 0.653997196   0.662357402
## 3860         High 0.603689720   0.603918757
## 3861          Low 0.210662558   0.208207457
## 3862         High 0.260970035   0.266646102
## 3863         High 1.649141968   1.656510815
## 3864         High 0.103759171   0.108361582
## 3865         High 0.150922430   0.148059340
## 3866         High 0.561242786   0.568969535
## 3867         High 0.286123773   0.291971625
## 3868         High 0.320710164   0.319006621
## 3869          Low 0.308133294   0.314131458
## 3870         High 0.653997196   0.662357402
## 3871         High 0.103759171   0.108361582
## 3872          Low 0.575391764   0.583215142
## 3873          Low 1.740324270   1.748315836
## 3874         High 0.182364603   0.179716244
## 3875          Low 1.740324270   1.748315836
## 3876         High 0.182364603   0.179716244
## 3877          Low 0.242104731   0.239864361
## 3878         High 0.509363201   0.508948045
## 3879          Low 0.682295152   0.683061017
## 3880         High 0.147778213   0.144893650
## 3881          Low 0.575391764   0.583215142
## 3882         High 0.418180900   0.424930622
## 3883         High 0.011004761   0.014973716
## 3884         High 0.260970035   0.266646102
## 3885          Low 0.575391764   0.583215142
## 3886         High 0.182364603   0.187503842
## 3887         High 0.847366560   0.849259763
## 3888         High 0.014148978   0.010351808
## 3889          Low 0.339575467   0.345788362
## 3890         High 0.367873423   0.366491977
## 3891          Low 0.327784652   0.333917023
## 3892          Low 0.603689720   0.603918757
## 3893          Low 0.327784652   0.333917023
## 3894         High 1.389744042   1.395341357
## 3895          Low 0.182364603   0.187503842
## 3896          Low 0.260970035   0.266646102
## 3897          Low 0.177522508   0.182628679
## 3898         High 0.760900584   0.762203277
## 3899          Low 1.939982068   1.949337176
## 3900          Low 0.666574065   0.667232565
## 3901          Low 1.611034055   1.618142647
## 3902          Low 0.247654275   0.245451805
## 3903          Low 0.630415567   0.630827126
## 3904         High 0.701946510   0.702846582
## 3905         High 0.194941472   0.192379005
## 3906         High 0.386738727   0.393273718
## 3907          Low 0.418180900   0.424930622
## 3908         High 0.210662558   0.208207457
## 3909         High 0.575391764   0.583215142
## 3910         High 0.418180900   0.424930622
## 3911         High 0.996716881   0.999630057
## 3912         High 0.210662558   0.208207457
## 3913          Low 0.575391764   0.583215142
## 3914         High 0.575391764   0.583215142
## 3915          Low 1.351227380   1.356561649
## 3916         High 0.182364603   0.179716244
## 3917         High 0.072316998   0.076704678
## 3918         High 0.210662558   0.208207457
## 3919          Low 0.418180900   0.424930622
## 3920          Low 0.281407447   0.279435491
## 3921          Low 0.014148978   0.010351808
## 3922         High 0.182364603   0.187503842
## 3923         High 0.281407447   0.279435491
## 3924         High 0.496786332   0.504072882
## 3925         High 0.760900584   0.762203277
## 3926         High 0.025153738   0.029219322
## 3927         High 0.190225146   0.195418068
## 3928         High 0.683867261   0.692431461
## 3929          Low 0.040874825   0.045047774
## 3930          Low 0.190225146   0.195418068
## 3931          Low 0.094955362   0.099497649
## 3932          Low 0.966846817   0.969555998
## 3933          Low 0.639848218   0.648111795
## 3934          Low 1.649141968   1.656510815
## 3935          Low 0.103759171   0.108361582
## 3936          Low 0.389882944   0.396439409
## 3937          Low 0.323854381   0.329959910
## 3938         High 0.260970035   0.266646102
## 3939          Low 0.418180900   0.424930622
## 3940         High 0.776621671   0.778031729
## 3941         High 0.072316998   0.076704678
## 3942         High 0.575391764   0.583215142
## 3943          Low 1.177509375   1.181657255
## 3944         High 0.418180900   0.424930622
## 3945          Low 0.182364603   0.187503842
## 3946         High 0.496786332   0.504072882
## 3947          Low 0.518795853   0.526232715
## 3948          Low 0.575391764   0.583215142
## 3949          Low 0.260970035   0.266646102
## 3950          Low 0.653997196   0.662357402
## 3951          Low 0.653997196   0.662357402
## 3952         High 0.182364603   0.187503842
## 3953          Low 0.653997196   0.662357402
## 3954          Low 0.575391764   0.583215142
## 3955          Low 0.575391764   0.583215142
## 3956         High 0.575391764   0.583215142
## 3957         High 1.153927745   1.157914577
## 3958         High 0.182364603   0.187503842
## 3959          Low 0.996716881   0.999630057
## 3960         High 0.367873423   0.366491977
## 3961          Low 0.418180900   0.424930622
## 3962         High 1.351227380   1.356561649
## 3963         High 0.182364603   0.179716244
## 3964         High 0.525084287   0.524776497
## 3965          Low 0.638276110   0.646528950
## 3966         High 0.575391764   0.583215142
## 3967         High 0.971563143   0.974304534
## 3968         High 0.047163259   0.051379155
## 3969         High 0.575391764   0.583215142
## 3970         High 0.575391764   0.583215142
## 3971         High 0.418180900   0.424930622
## 3972         High 0.462199942   0.461462689
## 3973         High 0.669718283   0.678185854
## 3974         High 0.591112850   0.599043594
## 3975          Low 0.575391764   0.583215142
## 3976         High 0.933832535   0.936316249
## 3977         High 0.226383645   0.224035909
## 3978         High 0.053451694   0.049922938
## 3979         High 0.496786332   0.504072882
## 3980         High 0.760900584   0.762203277
## 3981         High 0.025153738   0.029219322
## 3982         High 0.053451694   0.049922938
## 3983          Low 0.418180900   0.424930622
## 3984         High 0.281407447   0.279435491
## 3985          Low 0.084893867   0.081579842
## 3986         High 0.355296554   0.361616814
## 3987         High 0.011004761   0.014973716
## 3988         High 0.182364603   0.187503842
## 3989          Low 0.300272751   0.306217232
## 3990         High 0.040874825   0.045047774
## 3991          Low 0.653997196   0.662357402
## 3992         High 0.182364603   0.187503842
## 3993          Low 0.182364603   0.187503842
## 3994         High 0.210662558   0.208207457
## 3995          Low 0.653997196   0.662357402
## 3996         High 0.653997196   0.662357402
## 3997         High 0.084893867   0.081579842
## 3998          Low 0.355296554   0.361616814
## 3999          Low 1.939982068   1.949337176
## 4000         High 0.823784930   0.825517085
## 4001         High 0.653997196   0.662357402
## 4002          Low 0.418180900   0.424930622
## 4003          Low 0.053451694   0.049922938
## 4004         High 0.575391764   0.583215142
## 4005          Low 0.575391764   0.583215142
## 4006          Low 0.182364603   0.187503842
## 4007          Low 0.988856338   0.991715831
## 4008         High 0.577749927   0.585589410
## 4009          Low 0.988856338   0.991715831
## 4010         High 0.577749927   0.585589410
## 4011          Low 0.988856338   0.991715831
## 4012         High 0.577749927   0.585589410
## 4013          Low 0.053451694   0.049922938
## 4014         High 0.367873423   0.366491977
## 4015          Low 0.575391764   0.583215142
## 4016         High 0.367873423   0.366491977
## 4017          Low 0.575391764   0.583215142
## 4018         High 0.367873423   0.366491977
## 4019          Low 0.060526183   0.064833339
## 4020          Low 0.394599270   0.401187944
## 4021          Low 0.367873423   0.366491977
## 4022          Low 0.575391764   0.583215142
## 4023          Low 0.191797255   0.189213315
## 4024          Low 0.575391764   0.583215142
## 4025          Low 0.418180900   0.424930622
## 4026         High 0.462199942   0.461462689
## 4027          Low 0.669718283   0.678185854
## 4028         High 0.433901986   0.440759074
## 4029         High 0.446478855   0.445634237
## 4030         High 0.575391764   0.583215142
## 4031         High 0.933832535   0.936316249
## 4032         High 0.226383645   0.224035909
## 4033          Low 0.006288435   0.002437582
## 4034         High 0.528228505   0.535729786
## 4035          Low 1.075322313   1.078772317
## 4036          Low 0.025153738   0.029219322
## 4037          Low 2.568825526   3.864057528
## 4038         High 0.276691121   0.282474554
## 4039          Low 0.312849620   0.318879994
## 4040         High 0.210662558   0.208207457
## 4041          Low 0.525084287   0.524776497
## 4042         High 0.638276110   0.646528950
## 4043          Low 0.575391764   0.583215142
## 4044         High 0.053451694   0.049922938
## 4045          Low 0.213806776   0.219160746
## 4046          Low 0.084893867   0.081579842
## 4047          Low 0.053451694   0.049922938
## 4048          Low 0.116336040   0.113236746
## 4049          Low 0.226383645   0.224035909
## 4050          Low 0.339575467   0.345788362
## 4051          Low 0.682295152   0.683061017
## 4052         High 0.147778213   0.144893650
## 4053         High 0.575391764   0.583215142
## 4054         High 0.682295152   0.683061017
## 4055         High 0.575391764   0.583215142
## 4056         High 0.518795853   0.526232715
## 4057          Low 0.462199942   0.461462689
## 4058         High 0.669718283   0.678185854
## 4059         High 0.103759171   0.108361582
## 4060         High 0.418180900   0.424930622
## 4061          Low 0.092754410   0.089494068
## 4062          Low 0.536089048   0.543644012
## 4063          Low 0.123410529   0.128147147
## 4064         High 0.418180900   0.424930622
## 4065         High 0.339575467   0.345788362
## 4066         High 0.260970035   0.266646102
## 4067          Low 0.265686361   0.263607039
## 4068         High 0.543949591   0.551558238
## 4069         High 0.170259366   0.167528336
## 4070         High 0.163499299   0.160722102
## 4071          Low 0.525084287   0.524776497
## 4072         High 0.386738727   0.393273718
## 4073         High 0.590484007   0.598410456
## 4074         High 0.245248949   0.250817650
## 4075         High 0.011004761   0.014973716
## 4076          Low 0.575391764   0.583215142
## 4077          Low 0.682295152   0.683061017
## 4078         High 0.503074766   0.510404263
## 4079          Low 0.281407447   0.279435491
## 4080         High 0.418180900   0.424930622
## 4081         High 0.415036682   0.413977333
## 4082         High 0.543949591   0.551558238
## 4083         High 0.638276110   0.638741352
## 4084         High 0.292412208   0.298303006
## 4085          Low 0.886669276   0.888830893
## 4086          Low 0.056595911   0.060876226
## 4087          Low 0.182364603   0.187503842
## 4088          Low 0.575391764   0.583215142
## 4089         High 0.339575467   0.345788362
## 4090          Low 0.135201343   0.140018486
## 4091         High 1.782771203   1.791052657
## 4092          Low 0.276691121   0.282474554
## 4093         High 0.116336040   0.113236746
## 4094          Low 0.053451694   0.049922938
## 4095         High 0.049521422   0.045965825
## 4096          Low 0.418180900   0.424930622
## 4097         High 0.996716881   0.999630057
## 4098         High 0.575391764   0.583215142
## 4099         High 0.304989077   0.303178169
## 4100          Low 0.418180900   0.424930622
## 4101         High 0.418180900   0.424930622
## 4102         High 0.575391764   0.583215142
## 4103         High 0.072316998   0.068917080
## 4104         High 0.072316998   0.068917080
## 4105         High 0.682295152   0.683061017
## 4106         High 0.503074766   0.510404263
## 4107         High 0.276691121   0.282474554
## 4108          Low 0.011004761   0.014973716
## 4109          Low 0.496786332   0.504072882
## 4110          Low 0.289267991   0.287349717
## 4111          Low 0.575391764   0.583215142
## 4112          Low 0.111619714   0.116275808
## 4113         High 0.103759171   0.108361582
## 4114         High 0.011004761   0.014973716
## 4115         High 0.182364603   0.187503842
## 4116         High 0.653997196   0.662357402
## 4117          Low 0.760900584   0.762203277
## 4118          Low 0.182364603   0.187503842
## 4119          Low 0.418180900   0.424930622
## 4120          Low 0.653997196   0.662357402
## 4121         High 0.339575467   0.345788362
## 4122         High 0.286123773   0.291971625
## 4123         High 0.210662558   0.208207457
## 4124         High 0.418180900   0.424930622
## 4125         High 0.191797255   0.189213315
## 4126          Low 0.339575467   0.345788362
## 4127         High 0.606833937   0.614872046
## 4128         High 0.575391764   0.583215142
## 4129         High 0.418180900   0.424930622
## 4130          Low 0.518795853   0.526232715
## 4131         High 1.939982068   1.949337176
## 4132          Low 0.823784930   0.825517085
## 4133          Low 1.774910660   1.783138431
## 4134          Low 0.919683557   0.922070642
## 4135         High 0.292412208   0.298303006
## 4136         High 0.402459813   0.409102170
## 4137         High 0.289267991   0.287349717
## 4138          Low 0.040874825   0.045047774
## 4139         High 0.011004761   0.014973716
## 4140         High 0.957414165   0.960058927
## 4141         High 0.226383645   0.231823508
## 4142         High 0.150922430   0.155846938
## 4143          Low 0.289267991   0.287349717
## 4144          Low 0.040874825   0.045047774
## 4145          Low 0.638276110   0.646528950
## 4146         High 0.276691121   0.282474554
## 4147          Low 0.682295152   0.683061017
## 4148         High 0.147778213   0.144893650
## 4149          Low 0.182364603   0.187503842
## 4150         High 0.701946510   0.702846582
## 4151         High 0.112405768   0.109279633
## 4152         High 0.701946510   0.702846582
## 4153          Low 0.701946510   0.702846582
## 4154         High 0.701946510   0.702846582
## 4155         High 0.112405768   0.109279633
## 4156          Low 0.336431250   0.334835073
## 4157          Low 1.782771203   1.791052657
## 4158          Low 0.147778213   0.144893650
## 4159         High 0.281407447   0.279435491
## 4160          Low 0.011004761   0.014973716
## 4161         High 0.281407447   0.279435491
## 4162          Low 0.289267991   0.287349717
## 4163         High 0.025153738   0.029219322
## 4164          Low 0.011004761   0.014973716
## 4165         High 0.957414165   0.960058927
## 4166          Low 0.226383645   0.231823508
## 4167          Low 0.418180900   0.424930622
## 4168          Low 0.575391764   0.583215142
## 4169          Low 0.011004761   0.014973716
## 4170          Low 0.289267991   0.287349717
## 4171         High 0.040874825   0.045047774
## 4172          Low 2.961852687   2.978186556
## 4173         High 0.072316998   0.068917080
## 4174          Low 0.603689720   0.603918757
## 4175         High 0.474776811   0.481913049
## 4176          Low 0.276691121   0.282474554
## 4177         High 0.281407447   0.279435491
## 4178          Low 0.011004761   0.014973716
## 4179         High 2.568825526   2.582475256
## 4180         High 0.226383645   0.224035909
## 4181         High 0.182364603   0.187503842
## 4182          Low 0.575391764   0.583215142
## 4183          Low 0.503703610   0.511037401
## 4184          Low 0.260970035   0.266646102
## 4185          Low 0.653997196   0.662357402
## 4186          Low 0.957414165   0.960058927
## 4187         High 0.226383645   0.231823508
## 4188         High 0.143061887   0.147932712
## 4189         High 0.011004761   0.014973716
## 4190          Low 0.093760560   0.090507088
## 4191          Low 0.656292475   0.664668356
## 4192          Low 0.114685326   0.119362356
## 4193         High 2.018587500   2.028479436
## 4194         High 0.603689720   0.603918757
## 4195          Low 0.900818253   0.903076500
## 4196         High 0.471632593   0.478747359
## 4197          Low 0.304989077   0.303178169
## 4198          Low 0.418180900   0.424930622
## 4199          Low 0.418180900   0.424930622
## 4200         High 0.064456454   0.068790452
## 4201          Low 0.418180900   0.424930622
## 4202          Low 0.367873423   0.366491977
## 4203          Low 0.260970035   0.266646102
## 4204         High 0.957414165   0.960058927
## 4205          Low 0.226383645   0.231823508
## 4206         High 0.603689720   0.603918757
## 4207          Low 0.039302716   0.043464929
## 4208          Low 0.402459813   0.409102170
## 4209          Low 0.289267991   0.287349717
## 4210          Low 0.418180900   0.424930622
## 4211          Low 0.276691121   0.282474554
## 4212         High 0.418180900   0.424930622
## 4213         High 0.918111449   0.920487797
## 4214         High 0.103759171   0.108361582
## 4215         High 0.525084287   0.524776497
## 4216         High 0.575391764   0.583215142
## 4217          Low 0.186137664   0.183515072
## 4218         High 0.669718283   0.678185854
## 4219          Low 0.839506016   0.841345537
## 4220         High 0.260970035   0.266646102
## 4221         High 0.186137664   0.183515072
## 4222         High 0.669718283   0.678185854
## 4223         High 0.575391764   0.583215142
## 4224         High 0.009432652   0.005603272
## 4225         High 0.575391764   0.583215142
## 4226         High 1.389744042   1.395341357
## 4227          Low 0.323854381   0.329959910
## 4228          Low 0.422912947   0.429694986
## 4229          Low 0.312849620   0.318879994
## 4230         High 0.776621671   0.778031729
## 4231         High 0.072316998   0.076704678
## 4232         High 0.103759171   0.108361582
## 4233         High 0.603689720   0.603918757
## 4234         High 0.474776811   0.481913049
## 4235         High 0.281407447   0.279435491
## 4236          Low 0.839506016   0.841345537
## 4237         High 1.782771203   1.791052657
## 4238         High 0.132057126   0.129065198
## 4239         High 0.182364603   0.187503842
## 4240          Low 0.496786332   0.504072882
## 4241          Low 0.260970035   0.266646102
## 4242          Low 0.575391764   0.583215142
## 4243         High 0.103759171   0.108361582
## 4244          Low 0.210662558   0.208207457
## 4245         High 0.418180900   0.424930622
## 4246          Low 0.367873423   0.366491977
## 4247         High 0.103759171   0.108361582
## 4248          Low 1.153927745   1.157914577
## 4249          Low 0.103759171   0.108361582
## 4250          Low 0.367873423   0.366491977
## 4251          Low 0.465344159   0.472415978
## 4252         High 0.103759171   0.108361582
## 4253          Low 0.182364603   0.187503842
## 4254         High 0.245248949   0.250817650
## 4255          Low 0.254681600   0.252527123
## 4256         High 0.163499299   0.160722102
## 4257          Low 0.418180900   0.424930622
## 4258          Low 0.011004761   0.014973716
## 4259          Low 0.260970035   0.266646102
## 4260         High 0.575391764   0.583215142
## 4261          Low 2.499652745   2.512830067
## 4262         High 0.688583586   0.689392398
## 4263         High 0.653997196   0.662357402
## 4264          Low 0.167429571   0.172466813
## 4265          Low 0.298700643   0.296846789
## 4266         High 0.786054322   0.787528800
## 4267          Low 0.210662558   0.208207457
## 4268         High 0.339575467   0.345788362
## 4269         High 0.011004761   0.014973716
## 4270         High 0.276691121   0.282474554
## 4271         High 0.603689720   0.603918757
## 4272         High 0.039302716   0.043464929
## 4273          Low 0.011004761   0.014973716
## 4274          Low 0.603689720   0.603918757
## 4275          Low 0.474776811   0.481913049
## 4276         High 0.011004761   0.014973716
## 4277         High 0.496786332   0.504072882
## 4278          Low 0.496786332   0.504072882
## 4279          Low 0.518795853   0.526232715
## 4280         High 0.025153738   0.029219322
## 4281         High 0.011004761   0.014973716
## 4282         High 0.496786332   0.504072882
## 4283         High 0.292412208   0.298303006
## 4284         High 0.011004761   0.014973716
## 4285         High 0.072316998   0.068917080
## 4286         High 0.276691121   0.282474554
## 4287         High 0.575391764   0.583215142
## 4288          Low 0.011004761   0.014973716
## 4289          Low 0.025153738   0.029219322
## 4290         High 0.011004761   0.014973716
## 4291         High 0.603689720   0.603918757
## 4292          Low 0.474776811   0.481913049
## 4293          Low 0.210662558   0.208207457
## 4294         High 0.182364603   0.187503842
## 4295         High 0.011004761   0.014973716
## 4296         High 0.598973394   0.606957820
## 4297         High 0.603689720   0.603918757
## 4298         High 0.025153738   0.029219322
## 4299         High 0.367873423   0.404179522
## 4300          Low 0.666574065   0.675020164
## 4301          Low 0.260970035   0.266646102
## 4302         High 0.575391764   0.583215142
## 4303         High 0.103759171   0.108361582
## 4304          Low 0.418180900   0.424930622
## 4305         High 0.210662558   0.208207457
## 4306         High 0.575391764   0.583215142
## 4307          Low 0.033014282   0.029345950
## 4308         High 0.411971070   0.418678384
## 4309         High 1.782771203   1.791052657
## 4310         High 0.603689720   0.603918757
## 4311          Low 0.186137664   0.183515072
## 4312         High 0.669718283   0.678185854
## 4313         High 0.076640296   0.073269904
## 4314         High 0.467419342   0.474505334
## 4315         High 0.210662558   0.208207457
## 4316         High 0.186137664   0.183515072
## 4317         High 0.669718283   0.678185854
## 4318         High 0.210662558   0.208207457
## 4319         High 0.103759171   0.108361582
## 4320         High 0.367873423   0.366491977
## 4321         High 0.103759171   0.108361582
## 4322         High 0.339575467   0.345788362
## 4323          Low 0.122624474   0.127355725
## 4324         High 0.418180900   0.424930622
## 4325          Low 0.996716881   0.999630057
## 4326         High 0.009432652   0.005603272
## 4327         High 0.210662558   0.208207457
## 4328         High 0.653997196   0.662357402
## 4329          Low 0.682263710   0.683029360
## 4330         High 0.503939426   0.511274828
## 4331         High 0.446478855   0.445634237
## 4332         High 0.433901986   0.440759074
## 4333          Low 0.682263710   0.683029360
## 4334         High 0.503939426   0.511274828
## 4335         High 0.056595911   0.060876226
## 4336         High 0.790770648   0.792277336
## 4337          Low 0.430757769   0.437593384
## 4338         High 0.890206520   0.892392295
## 4339         High 0.107296415   0.111922984
## 4340         High 0.182364603   0.187503842
## 4341         High 0.575391764   0.583215142
## 4342          Low 0.367873423   0.366491977
## 4343          Low 0.103759171   0.108361582
## 4344          Low 0.606833937   0.614872046
## 4345          Low 0.053451694   0.049922938
## 4346         High 0.076640296   0.073269904
## 4347         High 0.418180900   0.424930622
## 4348         High 0.493642114   0.493119593
## 4349          Low 0.649280870   0.657608866
## 4350         High 0.138345561   0.135396578
## 4351         High 0.076640296   0.073269904
## 4352         High 0.320710164   0.319006621
## 4353         High 0.528228505   0.535729786
## 4354         High 0.076640296   0.073269904
## 4355         High 0.076640296   0.073269904
## 4356         High 0.076640296   0.073269904
## 4357         High 0.076640296   0.073269904
## 4358         High 0.210662558   0.208207457
## 4359          Low 0.320710164   0.319006621
## 4360         High 0.528228505   0.535729786
## 4361         High 0.076640296   0.073269904
## 4362          Low 0.076640296   0.073269904
## 4363         High 0.076640296   0.073269904
## 4364          Low 0.143061887   0.140145114
## 4365         High 0.575391764   0.583215142
## 4366         High 0.669718283   0.678185854
## 4367         High 0.138345561   0.135396578
## 4368         High 0.138345561   0.135396578
## 4369         High 0.138345561   0.135396578
## 4370          Low 0.053451694   0.049922938
## 4371         High 0.418180900   0.424930622
## 4372          Low 0.122624474   0.127355725
## 4373         High 0.053451694   0.049922938
## 4374         High 0.103759171   0.108361582
## 4375         High 0.339575467   0.345788362
## 4376          Low 0.053451694   0.049922938
## 4377          Low 0.113191822   0.117858654
## 4378          Low 0.512507418   0.519901334
## 4379         High 0.114763931   0.111653900
## 4380          Low 0.566587956   0.566563611
## 4381         High 0.069801624   0.074172126
## 4382         High 0.575391764   0.583215142
## 4383         High 1.743468487   1.751481527
## 4384          Low 1.153927745   1.157914577
## 4385         High 0.100614953   0.097408294
## 4386         High 0.996716881   0.999630057
## 4387         High 0.076640296   0.073269904
## 4388          Low 0.229527862   0.234989198
## 4389          Low 0.446478855   0.445634237
## 4390         High 0.355296554   0.361616814
## 4391          Low 1.782771203   1.791052657
## 4392         High 0.996716881   0.999630057
## 4393          Low 0.103759171   0.108361582
## 4394          Low 0.575391764   0.583215142
## 4395          Low 0.996716881   0.999630057
## 4396         High 0.076640296   0.073269904
## 4397          Low 0.411892465   0.410811643
## 4398         High 0.547093808   0.554723928
## 4399          Low 0.339575467   0.345788362
## 4400         High 0.113191822   0.117858654
## 4401         High 0.512507418   0.519901334
## 4402         High 0.076640296   0.073269904
## 4403         High 0.076640296   0.073269904
## 4404         High 0.076640296   0.073269904
## 4405          Low 0.076640296   0.073269904
## 4406         High 0.076640296   0.073269904
## 4407         High 0.076640296   0.073269904
## 4408         High 0.076640296   0.073269904
## 4409         High 0.076640296   0.073269904
## 4410         High 0.210662558   0.208207457
## 4411         High 0.103759171   0.108361582
## 4412         High 0.210662558   0.208207457
## 4413         High 0.275119013   0.273104111
## 4414         High 0.996716881   0.999630057
## 4415         High 0.076640296   0.073269904
## 4416         High 0.076640296   0.073269904
## 4417          Low 0.076640296   0.073269904
## 4418          Low 0.260970035   0.266646102
## 4419          Low 0.182364603   0.187503842
## 4420          Low 0.996716881   0.999630057
## 4421          Low 0.418180900   0.424930622
## 4422          Low 0.653997196   0.662357402
## 4423          Low 0.635131893   0.643363260
## 4424         High 0.603689720   0.603918757
## 4425          Low 0.418180900   0.424930622
## 4426          Low 0.012576869   0.016556561
## 4427          Low 0.918111449   0.920487797
## 4428         High 0.103759171   0.108361582
## 4429         High 0.265686361   0.263607039
## 4430          Low 0.543949591   0.551558238
## 4431          Low 0.996716881   0.999630057
## 4432         High 0.009432652   0.013390870
## 4433         High 0.594257068   0.602209284
## 4434         High 0.213806776   0.219160746
## 4435         High 0.265686361   0.263607039
## 4436         High 0.543949591   0.551558238
## 4437         High 0.009432652   0.013390870
## 4438         High 0.594257068   0.602209284
## 4439         High 0.449623072   0.456587526
## 4440          Low 0.260970035   0.266646102
## 4441          Low 0.210662558   0.208207457
## 4442         High 0.575391764   0.583215142
## 4443         High 0.465344159   0.464628380
## 4444         High 0.668146174   0.676603009
## 4445          Low 0.996716881   0.999630057
## 4446         High 0.304989077   0.303178169
## 4447         High 0.180792494   0.185920997
## 4448         High 0.047949314   0.044382979
## 4449         High 0.339638352   0.345851676
## 4450          Low 0.590484007   0.598410456
## 4451          Low 0.512507418   0.519901334
## 4452         High 0.210662558   0.208207457
## 4453         High 0.575391764   0.583215142
## 4454         High 0.143061887   0.140145114
## 4455         High 0.260970035   0.266646102
## 4456         High 0.210662558   0.208207457
## 4457          Low 0.114763931   0.111653900
## 4458         High 0.182364603   0.187503842
## 4459          Low 0.023581630   0.019848879
## 4460         High 0.976279468   0.979053069
## 4461          Low 0.306561186   0.312548613
## 4462         High 0.918111449   0.920487797
## 4463          Low 0.289267991   0.287349717
## 4464         High 0.996716881   0.999630057
## 4465          Low 0.045591151   0.042008712
## 4466         High 0.141489778   0.146349867
## 4467         High 0.996716881   0.999630057
## 4468         High 0.256253709   0.254109968
## 4469          Low 0.653997196   0.662357402
## 4470         High 0.114763931   0.111653900
## 4471         High 0.103759171   0.108361582
## 4472          Low 0.465344159   0.464628380
## 4473          Low 0.668146174   0.676603009
## 4474          Low 0.462199942   0.461462689
## 4475          Low 0.669718283   0.678185854
## 4476          Low 0.575391764   0.583215142
## 4477          Low 0.996716881   0.999630057
## 4478         High 1.161788289   1.165828803
## 4479         High 0.180792494   0.185920997
## 4480         High 0.367873423   0.366491977
## 4481         High 0.315978117   0.314242257
## 4482          Low 0.210662558   0.208207457
## 4483          Low 0.996716881   0.999630057
## 4484         High 0.996716881   0.999630057
## 4485          Low 0.996716881   0.999630057
## 4486          Low 0.418180900   0.424930622
## 4487          Low 0.545521700   0.545353485
## 4488          Low 0.595829176   0.603792130
## 4489          Low 0.985083277   0.987917003
## 4490         High 0.018865304   0.022887942
## 4491         High 0.260970035   0.266646102
## 4492          Low 0.103759171   0.108361582
## 4493          Low 0.418180900   0.424930622
## 4494          Low 0.210662558   0.208207457
## 4495          Low 0.418180900   0.424930622
## 4496          Low 0.418180900   0.424930622
## 4497          Low 0.210662558   0.208207457
## 4498          Low 0.103759171   0.108361582
## 4499          Low 0.528228505   0.535729786
## 4500         High 0.367873423   0.366491977
## 4501          Low 0.574212683   0.582028008
## 4502          Low 0.418180900   0.424930622
## 4503          Low 0.256253709   0.254109968
## 4504         High 0.182364603   0.187503842
## 4505         High 0.009432652   0.013390870
## 4506         High 0.594257068   0.602209284
## 4507         High 0.839506016   0.841345537
## 4508         High 0.418180900   0.424930622
## 4509          Low 1.782771203   1.791052657
## 4510         High 0.210662558   0.208207457
## 4511         High 0.210662558   0.208207457
## 4512         High 0.653997196   0.662357402
## 4513          Low 0.451195181   0.450382773
## 4514          Low 0.446478855   0.453421836
## 4515          Low 0.353724445   0.352246371
## 4516         High 0.503074766   0.510404263
## 4517         High 0.182364603   0.187503842
## 4518          Low 0.496786332   0.504072882
## 4519          Low 0.355296554   0.361616814
## 4520         High 0.260970035   0.266646102
## 4521          Low 0.047949314   0.044382979
## 4522         High 0.339638352   0.345851676
## 4523          Low 0.333287033   0.339456981
## 4524          Low 0.348615092   0.347102124
## 4525          Low 0.609978154   0.618037736
## 4526         High 0.047163259   0.051379155
## 4527         High 0.047949314   0.044382979
## 4528         High 0.339638352   0.345851676
## 4529          Low 0.451195181   0.450382773
## 4530         High 1.153927745   1.157914577
## 4531         High 0.103759171   0.108361582
## 4532          Low 0.418180900   0.424930622
## 4533          Low 0.855227103   0.857173989
## 4534          Low 0.433901986   0.440759074
## 4535         High 0.103759171   0.108361582
## 4536         High 0.870948189   0.873002441
## 4537         High 0.210662558   0.208207457
## 4538         High 0.336116828   0.342306103
## 4539         High 0.073260263   0.077654385
## 4540          Low 0.526813607   0.526517627
## 4541         High 0.416923213   0.423664346
## 4542          Low 0.103759171   0.108361582
## 4543          Low 0.496786332   0.504072882
## 4544          Low 0.260970035   0.266646102
## 4545         High 0.575391764   0.583215142
## 4546         High 0.638276110   0.646528950
## 4547         High 0.260970035   0.266646102
## 4548          Low 0.397083202   0.403688840
## 4549          Low 0.308133294   0.314131458
## 4550          Low 0.391455053   0.390234655
## 4551         High 0.091182301   0.087911222
## 4552         High 0.418180900   0.424930622
## 4553         High 0.575391764   0.583215142
## 4554          Low 0.308133294   0.314131458
## 4555         High 0.333287033   0.339456981
## 4556         High 0.900818253   0.903076500
## 4557         High 0.471632593   0.478747359
## 4558         High 0.587968633   0.588090305
## 4559         High 0.294377344   0.300281563
## 4560          Low 0.182364603   0.187503842
## 4561         High 0.353724445   0.352246371
## 4562         High 0.503074766   0.510404263
## 4563         High 0.103759171   0.108361582
## 4564         High 0.418180900   0.424930622
## 4565         High 0.293984317   0.292098253
## 4566          Low 0.166643516   0.171675390
## 4567         High 0.669718283   0.678185854
## 4568         High 0.212234667   0.209790303
## 4569         High 0.418180900   0.424930622
## 4570         High 0.293984317   0.292098253
## 4571         High 0.293984317   0.292098253
## 4572         High 0.029870064   0.033967858
## 4573         High 0.180792494   0.185920997
## 4574          Low 0.653997196   0.662357402
## 4575         High 0.430757769   0.429805785
## 4576         High 0.094326519   0.091076913
## 4577         High 1.254542699   1.259216670
## 4578         High 0.416923213   0.415876748
## 4579         High 0.496786332   0.504072882
## 4580         High 0.315978117   0.314242257
## 4581         High 0.093760560   0.090507088
## 4582         High 0.656292475   0.664668356
## 4583         High 0.682295152   0.683061017
## 4584         High 0.575391764   0.583215142
## 4585          Low 0.571304282   0.579099745
## 4586          Low 0.260970035   0.266646102
## 4587         High 0.575391764   0.583215142
## 4588          Low 0.418180900   0.424930622
## 4589         High 0.512507418   0.519901334
## 4590         High 0.367873423   0.366491977
## 4591         High 0.367873423   0.366491977
## 4592         High 0.367873423   0.366491977
## 4593          Low 0.367873423   0.366491977
## 4594          Low 0.574212683   0.582028008
## 4595         High 0.526813607   0.526517627
## 4596         High 0.416923213   0.423664346
## 4597         High 0.260970035   0.266646102
## 4598         High 0.682295152   0.683061017
## 4599         High 0.525084287   0.524776497
## 4600         High 0.732602628   0.228879416
## 4601         High 0.525084287   0.524776497
## 4602         High 0.210662558   0.208207457
## 4603         High 2.160077278   2.170935504
## 4604         High 0.462199942   0.461462689
## 4605         High 0.367873423   0.366491977
## 4606          Low 0.023581630   0.027636477
## 4607         High 0.996716881   0.082165494
## 4608          Low 0.465344159   0.472415978
## 4609         High 0.210662558   0.208207457
## 4610          Low 0.339575467   0.345788362
## 4611         High 0.528228505   0.535729786
## 4612         High 0.536089048   0.543644012
## 4613          Low 3.433485280   3.453040116
## 4614          Low 0.575391764   0.583215142
## 4615          Low 0.839506016   0.841345537
## 4616          Low 3.040458119   3.057328816
## 4617         High 0.150922430   0.155846938
## 4618         High 0.525084287   0.524776497
## 4619         High 0.575391764   0.583215142
## 4620          Low 0.669718283   0.678185854
## 4621          Low 0.606833937   0.496174485
## 4622          Low 0.210662558   0.208207457
## 4623          Low 0.210662558   0.208207457
## 4624         High 0.260970035   0.266646102
## 4625          Low 0.575391764   0.583215142
## 4626          Low 0.996716881   0.999630057
## 4627         High 0.682295152   0.683061017
## 4628         High 4.140934170   4.165320455
## 4629         High 0.669718283   0.678185854
## 4630          Low 0.575391764   0.583215142
## 4631         High 0.528228505   0.535729786
## 4632         High 1.311138610   1.316199097
## 4633         High 0.889813493   0.525172209
## 4634         High 0.996716881   0.999630057
## 4635         High 0.260970035   0.266646102
## 4636         High 0.760900584   0.762203277
## 4637         High 0.575391764   0.583215142
## 4638         High 0.603689720   0.603918757
## 4639         High 0.575391764   0.583215142
## 4640         High 0.760900584   0.009433757
## 4641         High 0.575391764   0.583215142
## 4642         High 1.405465128   1.411169809
## 4643          Low 0.022009521   0.018266034
## 4644          Low 0.418180900   0.424930622
## 4645         High 0.210662558   0.208207457
## 4646          Low 0.198085689   0.203332294
## 4647         High 0.260970035   0.266646102
## 4648         High 0.339575467   0.345788362
## 4649         High 1.153927745   1.157914577
## 4650          Low 0.103759171   0.108361582
## 4651          Low 0.210662558   0.208207457
## 4652          Low 0.210662558   0.208207457
## 4653          Low 1.091043400   1.094600769
## 4654         High 0.025153738   0.029219322
## 4655          Low 0.575391764   0.583215142
## 4656         High 0.418180900   0.424930622
## 4657         High 0.053451694   0.049922938
## 4658         High 0.622555023   0.630700498
## 4659          Low 0.198085689   0.203332294
## 4660         High 0.132057126   0.129065198
## 4661         High 3.606417231   3.627153088
## 4662         High 0.603689720   0.603918757
## 4663          Low 2.175798364   2.186763956
## 4664         High 0.210662558   0.208207457
## 4665          Low 0.418180900   0.424930622
## 4666         High 0.339575467   0.345788362
## 4667         High 0.025153738   0.029219322
## 4668         High 0.543949591   0.551558238
## 4669          Low 0.622555023   0.207099466
## 4670         High 0.889813493   0.610740820
## 4671          Low 0.760900584   0.762203277
## 4672         High 0.056595911   0.053088628
## 4673          Low 0.292412208   0.298303006
## 4674         High 3.716464836   3.737952251
## 4675          Low 0.339575467   0.345788362
## 4676         High 3.543532885   3.563839280
## 4677         High 0.559670678   0.567386690
## 4678         High 0.270402687   0.169174495
## 4679         High 0.367873423   0.378300003
## 4680         High 0.187080929   0.196272805
## 4681          Low 0.389882944   0.384631383
## 4682         High 0.081749650   0.090222176
## 4683         High 0.526656396   0.522338916
## 4684          Low 0.526656396   0.522338916
## 4685          Low 1.103620269   0.991430919
## 4686          Low 1.182225701   1.088807556
## 4687          Low 0.160355082   0.169364436
## 4688         High 0.474776811   0.485933476
## 4689         High 0.547093808   0.542915903
## 4690          Low 0.232672079   0.226346863
## 4691          Low 0.581680199   0.577738498
## 4692         High 0.075461215   0.068062344
## 4693          Low 0.484209463   0.479602095
## 4694          Low 0.020437412   0.012662762
## 4695          Low 0.378878183   0.373551467
## 4696         High 0.402459813   0.413122597
## 4697         High 0.264114252   0.258003767
## 4698         High 0.168215625   0.177278662
## 4699         High 0.542377482   0.538167368
## 4700          Low 0.081749650   0.090222176
## 4701          Low 0.581680199   0.577738498
## 4702         High 0.347436011   0.341894563
## 4703          Low 0.020437412   0.012662762
## 4704         High 0.378878183   0.373551467
## 4705          Low 0.521940070   0.533418832
## 4706          Low 0.647708762   0.660046448
## 4707          Low 0.437046203   0.432116739
## 4708          Low 0.735746846   0.748685779
## 4709          Low 0.567499779   0.563461234
## 4710         High 0.163609347   0.156812474
## 4711          Low 0.081749650   0.090222176
## 4712         High 0.474776811   0.485933476
## 4713          Low 0.742035280   0.543501556
## 4714          Low 0.946409404   0.796677646
## 4715          Low 0.238960514   0.248506696
## 4716         High 0.553382243   0.565075736
## 4717          Low 0.137135037   0.130157361
## 4718         High 0.279835339   0.273832219
## 4719          Low 0.213806776   0.207352721
## 4720         High 0.182364603   0.175695817
## 4721         High 0.081749650   0.090222176
## 4722         High 0.232672079   0.226346863
## 4723         High 0.441762529   0.436865275
## 4724         High 0.279835339   0.273832219
## 4725         High 0.389882944   0.384631383
## 4726         High 0.185508820   0.178861507
## 4727         High 0.547093808   0.542915903
## 4728          Low 0.506218984   0.517590380
## 4729          Low 0.378878183   0.373551467
## 4730          Low 0.389882944   0.384631383
## 4731          Low 0.018865304   0.026908368
## 4732         High 0.594257068   0.590401259
## 4733          Low 0.169787734   0.163033056
## 4734         High 0.213806776   0.207352721
## 4735         High 0.279835339   0.273832219
## 4736         High 0.405604030   0.400459835
## 4737          Low 1.025014836   0.894054282
## 4738         High 1.182225701   1.088807556
## 4739         High 0.499930549   0.495430547
## 4740         High 0.075461215   0.068062344
## 4741          Low 0.097470736   0.106050628
## 4742         High 0.389882944   0.384631383
## 4743         High 0.003144217   0.011079916
## 4744          Low 0.097470736   0.106050628
## 4745         High 0.828501256   0.842073646
## 4746         High 0.048861137   0.041280603
## 4747          Low 0.389882944   0.384631383
## 4748          Low 0.154066647   0.147204604
## 4749         High 0.437046203   0.432116739
## 4750          Low 0.737318954   0.750268624
## 4751         High 0.154066647   0.147204604
## 4752         High 0.160355082   0.169364436
## 4753         High 0.245248949   0.071924486
## 4754         High 1.150783528   1.049869564
## 4755          Low 1.025014836   0.989484019
## 4756          Low 1.197946787   1.177478544
## 4757         High 0.474776811   0.212417826
## 4758          Low 0.789198540   0.601924372
## 4759          Low 0.474776811   0.212417826
## 4760          Low 0.789198540   0.601924372
## 4761         High 0.553382243   0.476800459
## 4762         High 0.468488376   0.089953093
## 4763         High 0.547093808   0.542915903
## 4764         High 0.310255641   0.304460274
## 4765         High 0.458269670   0.469313602
## 4766         High 0.407176139   0.402042681
## 4767         High 0.248393166   0.242175315
## 4768          Low 0.504646875   0.516007535
## 4769          Low 0.317565946   0.327648956
## 4770          Low 0.631987675   0.644217996
## 4771          Low 0.081749650   0.090222176
## 4772         High 0.081749650   0.090222176
## 4773         High 0.946409404   0.904042035
## 4774         High 1.087899182   1.057847103
## 4775          Low 0.081749650   0.090222176
## 4776         High 0.081749650   0.090222176
## 4777          Low 0.081749650   0.090222176
## 4778          Low 0.075461215   0.068062344
## 4779          Low 0.396171378   0.406791216
## 4780         High 1.182225701   1.088807556
## 4781         High 0.537661157   0.549247284
## 4782          Low 0.248393166   0.242175315
## 4783          Low 0.437046203   0.432116739
## 4784         High 0.735746846   0.748685779
## 4785         High 0.468488376   0.463773643
## 4786         High 0.075461215   0.068062344
## 4787          Low 0.317565946   0.017664552
## 4788          Low 0.710593107   0.504547736
## 4789          Low 0.139603248   0.132642428
## 4790         High 0.139603248   0.132642428
## 4791          Low 0.504646875   0.516007535
## 4792         High 0.139603248   0.132642428
## 4793          Low 1.232533178   1.151139999
## 4794         High 1.232533178   1.151139999
## 4795          Low 0.547093808   0.542915903
## 4796         High 0.248393166   0.242175315
## 4797          Low 0.402459813   0.413122597
## 4798         High 0.158782973   0.167781591
## 4799         High 0.437046203   0.432116739
## 4800          Low 0.735746846   0.748685779
## 4801          Low 0.238960514   0.248506696
## 4802          Low 0.553382243   0.565075736
## 4803          Low 0.504646875   0.516007535
## 4804          Low 0.468488376   0.463773643
## 4805          Low 0.081749650   0.090222176
## 4806          Low 0.048861137   0.041280603
## 4807         High 0.267258470   0.276997910
## 4808          Low 0.528228505   0.523921761
## 4809         High 0.789198540   0.601924372
## 4810          Low 0.946409404   0.796677646
## 4811         High 0.578535981   0.574572807
## 4812          Low 0.549137550   0.544973602
## 4813         High 0.319609687   0.329706655
## 4814          Low 0.003144217   0.004748536
## 4815         High 0.484209463   0.479602095
## 4816          Low 0.578535981   0.574572807
## 4817         High 0.264114252   0.258003767
## 4818         High 0.168215625   0.177278662
## 4819         High 0.169787734   0.163033056
## 4820          Low 0.238960514   0.248506696
## 4821         High 0.358440771   0.352974479
## 4822          Low 0.326998598   0.321317575
## 4823          Low 0.484209463   0.479602095
## 4824          Low 0.311277512   0.305489123
## 4825         High 0.347436011   0.341894563
## 4826         High 0.710593107   0.723360256
## 4827         High 0.789198540   0.802502516
## 4828          Low 0.311277512   0.305489123
## 4829         High 0.421325117   0.416288287
## 4830          Low 0.091182301   0.083890796
## 4831         High 0.342719685   0.337146027
## 4832          Low 0.311419001   0.305631579
## 4833         High 0.343678671   0.353940015
## 4834          Low 0.110047605   0.102884938
## 4835         High 0.210662558   0.220015483
## 4836         High 0.389882944   0.384631383
## 4837         High 0.154066647   0.147204604
## 4838          Low 0.437046203   0.432116739
## 4839          Low 0.737318954   0.750268624
## 4840          Low 0.317565946   0.327648956
## 4841         High 0.397743487   0.392545609
## 4842         High 0.169787734   0.163033056
## 4843         High 0.374161857   0.384631383
## 4844         High 0.969991034   0.984529714
## 4845         High 0.207518341   0.216849792
## 4846          Low 0.504646875   0.516007535
## 4847         High 0.232672079   0.226346863
## 4848         High 0.389882944   0.384631383
## 4849         High 0.504646875   0.516007535
## 4850         High 0.078605432   0.071228034
## 4851         High 0.504646875   0.516007535
## 4852         High 0.187080929   0.196272805
## 4853         High 0.187080929   0.196272805
## 4854          Low 0.504646875   0.516007535
## 4855         High 0.097470736   0.090222176
## 4856          Low 0.437046203   0.432116739
## 4857          Low 0.735746846   0.748685779
## 4858          Low 0.504646875   0.516007535
## 4859         High 0.187080929   0.196272805
## 4860         High 0.468488376   0.463773643
## 4861         High 0.154066647   0.147204604
## 4862         High 0.544106802   0.539908497
## 4863          Low 0.155245729   0.164220189
## 4864          Low 0.542377482   0.538167368
## 4865          Low 0.531372722   0.527087451
## 4866         High 0.176076168   0.185192888
## 4867          Low 0.342719685   0.337146027
## 4868         High 0.631987675   0.644217996
## 4869         High 0.484209463   0.479602095
## 4870         High 0.531372722   0.527087451
## 4871         High 0.581680199   0.577738498
## 4872         High 0.460627833   0.455859417
## 4873         High 0.278263230   0.272249374
## 4874         High 0.154066647   0.147204604
## 4875          Low 0.160355082   0.169364436
## 4876         High 0.154066647   0.147204604
## 4877          Low 0.238960514   0.248506696
## 4878         High 0.349008119   0.359305860
## 4879         High 0.616266589   0.628389544
## 4880         High 0.257039763   0.250880964
## 4881         High 0.504646875   0.516007535
## 4882         High 0.567499779   0.563461234
## 4883          Low 0.163609347   0.156812474
## 4884          Low 0.059740129   0.052233892
## 4885          Low 0.081749650   0.090222176
## 4886         High 0.193369363   0.202604185
## 4887          Low 0.389882944   0.384631383
## 4888          Low 0.075461215   0.068062344
## 4889          Low 0.081749650   0.090222176
## 4890         High 0.078605432   0.071228034
## 4891          Low 0.389882944   0.384631383
## 4892         High 0.081749650   0.090222176
## 4893          Low 0.015721086   0.007914226
## 4894         High 0.232672079   0.226346863
## 4895         High 0.220095210   0.229512554
## 4896          Low 0.738891063   0.751851470
## 4897         High 0.389882944   0.384631383
## 4898          Low 0.484209463   0.479602095
## 4899          Low 0.452767290   0.447945191
## 4900          Low 0.468488376   0.463773643
## 4901         High 0.232672079   0.226346863
## 4902         High 0.187080929   0.196272805
## 4903         High 0.023581630   0.015828452
## 4904          Low 0.746751606   0.759765696
## 4905         High 0.311277512   0.305489123
## 4906          Low 0.081749650   0.090222176
## 4907          Low 0.619410806   0.631555234
## 4908          Low 0.187080929   0.196272805
## 4909          Low 0.372023790   0.382478714
## 4910          Low 0.081749650   0.090222176
## 4911          Low 0.484209463   0.479602095
## 4912          Low 0.097470736   0.106050628
## 4913         High 0.581680199   0.577738498
## 4914         High 0.160355082   0.169364436
## 4915         High 0.474776811   0.485933476
## 4916         High 0.154066647   0.147204604
## 4917         High 0.003144217   0.011079916
## 4918         High 0.238960514   0.248506696
## 4919         High 0.396171378   0.406791216
## 4920          Low 0.547093808   0.542915903
## 4921         High 0.081749650   0.090222176
## 4922         High 0.474776811   0.485933476
## 4923          Low 0.223239428   0.232678244
## 4924          Low 0.232672079   0.226346863
## 4925         High 0.437046203   0.432116739
## 4926          Low 0.735746846   0.748685779
## 4927         High 0.504646875   0.516007535
## 4928         High 0.504646875   0.516007535
## 4929          Low 0.187080929   0.196272805
## 4930          Low 0.581680199   0.577738498
## 4931         High 0.207518341   0.201021340
## 4932          Low 0.547093808   0.542915903
## 4933          Low 0.185508820   0.194689959
## 4934          Low 0.081749650   0.274465358
## 4935          Low 0.421325117   0.416288287
## 4936          Low 0.397743487   0.392545609
## 4937         High 0.169787734   0.163033056
## 4938         High 0.484209463   0.479602095
## 4939         High 0.223239428   0.232678244
## 4940          Low 0.378878183   0.373551467
## 4941         High 0.594257068   0.590401259
## 4942          Low 0.427613551   0.438448120
## 4943          Low 0.468488376   0.463773643
## 4944          Low 0.075461215   0.068062344
## 4945         High 0.578535981   0.574572807
## 4946         High 0.047163259   0.055399582
## 4947         High 0.507791092   0.503344773
## 4948          Low 0.372589749   0.383048538
## 4949         High 0.547093808   0.542915903
## 4950          Low 0.311277512   0.305489123
## 4951         High 0.357654717   0.352183057
## 4952          Low 0.081749650   0.274465358
## 4953         High 0.553382243   0.309794462
## 4954         High 0.313541348   0.323596873
## 4955         High 0.527992688   0.539512786
## 4956         High 0.081749650   0.090222176
## 4957         High 0.081749650   0.090222176
## 4958         High 0.311277512   0.305489123
## 4959         High 0.710593107   0.723360256
## 4960         High 0.836361799   0.849987872
## 4961          Low 0.081749650   0.090222176
## 4962          Low 0.396171378   0.406791216
## 4963          Low 0.581680199   0.577738498
## 4964          Low 0.468488376   0.463773643
## 4965          Low 0.081749650   0.090222176
## 4966          Low 0.402459813   0.413122597
## 4967         High 0.484209463   0.479602095
## 4968         High 0.075461215   0.068062344
## 4969         High 0.160355082   0.169364436
## 4970          Low 0.448050964   0.443196656
## 4971         High 0.537661157   0.549247284
## 4972          Low 0.757756367   0.770845612
## 4973          Low 0.484209463   0.479602095
## 4974          Low 0.726314194   0.739188708
## 4975          Low 0.867803972   0.881644776
## 4976          Low 0.358440771   0.352974479
## 4977         High 0.867803972   0.881644776
## 4978         High 0.710593107   0.647684427
## 4979         High 0.820640713   0.767315867
## 4980          Low 1.323715479   1.340669884
## 4981          Low 0.468488376   0.463773643
## 4982          Low 0.232672079   0.226346863
## 4983          Low 0.547093808   0.542915903
## 4984         High 1.103620269   0.991430919
## 4985         High 1.103620269   0.991430919
## 4986         High 0.426041443   0.421036823
## 4987          Low 0.238960514   0.248506696
## 4988         High 0.396171378   0.406791216
## 4989          Low 0.187080929   0.196272805
## 4990          Low 0.187080929   0.196272805
## 4991          Low 0.437046203   0.432116739
## 4992         High 0.737318954   0.750268624
## 4993         High 0.326998598   0.337146027
## 4994          Low 0.036158499   0.028491214
## 4995          Low 0.003144217   0.011079916
## 4996         High 0.474776811   0.485933476
## 4997         High 0.547093808   0.542915903
## 4998         High 0.113191822   0.121879080
## 4999          Low 0.581680199   0.577738498
## 5000         High 0.154066647   0.147204604
## 5001          Low 0.317565946   0.327648956
## 5002          Low 0.232672079   0.226346863
## 5003          Low 0.238174460   0.231886822
## 5004          Low 0.484209463   0.495430547
## 5005         High 0.269585190   0.279340521
## 5006          Low 0.342719685   0.337146027
## 5007         High 1.260831133   1.277356076
## 5008          Low 0.366301314   0.360888705
## 5009         High 0.320710164   0.314986195
## 5010          Low 0.426041443   0.421036823
## 5011         High 0.396328589   0.391121049
## 5012          Low 0.207518341   0.216849792
## 5013         High 0.056595911   0.049068201
## 5014         High 0.251537383   0.245341006
## 5015         High 0.504646875   0.516007535
## 5016         High 0.091182301   0.083890796
## 5017         High 0.389882944   0.384631383
## 5018          Low 0.001572109   0.006331381
## 5019          Low 0.304989077   0.314986195
## 5020          Low 0.528228505   0.523921761
## 5021         High 0.075461215   0.083890796
## 5022          Low 0.455911507   0.451110882
## 5023         High 0.031442173   0.039571130
## 5024          Low 0.003144217   0.011079916
## 5025         High 0.317565946   0.327648956
## 5026          Low 0.075461215   0.068062344
## 5027         High 0.160355082   0.169364436
## 5028          Low 0.154066647   0.163033056
## 5029          Low 0.745179498   0.758182850
## 5030          Low 0.075461215   0.068062344
## 5031         High 0.301844860   0.311820504
## 5032         High 0.311277512   0.305489123
## 5033         High 0.278263230   0.288077826
## 5034         High 0.402459813   0.413122597
## 5035         High 0.440190421   0.435282430
## 5036          Low 0.333287033   0.343477408
## 5037         High 0.191797255   0.201021340
## 5038          Low 0.291626154   0.285703558
## 5039          Low 0.297128534   0.291243517
## 5040          Low 0.232672079   0.226346863
## 5041         High 0.075461215   0.083890796
## 5042          Low 0.362371043   0.356931592
## 5043         High 0.158782973   0.151953139
## 5044          Low 0.073889106   0.066479498
## 5045         High 0.691727804   0.704366114
## 5046         High 0.474776811   0.485933476
## 5047         High 0.504646875   0.516007535
## 5048          Low 0.523669390   0.519331510
## 5049          Low 0.152651749   0.161608495
## 5050          Low 0.075461215   0.068062344
## 5051          Low 0.441762529   0.436865275
## 5052          Low 0.119480257   0.254648136
## 5053         High 0.503074766   0.422113158
## 5054         High 0.083321758   0.075976570
## 5055         High 0.018865304   0.026908368
## 5056          Low 0.402459813   0.413122597
## 5057         High 0.279835339   0.273832219
## 5058         High 0.619410806   0.631555234
## 5059         High 0.367873423   0.378300003
## 5060          Low 0.468488376   0.463773643
## 5061         High 0.356868662   0.367220086
## 5062         High 0.004716326   0.003165690
## 5063          Low 0.051879585   0.044319666
## 5064          Low 0.415036682   0.425785359
## 5065          Low 0.020437412   0.012662762
## 5066         High 0.075461215   0.068062344
## 5067         High 0.232672079   0.226346863
## 5068         High 0.003144217   0.011079916
## 5069          Low 0.075461215   0.068062344
## 5070          Low 0.278263230   0.288077826
## 5071          Low 0.710593107   0.723360256
## 5072         High 0.789198540   0.802502516
## 5073          Low 0.154066647   0.147204604
## 5074         High 0.468488376   0.463773643
## 5075          Low 0.081749650   0.090222176
## 5076         High 0.003144217   0.011079916
## 5077         High 0.160355082   0.169364436
## 5078         High 0.020437412   0.012662762
## 5079          Low 0.358440771   0.352974479
## 5080          Low 0.372589749   0.383048538
## 5081          Low 0.452767290   0.447945191
## 5082         High 0.081749650   0.090222176
## 5083         High 0.594257068   0.590401259
## 5084         High 0.342719685   0.337146027
## 5085          Low 0.484209463   0.479602095
## 5086         High 0.334859141   0.345060253
## 5087          Low 0.081749650   0.090222176
## 5088         High 0.474776811   0.485933476
## 5089          Low 0.238960514   0.248506696
## 5090         High 0.174504060   0.183610043
## 5091          Low 0.548665917   0.544498748
## 5092          Low 0.347436011   0.341894563
## 5093          Low 0.484209463   0.479602095
## 5094         High 0.484209463   0.479602095
## 5095         High 0.484209463   0.479602095
## 5096         High 0.295556425   0.289660671
## 5097         High 0.430757769   0.425785359
## 5098         High 0.484209463   0.479602095
## 5099         High 0.474776811   0.485933476
## 5100          Low 0.430757769   0.425785359
## 5101          Low 0.091182301   0.083890796
## 5102         High 0.018865304   0.026908368
## 5103         High 0.484209463   0.479602095
## 5104         High 0.317565946   0.327648956
## 5105         High 0.474776811   0.485933476
## 5106          Low 0.201229907   0.194689959
## 5107          Low 0.100614953   0.093387867
## 5108         High 0.429185660   0.424202513
## 5109         High 0.317565946   0.327648956
## 5110         High 0.474776811   0.485933476
## 5111         High 0.177365297   0.186490821
## 5112         High 0.836959200   0.850589353
## 5113          Low 0.154066647   0.147204604
## 5114          Low 0.504646875   0.516007535
## 5115          Low 0.547093808   0.542915903
## 5116          Low 0.075461215   0.068062344
## 5117         High 0.404031922   0.398876990
## 5118         High 0.510935310   0.522338916
## 5119         High 0.204374124   0.197855650
## 5120          Low 0.506218984   0.517590380
## 5121          Low 0.503074766   0.498596238
## 5122          Low 0.627271349   0.639469460
## 5123         High 0.226949604   0.220585307
## 5124          Low 0.547502557   0.559155895
## 5125         High 0.003144217   0.011079916
## 5126         High 0.600545502   0.612561092
## 5127          Low 0.050307477   0.058565272
## 5128          Low 0.163970932   0.173004980
## 5129         High 0.367873423   0.378300003
## 5130          Low 0.437046203   0.432116739
## 5131         High 0.735746846   0.748685779
## 5132         High 0.003144217   0.011079916
## 5133         High 0.474776811   0.485933476
## 5134         High 1.106764486   1.078344949
## 5135          Low 1.182225701   1.088364359
## 5136          Low 0.235187453   0.228879416
## 5137         High 0.185508820   0.194689959
## 5138         High 0.216950993   0.210518411
## 5139         High 0.531372722   0.542915903
## 5140         High 0.169001679   0.162241633
## 5141         High 0.560142310   0.571881970
## 5142          Low 0.561242786   0.557161510
## 5143          Low 0.169787734   0.163033056
## 5144          Low 0.238960514   0.248506696
## 5145         High 0.187080929   0.196272805
## 5146         High 0.459055724   0.470105024
## 5147         High 0.220095210   0.213684102
## 5148         High 0.389882944   0.384631383
## 5149         High 0.311277512   0.305489123
## 5150         High 0.121052366   0.129793306
## 5151         High 0.081749650   0.090222176
## 5152         High 0.474776811   0.485933476
## 5153         High 1.339436565   1.331283612
## 5154          Low 0.304989077   0.299157743
## 5155          Low 0.078605432   0.071228034
## 5156          Low 0.185508820   0.194689959
## 5157         High 0.075461215   0.068062344
## 5158          Low 0.246821057   0.256420922
## 5159         High 0.631987675   0.644217996
## 5160          Low 0.317565946   0.327648956
## 5161          Low 0.682295152   0.694869042
## 5162          Low 0.749895824   0.553236054
## 5163         High 0.797059083   0.611674699
## 5164         High 0.169787734   0.163033056
## 5165         High 0.514079527   0.525504606
## 5166          Low 0.039019737   0.031371992
## 5167          Low 0.484209463   0.479602095
## 5168          Low 0.334859141   0.329231801
## 5169          Low 0.154066647   0.147204604
## 5170          Low 0.293984317   0.303906278
## 5171         High 1.018726402   1.033597915
## 5172         High 0.484209463   0.479602095
## 5173          Low 0.023581630   0.015828452
## 5174          Low 0.128912909   0.137707532
## 5175         High 0.232672079   0.226346863
## 5176          Low 0.270402687   0.280163600
## 5177         High 0.710593107   0.723360256
## 5178          Low 0.279835339   0.273832219
## 5179         High 0.182474650   0.191635068
## 5180          Low 0.378878183   0.373551467
## 5181         High 0.238174460   0.231886822
## 5182          Low 0.484209463   0.495430547
## 5183         High 0.007860543   0.000000000
## 5184         High 0.295556425   0.289660671
## 5185         High 0.295556425   0.289660671
## 5186         High 0.356868662   0.367220086
## 5187         High 0.081749650   0.274465358
## 5188          Low 0.160355082   0.169364436
## 5189         High 0.396171378   0.406791216
## 5190          Low 0.405604030   0.400459835
## 5191         High 0.075461215   0.068062344
## 5192          Low 0.356868662   0.367220086
## 5193          Low 0.437046203   0.432116739
## 5194          Low 0.735746846   0.748685779
## 5195         High 0.389882944   0.384631383
## 5196         High 0.415036682   0.425785359
## 5197         High 0.960558382   0.975032643
## 5198         High 0.504646875   0.516007535
## 5199         High 0.396171378   0.406791216
## 5200          Low 0.396171378   0.406791216
## 5201         High 0.232672079   0.226346863
## 5202         High 0.075461215   0.068062344
## 5203         High 0.238960514   0.248506696
## 5204         High 0.014148978   0.022159833
## 5205         High 0.548665917   0.544498748
## 5206         High 0.034586390   0.042736820
## 5207         High 0.154066647   0.147204604
## 5208          Low 0.384380564   0.394919877
## 5209         High 0.892171656   0.906178876
## 5210          Low 0.308133294   0.318151885
## 5211         High 0.757756367   0.770845612
## 5212          Low 0.106903388   0.099719248
## 5213         High 0.226949604   0.220585307
## 5214          Low 0.547502557   0.559155895
## 5215         High 0.099467314   0.108060842
## 5216          Low 0.739504185   0.752468779
## 5217         High 0.515651636   0.511258999
## 5218          Low 0.309705403   0.319734730
## 5219         High 0.025153738   0.017411297
## 5220         High 0.311277512   0.305489123
## 5221         High 0.389882944   0.384631383
## 5222          Low 0.402459813   0.413122597
## 5223          Low 0.416797444   0.411729693
## 5224          Low 0.477921028   0.489099167
## 5225         High 0.653997196   0.666377829
## 5226         High 0.523669390   0.519331510
## 5227         High 0.152651749   0.161608495
## 5228         High 0.474776811   0.212417826
## 5229         High 0.789198540   0.601924372
## 5230          Low 0.547093808   0.542915903
## 5231         High 0.507791092   0.503344773
## 5232         High 0.372589749   0.383048538
## 5233         High 0.534516939   0.530253142
## 5234         High 0.144633995   0.196557717
## 5235         High 0.631987675   0.407171099
## 5236          Low 0.238960514   0.248506696
## 5237         High 0.161927190   0.155118830
## 5238          Low 0.075461215   0.068062344
## 5239         High 0.553382243   0.565075736
## 5240         High 0.578535981   0.574572807
## 5241         High 0.050307477   0.058565272
## 5242          Low 0.572247547   0.568241426
## 5243         High 0.254681600   0.248506696
## 5244         High 0.484209463   0.479602095
## 5245         High 0.789198540   0.802502516
## 5246          Low 0.883525058   0.897473228
## 5247         High 0.468488376   0.463773643
## 5248          Low 0.075461215   0.068062344
## 5249         High 0.389882944   0.384631383
## 5250          Low 0.003144217   0.011079916
## 5251         High 0.553382243   0.565075736
## 5252          Low 0.003144217   0.011079916
## 5253         High 0.081749650   0.090222176
## 5254          Low 0.020437412   0.012662762
## 5255         High 0.631987675   0.407171099
## 5256         High 0.163499299   0.156701675
## 5257          Low 0.400887704   0.411539752
## 5258          Low 0.564387003   0.560327200
## 5259         High 0.287695882   0.297574897
## 5260          Low 0.449623072   0.444779501
## 5261         High 0.232672079   0.226346863
## 5262         High 0.317565946   0.327648956
## 5263         High 0.311277512   0.305489123
## 5264         High 0.452767290   0.447945191
## 5265          Low 0.547093808   0.542915903
## 5266          Low 0.631987675   0.644217996
## 5267         High 1.025014836   0.894054282
## 5268         High 1.025014836   0.894054282
## 5269         High 0.075461215   0.068062344
## 5270          Low 0.499930549   0.511258999
## 5271          Low 0.389882944   0.384631383
## 5272          Low 0.125768692   0.134541842
## 5273         High 0.616266589   0.628389544
## 5274          Low 0.547093808   0.542915903
## 5275          Low 0.334859141   0.345060253
## 5276          Low 0.389882944   0.384631383
## 5277         High 0.057067544   0.065371507
## 5278          Low 0.201229907   0.194689959
## 5279         High 0.342719685   0.337146027
## 5280         High 1.018726402   0.146872206
## 5281         High 0.547093808   0.542915903
## 5282         High 0.484209463   0.479602095
## 5283          Low 0.177365297   0.186490821
## 5284          Low 0.836959200   0.850589353
## 5285         High 0.460627833   0.455859417
## 5286         High 0.484209463   0.479602095
## 5287          Low 0.018865304   0.026908368
## 5288          Low 0.075461215   0.068062344
## 5289         High 0.238960514   0.248506696
## 5290         High 0.154066647   0.147204604
## 5291         High 0.594257068   0.590401259
## 5292         High 0.185508820   0.178861507
## 5293         High 0.389882944   0.384631383
## 5294         High 0.075461215   0.068062344
## 5295          Low 0.710593107   0.504547736
## 5296         High 0.946409404   0.796677646
## 5297          Low 0.389882944   0.384631383
## 5298         High 0.063481747   0.056001063
## 5299         High 0.580516838   0.592395644
## 5300         High 0.820640713   0.767315867
## 5301          Low 0.899246145   0.852773679
## 5302          Low 0.383594509   0.394128455
## 5303          Low 0.808063843   0.821496658
## 5304         High 0.749895824   0.553236054
## 5305          Low 0.797059083   0.611674699
## 5306         High 0.232672079   0.226346863
## 5307         High 0.075461215   0.068062344
## 5308         High 0.578535981   0.574572807
## 5309         High 0.304989077   0.299157743
## 5310         High 0.631987675   0.644217996
## 5311         High 0.710593107   0.723360256
## 5312         High 0.422897225   0.417871133
## 5313         High 0.578535981   0.590401259
## 5314         High 0.075461215   0.068062344
## 5315          Low 0.547093808   0.542915903
## 5316         High 0.278263230   0.288077826
## 5317         High 0.671290391   0.683789126
## 5318         High 0.578535981   0.574572807
## 5319          Low 0.358440771   0.352974479
## 5320         High 0.389882944   0.384631383
## 5321          Low 0.539233265   0.535001677
## 5322         High 0.014148978   0.022159833
## 5323         High 0.374161857   0.368802931
## 5324         High 0.527442450   0.523130338
## 5325         High 0.232672079   0.226346863
## 5326         High 0.081749650   0.090222176
## 5327          Low 0.389882944   0.384631383
## 5328         High 0.542377482   0.538167368
## 5329         High 0.562814895   0.558744355
## 5330         High 0.238960514   0.248506696
## 5331         High 0.789198540   0.802502516
## 5332         High 0.542377482   0.538167368
## 5333         High 1.087899182   1.103243104
## 5334         High 0.081749650   0.090222176
## 5335         High 0.081749650   0.090222176
## 5336          Low 0.180792494   0.174112972
## 5337         High 0.185508820   0.194689959
## 5338          Low 0.396171378   0.406791216
## 5339         High 0.867803972   0.881644776
## 5340         High 0.238960514   0.248506696
## 5341         High 0.553382243   0.565075736
## 5342         High 0.867803972   0.881644776
## 5343         High 0.631987675   0.562242443
## 5344         High 0.075461215   0.068062344
## 5345         High 0.474776811   0.485933476
## 5346          Low 0.977851577   0.938215663
## 5347         High 1.087899182   1.057847103
## 5348          Low 0.396171378   0.406791216
## 5349          Low 0.020437412   0.012662762
## 5350          Low 0.389882944   0.384631383
## 5351         High 0.389882944   0.384631383
## 5352         High 0.334859141   0.329231801
## 5353         High 0.427613551   0.438448120
## 5354          Low 0.378878183   0.373551467
## 5355          Low 0.232672079   0.226346863
## 5356         High 0.232672079   0.226346863
## 5357          Low 0.581680199   0.577738498
## 5358         High 0.515651636   0.511258999
## 5359          Low 0.017293195   0.009497071
## 5360         High 0.542377482   0.538167368
## 5361         High 0.343096991   0.049289799
## 5362         High 0.631924791   0.407091957
## 5363         High 0.409534302   0.404416948
## 5364         High 0.360012880   0.354557325
## 5365          Low 0.169787734   0.163033056
## 5366         High 0.238960514   0.248506696
## 5367          Low 0.122624474   0.115547700
## 5368         High 0.765616910   0.778759838
## 5369          Low 1.087899182   1.057847103
## 5370         High 0.520367961   0.516007535
## 5371         High 0.086465975   0.079142260
## 5372         High 0.402459813   0.413122597
## 5373         High 0.081749650   0.090222176
## 5374         High 0.474776811   0.485933476
## 5375          Low 0.946409404   0.904042035
## 5376          Low 1.087899182   1.057847103
## 5377          Low 0.507791092   0.503344773
## 5378          Low 0.372589749   0.383048538
## 5379          Low 0.389882944   0.384631383
## 5380         High 0.396171378   0.406791216
## 5381         High 0.014148978   0.022159833
## 5382          Low 0.279835339   0.273832219
## 5383          Low 0.093556185   0.086280892
## 5384          Low 0.605403318   0.617452084
## 5385          Low 0.526656396   0.522338916
## 5386          Low 0.159726238   0.168731298
## 5387          Low 0.720025759   0.732857327
## 5388         High 0.547093808   0.542915903
## 5389         High 0.506218984   0.251371646
## 5390         High 0.726314194   0.524032560
## 5391          Low 0.034586390   0.042736820
## 5392          Low 0.270402687   0.264335148
## 5393          Low 0.396171378   0.406791216
## 5394         High 0.553382243   0.565075736
## 5395         High 0.232672079   0.226346863
## 5396         High 0.238960514   0.248506696
## 5397          Low 0.867803972   0.881644776
## 5398         High 0.710593107   0.504547736
## 5399         High 0.946409404   0.796677646
## 5400         High 0.389882944   0.384631383
## 5401          Low 0.389882944   0.384631383
## 5402         High 0.867803972   0.881644776
## 5403         High 0.408748248   0.403625526
## 5404         High 0.081749650   0.090222176
## 5405         High 0.014148978   0.022159833
## 5406          Low 0.232672079   0.226346863
## 5407          Low 0.279835339   0.273832219
## 5408         High 0.014148978   0.022159833
## 5409         High 0.710593107   0.504547736
## 5410         High 0.789198540   0.601924372
## 5411         High 0.484209463   0.479602095
## 5412         High 0.452767290   0.447945191
## 5413          Low 0.003144217   0.011079916
## 5414          Low 1.370878738   1.365457239
## 5415          Low 0.389882944   0.384631383
## 5416          Low 0.081749650   0.090222176
## 5417          Low 0.311277512   0.305489123
## 5418          Low 0.405604030   0.400459835
## 5419          Low 0.270402687   0.280163600
## 5420         High 0.396171378   0.406791216
## 5421          Low 0.867803972   0.881644776
## 5422         High 0.421325117   0.416288287
## 5423         High 0.311277512   0.305489123
## 5424         High 0.154066647   0.147204604
## 5425         High 0.279835339   0.273832219
## 5426          Low 0.389882944   0.384631383
## 5427          Low 0.136773452   0.129793306
## 5428          Low 0.279835339   0.273832219
## 5429          Low 0.380450292   0.390962764
## 5430         High 0.396171378   0.406791216
## 5431          Low 0.279835339   0.273832219
## 5432         High 0.396171378   0.406791216
## 5433         High 0.474776811   0.485933476
## 5434         High 0.389882944   0.384631383
## 5435          Low 0.820640713   0.834159420
## 5436         High 0.899246145   0.913301680
## 5437          Low 0.710593107   0.504547736
## 5438         High 0.311277512   0.305489123
## 5439          Low 0.389882944   0.384631383
## 5440          Low 0.749895824   0.553236054
## 5441          Low 0.797059083   0.611674699
## 5442         High 0.311277512   0.305489123
## 5443          Low 0.154066647   0.147204604
## 5444         High 0.389882944   0.384631383
## 5445          Low 0.057067544   0.065371507
## 5446          Low 0.154066647   0.147204604
## 5447          Low 0.279835339   0.273832219
## 5448          Low 0.867803972   0.881644776
## 5449          Low 0.396171378   0.406791216
## 5450          Low 0.553382243   0.565075736
## 5451          Low 0.404283459   0.399130245
## 5452          Low 0.232672079   0.226346863
## 5453         High 0.389882944   0.384631383
## 5454          Low 0.484209463   0.479602095
## 5455         High 0.484209463   0.479602095
## 5456          Low 0.220299584   0.213889872
## 5457         High 0.389882944   0.384631383
## 5458          Low 0.334859141   0.345060253
## 5459         High 0.014148978   0.022159833
## 5460         High 0.311277512   0.305489123
## 5461         High 0.468488376   0.463773643
## 5462          Low 0.138345561   0.131376152
## 5463         High 0.311277512   0.305489123
## 5464         High 0.081749650   0.090222176
## 5465         High 0.437046203   0.432116739
## 5466         High 0.548665917   0.544498748
## 5467         High 0.177349576   0.186474993
## 5468          Low 0.836959200   0.850589353
## 5469         High 0.213806776   0.207352721
## 5470         High 0.474776811   0.485933476
## 5471         High 0.391455053   0.386214229
## 5472          Low 0.495890230   0.491362635
## 5473         High 0.166643516   0.175695817
## 5474          Low 0.028297956   0.020576988
## 5475         High 0.028297956   0.020576988
## 5476          Low 0.459055724   0.470105024
## 5477         High 0.867803972   0.818584223
## 5478          Low 1.025014836   0.989484019
## 5479          Low 0.383594509   0.394128455
## 5480          Low 0.808063843   0.821496658
## 5481         High 0.311277512   0.305489123
## 5482         High 0.515651636   0.511258999
## 5483          Low 0.441762529   0.436865275
## 5484         High 0.232672079   0.226346863
## 5485          Low 0.311277512   0.305489123
## 5486         High 0.154066647   0.147204604
## 5487          Low 0.529800613   0.525504606
## 5488          Low 0.081749650   0.074393724
## 5489          Low 0.584824416   0.596732640
## 5490         High 0.651639033   0.664003561
## 5491          Low 0.924399883   0.938627203
## 5492          Low 0.160355082   0.169364436
## 5493         High 0.543949591   0.555578665
## 5494         High 0.343898766   0.338333161
## 5495          Low 0.091182301   0.083890796
## 5496          Low 0.297128534   0.291243517
## 5497         High 0.587968633   0.584069878
## 5498          Low 0.402459813   0.413122597
## 5499         High 0.075461215   0.068062344
## 5500         High 0.034586390   0.042736820
## 5501         High 0.396171378   0.406791216
## 5502         High 0.553382243   0.565075736
## 5503         High 0.238960514   0.248506696
## 5504          Low 0.396171378   0.406791216
## 5505          Low 0.867803972   0.699301009
## 5506          Low 1.025014836   0.894054282
## 5507         High 0.389882944   0.384631383
## 5508          Low 0.389882944   0.384631383
## 5509         High 0.378878183   0.373551467
## 5510         High 0.124196583   0.132958997
## 5511          Low 0.547093808   0.542915903
## 5512          Low 0.389882944   0.384631383
## 5513         High 0.051879585   0.044319666
## 5514         High 0.154066647   0.147204604
## 5515         High 0.389882944   0.384631383
## 5516         High 0.122624474   0.115547700
## 5517         High 0.079391487   0.072019457
## 5518         High 0.946409404   0.796677646
## 5519         High 1.087899182   0.971961923
## 5520          Low 0.484209463   0.479602095
## 5521          Low 0.018865304   0.026908368
## 5522          Low 0.484209463   0.479602095
## 5523         High 0.317565946   0.327648956
## 5524         High 0.411892465   0.422619668
## 5525          Low 0.430757769   0.425785359
## 5526          Low 0.405604030   0.400459835
## 5527         High 0.389882944   0.384631383
## 5528          Low 0.025153738   0.017411297
## 5529         High 0.389882944   0.384631383
## 5530         High 0.034586390   0.026908368
## 5531         High 0.058168020   0.066479498
## 5532         High 0.396171378   0.406791216
## 5533         High 0.553382243   0.565075736
## 5534          Low 0.474776811   0.391342647
## 5535         High 0.081749650   0.090222176
## 5536         High 0.468488376   0.463773643
## 5537         High 0.389882944   0.384631383
## 5538          Low 0.154066647   0.147204604
## 5539         High 0.075461215   0.068062344
## 5540          Low 0.544106802   0.539908497
## 5541         High 0.155245729   0.164220189
## 5542          Low 0.144633995   0.153535984
## 5543          Low 0.547093808   0.542915903
## 5544          Low 0.311277512   0.305489123
## 5545         High 0.169787734   0.163033056
## 5546         High 0.174504060   0.167781591
## 5547         High 0.547093808   0.542915903
## 5548         High 0.311277512   0.305489123
## 5549          Low 0.328570707   0.322900421
## 5550          Low 0.311277512   0.305489123
## 5551         High 0.122624474   0.115547700
## 5552         High 0.232672079   0.242175315
## 5553         High 0.531372722   0.527087451
## 5554         High 0.295556425   0.289660671
## 5555         High 0.100614953   0.093387867
## 5556         High 0.223239428   0.232678244
## 5557         High 0.539233265   0.550830129
## 5558         High 0.883525058   0.897473228
## 5559         High 0.358440771   0.352974479
## 5560         High 0.389882944   0.384631383
## 5561         High 0.034586390   0.042736820
## 5562         High 0.177365297   0.186490821
## 5563         High 0.836959200   0.850589353
## 5564         High 0.547093808   0.542915903
## 5565         High 0.547093808   0.542915903
## 5566          Low 0.122624474   0.115547700
## 5567         High 0.311277512   0.305489123
## 5568         High 0.396171378   0.406791216
## 5569         High 0.154066647   0.147204604
## 5570         High 0.547093808   0.542915903
## 5571         High 0.389882944   0.148581679
## 5572         High 0.547093808   0.542915903
## 5573         High 0.946409404   0.904042035
## 5574         High 1.025014836   0.989484019
## 5575         High 0.350580228   0.345060253
## 5576         High 0.044019042   0.036405440
## 5577          Low 0.271974796   0.265917993
## 5578          Low 0.356868662   0.367220086
## 5579         High 0.081749650   0.074393724
## 5580         High 0.584824416   0.596732640
## 5581         High 0.160355082   0.169364436
## 5582         High 0.474776811   0.485933476
## 5583         High 0.484209463   0.479602095
## 5584         High 0.018865304   0.026908368
## 5585         High 0.389882944   0.384631383
## 5586          Low 0.003144217   0.011079916
## 5587          Low 0.034586390   0.042736820
## 5588          Low 0.081749650   0.090222176
## 5589         High 0.238960514   0.248506696
## 5590         High 0.710593107   0.723360256
## 5591         High 0.130485018   0.123461926
## 5592          Low 0.334859141   0.345060253
## 5593         High 0.334859141   0.345060253
## 5594         High 0.389882944   0.384631383
## 5595         High 0.057067544   0.065371507
## 5596         High 0.484209463   0.479602095
## 5597         High 0.389882944   0.384631383
## 5598         High 0.389882944   0.384631383
## 5599         High 0.334859141   0.345060253
## 5600          Low 0.100614953   0.093387867
## 5601         High 0.031442173   0.039571130
## 5602          Low 0.350580228   0.345060253
## 5603          Low 0.311277512   0.305489123
## 5604          Low 0.232672079   0.226346863
## 5605          Low 0.270402687   0.280163600
## 5606         High 0.044019042   0.036405440
## 5607         High 0.542377482   0.538167368
## 5608         High 0.389882944   0.384631383
## 5609         High 0.057067544   0.065371507
## 5610         High 0.334859141   0.345060253
## 5611         High 0.484209463   0.479602095
## 5612         High 0.223239428   0.232678244
## 5613         High 0.468488376   0.463773643
## 5614         High 0.075461215   0.068062344
## 5615          Low 0.003144217   0.371841994
## 5616          Low 0.396171378   0.115041189
## 5617          Low 1.134072013   1.029165948
## 5618          Low 0.389882944   0.384631383
## 5619          Low 0.358440771   0.352974479
## 5620         High 0.372589749   0.383048538
## 5621          Low 0.378878183   0.373551467
## 5622         High 0.581680199   0.577738498
## 5623          Low 0.553382243   0.476800459
## 5624         High 1.370878738   1.388155240
## 5625         High 0.867803972   0.699301009
## 5626         High 0.581680199   0.577738498
## 5627         High 0.474776811   0.212417826
## 5628         High 0.789198540   0.601924372
## 5629         High 0.099828899   0.092596444
## 5630         High 0.542377482   0.538167368
## 5631         High 0.375733966   0.370385777
## 5632          Low 0.097470736   0.090222176
## 5633          Low 0.468488376   0.463773643
## 5634         High 0.075461215   0.068062344
## 5635         High 0.430757769   0.425785359
## 5636         High 0.232672079   0.226346863
## 5637         High 0.081749650   0.090222176
## 5638          Low 0.238960514   0.248506696
## 5639          Low 0.220095210   0.213684102
## 5640          Low 0.430757769   0.425785359
## 5641         High 0.454339398   0.465356489
## 5642          Low 0.260970035   0.270666529
## 5643         High 0.177349576   0.186474993
## 5644         High 0.836959200   0.850589353
## 5645         High 0.547093808   0.542915903
## 5646          Low 0.547093808   0.542915903
## 5647         High 0.075461215   0.068062344
## 5648          Low 0.547093808   0.542915903
## 5649         High 0.081749650   0.090222176
## 5650          Low 0.474776811   0.485933476
## 5651         High 0.946409404   0.904042035
## 5652         High 1.087899182   1.057847103
## 5653          Low 0.081749650   0.090222176
## 5654          Low 0.474776811   0.485933476
## 5655         High 0.516280479   0.436469564
## 5656          Low 1.065260818   1.033233861
## 5657         High 0.547093808   0.542915903
## 5658         High 0.081749650   0.090222176
## 5659          Low 0.311277512   0.305489123
## 5660          Low 0.232672079   0.226346863
## 5661         High 0.342719685   0.337146027
## 5662         High 0.097470736   0.106050628
## 5663         High 0.389882944   0.384631383
## 5664         High 0.232672079   0.226346863
## 5665         High 0.426355864   0.421353392
## 5666         High 0.468488376   0.463773643
## 5667         High 0.238960514   0.248506696
## 5668         High 0.547093808   0.542915903
## 5669          Low 0.097470736   0.254980533
## 5670          Low 0.584824416   0.348748283
## 5671         High 0.238174460   0.231886822
## 5672         High 0.484209463   0.495430547
## 5673          Low 0.279835339   0.273832219
## 5674          Low 0.547093808   0.542915903
## 5675         High 0.238960514   0.248506696
## 5676          Low 0.430757769   0.425785359
## 5677          Low 0.034586390   0.042736820
## 5678          Low 0.238960514   0.248506696
## 5679         High 0.396171378   0.406791216
## 5680          Low 0.547093808   0.542915903
## 5681          Low 0.081749650   0.090222176
## 5682          Low 0.081749650   0.090222176
## 5683         High 0.154066647   0.147204604
## 5684          Low 0.003144217   0.011079916
## 5685         High 0.210662558   0.204187031
## 5686          Low 0.132057126   0.140873223
## 5687         High 0.081749650   0.090222176
## 5688          Low 0.946409404   0.904042035
## 5689         High 0.578535981   0.574572807
## 5690         High 0.358440771   0.352974479
## 5691         High 0.089610193   0.098136402
## 5692          Low 0.815924387   0.829410884
## 5693         High 0.311277512   0.305489123
## 5694          Low 0.578535981   0.590401259
## 5695         High 0.531372722   0.527087451
## 5696          Low 0.578535981   0.574572807
## 5697          Low 0.358440771   0.352974479
## 5698          Low 0.311277512   0.305489123
## 5699         High 0.358440771   0.352974479
## 5700          Low 0.372589749   0.383048538
## 5701         High 0.020437412   0.012662762
## 5702          Low 0.081749650   0.090222176
## 5703         High 0.540805374   0.536584522
## 5704          Low 0.306561186   0.316569040
## 5705          Low 0.081749650   0.090222176
## 5706          Low 0.594257068   0.590401259
## 5707          Low 0.160355082   0.169364436
## 5708         High 0.389882944   0.384631383
## 5709          Low 0.012576869   0.004748536
## 5710         High 0.081749650   0.274465358
## 5711          Low 0.410320356   0.405208371
## 5712         High 0.710593107   0.504547736
## 5713          Low 0.867803972   0.699301009
## 5714         High 0.581680199   0.577738498
## 5715          Low 0.100614953   0.093387867
## 5716          Low 0.389882944   0.384631383
## 5717          Low 0.456477466   0.451680706
## 5718         High 0.227955754   0.237426780
## 5719          Low 0.454339398   0.465356489
## 5720         High 0.389882944   0.384631383
## 5721          Low 0.154066647   0.147204604
## 5722         High 0.075461215   0.068062344
## 5723         High 0.553382243   0.565075736
## 5724         High 1.040735923   1.006578747
## 5725          Low 0.468488376   0.463773643
## 5726         High 0.161927190   0.155118830
## 5727         High 0.498358440   0.509676154
## 5728         High 0.059740129   0.052233892
## 5729         High 0.547093808   0.542915903
## 5730         High 0.484209463   0.479602095
## 5731         High 0.484209463   0.479602095
## 5732         High 0.075461215   0.068062344
## 5733          Low 0.155638756   0.148787449
## 5734          Low 0.193369363   0.186775733
## 5735          Low 0.290525678   0.300424019
## 5736         High 0.238960514   0.248506696
## 5737          Low 0.553382243   0.565075736
## 5738         High 0.100614953   0.093387867
## 5739         High 0.468488376   0.463773643
## 5740         High 0.075461215   0.068062344
## 5741          Low 0.174504060   0.167781591
## 5742          Low 0.402459813   0.413122597
## 5743          Low 0.048861137   0.041280603
## 5744          Low 0.468488376   0.463773643
## 5745         High 0.389882944   0.384631383
## 5746          Low 0.389882944   0.384631383
## 5747         High 0.592684959   0.604646866
## 5748         High 0.922827775   0.937044358
## 5749         High 1.025014836   0.989484019
## 5750         High 0.003144217   0.011079916
## 5751         High 0.427613551   0.438448120
## 5752         High 0.161927190   0.155118830
## 5753         High 0.498358440   0.509676154
## 5754         High 0.389882944   0.384631383
## 5755         High 0.154066647   0.147204604
## 5756         High 0.311277512   0.305489123
## 5757         High 0.075461215   0.068062344
## 5758          Low 0.160355082   0.169364436
## 5759         High 0.594257068   0.590401259
## 5760          Low 0.160355082   0.169364436
## 5761         High 0.311277512   0.305489123
## 5762         High 0.081749650   0.074393724
## 5763         High 0.584824416   0.596732640
## 5764         High 0.106903388   0.099719248
## 5765         High 0.581680199   0.577738498
## 5766          Low 0.452767290   0.447945191
## 5767         High 0.243378139   0.237126039
## 5768         High 0.515510146   0.526944995
## 5769         High 0.543163537   0.538958790
## 5770         High 0.484209463   0.479602095
## 5771         High 0.581680199   0.577738498
## 5772         High 1.386599825   1.403983692
## 5773          Low 0.110047605   0.102884938
## 5774          Low 0.581680199   0.577738498
## 5775         High 0.081749650   0.090222176
## 5776         High 0.410477567   0.405366655
## 5777         High 0.710593107   0.964696663
## 5778         High 1.103620269   1.119071556
## 5779         High 0.867803972   0.818584223
## 5780         High 0.548665917   0.544498748
## 5781         High 0.581680199   0.577738498
## 5782          Low 0.547093808   0.542915903
## 5783         High 0.334859141   0.329231801
## 5784          Low 0.483580619   0.478968957
## 5785          Low 0.538290000   0.549880422
## 5786         High 0.370231586   0.364845818
## 5787          Low 0.297914588   0.307863391
## 5788         High 0.238960514   0.079712084
## 5789         High 0.474776811   0.212417826
## 5790         High 0.405604030   0.400459835
## 5791          Low 0.270402687   0.280163600
## 5792          Low 0.441762529   0.436865275
## 5793          Low 0.238960514   0.248506696
## 5794          Low 0.474776811   0.485933476
## 5795          Low 0.389882944   0.384631383
## 5796         High 0.710593107   0.504547736
## 5797         High 0.867803972   0.699301009
## 5798         High 0.161927190   0.155118830
## 5799         High 0.498358440   0.509676154
## 5800         High 0.311277512   0.305489123
## 5801          Low 0.317565946   0.327648956
## 5802         High 0.396171378   0.406791216
## 5803          Low 0.553382243   0.565075736
## 5804         High 0.003144217   0.011079916
## 5805          Low 0.396171378   0.406791216
## 5806         High 0.160355082   0.169364436
## 5807          Low 0.232672079   0.226346863
## 5808         High 0.075461215   0.068062344
## 5809          Low 0.562814895   0.558744355
## 5810         High 0.232672079   0.226346863
## 5811          Low 0.356491356   0.351011751
## 5812         High 0.468488376   0.463773643
## 5813          Low 0.081749650   0.090222176
## 5814         High 0.474776811   0.485933476
## 5815          Low 0.581680199   0.577738498
## 5816         High 0.081749650   0.090222176
## 5817          Low 0.018865304   0.011079916
## 5818         High 0.367873423   0.378300003
## 5819         High 0.389882944   0.384631383
## 5820         High 0.566918098   0.578704033
## 5821         High 0.071829644   0.080234423
## 5822         High 0.388232230   0.398797848
## 5823         High 0.631987675   0.407171099
## 5824         High 0.946409404   0.796677646
## 5825         High 0.374161857   0.368802931
## 5826         High 0.075461215   0.068062344
## 5827          Low 0.867803972   0.881644776
## 5828         High 0.044019042   0.036405440
## 5829          Low 0.396171378   0.406791216
## 5830         High 0.718453651   0.731274482
## 5831          Low 0.003144217   0.011079916
## 5832         High 0.474776811   0.485933476
## 5833          Low 0.710593107   0.723360256
## 5834         High 0.804919626   0.818330968
## 5835         High 0.421325117   0.416288287
## 5836          Low 0.378878183   0.373551467
## 5837          Low 0.581680199   0.577738498
## 5838          Low 0.710593107   0.504547736
## 5839          Low 0.867803972   0.699301009
## 5840          Low 0.616266589   0.387702103
## 5841          Low 0.547093808   0.542915903
## 5842          Low 0.075461215   0.068062344
## 5843          Low 0.311277512   0.305489123
## 5844         High 0.547093808   0.542915903
## 5845          Low 0.003144217   0.011079916
## 5846         High 0.238960514   0.248506696
## 5847         High 0.506218984   0.517590380
## 5848          Low 0.154066647   0.147204604
## 5849          Low 0.389882944   0.384631383
## 5850         High 0.581680199   0.577738498
## 5851         High 0.468488376   0.463773643
## 5852         High 0.378878183   0.373551467
## 5853         High 0.396171378   0.406791216
## 5854          Low 0.553382243   0.565075736
## 5855          Low 0.529800613   0.525504606
## 5856          Low 0.581680199   0.577738498
## 5857          Low 0.161927190   0.155118830
## 5858          Low 0.498358440   0.509676154
## 5859         High 0.128912909   0.137707532
## 5860          Low 0.227955754   0.237426780
## 5861         High 0.547093808   0.542915903
## 5862          Low 0.232672079   0.226346863
## 5863         High 0.317565946   0.327648956
## 5864         High 0.411892465   0.422619668
## 5865         High 0.177349576   0.186474993
## 5866         High 0.836959200   0.850589353
## 5867         High 0.320710164   0.330814647
## 5868          Low 0.075461215   0.469218631
## 5869         High 0.396171378   0.115041189
## 5870          Low 0.122624474   0.115547700
## 5871         High 0.468488376   0.463773643
## 5872          Low 0.238960514   0.248506696
## 5873         High 0.468488376   0.463773643
## 5874          Low 0.238960514   0.248506696
## 5875          Low 0.880380841   0.832260006
## 5876          Low 1.163360397   1.139870142
## 5877         High 0.548665917   0.544498748
## 5878         High 0.334859141   0.329231801
## 5879         High 0.584824416   0.580904188
## 5880         High 0.025153738   0.017411297
## 5881          Low 0.578535981   0.574572807
## 5882          Low 0.311277512   0.305489123
## 5883          Low 0.317565946   0.327648956
## 5884          Low 0.548665917   0.544498748
## 5885          Low 0.594257068   0.590401259
## 5886          Low 0.160355082   0.169364436
## 5887          Low 0.402459813   0.413122597
## 5888         High 0.154066647   0.147204604
## 5889          Low 0.238960514   0.248506696
## 5890         High 0.408748248   0.403625526
## 5891         High 0.003144217   0.011079916
## 5892         High 0.553382243   0.565075736
## 5893         High 0.292412208   0.286494981
## 5894         High 0.586396525   0.582487033
## 5895         High 0.704304673   1.120274518
## 5896         High 0.403057214   0.397895626
## 5897         High 0.537661157   0.533418832
## 5898         High 0.594257068   0.590401259
## 5899          Low 0.160355082   0.169364436
## 5900         High 0.154066647   0.147204604
## 5901          Low 0.528228505   0.523921761
## 5902          Low 0.279835339   0.289660671
## 5903         High 0.278263230   0.288077826
## 5904         High 0.671290391   0.683789126
## 5905         High 0.008646598   0.016619875
## 5906          Low 0.161927190   0.155118830
## 5907         High 0.498358440   0.509676154
## 5908         High 0.578535981   0.574572807
## 5909         High 0.539233265   0.535001677
## 5910         High 0.210269531   0.203791319
## 5911         High 0.376520020   0.371177199
## 5912         High 0.106903388   0.115547700
## 5913         High 0.547093808   0.542915903
## 5914         High 0.789198540   0.601924372
## 5915          Low 0.789198540   0.601924372
## 5916          Low 0.113034612   0.121720796
## 5917          Low 0.603296692   0.615331071
## 5918          Low 0.389882944   0.384631383
## 5919          Low 0.160355082   0.169364436
## 5920          Low 0.396171378   0.406791216
## 5921          Low 0.581680199   0.577738498
## 5922          Low 0.232672079   0.226346863
## 5923         High 0.081749650   0.090222176
## 5924          Low 0.389882944   0.384631383
## 5925         High 0.161927190   0.155118830
## 5926          Low 0.498358440   0.509676154
## 5927         High 0.581680199   0.577738498
## 5928         High 0.232672079   0.226346863
## 5929          Low 0.405604030   0.400459835
## 5930          Low 0.317565946   0.017664552
## 5931         High 0.474776811   0.212417826
## 5932         High 0.110047605   0.102884938
## 5933         High 0.227955754   0.221598328
## 5934         High 0.495874509   0.491346807
## 5935          Low 0.547093808   0.542915903
## 5936         High 0.311277512   0.305489123
## 5937          Low 0.547093808   0.542915903
## 5938         High 0.240532623   0.234261089
## 5939         High 0.161927190   0.155118830
## 5940         High 0.498358440   0.509676154
## 5941          Low 0.075461215   0.469218631
## 5942         High 0.396171378   0.115041189
## 5943         High 0.553382243   0.309794462
## 5944         High 0.789198540   0.601924372
## 5945          Low 0.075461215   0.068062344
## 5946         High 0.317565946   0.327648956
## 5947          Low 0.993572664   0.855116290
## 5948          Low 1.103620269   0.991430919
## 5949          Low 0.547093808   0.542915903
## 5950          Low 0.081749650   0.090222176
## 5951          Low 0.238960514   0.248506696
## 5952          Low 0.227955754   0.237426780
## 5953         High 0.081749650   0.274465358
## 5954         High 0.474776811   0.212417826
## 5955          Low 0.396171378   0.115041189
## 5956          Low 0.856013157   0.684707176
## 5957         High 0.154066647   0.147204604
## 5958         High 0.238960514   0.248506696
## 5959         High 0.498358440   0.509676154
## 5960         High 0.320710164   0.330814647
## 5961         High 0.427613551   0.422619668
## 5962         High 0.547093808   0.542915903
## 5963          Low 0.389882944   0.384631383
## 5964          Low 0.081749650   0.090222176
## 5965         High 0.326998598   0.321317575
## 5966          Low 0.106384592   0.099196909
## 5967         High 0.007860543   0.000000000
## 5968          Low 0.161927190   0.155118830
## 5969         High 0.498358440   0.509676154
## 5970          Low 0.018865304   0.026908368
## 5971         High 0.270402687   0.280163600
## 5972          Low 0.065588373   0.073950528
## 5973         High 0.946409404   0.904042035
## 5974          Low 1.087899182   1.057847103
## 5975         High 0.578535981   0.574572807
## 5976          Low 0.358440771   0.352974479
## 5977          Low 0.339575467   0.333980337
## 5978          Low 0.548665917   0.544498748
## 5979         High 0.402459813   0.413122597
## 5980         High 0.374161857   0.368802931
## 5981         High 0.160355082   0.169364436
## 5982          Low 0.232672079   0.226346863
## 5983         High 0.474776811   0.212417826
## 5984         High 0.789198540   0.601924372
## 5985         High 1.221528417   1.203104807
## 5986         High 0.389882944   0.384631383
## 5987         High 0.003144217   0.011079916
## 5988          Low 0.216950993   0.210518411
## 5989         High 0.507791092   0.503344773
## 5990         High 0.015029359   0.023046226
## 5991         High 0.468488376   0.463773643
## 5992         High 0.396171378   0.406791216
## 5993         High 0.553382243   0.565075736
## 5994          Low 0.273546904   0.267500839
## 5995         High 0.342719685   0.337146027
## 5996         High 0.232672079   0.226346863
## 5997         High 0.680723043   0.068363084
## 5998          Low 0.185508820   0.301025500
## 5999         High 0.415822737   0.410748329
## 6000          Low 0.001886530   0.006014812
## 6001         High 0.114763931   0.107633474
## 6002          Low 0.455911507   0.451110882
## 6003         High 0.031442173   0.039571130
## 6004          Low 0.631987675   0.644217996
## 6005         High 0.789198540   0.802502516
## 6006         High 0.347436011   0.341894563
## 6007          Low 0.528228505   0.523921761
## 6008          Low 0.081749650   0.035898929
## 6009         High 1.176094477   1.153720037
## 6010          Low 0.378878183   0.373551467
## 6011          Low 0.161927190   0.155118830
## 6012          Low 0.498358440   0.509676154
## 6013         High 0.468488376   0.463773643
## 6014         High 0.341147576   0.335563182
## 6015          Low 0.429185660   0.440030965
## 6016          Low 0.317565946   0.327648956
## 6017         High 0.474776811   0.485933476
## 6018          Low 0.238960514   0.079712084
## 6019          Low 0.474776811   0.212417826
## 6020          Low 0.084893867   0.077559415
## 6021          Low 0.161927190   0.155118830
## 6022         High 0.498358440   0.509676154
## 6023          Low 0.389882944   0.384631383
## 6024         High 0.537661157   0.533418832
## 6025         High 0.547093808   0.542915903
## 6026          Low 0.364729206   0.375134312
## 6027         High 0.496786332   0.492264857
## 6028         High 0.232672079   0.226346863
## 6029         High 0.081749650   0.090222176
## 6030          Low 0.581680199   0.577738498
## 6031          Low 0.389882944   0.384631383
## 6032          Low 0.223239428   0.232678244
## 6033          Low 0.389882944   0.384631383
## 6034          Low 0.232672079   0.226346863
## 6035          Low 0.484209463   0.479602095
## 6036          Low 0.134415289   0.127419039
## 6037         High 0.484209463   0.479602095
## 6038          Low 0.018865304   0.026908368
## 6039          Low 0.578535981   0.574572807
## 6040          Low 0.378878183   0.373551467
## 6041         High 0.232672079   0.226346863
## 6042         High 0.424343565   0.419327350
## 6043         High 0.581680199   0.577738498
## 6044         High 0.452767290   0.447945191
## 6045         High 1.087899182   1.057847103
## 6046          Low 0.309705403   0.319734730
## 6047         High 0.161927190   0.155118830
## 6048          Low 0.498358440   0.509676154
## 6049         High 0.880380841   0.832260006
## 6050         High 1.087899182   1.057847103
## 6051          Low 0.592684959   0.604646866
## 6052          Low 0.922827775   0.937044358
## 6053         High 0.168530047   0.161766779
## 6054          Low 0.710593107   0.647684427
## 6055         High 0.581680199   0.577738498
## 6056         High 0.578535981   0.574572807
## 6057         High 0.542377482   0.538167368
## 6058         High 0.160355082   0.169364436
## 6059          Low 0.396171378   0.406791216
## 6060         High 0.397743487   0.392545609
## 6061          Low 0.091182301   0.083890796
## 6062          Low 0.043484525   0.051695724
## 6063          Low 0.547093808   0.542915903
## 6064          Low 0.548665917   0.544498748
## 6065          Low 0.396171378   0.406791216
## 6066         High 0.220095210   0.213684102
## 6067          Low 0.161927190   0.155118830
## 6068         High 0.498358440   0.509676154
## 6069         High 0.236602351   0.230303976
## 6070          Low 0.161927190   0.155118830
## 6071          Low 0.498358440   0.509676154
## 6072         High 0.710593107   0.647684427
## 6073         High 0.547093808   0.542915903
## 6074         High 0.533762327   0.529493376
## 6075          Low 0.357623275   0.367979852
## 6076         High 0.581680199   0.577738498
## 6077         High 0.317565946   0.327648956
## 6078         High 0.631987675   0.644217996
## 6079          Low 0.531372722   0.527087451
## 6080         High 0.306561186   0.316569040
## 6081          Low 0.548665917   0.544498748
## 6082         High 0.468488376   0.463773643
## 6083         High 0.075461215   0.068062344
## 6084         High 0.474776811   0.485933476
## 6085          Low 1.025014836   0.894054282
## 6086         High 1.103620269   0.991430919
## 6087          Low 0.631987675   0.644217996
## 6088         High 0.789198540   0.802502516
## 6089         High 0.389882944   0.384631383
## 6090          Low 0.553382243   1.236708611
## 6091          Low 0.084893867   0.077559415
## 6092          Low 0.537661157   0.533418832
## 6093          Low 0.457892364   0.453105267
## 6094          Low 0.468488376   0.463773643
## 6095          Low 0.553382243   0.565075736
## 6096          Low 0.389882944   0.384631383
## 6097          Low 0.184879977   0.178228369
## 6098          Low 0.441762529   0.436865275
## 6099          Low 0.100614953   0.093387867
## 6100         High 0.521940070   0.533418832
## 6101         High 0.238960514   0.248506696
## 6102          Low 0.238960514   0.248506696
## 6103          Low 0.333287033   0.343477408
## 6104         High 0.075461215   0.068062344
## 6105          Low 0.238960514   0.248506696
## 6106         High 0.075461215   0.068062344
## 6107         High 0.553382243   0.565075736
## 6108         High 0.946409404   0.904042035
## 6109         High 1.087899182   1.057847103
## 6110         High 0.238960514   0.248506696
## 6111         High 0.474776811   0.485933476
## 6112         High 0.154066647   0.147204604
## 6113          Low 0.317565946   0.327648956
## 6114         High 0.389882944   0.384631383
## 6115         High 0.360012880   0.354557325
## 6116         High 0.342719685   0.337146027
## 6117         High 0.160355082   0.169364436
## 6118         High 0.166643516   0.175695817
## 6119          Low 0.301844860   0.311820504
## 6120          Low 0.521940070   0.533418832
## 6121          Low 0.710593107   0.723360256
## 6122         High 0.484209463   0.479602095
## 6123          Low 0.018865304   0.026908368
## 6124          Low 0.057067544   0.065371507
## 6125          Low 0.273546904   0.267500839
## 6126         High 0.136773452   0.129793306
## 6127          Low 0.326998598   0.321317575
## 6128         High 0.539233265   0.535001677
## 6129         High 0.075461215   0.068062344
## 6130          Low 0.389882944   0.384631383
## 6131          Low 0.081749650   0.274465358
## 6132          Low 0.710593107   0.504547736
## 6133          Low 0.389882944   0.384631383
## 6134         High 0.161927190   0.155118830
## 6135         High 0.498358440   0.509676154
## 6136         High 0.468488376   0.463773643
## 6137          Low 0.317565946   0.327648956
## 6138         High 0.044019042   0.036405440
## 6139          Low 0.154066647   0.147204604
## 6140         High 0.075461215   0.068062344
## 6141          Low 0.468488376   0.463773643
## 6142         High 1.103620269   1.119071556
## 6143          Low 0.176076168   0.185192888
## 6144         High 0.223239428   0.232678244
## 6145         High 0.301844860   0.311820504
## 6146          Low 0.429185660   0.424202513
## 6147          Low 0.161927190   0.155118830
## 6148         High 0.498358440   0.509676154
## 6149          Low 0.581680199   0.577738498
## 6150         High 0.117122094   0.125836193
## 6151          Low 0.474776811   0.485933476
## 6152          Low 0.232672079   0.226346863
## 6153          Low 0.440190421   0.435282430
## 6154         High 0.333287033   0.343477408
## 6155          Low 0.474776811   0.485933476
## 6156          Low 0.592684959   0.604646866
## 6157          Low 0.553382243   0.309794462
## 6158         High 0.867803972   0.699301009
## 6159          Low 0.578535981   0.574572807
## 6160         High 0.358440771   0.352974479
## 6161         High 0.547093808   0.542915903
## 6162         High 0.594257068   0.590401259
## 6163          Low 0.331353339   0.325702057
## 6164         High 0.341147576   0.335563182
## 6165          Low 0.161927190   0.155118830
## 6166         High 0.498358440   0.509676154
## 6167         High 0.154066647   0.147204604
## 6168         High 0.547093808   0.542915903
## 6169          Low 0.326998598   0.321317575
## 6170          Low 0.342719685   0.337146027
## 6171         High 0.114763931   0.107633474
## 6172         High 0.547093808   0.542915903
## 6173          Low 0.075461215   0.068062344
## 6174          Low 0.378878183   0.373551467
## 6175         High 0.484209463   0.479602095
## 6176         High 0.018865304   0.026908368
## 6177         High 0.064189196   0.056713343
## 6178         High 0.499930549   0.495430547
## 6179         High 0.232672079   0.226346863
## 6180         High 0.075461215   0.068062344
## 6181         High 0.581680199   0.577738498
## 6182         High 0.081749650   0.090222176
## 6183         High 0.474776811   0.485933476
## 6184         High 0.110047605   0.102884938
## 6185         High 1.025014836   0.894054282
## 6186         High 1.103620269   0.991430919
## 6187         High 0.210269531   0.203791319
## 6188         High 0.389882944   0.384631383
## 6189          Low 0.081749650   0.090222176
## 6190          Low 0.191797255   0.126437675
## 6191          Low 1.290701197   1.278305783
## 6192          Low 0.408748248   0.403625526
## 6193          Low 0.410713383   0.405604082
## 6194          Low 0.081749650   0.074393724
## 6195          Low 0.584824416   0.596732640
## 6196         High 0.161927190   0.155118830
## 6197          Low 0.498358440   0.509676154
## 6198         High 0.547093808   0.542915903
## 6199          Low 0.081749650   0.090222176
## 6200         High 0.519424696   0.515057828
## 6201         High 0.468488376   0.463773643
## 6202         High 0.553382243   0.565075736
## 6203          Low 0.091182301   0.083890796
## 6204         High 0.227955754   0.237426780
## 6205         High 0.238960514   0.248506696
## 6206         High 0.553382243   0.565075736
## 6207         High 0.000000000   0.007914226
## 6208         High 1.276552220   1.262920527
## 6209          Low 0.311277512   0.463140505
## 6210         High 0.389882944   0.384631383
## 6211          Low 0.003144217   0.011079916
## 6212         High 0.553382243   0.565075736
## 6213         High 0.547093808   0.542915903
## 6214         High 0.232672079   0.226346863
## 6215          Low 0.154066647   0.147204604
## 6216         High 0.317565946   0.327648956
## 6217          Low 0.581680199   0.577738498
## 6218         High 0.166643516   0.175695817
## 6219         High 0.301844860   0.311820504
## 6220         High 0.248393166   0.242175315
## 6221          Low 0.057067544   0.065371507
## 6222         High 0.311277512   0.305489123
## 6223          Low 0.499930549   0.495430547
## 6224         High 0.023896051   0.016145021
## 6225         High 0.424469334   0.419453978
## 6226          Low 0.437046203   0.432116739
## 6227         High 0.122624474   0.115547700
## 6228         High 0.003144217   0.011079916
## 6229         High 0.474776811   0.485933476
## 6230         High 0.531372722   0.527087451
## 6231         High 0.008646598   0.016619875
## 6232          Low 0.290840099   0.284912136
## 6233         High 0.007860543   0.000000000
## 6234          Low 0.427613551   0.438448120
## 6235         High 0.248393166   0.242175315
## 6236          Low 0.427613551   0.438448120
## 6237          Low 0.308133294   0.318151885
## 6238          Low 0.884861351   0.898818646
## 6239         High 0.427613551   0.438448120
## 6240          Low 0.584824416   0.596732640
## 6241         High 0.875664515   0.827131587
## 6242          Low 0.996433901   0.958412768
## 6243         High 0.014148978   0.022159833
## 6244         High 0.833217582   0.780991650
## 6245         High 0.957854355   0.916483199
## 6246          Low 0.050307477   0.058565272
## 6247         High 0.547093808   0.542915903
## 6248         High 0.081749650   0.090222176
## 6249         High 0.223239428   0.232678244
## 6250          Low 0.301844860   0.311820504
## 6251         High 0.484209463   0.479602095
## 6252          Low 0.547093808   0.542915903
## 6253         High 1.407634638   1.412610198
## 6254          Low 0.356491356   0.351011751
## 6255         High 0.091182301   0.083890796
## 6256          Low 0.018865304   0.026908368
## 6257          Low 0.358440771   0.352974479
## 6258          Low 0.372589749   0.383048538
## 6259          Low 0.867803972   0.699301009
## 6260          Low 1.103620269   0.991430919
## 6261         High 0.117122094   0.125836193
## 6262          Low 0.474776811   0.485933476
## 6263         High 0.207518341   0.216849792
## 6264         High 0.311277512   0.305489123
## 6265         High 0.581680199   0.577738498
## 6266         High 0.430757769   0.425785359
## 6267          Low 0.372589749   0.383048538
## 6268          Low 0.468488376   0.463773643
## 6269          Low 0.484209463   0.479602095
## 6270          Low 0.804919626   0.818330968
## 6271          Low 1.087899182   1.103243104
## 6272         High 0.212549089   0.206086445
## 6273         High 0.529800613   0.525504606
## 6274         High 0.547093808   0.542915903
## 6275          Low 0.160355082   0.169364436
## 6276          Low 0.484209463   0.479602095
## 6277          Low 0.020437412   0.012662762
## 6278         High 0.356868662   0.367220086
## 6279          Low 0.619410806   0.631555234
## 6280          Low 0.389882944   0.384631383
## 6281          Low 0.548665917   0.544498748
## 6282          Low 0.378878183   0.373551467
## 6283          Low 0.356491356   0.351011751
## 6284         High 0.547093808   0.542915903
## 6285          Low 0.081749650   0.090222176
## 6286         High 0.081749650   0.274465358
## 6287         High 0.317565946   0.017664552
## 6288          Low 0.510935310   0.506510464
## 6289          Low 0.429185660   0.424202513
## 6290         High 0.630415567   0.642635151
## 6291          Low 0.952068995   0.966485279
## 6292          Low 0.110047605   0.102884938
## 6293          Low 0.279835339   0.273832219
## 6294          Low 0.542377482   0.538167368
## 6295          Low 0.012576869   0.004748536
## 6296         High 0.334859141   0.329231801
## 6297          Low 0.547093808   0.542915903
## 6298          Low 0.311277512   0.305489123
## 6299          Low 0.631987675   0.644217996
## 6300         High 0.389882944   0.384631383
## 6301          Low 0.081749650   0.090222176
## 6302          Low 0.264114252   0.258003767
## 6303          Low 0.317565946   0.327648956
## 6304         High 0.553382243   0.565075736
## 6305          Low 0.468488376   0.463773643
## 6306         High 0.311277512   0.305489123
## 6307          Low 0.468488376   0.463773643
## 6308          Low 0.044019042   0.036405440
## 6309          Low 0.537661157   0.533418832
## 6310         High 0.232672079   0.377698521
## 6311          Low 0.867803972   0.881644776
## 6312          Low 0.238960514   0.248506696
## 6313          Low 0.553382243   0.565075736
## 6314         High 0.396171378   0.406791216
## 6315          Low 0.154066647   0.147204604
## 6316         High 0.036158499   0.028491214
## 6317         High 0.132843180   0.141664645
## 6318          Low 0.018865304   0.026908368
## 6319          Low 0.339575467   0.333980337
## 6320          Low 0.547093808   0.542915903
## 6321          Low 0.317565946   0.327648956
## 6322         High 0.581680199   0.577738498
## 6323         High 0.227955754   0.237426780
## 6324         High 0.547093808   0.542915903
## 6325          Low 0.160355082   0.169364436
## 6326         High 0.529800613   0.525504606
## 6327          Low 0.000000000   0.007914226
## 6328         High 0.429185660   0.424202513
## 6329          Low 0.227955754   0.237426780
## 6330         High 0.519424696   0.515057828
## 6331         High 0.000000000   0.007914226
## 6332         High 0.180949705   0.174271256
## 6333          Low 0.548665917   0.544498748
## 6334         High 0.227955754   0.237426780
## 6335          Low 0.232672079   0.226346863
## 6336         High 0.227955754   0.237426780
## 6337          Low 0.000000000   0.007914226
## 6338         High 0.311277512   0.305489123
## 6339          Low 0.081749650   0.090222176
## 6340         High 0.000000000   0.007914226
## 6341          Low 0.161927190   0.155118830
## 6342         High 0.498358440   0.509676154
## 6343          Low 0.240532623   0.234261089
## 6344         High 0.547093808   0.542915903
## 6345          Low 0.020437412   0.012662762
## 6346         High 0.311277512   0.305489123
## 6347         High 0.358440771   0.352974479
## 6348         High 0.372589749   0.383048538
## 6349          Low 0.264114252   0.258003767
## 6350         High 0.014148978   0.022159833
## 6351          Low 0.342719685   0.337146027
## 6352         High 0.515651636   0.511258999
## 6353         High 0.264114252   0.258003767
## 6354         High 0.587968633   0.584069878
## 6355          Low 0.547093808   0.542915903
## 6356         High 0.106903388   0.099719248
## 6357          Low 0.531372722   0.527087451
## 6358          Low 0.306561186   0.316569040
## 6359          Low 1.087899182   1.103243104
## 6360         High 0.389882944   0.384631383
## 6361         High 0.218994734   0.228404562
## 6362          Low 0.548665917   0.544498748
## 6363          Low 0.484209463   0.479602095
## 6364         High 0.208147185   0.201654478
## 6365          Low 0.389882944   0.384631383
## 6366         High 0.529800613   0.525504606
## 6367          Low 0.408748248   0.403625526
## 6368         High 0.238960514   0.079712084
## 6369         High 0.553382243   0.309794462
## 6370         High 0.529800613   0.525504606
## 6371          Low 0.278263230   0.288077826
## 6372          Low 0.671290391   0.683789126
## 6373          Low 0.008646598   0.016619875
## 6374          Low 0.484209463   0.479602095
## 6375          Low 0.229527862   0.239009625
## 6376          Low 1.025014836   0.894054282
## 6377          Low 1.103620269   0.991430919
## 6378          Low 0.317565946   0.220442851
## 6379          Low 0.238174460   0.231886822
## 6380         High 0.484209463   0.495430547
## 6381          Low 0.075461215   0.068062344
## 6382         High 0.402459813   0.413122597
## 6383          Low 0.631987675   0.644217996
## 6384         High 0.789198540   0.802502516
## 6385         High 0.267258470   0.261169458
## 6386         High 0.081749650   0.090222176
## 6387          Low 0.474776811   0.485933476
## 6388         High 0.405604030   0.400459835
## 6389          Low 0.066028563   0.074393724
## 6390          Low 0.389882944   0.384631383
## 6391          Low 0.301844860   0.295992052
## 6392         High 0.468488376   0.463773643
## 6393          Low 0.075461215   0.068062344
## 6394         High 0.358440771   0.352974479
## 6395         High 0.075461215   0.068062344
## 6396         High 0.515651636   0.511258999
## 6397          Low 0.207518341   0.216849792
## 6398         High 0.515651636   0.511258999
## 6399          Low 0.207518341   0.216849792
## 6400          Low 0.547093808   0.542915903
## 6401          Low 0.232672079   0.226346863
## 6402          Low 0.297128534   0.291243517
## 6403          Low 0.515651636   0.511258999
## 6404         High 0.207518341   0.216849792
## 6405         High 0.177365297   0.186490821
## 6406          Low 0.836959200   0.850589353
## 6407          Low 0.081749650   0.035898929
## 6408         High 0.334654767   0.239025454
## 6409          Low 0.537661157   0.533418832
## 6410          Low 0.389882944   0.384631383
## 6411         High 0.160355082   0.169364436
## 6412          Low 0.547093808   0.542915903
## 6413         High 0.091559607   0.371113885
## 6414         High 0.344606215   0.696467716
## 6415          Low 0.278263230   0.288077826
## 6416          Low 0.671290391   0.683789126
## 6417         High 0.044019042   0.036405440
## 6418          Low 0.581680199   0.577738498
## 6419          Low 0.515651636   0.511258999
## 6420          Low 0.207518341   0.216849792
## 6421         High 0.631987675   0.644217996
## 6422         High 0.946409404   0.960787036
## 6423          Low 0.531372722   0.527087451
## 6424          Low 0.297128534   0.291243517
## 6425         High 0.220299584   0.213889872
## 6426         High 0.547093808   0.542915903
## 6427         High 0.547093808   0.542915903
## 6428          Low 0.048861137   0.041280603
## 6429          Low 0.084893867   0.077559415
## 6430         High 0.048861137   0.041280603
## 6431          Low 0.542377482   0.538167368
## 6432          Low 0.521940070   0.442611003
## 6433          Low 0.717431780   0.655123799
## 6434         High 0.429185660   0.424202513
## 6435         High 0.474776811   0.485933476
## 6436          Low 0.631987675   0.644217996
## 6437          Low 0.248393166   0.242175315
## 6438          Low 0.427613551   0.438448120
## 6439          Low 0.553382243   0.476800459
## 6440         High 0.744770749   0.684849632
## 6441          Low 0.529800613   0.525504606
## 6442         High 0.581680199   0.577738498
## 6443          Low 0.232672079   0.226346863
## 6444         High 0.484209463   0.479602095
## 6445          Low 0.710593107   0.647684427
## 6446          Low 0.176076168   0.185192888
## 6447          Low 0.366301314   0.376717157
## 6448         High 0.547093808   0.542915903
## 6449         High 0.474776811   0.212417826
## 6450         High 0.789198540   0.601924372
## 6451          Low 0.067600672   0.060148118
## 6452         High 0.160355082   0.169364436
## 6453          Low 0.364729206   0.375134312
## 6454         High 0.396171378   0.406791216
## 6455          Low 0.553382243   0.565075736
## 6456          Low 0.389882944   0.384631383
## 6457          Low 0.084893867   0.077559415
## 6458         High 0.215378884   0.208935566
## 6459         High 0.003144217   0.011079916
## 6460          Low 0.594257068   0.590401259
## 6461          Low 0.547093808   0.542915903
## 6462          Low 0.529171770   0.524871468
## 6463          Low 0.226540856   0.220173767
## 6464         High 0.468488376   0.463773643
## 6465          Low 0.003144217   0.011079916
## 6466          Low 0.631987675   0.644217996
## 6467          Low 0.008646598   0.016619875
## 6468         High 0.311277512   0.305489123
## 6469          Low 0.468488376   0.463773643
## 6470          Low 0.081749650   0.090222176
## 6471         High 0.081749650   0.090222176
## 6472         High 0.726314194   0.739188708
## 6473          Low 0.757756367   0.562986380
## 6474         High 0.993572664   0.855116290
## 6475          Low 0.474776811   0.212417826
## 6476         High 0.631987675   0.407171099
## 6477          Low 1.418041998   1.435640596
## 6478         High 0.710593107   0.647684427
## 6479         High 0.253109492   0.262752303
## 6480         High 0.378878183   0.373551467
## 6481         High 0.075461215   0.068062344
## 6482         High 0.547093808   0.542915903
## 6483          Low 0.081749650   0.090222176
## 6484          Low 0.154066647   0.147204604
## 6485          Low 0.227955754   0.221598328
## 6486         High 0.176076168   0.185192888
## 6487          Low 0.366301314   0.376717157
## 6488         High 0.389882944   0.384631383
## 6489         High 0.547093808   0.542915903
## 6490         High 0.264114252   0.411872149
## 6491          Low 0.232672079   0.226346863
## 6492         High 0.177365297   0.186490821
## 6493          Low 0.836959200   0.850589353
## 6494         High 0.389882944   0.384631383
## 6495          Low 0.452767290   0.447945191
## 6496         High 0.018865304   0.026908368
## 6497          Low 0.301844860   0.311820504
## 6498          Low 0.264114252   0.258003767
## 6499          Low 0.075461215   0.068062344
## 6500          Low 0.238960514   0.248506696
## 6501          Low 0.564387003   0.560327200
## 6502          Low 0.174504060   0.183610043
## 6503         High 0.378878183   0.373551467
## 6504          Low 0.547093808   0.542915903
## 6505          Low 0.326998598   0.321317575
## 6506          Low 0.389882944   0.384631383
## 6507          Low 0.317565946   0.017664552
## 6508          Low 0.474776811   0.212417826
## 6509         High 0.521940070   0.442611003
## 6510          Low 0.396171378   0.305900663
## 6511          Low 0.084893867   0.077559415
## 6512          Low 0.378878183   0.373551467
## 6513         High 0.578535981   0.574572807
## 6514          Low 0.529800613   0.525504606
## 6515          Low 0.378878183   0.373551467
## 6516          Low 0.581680199   0.577738498
## 6517         High 0.468488376   0.463773643
## 6518         High 0.075461215   0.068062344
## 6519         High 0.048861137   0.041280603
## 6520         High 0.213806776   0.207352721
## 6521         High 0.474776811   0.485933476
## 6522          Low 0.389882944   0.384631383
## 6523         High 0.048861137   0.041280603
## 6524         High 0.227955754   0.221598328
## 6525         High 0.402459813   0.397294145
## 6526         High 0.282979556   0.292826362
## 6527          Low 0.867803972   0.699301009
## 6528          Low 1.025014836   0.894054282
## 6529         High 0.581680199   0.577738498
## 6530         High 0.084893867   0.077559415
## 6531         High 0.581680199   0.577738498
## 6532          Low 0.581680199   0.577738498
## 6533          Low 0.378878183   0.373551467
## 6534         High 0.287239970   0.281287420
## 6535          Low 0.025153738   0.017411297
## 6536         High 1.025014836   1.039929296
## 6537         High 0.616266589   0.545147715
## 6538         High 0.311277512   0.305489123
## 6539          Low 0.238960514   0.248506696
## 6540         High 0.484209463   0.479602095
## 6541         High 0.880380841   0.832260006
## 6542         High 1.087899182   1.057847103
## 6543          Low 0.499836223   0.495335577
## 6544         High 0.057067544   0.065371507
## 6545         High 0.232672079   0.226346863
## 6546          Low 0.138345561   0.131376152
## 6547         High 0.081749650   0.090222176
## 6548          Low 0.484209463   0.479602095
## 6549         High 0.091182301   0.083890796
## 6550          Low 0.537661157   0.533418832
## 6551          Low 0.075461215   0.068062344
## 6552          Low 0.238174460   0.231886822
## 6553         High 0.484209463   0.495430547
## 6554         High 1.182225701   1.160383815
## 6555         High 0.220881265   0.214475524
## 6556         High 0.484209463   0.479602095
## 6557          Low 0.223239428   0.232678244
## 6558          Low 0.364729206   0.375134312
## 6559         High 0.358991009   0.369356927
## 6560          Low 0.311277512   0.305489123
## 6561         High 0.290840099   0.284912136
## 6562          Low 0.100614953   0.093387867
## 6563         High 0.421325117   0.432116739
## 6564          Low 0.389914386   0.384663040
## 6565          Low 0.523386410   0.534875050
## 6566          Low 0.421325117   0.416288287
## 6567          Low 0.075461215   0.068062344
## 6568          Low 0.389882944   0.384631383
## 6569         High 0.378878183   0.373551467
## 6570          Low 0.207518341   0.216849792
## 6571          Low 1.056457009   1.071586200
## 6572          Low 0.154066647   0.147204604
## 6573         High 0.018865304   0.026908368
## 6574          Low 0.301844860   0.311820504
## 6575          Low 0.049049790   0.041470544
## 6576          Low 0.160355082   0.169364436
## 6577         High 0.364729206   0.375134312
## 6578          Low 0.176076168   0.185192888
## 6579         High 0.168750142   0.161988378
## 6580          Low 0.369980048   0.380421015
## 6581         High 0.075461215   0.068062344
## 6582          Low 0.411892465   0.422619668
## 6583         High 0.106903388   0.099719248
## 6584          Low 0.122624474   0.115547700
## 6585         High 0.311277512   0.305489123
## 6586          Low 0.311277512   0.305489123
## 6587         High 0.075461215   0.068062344
## 6588          Low 0.238960514   0.248506696
## 6589          Low 0.484209463   0.479602095
## 6590          Low 0.075461215   0.068062344
## 6591          Low 0.396171378   0.406791216
## 6592          Low 0.154066647   0.147204604
## 6593         High 0.474776811   0.485933476
## 6594          Low 0.529171770   0.524871468
## 6595         High 0.275433435   0.269400253
## 6596          Low 0.547093808   0.542915903
## 6597         High 0.326998598   0.321317575
## 6598          Low 0.201229907   0.194689959
## 6599         High 0.402459813   0.413122597
## 6600          Low 0.227955754   0.221598328
## 6601         High 0.290840099   0.284912136
## 6602          Low 0.232672079   0.226346863
## 6603         High 0.075461215   0.068062344
## 6604         High 0.081749650   0.090222176
## 6605          Low 0.474776811   0.485933476
## 6606          Low 0.515651636   0.511258999
## 6607         High 0.468488376   0.463773643
## 6608          Low 0.003144217   0.011079916
## 6609         High 0.547093808   0.542915903
## 6610          Low 0.339575467   0.333980337
## 6611          Low 0.185508820   0.178861507
## 6612          Low 0.007860543   0.000000000
## 6613         High 0.044019042   0.036405440
## 6614          Low 0.389882944   0.384631383
## 6615         High 0.468488376   0.463773643
## 6616         High 0.468488376   0.463773643
## 6617         High 0.484209463   0.479602095
## 6618          Low 0.468488376   0.463773643
## 6619         High 0.160355082   0.169364436
## 6620          Low 0.317565946   0.327648956
## 6621         High 0.238960514   0.079712084
## 6622          Low 0.474776811   0.212417826
## 6623         High 0.576177818   0.588026991
## 6624          Low 0.238960514   0.248506696
## 6625         High 0.710593107   0.723360256
## 6626         High 0.548665917   0.544498748
## 6627          Low 0.084893867   0.077559415
## 6628          Low 0.301844860   0.295992052
## 6629         High 0.537661157   0.533418832
## 6630          Low 0.548665917   0.544498748
## 6631          Low 0.091182301   0.083890796
## 6632          Low 1.025014836   0.894054282
## 6633         High 1.119341355   1.010915743
## 6634         High 0.484209463   0.479602095
## 6635         High 0.018865304   0.026908368
## 6636          Low 0.396171378   0.406791216
## 6637         High 0.828501256   0.842073646
## 6638          Low 0.154066647   0.147204604
## 6639         High 0.149350321   0.142456068
## 6640          Low 0.075461215   0.068062344
## 6641         High 0.160355082   0.169364436
## 6642          Low 0.553382243   0.565075736
## 6643          Low 0.232672079   0.226346863
## 6644          Low 0.176076168   0.185192888
## 6645         High 0.311277512   0.305489123
## 6646          Low 0.378878183   0.373551467
## 6647         High 0.238174460   0.231886822
## 6648          Low 0.484209463   0.495430547
## 6649         High 0.452767290   0.447945191
## 6650          Low 0.232672079   0.226346863
## 6651         High 0.823784930   0.770734813
## 6652         High 1.012437967   0.975808237
## 6653         High 0.025153738   0.017411297
## 6654         High 0.378878183   0.373551467
## 6655         High 0.358440771   0.352974479
## 6656          Low 0.372589749   0.383048538
## 6657         High 0.548665917   0.544498748
## 6658         High 0.068040862   0.060591314
## 6659          Low 0.455911507   0.451110882
## 6660          Low 0.031442173   0.039571130
## 6661         High 0.290840099   0.284912136
## 6662          Low 0.177349576   0.186474993
## 6663          Low 0.836959200   0.850589353
## 6664         High 0.177349576   0.186474993
## 6665          Low 0.836959200   0.850589353
## 6666          Low 0.154066647   0.147204604
## 6667          Low 0.229527862   0.223181173
## 6668          Low 0.474776811   0.485933476
## 6669         High 0.154066647   0.147204604
## 6670          Low 0.484209463   0.479602095
## 6671          Low 0.421325117   0.416288287
## 6672          Low 0.572247547   0.568241426
## 6673         High 0.169787734   0.178861507
## 6674          Low 0.468488376   0.463773643
## 6675         High 0.044019042   0.036405440
## 6676          Low 0.264114252   0.258003767
## 6677         High 0.176076168   0.185192888
## 6678          Low 0.396171378   0.406791216
## 6679          Low 0.828501256   0.842073646
## 6680         High 0.177648277   0.170947282
## 6681          Low 0.484209463   0.479602095
## 6682         High 0.484209463   0.479602095
## 6683         High 0.867803972   0.699301009
## 6684         High 1.103620269   0.991430919
## 6685          Low 0.547093808   0.542915903
## 6686         High 0.003144217   0.121340913
## 6687          Low 0.861515537   0.203221495
## 6688         High 0.553382243   0.309794462
## 6689          Low 0.020437412   0.012662762
## 6690          Low 0.122624474   0.131376152
## 6691         High 0.548665917   0.544498748
## 6692          Low 0.468488376   0.463773643
## 6693          Low 0.044019042   0.036405440
## 6694          Low 0.789198540   1.028105442
## 6695          Low 0.232672079   0.226346863
## 6696          Low 0.176940828   0.170235001
## 6697         High 0.311277512   0.305489123
## 6698          Low 0.220881265   0.214475524
## 6699         High 0.160355082   0.169364436
## 6700         High 0.459055724   0.470105024
## 6701         High 0.396171378   0.406791216
## 6702          Low 0.828501256   0.842073646
## 6703         High 0.405604030   0.400459835
## 6704          Low 0.389882944   0.384631383
## 6705         High 0.547093808   0.542915903
## 6706         High 0.154066647   0.147204604
## 6707         High 0.007860543   0.000000000
## 6708          Low 0.484209463   0.479602095
## 6709          Low 0.018865304   0.026908368
## 6710          Low 0.515651636   0.511258999
## 6711         High 0.600545502   0.612561092
## 6712          Low 0.468488376   0.463773643
## 6713          Low 0.396171378   0.406791216
## 6714          Low 0.710593107   0.723360256
## 6715          Low 4.005732827   1.382124599
## 6716         High 0.539233265   0.535001677
## 6717         High 0.358440771   0.352974479
## 6718          Low 0.372589749   0.383048538
## 6719          Low 0.232672079   0.226346863
## 6720          Low 0.334859141   0.329231801
## 6721          Low 0.427613551   0.438448120
## 6722         High 0.008646598   0.016619875
## 6723          Low 0.437046203   0.432116739
## 6724          Low 0.232672079   0.226346863
## 6725          Low 0.081749650   0.090222176
## 6726         High 0.553382243   0.565075736
## 6727          Low 1.025014836   1.039929296
## 6728          Low 0.134415289   0.127419039
## 6729          Low 0.374161857   0.368802931
## 6730          Low 0.235187453   0.228879416
## 6731          Low 0.547093808   0.542915903
## 6732          Low 0.075461215   0.068062344
## 6733          Low 0.389882944   0.384631383
## 6734         High 0.484209463   0.479602095
## 6735          Low 0.317565946   0.327648956
## 6736         High 0.518009798   0.529461719
## 6737          Low 0.389882944   0.384631383
## 6738          Low 0.389882944   0.384631383
## 6739          Low 0.007860543   0.000000000
## 6740          Low 1.307994392   1.297094155
## 6741          Low 0.349008119   0.359305860
## 6742         High 0.648227558   0.660568787
## 6743          Low 0.099828899   0.092596444
## 6744         High 0.594257068   0.590401259
## 6745          Low 0.441762529   0.436865275
## 6746         High 0.389882944   0.384631383
## 6747          Low 0.396171378   0.406791216
## 6748         High 0.389882944   0.548582489
## 6749         High 1.103620269   0.991430919
## 6750         High 1.103620269   0.991430919
## 6751          Low 0.581680199   0.577738498
## 6752          Low 0.028297956   0.020576988
## 6753          Low 0.177349576   0.186474993
## 6754         High 0.836959200   0.850589353
## 6755         High 0.358440771   0.352974479
## 6756         High 0.372589749   0.383048538
## 6757          Low 0.243378139   0.237126039
## 6758         High 0.515510146   0.526944995
## 6759         High 0.396171378   0.406791216
## 6760          Low 0.828501256   0.842073646
## 6761         High 0.484209463   0.479602095
## 6762          Low 0.018865304   0.026908368
## 6763          Low 1.411753563   1.066995949
## 6764          Low 0.020437412   0.012662762
## 6765         High 0.548665917   0.544498748
## 6766          Low 0.167115149   0.160342219
## 6767         High 0.311277512   0.305489123
## 6768          Low 0.867803972   0.881644776
## 6769         High 0.531372722   0.527087451
## 6770          Low 0.578535981   0.574572807
## 6771         High 0.616266589   0.628389544
## 6772          Low 0.836361799   0.849987872
## 6773         High 0.081749650   0.074393724
## 6774          Low 0.584824416   0.596732640
## 6775          Low 0.547093808   0.542915903
## 6776          Low 0.232672079   0.226346863
## 6777         High 0.548665917   0.544498748
## 6778         High 0.126083113   0.119029959
## 6779         High 0.402459813   0.413122597
## 6780         High 0.484209463   0.479602095
## 6781         High 0.405604030   0.400459835
## 6782          Low 0.003144217   0.011079916
## 6783         High 0.553382243   0.565075736
## 6784          Low 0.290840099   0.300740588
## 6785         High 0.154066647   0.147204604
## 6786         High 0.484209463   0.479602095
## 6787         High 0.223239428   0.605928971
## 6788         High 0.238960514   0.248506696
## 6789         High 0.539233265   0.535001677
## 6790         High 0.415822737   0.410748329
## 6791         High 0.001886530   0.006014812
## 6792         High 0.484209463   0.479602095
## 6793         High 0.333287033   0.327648956
## 6794          Low 0.226540856   0.220173767
## 6795         High 0.081749650   0.090222176
## 6796          Low 0.334859141   0.329231801
## 6797         High 0.427613551   0.438448120
## 6798         High 0.946409404   0.904042035
## 6799          Low 1.087899182   1.057847103
## 6800          Low 0.334859141   0.329231801
## 6801          Low 0.427613551   0.438448120
## 6802          Low 0.020437412   0.012662762
## 6803          Low 0.003144217   0.011079916
## 6804          Low 0.553382243   0.565075736
## 6805          Low 0.144633995   0.153535984
## 6806          Low 0.521940070   0.533418832
## 6807          Low 0.389882944   0.384631383
## 6808         High 0.075461215   0.068062344
## 6809         High 0.484209463   0.479602095
## 6810          Low 0.160355082   0.026528486
## 6811         High 0.914967231   0.869852579
## 6812         High 0.551024080   0.546873016
## 6813         High 0.404031922   0.398876990
## 6814         High 0.295556425   0.289660671
## 6815         High 0.389882944   0.384631383
## 6816         High 0.117200699   0.110086884
## 6817         High 0.484209463   0.479602095
## 6818         High 0.311277512   0.305489123
## 6819         High 0.003144217   0.011079916
## 6820         High 0.553382243   0.309794462
## 6821         High 0.993572664   0.855116290
## 6822         High 0.631987675   0.562242443
## 6823         High 0.710593107   0.647684427
## 6824         High 0.081749650   0.500384853
## 6825         High 1.182225701   1.160383815
## 6826          Low 0.389882944   0.384631383
## 6827         High 0.238960514   0.248506696
## 6828          Low 0.333287033   0.343477408
## 6829         High 0.484209463   0.479602095
## 6830          Low 0.018865304   0.026908368
## 6831         High 0.396171378   0.406791216
## 6832          Low 0.828501256   0.842073646
## 6833          Low 0.358440771   0.352974479
## 6834          Low 0.372589749   0.383048538
## 6835         High 0.003144217   0.011079916
## 6836         High 0.474776811   0.485933476
## 6837         High 0.160355082   0.169364436
## 6838         High 0.474776811   0.485933476
## 6839          Low 0.020437412   0.012662762
## 6840          Low 0.539233265   0.535001677
## 6841         High 0.238960514   0.248506696
## 6842         High 0.374161857   0.368802931
## 6843         High 0.578535981   0.574572807
## 6844         High 0.594257068   0.590401259
## 6845         High 0.374161857   0.368802931
## 6846         High 0.317565946   0.327648956
## 6847          Low 0.553382243   0.565075736
## 6848          Low 0.539233265   0.535001677
## 6849         High 0.396171378   0.115041189
## 6850          Low 0.529171770   0.524871468
## 6851          Low 0.275433435   0.269400253
## 6852          Low 0.081749650   0.090222176
## 6853         High 1.402320911   1.419812144
## 6854         High 1.229388960   1.245699172
## 6855          Low 0.521940070   0.533418832
## 6856          Low 0.468488376   0.463773643
## 6857          Low 0.075461215   0.068062344
## 6858          Low 0.058168020   0.066479498
## 6859         High 0.338003359   0.348225944
## 6860         High 0.014148978   0.022159833
## 6861         High 0.075461215   0.068062344
## 6862         High 0.553382243   0.565075736
## 6863          Low 0.126083113   0.119029959
## 6864          Low 0.444906746   0.440030965
## 6865          Low 0.452767290   0.447945191
## 6866          Low 0.531372722   0.527087451
## 6867          Low 0.081749650   0.274465358
## 6868          Low 0.710593107   0.504547736
## 6869         High 0.059740129   0.052233892
## 6870          Low 0.993572664   0.914900354
## 6871          Low 0.154066647   0.147204604
## 6872          Low 0.352152336   0.346643099
## 6873          Low 0.484209463   0.479602095
## 6874          Low 0.352152336   0.346643099
## 6875         High 0.540805374   0.536584522
## 6876          Low 0.306561186   0.316569040
## 6877         High 0.160355082   0.169364436
## 6878          Low 0.553382243   0.565075736
## 6879         High 0.333287033   0.327648956
## 6880          Low 0.286123773   0.295992052
## 6881          Low 0.506218984   0.517590380
## 6882          Low 1.339436565   1.356498336
## 6883          Low 0.238960514   0.079712084
## 6884          Low 0.946409404   0.796677646
## 6885         High 0.056092836   0.048561691
## 6886         High 0.081749650   0.090222176
## 6887         High 1.025014836   1.039929296
## 6888          Low 0.548665917   0.544498748
## 6889          Low 0.238960514   0.248506696
## 6890          Low 0.789198540   0.733142239
## 6891         High 0.238960514   0.248506696
## 6892          Low 0.333287033   0.343477408
## 6893         High 0.547093808   0.542915903
## 6894         High 0.389882944   0.384631383
## 6895          Low 0.581680199   0.577738498
## 6896          Low 0.229527862   0.223181173
## 6897          Low 0.402459813   0.413122597
## 6898          Low 0.378878183   0.373551467
## 6899          Low 0.581680199   0.577738498
## 6900          Low 0.389882944   0.384631383
## 6901         High 0.407176139   0.402042681
## 6902          Low 0.358440771   0.352974479
## 6903         High 0.372589749   0.383048538
## 6904         High 0.396171378   0.406791216
## 6905         High 0.828501256   0.842073646
## 6906          Low 0.521940070   0.533418832
## 6907         High 0.710593107   0.723360256
## 6908         High 0.547093808   0.542915903
## 6909         High 0.176076168   0.185192888
## 6910         High 0.366301314   0.376717157
## 6911         High 0.201229907   0.194689959
## 6912          Low 0.169787734   0.178861507
## 6913          Low 0.238960514   0.248506696
## 6914          Low 0.311277512   0.305489123
## 6915          Low 0.389914386   0.384663040
## 6916          Low 0.523386410   0.534875050
## 6917         High 0.396171378   0.406791216
## 6918          Low 0.710593107   0.723360256
## 6919         High 0.020437412   0.012662762
## 6920          Low 0.014148978   0.022159833
## 6921         High 0.248393166   0.377698521
## 6922          Low 0.710593107   0.723360256
## 6923          Low 0.378878183   0.373551467
## 6924         High 0.075461215   0.068062344
## 6925         High 0.185351609   0.178703223
## 6926          Low 0.350265806   0.360572136
## 6927          Low 0.248393166   0.242175315
## 6928         High 0.427613551   0.438448120
## 6929          Low 0.003144217   0.011079916
## 6930         High 0.050307477   0.058565272
## 6931          Low 0.484209463   0.479602095
## 6932          Low 1.339436565   1.356498336
## 6933          Low 0.160355082   0.169364436
## 6934         High 0.553382243   0.565075736
## 6935          Low 0.216950993   0.210518411
## 6936         High 0.396171378   0.406791216
## 6937          Low 0.553382243   0.565075736
## 6938         High 0.402459813   0.413122597
## 6939         High 0.710593107   0.504547736
## 6940         High 0.867803972   0.699301009
## 6941         High 0.484209463   0.479602095
## 6942         High 0.777879357   0.791106031
## 6943          Low 0.856799211   0.870564859
## 6944          Low 0.773477453   0.786674064
## 6945          Low 0.248393166   0.242175315
## 6946         High 0.014148978   0.022159833
## 6947         High 0.468488376   0.463773643
## 6948         High 0.154066647   0.147204604
## 6949          Low 0.631987675   0.644217996
## 6950         High 0.789198540   0.802502516
## 6951         High 0.402459813   0.413122597
## 6952         High 0.075461215   0.068062344
## 6953         High 0.474776811   0.485933476
## 6954         High 0.191797255   0.201021340
## 6955          Low 1.490358995   0.936015508
## 6956         High 0.581680199   0.577738498
## 6957          Low 0.333287033   0.327648956
## 6958         High 0.540805374   0.536584522
## 6959          Low 0.306561186   0.316569040
## 6960         High 0.081749650   0.090222176
## 6961         High 0.370231586   0.364845818
## 6962         High 0.406390085   0.417079710
## 6963          Low 0.710593107   0.504547736
## 6964          Low 0.789198540   0.601924372
## 6965          Low 0.378878183   0.373551467
## 6966          Low 0.452767290   0.447945191
## 6967          Low 0.311277512   0.305489123
## 6968          Low 0.402459813   0.413122597
## 6969          Low 0.424343565   0.419327350
## 6970          Low 0.586396525   0.582487033
## 6971         High 0.585390375   0.581474012
## 6972         High 0.299172275   0.293301215
## 6973         High 0.574810084   0.586649916
## 6974         High 0.581680199   0.577738498
## 6975         High 0.378878183   0.373551467
## 6976         High 0.081749650   0.090222176
## 6977         High 0.484209463   0.479602095
## 6978          Low 0.548665917   0.544498748
## 6979          Low 0.468488376   0.463773643
## 6980          Low 0.160355082   0.169364436
## 6981         High 0.547093808   0.542915903
## 6982          Low 0.113191822   0.106050628
## 6983         High 0.547093808   0.542915903
## 6984          Low 0.553382243   0.309794462
## 6985          Low 0.631987675   0.407171099
## 6986          Low 0.238960514   0.248506696
## 6987         High 0.238174460   0.231886822
## 6988          Low 0.484209463   0.495430547
## 6989         High 0.176076168   0.185192888
## 6990          Low 0.562814895   0.558744355
## 6991         High 0.484209463   0.479602095
## 6992          Low 0.227955754   0.237426780
## 6993         High 0.154066647   0.147204604
## 6994          Low 0.521940070   0.533418832
## 6995         High 0.084893867   0.077559415
## 6996          Low 0.789198540   0.601924372
## 6997          Low 0.789198540   0.601924372
## 6998         High 0.402459813   0.413122597
## 6999         High 0.562814895   0.558744355
## 7000         High 0.578535981   0.574572807
## 7001         High 0.003144217   0.011079916
## 7002         High 0.396171378   0.406791216
## 7003         High 0.710593107   0.723360256
## 7004          Low 0.165102850   0.158316177
## 7005          Low 0.421325117   0.416288287
## 7006         High 0.018865304   0.011079916
## 7007          Low 0.367873423   0.378300003
## 7008         High 0.455911507   0.451110882
## 7009          Low 0.031442173   0.039571130
## 7010          Low 0.075461215   0.068062344
## 7011          Low 0.183936711   0.193107114
## 7012          Low 0.161927190   0.155118830
## 7013          Low 0.547093808   0.542915903
## 7014          Low 0.081749650   0.090222176
## 7015          Low 0.227955754   0.221598328
## 7016          Low 0.867803972   0.881644776
## 7017          Low 1.025014836   1.039929296
## 7018         High 0.378878183   0.373551467
## 7019         High 0.232672079   0.226346863
## 7020         High 0.160355082   0.169364436
## 7021         High 0.396171378   0.115041189
## 7022         High 0.946409404   0.796677646
## 7023          Low 1.056457009   1.023673476
## 7024         High 0.081749650   0.090222176
## 7025          Low 0.317565946   0.327648956
## 7026          Low 0.631987675   0.644217996
## 7027          Low 0.232672079   0.226346863
## 7028          Low 0.402459813   0.413122597
## 7029          Low 0.136773452   0.129793306
## 7030         High 0.341147576   0.351391634
## 7031         High 0.828501256   0.842073646
## 7032         High 0.547093808   0.542915903
## 7033          Low 0.451195181   0.462190798
## 7034          Low 0.946409404   0.904042035
## 7035         High 1.087899182   1.057847103
## 7036          Low 0.581680199   0.577738498
## 7037          Low 0.378878183   0.373551467
## 7038          Low 0.484209463   0.479602095
## 7039          Low 0.018865304   0.026908368
## 7040         High 0.154066647   0.147204604
## 7041          Low 0.372589749   0.383048538
## 7042         High 0.081749650   0.090222176
## 7043          Low 0.553382243   0.565075736
## 7044         High 0.081749650   0.090222176
## 7045          Low 0.553382243   0.565075736
## 7046         High 0.484209463   0.479602095
## 7047         High 0.581680199   0.577738498
## 7048         High 0.558098569   0.553995820
## 7049          Low 0.069172780   0.061730963
## 7050         High 0.075461215   0.068062344
## 7051          Low 0.160355082   0.169364436
## 7052         High 0.311277512   0.305489123
## 7053         High 0.232672079   0.226346863
## 7054         High 0.317565946   0.327648956
## 7055          Low 0.396171378   0.406791216
## 7056         High 1.276552220   1.293184528
## 7057          Low 0.347436011   0.341894563
## 7058         High 0.484209463   0.479602095
## 7059          Low 0.527442450   0.523130338
## 7060         High 0.378878183   0.373551467
## 7061          Low 0.317565946   0.327648956
## 7062         High 0.421325117   0.416288287
## 7063          Low 0.529800613   0.541333058
## 7064         High 0.374161857   0.368802931
## 7065          Low 0.124196583   0.117130545
## 7066         High 0.484209463   0.479602095
## 7067          Low 0.317565946   0.327648956
## 7068         High 0.389882944   0.384631383
## 7069          Low 0.317565946   0.327648956
## 7070         High 0.154066647   0.147204604
## 7071          Low 0.279835339   0.273832219
## 7072         High 0.474776811   0.485933476
## 7073         High 0.631987675   0.644217996
## 7074          Low 0.227955754   0.237426780
## 7075          Low 0.378878183   0.373551467
## 7076         High 0.084893867   0.077559415
## 7077         High 0.396171378   0.406791216
## 7078          Low 0.553382243   0.565075736
## 7079          Low 0.492148611   0.487595464
## 7080         High 0.067679277   0.076055712
## 7081          Low 0.014148978   0.022159833
## 7082          Low 0.000000000   0.007914226
## 7083          Low 0.389882944   0.384631383
## 7084         High 0.232672079   0.226346863
## 7085         High 0.191797255   0.201021340
## 7086         High 0.201229907   0.194689959
## 7087         High 0.238174460   0.231886822
## 7088         High 0.484209463   0.495430547
## 7089         High 0.232672079   0.226346863
## 7090         High 0.435002462   0.430059041
## 7091          Low 0.311277512   0.305489123
## 7092         High 0.003144217   0.011079916
## 7093         High 0.238960514   0.248506696
## 7094         High 0.311277512   0.305489123
## 7095          Low 0.294078643   0.288172797
## 7096         High 0.484209463   0.479602095
## 7097          Low 0.358440771   0.352974479
## 7098          Low 0.474776811   0.391342647
## 7099          Low 0.679150935   0.613510799
## 7100          Low 0.474776811   0.212417826
## 7101         High 0.679150935   0.465609744
## 7102          Low 0.631987675   0.644217996
## 7103         High 0.867803972   0.881644776
## 7104          Low 0.311277512   0.305489123
## 7105         High 0.097470736   0.106050628
## 7106          Low 0.389882944   0.384631383
## 7107         High 0.081749650   0.090222176
## 7108         High 0.352152336   0.346643099
## 7109         High 0.003144217   0.011079916
## 7110         High 0.396171378   0.406791216
## 7111          Low 0.789198540   0.802502516
## 7112          Low 0.232672079   0.226346863
## 7113         High 0.238960514   0.248506696
## 7114         High 0.201229907   0.194689959
## 7115         High 0.993572664   0.855116290
## 7116         High 1.103620269   0.991430919
## 7117         High 0.548665917   0.544498748
## 7118         High 0.946409404   0.904042035
## 7119         High 1.087899182   1.057847103
## 7120         High 0.025153738   0.017411297
## 7121         High 0.547093808   0.542915903
## 7122         High 0.451195181   0.462190798
## 7123         High 0.122624474   0.115547700
## 7124         High 0.232672079   0.226346863
## 7125         High 0.003144217   0.011079916
## 7126         High 0.160355082   0.169364436
## 7127         High 0.468488376   0.463773643
## 7128         High 0.317565946   0.017664552
## 7129          Low 0.474776811   0.212417826
## 7130          Low 0.326998598   0.321317575
## 7131         High 0.295556425   0.305489123
## 7132          Low 0.484209463   0.479602095
## 7133          Low 0.018865304   0.026908368
## 7134         High 0.378878183   0.373551467
## 7135         High 0.389882944   0.384631383
## 7136         High 0.378878183   0.373551467
## 7137          Low 0.389882944   0.384631383
## 7138         High 0.169787734   0.163033056
## 7139          Low 0.389882944   0.384631383
## 7140          Low 0.036158499   0.028491214
## 7141          Low 0.174504060   0.183610043
## 7142         High 0.515651636   0.527087451
## 7143          Low 0.547093808   0.542915903
## 7144         High 0.036158499   0.028491214
## 7145          Low 0.378878183   0.373551467
## 7146         High 0.232672079   0.226346863
## 7147          Low 0.389882944   0.384631383
## 7148         High 0.036158499   0.028491214
## 7149         High 0.113191822   0.106050628
## 7150          Low 0.161927190   0.155118830
## 7151         High 0.075461215   0.068062344
## 7152         High 0.553382243   0.565075736
## 7153         High 0.234181304   0.227866395
## 7154          Low 0.378878183   0.373551467
## 7155         High 0.592370537   0.588501845
## 7156         High 0.081749650   0.090222176
## 7157         High 0.159726238   0.152902846
## 7158         High 0.374161857   0.368802931
## 7159         High 0.177333855   0.170630712
## 7160          Low 0.311277512   0.305489123
## 7161         High 0.176076168   0.185192888
## 7162          Low 0.075461215   0.469218631
## 7163         High 0.238960514   0.079712084
## 7164          Low 0.484209463   0.479602095
## 7165         High 0.154066647   0.147204604
## 7166          Low 0.003144217   0.011079916
## 7167          Low 0.000000000   0.007914226
## 7168          Low 0.175525930   0.184638892
## 7169          Low 0.743292967   0.756283436
## 7170          Low 0.484209463   0.479602095
## 7171          Low 0.132057126   0.125044771
## 7172          Low 0.710593107   0.723360256
## 7173         High 0.389882944   0.384631383
## 7174         High 0.169787734   0.163033056
## 7175         High 0.427613551   0.438448120
## 7176         High 0.168750142   0.161988378
## 7177         High 0.369980048   0.380421015
## 7178          Low 1.087899182   1.103243104
## 7179         High 0.587968633   0.584069878
## 7180          Low 0.248393166   0.242175315
## 7181         High 0.521940070   0.533418832
## 7182          Low 0.899246145   0.913301680
## 7183          Low 0.426041443   0.421036823
## 7184          Low 0.452767290   0.447945191
## 7185         High 0.311277512   0.305489123
## 7186          Low 0.196513581   0.189941424
## 7187          Low 1.103620269   1.119071556
## 7188          Low 0.248393166   0.242175315
## 7189         High 0.562814895   0.558744355
## 7190         High 0.207518341   0.216849792
## 7191         High 0.547093808   0.542915903
## 7192          Low 0.075461215   0.068062344
## 7193          Low 0.553382243   0.565075736
## 7194          Low 0.460627833   0.455859417
## 7195         High 0.345863902   0.356140170
## 7196          Low 0.581680199   0.577738498
## 7197         High 0.012576869   0.004748536
## 7198          Low 0.081749650   0.274465358
## 7199         High 0.122624474   0.115547700
## 7200         High 0.014148978   0.022159833
## 7201          Low 0.389882944   0.384631383
## 7202          Low 0.547093808   0.542915903
## 7203          Low 0.154066647   0.147204604
## 7204          Low 0.493642114   0.489099167
## 7205          Low 0.064142033   0.056665858
## 7206          Low 0.333287033   0.343477408
## 7207          Low 0.710593107   0.723360256
## 7208          Low 0.710593107   0.504547736
## 7209          Low 0.867803972   0.699301009
## 7210          Low 0.553382243   0.565075736
## 7211         High 0.710593107   0.723360256
## 7212          Low 0.176076168   0.185192888
## 7213          Low 0.561242786   0.572989962
## 7214          Low 0.924399883   0.938627203
## 7215          Low 0.154066647   0.147204604
## 7216          Low 0.484209463   0.479602095
## 7217         High 0.560849759   0.572594251
## 7218          Low 0.682295152   0.694869042
## 7219         High 1.025014836   1.039929296
## 7220          Low 0.311277512   0.305489123
## 7221         High 0.160355082   0.169364436
## 7222          Low 0.389882944   0.384631383
## 7223         High 0.075461215   0.068062344
## 7224         High 0.946409404   0.904042035
## 7225         High 1.087899182   1.057847103
## 7226         High 0.232672079   0.226346863
## 7227         High 0.547093808   0.542915903
## 7228          Low 0.003144217   0.011079916
## 7229         High 0.389898665   0.384647212
## 7230         High 0.523402131   0.534890878
## 7231         High 0.396171378   0.406791216
## 7232          Low 0.416372975   0.411302325
## 7233         High 0.581680199   0.577738498
## 7234          Low 0.389882944   0.384631383
## 7235          Low 0.232672079   0.226346863
## 7236          Low 0.232672079   0.226346863
## 7237         High 0.075461215   0.068062344
## 7238          Low 0.484209463   0.479602095
## 7239          Low 0.075461215   0.068062344
## 7240          Low 0.238960514   0.248506696
## 7241         High 0.710593107   0.723360256
## 7242         High 0.003144217   0.441756267
## 7243         High 0.946409404   0.796012851
## 7244         High 0.757756367   0.770845612
## 7245          Low 0.232672079   0.226346863
## 7246          Low 0.227955754   0.237426780
## 7247          Low 0.160355082   0.169364436
## 7248          Low 0.317565946   0.327648956
## 7249          Low 0.484209463   0.479602095
## 7250         High 0.484209463   0.479602095
## 7251          Low 0.232672079   0.226346863
## 7252          Low 0.075461215   0.068062344
## 7253          Low 0.484209463   0.479602095
## 7254         High 0.134415289   0.127419039
## 7255          Low 0.710593107   0.723360256
## 7256         High 0.081749650   0.090222176
## 7257         High 0.474776811   0.485933476
## 7258          Low 0.474776811   0.485933476
## 7259          Low 0.081749650   0.090222176
## 7260          Low 0.679150935   0.691703352
## 7261          Low 0.789198540   0.802502516
## 7262         High 0.547093808   0.542915903
## 7263          Low 1.087899182   1.103243104
## 7264         High 0.075461215   0.068062344
## 7265         High 0.553382243   0.565075736
## 7266         High 0.548665917   0.544498748
## 7267          Low 0.443334638   0.454276572
## 7268         High 0.278263230   0.288077826
## 7269         High 0.671290391   0.683789126
## 7270         High 0.468488376   0.463773643
## 7271          Low 0.238960514   0.079712084
## 7272          Low 0.946409404   0.796677646
## 7273          Low 0.488925789   0.484350631
## 7274         High 0.349008119   0.359305860
## 7275         High 0.521940070   0.533418832
## 7276         High 0.521940070   0.533418832
## 7277          Low 0.710593107   0.723360256
## 7278         High 0.389882944   0.384631383
## 7279          Low 0.484209463   0.479602095
## 7280         High 0.407176139   0.402042681
## 7281          Low 0.160355082   0.169364436
## 7282          Low 0.232672079   0.226346863
## 7283          Low 0.190225146   0.183610043
## 7284          Low 0.569103329   0.580904188
## 7285          Low 0.232672079   0.226346863
## 7286         High 0.081749650   0.090222176
## 7287         High 0.081749650   0.090222176
## 7288          Low 0.003144217   0.011079916
## 7289          Low 0.042446933   0.050651046
## 7290         High 0.177648277   0.170947282
## 7291          Low 0.396171378   0.406791216
## 7292          Low 0.710593107   0.723360256
## 7293          Low 0.515651636   0.511258999
## 7294          Low 0.326998598   0.321317575
## 7295         High 0.232672079   0.226346863
## 7296          Low 0.547093808   0.542915903
## 7297          Low 0.232672079   0.226346863
## 7298          Low 0.232672079   0.226346863
## 7299          Low 0.407176139   0.402042681
## 7300          Low 0.286123773   0.280163600
## 7301         High 0.361584988   0.371968622
## 7302          Low 1.025014836   0.894054282
## 7303         High 1.103620269   0.991430919
## 7304         High 0.867803972   0.881644776
## 7305         High 0.254681600   0.248506696
## 7306         High 0.311277512   0.305489123
## 7307         High 0.113191822   0.121879080
## 7308          Low 0.081749650   0.010035239
## 7309         High 0.238960514   0.079712084
## 7310          Low 0.553382243   0.309794462
## 7311          Low 0.378878183   0.373551467
## 7312         High 0.232672079   0.226346863
## 7313         High 0.232672079   0.226346863
## 7314         High 0.374161857   0.368802931
## 7315         High 0.578535981   0.574572807
## 7316         High 0.278263230   0.288077826
## 7317         High 0.484209463   0.479602095
## 7318         High 0.946409404   0.904042035
## 7319         High 1.087899182   1.057847103
## 7320         High 0.003144217   0.011079916
## 7321          Low 0.317565946   0.327648956
## 7322         High 0.474776811   0.212417826
## 7323         High 1.025014836   0.894054282
## 7324         High 0.389882944   0.384631383
## 7325         High 0.561242786   0.485331995
## 7326         High 0.710593107   0.647684427
## 7327          Low 0.339575467   0.333980337
## 7328         High 0.613122371   0.541728769
## 7329         High 0.757756367   0.698968611
## 7330         High 0.547093808   0.542915903
## 7331         High 0.527442450   0.523130338
## 7332         High 0.311277512   0.305489123
## 7333          Low 0.311277512   0.305489123
## 7334          Low 0.484209463   0.479602095
## 7335          Low 0.547093808   0.542915903
## 7336          Low 0.075461215   0.068062344
## 7337          Low 0.553382243   0.565075736
## 7338         High 0.323225537   0.317518747
## 7339         High 0.003144217   0.011079916
## 7340         High 0.867803972   0.699301009
## 7341          Low 0.396171378   0.305900663
## 7342          Low 1.182225701   1.198213816
## 7343          Low 1.252970590   1.269441850
## 7344         High 0.232672079   0.226346863
## 7345          Low 0.484209463   0.479602095
## 7346          Low 0.562814895   0.558744355
## 7347          Low 0.227955754   0.237426780
## 7348          Low 0.389882944   0.384631383
## 7349          Low 0.081749650   0.090222176
## 7350          Low 0.401830970   0.396661007
## 7351          Low 0.227955754   0.237426780
## 7352         High 0.075461215   0.068062344
## 7353          Low 0.389882944   0.384631383
## 7354          Low 0.238960514   0.248506696
## 7355          Low 0.521940070   0.533418832
## 7356         High 0.227955754   0.237426780
## 7357         High 0.389882944   0.384631383
## 7358         High 0.002829796   0.005065105
## 7359         High 0.639848218   0.652132222
## 7360         High 1.182225701   1.198213816
## 7361          Low 0.086151554   0.078825691
## 7362          Low 0.289267991   0.283329291
## 7363          Low 0.531372722   0.527087451
## 7364         High 0.083321758   0.075976570
## 7365         High 0.154066647   0.147204604
## 7366         High 0.372589749   0.383048538
## 7367          Low 0.531372722   0.527087451
## 7368          Low 0.631987675   0.562242443
## 7369         High 0.238960514   0.135000867
## 7370          Low 0.378878183   0.373551467
## 7371         High 0.547093808   0.542915903
## 7372          Low 0.946409404   0.904042035
## 7373         High 1.087899182   1.057847103
## 7374          Low 0.003144217   0.011079916
## 7375          Low 0.553382243   0.565075736
## 7376          Low 0.014148978   0.022159833
## 7377         High 0.631987675   0.644217996
## 7378         High 0.426041443   0.421036823
## 7379         High 0.171359842   0.180444353
## 7380          Low 0.176862223   0.170155859
## 7381         High 0.449623072   0.444779501
## 7382          Low 0.437046203   0.432116739
## 7383         High 0.804919626   0.778190014
## 7384         High 0.232672079   0.226346863
## 7385          Low 0.378878183   0.373551467
## 7386          Low 0.374161857   0.368802931
## 7387         High 0.547093808   0.542915903
## 7388         High 0.572247547   0.568241426
## 7389         High 0.081749650   0.090222176
## 7390         High 0.553382243   0.565075736
## 7391          Low 0.317565946   0.327648956
## 7392          Low 0.631987675   0.644217996
## 7393          Low 0.527976967   0.523668506
## 7394          Low 0.344763426   0.355032178
## 7395         High 0.474776811   0.485933476
## 7396         High 0.553382243   0.565075736
## 7397         High 0.529800613   0.525504606
## 7398          Low 0.160355082   0.169364436
## 7399         High 0.474776811   0.485933476
## 7400          Low 0.081749650   0.090222176
## 7401         High 0.553382243   0.565075736
## 7402          Low 0.003144217   0.011079916
## 7403         High 1.056457009   0.933008103
## 7404         High 1.103620269   0.991430919
## 7405         High 0.154066647   0.147204604
## 7406         High 0.000000000   0.007914226
## 7407          Low 0.389882944   0.384631383
## 7408          Low 0.232672079   0.226346863
## 7409          Low 0.232672079   0.226346863
## 7410          Low 0.484209463   0.479602095
## 7411         High 0.946409404   0.796677646
## 7412          Low 1.103620269   0.991430919
## 7413          Low 0.789198540   0.601924372
## 7414          Low 0.946409404   0.796677646
## 7415          Low 1.418041998   1.435640596
## 7416          Low 0.553382243   0.309794462
## 7417          Low 0.907106688   0.747989327
## 7418          Low 0.317565946   0.327648956
## 7419         High 0.474776811   0.485933476
## 7420          Low 0.547093808   0.542915903
## 7421         High 0.154066647   0.147204604
## 7422         High 0.154066647   0.147204604
## 7423         High 0.867803972   0.818584223
## 7424          Low 0.389882944   0.384631383
## 7425          Low 0.232672079   0.226346863
## 7426         High 0.474776811   0.485933476
## 7427         High 0.081749650   0.602510025
## 7428         High 0.081749650   0.487785405
## 7429          Low 0.547093808   0.542915903
## 7430         High 0.232672079   0.226346863
## 7431         High 0.358440771   0.352974479
## 7432         High 0.372589749   0.383048538
## 7433          Low 0.154066647   0.147204604
## 7434         High 0.547093808   0.542915903
## 7435          Low 0.081749650   0.090222176
## 7436          Low 0.396171378   0.406791216
## 7437         High 0.081749650   0.090222176
## 7438         High 0.154066647   0.147204604
## 7439         High 0.278263230   0.272249374
## 7440          Low 0.456477466   0.451680706
## 7441         High 0.106903388   0.099719248
## 7442         High 0.333287033   0.276111517
## 7443         High 0.317565946   0.327648956
## 7444          Low 0.631987675   0.644217996
## 7445          Low 0.468488376   0.463773643
## 7446          Low 0.004716326   0.003165690
## 7447         High 0.396171378   0.406791216
## 7448         High 0.553382243   0.565075736
## 7449         High 0.946409404   0.904042035
## 7450          Low 1.087899182   1.057847103
## 7451         High 0.290840099   0.284912136
## 7452          Low 0.187080929   0.180444353
## 7453         High 0.122624474   0.115547700
## 7454         High 0.484209463   0.479602095
## 7455         High 0.075461215   0.068062344
## 7456          Low 0.484209463   0.479602095
## 7457         High 0.389882944   0.384631383
## 7458          Low 0.075461215   0.068062344
## 7459         High 0.343898766   0.338333161
## 7460          Low 0.468488376   0.463773643
## 7461          Low 0.484209463   0.479602095
## 7462          Low 0.358440771   0.352974479
## 7463         High 0.484209463   0.479602095
## 7464          Low 0.081749650   0.090222176
## 7465         High 0.059740129   0.052233892
## 7466          Low 0.578535981   0.574572807
## 7467          Low 0.474776811   0.485933476
## 7468          Low 0.000000000   0.007914226
## 7469         High 0.311277512   0.305489123
## 7470         High 0.106903388   0.099719248
## 7471          Low 0.154066647   0.147204604
## 7472          Low 0.301844860   0.311820504
## 7473         High 0.547093808   0.542915903
## 7474         High 0.531372722   0.527087451
## 7475          Low 0.012576869   0.004748536
## 7476          Low 0.789198540   1.028105442
## 7477         High 0.867803972   0.881644776
## 7478          Low 0.553382243   0.852188027
## 7479          Low 0.154066647   0.147204604
## 7480          Low 0.547093808   0.542915903
## 7481         High 0.232672079   0.226346863
## 7482          Low 0.389898665   0.384647212
## 7483         High 0.523402131   0.534890878
## 7484          Low 0.177365297   0.186490821
## 7485         High 0.836959200   0.850589353
## 7486          Low 0.468488376   0.463773643
## 7487         High 0.317565946   0.327648956
## 7488         High 0.631987675   0.644217996
## 7489          Low 0.440190421   0.435282430
## 7490         High 0.401830970   0.396661007
## 7491          Low 0.081749650   0.090222176
## 7492         High 0.396171378   0.406791216
## 7493          Low 0.378878183   0.373551467
## 7494          Low 0.946409404   0.904042035
## 7495          Low 0.389882944   0.384631383
## 7496         High 0.547093808   0.542915903
## 7497          Low 0.075461215   0.068062344
## 7498          Low 0.238960514   0.248506696
## 7499         High 0.474776811   0.485933476
## 7500         High 0.324326013   0.026037804
## 7501         High 0.389882944   0.384631383
## 7502          Low 0.396171378   0.406791216
## 7503         High 0.232672079   0.226346863
## 7504          Low 0.232672079   0.226346863
## 7505          Low 0.012576869   0.004748536
## 7506          Low 0.008646598   0.016619875
## 7507         High 0.547093808   0.542915903
## 7508          Low 0.584824416   0.596732640
## 7509         High 0.710593107   0.723360256
## 7510          Low 0.946409404   0.904042035
## 7511         High 1.087899182   1.057847103
## 7512          Low 0.317565946   0.327648956
## 7513         High 0.631987675   0.644217996
## 7514          Low 0.311277512   0.305489123
## 7515         High 0.238960514   0.248506696
## 7516          Low 0.003144217   0.011079916
## 7517         High 0.238960514   0.248506696
## 7518         High 0.468488376   0.463773643
## 7519          Low 0.004716326   0.003165690
## 7520         High 0.311277512   0.305489123
## 7521          Low 0.456477466   0.451680706
## 7522          Low 0.311277512   0.305489123
## 7523          Low 0.396171378   0.406791216
## 7524         High 0.553382243   0.565075736
## 7525         High 0.474776811   0.485933476
## 7526          Low 0.644564544   0.656880758
## 7527          Low 0.771905345   0.785091219
## 7528         High 0.389882944   0.384631383
## 7529          Low 0.311277512   0.305489123
## 7530         High 0.081749650   0.090222176
## 7531         High 0.468488376   0.463773643
## 7532         High 0.232672079   0.226346863
## 7533         High 0.134415289   0.127419039
## 7534          Low 0.484209463   0.479602095
## 7535          Low 0.484209463   0.479602095
## 7536         High 0.073889106   0.082307950
## 7537         High 0.154066647   0.147204604
## 7538         High 0.160355082   0.169364436
## 7539          Low 0.256253709   0.250089541
## 7540         High 0.146206104   0.139290378
## 7541         High 0.710593107   0.504547736
## 7542         High 0.946409404   0.796677646
## 7543         High 0.374161857   0.368802931
## 7544          Low 0.196513581   0.205769876
## 7545          Low 0.682295152   0.694869042
## 7546          Low 0.389882944   0.384631383
## 7547         High 0.468488376   0.463773643
## 7548          Low 0.020437412   0.012662762
## 7549          Low 0.474776811   0.485933476
## 7550         High 0.757756367   0.725133043
## 7551         High 0.081749650   0.090222176
## 7552          Low 0.396171378   0.406791216
## 7553          Low 0.358440771   0.352974479
## 7554         High 0.372589749   0.383048538
## 7555          Low 1.339436565   1.331283612
## 7556          Low 0.044019042   0.036405440
## 7557          Low 0.710593107   0.723360256
## 7558         High 0.452767290   0.447945191
## 7559          Low 0.295556425   0.289660671
## 7560         High 0.134415289   0.127419039
## 7561         High 0.426041443   0.421036823
## 7562         High 0.303416968   0.297574897
## 7563         High 0.320710164   0.314986195
## 7564         High 0.154066647   0.147204604
## 7565         High 0.232672079   0.226346863
## 7566         High 0.236602351   0.230303976
## 7567         High 0.311277512   0.305489123
## 7568          Low 0.020437412   0.012662762
## 7569          Low 0.468488376   0.463773643
## 7570          Low 0.378878183   0.373551467
## 7571          Low 0.232672079   0.226346863
## 7572          Low 0.155512987   0.148660821
## 7573          Low 0.389882944   0.384631383
## 7574          Low 0.238960514   0.248506696
## 7575         High 0.421325117   0.416288287
## 7576          Low 0.366301314   0.360888705
## 7577         High 0.020437412   0.012662762
## 7578         High 0.050307477   0.058565272
## 7579         High 0.081749650   0.090222176
## 7580          Low 0.160355082   0.169364436
## 7581          Low 0.025153738   0.017411297
## 7582          Low 0.238960514   0.135000867
## 7583         High 0.474776811   0.391342647
## 7584          Low 0.358440771   0.352974479
## 7585         High 0.317565946   0.327648956
## 7586          Low 0.547093808   0.542915903
## 7587          Low 0.468488376   0.463773643
## 7588          Low 0.004716326   0.003165690
## 7589         High 0.081749650   0.090222176
## 7590          Low 0.396171378   0.406791216
## 7591         High 1.025014836   0.989484019
## 7592          Low 0.594257068   0.590401259
## 7593          Low 0.631987675   0.407171099
## 7594         High 0.993572664   0.855116290
## 7595          Low 0.232672079   0.226346863
## 7596         High 0.553382243   0.309794462
## 7597          Low 0.993572664   0.855116290
## 7598         High 0.238960514   0.079712084
## 7599         High 0.710593107   0.504547736
## 7600          Low 0.091182301   0.083890796
## 7601          Low 0.106903388   0.268102320
## 7602         High 0.553382243   0.508948045
## 7603          Low 0.389882944   0.384631383
## 7604         High 0.474776811   0.485933476
## 7605         High 0.704304673   0.717028875
## 7606         High 0.317565946   0.327648956
## 7607         High 0.474776811   0.485933476
## 7608          Low 0.374161857   0.368802931
## 7609          Low 0.196513581   0.205769876
## 7610         High 0.682295152   0.694869042
## 7611          Low 0.773477453   0.716047511
## 7612          Low 0.341147576   0.351391634
## 7613          Low 0.828501256   0.842073646
## 7614          Low 0.453144596   0.448325074
## 7615          Low 0.547093808   0.542915903
## 7616         High 0.679150935   0.691703352
## 7617          Low 0.742035280   0.755017160
## 7618         High 0.154066647   0.147204604
## 7619         High 0.311277512   0.305489123
## 7620          Low 0.238960514   0.248506696
## 7621          Low 0.326998598   0.321317575
## 7622          Low 0.238960514   0.248506696
## 7623         High 0.238960514   0.248506696
## 7624          Low 0.539233265   0.535001677
## 7625          Low 0.066028563   0.058565272
## 7626          Low 0.232672079   0.226346863
## 7627          Low 0.007860543   0.000000000
## 7628          Low 0.374161857   0.368802931
## 7629         High 0.042446933   0.050651046
## 7630          Low 0.426041443   0.421036823
## 7631          Low 0.326998598   0.321317575
## 7632          Low 0.136773452   0.129793306
## 7633         High 0.025153738   0.017411297
## 7634         High 0.042446933   0.034822594
## 7635          Low 0.012891291   0.005065105
## 7636          Low 0.073889106   0.082307950
## 7637         High 0.257825818   0.251672387
## 7638         High 0.161927190   0.155118830
## 7639          Low 0.238960514   0.248506696
## 7640          Low 0.160355082   0.169364436
## 7641         High 0.553382243   0.565075736
## 7642         High 0.168750142   0.161988378
## 7643          Low 0.369980048   0.380421015
## 7644         High 0.232672079   0.226346863
## 7645          Low 0.232672079   0.226346863
## 7646          Low 0.389882944   0.384631383
## 7647          Low 0.515651636   0.511258999
## 7648         High 0.207518341   0.216849792
## 7649         High 0.631987675   0.644217996
## 7650         High 0.899246145   0.913301680
## 7651         High 0.075461215   0.068062344
## 7652         High 0.474776811   0.485933476
## 7653          Low 0.389882944   0.384631383
## 7654         High 0.286123773   0.295992052
## 7655         High 0.106903388   0.099719248
## 7656          Low 0.389882944   0.384631383
## 7657          Low 0.081749650   0.090222176
## 7658         High 0.227955754   0.237426780
## 7659         High 0.155638756   0.148787449
## 7660         High 0.492070006   0.503344773
## 7661          Low 0.000000000   0.007914226
## 7662          Low 0.081749650   0.090222176
## 7663          Low 0.484209463   0.479602095
## 7664          Low 0.081749650   0.090222176
## 7665          Low 0.317565946   0.327648956
## 7666         High 0.553382243   0.309794462
## 7667          Low 0.907106688   0.747989327
## 7668         High 0.547093808   0.542915903
## 7669          Low 0.160355082   0.169364436
## 7670         High 0.236602351   0.230303976
## 7671         High 0.389882944   0.384631383
## 7672         High 0.547093808   0.542915903
## 7673          Low 0.567342568   0.563302949
## 7674          Low 0.173057720   0.182153826
## 7675          Low 0.594257068   0.590401259
## 7676         High 0.553382243   0.565075736
## 7677         High 0.789198540   0.802502516
## 7678         High 0.474776811   0.485933476
## 7679         High 0.631987675   0.644217996
## 7680         High 0.136773452   0.129793306
## 7681         High 0.081749650   0.487785405
## 7682         High 0.012891291   0.005065105
## 7683         High 0.553382243   0.565075736
## 7684         High 0.396171378   0.406791216
## 7685          Low 0.539233265   0.535001677
## 7686          Low 0.066028563   0.058565272
## 7687          Low 0.003144217   0.011079916
## 7688         High 0.553382243   0.565075736
## 7689          Low 0.180855379   0.174176286
## 7690          Low 0.081749650   0.090222176
## 7691          Low 0.474776811   0.485933476
## 7692          Low 0.474776811   0.485933476
## 7693          Low 0.710593107   0.723360256
## 7694          Low 0.389882944   0.384631383
## 7695          Low 0.084893867   0.077559415
## 7696          Low 0.497572386   0.493056280
## 7697          Low 0.539233265   0.535001677
## 7698         High 0.066028563   0.058565272
## 7699          Low 0.789198540   0.733142239
## 7700          Low 0.946409404   0.904042035
## 7701          Low 0.553382243   0.476800459
## 7702          Low 0.946409404   0.904042035
## 7703          Low 0.344291793   0.050777674
## 7704         High 0.117908148   0.521800748
## 7705         High 0.344291793   0.050777674
## 7706         High 0.374161857   0.368802931
## 7707          Low 0.389882944   0.384631383
## 7708          Low 0.326998598   0.321317575
## 7709          Low 0.075461215   0.068062344
## 7710          Low 0.389882944   0.384631383
## 7711          Low 0.326998598   0.321317575
## 7712          Low 0.370231586   0.364845818
## 7713          Low 0.016507141   0.008705649
## 7714         High 0.374161857   0.368802931
## 7715          Low 0.547093808   0.542915903
## 7716          Low 0.020437412   0.012662762
## 7717          Low 0.185508820   0.178861507
## 7718         High 0.515651636   0.511258999
## 7719          Low 0.389882944   0.384631383
## 7720          Low 0.081749650   0.090222176
## 7721          Low 0.154066647   0.292240709
## 7722         High 0.547093808   0.542915903
## 7723          Low 0.232672079   0.226346863
## 7724         High 0.468488376   0.463773643
## 7725          Low 0.011004761   0.018994142
## 7726          Low 0.553382243   0.565075736
## 7727          Low 0.238960514   0.248506696
## 7728          Low 0.553382243   0.565075736
## 7729          Low 0.025153738   0.017411297
## 7730         High 0.311277512   0.305489123
## 7731         High 0.238960514   0.248506696
## 7732          Low 0.311277512   0.305489123
## 7733         High 0.342719685   0.337146027
## 7734          Low 0.176076168   0.185192888
## 7735         High 0.224811536   0.218432637
## 7736          Low 0.003144217   0.011079916
## 7737         High 0.317565946   0.327648956
## 7738         High 0.521940070   0.533418832
## 7739          Low 0.710593107   0.723360256
## 7740          Low 0.275119013   0.269083684
## 7741         High 0.293984317   0.288077826
## 7742          Low 0.275119013   0.269083684
## 7743         High 0.710593107   0.647684427
## 7744         High 0.259397926   0.253255232
## 7745         High 0.025153738   0.017411297
## 7746          Low 0.867803972   0.881644776
## 7747          Low 0.081749650   0.090222176
## 7748          Low 0.311277512   0.305489123
## 7749         High 0.075461215   0.068062344
## 7750         High 0.081749650   0.090222176
## 7751         High 0.358991009   0.369356927
## 7752          Low 0.474776811   0.485933476
## 7753         High 0.539233265   0.535001677
## 7754          Low 0.066028563   0.058565272
## 7755         High 0.539233265   0.535001677
## 7756          Low 0.066028563   0.058565272
## 7757         High 0.050307477   0.058565272
## 7758          Low 0.396171378   0.115041189
## 7759          Low 1.025014836   0.894054282
## 7760          Low 0.374161857   0.368802931
## 7761         High 0.160355082   0.169364436
## 7762         High 0.309705403   0.319734730
## 7763          Low 0.259397926   0.253255232
## 7764          Low 0.081749650   0.090222176
## 7765         High 0.311277512   0.305489123
## 7766          Low 0.117122094   0.125836193
## 7767         High 0.264114252   0.258003767
## 7768          Low 0.374161857   0.368802931
## 7769          Low 0.232672079   0.226346863
## 7770          Low 0.474776811   0.485933476
## 7771          Low 0.185351609   0.178703223
## 7772          Low 0.350265806   0.360572136
## 7773         High 0.378878183   0.373551467
## 7774         High 0.311277512   0.305489123
## 7775         High 0.264114252   0.258003767
## 7776          Low 0.581680199   0.577738498
## 7777          Low 0.547093808   0.542915903
## 7778         High 0.256253709   0.250089541
## 7779          Low 0.427613551   0.438448120
## 7780         High 0.169787734   0.163033056
## 7781         High 0.484209463   0.479602095
## 7782          Low 0.631987675   0.407171099
## 7783          Low 1.087113128   0.970980559
## 7784          Low 0.075461215   0.068062344
## 7785          Low 0.547093808   0.542915903
## 7786         High 0.169787734   0.163033056
## 7787          Low 0.389882944   0.384631383
## 7788          Low 0.232672079   0.226346863
## 7789          Low 0.003144217   0.371841994
## 7790         High 0.317565946   0.017664552
## 7791          Low 0.025153738   0.017411297
## 7792          Low 0.317565946   0.327648956
## 7793          Low 0.474776811   0.485933476
## 7794          Low 0.232672079   0.226346863
## 7795          Low 0.326998598   0.321317575
## 7796          Low 0.238960514   0.248506696
## 7797          Low 0.581680199   0.577738498
## 7798         High 0.160355082   0.169364436
## 7799          Low 0.309705403   0.319734730
## 7800         High 0.020437412   0.012662762
## 7801          Low 0.326998598   0.321317575
## 7802         High 0.547093808   0.542915903
## 7803         High 0.389882944   0.384631383
## 7804         High 0.946409404   0.904042035
## 7805          Low 1.087899182   1.057847103
## 7806         High 0.232672079   0.226346863
## 7807          Low 1.182225701   1.198213816
## 7808          Low 0.311277512   0.305489123
## 7809          Low 1.114310607   1.129834903
## 7810         High 0.553382243   0.476800459
## 7811         High 0.012576869   0.004748536
## 7812          Low 0.389882944   0.384631383
## 7813          Low 0.264114252   0.258003767
## 7814          Low 0.179220386   0.188358579
## 7815          Low 0.238960514   0.248506696
## 7816         High 0.106903388   0.099719248
## 7817         High 0.600545502   0.528068815
## 7818          Low 0.710593107   0.647684427
## 7819          Low 0.581680199   0.577738498
## 7820         High 0.378878183   0.373551467
## 7821         High 0.259397926   0.253255232
## 7822         High 0.581680199   0.577738498
## 7823         High 1.025014836   1.039929296
## 7824          Low 0.012891291   0.005065105
## 7825          Low 0.484209463   0.479602095
## 7826         High 0.018865304   0.026908368
## 7827          Low 0.311277512   0.305489123
## 7828         High 0.075461215   0.068062344
## 7829          Low 0.275119013   0.269083684
## 7830         High 0.262605028   0.256484236
## 7831          Low 0.378878183   0.373551467
## 7832         High 0.000000000   0.007914226
## 7833          Low 0.362842675   0.357406446
## 7834          Low 0.026725847   0.018994142
## 7835          Low 0.547093808   0.542915903
## 7836          Low 0.081749650   0.090222176
## 7837          Low 0.081749650   0.035898929
## 7838          Low 0.396171378   0.305900663
## 7839          Low 0.539233265   0.535001677
## 7840          Low 0.066028563   0.058565272
## 7841         High 0.539233265   0.535001677
## 7842          Low 0.066028563   0.058565272
## 7843         High 0.317565946   0.327648956
## 7844          Low 0.710168638   0.504025397
## 7845          Low 0.950544050   0.801806064
## 7846          Low 0.004857816   0.369720982
## 7847         High 0.396171378   0.406791216
## 7848          Low 0.631987675   0.644217996
## 7849          Low 0.307190029   0.301373726
## 7850          Low 0.624315785   0.636493711
## 7851         High 0.518795853   0.530253142
## 7852          Low 0.632302097   0.644534565
## 7853         High 0.025153738   0.017411297
## 7854         High 0.294518834   0.304444446
## 7855         High 0.232672079   0.226346863
## 7856         High 0.238960514   0.248506696
## 7857          Low 0.993572664   0.855116290
## 7858          Low 1.103620269   0.991430919
## 7859          Low 0.358991009   0.369356927
## 7860          Low 0.084893867   0.077559415
## 7861         High 0.232672079   0.226346863
## 7862          Low 0.025153738   0.017411297
## 7863         High 0.547093808   0.542915903
## 7864          Low 0.232672079   0.226346863
## 7865          Low 0.311277512   0.305489123
## 7866          Low 0.389882944   0.384631383
## 7867          Low 1.087899182   1.057847103
## 7868          Low 0.160355082   0.169364436
## 7869         High 0.309705403   0.319734730
## 7870          Low 0.227955754   0.237426780
## 7871         High 0.270717109   0.280480169
## 7872          Low 0.468488376   0.463773643
## 7873          Low 0.326998598   0.321317575
## 7874         High 0.326998598   0.321317575
## 7875         High 0.018865304   0.026908368
## 7876          Low 0.631987675   0.644217996
## 7877          Low 0.012576869   0.004748536
## 7878          Low 0.081749650   0.090222176
## 7879          Low 0.547093808   0.542915903
## 7880         High 0.081749650   0.090222176
## 7881          Low 0.160355082   0.177088721
## 7882          Low 0.075461215   0.068062344
## 7883         High 0.396171378   0.406791216
## 7884          Low 0.789198540   0.802502516
## 7885          Low 0.899246145   0.913301680
## 7886          Low 0.160355082   0.169364436
## 7887         High 0.317565946   0.327648956
## 7888          Low 0.507791092   0.503344773
## 7889         High 0.372589749   0.383048538
## 7890         High 1.182225701   1.198213816
## 7891         High 0.616266589   0.628389544
## 7892          Low 0.331353339   0.325702057
## 7893         High 0.232672079   0.226346863
## 7894          Low 0.238960514   0.248506696
## 7895         High 0.334859141   0.329231801
## 7896          Low 0.427613551   0.438448120
## 7897         High 0.396171378   0.406791216
## 7898         High 0.710593107   0.723360256
## 7899         High 0.578535981   0.574572807
## 7900         High 0.160355082   0.169364436
## 7901          Low 0.539233265   0.535001677
## 7902         High 0.547093808   0.542915903
## 7903          Low 0.232672079   0.226346863
## 7904          Low 0.238960514   0.079712084
## 7905          Low 0.710593107   0.504547736
## 7906         High 0.427613551   1.385622687
## 7907          Low 0.059740129   1.357922896
## 7908         High 0.539233265   0.535001677
## 7909          Low 0.066028563   0.058565272
## 7910         High 0.311277512   0.305489123
## 7911          Low 0.238960514   0.248506696
## 7912          Low 0.081749650   0.035898929
## 7913          Low 0.553382243   0.476800459
## 7914         High 0.378878183   0.373551467
## 7915         High 0.539233265   0.535001677
## 7916          Low 0.066028563   0.058565272
## 7917          Low 0.232672079   0.226346863
## 7918         High 0.474776811   0.485933476
## 7919          Low 0.084893867   0.077559415
## 7920          Low 0.547093808   0.542915903
## 7921          Low 0.547093808   0.542915903
## 7922          Low 0.232672079   0.226346863
## 7923          Low 0.238960514   0.248506696
## 7924          Low 0.710593107   0.504547736
## 7925          Low 0.867803972   0.699301009
## 7926          Low 0.138345561   0.131376152
## 7927          Low 0.474776811   0.485933476
## 7928         High 0.710593107   0.723360256
## 7929          Low 0.581680199   0.577738498
## 7930         High 0.547093808   0.542915903
## 7931          Low 0.232672079   0.226346863
## 7932         High 0.317565946   0.327648956
## 7933          Low 1.025014836   0.894054282
## 7934         High 0.232672079   0.226346863
## 7935          Low 0.710593107   0.723360256
## 7936          Low 0.227955754   0.237426780
## 7937          Low 0.044019042   0.036405440
## 7938         High 0.389882944   0.384631383
## 7939          Low 0.836361799   0.784410595
## 7940          Low 0.899246145   0.852773679
## 7941          Low 0.710593107   0.723360256
## 7942          Low 0.867803972   0.881644776
## 7943          Low 0.441762529   0.436865275
## 7944          Low 0.374161857   0.368802931
## 7945          Low 0.396171378   0.406791216
## 7946         High 0.828501256   0.842073646
## 7947         High 0.317565946   0.327648956
## 7948         High 0.474776811   0.485933476
## 7949         High 0.025153738   0.017411297
## 7950         High 0.295556425   0.289660671
## 7951          Low 0.168750142   0.161988378
## 7952          Low 0.369980048   0.380421015
## 7953          Low 0.270717109   0.280480169
## 7954         High 0.663429848   0.675874900
## 7955          Low 0.232672079   0.226346863
## 7956         High 0.307190029   0.301373726
## 7957         High 0.624315785   0.636493711
## 7958         High 0.160355082   0.049558883
## 7959          Low 0.154066647   0.147204604
## 7960         High 0.154066647   0.147204604
## 7961         High 0.527442450   0.523130338
## 7962          Low 0.474776811   0.485933476
## 7963         High 0.311277512   0.305489123
## 7964          Low 0.003144217   0.011079916
## 7965         High 0.238960514   0.079712084
## 7966         High 0.553382243   0.309794462
## 7967         High 0.789198540   0.802502516
## 7968          Low 0.899246145   0.913301680
## 7969         High 0.081749650   0.090222176
## 7970          Low 0.710593107   0.723360256
## 7971         High 0.075461215   0.068062344
## 7972         High 0.160355082   0.169364436
## 7973          Low 0.468488376   0.463773643
## 7974          Low 0.012891291   0.005065105
## 7975          Low 0.177349576   0.186474993
## 7976          Low 0.836959200   0.850589353
## 7977          Low 0.450126147   0.445286011
## 7978          Low 0.238960514   0.248506696
## 7979          Low 0.180855379   0.174176286
## 7980          Low 0.547093808   0.542915903
## 7981         High 0.358991009   0.369356927
## 7982          Low 1.087899182   1.103243104
## 7983          Low 0.081749650   0.274465358
## 7984         High 0.396171378   0.115041189
## 7985          Low 0.559670678   0.555578665
## 7986         High 0.081749650   0.274465358
## 7987          Low 0.867803972   0.818584223
## 7988         High 0.075461215   0.068062344
## 7989          Low 0.358440771   0.352974479
## 7990         High 0.372589749   0.383048538
## 7991          Low 0.789198540   0.601924372
## 7992         High 0.836361799   0.660363017
## 7993          Low 0.867803972   0.699301009
## 7994         High 0.946409404   0.796677646
## 7995          Low 0.041755206   0.049954594
## 7996         High 0.159726238   0.152902846
## 7997          Low 0.679150935   0.613510799
## 7998         High 0.789198540   0.733142239
## 7999         High 1.018726402   0.320494496
## 8000         High 0.081749650   0.090222176
## 8001          Low 0.236602351   0.230303976
## 8002          Low 1.260831133   1.245825799
## 8003         High 0.317565946   0.327648956
## 8004          Low 0.553382243   0.565075736
## 8005          Low 0.468488376   0.463773643
## 8006          Low 0.081749650   0.090222176
## 8007         High 0.547093808   0.542915903
## 8008          Low 0.581680199   0.577738498
## 8009         High 0.441762529   0.436865275
## 8010         High 0.326998598   0.321317575
## 8011         High 0.326998598   0.321317575
## 8012          Low 0.154066647   0.147204604
## 8013         High 0.529800613   0.525504606
## 8014         High 0.389882944   0.384631383
## 8015         High 0.028297956   0.020576988
## 8016          Low 0.075461215   0.068062344
## 8017         High 0.441762529   0.436865275
## 8018          Low 0.374161857   0.368802931
## 8019          Low 0.311277512   0.305489123
## 8020          Low 0.374161857   0.368802931
## 8021         High 1.292273306   1.309012980
## 8022          Low 0.075461215   0.068062344
## 8023         High 0.389882944   0.384631383
## 8024         High 0.081749650   0.090222176
## 8025         High 0.025153738   0.017411297
## 8026         High 0.507791092   0.503344773
## 8027          Low 0.372589749   0.383048538
## 8028         High 0.081749650   0.090222176
## 8029         High 0.081749650   0.090222176
## 8030         High 0.106903388   0.099719248
## 8031          Low 0.003144217   0.011079916
## 8032         High 0.553382243   0.565075736
## 8033          Low 0.389882944   0.384631383
## 8034          Low 0.012891291   0.005065105
## 8035          Low 0.468488376   0.463773643
## 8036         High 0.452767290   0.447945191
## 8037          Low 0.264114252   0.258003767
## 8038          Low 0.176076168   0.185192888
## 8039          Low 0.031442173   0.039571130
## 8040         High 0.691727804   0.704366114
## 8041          Low 0.238960514   0.613035946
## 8042          Low 0.726314194   0.664779155
## 8043          Low 0.531372722   0.527087451
## 8044          Low 0.122624474   0.115547700
## 8045          Low 0.389882944   0.384631383
## 8046          Low 0.286123773   0.295992052
## 8047         High 0.044019042   0.036405440
## 8048          Low 0.032228227   0.024534101
## 8049         High 0.216950993   0.210518411
## 8050         High 1.182225701   1.198213816
## 8051         High 0.000000000   0.007914226
## 8052          Low 0.527442450   0.523130338
## 8053          Low 0.176076168   0.185192888
## 8054          Low 0.290840099   0.284912136
## 8055         High 0.238960514   0.248506696
## 8056         High 0.299235159   0.293364529
## 8057          Low 0.482008511   0.493214564
## 8058          Low 0.059740129   0.052233892
## 8059         High 0.411892465   0.422619668
## 8060         High 0.396171378   0.342638500
## 8061         High 0.867803972   0.881644776
## 8062          Low 0.320710164   0.314986195
## 8063         High 0.232672079   0.226346863
## 8064          Low 0.547093808   0.542915903
## 8065         High 0.567374010   0.563334606
## 8066         High 0.487699544   0.498944464
## 8067          Low 0.232672079   0.226346863
## 8068          Low 0.317565946   0.327648956
## 8069         High 0.474776811   0.485933476
## 8070          Low 0.036158499   0.028491214
## 8071         High 0.232672079   0.226346863
## 8072         High 0.160355082   0.169364436
## 8073         High 0.378878183   0.373551467
## 8074         High 0.389882944   0.384631383
## 8075         High 0.484209463   0.479602095
## 8076         High 0.018865304   0.026908368
## 8077          Low 0.396171378   0.406791216
## 8078          Low 0.828501256   0.842073646
## 8079         High 0.075461215   0.068062344
## 8080          Low 0.333287033   0.343477408
## 8081          Low 0.311277512   0.305489123
## 8082         High 0.075461215   0.068062344
## 8083          Low 0.238960514   0.248506696
## 8084         High 0.396171378   0.406791216
## 8085          Low 0.468488376   0.463773643
## 8086          Low 0.899246145   0.913301680
## 8087          Low 0.232672079   0.226346863
## 8088          Low 0.389882944   0.384631383
## 8089          Low 0.474776811   0.485933476
## 8090         High 0.374161857   0.368802931
## 8091          Low 0.081749650   0.090222176
## 8092         High 0.441762529   0.436865275
## 8093          Low 0.389882944   0.384631383
## 8094         High 0.396171378   0.406791216
## 8095         High 0.452767290   0.447945191
## 8096         High 0.521940070   0.442611003
## 8097         High 1.087899182   1.057847103
## 8098          Low 0.007860543   0.000000000
## 8099          Low 0.547093808   0.542915903
## 8100          Low 0.075461215   0.068062344
## 8101          Low 0.867803972   0.818584223
## 8102          Low 0.899246145   0.852773679
## 8103          Low 1.056457009   1.023673476
## 8104         High 0.899246145   0.852773679
## 8105          Low 1.056457009   1.023673476
## 8106          Low 0.468488376   0.463773643
## 8107          Low 0.232672079   0.226346863
## 8108          Low 0.160355082   0.169364436
## 8109          Low 0.663429848   0.675874900
## 8110         High 0.389882944   0.384631383
## 8111         High 0.238960514   0.248506696
## 8112         High 0.232672079   0.226346863
## 8113          Low 0.081749650   0.090222176
## 8114          Low 0.122624474   0.115547700
## 8115          Low 0.042446933   0.050651046
## 8116         High 0.122624474   0.115547700
## 8117          Low 0.264114252   0.258003767
## 8118         High 0.176076168   0.185192888
## 8119         High 0.389882944   0.384631383
## 8120          Low 0.358440771   0.352974479
## 8121          Low 0.547093808   0.542915903
## 8122         High 0.264114252   0.258003767
## 8123         High 0.176076168   0.185192888
## 8124         High 0.521940070   0.442611003
## 8125         High 1.087899182   1.057847103
## 8126         High 0.468488376   0.463773643
## 8127         High 0.004716326   0.003165690
## 8128         High 0.374161857   0.368802931
## 8129         High 0.075461215   0.068062344
## 8130         High 0.484209463   0.479602095
## 8131          Low 0.018865304   0.026908368
## 8132          Low 0.389882944   0.384631383
## 8133          Low 0.631987675   0.407171099
## 8134          Low 1.087113128   0.970980559
## 8135          Low 0.232672079   0.226346863
## 8136          Low 0.160355082   0.169364436
## 8137         High 0.275119013   0.269083684
## 8138          Low 0.581680199   0.577738498
## 8139         High 0.286123773   0.295992052
## 8140          Low 0.867803972   0.881644776
## 8141         High 0.012576869   0.004748536
## 8142         High 0.138345561   0.131376152
## 8143         High 0.000000000   0.007914226
## 8144          Low 0.160355082   0.169364436
## 8145          Low 0.396171378   0.406791216
## 8146         High 0.169787734   0.163033056
## 8147          Low 0.521940070   0.533418832
## 8148          Low 0.468488376   0.463773643
## 8149          Low 0.003144217   0.011079916
## 8150          Low 0.553382243   0.565075736
## 8151          Low 0.154066647   0.147204604
## 8152          Low 0.449623072   0.444779501
## 8153          Low 0.143061887   0.151953139
## 8154         High 0.232672079   0.226346863
## 8155         High 0.396171378   0.406791216
## 8156         High 0.547093808   0.542915903
## 8157          Low 0.081749650   0.090222176
## 8158         High 0.232672079   0.226346863
## 8159         High 0.547093808   0.542915903
## 8160          Low 0.154066647   0.147204604
## 8161          Low 0.468488376   0.463773643
## 8162         High 0.075461215   0.068062344
## 8163          Low 0.333287033   0.343477408
## 8164         High 0.547093808   0.542915903
## 8165          Low 0.075461215   0.068062344
## 8166         High 0.081749650   0.090222176
## 8167          Low 0.075461215   0.068062344
## 8168         High 0.378878183   0.373551467
## 8169         High 0.328570707   0.322900421
## 8170         High 0.521940070   0.533418832
## 8171          Low 0.547093808   0.542915903
## 8172          Low 0.507791092   0.503344773
## 8173          Low 0.710593107   0.504547736
## 8174         High 1.276552220   1.273937130
## 8175         High 0.243676840   0.073871385
## 8176         High 0.785268268   0.597065038
## 8177          Low 0.468488376   0.463773643
## 8178          Low 0.154066647   0.147204604
## 8179          Low 0.547093808   0.542915903
## 8180         High 0.070650562   0.079047289
## 8181         High 0.468488376   0.463773643
## 8182         High 0.631987675   0.562242443
## 8183         High 1.103620269   1.074941832
## 8184         High 0.232672079   0.226346863
## 8185         High 0.081749650   0.090222176
## 8186         High 0.441762529   0.436865275
## 8187         High 0.311277512   0.305489123
## 8188         High 0.317565946   0.327648956
## 8189          Low 0.389882944   0.384631383
## 8190          Low 0.396171378   0.406791216
## 8191          Low 0.232672079   0.226346863
## 8192          Low 0.081749650   0.090222176
## 8193          Low 0.527442450   0.523130338
## 8194          Low 0.468488376   0.463773643
## 8195          Low 0.081749650   0.090222176
## 8196         High 0.232672079   0.226346863
## 8197          Low 0.232672079   0.226346863
## 8198         High 0.081749650   0.090222176
## 8199          Low 0.437046203   0.432116739
## 8200         High 0.547093808   0.542915903
## 8201          Low 0.581680199   0.577738498
## 8202          Low 0.232672079   0.226346863
## 8203          Low 0.003144217   0.011079916
## 8204         High 0.581680199   0.577738498
## 8205          Low 0.647708762   0.660046448
## 8206         High 0.122624474   0.115547700
## 8207          Low 0.122624474   0.115547700
## 8208         High 0.578535981   0.574572807
## 8209          Low 0.547093808   0.542915903
## 8210          Low 0.232672079   0.226346863
## 8211          Low 0.122624474   0.115547700
## 8212          Low 0.160983925   0.154169122
## 8213         High 0.547093808   0.542915903
## 8214          Low 0.232672079   0.226346863
## 8215         High 0.232672079   0.226346863
## 8216          Low 0.075461215   0.068062344
## 8217          Low 0.679150935   0.465609744
## 8218          Low 0.836361799   0.660363017
## 8219         High 0.572247547   0.568241426
## 8220         High 0.899246145   0.738254829
## 8221         High 1.056457009   0.933008103
## 8222          Low 0.358440771   0.352974479
## 8223          Low 0.075461215   0.068062344
## 8224          Low 0.474776811   0.485933476
## 8225         High 0.389882944   0.384631383
## 8226          Low 0.081749650   0.090222176
## 8227         High 0.460627833   0.455859417
## 8228          Low 0.389882944   0.384631383
## 8229         High 0.238960514   0.248506696
## 8230          Low 0.468488376   0.463773643
## 8231          Low 0.311277512   0.305489123
## 8232          Low 0.025153738   0.017411297
## 8233          Low 0.547093808   0.542915903
## 8234         High 0.264114252   0.258003767
## 8235          Low 0.168215625   0.177278662
## 8236         High 0.389882944   0.384631383
## 8237          Low 0.358440771   0.352974479
## 8238         High 0.081749650   0.090222176
## 8239          Low 0.232672079   0.226346863
## 8240         High 0.154066647   0.147204604
## 8241          Low 0.081749650   0.090222176
## 8242          Low 0.350580228   0.345060253
## 8243         High 0.334859141   0.329231801
## 8244         High 0.852082885   0.865816324
## 8245         High 1.025014836   1.039929296
## 8246          Low 1.025014836   1.039929296
## 8247         High 0.663429848   0.675874900
## 8248         High 0.238960514   0.176328955
## 8249         High 0.867803972   0.841551307
## 8250          Low 0.081749650   0.090222176
## 8251          Low 1.025014836   1.039929296
## 8252         High 0.232672079   0.226346863
## 8253          Low 0.160355082   0.169364436
## 8254          Low 0.468488376   0.463773643
## 8255          Low 1.292273306   1.290572833
## 8256         High 0.317565946   0.327648956
## 8257          Low 0.631987675   0.644217996
## 8258          Low 0.216950993   0.210518411
## 8259          Low 0.547093808   0.542915903
## 8260         High 0.232672079   0.226346863
## 8261          Low 0.075461215   0.068062344
## 8262         High 0.081749650   0.090222176
## 8263          Low 0.389882944   0.384631383
## 8264         High 0.154066647   0.147204604
## 8265          Low 0.474776811   0.211309834
## 8266         High 0.789198540   0.601117121
## 8267          Low 0.003144217   0.011079916
## 8268         High 0.553382243   0.565075736
## 8269          Low 0.581680199   0.577738498
## 8270          Low 0.378878183   0.373551467
## 8271          Low 0.389882944   0.384631383
## 8272          Low 0.474776811   0.485933476
## 8273          Low 0.232672079   0.226346863
## 8274         High 0.020437412   0.012662762
## 8275          Low 0.474776811   0.485933476
## 8276         High 0.710593107   0.723360256
## 8277          Low 0.578535981   0.574572807
## 8278         High 0.081749650   0.090222176
## 8279          Low 1.458916822   0.970838103
## 8280         High 0.232672079   0.226346863
## 8281          Low 0.232672079   0.226346863
## 8282          Low 0.474776811   0.211309834
## 8283          Low 0.710593107   0.503661342
## 8284         High 0.081749650   0.090222176
## 8285          Low 0.232672079   0.226346863
## 8286          Low 0.160355082   0.169364436
## 8287          Low 0.468488376   0.463773643
## 8288         High 0.081749650   0.090222176
## 8289          Low 0.427613551   0.438448120
## 8290         High 0.553382243   0.508948045
## 8291          Low 1.103620269   1.091007710
## 8292         High 0.232672079   0.226346863
## 8293         High 0.311277512   0.305489123
## 8294         High 0.232672079   0.226346863
## 8295         High 0.160355082   0.169364436
## 8296         High 0.081749650   0.090222176
## 8297          Low 0.946409404   0.924698165
## 8298         High 1.087899182   1.074372007
## 8299          Low 0.168750142   0.161988378
## 8300          Low 0.369980048   0.380421015
## 8301          Low 0.547093808   0.542915903
## 8302         High 0.232672079   0.226346863
## 8303          Low 0.160355082   0.169364436
## 8304         High 0.271974796   0.265917993
## 8305          Low 0.081749650   0.090222176
## 8306          Low 0.789198540   0.802502516
## 8307          Low 0.899246145   0.913301680
## 8308          Low 0.773477453   0.741768746
## 8309          Low 0.232672079   0.226346863
## 8310          Low 0.342719685   0.337146027
## 8311          Low 0.018865304   0.026908368
## 8312          Low 0.389882944   0.384631383
## 8313         High 0.040245981   0.048435063
## 8314         High 0.614694480   0.626806699
## 8315          Low 0.273546904   0.267500839
## 8316          Low 0.389882944   0.384631383
## 8317          Low 0.396171378   0.406791216
## 8318          Low 0.484209463   0.479602095
## 8319         High 0.018865304   0.026908368
## 8320         High 0.081749650   0.090222176
## 8321         High 0.468488376   0.463773643
## 8322         High 0.389882944   0.384631383
## 8323          Low 0.168750142   0.161988378
## 8324         High 0.369980048   0.380421015
## 8325         High 0.946409404   0.796012851
## 8326          Low 0.899246145   0.874806885
## 8327         High 1.056457009   1.041116430
## 8328         High 0.084893867   0.077559415
## 8329          Low 0.742035280   0.708513168
## 8330          Low 0.547093808   0.542915903
## 8331         High 0.232672079   0.226346863
## 8332         High 0.474776811   0.485933476
## 8333         High 0.710593107   0.723360256
## 8334         High 0.867803972   0.881644776
## 8335         High 0.452767290   0.447945191
## 8336          Low 0.295556425   0.289660671
## 8337          Low 0.216950993   0.210518411
## 8338          Low 0.299235159   0.293364529
## 8339          Low 0.482008511   0.493214564
## 8340         High 0.081749650   0.090222176
## 8341         High 0.631987675   0.644217996
## 8342         High 0.631987675   0.592094904
## 8343         High 1.103620269   1.091007710
## 8344          Low 0.075461215   0.068062344
## 8345          Low 0.553382243   0.565075736
## 8346          Low 0.867803972   0.881644776
## 8347          Low 0.232672079   0.226346863
## 8348         High 0.160355082   0.169364436
## 8349         High 0.081749650   0.090222176
## 8350          Low 0.946409404   0.924698165
## 8351          Low 1.087899182   1.074372007
## 8352         High 0.468488376   0.463773643
## 8353         High 0.358440771   0.352974479
## 8354         High 0.372589749   0.383048538
## 8355          Low 0.075461215   0.068062344
## 8356          Low 0.232672079   0.226346863
## 8357          Low 0.168750142   0.161988378
## 8358          Low 0.369980048   0.380421015
## 8359          Low 0.232672079   0.226346863
## 8360          Low 0.160355082   0.169364436
## 8361         High 0.380450292   0.375134312
## 8362          Low 0.251537383   0.261169458
## 8363          Low 0.311277512   0.305489123
## 8364          Low 0.389882944   0.384631383
## 8365          Low 0.238960514   0.248506696
## 8366         High 0.081749650   0.090222176
## 8367          Low 0.025153738   0.017411297
## 8368         High 0.389882944   0.384631383
## 8369          Low 0.081749650   0.090222176
## 8370         High 0.232672079   0.226346863
## 8371          Low 0.468488376   0.463773643
## 8372         High 0.547093808   0.542915903
## 8373         High 0.389882944   0.384631383
## 8374         High 0.631987675   0.644217996
## 8375         High 0.789198540   0.802502516
## 8376         High 0.710593107   0.675241762
## 8377         High 0.867803972   0.841551307
## 8378         High 0.468488376   0.463773643
## 8379         High 0.311277512   0.305489123
## 8380          Low 0.003144217   0.011079916
## 8381         High 0.553382243   0.565075736
## 8382          Low 0.389882944   0.384631383
## 8383          Low 0.160355082   0.169364436
## 8384         High 0.464715315   0.459974815
## 8385         High 0.232672079   0.226346863
## 8386         High 0.097470736   0.106050628
## 8387         High 0.001257687   0.075121833
## 8388         High 0.469117220   0.419802204
## 8389         High 0.757756367   0.562131644
## 8390         High 0.993572664   0.854483152
## 8391         High 0.136773452   0.129793306
## 8392         High 0.160355082   0.169364436
## 8393          Low 0.154066647   0.147204604
## 8394         High 0.081749650   0.090222176
## 8395          Low 0.427613551   0.438448120
## 8396          Low 0.232672079   0.226346863
## 8397          Low 0.160355082   0.169364436
## 8398         High 0.075461215   0.068062344
## 8399          Low 0.553382243   0.565075736
## 8400         High 0.867803972   0.881644776
## 8401          Low 0.378878183   0.373551467
## 8402         High 0.081749650   0.090222176
## 8403         High 0.581680199   0.577738498
## 8404         High 0.474776811   0.485933476
## 8405          Low 0.946409404   0.924698165
## 8406          Low 1.087899182   1.074372007
## 8407         High 0.547093808   0.542915903
## 8408          Low 0.232672079   0.226346863
## 8409         High 0.075461215   0.068062344
## 8410         High 0.553382243   0.565075736
## 8411         High 0.694872021   0.658621887
## 8412          Low 0.742035280   0.708513168
## 8413          Low 0.389882944   0.384631383
## 8414          Low 0.238960514   0.248506696
## 8415         High 0.295556425   0.289660671
## 8416          Low 0.421325117   0.416288287
## 8417         High 0.389882944   0.384631383
## 8418          Low 0.084893867   0.077559415
## 8419         High 0.169787734   0.163033056
## 8420          Low 0.144633995   0.153535984
## 8421         High 0.474776811   0.211309834
## 8422          Low 0.757756367   0.562131644
## 8423         High 0.003144217   0.011079916
## 8424         High 0.553382243   0.565075736
## 8425         High 0.499930549   0.007344402
## 8426          Low 0.380450292   0.375134312
## 8427         High 0.468488376   0.463773643
## 8428          Low 0.081749650   0.090222176
## 8429         High 0.553382243   0.565075736
## 8430          Low 0.551024080   0.546873016
## 8431         High 0.389882944   0.384631383
## 8432          Low 0.081749650   0.090222176
## 8433          Low 0.059740129   0.052233892
## 8434          Low 0.468488376   0.463773643
## 8435          Low 0.232672079   0.226346863
## 8436          Low 0.075461215   0.156274307
## 8437          Low 0.553382243   0.508948045
## 8438          Low 0.468488376   0.463773643
## 8439          Low 0.081749650   0.090222176
## 8440          Low 0.232672079   0.226346863
## 8441          Low 0.160355082   0.169364436
## 8442          Low 0.631987675   0.592094904
## 8443         High 1.025014836   1.007860852
## 8444          Low 0.389882944   0.384631383
## 8445         High 0.389882944   0.384631383
## 8446          Low 0.663429848   0.625350481
## 8447          Low 0.232672079   0.226346863
## 8448         High 0.160355082   0.169364436
## 8449          Low 0.547093808   0.542915903
## 8450         High 0.232672079   0.226346863
## 8451          Low 0.084893867   0.077559415
## 8452         High 0.396171378   0.406791216
## 8453          Low 0.378878183   0.373551467
## 8454         High 0.468488376   0.463773643
## 8455          Low 0.075461215   0.068062344
## 8456          Low 0.547093808   0.542915903
## 8457          Low 0.452767290   0.447945191
## 8458         High 0.232672079   0.226346863
## 8459          Low 0.378878183   0.373551467
## 8460         High 1.245110047   1.240681552
## 8461          Low 0.238960514   0.248506696
## 8462          Low 0.631987675   0.592094904
## 8463          Low 1.103620269   1.091007710
## 8464          Low 0.154066647   0.147204604
## 8465          Low 0.468488376   0.463773643
## 8466          Low 0.000000000   0.007914226
## 8467          Low 0.553382243   0.308765613
## 8468          Low 1.025014836   0.893468630
## 8469         High 0.946409404   0.924698165
## 8470          Low 1.087899182   1.074372007
## 8471          Low 0.273546904   0.267500839
## 8472          Low 0.081749650   0.090222176
## 8473         High 0.081749650   0.010035239
## 8474         High 0.389882944   0.384631383
## 8475          Low 0.081749650   0.090222176
## 8476          Low 0.317565946   0.016414105
## 8477         High 0.710593107   0.503661342
## 8478          Low 0.311277512   0.305489123
## 8479         High 0.075461215   0.068062344
## 8480         High 0.295556425   0.289660671
## 8481         High 0.028297956   0.020576988
## 8482          Low 0.081749650   0.090222176
## 8483         High 0.468488376   0.463773643
## 8484         High 0.232672079   0.226346863
## 8485         High 0.160355082   0.169364436
## 8486          Low 0.025153738   0.017411297
## 8487          Low 0.081749650   0.090222176
## 8488          Low 0.631987675   0.644217996
## 8489         High 0.232672079   0.226346863
## 8490         High 0.160355082   0.169364436
## 8491          Low 0.710593107   0.675241762
## 8492         High 1.103620269   1.091007710
## 8493          Low 0.389882944   0.384631383
## 8494          Low 0.484209463   0.479602095
## 8495          Low 0.018865304   0.026908368
## 8496          Low 0.201229907   0.194689959
## 8497          Low 0.378878183   0.373551467
## 8498          Low 0.631987675   0.592094904
## 8499         High 0.405604030   0.400459835
## 8500          Low 0.050307477   0.058565272
## 8501          Low 0.084893867   0.077559415
## 8502          Low 0.468488376   0.463773643
## 8503         High 0.081749650   0.090222176
## 8504          Low 0.396171378   0.406791216
## 8505          Low 0.631987675   0.644217996
## 8506          Low 0.468488376   0.463773643
## 8507          Low 0.081749650   0.090222176
## 8508         High 0.867803972   0.698572900
## 8509          Low 1.103620269   0.990924408
## 8510         High 0.468488376   0.463773643
## 8511         High 0.396171378   0.406791216
## 8512         High 0.527442450   0.523130338
## 8513          Low 0.173718005   0.166990169
## 8514         High 0.527442450   0.523130338
## 8515          Low 0.527442450   0.523130338
## 8516         High 0.527442450   0.523130338
## 8517         High 0.173718005   0.166990169
## 8518          Low 0.342719685   0.337146027
## 8519         High 0.581680199   0.577738498
## 8520          Low 0.937684201   0.952002245
## 8521         High 0.378878183   0.373551467
## 8522          Low 0.946409404   0.924698165
## 8523          Low 1.087899182   1.074372007
## 8524         High 0.581680199   0.577738498
## 8525          Low 0.378878183   0.373551467
## 8526          Low 0.468488376   0.463773643
## 8527          Low 0.081749650   0.090222176
## 8528         High 0.075461215   0.068062344
## 8529          Low 0.160355082   0.169364436
## 8530         High 0.378878183   0.373551467
## 8531          Low 0.389882944   0.384631383
## 8532          Low 0.084893867   0.077559415
## 8533          Low 0.581680199   0.577738498
## 8534         High 0.317565946   0.016414105
## 8535         High 0.631987675   0.406221392
## 8536         High 0.378878183   0.373551467
## 8537          Low 0.558098569   0.553995820
## 8538         High 0.179220386   0.188358579
## 8539          Low 0.468488376   0.463773643
## 8540         High 0.168750142   0.161988378
## 8541          Low 0.369980048   0.380421015
## 8542          Low 0.081749650   0.015875937
## 8543          Low 1.135062442   1.150728460
## 8544          Low 1.135062442   1.124263288
## 8545          Low 0.216950993   0.210518411
## 8546          Low 0.290022603   0.284089056
## 8547          Low 0.389882944   0.384631383
## 8548          Low 0.081749650   0.090222176
## 8549         High 0.468488376   0.463773643
## 8550          Low 0.081749650   0.090222176
## 8551         High 0.452767290   0.447945191
## 8552          Low 0.378878183   0.373551467
## 8553          Low 0.389882944   0.384631383
## 8554          Low 0.003144217   0.011079916
## 8555         High 0.580532559   0.576583021
## 8556          Low 0.059740129   0.052233892
## 8557          Low 0.411892465   0.422619668
## 8558          Low 0.059740129   0.052233892
## 8559         High 0.317565946   0.259491642
## 8560          Low 0.366301314   0.360888705
## 8561         High 0.238960514   0.248506696
## 8562          Low 0.438618312   0.449528037
## 8563          Low 0.936976752   0.951289965
## 8564          Low 0.342719685   0.337146027
## 8565          Low 0.075461215   0.068062344
## 8566          Low 0.484209463   0.479602095
## 8567          Low 0.547093808   0.542915903
## 8568          Low 0.389882944   0.384631383
## 8569         High 0.238960514   0.248506696
## 8570         High 0.232672079   0.226346863
## 8571         High 0.081749650   0.090222176
## 8572         High 0.317565946   0.327648956
## 8573          Low 0.427613551   0.438448120
## 8574         High 0.075461215   0.068062344
## 8575          Low 0.484209463   0.479602095
## 8576          Low 0.018865304   0.026908368
## 8577          Low 0.946409404   0.924698165
## 8578          Low 1.087899182   1.074372007
## 8579         High 0.084893867   0.077559415
## 8580          Low 0.867803972   0.698572900
## 8581         High 1.025014836   0.893468630
## 8582          Low 0.389882944   0.384631383
## 8583         High 0.468488376   0.463773643
## 8584          Low 0.081749650   0.090222176
## 8585          Low 0.081749650   0.090222176
## 8586          Low 0.232672079   0.226346863
## 8587          Low 0.160355082   0.169364436
## 8588          Low 0.914967231   0.757043202
## 8589         High 0.647708762   0.660046448
## 8590          Low 1.056457009   1.041116430
## 8591          Low 0.171359842   0.164615901
## 8592          Low 0.342719685   0.337146027
## 8593          Low 0.530398015   0.526106087
## 8594          Low 0.459055724   0.470105024
## 8595         High 0.216950993   0.210518411
## 8596          Low 0.389882944   0.384631383
## 8597          Low 0.081749650   0.090222176
## 8598         High 0.333287033   0.035898929
## 8599          Low 0.474776811   0.211309834
## 8600         High 0.396171378   0.406791216
## 8601          Low 0.828501256   0.842073646
## 8602         High 0.547093808   0.542915903
## 8603          Low 0.468488376   0.463773643
## 8604          Low 0.081749650   0.090222176
## 8605         High 0.581680199   0.577738498
## 8606          Low 0.317628831   0.311883818
## 8607         High 0.389882944   0.384631383
## 8608         High 0.075461215   0.068062344
## 8609          Low 0.279835339   0.273832219
## 8610         High 0.203588070   0.212892679
## 8611          Low 0.081749650   0.090222176
## 8612         High 0.128912909   0.137707532
## 8613         High 0.238960514   0.248506696
## 8614         High 0.081749650   0.090222176
## 8615         High 0.396171378   0.406791216
## 8616         High 0.828501256   0.842073646
## 8617          Low 0.358440771   0.352974479
## 8618         High 0.372589749   0.383048538
## 8619         High 0.003144217   0.011079916
## 8620          Low 0.553382243   0.565075736
## 8621          Low 0.271974796   0.265917993
## 8622          Low 0.185508820   0.178861507
## 8623         High 0.014148978   0.022159833
## 8624         High 0.899246145   0.874806885
## 8625         High 1.103620269   1.091007710
## 8626         High 0.097470736   0.106050628
## 8627         High 0.075461215   0.068062344
## 8628         High 0.378878183   0.373551467
## 8629          Low 1.182225701   1.198213816
## 8630         High 0.427613551   0.438448120
## 8631          Low 0.899246145   0.913301680
## 8632         High 0.389882944   0.384631383
## 8633         High 0.160355082   0.169364436
## 8634         High 0.427613551   0.438448120
## 8635         High 0.993572664   1.008272392
## 8636          Low 0.154066647   0.147204604
## 8637          Low 0.427613551   0.438448120
## 8638         High 0.899246145   0.913301680
## 8639          Low 0.390668998   0.385422806
## 8640          Low 0.007860543   0.000000000
## 8641          Low 0.251537383   0.261169458
## 8642          Low 0.333287033   0.343477408
## 8643          Low 0.804919626   0.818330968
## 8644         High 0.396171378   0.406791216
## 8645         High 0.144633995   0.505845669
## 8646         High 1.229388960   1.146834661
## 8647         High 0.378878183   0.373551467
## 8648         High 0.084893867   0.077559415
## 8649          Low 0.081749650   0.485142054
## 8650         High 0.378878183   0.373551467
## 8651          Low 0.378878183   0.373551467
## 8652         High 0.044019042   0.036405440
## 8653         High 1.056457009   1.071586200
## 8654         High 0.317565946   0.327648956
## 8655          Low 0.631987675   0.644217996
## 8656         High 1.056457009   1.071586200
## 8657          Low 0.238960514   0.081041674
## 8658          Low 0.474776811   0.211309834
## 8659          Low 0.025153738   0.017411297
## 8660          Low 0.867803972   0.881644776
## 8661          Low 0.378878183   0.373551467
## 8662         High 1.056457009   1.071586200
## 8663          Low 0.389882944   0.384631383
## 8664         High 0.286123773   0.280163600
## 8665          Low 0.268830578   0.278580755
## 8666          Low 0.232672079   0.226346863
## 8667          Low 0.789198540   0.802502516
## 8668          Low 0.378878183   0.373551467
## 8669         High 0.389882944   0.384631383
## 8670          Low 0.084893867   0.077559415
## 8671         High 0.232672079   0.226346863
## 8672          Low 0.531372722   0.527087451
## 8673         High 0.264114252   0.258003767
## 8674         High 0.378878183   0.373551467
## 8675          Low 0.540805374   0.536584522
## 8676          Low 0.306561186   0.316569040
## 8677          Low 0.867803972   0.881644776
## 8678         High 0.378878183   0.373551467
## 8679         High 0.378878183   0.373551467
## 8680          Low 0.110047605   0.118713390
## 8681          Low 0.154066647   0.147204604
## 8682          Low 0.160355082   0.169364436
## 8683          Low 0.616266589   0.628389544
## 8684          Low 0.867803972   0.881644776
## 8685          Low 0.946409404   0.924698165
## 8686          Low 1.087899182   1.074372007
## 8687         High 0.452767290   0.447945191
## 8688          Low 0.113191822   0.121879080
## 8689         High 0.003144217   0.011079916
## 8690          Low 0.679150935   0.691703352
## 8691         High 0.757756367   0.770845612
## 8692          Low 0.159726238   0.152902846
## 8693          Low 0.232672079   0.356599195
## 8694          Low 0.553382243   0.508948045
## 8695         High 1.025014836   1.007860852
## 8696          Low 0.044019042   0.036405440
## 8697         High 0.924399883   0.320937693
## 8698          Low 0.168750142   0.161988378
## 8699         High 0.369980048   0.380421015
## 8700          Low 0.571068465   0.567054293
## 8701          Low 0.899246145   0.874806885
## 8702         High 1.103620269   1.091007710
## 8703          Low 0.521940070   0.475676639
## 8704         High 0.616266589   0.575459201
## 8705          Low 0.238960514   0.248506696
## 8706         High 0.232672079   0.322583852
## 8707         High 0.396171378   0.342638500
## 8708         High 0.044019042   0.036405440
## 8709         High 0.317565946   0.327648956
## 8710         High 0.421325117   0.416288287
## 8711          Low 0.389882944   0.384631383
## 8712         High 0.075461215   0.068062344
## 8713          Low 0.631987675   0.959995613
## 8714          Low 0.773477453   1.007829195
## 8715          Low 0.468488376   0.463773643
## 8716         High 0.422897225   0.417871133
## 8717         High 1.339436565   1.356498336
## 8718         High 0.547093808   0.542915903
## 8719          Low 0.075461215   0.068062344
## 8720          Low 0.317565946   0.327648956
## 8721          Low 0.663429848   0.675874900
## 8722          Low 0.171359842   0.164615901
## 8723          Low 0.867803972   0.881644776
## 8724         High 0.085679921   0.094179289
## 8725          Low 0.578535981   0.590401259
## 8726         High 0.358440771   0.352974479
## 8727          Low 0.468488376   0.463773643
## 8728         High 0.389882944   0.384631383
## 8729          Low 0.075461215   0.068062344
## 8730         High 0.571068465   0.567054293
## 8731          Low 0.317565946   0.327648956
## 8732         High 0.410320356   0.405208371
## 8733          Low 0.003144217   0.011079916
## 8734          Low 0.571068465   0.567054293
## 8735          Low 0.571068465   0.567054293
## 8736          Low 0.075461215   0.068062344
## 8737         High 0.097470736   0.106050628
## 8738          Low 0.571068465   0.567054293
## 8739         High 0.571068465   0.567054293
## 8740         High 0.571068465   0.567054293
## 8741          Low 0.468488376   0.463773643
## 8742          Low 0.571068465   0.567054293
## 8743          Low 0.571068465   0.567054293
## 8744          Low 0.571068465   0.567054293
## 8745          Low 0.397743487   0.392545609
## 8746         High 0.389882944   0.384631383
## 8747         High 0.333287033   0.343477408
## 8748         High 0.081749650   0.090222176
## 8749          Low 0.710593107   0.723360256
## 8750          Low 0.631987675   0.406221392
## 8751          Low 0.789198540   0.601117121
## 8752          Low 0.567531221   0.563492891
## 8753         High 0.048735368   0.056982427
## 8754          Low 0.899246145   0.874806885
## 8755          Low 1.103620269   1.091007710
## 8756          Low 0.349008119   0.055399582
## 8757         High 0.122624474   0.115547700
## 8758          Low 1.182225701   1.174154569
## 8759         High 0.410320356   0.405208371
## 8760         High 0.410320356   0.405208371
## 8761          Low 0.410320356   0.405208371
## 8762          Low 0.468488376   0.463773643
## 8763          Low 0.468488376   0.463773643
## 8764          Low 0.396171378   0.406791216
## 8765          Low 0.317565946   0.327648956
## 8766          Low 0.422897225   0.417871133
## 8767         High 0.710593107   0.723360256
## 8768          Low 0.710593107   0.675241762
## 8769          Low 0.867803972   0.881644776
## 8770          Low 0.547093808   0.542915903
## 8771          Low 0.003144217   0.011079916
## 8772         High 0.631987675   0.406221392
## 8773         High 0.789198540   0.601117121
## 8774         High 0.547093808   0.542915903
## 8775         High 0.081749650   0.090222176
## 8776          Low 0.710593107   0.723360256
## 8777         High 0.044019042   0.036405440
## 8778          Low 1.339436565   1.356498336
## 8779          Low 0.468488376   0.463773643
## 8780         High 0.378878183   0.373551467
## 8781          Low 0.081749650   0.090222176
## 8782         High 0.271974796   0.265917993
## 8783          Low 0.081749650   0.090222176
## 8784          Low 1.418041998   1.435640596
## 8785          Low 0.191797255   0.201021340
## 8786         High 0.506218984   0.517590380
## 8787          Low 0.081749650   0.090222176
## 8788          Low 0.710593107   0.723360256
## 8789          Low 0.499836223   0.495335577
## 8790          Low 0.057067544   0.065371507
## 8791          Low 0.663429848   0.675874900
## 8792         High 0.452767290   0.447945191
## 8793         High 0.113191822   0.121879080
## 8794          Low 0.571068465   0.567054293
## 8795          Low 0.789198540   0.758404449
## 8796         High 0.484209463   0.479602095
## 8797         High 0.106903388   0.099719248
## 8798         High 0.547093808   0.542915903
## 8799         High 0.389882944   0.384631383
## 8800          Low 0.663429848   0.675874900
## 8801         High 1.135062442   0.954613940
## 8802          Low 0.663429848   0.675874900
## 8803          Low 0.571068465   0.567054293
## 8804          Low 0.121052366   0.129793306
## 8805          Low 0.591112850   0.587235569
## 8806          Low 0.553382243   0.508948045
## 8807         High 0.867803972   0.881644776
## 8808          Low 0.393656005   0.388430212
## 8809          Low 0.551024080   0.546873016
## 8810          Low 0.468488376   0.463773643
## 8811          Low 0.154066647   0.147204604
## 8812         High 0.571068465   0.567054293
## 8813         High 0.571068465   0.567054293
## 8814         High 0.571068465   0.567054293
## 8815         High 0.474776811   0.485933476
## 8816          Low 0.396171378   0.342638500
## 8817          Low 0.553382243   0.508948045
## 8818         High 0.396171378   0.113869884
## 8819         High 0.553382243   0.308765613
## 8820          Low 0.396171378   0.342638500
## 8821         High 0.553382243   0.508948045
## 8822          Low 0.571068465   0.567054293
## 8823         High 0.571068465   0.567054293
## 8824          Low 0.343096991   0.048071009
## 8825         High 0.631924791   0.406142250
## 8826         High 0.571068465   0.567054293
## 8827          Low 0.318226232   0.017237184
## 8828          Low 0.603343856   0.370702346
## 8829          Low 0.571068465   0.567054293
## 8830         High 0.571068465   0.567054293
## 8831          Low 0.154066647   0.147204604
## 8832         High 1.182225701   1.174154569
## 8833         High 0.380450292   0.390962764
## 8834          Low 0.616266589   0.628389544
## 8835          Low 0.930688318   0.944958584
## 8836          Low 0.396171378   0.406791216
## 8837          Low 0.485781571   0.481184941
## 8838          Low 0.663429848   0.675874900
## 8839         High 0.144633995   0.197982278
## 8840          Low 0.238960514   0.081041674
## 8841          Low 0.232672079   1.371171311
## 8842          Low 0.571068465   0.567054293
## 8843          Low 0.571068465   0.567054293
## 8844          Low 0.571068465   0.567054293
## 8845          Low 0.160355082   0.169364436
## 8846          Low 0.553382243   0.565075736
## 8847          Low 0.474776811   0.485933476
## 8848          Low 0.122624474   0.115547700
## 8849          Low 0.389882944   0.384631383
## 8850          Low 0.122624474   0.115547700
## 8851         High 0.547093808   0.542915903
## 8852         High 0.867803972   0.881644776
## 8853          Low 0.443334638   0.828334550
## 8854          Low 0.547093808   0.542915903
## 8855          Low 1.205807331   1.199100209
## 8856          Low 0.663429848   0.675874900
## 8857         High 0.221667319   0.215266947
## 8858          Low 0.003144217   0.011079916
## 8859          Low 0.238960514   0.248506696
## 8860          Low 0.299801119   0.293934353
## 8861         High 0.836361799   0.808295729
## 8862         High 0.506218984   0.501761928
## 8863          Low 0.663429848   0.675874900
## 8864          Low 0.018865304   0.353892530
## 8865          Low 0.364729206   0.375134312
## 8866          Low 0.075461215   0.068062344
## 8867          Low 0.452767290   0.447945191
## 8868          Low 0.232672079   0.226346863
## 8869          Low 0.075461215   0.156274307
## 8870          Low 0.317565946   0.259491642
## 8871          Low 0.663429848   0.675874900
## 8872          Low 0.468488376   0.463773643
## 8873         High 0.317565946   0.327648956
## 8874          Low 0.468488376   0.463773643
## 8875         High 0.317565946   0.327648956
## 8876         High 0.136773452   0.129793306
## 8877         High 0.326998598   0.321317575
## 8878          Low 0.397743487   0.392545609
## 8879          Low 0.468488376   0.463773643
## 8880          Low 0.396171378   0.113869884
## 8881          Low 0.710593107   0.503661342
## 8882          Low 0.185508820   0.178861507
## 8883         High 0.090396247   0.098927825
## 8884         High 0.468488376   0.463773643
## 8885          Low 0.378878183   0.373551467
## 8886          Low 0.946409404   0.796012851
## 8887          Low 0.553382243   0.308765613
## 8888          Low 0.867803972   0.698572900
## 8889         High 0.389882944   0.384631383
## 8890          Low 0.544892856   0.540699920
## 8891          Low 0.286123773   0.280163600
## 8892          Low 0.268830578   0.278580755
## 8893         High 0.899246145   0.874806885
## 8894          Low 0.567531221   0.563492891
## 8895         High 0.048735368   0.056982427
## 8896         High 0.567531221   0.563492891
## 8897         High 0.048735368   0.056982427
## 8898          Low 0.867803972   0.881644776
## 8899          Low 0.396171378   0.342638500
## 8900          Low 0.867803972   0.698572900
## 8901          Low 0.663429848   0.675874900
## 8902          Low 0.548665917   0.544498748
## 8903         High 0.410320356   0.405208371
## 8904          Low 1.276552220   1.293184528
## 8905          Low 1.276552220   1.293184528
## 8906          Low 0.663429848   0.675874900
## 8907         High 0.410320356   0.405208371
## 8908         High 0.154066647   0.147204604
## 8909          Low 0.154066647   0.147204604
## 8910          Low 0.378878183   0.373551467
## 8911          Low 0.547093808   0.542915903
## 8912          Low 0.867803972   0.881644776
## 8913          Low 0.396171378   0.342638500
## 8914          Low 0.028297956   0.412362831
## 8915         High 0.899246145   0.913301680
## 8916          Low 0.081749650   0.090222176
## 8917          Low 0.789198540   0.802502516
## 8918          Low 0.389882944   0.384631383
## 8919          Low 0.499930549   0.452392986
## 8920          Low 0.875664515   0.849861244
## 8921         High 0.095898627   0.104467783
## 8922          Low 0.804919626   0.818330968
## 8923         High 0.663429848   0.675874900
## 8924          Low 0.663429848   0.675874900
## 8925         High 0.663429848   0.675874900
## 8926          Low 0.389882944   0.384631383
## 8927          Low 0.081749650   0.090222176
## 8928          Low 0.396171378   0.406791216
## 8929         High 0.081749650   0.090222176
## 8930          Low 1.182225701   1.198213816
## 8931         High 1.229388960   1.224045849
## 8932          Low 0.490497897   0.230810487
## 8933          Low 0.867803972   0.698572900
## 8934          Low 0.742035280   0.708513168
## 8935          Low 0.389882944   0.384631383
## 8936          Low 0.631987675   0.406221392
## 8937         High 0.372196722   0.366824375
## 8938          Low 0.180792494   0.189941424
## 8939         High 0.081749650   0.090222176
## 8940          Low 0.488296945   0.483717493
## 8941         High 0.064142033   0.056665858
## 8942          Low 0.207518341   0.216849792
## 8943          Low 0.075461215   0.470833133
## 8944          Low 0.317565946   0.016414105
## 8945          Low 0.185508820   0.178861507
## 8946          Low 0.090396247   0.098927825
## 8947         High 0.374161857   0.368802931
## 8948          Low 0.301844860   0.311820504
## 8949         High 0.221667319   0.215266947
## 8950         High 0.081749650   0.090222176
## 8951          Low 1.260831133   1.277356076
## 8952          Low 0.238960514   0.640150084
## 8953          Low 0.081749650   0.090222176
## 8954          Low 0.090003220   0.082703662
## 8955         High 1.295417523   1.312178670
## 8956         High 0.207518341   0.216849792
## 8957         High 0.410320356   0.405208371
## 8958          Low 1.339436565   1.312036214
## 8959         High 1.418041998   1.435640596
## 8960         High 0.468488376   0.463773643
## 8961         High 1.380311390   0.444241334
## 8962         High 0.349008119   0.359305860
## 8963         High 0.474776811   0.211309834
## 8964          Low 0.789198540   0.601117121
## 8965         High 0.121052366   0.113964854
## 8966         High 0.233929766   0.243441592
## 8967         High 0.671290391   0.633676247
## 8968         High 0.160355082   0.178481625
## 8969          Low 0.474776811   0.211309834
## 8970          Low 0.232672079   0.226346863
## 8971         High 0.121052366   0.113964854
## 8972          Low 0.233929766   0.243441592
## 8973         High 0.003144217   0.004748536
## 8974         High 0.974707360   0.893231203
## 8975         High 0.238960514   0.081041674
## 8976          Low 0.474776811   0.211309834
## 8977          Low 0.168750142   0.161988378
## 8978          Low 0.369980048   0.380421015
## 8979         High 0.396171378   0.342638500
## 8980          Low 0.421325117   0.416288287
## 8981          Low 0.279835339   0.273832219
## 8982          Low 0.867803972   0.841551307
## 8983          Low 0.867803972   0.841551307
## 8984          Low 0.704304673   0.150718520
## 8985         High 0.426355864   0.421353392
## 8986         High 0.499836223   0.495335577
## 8987         High 0.057067544   0.065371507
## 8988         High 0.372196722   0.366824375
## 8989         High 0.180792494   0.189941424
## 8990          Low 1.205807331   1.117599510
## 8991          Low 0.069172780   0.077559415
## 8992          Low 1.025014836   0.893468630
## 8993          Low 1.182225701   1.088364359
## 8994          Low 1.025014836   1.007860852
## 8995         High 1.182225701   1.174154569
## 8996          Low 0.396171378   0.342638500
## 8997          Low 0.553382243   0.508948045
## 8998          Low 0.396171378   0.113869884
## 8999          Low 0.553382243   0.308765613
## 9000          Low 0.396171378   0.342638500
## 9001          Low 0.553382243   0.508948045
## 9002          Low 1.025014836   1.007860852
## 9003         High 1.182225701   1.174154569
## 9004         High 0.474776811   0.211309834
## 9005         High 0.710593107   0.503661342
## 9006         High 0.553382243   0.549247284
## 9007         High 0.710593107   0.675241762
## 9008          Low 0.946409404   0.924698165
## 9009         High 0.789198540   0.601117121
## 9010         High 1.103620269   0.990924408
## 9011         High 0.710593107   0.675241762
## 9012          Low 0.946409404   0.924698165
## 9013          Low 0.710593107   0.503661342
## 9014          Low 0.946409404   0.796012851
## 9015         High 0.974707360   0.864803303
## 9016          Low 0.710593107   0.723360256
## 9017          Low 0.350580228   0.360888705
## 9018          Low 0.649280870   0.661629293
## 9019         High 0.111619714   0.104467783
## 9020          Low 0.396171378   0.406791216
## 9021         High 0.742035280   0.755017160
## 9022          Low 0.742035280   0.755017160
## 9023         High 0.484209463   0.479602095
## 9024          Low 0.056595911   0.049068201
## 9025          Low 0.867803972   0.698572900
## 9026          Low 1.182225701   1.088364359
## 9027         High 0.710593107   0.503661342
## 9028          Low 1.025014836   0.893468630
## 9029         High 0.235187453   0.228879416
## 9030          Low 0.298543432   0.292668077
## 9031          Low 0.233929766   0.243441592
## 9032          Low 0.426355864   0.421353392
## 9033          Low 0.232672079   0.226346863
## 9034          Low 0.334859141   0.329231801
## 9035         High 0.016664352   0.008863933
## 9036         High 0.169787734   0.163033056
## 9037          Low 0.097470736   0.106050628
## 9038          Low 0.242104731   0.235843935
## 9039         High 0.389882944   0.384631383
## 9040          Low 0.238960514   0.248506696
## 9041         High 0.048735368   0.056982427
## 9042          Low 0.319138055   0.329231801
## 9043          Low 0.493956536   0.489415736
## 9044          Low 0.091811145   0.100352386
## 9045         High 0.238960514   0.081041674
## 9046          Low 0.396171378   0.113869884
## 9047         High 0.279835339   0.273832219
## 9048          Low 1.025014836   0.893468630
## 9049         High 1.103620269   0.990924408
## 9050          Low 0.389882944   0.384631383
## 9051         High 0.075461215   0.068062344
## 9052          Low 0.468488376   0.463773643
## 9053          Low 0.502147222   0.497662359
## 9054          Low 0.279835339   0.273832219
## 9055         High 0.710593107   0.503661342
## 9056         High 0.867803972   0.698572900
## 9057         High 0.525084287   0.520756071
## 9058          Low 0.227955754   0.237426780
## 9059         High 0.389882944   0.384631383
## 9060          Low 0.690155695   0.702783268
## 9061          Low 0.389882944   0.384631383
## 9062          Low 0.690155695   0.702783268
## 9063          Low 0.122624474   0.115547700
## 9064          Low 0.151708484   0.160658788
## 9065         High 0.161927190   0.155118830
## 9066          Low 0.121052366   0.113964854
## 9067          Low 0.233929766   0.243441592
## 9068          Low 0.121052366   0.113964854
## 9069          Low 0.233929766   0.243441592
## 9070         High 0.426355864   0.421353392
## 9071          Low 0.493642114   0.489099167
## 9072          Low 0.064142033   0.056665858
## 9073          Low 0.372196722   0.366824375
## 9074          Low 0.180792494   0.189941424
## 9075          Low 0.468488376   0.463773643
## 9076          Low 0.553382243   0.549247284
## 9077          Low 0.545521700   0.557161510
## 9078         High 0.804919626   0.818330968
## 9079          Low 0.553382243   0.549247284
## 9080          Low 0.551024080   0.546873016
## 9081          Low 0.172145897   0.165407323
## 9082          Low 0.096684682   0.105259206
## 9083          Low 0.389882944   0.384631383
## 9084          Low 0.121052366   0.113964854
## 9085          Low 0.233929766   0.243441592
## 9086          Low 0.317565946   0.327648956
## 9087          Low 0.474776811   0.485933476
## 9088          Low 0.154066647   0.147204604
## 9089          Low 0.567531221   0.563492891
## 9090         High 0.048735368   0.056982427
## 9091         High 0.168750142   0.161988378
## 9092          Low 0.369980048   0.380421015
## 9093          Low 0.095898627   0.104467783
## 9094          Low 0.389882944   0.384631383
## 9095          Low 0.083321758   0.075976570
## 9096          Low 0.867803972   0.698572900
## 9097          Low 1.103620269   0.990924408
## 9098          Low 0.396171378   0.406791216
## 9099          Low 0.710593107   0.723360256
## 9100          Low 0.064142033   0.056665858
## 9101         High 0.389882944   0.384631383
## 9102          Low 0.600545502   0.612561092
## 9103          Low 0.836361799   0.849987872
## 9104         High 0.326998598   0.321317575
## 9105         High 0.374161857   0.368802931
## 9106         High 0.097470736   0.106050628
## 9107          Low 0.547093808   0.542915903
## 9108          Low 0.547093808   0.542915903
## 9109         High 0.547093808   0.542915903
## 9110          Low 0.081749650   0.090222176
## 9111         High 0.569103329   0.580904188
## 9112          Low 0.547093808   0.542915903
## 9113          Low 0.090003220   0.082703662
## 9114          Low 0.081749650   0.090222176
## 9115         High 1.260831133   1.277356076
## 9116         High 0.334859141   0.329231801
## 9117          Low 0.016664352   0.008863933
## 9118          Low 0.003144217   0.011079916
## 9119          Low 0.081749650   0.090222176
## 9120          Low 0.468488376   0.463773643
## 9121         High 0.547093808   0.542915903
## 9122         High 0.468488376   0.463773643
## 9123          Low 0.867803972   0.881644776
## 9124          Low 0.547093808   0.542915903
## 9125          Low 0.553382243   0.308765613
## 9126          Low 0.232672079   0.226346863
## 9127          Low 0.232672079   0.226346863
## 9128          Low 0.232672079   0.226346863
## 9129          Low 0.631987675   0.644217996
## 9130          Low 0.081749650   0.090222176
## 9131          Low 0.004873537   0.012821046
## 9132          Low 0.003144217   0.011079916
## 9133          Low 0.396171378   0.406791216
## 9134          Low 0.081749650   0.457220664
## 9135          Low 0.814352278   0.180507667
## 9136         High 0.232672079   0.226346863
## 9137          Low 0.820640713   0.791660026
## 9138         High 0.867803972   0.841551307
## 9139          Low 0.474776811   0.485933476
## 9140          Low 0.238960514   0.578799004
## 9141          Low 0.631987675   0.644217996
## 9142          Low 0.631987675   0.592094904
## 9143          Low 0.059740129   0.052233892
## 9144          Low 0.270402687   0.603111506
## 9145         High 1.339436565   1.356498336
## 9146         High 0.286123773   0.045285201
## 9147          Low 0.608406046   0.864534219
## 9148         High 0.427613551   0.438448120
## 9149          Low 0.468488376   0.463773643
## 9150          Low 0.154066647   0.147204604
## 9151          Low 0.248393166   0.345630078
## 9152          Low 1.025014836   1.039929296
## 9153          Low 1.182225701   1.174154569
## 9154          Low 0.757756367   0.725133043
## 9155         High 0.899246145   0.806586257
## 9156          Low 0.317565946   0.259491642
## 9157          Low 0.232672079   0.356599195
## 9158         High 0.081749650   0.090222176
## 9159          Low 0.081749650   0.457220664
## 9160          Low 0.704304673   1.141088932
## 9161          Low 0.474776811   0.485933476
## 9162         High 1.339436565   1.356498336
## 9163          Low 1.197946787   1.190790272
## 9164         High 0.553397964   0.565091565
## 9165          Low 0.823784930   0.794984001
## 9166         High 0.726314194   0.691877465
## 9167          Low 0.232672079   0.226346863
## 9168          Low 0.468488376   0.463773643
## 9169          Low 0.468488376   0.463773643
## 9170          Low 0.396171378   0.406791216
## 9171         High 0.154066647   0.232709901
## 9172          Low 0.679150935   0.641986184
## 9173          Low 0.899246145   0.913301680
## 9174         High 1.339436565   1.356498336
## 9175          Low 0.238960514   0.248506696
## 9176          Low 0.081749650   0.090222176
## 9177          Low 0.081749650   0.090222176
## 9178         High 0.081749650   0.090222176
## 9179          Low 1.276552220   1.293184528
## 9180          Low 1.050168575   1.065254819
## 9181          Low 0.081749650   0.090222176
## 9182          Low 0.356868662   0.367220086
## 9183          Low 0.993572664   0.887248048
## 9184         High 0.232672079   0.226346863
## 9185          Low 0.396171378   0.342638500
## 9186          Low 1.339436565   1.356498336
## 9187          Low 0.311277512   0.305489123
## 9188          Low 0.232672079   0.226346863
## 9189         High 0.396171378   0.068647996
## 9190         High 1.339436565   1.340464114
## 9191          Low 0.867803972   0.881644776
## 9192         High 0.710593107   0.723360256
## 9193          Low 0.081749650   0.090222176
## 9194          Low 0.081749650   0.090222176
## 9195          Low 0.553382243   0.363357944
## 9196          Low 0.836377520   0.734392687
## 9197          Low 0.820640713   0.681430687
## 9198          Low 0.710593107   0.366776890
## 9199         High 0.789198540   0.802502516
## 9200          Low 0.396171378   0.406791216
## 9201         High 0.553382243   0.565075736
## 9202          Low 0.075461215   0.385042923
## 9203          Low 0.804919626   0.662721456
## 9204          Low 0.710593107   0.589958063
## 9205         High 0.317565946   0.327648956
## 9206          Low 0.311277512   0.305489123
## 9207          Low 0.232672079   0.226346863
## 9208          Low 1.009293750   0.932944789
## 9209          Low 0.631987675   0.499704229
## 9210          Low 0.853654994   0.340644115
## 9211         High 0.160355082   0.473682254
## 9212         High 0.034586390   0.042736820
## 9213         High 0.238960514   0.248506696
## 9214          Low 0.238960514   0.248506696
## 9215         High 0.710593107   0.723360256
## 9216         High 0.867803972   0.881644776
## 9217          Low 0.584824416   0.814563796
## 9218          Low 1.025014836   0.924666508
## 9219          Low 0.075461215   1.222336377
## 9220          Low 0.075461215   0.068062344
## 9221         High 0.710593107   0.366776890
## 9222          Low 0.867803972   0.737574206
## 9223          Low 0.396171378   0.406791216
## 9224          Low 0.515651636   0.511258999
## 9225          Low 0.547093808   0.542915903
## 9226          Low 0.600545502   0.419501463
## 9227         High 0.396171378   0.406791216
## 9228          Low 0.934461378   0.948757412
## 9229          Low 0.081749650   0.090222176
## 9230          Low 0.946409404   0.831120357
## 9231          Low 0.553382243   0.409434568
## 9232          Low 0.631987675   0.456919924
## 9233         High 0.962130491   0.878795655
## 9234          Low 0.474776811   0.269811793
## 9235         High 0.474776811   0.040204268
## 9236         High 0.356868662   0.123082043
## 9237          Low 0.396171378   0.176265641
## 9238         High 0.154066647   0.147204604
## 9239         High 1.065009280   0.857601357
## 9240          Low 0.012576869   0.004748536
## 9241          Low 0.270402687   0.113521658
## 9242          Low 1.433763084   1.420350311
## 9243         High 0.380450292   0.157556411
## 9244          Low 0.553382243   0.565075736
## 9245          Low 0.710593107   0.454941367
## 9246          Low 0.232672079   0.259681583
## 9247         High 0.003144217   0.011079916
## 9248          Low 0.191797255   0.201021340
## 9249          Low 0.845794451   0.711378118
## 9250          Low 0.238960514   0.248506696
## 9251          Low 0.687011478   0.562875581
## 9252          Low 0.553382243   0.149072361
## 9253          Low 1.166504614   1.093065409
## 9254          Low 0.828501256   0.530063200
## 9255          Low 0.223239428   0.232678244
## 9256          Low 0.311277512   0.094923227
## 9257          Low 0.396171378   0.406791216
## 9258          Low 0.389882944   0.031799360
## 9259          Low 0.993572664   1.008272392
## 9260          Low 0.154066647   0.147204604
## 9261         High 0.396171378   0.663053854
## 9262          Low 0.075461215   0.068062344
## 9263          Low 0.317565946   0.052613774
## 9264         High 0.075461215   0.068062344
## 9265          Low 0.553382243   0.409434568
## 9266          Low 0.514079527   0.525504606
## 9267          Low 0.726314194   0.569175305
## 9268          Low 0.081749650   0.090222176
## 9269         High 0.106903388   0.099719248
## 9270          Low 1.175937266   1.353791670
## 9271         High 0.789198540   0.802502516
## 9272          Low 0.742035280   0.755017160
## 9273          Low 0.081749650   0.090222176
## 9274          Low 0.620668493   0.443449911
## 9275          Low 0.317565946   0.327648956
## 9276          Low 0.631987675   0.456919924
## 9277          Low 0.003144217   0.011079916
## 9278          Low 0.521940070   0.533418832
## 9279          Low 0.789198540   0.644012226
## 9280          Low 2.276413318   1.229617464
## 9281          Low 0.103366143   0.096157846
## 9282          Low 0.189439092   0.198647072
## 9283          Low 1.314282827   1.268935339
## 9284          Low 0.804919626   0.662721456
## 9285         High 0.232672079   0.572135226
## 9286          Low 0.238960514   0.536806121
## 9287          Low 0.468488376   0.463773643
## 9288         High 1.323715479   1.280157712
## 9289         High 0.240532623   0.151747369
## 9290          Low 0.468488376   0.463773643
## 9291          Low 1.310446882   1.327310670
## 9292          Low 0.311277512   0.305489123
## 9293          Low 0.946409404   0.860735391
## 9294          Low 0.726314194   0.569175305
## 9295          Low 0.867803972   0.881644776
## 9296          Low 1.103620269   1.041258886
## 9297          Low 0.286123773   0.295992052
## 9298          Low 1.307994392   1.261448481
## 9299          Low 0.447107699   0.236888612
## 9300          Low 0.380450292   0.390962764
## 9301          Low 0.238960514   0.248506696
## 9302          Low 0.836361799   0.700139917
## 9303          Low 1.150783528   1.074356179
## 9304          Low 0.317565946   0.327648956
## 9305         High 1.010865859   0.782621980
## 9306         High 0.317565946   0.177500261
## 9307          Low 1.175937266   0.935508998
## 9308         High 0.081749650   0.132120089
## 9309          Low 0.474776811   0.269811793
## 9310          Low 0.773477453   0.786674064
## 9311         High 1.175937266   1.220231192
## 9312          Low 0.474776811   0.269811793
## 9313         High 0.993572664   0.914900354
## 9314          Low 0.113191822   0.121879080
## 9315          Low 0.899246145   0.628041318
## 9316          Low 0.899246145   0.774992666
## 9317          Low 1.323715479   1.280157712
## 9318          Low 0.232672079   0.226346863
## 9319          Low 1.339436565   1.356498336
## 9320          Low 3.062467640   0.946604743
## 9321          Low 0.867803972   0.881644776
## 9322          Low 1.119341355   1.036937718
## 9323          Low 1.072178096   1.005154187
## 9324         High 0.789198540   0.680211896
## 9325          Low 0.447107699   0.236888612
## 9326          Low 1.355157652   1.330080649
## 9327          Low 0.075461215   0.068062344
## 9328          Low 0.547093808   0.542915903
## 9329          Low 0.232672079   0.226346863
## 9330         High 0.075461215   0.284310655
## 9331         High 0.946409404   0.693349511
## 9332          Low 0.631987675   0.456919924
## 9333          Low 0.490497897   0.501761928
## 9334          Low 1.370878738   1.388155240
## 9335          Low 0.710593107   0.723360256
## 9336          Low 0.389882944   0.384631383
## 9337         High 0.050307477   1.373798834
## 9338          Low 0.867803972   0.737574206
## 9339          Low 1.119341355   1.059303321
## 9340          Low 1.031303271   0.932153366
## 9341          Low 0.396171378   0.228926901
## 9342         High 0.789198540   0.680211896
## 9343          Low 0.154066647   0.147204604
## 9344          Low 0.474776811   0.485933476
## 9345          Low 0.679150935   0.691703352
## 9346          Low 0.506218984   0.517590380
## 9347         High 1.050168575   0.954598111
## 9348          Low 0.201229907   0.194689959
## 9349         High 0.521154016   0.516798958
## 9350          Low 0.402459813   0.397294145
## 9351         High 1.025014836   0.951005053
## 9352         High 0.861515537   0.211452290
## 9353         High 1.276552220   1.224030021
## 9354          Low 0.003144217   0.011079916
## 9355          Low 0.081749650   0.090222176
# We can also look at Van Valen's test. Equivalent to the comparison of mean absolute median
# diferences between two groups. In the sparrows' example, the Van Valen's test
# is one-sided (Mean dij for survivors < Mean dij for non-survivors)
# dij is the norm of the individual vector i composed by the absolute
# deviations computed for all the variables in sample j.
# These norms define the second column of the data frame d.all

d.all <- data.frame(Salary_Level,sqrt(rowSums(matabsdev.all[,-1]^2)))
d.all
##      Salary_Level sqrt.rowSums.matabsdev.all....1..2..
## 1             Low                          0.016379571
## 2            High                          0.563893143
## 3             Low                          0.840522816
## 4            High                          0.519275673
## 5             Low                          0.417719503
## 6             Low                          0.840522816
## 7             Low                          2.527081871
## 8            High                          1.054688515
## 9             Low                          0.396578297
## 10           High                          0.707733092
## 11           High                          1.779730268
## 12           High                          0.774659698
## 13            Low                          0.791443245
## 14            Low                          1.933662349
## 15            Low                          0.100959677
## 16            Low                          0.428873779
## 17            Low                          0.018582705
## 18           High                          0.038554888
## 19           High                          1.351397720
## 20            Low                          0.239254052
## 21            Low                          0.396578297
## 22           High                          1.358090413
## 23            Low                          0.818213916
## 24           High                          0.012004112
## 25            Low                          0.428873779
## 26           High                          0.018582705
## 27           High                          0.154042294
## 28           High                          0.956254212
## 29            Low                          2.148944214
## 30           High                          0.044171570
## 31           High                          1.779730268
## 32           High                          0.944207391
## 33            Low                          2.248219284
## 34           High                          0.685424244
## 35            Low                          0.273882930
## 36           High                          0.551571446
## 37            Low                          0.353381925
## 38            Low                          0.060828063
## 39            Low                          1.093729176
## 40           High                          0.278292632
## 41            Low                          0.484645323
## 42           High                          0.853908158
## 43            Low                          0.819277477
## 44           High                          0.606279818
## 45            Low                          0.742363712
## 46           High                          0.819277477
## 47            Low                          0.819277477
## 48           High                          1.355859516
## 49           High                          0.324024217
## 50           High                          0.707733092
## 51            Low                          0.891833308
## 52           High                          0.060828063
## 53            Low                          0.596188979
## 54            Low                          0.462336676
## 55            Low                          0.018582705
## 56           High                          0.484645323
## 57           High                          0.742363712
## 58           High                          0.150027324
## 59           High                          0.060828063
## 60            Low                          0.630819500
## 61            Low                          0.296190916
## 62            Low                          1.478558905
## 63            Low                          0.742363712
## 64            Low                          0.239254052
## 65            Low                          0.519275673
## 66           High                          0.886204195
## 67           High                          0.016379571
## 68            Low                          0.573880202
## 69            Low                          0.407732548
## 70           High                          0.774659698
## 71           High                          0.742363712
## 72            Low                          0.073139478
## 73            Low                          0.407732548
## 74           High                          0.774659698
## 75           High                          0.328485864
## 76           High                          0.908513112
## 77            Low                          0.863895283
## 78           High                          0.819277477
## 79            Low                          0.138562564
## 80           High                          0.519275673
## 81           High                          0.886204195
## 82           High                          2.310684499
## 83            Low                          0.222240739
## 84           High                          0.742363712
## 85           High                          0.239254052
## 86           High                          0.261561731
## 87            Low                          0.038554888
## 88           High                          0.819277477
## 89           High                          0.930822035
## 90           High                          3.960102646
## 91            Low                          0.972145437
## 92           High                          0.849446377
## 93           High                          1.590103835
## 94           High                          0.350794157
## 95            Low                          0.206960310
## 96           High                          0.202498906
## 97            Low                          0.339639998
## 98           High                          0.462336676
## 99            Low                          0.742363712
## 100           Low                          0.596188979
## 101           Low                          0.742363712
## 102          High                          0.038554888
## 103           Low                          0.774659698
## 104          High                          0.742363712
## 105           Low                          0.742363712
## 106          High                          0.742363712
## 107           Low                          0.742363712
## 108           Low                          0.814815698
## 109           Low                          0.435566351
## 110           Low                          0.015661416
## 111           Low                          0.015661416
## 112          High                          0.462336676
## 113           Low                          2.669859530
## 114          High                          0.402103537
## 115          High                          0.015661416
## 116          High                          0.484645323
## 117           Low                          0.819277477
## 118          High                          0.440028067
## 119          High                          0.038554888
## 120          High                          0.077598322
## 121           Low                          0.462336676
## 122          High                          0.138562564
## 123          High                          2.393227824
## 124           Low                          0.117738011
## 125           Low                          1.768575770
## 126          High                          0.440028067
## 127          High                          0.296190916
## 128          High                          0.819277477
## 129          High                          0.511415743
## 130          High                          0.141105303
## 131          High                          2.950953070
## 132          High                          0.430041091
## 133          High                          0.630819500
## 134          High                          1.768575770
## 135          High                          0.440028067
## 136           Low                          0.187947597
## 137           Low                          0.791443245
## 138          High                          0.630819500
## 139          High                          1.188542243
## 140          High                          0.519275673
## 141           Low                          0.819277477
## 142          High                          0.930822035
## 143           Low                          0.730041951
## 144           Low                          1.188542243
## 145           Low                          0.657538199
## 146           Low                          0.734555608
## 147          High                          0.819277477
## 148           Low                          0.150027324
## 149          High                          1.358090413
## 150          High                          1.411631960
## 151          High                          0.073139478
## 152          High                          0.373102537
## 153          High                          0.354192291
## 154          High                          0.399872687
## 155          High                          0.363115639
## 156           Low                          0.296190916
## 157          High                          0.596188979
## 158          High                          0.697379429
## 159          High                          0.038554888
## 160           Low                          0.819277477
## 161           Low                          0.596188979
## 162           Low                          0.930822035
## 163           Low                          1.500867889
## 164           Low                          0.618497773
## 165           Low                          0.373102537
## 166           Low                          0.395410989
## 167           Low                          0.462336676
## 168           Low                          0.073139478
## 169           Low                          0.484645323
## 170           Low                          2.652012322
## 171           Low                          0.895127761
## 172           Low                          0.819277477
## 173           Low                          1.969356749
## 174          High                          0.899589545
## 175           Low                          0.485812640
## 176          High                          0.484645323
## 177           Low                          1.605720127
## 178           Low                          0.317331756
## 179           Low                          0.819277477
## 180          High                          0.038554888
## 181           Low                          0.819277477
## 182          High                          0.462336676
## 183          High                          0.256036671
## 184          High                          0.462336676
## 185           Low                          0.563893143
## 186          High                          0.563893143
## 187          High                          0.462336676
## 188          High                          0.437797209
## 189           Low                          0.462336676
## 190          High                          0.373102537
## 191          High                          0.930822035
## 192           Low                          0.563893143
## 193           Low                          0.373102537
## 194          High                          0.930822035
## 195           Low                          2.051900052
## 196          High                          0.611805133
## 197          High                          0.891833308
## 198          High                          0.794737695
## 199           Low                          1.351397720
## 200           Low                          0.028601871
## 201           Low                          0.819277477
## 202          High                          0.596188979
## 203           Low                          1.991665749
## 204          High                          0.283869622
## 205           Low                          1.634721814
## 206          High                          1.411631960
## 207           Low                          0.519275673
## 208           Low                          0.028601871
## 209           Low                          1.143924323
## 210           Low                          0.239254052
## 211          High                          0.396578297
## 212           Low                          0.563893143
## 213          High                          0.073139478
## 214           Low                          1.668185300
## 215           Low                          1.166233282
## 216           Low                          0.629652176
## 217           Low                          3.232938994
## 218           Low                          1.806947242
## 219           Low                          0.150027324
## 220           Low                          0.837176480
## 221          High                          0.462336676
## 222           Low                          0.416655959
## 223          High                          0.742363712
## 224           Low                          0.596188979
## 225          High                          0.965452758
## 226           Low                          0.015720158
## 227          High                          1.233160172
## 228          High                          0.742363712
## 229          High                          1.590103835
## 230           Low                          0.350794157
## 231           Low                          0.117738011
## 232           Low                          0.194639615
## 233          High                          0.519275673
## 234           Low                          0.596188979
## 235          High                          0.819277477
## 236          High                          1.634721814
## 237           Low                          0.430041091
## 238          High                          0.150027324
## 239           Low                          0.296190916
## 240          High                          0.563893143
## 241           Low                          1.777499368
## 242           Low                          0.299485245
## 243           Low                          0.471260131
## 244           Low                          0.528199159
## 245           Low                          0.361948337
## 246          High                          0.563893143
## 247           Low                          0.373102537
## 248           Low                          0.596188979
## 249           Low                          0.029660707
## 250          High                          0.140041938
## 251           Low                          0.640806583
## 252          High                          0.373102537
## 253          High                          0.791443245
## 254          High                          0.863895283
## 255          High                          0.396578297
## 256          High                          0.202498906
## 257          High                          0.553802321
## 258          High                          0.128889754
## 259           Low                          0.395410989
## 260          High                          0.666513615
## 261           Low                          0.944207391
## 262           Low                          0.819277477
## 263           Low                          0.462336676
## 264          High                          0.462336676
## 265          High                          3.336898999
## 266          High                          0.172333097
## 267           Low                          2.446769441
## 268          High                          0.605112494
## 269          High                          0.563893143
## 270           Low                          0.396578297
## 271           Low                          1.601258329
## 272          High                          0.887371525
## 273           Low                          1.350282272
## 274          High                          0.596188979
## 275           Low                          0.563893143
## 276          High                          0.768139676
## 277           Low                          0.720054847
## 278          High                          3.046881823
## 279          High                          0.045233131
## 280           Low                          1.411631960
## 281           Low                          0.296190916
## 282          High                          0.018582705
## 283           Low                          0.340807296
## 284           Low                          0.886204195
## 285          High                          0.359159790
## 286           Low                          0.038554888
## 287          High                          2.527081871
## 288           Low                          1.634721814
## 289          High                          0.853908158
## 290          High                          0.373102537
## 291          High                          0.396578297
## 292           Low                          2.466847548
## 293          High                          0.256036671
## 294          High                          1.188542243
## 295           Low                          0.073139478
## 296          High                          0.038554888
## 297           Low                          0.791443245
## 298           Low                          3.062498132
## 299           Low                          0.618497773
## 300          High                          0.467965718
## 301           Low                          0.791443245
## 302          High                          0.296190916
## 303          High                          0.819277477
## 304          High                          1.054688515
## 305          High                          0.474658311
## 306           Low                          0.006744347
## 307           Low                          0.340807296
## 308          High                          0.886204195
## 309           Low                          0.819277477
## 310           Low                          0.073139478
## 311           Low                          0.484645323
## 312           Low                          2.080901755
## 313           Low                          0.073139478
## 314          High                          0.563893143
## 315          High                          0.073139478
## 316          High                          1.315703361
## 317          High                          0.563893143
## 318          High                          0.563893143
## 319          High                          1.991665749
## 320           Low                          0.283869622
## 321          High                          0.916544324
## 322           Low                          2.527081871
## 323           Low                          0.184653486
## 324           Low                          0.073139478
## 325          High                          0.396578297
## 326          High                          1.102875846
## 327          High                          0.609395783
## 328           Low                          0.930822035
## 329           Low                          0.629786029
## 330           Low                          0.116570996
## 331           Low                          2.527081871
## 332           Low                          1.634721814
## 333          High                          1.590103835
## 334           Low                          0.350794157
## 335          High                          0.296190916
## 336           Low                          0.819277477
## 337          High                          0.860600831
## 338          High                          0.238190555
## 339          High                          0.418886813
## 340          High                          0.108817025
## 341          High                          1.315703361
## 342           Low                          0.063056775
## 343          High                          1.969356749
## 344          High                          0.462336676
## 345          High                          0.993338925
## 346          High                          2.527081871
## 347          High                          0.530430032
## 348          High                          0.631883057
## 349          High                          2.652012322
## 350           Low                          0.895127761
## 351          High                          0.141105303
## 352          High                          1.605720127
## 353          High                          0.317331756
## 354           Low                          0.683193359
## 355          High                          0.742363712
## 356           Low                          0.596188979
## 357          High                          0.038554888
## 358           Low                          1.969356749
## 359          High                          0.373102537
## 360           Low                          0.350794157
## 361          High                          0.663167290
## 362           Low                          0.581740156
## 363          High                          0.407732548
## 364           Low                          0.462336676
## 365          High                          1.002262500
## 366           Low                          0.053080839
## 367           Low                          0.596188979
## 368           Low                          0.683193359
## 369          High                          1.788096141
## 370           Low                          0.627421295
## 371          High                          0.860600831
## 372          High                          0.238190555
## 373          High                          0.573880202
## 374           Low                          0.462336676
## 375          High                          0.819277477
## 376           Low                          1.014532417
## 377          High                          0.189062930
## 378           Low                          0.073139478
## 379           Low                          0.596188979
## 380           Low                          0.653128318
## 381          High                          0.060828063
## 382          High                          0.462336676
## 383          High                          0.038554888
## 384          High                          0.965452758
## 385          High                          0.206960310
## 386           Low                          0.060828063
## 387          High                          0.471260131
## 388           Low                          0.016379571
## 389          High                          1.350282272
## 390          High                          0.596188979
## 391           Low                          0.395410989
## 392           Low                          0.202498906
## 393           Low                          0.553802321
## 394          High                          0.853908158
## 395          High                          0.462336676
## 396          High                          0.428873779
## 397           Low                          0.596188979
## 398          High                          0.930822035
## 399          High                          0.853908158
## 400          High                          0.462336676
## 401           Low                          2.299529996
## 402          High                          0.612972456
## 403          High                          0.428873779
## 404          High                          0.742363712
## 405           Low                          0.908513112
## 406          High                          0.430041091
## 407          High                          4.088712824
## 408          High                          0.296190916
## 409           Low                          0.261561731
## 410          High                          0.596188979
## 411           Low                          1.188542243
## 412           Low                          0.150027324
## 413           Low                          0.596188979
## 414          High                          1.396015675
## 415           Low                          0.834893706
## 416          High                          0.791443245
## 417          High                          0.073139478
## 418          High                          0.596188979
## 419           Low                          1.369244902
## 420           Low                          0.910744005
## 421           Low                          0.368640855
## 422          High                          0.462336676
## 423           Low                          0.596188979
## 424          High                          0.889602416
## 425           Low                          1.358090413
## 426           Low                          0.791443245
## 427           Low                          1.634721814
## 428           Low                          0.791443245
## 429           Low                          0.685424244
## 430          High                          0.296190916
## 431           Low                          2.705553947
## 432          High                          0.082057488
## 433           Low                          0.707733092
## 434          High                          0.596188979
## 435           Low                          0.619665097
## 436          High                          1.634721814
## 437           Low                          0.144451038
## 438          High                          0.581740156
## 439           Low                          0.651960993
## 440           Low                          0.350794157
## 441           Low                          0.774659698
## 442          High                          0.822675695
## 443           Low                          0.462336676
## 444          High                          3.274433759
## 445           Low                          0.953130962
## 446          High                          0.150027324
## 447          High                          3.736230368
## 448           Low                          0.782519691
## 449           Low                          0.462336676
## 450          High                          0.672038940
## 451          High                          0.841586377
## 452          High                          0.006744347
## 453           Low                          0.150027324
## 454          High                          0.016379571
## 455          High                          0.375333379
## 456          High                          0.504723134
## 457           Low                          2.652012322
## 458          High                          0.317331756
## 459           Low                          0.144674088
## 460          High                          0.563893143
## 461           Low                          1.969356749
## 462          High                          0.373102537
## 463           Low                          0.856139049
## 464          High                          0.563893143
## 465           Low                          0.172333097
## 466           Low                          0.953130962
## 467           Low                          1.429479144
## 468          High                          0.435566351
## 469          High                          0.953130962
## 470           Low                          0.965452758
## 471           Low                          0.150027324
## 472          High                          0.675385266
## 473           Low                          0.819277477
## 474          High                          1.355859516
## 475          High                          0.324024217
## 476          High                          0.707733092
## 477           Low                          0.261561731
## 478          High                          0.742363712
## 479          High                          0.038554888
## 480          High                          2.595124348
## 481           Low                          0.348615206
## 482          High                          0.332999397
## 483          High                          0.256036671
## 484          High                          0.563893143
## 485           Low                          0.930822035
## 486          High                          3.160657790
## 487           Low                          0.421117667
## 488          High                          0.043006550
## 489           Low                          0.553802321
## 490          High                          0.630819500
## 491           Low                          0.376448800
## 492           Low                          0.853908158
## 493           Low                          0.150027324
## 494           Low                          0.877280630
## 495           Low                          0.860600831
## 496          High                          0.238190555
## 497          High                          0.596188979
## 498           Low                          0.398809146
## 499           Low                          0.519275673
## 500          High                          1.634721814
## 501           Low                          3.189659507
## 502           Low                          0.125566483
## 503           Low                          2.080901755
## 504          High                          0.596188979
## 505           Low                          0.261561731
## 506          High                          0.819277477
## 507          High                          0.930822035
## 508          High                          1.991665749
## 509           Low                          0.283869622
## 510           Low                          0.018582705
## 511           Low                          0.796016568
## 512          High                          0.310639305
## 513           Low                          0.421117667
## 514          High                          1.712803285
## 515           Low                          0.058874193
## 516          High                          0.117738011
## 517          High                          0.965452758
## 518          High                          0.852740829
## 519          High                          0.043006550
## 520          High                          0.553802321
## 521           Low                          2.750171967
## 522          High                          0.430041091
## 523           Low                          4.133330858
## 524          High                          0.809290358
## 525          High                          0.768139676
## 526          High                          0.852740829
## 527           Low                          1.043534042
## 528          High                          0.908513112
## 529           Low                          2.527081871
## 530          High                          2.100734458
## 531           Low                          0.012250224
## 532          High                          2.640857818
## 533           Low                          0.888435087
## 534          High                          0.462336676
## 535           Low                          0.819277477
## 536           Low                          0.819277477
## 537           Low                          0.373102537
## 538          High                          0.358653963
## 539          High                          1.911353350
## 540          High                          0.730041951
## 541          High                          0.822675695
## 542           Low                          0.082057488
## 543           Low                          2.633049664
## 544          High                          0.596188979
## 545           Low                          2.685475837
## 546           Low                          0.670975382
## 547           Low                          0.738965498
## 548           Low                          1.411631960
## 549           Low                          2.080901755
## 550           Low                          0.150027324
## 551           Low                          0.596188979
## 552           Low                          0.150027324
## 553           Low                          0.551571446
## 554          High                          0.038554888
## 555          High                          0.492676445
## 556           Low                          2.080901755
## 557           Low                          0.596188979
## 558          High                          0.373102537
## 559           Low                          1.496227620
## 560           Low                          0.626975119
## 561           Low                          1.632490915
## 562           Low                          2.370918817
## 563           Low                          0.038554888
## 564           Low                          0.150027324
## 565           Low                          0.484645323
## 566          High                          1.188542243
## 567           Low                          0.373102537
## 568           Low                          0.791443245
## 569           Low                          0.296190916
## 570          High                          0.150027324
## 571          High                          0.960957702
## 572          High                          0.576528362
## 573          High                          0.417719503
## 574           Low                          1.255469140
## 575           Low                          0.774659698
## 576          High                          0.428873779
## 577           Low                          2.118827060
## 578           Low                          0.303946865
## 579           Low                          1.605720127
## 580          High                          0.860600831
## 581          High                          0.238190555
## 582          High                          0.663115407
## 583          High                          0.474658311
## 584          High                          1.605720127
## 585           Low                          0.596188979
## 586          High                          1.605720127
## 587           Low                          0.033045867
## 588           Low                          0.073890195
## 589           Low                          0.073890195
## 590          High                          2.504772862
## 591          High                          0.006744347
## 592          High                          0.396578297
## 593           Low                          0.073139478
## 594           Low                          0.368640855
## 595           Low                          0.216946648
## 596          High                          1.065842988
## 597           Low                          2.248219284
## 598          High                          0.417719503
## 599          High                          0.707733092
## 600           Low                          0.965452758
## 601           Low                          0.150027324
## 602          High                          0.752350820
## 603          High                          1.500867889
## 604          High                          0.296190916
## 605           Low                          0.619665097
## 606          High                          0.930822035
## 607          High                          0.653128318
## 608           Low                          0.060828063
## 609           Low                          3.062498132
## 610           Low                          0.618497773
## 611           Low                          4.088712824
## 612           Low                          0.296190916
## 613           Low                          1.976049449
## 614          High                          0.071972978
## 615           Low                          0.965452758
## 616          High                          0.206960310
## 617          High                          1.478558905
## 618          High                          0.327593534
## 619          High                          1.054688515
## 620          High                          0.194639615
## 621          High                          0.506954003
## 622           Low                          1.610181925
## 623           Low                          0.237469448
## 624          High                          2.727862957
## 625           Low                          0.332999397
## 626           Low                          0.930822035
## 627           Low                          0.596188979
## 628          High                          0.596188979
## 629           Low                          0.707733092
## 630          High                          0.358653963
## 631           Low                          0.764672586
## 632          High                          1.612412824
## 633          High                          0.707733092
## 634           Low                          1.351397720
## 635           Low                          0.630819500
## 636          High                          0.088694874
## 637           Low                          1.369244902
## 638          High                          0.910744005
## 639          High                          0.452349681
## 640          High                          1.351397720
## 641           Low                          2.527081871
## 642           Low                          2.527081871
## 643           Low                          0.172333097
## 644           Low                          0.228323384
## 645           Low                          0.184653486
## 646          High                          0.958708194
## 647           Low                          0.150027324
## 648          High                          0.551571446
## 649          High                          0.273882930
## 650           Low                          0.223913789
## 651           Low                          3.062498132
## 652          High                          0.618497773
## 653           Low                          0.786981468
## 654           Low                          0.618497773
## 655           Low                          0.261561731
## 656          High                          0.819277477
## 657           Low                          0.742363712
## 658          High                          0.428873779
## 659           Low                          0.819277477
## 660          High                          0.819277477
## 661          High                          0.018582705
## 662          High                          1.411631960
## 663          High                          0.786981468
## 664           Low                          0.930822035
## 665          High                          0.819277477
## 666          High                          0.396578297
## 667          High                          2.460154846
## 668          High                          0.872818847
## 669          High                          1.351397720
## 670           Low                          0.272715653
## 671          High                          0.898525983
## 672           Low                          0.038554888
## 673          High                          0.965452758
## 674           Low                          0.596188979
## 675           Low                          0.038554888
## 676           Low                          0.819277477
## 677          High                          0.038554888
## 678           Low                          0.485812640
## 679          High                          0.484645323
## 680           Low                          0.038554888
## 681          High                          0.819277477
## 682           Low                          0.965452758
## 683          High                          0.206960310
## 684           Low                          0.358653963
## 685          High                          0.653128318
## 686           Low                          0.060828063
## 687          High                          0.567797176
## 688           Low                          0.685424244
## 689          High                          0.060828063
## 690           Low                          0.073139478
## 691          High                          0.247158208
## 692          High                          0.675318339
## 693          High                          2.705553947
## 694           Low                          0.953130962
## 695          High                          0.328485864
## 696          High                          0.038554888
## 697          High                          0.819277477
## 698           Low                          0.730041951
## 699           Low                          0.150027324
## 700           Low                          0.909680442
## 701           Low                          0.875049738
## 702           Low                          0.819277477
## 703          High                          0.742363712
## 704          High                          0.150027324
## 705           Low                          3.232938994
## 706           Low                          1.806947242
## 707           Low                          0.073139478
## 708           Low                          0.596188979
## 709           Low                          0.819277477
## 710           Low                          0.324024217
## 711           Low                          1.411631960
## 712           Low                          0.194639615
## 713          High                          0.484645323
## 714           Low                          0.358653963
## 715          High                          0.707733092
## 716          High                          2.080901755
## 717           Low                          0.296190916
## 718           Low                          0.060828063
## 719          High                          0.358653963
## 720           Low                          2.303991798
## 721          High                          0.301716055
## 722           Low                          1.076997463
## 723          High                          0.385424060
## 724           Low                          2.527081871
## 725          High                          0.786981468
## 726          High                          0.596188979
## 727          High                          0.430041091
## 728          High                          0.707733092
## 729          High                          2.248219284
## 730           Low                          0.575047524
## 731          High                          0.073741401
## 732           Low                          0.774168903
## 733          High                          1.411631960
## 734           Low                          0.251575127
## 735          High                          0.060828063
## 736           Low                          0.930822035
## 737          High                          0.357486662
## 738          High                          0.060828063
## 739           Low                          2.080901755
## 740           Low                          0.296190916
## 741          High                          0.038554888
## 742           Low                          0.742363712
## 743          High                          0.038554888
## 744           Low                          0.819277477
## 745           Low                          3.391483925
## 746           Low                          0.819277477
## 747          High                          0.819277477
## 748           Low                          0.073139478
## 749          High                          0.373102537
## 750           Low                          0.819277477
## 751           Low                          0.060828063
## 752           Low                          0.162347266
## 753          High                          0.261561731
## 754           Low                          0.038554888
## 755          High                          0.596188979
## 756          High                          0.038554888
## 757          High                          1.500867889
## 758          High                          0.296190916
## 759          High                          0.596188979
## 760           Low                          0.702497778
## 761          High                          0.182638633
## 762           Low                          0.791443245
## 763          High                          2.884026034
## 764          High                          0.340807296
## 765          High                          0.791443245
## 766           Low                          0.067566473
## 767          High                          0.551571446
## 768           Low                          0.368640855
## 769          High                          0.358653963
## 770           Low                          1.432691638
## 771           Low                          0.414826659
## 772           Low                          0.707733092
## 773          High                          0.702497778
## 774          High                          0.182638633
## 775          High                          1.188542243
## 776           Low                          0.524800968
## 777          High                          1.607951026
## 778          High                          0.278344514
## 779           Low                          0.644762510
## 780           Low                          0.610131973
## 781          High                          0.707733092
## 782          High                          0.373102537
## 783          High                          1.054688515
## 784           Low                          0.474658311
## 785          High                          0.363115639
## 786           Low                          1.911353350
## 787           Low                          2.125519761
## 788           Low                          0.474658311
## 789           Low                          0.541584396
## 790           Low                          0.038554888
## 791           Low                          0.610689693
## 792           Low                          1.679339796
## 793          High                          1.300087080
## 794           Low                          0.073139478
## 795          High                          0.819277477
## 796          High                          0.412595806
## 797           Low                          0.038554888
## 798           Low                          0.596188979
## 799           Low                          1.732881379
## 800           Low                          0.232561798
## 801          High                          0.596188979
## 802          High                          1.969356749
## 803          High                          0.261561731
## 804           Low                          0.819277477
## 805          High                          0.519275673
## 806          High                          0.150027324
## 807           Low                          0.519275673
## 808           Low                          0.707733092
## 809          High                          0.384256755
## 810           Low                          0.891833308
## 811          High                          2.051900052
## 812          High                          0.611805133
## 813          High                          0.150027324
## 814          High                          2.466847548
## 815          High                          0.256036671
## 816           Low                          0.396578297
## 817          High                          1.648107208
## 818          High                          0.361948337
## 819           Low                          0.627963972
## 820           Low                          0.003867387
## 821          High                          0.830431926
## 822          High                          0.551571446
## 823          High                          2.080901755
## 824           Low                          0.088694874
## 825          High                          0.581740156
## 826          High                          0.206960310
## 827          High                          0.038554888
## 828          High                          0.140041938
## 829          High                          1.300087080
## 830           Low                          0.038554888
## 831           Low                          0.730041951
## 832           Low                          1.411631960
## 833          High                          0.853908158
## 834           Low                          0.407732548
## 835          High                          0.428873779
## 836           Low                          0.354192291
## 837          High                          0.399872687
## 838           Low                          0.506954003
## 839          High                          1.188542243
## 840           Low                          0.742363712
## 841          High                          0.417719503
## 842           Low                          0.018582705
## 843          High                          2.466847548
## 844           Low                          0.256036671
## 845          High                          0.073139478
## 846           Low                          0.685424244
## 847          High                          0.407732548
## 848           Low                          0.774659698
## 849          High                          0.218113890
## 850           Low                          1.634721814
## 851          High                          0.117738011
## 852          High                          0.653128318
## 853          High                          0.060828063
## 854           Low                          0.117738011
## 855          High                          0.506954003
## 856           Low                          0.914142227
## 857          High                          0.711391744
## 858           Low                          0.596188979
## 859           Low                          0.417719503
## 860           Low                          2.192446772
## 861          High                          0.073139478
## 862           Low                          4.869528438
## 863           Low                          1.857811755
## 864           Low                          0.615203336
## 865          High                          0.930822035
## 866           Low                          0.173500286
## 867          High                          2.415536831
## 868           Low                          0.210254494
## 869          High                          0.791443245
## 870           Low                          0.117738011
## 871           Low                          0.506954003
## 872           Low                          0.742363712
## 873           Low                          0.006744347
## 874           Low                          3.713921352
## 875          High                          1.396015675
## 876          High                          0.619665097
## 877          High                          0.738965498
## 878           Low                          0.742363712
## 879          High                          0.529262712
## 880           Low                          0.417719503
## 881           Low                          2.527081871
## 882           Low                          0.261561731
## 883           Low                          0.506954003
## 884           Low                          2.527081871
## 885          High                          0.541584396
## 886          High                          1.991665749
## 887          High                          0.060828063
## 888           Low                          0.440028067
## 889          High                          0.819277477
## 890          High                          0.953130962
## 891          High                          0.930822035
## 892           Low                          0.573880202
## 893          High                          0.248980170
## 894           Low                          0.934079138
## 895          High                          0.853908158
## 896           Low                          0.462336676
## 897          High                          0.073139478
## 898          High                          0.819277477
## 899           Low                          0.853908158
## 900           Low                          0.462336676
## 901           Low                          0.790275917
## 902           Low                          0.073139478
## 903           Low                          0.774659698
## 904           Low                          0.354192291
## 905          High                          0.399872687
## 906           Low                          0.073139478
## 907           Low                          0.819277477
## 908           Low                          0.150027324
## 909          High                          0.392116600
## 910          High                          2.125519761
## 911          High                          0.474658311
## 912          High                          0.038554888
## 913           Low                          1.188542243
## 914           Low                          0.663115407
## 915           Low                          0.581740156
## 916           Low                          0.083120467
## 917          High                          0.886204195
## 918           Low                          0.395410989
## 919          High                          0.519275673
## 920           Low                          0.596188979
## 921          High                          0.140041938
## 922          High                          0.417719503
## 923           Low                          0.730041951
## 924           Low                          0.150027324
## 925           Low                          0.596188979
## 926           Low                          1.969356749
## 927          High                          1.255469140
## 928           Low                          0.630819500
## 929           Low                          0.596188979
## 930           Low                          0.272715653
## 931          High                          0.930822035
## 932           Low                          1.634721814
## 933          High                          0.596188979
## 934          High                          0.340807296
## 935          High                          1.411631960
## 936          High                          0.385424060
## 937          High                          0.919667573
## 938           Low                          0.430041091
## 939          High                          0.259330953
## 940          High                          0.073139478
## 941          High                          0.596188979
## 942           Low                          0.730041951
## 943          High                          0.675437149
## 944           Low                          0.117738011
## 945          High                          0.373102537
## 946          High                          3.642532502
## 947          High                          0.417719503
## 948           Low                          1.074766568
## 949          High                          4.423348081
## 950           Low                          1.300087080
## 951          High                          1.523176874
## 952          High                          1.523176874
## 953           Low                          0.368640855
## 954           Low                          0.368640855
## 955          High                          0.351961457
## 956          High                          0.205793078
## 957           Low                          2.705553947
## 958          High                          0.953130962
## 959           Low                          2.527081871
## 960          High                          0.819277477
## 961           Low                          0.791443245
## 962          High                          0.930822035
## 963           Low                          0.707733092
## 964          High                          1.188542243
## 965           Low                          0.150027324
## 966           Low                          0.368640855
## 967           Low                          0.519275673
## 968          High                          0.484645323
## 969          High                          2.527081871
## 970          High                          0.819277477
## 971          High                          2.527081871
## 972           Low                          0.819277477
## 973           Low                          0.581740156
## 974           Low                          0.599587180
## 975           Low                          0.965452758
## 976           Low                          0.752350820
## 977           Low                          2.705553947
## 978          High                          0.082057488
## 979          High                          0.385424060
## 980          High                          1.411631960
## 981          High                          4.423348081
## 982          High                          2.750171967
## 983           Low                          0.640806583
## 984          High                          4.423348081
## 985          High                          2.750171967
## 986          High                          1.351397720
## 987           Low                          1.188542243
## 988          High                          0.150027324
## 989           Low                          0.519275673
## 990          High                          0.484645323
## 991           Low                          0.368640855
## 992           Low                          0.791443245
## 993           Low                          0.395410989
## 994          High                          3.391483925
## 995           Low                          0.819277477
## 996          High                          2.660935926
## 997          High                          0.385424060
## 998          High                          0.018582705
## 999          High                          0.396578297
## 1000          Low                          3.391483925
## 1001          Low                          1.857811755
## 1002         High                          0.296190916
## 1003         High                          0.396578297
## 1004         High                          0.041945205
## 1005          Low                          0.965452758
## 1006          Low                          0.596188979
## 1007          Low                          1.351397720
## 1008          Low                          3.865622660
## 1009          Low                          1.188542243
## 1010         High                          0.619665097
## 1011         High                          1.253706731
## 1012         High                          0.372098658
## 1013          Low                          0.853908158
## 1014         High                          0.261561731
## 1015         High                          0.150027324
## 1016          Low                          0.551571446
## 1017          Low                          0.261561731
## 1018         High                          0.675385266
## 1019          Low                          1.300087080
## 1020         High                          0.038554888
## 1021         High                          0.619665097
## 1022         High                          0.712194863
## 1023          Low                          0.181255630
## 1024         High                          1.369244902
## 1025          Low                          0.910744005
## 1026         High                          0.460046154
## 1027          Low                          0.143335789
## 1028         High                          0.296190916
## 1029         High                          0.407732548
## 1030         High                          0.428873779
## 1031         High                          0.921838805
## 1032         High                          0.258267446
## 1033         High                          0.819277477
## 1034         High                          0.173500286
## 1035          Low                          0.822720313
## 1036          Low                          0.963839249
## 1037          Low                          0.150027324
## 1038          Low                          0.150027324
## 1039          Low                          0.551571446
## 1040         High                          0.038554888
## 1041          Low                          0.619665097
## 1042          Low                          0.730041951
## 1043          Low                          0.373102537
## 1044         High                          2.440076739
## 1045         High                          0.941976498
## 1046         High                          0.742363712
## 1047          Low                          0.006744347
## 1048         High                          0.519275673
## 1049         High                          0.484645323
## 1050         High                          0.328485864
## 1051         High                          1.411631960
## 1052          Low                          0.073139478
## 1053          Low                          1.300087080
## 1054         High                          1.300087080
## 1055          Low                          1.074766568
## 1056         High                          0.707733092
## 1057          Low                          0.328485864
## 1058         High                          0.428873779
## 1059          Low                          0.819277477
## 1060         High                          0.930822035
## 1061          Low                          3.196352211
## 1062          Low                          0.028601871
## 1063          Low                          1.143924323
## 1064         High                          0.685424244
## 1065          Low                          0.930822035
## 1066         High                          0.768139676
## 1067          Low                          2.466847548
## 1068         High                          0.256036671
## 1069          Low                          1.837733657
## 1070         High                          0.742363712
## 1071          Low                          0.819277477
## 1072          Low                          1.478335815
## 1073          Low                          0.547778960
## 1074          Low                          1.634721814
## 1075          Low                          1.076997463
## 1076         High                          0.396578297
## 1077          Low                          0.073139478
## 1078          Low                          0.930822035
## 1079          Low                          0.581740156
## 1080         High                          0.261561731
## 1081         High                          0.173968717
## 1082          Low                          0.220560425
## 1083          Low                          0.296190916
## 1084          Low                          0.373102537
## 1085          Low                          0.112496881
## 1086         High                          1.143924323
## 1087         High                          0.685424244
## 1088         High                          0.269421353
## 1089          Low                          0.712194863
## 1090         High                          2.527081871
## 1091          Low                          0.296190916
## 1092         High                          0.707733092
## 1093         High                          0.172333097
## 1094         High                          0.150027324
## 1095          Low                          0.764672586
## 1096         High                          0.150027324
## 1097         High                          0.791443245
## 1098         High                          1.969356749
## 1099          Low                          0.373102537
## 1100         High                          1.039072253
## 1101          Low                          0.696578667
## 1102          Low                          0.791443245
## 1103          Low                          0.140041938
## 1104          Low                          2.660935926
## 1105          Low                          0.150027324
## 1106          Low                          0.581740156
## 1107          Low                          1.143924323
## 1108         High                          0.239254052
## 1109         High                          0.440028067
## 1110         High                          0.819277477
## 1111          Low                          0.581740156
## 1112          Low                          2.660935926
## 1113          Low                          0.385424060
## 1114         High                          0.484645323
## 1115         High                          0.296190916
## 1116         High                          0.261561731
## 1117          Low                          0.038554888
## 1118          Low                          0.138562564
## 1119          Low                          0.296190916
## 1120         High                          0.819277477
## 1121         High                          0.484697207
## 1122         High                          0.783583251
## 1123          Low                          3.062498132
## 1124         High                          0.618497773
## 1125          Low                          0.707733092
## 1126          Low                          0.814867582
## 1127          Low                          0.679289312
## 1128          Low                          0.742363712
## 1129          Low                          0.596188979
## 1130          Low                          0.417719503
## 1131          Low                          1.300087080
## 1132         High                          0.038554888
## 1133         High                          0.506954003
## 1134         High                          1.857811755
## 1135          Low                          1.014532417
## 1136          Low                          4.088712824
## 1137          Low                          0.742363712
## 1138          Low                          0.707733092
## 1139          Low                          0.190178265
## 1140         High                          1.411631960
## 1141         High                          0.385424060
## 1142         High                          0.819277477
## 1143         High                          1.411631960
## 1144         High                          2.080901755
## 1145          Low                          1.188542243
## 1146          Low                          0.653128318
## 1147          Low                          0.060828063
## 1148          Low                          0.117738011
## 1149          Low                          0.506954003
## 1150         High                          0.742363712
## 1151         High                          0.596188979
## 1152         High                          0.853908158
## 1153          Low                          0.676500707
## 1154          Low                          2.466847548
## 1155          Low                          0.256036671
## 1156          Low                          0.117738011
## 1157         High                          0.506954003
## 1158          Low                          0.417719503
## 1159         High                          0.396578297
## 1160          Low                          1.488151768
## 1161         High                          0.581293980
## 1162          Low                          0.073139478
## 1163          Low                          0.774659698
## 1164          Low                          1.764113971
## 1165         High                          0.473490995
## 1166         High                          0.140041938
## 1167         High                          0.150027324
## 1168          Low                          0.819277477
## 1169         High                          0.150027324
## 1170          Low                          0.791443245
## 1171          Low                          1.500867889
## 1172          Low                          0.296190916
## 1173         High                          1.634721814
## 1174         High                          0.117738011
## 1175         High                          1.908899360
## 1176         High                          0.387067620
## 1177          Low                          0.184653486
## 1178          Low                          0.396578297
## 1179          Low                          0.116570996
## 1180          Low                          0.396578297
## 1181         High                          0.150027324
## 1182         High                          0.551571446
## 1183          Low                          0.819277477
## 1184          Low                          1.422786450
## 1185         High                          0.448951506
## 1186         High                          1.355859516
## 1187         High                          0.324024217
## 1188          Low                          1.355859516
## 1189         High                          0.324024217
## 1190          Low                          0.815759937
## 1191         High                          0.889602416
## 1192          Low                          0.396578297
## 1193          Low                          0.742363712
## 1194          Low                          0.398809146
## 1195         High                          0.036329989
## 1196          Low                          0.150027324
## 1197         High                          0.819277477
## 1198          Low                          1.634721814
## 1199          Low                          0.596188979
## 1200         High                          0.819277477
## 1201         High                          0.402155420
## 1202         High                          0.740080941
## 1203          Low                          0.819277477
## 1204         High                          0.819277477
## 1205         High                          0.296190916
## 1206         High                          0.965452758
## 1207          Low                          0.261561731
## 1208          Low                          0.819277477
## 1209          Low                          0.465980249
## 1210         High                          0.261561731
## 1211         High                          0.373102537
## 1212         High                          0.941976498
## 1213          Low                          0.396578297
## 1214          Low                          1.531208109
## 1215          Low                          0.581740156
## 1216          Low                          0.373102537
## 1217          Low                          2.529424317
## 1218         High                          0.794960784
## 1219          Low                          0.688822454
## 1220          Low                          0.930822035
## 1221          Low                          0.038554888
## 1222         High                          0.519275673
## 1223         High                          1.411631960
## 1224         High                          0.297254438
## 1225         High                          0.630819500
## 1226          Low                          0.752350820
## 1227          Low                          0.446229425
## 1228          Low                          1.217049852
## 1229          Low                          0.340807296
## 1230         High                          0.018582705
## 1231         High                          0.396578297
## 1232         High                          2.884026034
## 1233         High                          0.340807296
## 1234         High                          3.196352211
## 1235         High                          0.028601871
## 1236         High                          0.073139478
## 1237         High                          0.373102537
## 1238         High                          0.150027324
## 1239         High                          0.551571446
## 1240         High                          0.819277477
## 1241          Low                          0.930822035
## 1242          Low                          0.930822035
## 1243          Low                          0.396578297
## 1244          Low                          0.819277477
## 1245          Low                          1.355859516
## 1246          Low                          0.324024217
## 1247          Low                          3.185197705
## 1248         High                          1.848888156
## 1249         High                          0.853908158
## 1250          Low                          0.676500707
## 1251          Low                          0.073139478
## 1252          Low                          0.373102537
## 1253          Low                          0.018582705
## 1254         High                          0.396578297
## 1255          Low                          0.396578297
## 1256         High                          0.908513112
## 1257          Low                          0.883973304
## 1258          Low                          1.567794847
## 1259          Low                          0.229267561
## 1260          Low                          0.707733092
## 1261          Low                          1.422786450
## 1262         High                          0.448951506
## 1263          Low                          0.272715653
## 1264         High                          0.960957702
## 1265          Low                          0.576528362
## 1266          Low                          1.634721814
## 1267          Low                          0.853908158
## 1268          Low                          0.889602416
## 1269          Low                          0.398809146
## 1270         High                          3.419442352
## 1271          Low                          0.563893143
## 1272         High                          0.599587180
## 1273          Low                          0.738965498
## 1274         High                          2.727862957
## 1275          Low                          0.889602416
## 1276         High                          2.595124348
## 1277          Low                          0.348615206
## 1278         High                          0.038554888
## 1279          Low                          0.472427446
## 1280          Low                          0.631883057
## 1281          Low                          2.595124348
## 1282         High                          0.348615206
## 1283          Low                          4.423348081
## 1284         High                          0.296190916
## 1285          Low                          1.217543896
## 1286         High                          0.562755396
## 1287         High                          0.324024217
## 1288         High                          1.478558905
## 1289         High                          1.188542243
## 1290         High                          3.196352211
## 1291          Low                          0.385424060
## 1292          Low                          0.150027324
## 1293          Low                          0.596188979
## 1294         High                          0.153425006
## 1295          Low                          0.865062612
## 1296          Low                          3.154701283
## 1297         High                          0.714589177
## 1298          Low                          1.430148414
## 1299         High                          0.967185588
## 1300          Low                          1.634721814
## 1301          Low                          0.596188979
## 1302          Low                          0.374269841
## 1303          Low                          0.451182367
## 1304          Low                          0.150027324
## 1305         High                          0.551571446
## 1306         High                          0.930822035
## 1307         High                          0.141105303
## 1308         High                          0.856087165
## 1309         High                          0.650845552
## 1310         High                          2.727862957
## 1311         High                          0.128889754
## 1312         High                          0.930822035
## 1313          Low                          0.396578297
## 1314          Low                          0.073139478
## 1315         High                          0.373102537
## 1316         High                          0.707733092
## 1317         High                          0.396578297
## 1318         High                          0.373102537
## 1319         High                          0.943143828
## 1320         High                          0.117738011
## 1321          Low                          0.506954003
## 1322          Low                          0.116570996
## 1323          Low                          0.827137475
## 1324          Low                          0.326255040
## 1325          Low                          1.607951026
## 1326          Low                          0.278344514
## 1327         High                          0.038554888
## 1328          Low                          0.863895283
## 1329         High                          0.153425006
## 1330          Low                          0.244830949
## 1331         High                          1.576718442
## 1332          Low                          0.151194466
## 1333         High                          0.939931343
## 1334          Low                          0.941084141
## 1335          Low                          0.373102537
## 1336          Low                          0.707733092
## 1337         High                          0.373102537
## 1338          Low                          0.805892140
## 1339         High                          0.239254052
## 1340         High                          0.774659698
## 1341         High                          0.296190916
## 1342          Low                          0.853908158
## 1343         High                          0.311576247
## 1344          Low                          1.300087080
## 1345         High                          0.184475033
## 1346          Low                          0.604048938
## 1347         High                          0.143335789
## 1348          Low                          0.930822035
## 1349         High                          4.211412417
## 1350          Low                          1.418324654
## 1351         High                          1.422786450
## 1352          Low                          0.448951506
## 1353          Low                          1.685340915
## 1354          Low                          0.983232978
## 1355          Low                          0.883973304
## 1356          Low                          0.038554888
## 1357          Low                          0.930822035
## 1358          Low                          0.184653486
## 1359         High                          0.707733092
## 1360          Low                          0.038554888
## 1361          Low                          0.930822035
## 1362          Low                          0.620728653
## 1363         High                          0.511415743
## 1364         High                          0.853908158
## 1365         High                          0.421117667
## 1366         High                          0.653730656
## 1367         High                          2.736786561
## 1368         High                          0.616266893
## 1369          Low                          0.276061839
## 1370          Low                          0.889602416
## 1371         High                          0.150027324
## 1372          Low                          0.551571446
## 1373         High                          1.679339796
## 1374         High                          0.016379571
## 1375          Low                          0.038554888
## 1376          Low                          0.261561731
## 1377         High                          1.014532417
## 1378         High                          1.813193761
## 1379          Low                          0.745658159
## 1380          Low                          0.653128318
## 1381          Low                          0.060828063
## 1382          Low                          0.073139478
## 1383          Low                          0.930822035
## 1384          Low                          0.707733092
## 1385         High                          0.876217068
## 1386         High                          0.596188979
## 1387         High                          0.269421353
## 1388          Low                          0.965452758
## 1389         High                          0.206960310
## 1390         High                          0.116570996
## 1391         High                          0.519275673
## 1392         High                          4.423348081
## 1393         High                          1.300087080
## 1394          Low                          0.853908158
## 1395          Low                          0.261561731
## 1396          Low                          0.519275673
## 1397         High                          0.779121474
## 1398          Low                          0.875049738
## 1399          Low                          1.188542243
## 1400          Low                          0.524800968
## 1401         High                          1.054688515
## 1402         High                          0.239254052
## 1403         High                          0.475721860
## 1404         High                          0.141105303
## 1405         High                          0.018582705
## 1406          Low                          0.930822035
## 1407          Low                          3.196352211
## 1408          Low                          0.385424060
## 1409         High                          0.395410989
## 1410         High                          0.417719503
## 1411         High                          0.865062612
## 1412          Low                          0.819277477
## 1413         High                          0.876217068
## 1414          Low                          0.551571446
## 1415          Low                          0.296190916
## 1416          Low                          0.819277477
## 1417          Low                          0.184653486
## 1418          Low                          0.596188979
## 1419         High                          0.730041951
## 1420         High                          0.596188979
## 1421         High                          0.930822035
## 1422          Low                          1.175156866
## 1423          Low                          3.185197705
## 1424          Low                          1.848888156
## 1425         High                          0.396578297
## 1426         High                          0.965452758
## 1427         High                          0.150027324
## 1428         High                          0.506954003
## 1429         High                          0.395410989
## 1430          Low                          3.046881823
## 1431         High                          0.045233131
## 1432          Low                          0.930822035
## 1433         High                          0.373102537
## 1434          Low                          0.519275673
## 1435         High                          0.345217075
## 1436          Low                          0.184653486
## 1437         High                          0.018582705
## 1438          Low                          0.164577854
## 1439         High                          0.767967034
## 1440         High                          0.073139478
## 1441         High                          1.188542243
## 1442          Low                          0.657538199
## 1443         High                          0.563893143
## 1444          Low                          0.373102537
## 1445         High                          0.171269666
## 1446         High                          0.396578297
## 1447         High                          0.283869622
## 1448          Low                          0.774659698
## 1449         High                          0.937514713
## 1450          Low                          0.296190916
## 1451          Low                          0.596188979
## 1452          Low                          1.764113971
## 1453         High                          0.212485208
## 1454         High                          0.786981468
## 1455         High                          1.411631960
## 1456         High                          0.073139478
## 1457         High                          2.177053559
## 1458         High                          0.750343022
## 1459         High                          3.062498132
## 1460          Low                          0.618497773
## 1461         High                          0.396578297
## 1462          Low                          2.727862957
## 1463         High                          1.351397720
## 1464          Low                          0.590886754
## 1465         High                          0.296190916
## 1466         High                          0.889602416
## 1467         High                          0.853908158
## 1468         High                          0.676500707
## 1469          Low                          1.411631960
## 1470          Low                          0.239254052
## 1471          Low                          1.041303148
## 1472         High                          0.924129358
## 1473          Low                          1.367014004
## 1474          Low                          0.841586377
## 1475          Low                          0.675385266
## 1476          Low                          0.038554888
## 1477          Low                          0.653128318
## 1478         High                          0.060828063
## 1479          Low                          2.527081871
## 1480          Low                          0.296190916
## 1481          Low                          0.965452758
## 1482         High                          0.206960310
## 1483          Low                          0.117738011
## 1484         High                          0.506954003
## 1485          Low                          0.853908158
## 1486         High                          0.759043483
## 1487          Low                          0.117738011
## 1488         High                          0.506954003
## 1489          Low                          0.596188979
## 1490         High                          0.396578297
## 1491         High                          1.369244902
## 1492         High                          0.910744005
## 1493          Low                          0.296190916
## 1494         High                          0.930822035
## 1495          Low                          0.965452758
## 1496         High                          0.060828063
## 1497          Low                          1.846657256
## 1498          Low                          0.448951506
## 1499          Low                          2.426691335
## 1500         High                          0.480183591
## 1501          Low                          0.889602416
## 1502          Low                          1.076997463
## 1503          Low                          0.150027324
## 1504         High                          0.953130962
## 1505          Low                          0.581309023
## 1506         High                          0.395410989
## 1507          Low                          0.865062612
## 1508         High                          2.620779709
## 1509          Low                          0.288331221
## 1510          Low                          0.112496881
## 1511          Low                          0.306177677
## 1512         High                          0.596188979
## 1513         High                          1.598670487
## 1514          Low                          0.750119933
## 1515          Low                          0.417719503
## 1516          Low                          0.904051329
## 1517          Low                          0.891833308
## 1518         High                          4.088712824
## 1519          Low                          1.300087080
## 1520         High                          0.484697207
## 1521          Low                          0.783583251
## 1522         High                          3.847106177
## 1523         High                          2.426468244
## 1524         High                          1.478558905
## 1525         High                          0.551571446
## 1526         High                          0.506954003
## 1527          Low                          3.847106177
## 1528          Low                          2.426468244
## 1529          Low                          0.910744005
## 1530         High                          3.046881823
## 1531         High                          0.045233131
## 1532          Low                          0.819277477
## 1533          Low                          1.355859516
## 1534         High                          0.324024217
## 1535          Low                          0.269421353
## 1536         High                          0.291677424
## 1537         High                          0.038554888
## 1538         High                          0.596188979
## 1539          Low                          2.080901755
## 1540         High                          0.296190916
## 1541         High                          1.369244902
## 1542         High                          0.910744005
## 1543          Low                          0.742363712
## 1544         High                          0.261561731
## 1545          Low                          0.261561731
## 1546         High                          0.819277477
## 1547          Low                          0.930822035
## 1548         High                          0.819277477
## 1549          Low                          0.819277477
## 1550         High                          0.519275673
## 1551          Low                          0.373102537
## 1552         High                          0.596188979
## 1553         High                          0.742363712
## 1554         High                          0.038554888
## 1555          Low                          0.094269618
## 1556          Low                          0.485812640
## 1557          Low                          0.484645323
## 1558         High                          0.908513112
## 1559         High                          0.853908158
## 1560         High                          0.676500707
## 1561         High                          2.527081871
## 1562         High                          0.418886813
## 1563         High                          0.150027324
## 1564         High                          0.396578297
## 1565         High                          1.478335815
## 1566         High                          0.547778960
## 1567          Low                          0.653128318
## 1568         High                          0.060828063
## 1569          Low                          0.373102537
## 1570         High                          2.527081871
## 1571         High                          0.596188979
## 1572         High                          0.596188979
## 1573          Low                          1.746266776
## 1574         High                          0.752350820
## 1575          Low                          0.965452758
## 1576         High                          0.752350820
## 1577         High                          0.842753706
## 1578          Low                          0.930822035
## 1579          Low                          0.914142227
## 1580         High                          0.711391744
## 1581         High                          0.484645323
## 1582          Low                          0.496966977
## 1583          Low                          0.018582705
## 1584         High                          4.088712824
## 1585          Low                          2.527081871
## 1586         High                          0.608510697
## 1587         High                          0.730041951
## 1588         High                          0.407732548
## 1589         High                          0.651960993
## 1590         High                          1.523176874
## 1591          Low                          0.194639615
## 1592         High                          0.707733092
## 1593          Low                          0.050853050
## 1594         High                          0.396578297
## 1595          Low                          0.116570996
## 1596         High                          0.361948337
## 1597         High                          0.324024217
## 1598         High                          0.718887521
## 1599          Low                          0.117738011
## 1600         High                          0.853908158
## 1601         High                          0.073139478
## 1602          Low                          0.463503991
## 1603          Low                          0.308408490
## 1604          Low                          1.500867889
## 1605          Low                          0.038554888
## 1606          Low                          0.551571446
## 1607         High                          0.853908158
## 1608          Low                          0.676500707
## 1609         High                          0.883973304
## 1610         High                          0.408796091
## 1611         High                          1.121615367
## 1612         High                          0.370603994
## 1613         High                          0.707733092
## 1614          Low                          1.634721814
## 1615         High                          1.054688515
## 1616          Low                          0.396578297
## 1617         High                          3.196352211
## 1618         High                          0.385424060
## 1619         High                          0.150027324
## 1620          Low                          0.484645323
## 1621          Low                          0.018582705
## 1622          Low                          0.433112407
## 1623         High                          2.466847548
## 1624         High                          0.256036671
## 1625         High                          0.440028067
## 1626          Low                          0.819277477
## 1627          Low                          0.261561731
## 1628          Low                          3.084807145
## 1629         High                          0.350794157
## 1630         High                          0.150027324
## 1631          Low                          1.746266776
## 1632          Low                          0.328485864
## 1633         High                          0.689662924
## 1634         High                          0.578341956
## 1635          Low                          0.483581774
## 1636          Low                          0.650845552
## 1637         High                          1.199696725
## 1638          Low                          0.421117667
## 1639         High                          1.980511249
## 1640          Low                          0.430041091
## 1641         High                          0.358653963
## 1642         High                          0.730041951
## 1643         High                          0.920834903
## 1644          Low                          0.150027324
## 1645         High                          0.261561731
## 1646          Low                          0.707733092
## 1647         High                          0.465980249
## 1648          Low                          1.143924323
## 1649         High                          0.239254052
## 1650          Low                          0.117738011
## 1651         High                          0.184653486
## 1652         High                          0.396578297
## 1653         High                          0.349730623
## 1654          Low                          0.881742412
## 1655          Low                          0.261561731
## 1656          Low                          1.143924323
## 1657         High                          0.239254052
## 1658         High                          1.166233282
## 1659          Low                          0.239254052
## 1660          Low                          0.396578297
## 1661          Low                          1.188542243
## 1662          Low                          0.663115407
## 1663         High                          0.484645323
## 1664         High                          0.965452758
## 1665         High                          0.206960310
## 1666         High                          1.909122450
## 1667         High                          0.804828579
## 1668          Low                          0.428873779
## 1669         High                          0.311754713
## 1670         High                          0.471260131
## 1671         High                          0.117738011
## 1672          Low                          0.506954003
## 1673         High                          0.930822035
## 1674          Low                          0.889602416
## 1675         High                          0.018582705
## 1676         High                          3.232938994
## 1677         High                          1.806947242
## 1678         High                          2.103210758
## 1679         High                          0.127722686
## 1680         High                          0.465980249
## 1681         High                          0.853908158
## 1682          Low                          0.417719503
## 1683         High                          2.094287157
## 1684         High                          0.627421295
## 1685         High                          0.296190916
## 1686         High                          2.165229787
## 1687         High                          0.709792773
## 1688         High                          0.183486280
## 1689         High                          3.046881823
## 1690         High                          0.045233131
## 1691         High                          1.369244902
## 1692          Low                          0.910744005
## 1693         High                          0.038554888
## 1694          Low                          0.418886813
## 1695         High                          0.116570996
## 1696         High                          0.117738011
## 1697         High                          0.506954003
## 1698         High                          0.573880202
## 1699         High                          1.351397720
## 1700          Low                          0.930822035
## 1701         High                          0.296190916
## 1702          Low                          0.596188979
## 1703          Low                          0.398809146
## 1704          Low                          2.051900052
## 1705         High                          0.611805133
## 1706          Low                          0.150027324
## 1707         High                          1.143924323
## 1708         High                          0.239254052
## 1709          Low                          0.965452758
## 1710          Low                          0.261561731
## 1711          Low                          1.478335815
## 1712          Low                          0.547778960
## 1713         High                          0.083120467
## 1714          Low                          1.478558905
## 1715         High                          0.327593534
## 1716         High                          2.756195400
## 1717         High                          1.168017999
## 1718         High                          1.478558905
## 1719         High                          0.327593534
## 1720         High                          0.865062612
## 1721          Low                          0.917488565
## 1722          Low                          0.138874829
## 1723         High                          0.273882930
## 1724          Low                          0.618497773
## 1725          Low                          3.642532502
## 1726          Low                          1.188542243
## 1727         High                          0.596188979
## 1728          Low                          0.930822035
## 1729         High                          0.283869622
## 1730         High                          1.976049449
## 1731         High                          0.071972978
## 1732          Low                          1.411631960
## 1733          Low                          0.853908158
## 1734          Low                          0.276061839
## 1735          Low                          2.171253218
## 1736          Low                          0.157886117
## 1737          Low                          2.527081871
## 1738         High                          0.296190916
## 1739          Low                          1.032134172
## 1740         High                          0.396578297
## 1741          Low                          0.883973304
## 1742         High                          0.396578297
## 1743          Low                          0.408796091
## 1744         High                          0.418886813
## 1745         High                          0.883973304
## 1746         High                          1.355859516
## 1747         High                          0.324024217
## 1748          Low                          0.117738011
## 1749          Low                          0.408796091
## 1750          Low                          0.807007585
## 1751          Low                          0.150027324
## 1752         High                          0.551571446
## 1753         High                          0.889602416
## 1754         High                          0.883973304
## 1755          Low                          0.261561731
## 1756          Low                          0.883973304
## 1757          Low                          0.408796091
## 1758         High                          0.269421353
## 1759          Low                          0.805892140
## 1760         High                          0.083120467
## 1761          Low                          0.428873779
## 1762          Low                          0.261561731
## 1763          Low                          1.166233282
## 1764         High                          0.841586377
## 1765         High                          0.038554888
## 1766         High                          0.358653963
## 1767         High                          0.116570996
## 1768         High                          0.016379571
## 1769         High                          0.038554888
## 1770         High                          0.206960310
## 1771         High                          0.407732548
## 1772         High                          0.819277477
## 1773          Low                          0.889602416
## 1774         High                          0.853908158
## 1775         High                          0.676500707
## 1776         High                          0.791443245
## 1777         High                          0.150027324
## 1778         High                          0.484645323
## 1779         High                          1.344705028
## 1780         High                          0.930822035
## 1781          Low                          0.396578297
## 1782          Low                          2.466847548
## 1783          Low                          0.256036671
## 1784         High                          0.324024217
## 1785          Low                          0.396578297
## 1786         High                          1.277778109
## 1787         High                          0.663115407
## 1788         High                          0.650845552
## 1789          Low                          0.596188979
## 1790         High                          2.103210758
## 1791         High                          0.127722686
## 1792         High                          2.094287157
## 1793          Low                          0.627421295
## 1794         High                          2.868409726
## 1795         High                          0.523737416
## 1796         High                          0.216946648
## 1797          Low                          0.038554888
## 1798         High                          1.411631960
## 1799         High                          0.596188979
## 1800          Low                          0.078661233
## 1801          Low                          0.038554888
## 1802         High                          0.930822035
## 1803          Low                          0.819277477
## 1804         High                          0.373102537
## 1805          Low                          0.349678740
## 1806         High                          0.006744347
## 1807          Low                          0.216946648
## 1808          Low                          0.296190916
## 1809          Low                          0.596188979
## 1810         High                          1.217543896
## 1811         High                          0.038554888
## 1812          Low                          0.774659698
## 1813          Low                          2.259373786
## 1814         High                          0.596188979
## 1815         High                          0.067566473
## 1816         High                          0.930822035
## 1817         High                          0.865062612
## 1818         High                          3.847106177
## 1819          Low                          2.756195400
## 1820          Low                          1.456249922
## 1821          Low                          1.355859516
## 1822         High                          0.324024217
## 1823          Low                          0.908513112
## 1824         High                          0.396578297
## 1825         High                          1.924738750
## 1826         High                          0.451182367
## 1827          Low                          0.150027324
## 1828          Low                          0.819277477
## 1829         High                          0.283869622
## 1830          Low                          0.581740156
## 1831          Low                          1.355859516
## 1832          Low                          0.324024217
## 1833         High                          0.067566473
## 1834          Low                          0.073139478
## 1835         High                          0.939351311
## 1836          Low                          0.850733028
## 1837         High                          0.138562564
## 1838         High                          0.742363712
## 1839          Low                          0.373102537
## 1840          Low                          0.395410989
## 1841          Low                          0.138562564
## 1842          Low                          1.351397720
## 1843         High                          0.418886813
## 1844         High                          0.596188979
## 1845          Low                          0.930822035
## 1846          Low                          1.143924323
## 1847          Low                          0.685424244
## 1848          Low                          0.396578297
## 1849          Low                          0.396578297
## 1850          Low                          0.596188979
## 1851         High                          1.500867889
## 1852          Low                          0.296190916
## 1853         High                          0.920834903
## 1854         High                          1.039072253
## 1855         High                          0.696578667
## 1856          Low                          0.073139478
## 1857          Low                          0.273882930
## 1858          Low                          0.551571446
## 1859         High                          0.474658311
## 1860         High                          1.188542243
## 1861         High                          1.155748071
## 1862          Low                          0.707733092
## 1863         High                          0.395410989
## 1864         High                          0.073139478
## 1865         High                          0.819277477
## 1866         High                          0.714425749
## 1867         High                          1.031487213
## 1868          Low                          0.453413228
## 1869         High                          0.685424244
## 1870          Low                          0.140041938
## 1871         High                          0.073139478
## 1872         High                          0.418552185
## 1873         High                          0.672931293
## 1874         High                          0.965452758
## 1875          Low                          0.261561731
## 1876          Low                          0.532660904
## 1877         High                          1.746266776
## 1878         High                          0.752350820
## 1879         High                          1.634721814
## 1880          Low                          0.373102537
## 1881         High                          0.650845552
## 1882          Low                          0.853908158
## 1883         High                          0.676500707
## 1884          Low                          0.819277477
## 1885         High                          0.853908158
## 1886         High                          0.676500707
## 1887         High                          0.950900069
## 1888          Low                          0.018582705
## 1889         High                          0.216946648
## 1890         High                          0.930822035
## 1891         High                          0.153425006
## 1892         High                          0.506954003
## 1893         High                          0.073139478
## 1894         High                          3.046881823
## 1895         High                          0.045233131
## 1896          Low                          0.150027324
## 1897         High                          0.819277477
## 1898          Low                          1.233160172
## 1899         High                          1.607951026
## 1900         High                          0.278344514
## 1901         High                          0.318499048
## 1902         High                          0.519275673
## 1903         High                          0.484645323
## 1904          Low                          0.018582705
## 1905         High                          0.373102537
## 1906          Low                          0.485812640
## 1907         High                          0.484645323
## 1908         High                          0.395410989
## 1909          Low                          0.018582705
## 1910          Low                          0.853908158
## 1911         High                          0.676500707
## 1912          Low                          2.727862957
## 1913         High                          0.853908158
## 1914         High                          0.676500707
## 1915         High                          0.396578297
## 1916          Low                          0.018582705
## 1917         High                          3.046881823
## 1918         High                          0.045233131
## 1919          Low                          1.355859516
## 1920          Low                          0.324024217
## 1921         High                          0.396578297
## 1922         High                          0.138562564
## 1923         High                          0.930822035
## 1924          Low                          0.138562564
## 1925         High                          0.153425006
## 1926          Low                          0.630819500
## 1927         High                          0.819277477
## 1928          Low                          1.355859516
## 1929          Low                          0.324024217
## 1930          Low                          0.396578297
## 1931          Low                          0.395410989
## 1932          Low                          0.396578297
## 1933         High                          1.143924323
## 1934          Low                          0.306177677
## 1935         High                          0.853908158
## 1936          Low                          0.676500707
## 1937          Low                          0.396578297
## 1938          Low                          0.853908158
## 1939         High                          0.676500707
## 1940         High                          0.018582705
## 1941         High                          0.425244750
## 1942          Low                          2.515927367
## 1943         High                          1.302317978
## 1944          Low                          0.738965498
## 1945          Low                          2.303991798
## 1946          Low                          0.876217068
## 1947         High                          0.791443245
## 1948          Low                          0.573880202
## 1949         High                          0.796968584
## 1950         High                          0.619665097
## 1951         High                          0.819277477
## 1952          Low                          0.819277477
## 1953          Low                          2.042976452
## 1954          Low                          0.423348522
## 1955         High                          0.018582705
## 1956          Low                          0.433112407
## 1957         High                          1.634721814
## 1958         High                          0.551571446
## 1959         High                          0.865062612
## 1960          Low                          0.853908158
## 1961         High                          0.676500707
## 1962         High                          0.216946648
## 1963          Low                          0.162347266
## 1964          Low                          0.573880202
## 1965          Low                          0.039667589
## 1966          Low                          0.183486280
## 1967         High                          0.050853050
## 1968          Low                          0.616489981
## 1969          Low                          0.839890900
## 1970          Low                          0.117738011
## 1971         High                          0.506954003
## 1972         High                          0.261561731
## 1973         High                          0.175619381
## 1974         High                          0.640806583
## 1975         High                          1.199696725
## 1976         High                          0.581740156
## 1977         High                          1.576718442
## 1978          Low                          0.151194466
## 1979         High                          2.638626917
## 1980          Low                          1.300087080
## 1981         High                          0.418552185
## 1982         High                          0.672931293
## 1983         High                          0.417719503
## 1984          Low                          1.634721814
## 1985         High                          0.261561731
## 1986          Low                          0.563893143
## 1987         High                          0.216946648
## 1988          Low                          0.506954003
## 1989         High                          0.018582705
## 1990         High                          1.369244902
## 1991          Low                          0.910744005
## 1992          Low                          0.863895283
## 1993         High                          1.369244902
## 1994         High                          0.910744005
## 1995         High                          0.707733092
## 1996          Low                          0.697745993
## 1997         High                          1.085921043
## 1998         High                          0.766293868
## 1999          Low                          1.933662349
## 2000          Low                          0.100959677
## 2001         High                          0.596188979
## 2002         High                          2.192446772
## 2003         High                          0.730041951
## 2004          Low                          0.742363712
## 2005          Low                          0.373102537
## 2006          Low                          0.272715653
## 2007          Low                          0.853908158
## 2008          Low                          0.296190916
## 2009          Low                          0.150027324
## 2010          Low                          1.411631960
## 2011          Low                          1.969356749
## 2012          Low                          0.296190916
## 2013          Low                          1.969356749
## 2014          Low                          0.296190916
## 2015          Low                          1.607951026
## 2016          Low                          0.278344514
## 2017          Low                          0.216946648
## 2018          Low                          0.998916160
## 2019          Low                          2.515927367
## 2020          Low                          1.402708369
## 2021         High                          0.038554888
## 2022          Low                          0.153425006
## 2023          Low                          1.199696725
## 2024          Low                          2.460154846
## 2025         High                          1.793115665
## 2026         High                          0.435566351
## 2027         High                          0.340807296
## 2028          Low                          0.276061839
## 2029         High                          1.607951026
## 2030         High                          0.278344514
## 2031          Low                          0.039719350
## 2032          Low                          0.798507897
## 2033          Low                          0.969862660
## 2034          Low                          3.196352211
## 2035         High                          0.385424060
## 2036          Low                          1.355859516
## 2037          Low                          0.324024217
## 2038          Low                          0.296190916
## 2039         High                          0.596188979
## 2040          Low                          0.421117667
## 2041         High                          3.062498132
## 2042          Low                          0.618497773
## 2043          Low                          0.987761691
## 2044          Low                          0.657538199
## 2045          Low                          1.188542243
## 2046          Low                          0.657538199
## 2047         High                          1.010070629
## 2048          Low                          0.930822035
## 2049          Low                          2.020667450
## 2050          Low                          0.592894545
## 2051         High                          0.150027324
## 2052         High                          0.496966977
## 2053         High                          1.634721814
## 2054         High                          0.496966977
## 2055          Low                          0.055257058
## 2056          Low                          0.428873779
## 2057          Low                          0.965452758
## 2058          Low                          0.261561731
## 2059          Low                          0.720226052
## 2060          Low                          0.889602416
## 2061          Low                          0.395410989
## 2062          Low                          0.349678740
## 2063         High                          0.865062612
## 2064         High                          0.889602416
## 2065         High                          0.551571446
## 2066          Low                          0.819277477
## 2067         High                          1.478558905
## 2068         High                          0.676500707
## 2069         High                          2.527081871
## 2070         High                          1.076997463
## 2071         High                          0.811521247
## 2072          Low                          0.310639305
## 2073         High                          0.150027324
## 2074          Low                          0.766293868
## 2075          Low                          0.083120467
## 2076          Low                          0.018582705
## 2077         High                          1.606835577
## 2078          Low                          0.317331756
## 2079          Low                          1.500867889
## 2080          Low                          0.296190916
## 2081         High                          0.738965498
## 2082          Low                          0.965452758
## 2083         High                          0.206960310
## 2084          Low                          0.018582705
## 2085          Low                          0.742363712
## 2086          Low                          0.819277477
## 2087          Low                          0.889602416
## 2088          Low                          1.369244902
## 2089          Low                          0.910744005
## 2090         High                          0.707733092
## 2091          Low                          2.248219284
## 2092         High                          0.463503991
## 2093         High                          1.369244902
## 2094         High                          0.910744005
## 2095         High                          1.199696725
## 2096         High                          0.117738011
## 2097          Low                          0.506954003
## 2098         High                          1.846657256
## 2099          Low                          0.448951506
## 2100         High                          0.596188979
## 2101         High                          0.150027324
## 2102         High                          0.003893799
## 2103          Low                          0.596188979
## 2104         High                          0.296190916
## 2105         High                          2.080901755
## 2106          Low                          0.296190916
## 2107          Low                          1.634721814
## 2108         High                          4.399031252
## 2109         High                          2.880679683
## 2110         High                          1.076997463
## 2111         High                          0.385424060
## 2112         High                          1.500867889
## 2113          Low                          0.296190916
## 2114         High                          0.251575127
## 2115         High                          0.507005887
## 2116         High                          0.427535265
## 2117          Low                          0.038554888
## 2118         High                          0.506954003
## 2119          Low                          1.143924323
## 2120         High                          0.830431926
## 2121         High                          1.590103835
## 2122         High                          0.340807296
## 2123         High                          0.003893799
## 2124         High                          0.742363712
## 2125          Low                          0.596188979
## 2126         High                          0.791443245
## 2127         High                          0.920834903
## 2128         High                          0.261561731
## 2129          Low                          0.930822035
## 2130         High                          0.184653486
## 2131          Low                          0.150027324
## 2132          Low                          0.484645323
## 2133          Low                          0.742363712
## 2134          Low                          0.073139478
## 2135          Low                          0.428873779
## 2136          Low                          0.908513112
## 2137         High                          2.051900052
## 2138         High                          0.611805133
## 2139         High                          0.889602416
## 2140          Low                          3.046881823
## 2141          Low                          0.045233131
## 2142          Low                          0.373102537
## 2143         High                          0.454216338
## 2144          Low                          0.930822035
## 2145         High                          0.039667589
## 2146          Low                          0.596188979
## 2147         High                          0.417719503
## 2148         High                          1.411631960
## 2149         High                          0.930822035
## 2150          Low                          0.786981468
## 2151         High                          0.451182367
## 2152         High                          0.421117667
## 2153         High                          0.546046144
## 2154         High                          0.239254052
## 2155         High                          0.965452758
## 2156          Low                          0.296190916
## 2157         High                          0.150027324
## 2158          Low                          0.707733092
## 2159         High                          0.296190916
## 2160         High                          0.646383787
## 2161         High                          0.239254052
## 2162          Low                          0.073139478
## 2163         High                          0.639021877
## 2164         High                          0.105419902
## 2165          Low                          0.819277477
## 2166          Low                          0.345217075
## 2167         High                          1.456249922
## 2168         High                          0.987761691
## 2169          Low                          0.314037411
## 2170          Low                          1.429479144
## 2171         High                          0.435566351
## 2172          Low                          1.429479144
## 2173         High                          0.435566351
## 2174         High                          0.616266893
## 2175          Low                          0.484645323
## 2176          Low                          0.839489340
## 2177         High                          2.303991798
## 2178          Low                          1.355859516
## 2179         High                          0.324024217
## 2180         High                          0.261561731
## 2181         High                          0.853908158
## 2182          Low                          0.676500707
## 2183         High                          1.634721814
## 2184          Low                          0.540417076
## 2185         High                          0.930822035
## 2186         High                          0.421117667
## 2187         High                          0.041945205
## 2188         High                          0.726747506
## 2189         High                          1.014532417
## 2190         High                          0.275070954
## 2191         High                          0.271652141
## 2192          Low                          0.076208782
## 2193         High                          0.396578297
## 2194         High                          4.579511204
## 2195         High                          0.831599255
## 2196         High                          1.032379570
## 2197         High                          0.276069105
## 2198          Low                          0.328485864
## 2199         High                          0.742363712
## 2200         High                          0.819277477
## 2201         High                          0.296190916
## 2202          Low                          0.819277477
## 2203          Low                          0.484697207
## 2204          Low                          0.783583251
## 2205         High                          0.484697207
## 2206         High                          0.783583251
## 2207          Low                          1.209958848
## 2208          Low                          0.314037411
## 2209          Low                          0.117738011
## 2210          Low                          0.506954003
## 2211          Low                          1.411631960
## 2212         High                          0.239254052
## 2213         High                          1.411631960
## 2214         High                          0.373102537
## 2215          Low                          1.411631960
## 2216         High                          0.296190916
## 2217          Low                          0.965452758
## 2218         High                          0.261561731
## 2219          Low                          0.506352259
## 2220         High                          0.428873779
## 2221         High                          3.196352211
## 2222          Low                          0.385424060
## 2223          Low                          0.889602416
## 2224          Low                          3.847106177
## 2225          Low                          2.756195400
## 2226         High                          3.847106177
## 2227          Low                          2.426468244
## 2228         High                          0.182147890
## 2229         High                          0.846048158
## 2230          Low                          2.051900052
## 2231          Low                          0.611805133
## 2232         High                          3.232938994
## 2233         High                          2.165229787
## 2234         High                          0.418745696
## 2235         High                          0.819277477
## 2236         High                          3.232938994
## 2237         High                          1.806947242
## 2238         High                          0.038554888
## 2239         High                          3.232938994
## 2240         High                          2.165229787
## 2241         High                          0.053303632
## 2242         High                          0.273882930
## 2243         High                          0.930822035
## 2244         High                          0.273882930
## 2245          Low                          0.965452758
## 2246         High                          0.373102537
## 2247          Low                          3.232938994
## 2248         High                          2.165229787
## 2249         High                          3.046881823
## 2250         High                          0.045233131
## 2251         High                          0.340807296
## 2252         High                          1.076997463
## 2253         High                          0.296190916
## 2254         High                          3.847106177
## 2255          Low                          2.426468244
## 2256         High                          2.884026034
## 2257         High                          0.340807296
## 2258          Low                          0.182147890
## 2259          Low                          0.846048158
## 2260         High                          0.373102537
## 2261          Low                          0.296190916
## 2262         High                          0.889602416
## 2263          Low                          0.451182367
## 2264         High                          1.355859516
## 2265         High                          0.324024217
## 2266         High                          3.991222422
## 2267         High                          2.880679683
## 2268         High                          0.038554888
## 2269         High                          1.634721814
## 2270         High                          2.248219284
## 2271         High                          0.463503991
## 2272          Low                          0.943143828
## 2273          Low                          0.038554888
## 2274         High                          0.150027324
## 2275          Low                          0.819277477
## 2276         High                          0.930822035
## 2277          Low                          0.124428997
## 2278         High                          0.734503725
## 2279         High                          0.791443245
## 2280         High                          0.819277477
## 2281          Low                          0.707733092
## 2282         High                          0.791443245
## 2283         High                          0.396578297
## 2284         High                          2.736786561
## 2285         High                          0.616266893
## 2286         High                          1.085921043
## 2287         High                          0.594404276
## 2288         High                          0.904274418
## 2289          Low                          0.073139478
## 2290          Low                          0.261561731
## 2291          Low                          2.515927367
## 2292          Low                          1.302317978
## 2293         High                          0.939931343
## 2294          Low                          0.941084141
## 2295         High                          0.519275673
## 2296          Low                          0.779121474
## 2297         High                          3.232938994
## 2298          Low                          1.806947242
## 2299         High                          0.819277477
## 2300          Low                          0.428873779
## 2301          Low                          2.527081871
## 2302          Low                          0.296190916
## 2303          Low                          3.046881823
## 2304          Low                          0.045233131
## 2305          Low                          0.411078826
## 2306          Low                          0.421065784
## 2307          Low                          1.793115665
## 2308          Low                          0.435566351
## 2309         High                          1.355859516
## 2310          Low                          0.324024217
## 2311         High                          1.478558905
## 2312         High                          0.676500707
## 2313          Low                          0.791443245
## 2314          Low                          2.051900052
## 2315          Low                          0.611805133
## 2316          Low                          0.803713135
## 2317          Low                          0.099844642
## 2318          Low                          0.630819500
## 2319          Low                          0.038554888
## 2320          Low                          2.446769441
## 2321          Low                          0.850643792
## 2322          Low                          0.430041091
## 2323          Low                          1.512022381
## 2324         High                          0.251575127
## 2325         High                          0.930822035
## 2326          Low                          1.065508354
## 2327          Low                          2.446769441
## 2328         High                          0.850643792
## 2329          Low                          0.791443245
## 2330         High                          0.296190916
## 2331         High                          0.819277477
## 2332         High                          1.590103835
## 2333          Low                          0.073139478
## 2334         High                          0.056727684
## 2335          Low                          0.430189985
## 2336         High                          0.396578297
## 2337          Low                          0.349730623
## 2338         High                          0.881742412
## 2339         High                          0.428873779
## 2340         High                          1.846657256
## 2341          Low                          0.448951506
## 2342         High                          3.196352211
## 2343          Low                          0.385424060
## 2344         High                          1.456249922
## 2345          Low                          0.150027324
## 2346          Low                          0.484645323
## 2347          Low                          0.117738011
## 2348         High                          0.095436465
## 2349         High                          0.908513112
## 2350         High                          0.707733092
## 2351          Low                          1.217049852
## 2352         High                          0.581740156
## 2353         High                          0.935283820
## 2354         High                          1.411631960
## 2355          Low                          0.507005887
## 2356          Low                          0.427535265
## 2357          Low                          0.308408490
## 2358          Low                          0.950900069
## 2359          Low                          0.965452758
## 2360          Low                          0.261561731
## 2361          Low                          0.596188979
## 2362         High                          0.819277477
## 2363         High                          2.756195400
## 2364         High                          1.488151768
## 2365         High                          0.358653963
## 2366          Low                          2.147828764
## 2367          Low                          0.060828063
## 2368          Low                          0.451182367
## 2369          Low                          0.742363712
## 2370         High                          0.038554888
## 2371          Low                          1.634721814
## 2372         High                          0.853908158
## 2373          Low                          1.333550540
## 2374          Low                          3.232938994
## 2375          Low                          2.165229787
## 2376         High                          3.232938994
## 2377         High                          2.165229787
## 2378         High                          0.283869622
## 2379         High                          3.847106177
## 2380         High                          2.756195400
## 2381         High                          3.232938994
## 2382          Low                          2.165229787
## 2383          Low                          3.847106177
## 2384          Low                          2.426468244
## 2385          Low                          0.053303632
## 2386         High                          3.196352211
## 2387          Low                          0.965452758
## 2388         High                          1.500867889
## 2389          Low                          0.296190916
## 2390         High                          2.736786561
## 2391          Low                          0.616266893
## 2392          Low                          3.232938994
## 2393          Low                          1.806947242
## 2394         High                          2.165229787
## 2395         High                          0.709792773
## 2396          Low                          0.440028067
## 2397         High                          0.474658311
## 2398         High                          0.140041938
## 2399          Low                          3.847106177
## 2400          Low                          2.426468244
## 2401         High                          0.653128318
## 2402         High                          0.060828063
## 2403         High                          0.296190916
## 2404         High                          0.930822035
## 2405         High                          1.411631960
## 2406          Low                          0.448951506
## 2407          Low                          2.170137768
## 2408          Low                          0.898525983
## 2409          Low                          0.407732548
## 2410          Low                          0.596188979
## 2411         High                          0.104356700
## 2412          Low                          0.791443245
## 2413         High                          0.104356700
## 2414          Low                          0.965452758
## 2415         High                          0.261561731
## 2416          Low                          1.590103835
## 2417         High                          0.350794157
## 2418          Low                          0.396578297
## 2419         High                          2.527081871
## 2420         High                          1.031487213
## 2421         High                          0.778229119
## 2422         High                          0.525871787
## 2423         High                          4.088712824
## 2424         High                          1.300087080
## 2425         High                          2.192446772
## 2426         High                          0.160116687
## 2427         High                          1.188542243
## 2428          Low                          0.524800968
## 2429          Low                          0.786981468
## 2430          Low                          0.451182367
## 2431         High                          1.188542243
## 2432          Low                          0.524800968
## 2433         High                          3.530987426
## 2434          Low                          1.070304778
## 2435          Low                          0.889602416
## 2436          Low                          1.210851207
## 2437         High                          0.707733092
## 2438          Low                          0.519275673
## 2439         High                          0.596188979
## 2440          Low                          0.771365250
## 2441         High                          0.875049738
## 2442         High                          0.396578297
## 2443          Low                          0.519275673
## 2444          Low                          0.596188979
## 2445          Low                          0.396578297
## 2446          Low                          0.003893799
## 2447          Low                          0.117738011
## 2448          Low                          0.796968584
## 2449         High                          0.038554888
## 2450          Low                          0.395410989
## 2451         High                          0.396578297
## 2452         High                          1.411631960
## 2453          Low                          0.519275673
## 2454          Low                          0.373102537
## 2455         High                          0.771365250
## 2456          Low                          0.875049738
## 2457          Low                          0.067566473
## 2458          Low                          2.515927367
## 2459         High                          1.302317978
## 2460         High                          4.088712824
## 2461          Low                          0.296190916
## 2462          Low                          0.150027324
## 2463          Low                          0.519275673
## 2464          Low                          0.616489981
## 2465         High                          0.519275673
## 2466         High                          0.261561731
## 2467         High                          0.819277477
## 2468          Low                          0.073139478
## 2469         High                          0.428873779
## 2470          Low                          0.358653963
## 2471         High                          0.018582705
## 2472         High                          0.819277477
## 2473         High                          0.965452758
## 2474          Low                          0.261561731
## 2475         High                          0.296190916
## 2476          Low                          0.373102537
## 2477         High                          0.261561731
## 2478          Low                          0.596188979
## 2479          Low                          1.523176874
## 2480          Low                          0.596188979
## 2481         High                          0.618497773
## 2482          Low                          2.736786561
## 2483         High                          0.616266893
## 2484         High                          0.707733092
## 2485          Low                          4.177948892
## 2486          Low                          0.240421310
## 2487         High                          1.634721814
## 2488          Low                          1.188542243
## 2489         High                          0.006744347
## 2490         High                          0.519275673
## 2491         High                          0.073139478
## 2492         High                          0.184653486
## 2493         High                          0.653128318
## 2494         High                          0.060828063
## 2495         High                          0.296190916
## 2496         High                          0.596188979
## 2497          Low                          0.038554888
## 2498          Low                          1.778614818
## 2499         High                          0.201331679
## 2500          Low                          1.300087080
## 2501          Low                          0.038554888
## 2502          Low                          1.355859516
## 2503         High                          0.324024217
## 2504          Low                          0.791443245
## 2505         High                          4.088712824
## 2506          Low                          0.296190916
## 2507          Low                          0.206960310
## 2508         High                          0.358653963
## 2509         High                          2.571699888
## 2510         High                          0.050853050
## 2511         High                          0.742363712
## 2512         High                          0.373102537
## 2513          Low                          0.038554888
## 2514         High                          0.819277477
## 2515          Low                          0.073139478
## 2516          Low                          0.396578297
## 2517          Low                          0.396578297
## 2518         High                          0.653128318
## 2519         High                          0.060828063
## 2520         High                          0.018582705
## 2521         High                          0.283869622
## 2522         High                          0.707733092
## 2523         High                          0.038554888
## 2524         High                          0.171269666
## 2525         High                          1.933662349
## 2526         High                          0.100959677
## 2527         High                          0.484645323
## 2528         High                          0.600791855
## 2529          Low                          0.385424060
## 2530         High                          0.562725822
## 2531          Low                          0.396578297
## 2532         High                          0.018582705
## 2533          Low                          0.296190916
## 2534          Low                          1.634721814
## 2535          Low                          0.261561731
## 2536         High                          0.847163603
## 2537          Low                          0.889602416
## 2538          Low                          2.252681085
## 2539          Low                          0.863895283
## 2540         High                          0.903880123
## 2541          Low                          0.242652069
## 2542          Low                          0.573880202
## 2543          Low                          0.764672586
## 2544          Low                          0.038554888
## 2545          Low                          0.519275673
## 2546         High                          0.183486280
## 2547          Low                          0.150027324
## 2548          Low                          0.819277477
## 2549          Low                          0.906282221
## 2550          Low                          0.596188979
## 2551          Low                          3.232938994
## 2552         High                          1.806947242
## 2553          Low                          2.192446772
## 2554          Low                          0.407732548
## 2555          Low                          0.908513112
## 2556         High                          1.130538949
## 2557          Low                          0.636344819
## 2558          Low                          0.853908158
## 2559          Low                          0.676500707
## 2560         High                          0.117738011
## 2561         High                          0.506954003
## 2562         High                          0.819277477
## 2563          Low                          1.634721814
## 2564          Low                          2.736786561
## 2565          Low                          0.616266893
## 2566         High                          1.790884765
## 2567          Low                          0.407732548
## 2568         High                          0.883973304
## 2569          Low                          0.395410989
## 2570         High                          0.038554888
## 2571          Low                          0.484645323
## 2572          Low                          0.686982855
## 2573          Low                          1.188542243
## 2574         High                          0.150027324
## 2575         High                          1.813193761
## 2576         High                          0.150027324
## 2577          Low                          0.939120955
## 2578         High                          0.953130962
## 2579         High                          0.479120042
## 2580         High                          0.792506806
## 2581         High                          1.188542243
## 2582         High                          0.150027324
## 2583         High                          1.857811755
## 2584         High                          0.742363712
## 2585          Low                          0.173500286
## 2586         High                          0.853908158
## 2587          Low                          0.676500707
## 2588         High                          0.153425006
## 2589         High                          0.853908158
## 2590         High                          0.273882930
## 2591         High                          0.018582705
## 2592         High                          0.853908158
## 2593          Low                          0.676500707
## 2594         High                          4.013037754
## 2595          Low                          0.707733092
## 2596         High                          2.083132655
## 2597          Low                          0.415488649
## 2598         High                          0.296190916
## 2599          Low                          0.038554888
## 2600         High                          0.840694021
## 2601         High                          1.188542243
## 2602         High                          0.150027324
## 2603          Low                          0.484645323
## 2604          Low                          0.930822035
## 2605          Low                          0.484645323
## 2606          Low                          0.930822035
## 2607         High                          1.957086799
## 2608         High                          0.287267702
## 2609          Low                          2.660935926
## 2610          Low                          0.385424060
## 2611          Low                          0.396578297
## 2612          Low                          0.018582705
## 2613          Low                          2.080901755
## 2614          Low                          1.411631960
## 2615         High                          0.150027324
## 2616         High                          1.188542243
## 2617          Low                          0.663115407
## 2618          Low                          0.791443245
## 2619         High                          0.396578297
## 2620         High                          2.036283751
## 2621         High                          0.306177677
## 2622          Low                          2.638626917
## 2623         High                          0.596188979
## 2624         High                          0.261561731
## 2625         High                          0.707733092
## 2626         High                          0.475721860
## 2627         High                          1.634721814
## 2628         High                          1.612412824
## 2629         High                          0.018582705
## 2630          Low                          1.933662349
## 2631         High                          0.100959677
## 2632         High                          0.117738011
## 2633          Low                          0.194639615
## 2634          Low                          0.697745993
## 2635          Low                          1.456249922
## 2636          Low                          0.631934941
## 2637          Low                          1.634721814
## 2638          Low                          0.697745993
## 2639         High                          1.411631960
## 2640          Low                          0.296190916
## 2641         High                          0.742363712
## 2642          Low                          0.373102537
## 2643         High                          0.930822035
## 2644         High                          0.060828063
## 2645         High                          0.408796091
## 2646          Low                          0.018582705
## 2647          Low                          1.590103835
## 2648          Low                          0.073139478
## 2649          Low                          0.395410989
## 2650         High                          0.296190916
## 2651          Low                          0.819277477
## 2652         High                          0.358653963
## 2653          Low                          1.976049449
## 2654         High                          0.071972978
## 2655          Low                          0.408796091
## 2656          Low                          1.188542243
## 2657          Low                          0.819277477
## 2658          Low                          1.369244902
## 2659          Low                          0.910744005
## 2660         High                          0.216946648
## 2661          Low                          0.073139478
## 2662          Low                          1.130538949
## 2663          Low                          1.369244902
## 2664         High                          0.910744005
## 2665         High                          0.373102537
## 2666          Low                          2.907896677
## 2667          Low                          0.356817412
## 2668         High                          0.373102537
## 2669          Low                          0.625190414
## 2670         High                          0.791443245
## 2671          Low                          0.462336676
## 2672         High                          3.274433759
## 2673         High                          0.138874829
## 2674         High                          1.253706731
## 2675         High                          0.372098658
## 2676         High                          1.369244902
## 2677          Low                          0.910744005
## 2678          Low                          0.853908158
## 2679          Low                          0.676500707
## 2680         High                          1.576718442
## 2681          Low                          0.532660904
## 2682          Low                          2.370918817
## 2683          Low                          0.150027324
## 2684          Low                          1.634721814
## 2685          Low                          0.117738011
## 2686          Low                          0.373102537
## 2687         High                          1.032379570
## 2688          Low                          0.462336676
## 2689         High                          0.036329989
## 2690          Low                          0.596188979
## 2691         High                          1.210851207
## 2692          Low                          0.529262712
## 2693         High                          0.697745993
## 2694         High                          0.519275673
## 2695         High                          0.417719503
## 2696         High                          2.772480978
## 2697         High                          0.539524727
## 2698          Low                          1.606835577
## 2699         High                          0.038554888
## 2700         High                          0.853908158
## 2701          Low                          0.930822035
## 2702          Low                          0.889602416
## 2703         High                          0.073139478
## 2704          Low                          0.484645323
## 2705         High                          0.261561731
## 2706         High                          0.596188979
## 2707         High                          1.355859516
## 2708          Low                          0.324024217
## 2709         High                          1.355859516
## 2710          Low                          0.324024217
## 2711         High                          0.738965498
## 2712         High                          0.086465067
## 2713         High                          0.819277477
## 2714         High                          2.660935926
## 2715          Low                          0.385424060
## 2716          Low                          0.596188979
## 2717          Low                          1.027025424
## 2718          Low                          0.389164616
## 2719         High                          0.018582705
## 2720         High                          0.417719503
## 2721         High                          0.018582705
## 2722          Low                          0.540417076
## 2723         High                          1.196350380
## 2724         High                          0.266023294
## 2725          Low                          1.355859516
## 2726          Low                          0.324024217
## 2727          Low                          0.730041951
## 2728          Low                          0.417719503
## 2729         High                          0.738965498
## 2730         High                          0.194639615
## 2731         High                          0.774659698
## 2732          Low                          0.117738011
## 2733         High                          0.506954003
## 2734          Low                          1.036841359
## 2735          Low                          0.162347266
## 2736          Low                          0.573880202
## 2737         High                          0.853908158
## 2738          Low                          0.676500707
## 2739          Low                          0.519275673
## 2740          Low                          0.596188979
## 2741         High                          0.738965498
## 2742          Low                          0.018582705
## 2743          Low                          0.930822035
## 2744          Low                          0.430041091
## 2745          Low                          0.738965498
## 2746          Low                          0.906282221
## 2747          Low                          1.210851207
## 2748          Low                          0.707733092
## 2749         High                          0.173500286
## 2750         High                          0.273882930
## 2751         High                          0.930822035
## 2752          Low                          0.296190916
## 2753          Low                          0.373102537
## 2754          Low                          0.816600409
## 2755         High                          1.478558905
## 2756          Low                          0.417719503
## 2757         High                          0.296190916
## 2758          Low                          0.373102537
## 2759         High                          0.018582705
## 2760          Low                          0.181255630
## 2761         High                          1.523176874
## 2762         High                          0.395410989
## 2763         High                          0.707733092
## 2764         High                          0.787821940
## 2765         High                          0.948669176
## 2766         High                          0.787821940
## 2767         High                          1.456249922
## 2768          Low                          0.143833763
## 2769         High                          1.411631960
## 2770         High                          0.908513112
## 2771         High                          0.960957702
## 2772          Low                          0.425229218
## 2773         High                          1.634721814
## 2774         High                          3.185197705
## 2775          Low                          1.848888156
## 2776          Low                          1.422786450
## 2777         High                          0.607343374
## 2778          Low                          1.411631960
## 2779         High                          0.373102537
## 2780         High                          0.269421353
## 2781         High                          0.791443245
## 2782          Low                          0.819277477
## 2783         High                          1.545485860
## 2784          Low                          0.596188979
## 2785         High                          0.150027324
## 2786         High                          0.484645323
## 2787         High                          1.300087080
## 2788          Low                          0.519275673
## 2789         High                          2.152290565
## 2790          Low                          0.046398370
## 2791         High                          0.742363712
## 2792          Low                          0.819277477
## 2793         High                          0.117738011
## 2794          Low                          0.506954003
## 2795          Low                          0.422010009
## 2796          Low                          0.144502913
## 2797         High                          0.676500707
## 2798          Low                          0.206960310
## 2799         High                          0.484645323
## 2800          Low                          1.277778109
## 2801         High                          0.229267561
## 2802         High                          3.151734185
## 2803         High                          0.541584396
## 2804          Low                          1.121615367
## 2805         High                          0.328537746
## 2806         High                          0.943143828
## 2807         High                          0.430041091
## 2808         High                          0.987761691
## 2809         High                          0.066400118
## 2810          Low                          0.475721860
## 2811         High                          0.261561731
## 2812          Low                          0.754581708
## 2813         High                          2.210293975
## 2814          Low                          0.716656635
## 2815          Low                          2.284359872
## 2816         High                          0.126659366
## 2817         High                          0.150071935
## 2818          Low                          0.965452758
## 2819          Low                          0.462336676
## 2820          Low                          1.590103835
## 2821          Low                          0.853908158
## 2822          Low                          0.676500707
## 2823         High                          0.073139478
## 2824         High                          0.819277477
## 2825          Low                          0.206960310
## 2826          Low                          0.720054847
## 2827         High                          0.965452758
## 2828         High                          0.430041091
## 2829         High                          0.117738011
## 2830          Low                          0.506954003
## 2831         High                          2.527081871
## 2832         High                          1.634721814
## 2833          Low                          0.886204195
## 2834         High                          0.296190916
## 2835         High                          2.177053559
## 2836         High                          0.750343022
## 2837         High                          1.668185300
## 2838         High                          0.396578297
## 2839          Low                          0.930822035
## 2840         High                          0.073139478
## 2841          Low                          0.596188979
## 2842         High                          1.976049449
## 2843          Low                          0.071972978
## 2844          Low                          1.217049852
## 2845          Low                          0.086465067
## 2846          Low                          0.358653963
## 2847          Low                          0.630819500
## 2848         High                          0.261561731
## 2849          Low                          0.939931343
## 2850         High                          0.941084141
## 2851          Low                          0.540417076
## 2852         High                          0.764672586
## 2853          Low                          0.038554888
## 2854         High                          2.103210758
## 2855         High                          0.206960310
## 2856         High                          0.908513112
## 2857         High                          0.038554888
## 2858          Low                          0.819277477
## 2859         High                          0.930822035
## 2860         High                          1.500867889
## 2861         High                          0.296190916
## 2862         High                          1.634721814
## 2863         High                          2.103210758
## 2864          Low                          0.127722686
## 2865          Low                          2.192446772
## 2866          Low                          0.519275673
## 2867         High                          0.117738011
## 2868          Low                          0.506954003
## 2869         High                          0.194639615
## 2870         High                          0.774659698
## 2871         High                          0.596188979
## 2872         High                          0.930822035
## 2873         High                          2.152290565
## 2874         High                          0.046398370
## 2875         High                          0.853908158
## 2876         High                          0.417719503
## 2877         High                          0.953130962
## 2878         High                          0.407732548
## 2879         High                          0.819277477
## 2880         High                          0.059765598
## 2881          Low                          0.396578297
## 2882          Low                          0.819277477
## 2883          Low                          0.328485864
## 2884         High                          1.634721814
## 2885          Low                          0.408796091
## 2886          Low                          0.819277477
## 2887          Low                          0.573880202
## 2888         High                          1.188542243
## 2889          Low                          0.657538199
## 2890          Low                          1.634721814
## 2891          Low                          2.025129251
## 2892          Low                          0.430041091
## 2893          Low                          0.484645323
## 2894         High                          0.819277477
## 2895         High                          0.791443245
## 2896         High                          1.110460890
## 2897         High                          0.239254052
## 2898         High                          0.707733092
## 2899         High                          0.310639305
## 2900         High                          1.634721814
## 2901         High                          0.345217075
## 2902         High                          2.807972134
## 2903         High                          0.908513112
## 2904         High                          0.908513112
## 2905          Low                          0.819277477
## 2906         High                          0.707733092
## 2907          Low                          1.355859516
## 2908          Low                          0.324024217
## 2909          Low                          0.965452758
## 2910         High                          2.466847548
## 2911         High                          0.256036671
## 2912          Low                          0.385424060
## 2913          Low                          0.562725822
## 2914          Low                          0.953130962
## 2915          Low                          0.596188979
## 2916         High                          0.653128318
## 2917          Low                          0.060828063
## 2918          Low                          1.478558905
## 2919         High                          0.676500707
## 2920          Low                          1.746266776
## 2921         High                          0.296190916
## 2922          Low                          0.675437149
## 2923         High                          0.038554888
## 2924         High                          0.210254494
## 2925         High                          0.484697207
## 2926          Low                          0.360832918
## 2927         High                          0.296190916
## 2928         High                          0.073139478
## 2929         High                          0.484645323
## 2930         High                          0.484645323
## 2931          Low                          0.930822035
## 2932          Low                          0.791443245
## 2933         High                          3.339129900
## 2934          Low                          0.338576466
## 2935         High                          0.067566473
## 2936          Low                          1.857811755
## 2937         High                          0.373102537
## 2938          Low                          0.105419902
## 2939         High                          0.953130962
## 2940         High                          1.277778109
## 2941         High                          0.296190916
## 2942         High                          1.634721814
## 2943          Low                          0.261561731
## 2944          Low                          0.073139478
## 2945         High                          0.819277477
## 2946         High                          0.519275673
## 2947          Low                          0.596188979
## 2948          Low                          0.519275673
## 2949          Low                          0.596188979
## 2950          Low                          0.519275673
## 2951          Low                          0.596188979
## 2952          Low                          0.519275673
## 2953          Low                          0.596188979
## 2954          Low                          0.519275673
## 2955          Low                          0.596188979
## 2956          Low                          1.411631960
## 2957          Low                          0.853908158
## 2958         High                          0.261561731
## 2959         High                          0.519275673
## 2960          Low                          0.596188979
## 2961          Low                          0.519275673
## 2962         High                          0.596188979
## 2963          Low                          0.519275673
## 2964         High                          0.596188979
## 2965         High                          1.110460890
## 2966         High                          0.239254052
## 2967          Low                          4.088712824
## 2968          Low                          0.296190916
## 2969          Low                          1.634721814
## 2970          Low                          0.853908158
## 2971          Low                          4.088712824
## 2972          Low                          0.296190916
## 2973          Low                          0.003893799
## 2974          Low                          2.515927367
## 2975          Low                          1.302317978
## 2976         High                          0.786981468
## 2977         High                          0.459042266
## 2978         High                          0.837124596
## 2979          Low                          2.348609810
## 2980         High                          0.495799659
## 2981         High                          2.353071611
## 2982         High                          0.495799659
## 2983          Low                          0.511415743
## 2984         High                          0.596188979
## 2985          Low                          2.080901755
## 2986         High                          0.519275673
## 2987          Low                          0.373102537
## 2988          Low                          0.819277477
## 2989          Low                          0.296190916
## 2990         High                          0.373102537
## 2991          Low                          0.853908158
## 2992         High                          0.261561731
## 2993         High                          0.067566473
## 2994          Low                          0.853908158
## 2995          Low                          0.556033196
## 2996         High                          2.192446772
## 2997         High                          0.160116687
## 2998         High                          1.188542243
## 2999         High                          0.206960310
## 3000         High                          0.608510697
## 3001         High                          0.506954003
## 3002         High                          0.373102537
## 3003          Low                          0.707733092
## 3004          Low                          0.273882930
## 3005          Low                          0.930822035
## 3006         High                          1.634721814
## 3007          Low                          0.296190916
## 3008         High                          0.018582705
## 3009          Low                          0.296190916
## 3010         High                          0.930822035
## 3011         High                          0.261561731
## 3012         High                          0.930822035
## 3013          Low                          1.456249922
## 3014          Low                          2.299529996
## 3015          Low                          0.608510697
## 3016         High                          0.791443245
## 3017         High                          0.742363712
## 3018         High                          0.484645323
## 3019          Low                          2.099418227
## 3020         High                          0.302273757
## 3021         High                          0.184653486
## 3022          Low                          0.596188979
## 3023         High                          1.976049449
## 3024          Low                          0.071972978
## 3025         High                          0.261561731
## 3026         High                          0.930822035
## 3027         High                          0.261561731
## 3028          Low                          0.596188979
## 3029          Low                          0.540417076
## 3030         High                          0.276061839
## 3031          Low                          1.300087080
## 3032          Low                          0.993338925
## 3033          Low                          0.707733092
## 3034         High                          1.233160172
## 3035         High                          0.184653486
## 3036          Low                          0.707733092
## 3037          Low                          0.791443245
## 3038          Low                          0.596188979
## 3039         High                          0.062521870
## 3040         High                          0.819277477
## 3041         High                          4.635712672
## 3042         High                          0.261561731
## 3043         High                          0.791443245
## 3044          Low                          0.720054847
## 3045          Low                          0.883973304
## 3046          Low                          0.600925708
## 3047          Low                          0.883973304
## 3048          Low                          0.373102537
## 3049          Low                          0.819277477
## 3050          Low                          0.819277477
## 3051         High                          1.969356749
## 3052         High                          0.283869622
## 3053          Low                          0.965452758
## 3054          Low                          0.970978107
## 3055         High                          0.853908158
## 3056          Low                          0.676500707
## 3057         High                          0.296190916
## 3058         High                          1.483020702
## 3059          Low                          3.482130683
## 3060          Low                          0.047682836
## 3061         High                          0.540417076
## 3062         High                          0.399255316
## 3063         High                          1.873494980
## 3064          Low                          0.775470084
## 3065          Low                          0.580624717
## 3066          Low                          0.038554888
## 3067         High                          1.679339796
## 3068          Low                          1.300087080
## 3069         High                          1.976049449
## 3070         High                          0.071972978
## 3071          Low                          0.708900419
## 3072          Low                          0.276069105
## 3073         High                          0.369808158
## 3074          Low                          0.053303632
## 3075         High                          1.606835577
## 3076          Low                          0.038554888
## 3077          Low                          0.998916160
## 3078          Low                          0.462336676
## 3079         High                          0.317331756
## 3080          Low                          1.143924323
## 3081         High                          0.239254052
## 3082         High                          1.121615367
## 3083          Low                          0.328537746
## 3084          Low                          2.736786561
## 3085         High                          0.616266893
## 3086         High                          1.121615367
## 3087         High                          0.328537746
## 3088         High                          2.080901755
## 3089         High                          0.519275673
## 3090         High                          2.083132655
## 3091         High                          0.415488649
## 3092          Low                          0.151194466
## 3093         High                          0.819277477
## 3094          Low                          0.018582705
## 3095          Low                          0.853908158
## 3096          Low                          0.261561731
## 3097         High                          0.038554888
## 3098          Low                          0.524890203
## 3099          Low                          0.911078638
## 3100          Low                          0.675437149
## 3101         High                          0.038554888
## 3102          Low                          0.358653963
## 3103          Low                          0.930822035
## 3104          Low                          0.484645323
## 3105         High                          0.168541055
## 3106          Low                          0.763505258
## 3107          Low                          1.351397720
## 3108          Low                          0.363115639
## 3109          Low                          0.742363712
## 3110          Low                          0.819277477
## 3111         High                          2.299529996
## 3112          Low                          0.608510697
## 3113         High                          0.154042294
## 3114          Low                          0.956254212
## 3115          Low                          2.152290565
## 3116          Low                          0.046398370
## 3117          Low                          2.299529996
## 3118          Low                          0.612972456
## 3119          Low                          0.018582705
## 3120          Low                          1.456249922
## 3121         High                          0.707733092
## 3122          Low                          0.556033196
## 3123         High                          3.470753086
## 3124         High                          0.237023297
## 3125         High                          0.396578297
## 3126         High                          2.935336762
## 3127          Low                          0.568354895
## 3128          Low                          0.184653486
## 3129         High                          0.596188979
## 3130         High                          0.965452758
## 3131         High                          0.970978107
## 3132          Low                          0.930822035
## 3133         High                          0.408796091
## 3134         High                          2.736786561
## 3135         High                          0.616266893
## 3136          Low                          0.073139478
## 3137          Low                          0.819277477
## 3138          Low                          0.540417076
## 3139         High                          0.819277477
## 3140          Low                          0.930822035
## 3141         High                          0.791443245
## 3142         High                          1.210851207
## 3143          Low                          0.707733092
## 3144          Low                          0.742363712
## 3145         High                          0.073139478
## 3146          Low                          0.596188979
## 3147          Low                          2.527081871
## 3148          Low                          1.411631960
## 3149          Low                          0.920834903
## 3150          Low                          0.016379571
## 3151          Low                          0.073139478
## 3152          Low                          0.373102537
## 3153         High                          0.965452758
## 3154         High                          0.296190916
## 3155         High                          0.150027324
## 3156          Low                          0.296190916
## 3157         High                          0.742363712
## 3158         High                          0.407732548
## 3159         High                          0.150027324
## 3160         High                          0.296190916
## 3161         High                          0.819277477
## 3162         High                          0.630819500
## 3163          Low                          0.373102537
## 3164          Low                          1.355859516
## 3165         High                          0.324024217
## 3166         High                          0.831599255
## 3167         High                          0.239254052
## 3168         High                          0.930822035
## 3169          Low                          0.038554888
## 3170          Low                          3.185197705
## 3171         High                          1.848888156
## 3172          Low                          1.411631960
## 3173         High                          0.540417076
## 3174         High                          0.296190916
## 3175         High                          0.930822035
## 3176          Low                          0.930822035
## 3177         High                          0.374269841
## 3178         High                          0.774659698
## 3179         High                          1.166233282
## 3180          Low                          1.121615367
## 3181         High                          0.930822035
## 3182          Low                          0.112496881
## 3183          Low                          0.073139478
## 3184          Low                          2.370918817
## 3185          Low                          0.038554888
## 3186          Low                          0.742363712
## 3187         High                          0.596188979
## 3188          Low                          0.261561731
## 3189         High                          0.930822035
## 3190          Low                          0.296190916
## 3191         High                          0.852740829
## 3192          Low                          1.199696725
## 3193         High                          0.754581708
## 3194          Low                          0.306177677
## 3195          Low                          1.634721814
## 3196          Low                          0.261561731
## 3197          Low                          1.634721814
## 3198          Low                          0.407732548
## 3199          Low                          0.060828063
## 3200          Low                          0.830431926
## 3201          Low                          0.184653486
## 3202          Low                          0.596188979
## 3203          Low                          0.731990089
## 3204         High                          0.905947587
## 3205         High                          0.373102537
## 3206         High                          0.261561731
## 3207          Low                          0.930822035
## 3208          Low                          0.273882930
## 3209          Low                          0.551571446
## 3210         High                          0.791443245
## 3211          Low                          0.764672586
## 3212          Low                          0.752350820
## 3213          Low                          0.006744347
## 3214          Low                          0.519275673
## 3215          Low                          0.261561731
## 3216         High                          0.172333097
## 3217          Low                          1.300087080
## 3218         High                          0.150027324
## 3219          Low                          0.269421353
## 3220         High                          0.519275673
## 3221         High                          0.707733092
## 3222          Low                          0.484645323
## 3223         High                          1.969356749
## 3224          Low                          2.096518057
## 3225          Low                          0.809238474
## 3226          Low                          1.422786450
## 3227          Low                          0.607343374
## 3228          Low                          0.930822035
## 3229          Low                          0.261561731
## 3230          Low                          1.567794847
## 3231          Low                          0.886204195
## 3232          Low                          0.786981468
## 3233         High                          0.261561731
## 3234         High                          0.363115639
## 3235         High                          0.600925708
## 3236          Low                          0.764672586
## 3237         High                          0.886204195
## 3238          Low                          0.018582705
## 3239         High                          1.143924323
## 3240          Low                          0.685424244
## 3241          Low                          2.616317907
## 3242          Low                          0.273882930
## 3243         High                          0.819277477
## 3244         High                          0.438807794
## 3245         High                          1.188542243
## 3246          Low                          0.069743750
## 3247         High                          1.411631960
## 3248         High                          0.819277477
## 3249         High                          0.596188979
## 3250          Low                          2.283378276
## 3251          Low                          0.348682131
## 3252          Low                          0.930822035
## 3253         High                          0.707733092
## 3254          Low                          0.296190916
## 3255         High                          0.596188979
## 3256          Low                          0.646383787
## 3257          Low                          0.150027324
## 3258          Low                          0.296190916
## 3259         High                          0.930822035
## 3260         High                          0.154042294
## 3261         High                          0.956254212
## 3262          Low                          0.707733092
## 3263         High                          1.210851207
## 3264         High                          0.127722686
## 3265         High                          1.456249922
## 3266         High                          0.730041951
## 3267         High                          0.150027324
## 3268          Low                          0.707733092
## 3269         High                          0.112496881
## 3270          Low                          0.261561731
## 3271         High                          0.930822035
## 3272          Low                          1.121615367
## 3273         High                          0.930822035
## 3274         High                          0.707733092
## 3275         High                          0.908513112
## 3276          Low                          0.373102537
## 3277         High                          0.484697207
## 3278          Low                          0.360832918
## 3279         High                          0.296190916
## 3280          Low                          0.373102537
## 3281         High                          0.345217075
## 3282         High                          0.791443245
## 3283         High                          1.634721814
## 3284         High                          0.738965498
## 3285         High                          0.407732548
## 3286          Low                          0.060828063
## 3287         High                          0.094269618
## 3288         High                          0.365346478
## 3289         High                          1.456249922
## 3290         High                          0.596188979
## 3291         High                          1.590103835
## 3292          Low                          0.073139478
## 3293         High                          0.373102537
## 3294         High                          0.428873779
## 3295         High                          0.184653486
## 3296          Low                          0.596188979
## 3297         High                          0.908513112
## 3298         High                          2.214755776
## 3299         High                          0.452349681
## 3300         High                          0.814867582
## 3301          Low                          0.181255630
## 3302          Low                          3.713921352
## 3303         High                          1.396015675
## 3304          Low                          0.965452758
## 3305         High                          0.742363712
## 3306          Low                          2.466847548
## 3307          Low                          0.256036671
## 3308          Low                          0.519275673
## 3309         High                          0.779121474
## 3310          Low                          0.296190916
## 3311         High                          0.373102537
## 3312         High                          2.907896677
## 3313         High                          0.356817412
## 3314          Low                          0.345217075
## 3315         High                          0.484645323
## 3316          Low                          0.853908158
## 3317         High                          0.261561731
## 3318          Low                          0.965452758
## 3319         High                          1.355859516
## 3320         High                          0.324024217
## 3321         High                          0.261561731
## 3322          Low                          0.930822035
## 3323         High                          0.848279048
## 3324         High                          0.930822035
## 3325         High                          0.296190916
## 3326          Low                          0.819277477
## 3327         High                          0.596188979
## 3328         High                          0.038554888
## 3329          Low                          1.976049449
## 3330          Low                          0.083120467
## 3331         High                          0.373102537
## 3332         High                          0.428873779
## 3333          Low                          1.411631960
## 3334          Low                          0.296190916
## 3335         High                          0.653128318
## 3336         High                          0.060828063
## 3337         High                          0.150027324
## 3338          Low                          0.484645323
## 3339         High                          0.018582705
## 3340         High                          0.930822035
## 3341         High                          0.956142668
## 3342         High                          0.306177677
## 3343          Low                          0.475751435
## 3344          Low                          0.154042294
## 3345          Low                          0.956254212
## 3346          Low                          0.428873779
## 3347         High                          1.976049449
## 3348         High                          0.071972978
## 3349          Low                          0.828201036
## 3350          Low                          0.930822035
## 3351         High                          0.073139478
## 3352          Low                          0.738965498
## 3353          Low                          0.796968584
## 3354          Low                          1.976049449
## 3355         High                          0.071972978
## 3356         High                          0.742363712
## 3357          Low                          0.373102537
## 3358          Low                          0.596188979
## 3359         High                          0.930822035
## 3360         High                          0.730041951
## 3361         High                          0.073139478
## 3362          Low                          0.819277477
## 3363         High                          1.746266776
## 3364         High                          1.076997463
## 3365         High                          0.596188979
## 3366          Low                          1.456249922
## 3367          Low                          0.423297562
## 3368          Low                          0.319302143
## 3369         High                          0.484645323
## 3370          Low                          0.328485864
## 3371         High                          0.511415743
## 3372         High                          1.121615367
## 3373         High                          0.930822035
## 3374         High                          1.590103835
## 3375         High                          0.073139478
## 3376          Low                          0.930822035
## 3377         High                          0.421117667
## 3378         High                          1.456249922
## 3379         High                          1.182920385
## 3380         High                          0.599936855
## 3381         High                          0.009845490
## 3382          Low                          0.484645323
## 3383          Low                          0.073139478
## 3384         High                          0.840694021
## 3385          Low                          0.738965498
## 3386         High                          0.315100938
## 3387          Low                          0.146012390
## 3388          Low                          4.224351647
## 3389          Low                          0.588878964
## 3390         High                          0.738965498
## 3391          Low                          0.441195380
## 3392         High                          1.634721814
## 3393          Low                          0.853908158
## 3394         High                          0.173500286
## 3395          Low                          0.373102537
## 3396         High                          1.969356749
## 3397          Low                          0.596188979
## 3398         High                          0.261561731
## 3399         High                          0.819277477
## 3400         High                          0.296190916
## 3401          Low                          0.261561731
## 3402         High                          0.430041091
## 3403          Low                          0.596188979
## 3404         High                          0.540417076
## 3405          Low                          2.515927367
## 3406         High                          1.302317978
## 3407         High                          0.930822035
## 3408         High                          0.883973304
## 3409          Low                          0.408796091
## 3410         High                          0.519275673
## 3411          Low                          0.596188979
## 3412         High                          0.930822035
## 3413          Low                          0.791443245
## 3414         High                          0.296190916
## 3415          Low                          0.930822035
## 3416         High                          0.038554888
## 3417          Low                          0.407732548
## 3418          Low                          2.466847548
## 3419          Low                          0.256036671
## 3420         High                          0.060828063
## 3421          Low                          1.976049449
## 3422          Low                          0.071972978
## 3423          Low                          0.596188979
## 3424         High                          0.886204195
## 3425          Low                          0.840694021
## 3426         High                          0.146012390
## 3427          Low                          1.411631960
## 3428         High                          0.819277477
## 3429          Low                          0.539665845
## 3430         High                          0.819277477
## 3431          Low                          0.908513112
## 3432         High                          0.023005035
## 3433         High                          0.484645323
## 3434          Low                          0.596188979
## 3435          Low                          0.395410989
## 3436         High                          0.140041938
## 3437          Low                          1.991665749
## 3438         High                          0.183486280
## 3439          Low                          0.440081337
## 3440         High                          1.456249922
## 3441          Low                          0.819277477
## 3442         High                          0.511415743
## 3443          Low                          1.634721814
## 3444         High                          0.373102537
## 3445          Low                          1.355859516
## 3446         High                          0.324024217
## 3447          Low                          1.182920385
## 3448         High                          0.599936855
## 3449         High                          0.511415743
## 3450          Low                          1.456249922
## 3451          Low                          2.515927367
## 3452          Low                          1.302317978
## 3453          Low                          0.707733092
## 3454          Low                          0.428873779
## 3455          Low                          0.039719350
## 3456          Low                          1.411631960
## 3457         High                          0.596188979
## 3458          Low                          0.738965498
## 3459         High                          0.038554888
## 3460         High                          0.531545468
## 3461         High                          0.745658159
## 3462          Low                          0.296190916
## 3463         High                          0.819277477
## 3464         High                          0.562725822
## 3465         High                          0.261561731
## 3466          Low                          0.930822035
## 3467         High                          0.261561731
## 3468          Low                          0.847163603
## 3469         High                          0.630819500
## 3470          Low                          0.901820437
## 3471         High                          0.506352259
## 3472         High                          0.743427272
## 3473         High                          1.634721814
## 3474          Low                          0.261561731
## 3475          Low                          0.009845490
## 3476          Low                          3.419442352
## 3477         High                          0.819277477
## 3478          Low                          0.743427272
## 3479          Low                          1.411631960
## 3480          Low                          0.261561731
## 3481         High                          0.018582705
## 3482         High                          0.738965498
## 3483         High                          1.355859516
## 3484          Low                          0.324024217
## 3485          Low                          2.750171967
## 3486          Low                          1.166233282
## 3487          Low                          0.819277477
## 3488          Low                          0.839890900
## 3489         High                          0.908513112
## 3490          Low                          0.828201036
## 3491          Low                          1.456249922
## 3492          Low                          0.018582705
## 3493         High                          0.819277477
## 3494         High                          0.930822035
## 3495         High                          0.819277477
## 3496         High                          0.318499048
## 3497         High                          1.456249922
## 3498         High                          0.018582705
## 3499         High                          0.296190916
## 3500          Low                          0.318499048
## 3501         High                          0.396578297
## 3502          Low                          0.707733092
## 3503          Low                          0.428256405
## 3504          Low                          0.337409170
## 3505         High                          0.730041951
## 3506         High                          0.073139478
## 3507         High                          0.150027324
## 3508          Low                          1.976049449
## 3509          Low                          0.083120467
## 3510          Low                          0.373102537
## 3511         High                          0.730041951
## 3512         High                          0.596188979
## 3513         High                          0.296190916
## 3514          Low                          0.261561731
## 3515          Low                          0.596188979
## 3516         High                          0.738965498
## 3517          Low                          0.853908158
## 3518         High                          0.676500707
## 3519          Low                          0.819277477
## 3520          Low                          0.511415743
## 3521          Low                          0.930822035
## 3522         High                          0.396578297
## 3523          Low                          0.428873779
## 3524         High                          0.511415743
## 3525          Low                          0.707733092
## 3526          Low                          1.411631960
## 3527          Low                          0.296190916
## 3528         High                          1.634721814
## 3529         High                          0.016379571
## 3530          Low                          0.596188979
## 3531          Low                          0.296190916
## 3532          Low                          0.819277477
## 3533          Low                          0.819277477
## 3534         High                          0.038554888
## 3535          Low                          0.261561731
## 3536         High                          0.819277477
## 3537         High                          0.484645323
## 3538          Low                          0.742363712
## 3539          Low                          0.396578297
## 3540         High                          0.296190916
## 3541         High                          0.261561731
## 3542          Low                          0.018582705
## 3543          Low                          0.018582705
## 3544          Low                          0.396578297
## 3545          Low                          0.146012390
## 3546         High                          0.743427272
## 3547         High                          2.750171967
## 3548         High                          1.166233282
## 3549          Low                          0.766182323
## 3550          Low                          0.018582705
## 3551          Low                          1.355859516
## 3552         High                          0.324024217
## 3553         High                          0.408796091
## 3554         High                          0.117738011
## 3555          Low                          1.969356749
## 3556          Low                          0.283869622
## 3557          Low                          0.361948337
## 3558         High                          0.943731523
## 3559         High                          0.738965498
## 3560          Low                          0.150584957
## 3561          Low                          0.839890900
## 3562         High                          0.395410989
## 3563          Low                          0.261561731
## 3564         High                          0.965452758
## 3565          Low                          0.150027324
## 3566          Low                          0.738965498
## 3567          Low                          0.428256405
## 3568         High                          0.337409170
## 3569         High                          0.484645323
## 3570          Low                          1.746266776
## 3571          Low                          0.038554888
## 3572         High                          0.417719503
## 3573         High                          0.883973304
## 3574         High                          0.427089094
## 3575          Low                          0.340807296
## 3576         High                          0.511415743
## 3577          Low                          0.511415743
## 3578         High                          0.965452758
## 3579         High                          0.863895283
## 3580         High                          1.835502758
## 3581          Low                          0.640806583
## 3582         High                          0.229267561
## 3583          Low                          0.819277477
## 3584         High                          2.303991798
## 3585         High                          0.519275673
## 3586          Low                          0.117738011
## 3587         High                          0.310639305
## 3588          Low                          2.532436033
## 3589         High                          0.299760208
## 3590         High                          2.532436033
## 3591         High                          0.299760208
## 3592          Low                          0.261561731
## 3593         High                          0.395410989
## 3594          Low                          4.088712824
## 3595         High                          1.300087080
## 3596          Low                          3.046881823
## 3597          Low                          0.045233131
## 3598          Low                          0.016379571
## 3599         High                          0.750387639
## 3600          Low                          0.073139478
## 3601          Low                          0.596188979
## 3602          Low                          0.296190916
## 3603          Low                          0.819277477
## 3604          Low                          0.073139478
## 3605         High                          0.076208782
## 3606         High                          1.188542243
## 3607          Low                          0.150027324
## 3608          Low                          0.296190916
## 3609         High                          0.819277477
## 3610         High                          2.515927367
## 3611         High                          1.302317978
## 3612          Low                          0.953130962
## 3613         High                          0.852740829
## 3614          Low                          0.920834903
## 3615         High                          0.150027324
## 3616          Low                          0.150027324
## 3617         High                          0.596188979
## 3618         High                          1.902429751
## 3619         High                          0.373102537
## 3620          Low                          1.612412824
## 3621         High                          0.908513112
## 3622         High                          0.296190916
## 3623          Low                          0.596188979
## 3624          Low                          2.750171967
## 3625          Low                          1.166233282
## 3626         High                          0.707733092
## 3627          Low                          1.612412824
## 3628         High                          0.908513112
## 3629         High                          1.355859516
## 3630          Low                          0.324024217
## 3631          Low                          0.853908158
## 3632         High                          0.676500707
## 3633          Low                          0.018582705
## 3634         High                          0.395410989
## 3635         High                          2.259373786
## 3636          Low                          2.259373786
## 3637          Low                          0.631934941
## 3638          Low                          0.676500707
## 3639          Low                          0.251575127
## 3640         High                          0.396578297
## 3641          Low                          0.503659583
## 3642         High                          0.100959677
## 3643          Low                          0.883973304
## 3644         High                          0.965452758
## 3645         High                          0.373102537
## 3646         High                          0.898525983
## 3647          Low                          0.150027324
## 3648         High                          0.596188979
## 3649         High                          0.150027324
## 3650         High                          0.596188979
## 3651          Low                          0.150027324
## 3652         High                          0.891833308
## 3653          Low                          1.456249922
## 3654         High                          1.100673128
## 3655          Low                          1.411631960
## 3656          Low                          0.540417076
## 3657          Low                          0.738965498
## 3658         High                          0.484645323
## 3659         High                          0.427089094
## 3660         High                          1.411631960
## 3661         High                          1.495290643
## 3662         High                          0.390949294
## 3663          Low                          1.495290643
## 3664         High                          0.390949294
## 3665         High                          0.373102537
## 3666         High                          0.599141005
## 3667         High                          0.515319766
## 3668          Low                          4.200257909
## 3669          Low                          0.742363712
## 3670         High                          0.373102537
## 3671          Low                          1.076997463
## 3672         High                          0.519275673
## 3673         High                          0.150027324
## 3674         High                          0.296190916
## 3675          Low                          0.993338925
## 3676          Low                          2.177053559
## 3677          Low                          0.750343022
## 3678          Low                          0.596188979
## 3679          Low                          0.873986177
## 3680          Low                          0.676500707
## 3681          Low                          1.411631960
## 3682          Low                          0.540417076
## 3683          Low                          2.935336762
## 3684          Low                          0.046398370
## 3685          Low                          4.423348081
## 3686         High                          0.930822035
## 3687         High                          0.146012390
## 3688         High                          1.230282316
## 3689          Low                          0.373102537
## 3690         High                          0.539665845
## 3691          Low                          0.128889754
## 3692         High                          0.839890900
## 3693          Low                          0.261561731
## 3694          Low                          0.847163603
## 3695          Low                          4.088712824
## 3696         High                          0.296190916
## 3697          Low                          1.076997463
## 3698         High                          0.038554888
## 3699          Low                          0.655359200
## 3700          Low                          1.217049852
## 3701          Low                          2.170137768
## 3702         High                          1.099306413
## 3703          Low                          1.369244902
## 3704         High                          0.910744005
## 3705          Low                          0.688770570
## 3706          Low                          0.787821940
## 3707         High                          1.411631960
## 3708         High                          0.540417076
## 3709         High                          0.038554888
## 3710          Low                          0.150027324
## 3711          Low                          0.707733092
## 3712          Low                          0.396578297
## 3713         High                          0.891833308
## 3714          Low                          0.853908158
## 3715         High                          0.676500707
## 3716          Low                          0.511415743
## 3717          Low                          0.511415743
## 3718          Low                          0.742363712
## 3719         High                          0.819277477
## 3720         High                          0.930822035
## 3721         High                          0.396578297
## 3722          Low                          0.540417076
## 3723          Low                          0.819277477
## 3724          Low                          0.261561731
## 3725          Low                          0.891833308
## 3726          Low                          1.456249922
## 3727         High                          0.819277477
## 3728         High                          1.456249922
## 3729         High                          0.853908158
## 3730          Low                          0.676500707
## 3731          Low                          1.746266776
## 3732          Low                          0.088694874
## 3733         High                          0.738965498
## 3734          Low                          2.841638913
## 3735          Low                          0.202498906
## 3736          Low                          0.407732548
## 3737         High                          0.150027324
## 3738         High                          0.484645323
## 3739          Low                          0.953130962
## 3740          Low                          0.596188979
## 3741         High                          0.296190916
## 3742          Low                          0.930822035
## 3743         High                          0.819277477
## 3744          Low                          0.273882930
## 3745         High                          0.146012390
## 3746         High                          0.596188979
## 3747         High                          0.083120467
## 3748          Low                          0.742363712
## 3749         High                          0.819277477
## 3750         High                          3.642532502
## 3751         High                          1.690494292
## 3752          Low                          1.991665749
## 3753         High                          0.060828063
## 3754          Low                          2.750171967
## 3755         High                          1.166233282
## 3756         High                          0.853908158
## 3757         High                          0.676500707
## 3758         High                          0.150027324
## 3759         High                          0.819277477
## 3760          Low                          0.920834903
## 3761          Low                          0.774659698
## 3762          Low                          0.507005887
## 3763         High                          0.625703517
## 3764          Low                          0.261561731
## 3765          Low                          0.930822035
## 3766          Low                          1.188542243
## 3767         High                          0.373102537
## 3768          Low                          0.707733092
## 3769         High                          1.121615367
## 3770          Low                          0.930822035
## 3771         High                          1.188542243
## 3772          Low                          0.272715653
## 3773          Low                          0.596188979
## 3774          Low                          0.484645323
## 3775         High                          2.527081871
## 3776         High                          2.210293975
## 3777         High                          0.716656635
## 3778         High                          0.742363712
## 3779          Low                          0.184653486
## 3780          Low                          0.408796091
## 3781         High                          0.430041091
## 3782          Low                          0.596188979
## 3783         High                          0.296190916
## 3784          Low                          0.261561731
## 3785         High                          0.993338925
## 3786          Low                          0.752350820
## 3787         High                          1.199696725
## 3788         High                          0.596188979
## 3789         High                          1.976049449
## 3790         High                          0.071972978
## 3791         High                          1.976049449
## 3792          Low                          0.071972978
## 3793         High                          0.596188979
## 3794         High                          0.373102537
## 3795         High                          0.853908158
## 3796          Low                          0.819277477
## 3797         High                          0.742363712
## 3798          Low                          0.596188979
## 3799         High                          0.421117667
## 3800         High                          0.018582705
## 3801         High                          0.596188979
## 3802          Low                          1.411631960
## 3803          Low                          0.261561731
## 3804          Low                          0.296190916
## 3805          Low                          1.456249922
## 3806          Low                          0.819277477
## 3807         High                          0.891833308
## 3808         High                          0.073139478
## 3809         High                          0.484645323
## 3810          Low                          0.373102537
## 3811         High                          0.819277477
## 3812         High                          0.819277477
## 3813          Low                          0.853908158
## 3814          Low                          0.676500707
## 3815          Low                          0.296190916
## 3816          Low                          1.567794847
## 3817         High                          0.421117667
## 3818         High                          2.515927367
## 3819         High                          1.302317978
## 3820          Low                          0.519275673
## 3821         High                          0.779121474
## 3822         High                          0.596188979
## 3823         High                          1.411631960
## 3824         High                          1.121615367
## 3825          Low                          0.930822035
## 3826          Low                          0.272715653
## 3827         High                          0.076208782
## 3828          Low                          0.076208782
## 3829         High                          0.930822035
## 3830          Low                          0.519275673
## 3831         High                          0.038554888
## 3832          Low                          0.272715653
## 3833         High                          0.742363712
## 3834         High                          0.908513112
## 3835         High                          2.527081871
## 3836          Low                          0.930822035
## 3837          Low                          0.105419902
## 3838          Low                          2.527081871
## 3839         High                          0.296190916
## 3840         High                          1.456249922
## 3841          Low                          0.417719503
## 3842         High                          0.743427272
## 3843          Low                          0.038554888
## 3844         High                          0.596188979
## 3845          Low                          0.407732548
## 3846         High                          0.038554888
## 3847         High                          0.396578297
## 3848          Low                          0.930822035
## 3849          Low                          1.056919410
## 3850         High                          0.374269841
## 3851          Low                          0.827137475
## 3852         High                          0.326255040
## 3853         High                          0.150027324
## 3854         High                          0.819277477
## 3855          Low                          1.014532417
## 3856         High                          0.435566351
## 3857         High                          0.229267561
## 3858         High                          0.150027324
## 3859          Low                          0.930822035
## 3860         High                          0.853908158
## 3861          Low                          0.296190916
## 3862         High                          0.373102537
## 3863         High                          2.337455307
## 3864         High                          0.150027324
## 3865         High                          0.211421730
## 3866         High                          0.799199473
## 3867         High                          0.408796091
## 3868         High                          0.452349681
## 3869          Low                          0.440028067
## 3870         High                          0.930822035
## 3871         High                          0.150027324
## 3872          Low                          0.819277477
## 3873          Low                          2.466847548
## 3874         High                          0.256036671
## 3875          Low                          2.466847548
## 3876         High                          0.256036671
## 3877          Low                          0.340807296
## 3878         High                          0.720054847
## 3879          Low                          0.965452758
## 3880         High                          0.206960310
## 3881          Low                          0.819277477
## 3882         High                          0.596188979
## 3883         High                          0.018582705
## 3884         High                          0.373102537
## 3885          Low                          0.819277477
## 3886         High                          0.261561731
## 3887         High                          1.199696725
## 3888         High                          0.017531500
## 3889          Low                          0.484645323
## 3890         High                          0.519275673
## 3891          Low                          0.467913835
## 3892          Low                          0.853908158
## 3893          Low                          0.467913835
## 3894         High                          1.969356749
## 3895          Low                          0.261561731
## 3896          Low                          0.373102537
## 3897          Low                          0.254690941
## 3898         High                          1.076997463
## 3899          Low                          2.750171967
## 3900          Low                          0.943143828
## 3901          Low                          2.283378276
## 3902          Low                          0.348682131
## 3903          Low                          0.891833308
## 3904         High                          0.993338925
## 3905         High                          0.273882930
## 3906         High                          0.551571446
## 3907          Low                          0.596188979
## 3908         High                          0.296190916
## 3909         High                          0.819277477
## 3910         High                          0.596188979
## 3911         High                          1.411631960
## 3912         High                          0.296190916
## 3913          Low                          0.819277477
## 3914         High                          0.819277477
## 3915          Low                          1.914699700
## 3916         High                          0.256036671
## 3917         High                          0.105419902
## 3918         High                          0.296190916
## 3919          Low                          0.596188979
## 3920          Low                          0.396578297
## 3921          Low                          0.017531500
## 3922         High                          0.261561731
## 3923         High                          0.396578297
## 3924         High                          0.707733092
## 3925         High                          1.076997463
## 3926         High                          0.038554888
## 3927         High                          0.272715653
## 3928         High                          0.973209000
## 3929          Low                          0.060828063
## 3930          Low                          0.272715653
## 3931          Low                          0.137536552
## 3932          Low                          1.369244902
## 3933          Low                          0.910744005
## 3934          Low                          2.337455307
## 3935          Low                          0.150027324
## 3936          Low                          0.556033196
## 3937          Low                          0.462336676
## 3938         High                          0.373102537
## 3939          Low                          0.596188979
## 3940         High                          1.099306413
## 3941         High                          0.105419902
## 3942         High                          0.819277477
## 3943          Low                          1.668185300
## 3944         High                          0.596188979
## 3945          Low                          0.261561731
## 3946         High                          0.707733092
## 3947          Low                          0.738965498
## 3948          Low                          0.819277477
## 3949          Low                          0.373102537
## 3950          Low                          0.930822035
## 3951          Low                          0.930822035
## 3952         High                          0.261561731
## 3953          Low                          0.930822035
## 3954          Low                          0.819277477
## 3955          Low                          0.819277477
## 3956         High                          0.819277477
## 3957         High                          1.634721814
## 3958         High                          0.261561731
## 3959          Low                          1.411631960
## 3960         High                          0.519275673
## 3961          Low                          0.596188979
## 3962         High                          1.914699700
## 3963         High                          0.256036671
## 3964         High                          0.742363712
## 3965          Low                          0.908513112
## 3966         High                          0.819277477
## 3967         High                          1.375937595
## 3968         High                          0.069743750
## 3969         High                          0.819277477
## 3970         High                          0.819277477
## 3971         High                          0.596188979
## 3972         High                          0.653128318
## 3973         High                          0.953130962
## 3974         High                          0.841586377
## 3975          Low                          0.819277477
## 3976         High                          1.322396053
## 3977         High                          0.318499048
## 3978         High                          0.073139478
## 3979         High                          0.707733092
## 3980         High                          1.076997463
## 3981         High                          0.038554888
## 3982         High                          0.073139478
## 3983          Low                          0.596188979
## 3984         High                          0.396578297
## 3985          Low                          0.117738011
## 3986         High                          0.506954003
## 3987         High                          0.018582705
## 3988         High                          0.261561731
## 3989          Low                          0.428873779
## 3990         High                          0.060828063
## 3991          Low                          0.930822035
## 3992         High                          0.261561731
## 3993          Low                          0.261561731
## 3994         High                          0.296190916
## 3995          Low                          0.930822035
## 3996         High                          0.930822035
## 3997         High                          0.117738011
## 3998          Low                          0.506954003
## 3999          Low                          2.750171967
## 4000         High                          1.166233282
## 4001         High                          0.930822035
## 4002          Low                          0.596188979
## 4003          Low                          0.073139478
## 4004         High                          0.819277477
## 4005          Low                          0.819277477
## 4006          Low                          0.261561731
## 4007          Low                          1.400477471
## 4008         High                          0.822623811
## 4009          Low                          1.400477471
## 4010         High                          0.822623811
## 4011          Low                          1.400477471
## 4012         High                          0.822623811
## 4013          Low                          0.073139478
## 4014         High                          0.519275673
## 4015          Low                          0.819277477
## 4016         High                          0.519275673
## 4017          Low                          0.819277477
## 4018         High                          0.519275673
## 4019          Low                          0.088694874
## 4020          Low                          0.562725822
## 4021          Low                          0.519275673
## 4022          Low                          0.819277477
## 4023          Low                          0.269421353
## 4024          Low                          0.819277477
## 4025          Low                          0.596188979
## 4026         High                          0.653128318
## 4027          Low                          0.953130962
## 4028         High                          0.618497773
## 4029         High                          0.630819500
## 4030         High                          0.819277477
## 4031         High                          1.322396053
## 4032         High                          0.318499048
## 4033          Low                          0.006744347
## 4034         High                          0.752350820
## 4035          Low                          1.523176874
## 4036          Low                          0.038554888
## 4037          Low                          4.640022108
## 4038         High                          0.395410989
## 4039          Low                          0.446720646
## 4040         High                          0.296190916
## 4041          Low                          0.742363712
## 4042         High                          0.908513112
## 4043          Low                          0.819277477
## 4044         High                          0.073139478
## 4045          Low                          0.306177677
## 4046          Low                          0.117738011
## 4047          Low                          0.073139478
## 4048          Low                          0.162347266
## 4049          Low                          0.318499048
## 4050          Low                          0.484645323
## 4051          Low                          0.965452758
## 4052         High                          0.206960310
## 4053         High                          0.819277477
## 4054         High                          0.965452758
## 4055         High                          0.819277477
## 4056         High                          0.738965498
## 4057          Low                          0.653128318
## 4058         High                          0.953130962
## 4059         High                          0.150027324
## 4060         High                          0.596188979
## 4061          Low                          0.128889754
## 4062          Low                          0.763505258
## 4063          Low                          0.177909668
## 4064         High                          0.596188979
## 4065         High                          0.484645323
## 4066         High                          0.373102537
## 4067          Low                          0.374269841
## 4068         High                          0.774659698
## 4069         High                          0.238859781
## 4070         High                          0.229267561
## 4071          Low                          0.742363712
## 4072         High                          0.551571446
## 4073         High                          0.840694021
## 4074         High                          0.350794157
## 4075         High                          0.018582705
## 4076          Low                          0.819277477
## 4077          Low                          0.965452758
## 4078         High                          0.716656635
## 4079          Low                          0.396578297
## 4080         High                          0.596188979
## 4081         High                          0.586201911
## 4082         High                          0.774659698
## 4083         High                          0.902987767
## 4084         High                          0.417719503
## 4085          Low                          1.255469140
## 4086          Low                          0.083120467
## 4087          Low                          0.261561731
## 4088          Low                          0.819277477
## 4089         High                          0.484645323
## 4090          Low                          0.194639615
## 4091         High                          2.527081871
## 4092          Low                          0.395410989
## 4093         High                          0.162347266
## 4094          Low                          0.073139478
## 4095         High                          0.067566473
## 4096          Low                          0.596188979
## 4097         High                          1.411631960
## 4098         High                          0.819277477
## 4099         High                          0.430041091
## 4100          Low                          0.596188979
## 4101         High                          0.596188979
## 4102         High                          0.819277477
## 4103         High                          0.099896507
## 4104         High                          0.099896507
## 4105         High                          0.965452758
## 4106         High                          0.716656635
## 4107         High                          0.395410989
## 4108          Low                          0.018582705
## 4109          Low                          0.707733092
## 4110          Low                          0.407732548
## 4111          Low                          0.819277477
## 4112          Low                          0.161180098
## 4113         High                          0.150027324
## 4114         High                          0.018582705
## 4115         High                          0.261561731
## 4116         High                          0.930822035
## 4117          Low                          1.076997463
## 4118          Low                          0.261561731
## 4119          Low                          0.596188979
## 4120          Low                          0.930822035
## 4121         High                          0.484645323
## 4122         High                          0.408796091
## 4123         High                          0.296190916
## 4124         High                          0.596188979
## 4125         High                          0.269421353
## 4126          Low                          0.484645323
## 4127         High                          0.863895283
## 4128         High                          0.819277477
## 4129         High                          0.596188979
## 4130          Low                          0.738965498
## 4131         High                          2.750171967
## 4132          Low                          1.166233282
## 4133          Low                          2.515927367
## 4134          Low                          1.302317978
## 4135         High                          0.417719503
## 4136         High                          0.573880202
## 4137         High                          0.407732548
## 4138          Low                          0.060828063
## 4139         High                          0.018582705
## 4140         High                          1.355859516
## 4141         High                          0.324024217
## 4142         High                          0.216946648
## 4143          Low                          0.407732548
## 4144          Low                          0.060828063
## 4145          Low                          0.908513112
## 4146         High                          0.395410989
## 4147          Low                          0.965452758
## 4148         High                          0.206960310
## 4149          Low                          0.261561731
## 4150         High                          0.993338925
## 4151         High                          0.156770835
## 4152         High                          0.993338925
## 4153          Low                          0.993338925
## 4154         High                          0.993338925
## 4155         High                          0.156770835
## 4156          Low                          0.474658311
## 4157          Low                          2.527081871
## 4158          Low                          0.206960310
## 4159         High                          0.396578297
## 4160          Low                          0.018582705
## 4161         High                          0.396578297
## 4162          Low                          0.407732548
## 4163         High                          0.038554888
## 4164          Low                          0.018582705
## 4165         High                          1.355859516
## 4166          Low                          0.324024217
## 4167          Low                          0.596188979
## 4168          Low                          0.819277477
## 4169          Low                          0.018582705
## 4170          Low                          0.407732548
## 4171         High                          0.060828063
## 4172          Low                          4.200257909
## 4173         High                          0.099896507
## 4174          Low                          0.853908158
## 4175         High                          0.676500707
## 4176          Low                          0.395410989
## 4177         High                          0.396578297
## 4178          Low                          0.018582705
## 4179         High                          3.642532502
## 4180         High                          0.318499048
## 4181         High                          0.261561731
## 4182          Low                          0.819277477
## 4183          Low                          0.717548989
## 4184          Low                          0.373102537
## 4185          Low                          0.930822035
## 4186          Low                          1.355859516
## 4187         High                          0.324024217
## 4188         High                          0.205793078
## 4189         High                          0.018582705
## 4190          Low                          0.130317211
## 4191          Low                          0.934079138
## 4192          Low                          0.165529744
## 4193         High                          2.861717023
## 4194         High                          0.853908158
## 4195          Low                          1.275547212
## 4196         High                          0.672038940
## 4197          Low                          0.430041091
## 4198          Low                          0.596188979
## 4199          Low                          0.596188979
## 4200         High                          0.094269618
## 4201          Low                          0.596188979
## 4202          Low                          0.519275673
## 4203          Low                          0.373102537
## 4204         High                          1.355859516
## 4205          Low                          0.324024217
## 4206         High                          0.853908158
## 4207          Low                          0.058599518
## 4208          Low                          0.573880202
## 4209          Low                          0.407732548
## 4210          Low                          0.596188979
## 4211          Low                          0.395410989
## 4212         High                          0.596188979
## 4213         High                          1.300087080
## 4214         High                          0.150027324
## 4215         High                          0.742363712
## 4216         High                          0.819277477
## 4217          Low                          0.261390535
## 4218         High                          0.953130962
## 4219          Low                          1.188542243
## 4220         High                          0.373102537
## 4221         High                          0.261390535
## 4222         High                          0.953130962
## 4223         High                          0.819277477
## 4224         High                          0.010971398
## 4225         High                          0.819277477
## 4226         High                          1.969356749
## 4227          Low                          0.462336676
## 4228          Low                          0.602903924
## 4229          Low                          0.446720646
## 4230         High                          1.099306413
## 4231         High                          0.105419902
## 4232         High                          0.150027324
## 4233         High                          0.853908158
## 4234         High                          0.676500707
## 4235         High                          0.396578297
## 4236          Low                          1.188542243
## 4237         High                          2.527081871
## 4238         High                          0.184653486
## 4239         High                          0.261561731
## 4240          Low                          0.707733092
## 4241          Low                          0.373102537
## 4242          Low                          0.819277477
## 4243         High                          0.150027324
## 4244          Low                          0.296190916
## 4245         High                          0.596188979
## 4246          Low                          0.519275673
## 4247         High                          0.150027324
## 4248          Low                          1.634721814
## 4249          Low                          0.150027324
## 4250          Low                          0.519275673
## 4251          Low                          0.663115407
## 4252         High                          0.150027324
## 4253          Low                          0.261561731
## 4254         High                          0.350794157
## 4255          Low                          0.358653963
## 4256         High                          0.229267561
## 4257          Low                          0.596188979
## 4258          Low                          0.018582705
## 4259          Low                          0.373102537
## 4260         High                          0.819277477
## 4261          Low                          3.544372835
## 4262         High                          0.974376331
## 4263         High                          0.930822035
## 4264          Low                          0.240369430
## 4265          Low                          0.421117667
## 4266         High                          1.112691785
## 4267          Low                          0.296190916
## 4268         High                          0.484645323
## 4269         High                          0.018582705
## 4270         High                          0.395410989
## 4271         High                          0.853908158
## 4272         High                          0.058599518
## 4273          Low                          0.018582705
## 4274          Low                          0.853908158
## 4275          Low                          0.676500707
## 4276         High                          0.018582705
## 4277         High                          0.707733092
## 4278          Low                          0.707733092
## 4279          Low                          0.738965498
## 4280         High                          0.038554888
## 4281         High                          0.018582705
## 4282         High                          0.707733092
## 4283         High                          0.417719503
## 4284         High                          0.018582705
## 4285         High                          0.099896507
## 4286         High                          0.395410989
## 4287         High                          0.819277477
## 4288          Low                          0.018582705
## 4289          Low                          0.038554888
## 4290         High                          0.018582705
## 4291         High                          0.853908158
## 4292          Low                          0.676500707
## 4293          Low                          0.296190916
## 4294         High                          0.261561731
## 4295         High                          0.018582705
## 4296         High                          0.852740829
## 4297         High                          0.853908158
## 4298         High                          0.038554888
## 4299         High                          0.546527164
## 4300          Low                          0.948669176
## 4301          Low                          0.373102537
## 4302         High                          0.819277477
## 4303         High                          0.150027324
## 4304          Low                          0.596188979
## 4305         High                          0.296190916
## 4306         High                          0.819277477
## 4307          Low                          0.044171570
## 4308         High                          0.587377010
## 4309         High                          2.527081871
## 4310         High                          0.853908158
## 4311          Low                          0.261390535
## 4312         High                          0.953130962
## 4313         High                          0.106029307
## 4314         High                          0.666060172
## 4315         High                          0.296190916
## 4316         High                          0.261390535
## 4317         High                          0.953130962
## 4318         High                          0.296190916
## 4319         High                          0.150027324
## 4320         High                          0.519275673
## 4321         High                          0.150027324
## 4322         High                          0.484645323
## 4323          Low                          0.176794350
## 4324         High                          0.596188979
## 4325          Low                          1.411631960
## 4326         High                          0.010971398
## 4327         High                          0.296190916
## 4328         High                          0.930822035
## 4329          Low                          0.965408140
## 4330         High                          0.717883622
## 4331         High                          0.630819500
## 4332         High                          0.618497773
## 4333          Low                          0.965408140
## 4334         High                          0.717883622
## 4335         High                          0.083120467
## 4336         High                          1.119384472
## 4337          Low                          0.614036013
## 4338         High                          1.260488658
## 4339         High                          0.155046042
## 4340         High                          0.261561731
## 4341         High                          0.819277477
## 4342          Low                          0.519275673
## 4343          Low                          0.150027324
## 4344          Low                          0.863895283
## 4345          Low                          0.073139478
## 4346         High                          0.106029307
## 4347         High                          0.596188979
## 4348         High                          0.697745993
## 4349          Low                          0.924129358
## 4350         High                          0.193576155
## 4351         High                          0.106029307
## 4352         High                          0.452349681
## 4353         High                          0.752350820
## 4354         High                          0.106029307
## 4355         High                          0.106029307
## 4356         High                          0.106029307
## 4357         High                          0.106029307
## 4358         High                          0.296190916
## 4359          Low                          0.452349681
## 4360         High                          0.752350820
## 4361         High                          0.106029307
## 4362          Low                          0.106029307
## 4363         High                          0.106029307
## 4364          Low                          0.200268211
## 4365         High                          0.819277477
## 4366         High                          0.953130962
## 4367         High                          0.193576155
## 4368         High                          0.193576155
## 4369         High                          0.193576155
## 4370          Low                          0.073139478
## 4371         High                          0.596188979
## 4372          Low                          0.176794350
## 4373         High                          0.073139478
## 4374         High                          0.150027324
## 4375         High                          0.484645323
## 4376          Low                          0.073139478
## 4377          Low                          0.163410682
## 4378          Low                          0.730041951
## 4379         High                          0.160116687
## 4380          Low                          0.801259157
## 4381         High                          0.101851711
## 4382         High                          0.819277477
## 4383         High                          2.471309350
## 4384          Low                          1.634721814
## 4385         High                          0.140041938
## 4386         High                          1.411631960
## 4387         High                          0.106029307
## 4388          Low                          0.328485864
## 4389          Low                          0.630819500
## 4390         High                          0.506954003
## 4391          Low                          2.527081871
## 4392         High                          1.411631960
## 4393          Low                          0.150027324
## 4394          Low                          0.819277477
## 4395          Low                          1.411631960
## 4396         High                          0.106029307
## 4397          Low                          0.581740156
## 4398         High                          0.779121474
## 4399          Low                          0.484645323
## 4400         High                          0.163410682
## 4401         High                          0.730041951
## 4402         High                          0.106029307
## 4403         High                          0.106029307
## 4404         High                          0.106029307
## 4405          Low                          0.106029307
## 4406         High                          0.106029307
## 4407         High                          0.106029307
## 4408         High                          0.106029307
## 4409         High                          0.106029307
## 4410         High                          0.296190916
## 4411         High                          0.150027324
## 4412         High                          0.296190916
## 4413         High                          0.387654906
## 4414         High                          1.411631960
## 4415         High                          0.106029307
## 4416         High                          0.106029307
## 4417          Low                          0.106029307
## 4418          Low                          0.373102537
## 4419          Low                          0.261561731
## 4420          Low                          1.411631960
## 4421          Low                          0.596188979
## 4422          Low                          0.930822035
## 4423          Low                          0.904051329
## 4424         High                          0.853908158
## 4425          Low                          0.596188979
## 4426          Low                          0.020791761
## 4427          Low                          1.300087080
## 4428         High                          0.150027324
## 4429         High                          0.374269841
## 4430          Low                          0.774659698
## 4431          Low                          1.411631960
## 4432         High                          0.016379571
## 4433         High                          0.846048158
## 4434         High                          0.306177677
## 4435         High                          0.374269841
## 4436         High                          0.774659698
## 4437         High                          0.016379571
## 4438         High                          0.846048158
## 4439         High                          0.640806583
## 4440          Low                          0.373102537
## 4441          Low                          0.296190916
## 4442         High                          0.819277477
## 4443         High                          0.657590083
## 4444         High                          0.950900069
## 4445          Low                          1.411631960
## 4446         High                          0.430041091
## 4447         High                          0.259330953
## 4448         High                          0.065337474
## 4449         High                          0.484734558
## 4450          Low                          0.840694021
## 4451          Low                          0.730041951
## 4452         High                          0.296190916
## 4453         High                          0.819277477
## 4454         High                          0.200268211
## 4455         High                          0.373102537
## 4456         High                          0.296190916
## 4457          Low                          0.160116687
## 4458         High                          0.261561731
## 4459          Low                          0.030823226
## 4460         High                          1.382630288
## 4461          Low                          0.437797209
## 4462         High                          1.300087080
## 4463          Low                          0.407732548
## 4464         High                          1.411631960
## 4465          Low                          0.061994233
## 4466         High                          0.203562376
## 4467         High                          1.411631960
## 4468         High                          0.360884801
## 4469          Low                          0.930822035
## 4470         High                          0.160116687
## 4471         High                          0.150027324
## 4472          Low                          0.657590083
## 4473          Low                          0.950900069
## 4474          Low                          0.653128318
## 4475          Low                          0.953130962
## 4476          Low                          0.819277477
## 4477          Low                          1.411631960
## 4478         High                          1.645876309
## 4479         High                          0.259330953
## 4480         High                          0.519275673
## 4481         High                          0.445634790
## 4482          Low                          0.296190916
## 4483          Low                          1.411631960
## 4484         High                          1.411631960
## 4485          Low                          1.411631960
## 4486          Low                          0.596188979
## 4487          Low                          0.771365250
## 4488          Low                          0.848279048
## 4489          Low                          1.395123316
## 4490         High                          0.029660707
## 4491         High                          0.373102537
## 4492          Low                          0.150027324
## 4493          Low                          0.596188979
## 4494          Low                          0.296190916
## 4495          Low                          0.596188979
## 4496          Low                          0.596188979
## 4497          Low                          0.296190916
## 4498          Low                          0.150027324
## 4499          Low                          0.752350820
## 4500         High                          0.519275673
## 4501          Low                          0.817604310
## 4502          Low                          0.596188979
## 4503          Low                          0.360884801
## 4504         High                          0.261561731
## 4505         High                          0.016379571
## 4506         High                          0.846048158
## 4507         High                          1.188542243
## 4508         High                          0.596188979
## 4509          Low                          2.527081871
## 4510         High                          0.296190916
## 4511         High                          0.296190916
## 4512         High                          0.930822035
## 4513          Low                          0.637512144
## 4514          Low                          0.636344819
## 4515          Low                          0.499197845
## 4516         High                          0.716656635
## 4517         High                          0.261561731
## 4518          Low                          0.707733092
## 4519          Low                          0.506954003
## 4520         High                          0.373102537
## 4521          Low                          0.065337474
## 4522         High                          0.484734558
## 4523          Low                          0.475721860
## 4524          Low                          0.491947524
## 4525          Low                          0.868357065
## 4526         High                          0.069743750
## 4527         High                          0.065337474
## 4528         High                          0.484734558
## 4529          Low                          0.637512144
## 4530         High                          1.634721814
## 4531         High                          0.150027324
## 4532          Low                          0.596188979
## 4533          Low                          1.210851207
## 4534          Low                          0.618497773
## 4535         High                          0.150027324
## 4536         High                          1.233160172
## 4537         High                          0.296190916
## 4538         High                          0.479737418
## 4539         High                          0.106757996
## 4540          Low                          0.744817688
## 4541         High                          0.594404276
## 4542          Low                          0.150027324
## 4543          Low                          0.707733092
## 4544          Low                          0.373102537
## 4545         High                          0.819277477
## 4546         High                          0.908513112
## 4547         High                          0.373102537
## 4548          Low                          0.566250605
## 4549          Low                          0.440028067
## 4550          Low                          0.552738767
## 4551         High                          0.126659366
## 4552         High                          0.596188979
## 4553         High                          0.819277477
## 4554          Low                          0.440028067
## 4555         High                          0.475721860
## 4556         High                          1.275547212
## 4557         High                          0.672038940
## 4558         High                          0.831599255
## 4559         High                          0.420508071
## 4560          Low                          0.261561731
## 4561         High                          0.499197845
## 4562         High                          0.716656635
## 4563         High                          0.150027324
## 4564         High                          0.596188979
## 4565         High                          0.414425105
## 4566          Low                          0.239254052
## 4567         High                          0.953130962
## 4568         High                          0.298421723
## 4569         High                          0.596188979
## 4570         High                          0.414425105
## 4571         High                          0.414425105
## 4572         High                          0.045233131
## 4573         High                          0.259330953
## 4574          Low                          0.930822035
## 4575         High                          0.608510697
## 4576         High                          0.131120159
## 4577         High                          1.777499368
## 4578         High                          0.588878964
## 4579         High                          0.707733092
## 4580         High                          0.445634790
## 4581         High                          0.130317211
## 4582         High                          0.934079138
## 4583         High                          0.965452758
## 4584         High                          0.819277477
## 4585          Low                          0.813477164
## 4586          Low                          0.373102537
## 4587         High                          0.819277477
## 4588          Low                          0.596188979
## 4589         High                          0.730041951
## 4590         High                          0.519275673
## 4591         High                          0.519275673
## 4592         High                          0.519275673
## 4593          Low                          0.519275673
## 4594          Low                          0.817604310
## 4595         High                          0.744817688
## 4596         High                          0.594404276
## 4597         High                          0.373102537
## 4598         High                          0.965452758
## 4599         High                          0.742363712
## 4600         High                          0.767523549
## 4601         High                          0.742363712
## 4602         High                          0.296190916
## 4603         High                          3.062498132
## 4604         High                          0.653128318
## 4605         High                          0.519275673
## 4606          Low                          0.036329989
## 4607         High                          1.000097850
## 4608          Low                          0.663115407
## 4609         High                          0.296190916
## 4610          Low                          0.484645323
## 4611         High                          0.752350820
## 4612         High                          0.763505258
## 4613          Low                          4.869528438
## 4614          Low                          0.819277477
## 4615          Low                          1.188542243
## 4616          Low                          4.311802994
## 4617         High                          0.216946648
## 4618         High                          0.742363712
## 4619         High                          0.819277477
## 4620          Low                          0.953130962
## 4621          Low                          0.783860030
## 4622          Low                          0.296190916
## 4623          Low                          0.296190916
## 4624         High                          0.373102537
## 4625          Low                          0.819277477
## 4626          Low                          1.411631960
## 4627         High                          0.965452758
## 4628         High                          5.873434285
## 4629         High                          0.953130962
## 4630          Low                          0.819277477
## 4631         High                          0.752350820
## 4632         High                          1.857811755
## 4633         High                          1.033234679
## 4634         High                          1.411631960
## 4635         High                          0.373102537
## 4636         High                          1.076997463
## 4637         High                          0.819277477
## 4638         High                          0.853908158
## 4639         High                          0.819277477
## 4640         High                          0.760959062
## 4641         High                          0.819277477
## 4642         High                          1.991665749
## 4643          Low                          0.028601871
## 4644          Low                          0.596188979
## 4645         High                          0.296190916
## 4646          Low                          0.283869622
## 4647         High                          0.373102537
## 4648         High                          0.484645323
## 4649         High                          1.634721814
## 4650          Low                          0.150027324
## 4651          Low                          0.296190916
## 4652          Low                          0.296190916
## 4653          Low                          1.545485860
## 4654         High                          0.038554888
## 4655          Low                          0.819277477
## 4656         High                          0.596188979
## 4657         High                          0.073139478
## 4658         High                          0.886204195
## 4659          Low                          0.283869622
## 4660         High                          0.184653486
## 4661         High                          5.114927640
## 4662         High                          0.853908158
## 4663          Low                          3.084807145
## 4664         High                          0.296190916
## 4665          Low                          0.596188979
## 4666         High                          0.484645323
## 4667         High                          0.038554888
## 4668         High                          0.774659698
## 4669          Low                          0.656098275
## 4670         High                          1.079246219
## 4671          Low                          1.076997463
## 4672         High                          0.077598322
## 4673          Low                          0.417719503
## 4674         High                          5.271090771
## 4675          Low                          0.484645323
## 4676         High                          5.025691566
## 4677         High                          0.796968584
## 4678         High                          0.318963357
## 4679         High                          0.527675797
## 4680         High                          0.271149936
## 4681          Low                          0.547676922
## 4682         High                          0.121749933
## 4683         High                          0.741757981
## 4684          Low                          0.741757981
## 4685          Low                          1.483547426
## 4686          Low                          1.607221049
## 4687          Low                          0.233233927
## 4688         High                          0.679370564
## 4689         High                          0.770758920
## 4690          Low                          0.324606222
## 4691          Low                          0.819837560
## 4692         High                          0.101621246
## 4693          Low                          0.681525475
## 4694          Low                          0.024042324
## 4695          Low                          0.532061440
## 4696         High                          0.576753137
## 4697         High                          0.369218475
## 4698         High                          0.244385394
## 4699         High                          0.764066391
## 4700          Low                          0.121749933
## 4701          Low                          0.819837560
## 4702         High                          0.487446073
## 4703          Low                          0.024042324
## 4704         High                          0.532061440
## 4705          Low                          0.746295576
## 4706          Low                          0.924763728
## 4707          Low                          0.614600895
## 4708          Low                          1.049692249
## 4709          Low                          0.799715300
## 4710         High                          0.226623411
## 4711          Low                          0.121749933
## 4712         High                          0.679370564
## 4713          Low                          0.919788181
## 4714          Low                          1.237087722
## 4715          Low                          0.344757459
## 4716         High                          0.790912444
## 4717          Low                          0.189068657
## 4718         High                          0.391525097
## 4719          Low                          0.297839702
## 4720         High                          0.253230860
## 4721         High                          0.121749933
## 4722         High                          0.324606222
## 4723         High                          0.621293329
## 4724         High                          0.391525097
## 4725         High                          0.547676922
## 4726         High                          0.257691601
## 4727         High                          0.770758920
## 4728          Low                          0.723987197
## 4729          Low                          0.532061440
## 4730          Low                          0.547676922
## 4731          Low                          0.032862744
## 4732         High                          0.837684373
## 4733          Low                          0.235388300
## 4734         High                          0.297839702
## 4735         High                          0.391525097
## 4736         High                          0.569984832
## 4737          Low                          1.360142814
## 4738         High                          1.607221049
## 4739         High                          0.703833774
## 4740         High                          0.101621246
## 4741          Low                          0.144039162
## 4742         High                          0.547676922
## 4743         High                          0.011517406
## 4744          Low                          0.144039162
## 4745         High                          1.181313826
## 4746         High                          0.063964825
## 4747          Low                          0.547676922
## 4748          Low                          0.213086196
## 4749         High                          0.614600895
## 4750          Low                          1.051923119
## 4751         High                          0.213086196
## 4752         High                          0.233233927
## 4753         High                          0.255578126
## 4754         High                          1.557731950
## 4755          Low                          1.424687348
## 4756          Low                          1.679741714
## 4757         High                          0.520129169
## 4758          Low                          0.992545860
## 4759          Low                          0.520129169
## 4760          Low                          0.992545860
## 4761         High                          0.730459160
## 4762         High                          0.477046033
## 4763         High                          0.770758920
## 4764         High                          0.434689109
## 4765         High                          0.655946909
## 4766         High                          0.572215628
## 4767         High                          0.346912162
## 4768          Low                          0.721756361
## 4769          Low                          0.456291539
## 4770          Low                          0.902455122
## 4771          Low                          0.121749933
## 4772         High                          0.121749933
## 4773         High                          1.308809674
## 4774         High                          1.517420550
## 4775          Low                          0.121749933
## 4776         High                          0.121749933
## 4777          Low                          0.121749933
## 4778          Low                          0.101621246
## 4779          Low                          0.567829952
## 4780         High                          1.607221049
## 4781         High                          0.768603993
## 4782          Low                          0.346912162
## 4783          Low                          0.614600895
## 4784         High                          1.049692249
## 4785         High                          0.659217226
## 4786         High                          0.101621246
## 4787          Low                          0.318056861
## 4788          Low                          0.871499272
## 4789          Low                          0.192569677
## 4790         High                          0.192569677
## 4791          Low                          0.721756361
## 4792         High                          0.192569677
## 4793          Low                          1.686493798
## 4794         High                          1.686493798
## 4795          Low                          0.770758920
## 4796         High                          0.346912162
## 4797          Low                          0.576753137
## 4798         High                          0.231003669
## 4799         High                          0.614600895
## 4800          Low                          1.049692249
## 4801          Low                          0.344757459
## 4802          Low                          0.790912444
## 4803          Low                          0.721756361
## 4804          Low                          0.659217226
## 4805          Low                          0.121749933
## 4806          Low                          0.063964825
## 4807         High                          0.384908991
## 4808          Low                          0.743988820
## 4809         High                          0.992545860
## 4810          Low                          1.237087722
## 4811         High                          0.815375860
## 4812          Low                          0.773659017
## 4813         High                          0.459191497
## 4814          Low                          0.005695146
## 4815         High                          0.681525475
## 4816          Low                          0.815375860
## 4817         High                          0.369218475
## 4818         High                          0.244385394
## 4819         High                          0.235388300
## 4820          Low                          0.344757459
## 4821         High                          0.503061397
## 4822          Low                          0.458446363
## 4823          Low                          0.681525475
## 4824          Low                          0.436139076
## 4825         High                          0.487446073
## 4826         High                          1.013998335
## 4827         High                          1.125541924
## 4828          Low                          0.436139076
## 4829         High                          0.592292826
## 4830          Low                          0.123902694
## 4831         High                          0.480753810
## 4832          Low                          0.436339841
## 4833         High                          0.493344264
## 4834          Low                          0.150651206
## 4835         High                          0.304607167
## 4836         High                          0.547676922
## 4837         High                          0.213086196
## 4838          Low                          0.614600895
## 4839          Low                          1.051923119
## 4840          Low                          0.456291539
## 4841         High                          0.558830866
## 4842         High                          0.235388300
## 4843         High                          0.536598916
## 4844         High                          1.382093109
## 4845         High                          0.300146122
## 4846          Low                          0.721756361
## 4847         High                          0.324606222
## 4848         High                          0.547676922
## 4849         High                          0.721756361
## 4850         High                          0.106076608
## 4851         High                          0.721756361
## 4852         High                          0.271149936
## 4853         High                          0.271149936
## 4854          Low                          0.721756361
## 4855         High                          0.132817866
## 4856          Low                          0.614600895
## 4857          Low                          1.049692249
## 4858          Low                          0.721756361
## 4859         High                          0.271149936
## 4860         High                          0.659217226
## 4861         High                          0.213086196
## 4862         High                          0.766520318
## 4863          Low                          0.225985634
## 4864          Low                          0.764066391
## 4865          Low                          0.748450500
## 4866         High                          0.255537126
## 4867          Low                          0.480753810
## 4868         High                          0.902455122
## 4869         High                          0.681525475
## 4870         High                          0.748450500
## 4871         High                          0.819837560
## 4872         High                          0.648063121
## 4873         High                          0.389294422
## 4874         High                          0.213086196
## 4875          Low                          0.233233927
## 4876         High                          0.213086196
## 4877          Low                          0.344757459
## 4878         High                          0.500906547
## 4879         High                          0.880146538
## 4880         High                          0.359180593
## 4881         High                          0.721756361
## 4882         High                          0.799715300
## 4883          Low                          0.226623411
## 4884          Low                          0.079355292
## 4885          Low                          0.121749933
## 4886         High                          0.280071717
## 4887          Low                          0.547676922
## 4888          Low                          0.101621246
## 4889          Low                          0.121749933
## 4890         High                          0.106076608
## 4891          Low                          0.547676922
## 4892         High                          0.121749933
## 4893          Low                          0.017600782
## 4894         High                          0.324606222
## 4895         High                          0.317990431
## 4896          Low                          1.054153990
## 4897         High                          0.547676922
## 4898          Low                          0.681525475
## 4899          Low                          0.636909030
## 4900          Low                          0.659217226
## 4901         High                          0.324606222
## 4902         High                          0.271149936
## 4903         High                          0.028401288
## 4904          Low                          1.065308347
## 4905         High                          0.436139076
## 4906          Low                          0.121749933
## 4907          Low                          0.884608253
## 4908          Low                          0.271149936
## 4909          Low                          0.533565054
## 4910          Low                          0.121749933
## 4911          Low                          0.681525475
## 4912          Low                          0.144039162
## 4913         High                          0.819837560
## 4914         High                          0.233233927
## 4915         High                          0.679370564
## 4916         High                          0.213086196
## 4917         High                          0.011517406
## 4918         High                          0.344757459
## 4919         High                          0.567829952
## 4920          Low                          0.770758920
## 4921         High                          0.121749933
## 4922         High                          0.679370564
## 4923          Low                          0.322451558
## 4924          Low                          0.324606222
## 4925         High                          0.614600895
## 4926          Low                          1.049692249
## 4927         High                          0.721756361
## 4928         High                          0.721756361
## 4929          Low                          0.271149936
## 4930          Low                          0.819837560
## 4931         High                          0.288917707
## 4932          Low                          0.770758920
## 4933          Low                          0.268919510
## 4934          Low                          0.286381280
## 4935          Low                          0.592292826
## 4936          Low                          0.558830866
## 4937         High                          0.235388300
## 4938         High                          0.681525475
## 4939         High                          0.322451558
## 4940          Low                          0.532061440
## 4941         High                          0.837684373
## 4942          Low                          0.612446000
## 4943          Low                          0.659217226
## 4944          Low                          0.101621246
## 4945         High                          0.815375860
## 4946         High                          0.072756352
## 4947         High                          0.714987940
## 4948          Low                          0.534368135
## 4949         High                          0.770758920
## 4950          Low                          0.436139076
## 4951         High                          0.501946015
## 4952          Low                          0.286381280
## 4953         High                          0.634195960
## 4954         High                          0.450580862
## 4955         High                          0.754884313
## 4956         High                          0.121749933
## 4957         High                          0.121749933
## 4958         High                          0.436139076
## 4959         High                          1.013998335
## 4960         High                          1.192468214
## 4961          Low                          0.121749933
## 4962          Low                          0.567829952
## 4963          Low                          0.819837560
## 4964          Low                          0.659217226
## 4965          Low                          0.121749933
## 4966          Low                          0.576753137
## 4967         High                          0.681525475
## 4968         High                          0.101621246
## 4969         High                          0.233233927
## 4970          Low                          0.630216583
## 4971         High                          0.768603993
## 4972          Low                          1.080924451
## 4973          Low                          0.681525475
## 4974          Low                          1.036307027
## 4975          Low                          1.237085787
## 4976          Low                          0.503061397
## 4977         High                          1.237085787
## 4978         High                          0.961476823
## 4979         High                          1.123487792
## 4980          Low                          1.884043101
## 4981          Low                          0.659217226
## 4982          Low                          0.324606222
## 4983          Low                          0.770758920
## 4984         High                          1.483547426
## 4985         High                          1.483547426
## 4986         High                          0.598985240
## 4987          Low                          0.344757459
## 4988         High                          0.567829952
## 4989          Low                          0.271149936
## 4990          Low                          0.271149936
## 4991          Low                          0.614600895
## 4992         High                          1.051923119
## 4993         High                          0.469675981
## 4994          Low                          0.046034621
## 4995          Low                          0.011517406
## 4996         High                          0.679370564
## 4997         High                          0.770758920
## 4998         High                          0.166333697
## 4999          Low                          0.819837560
## 5000         High                          0.213086196
## 5001          Low                          0.456291539
## 5002          Low                          0.324606222
## 5003          Low                          0.332413254
## 5004          Low                          0.692755535
## 5005         High                          0.388210383
## 5006          Low                          0.480753810
## 5007         High                          1.794807424
## 5008          Low                          0.514215238
## 5009         High                          0.449523427
## 5010          Low                          0.598985240
## 5011         High                          0.556823155
## 5012          Low                          0.300146122
## 5013         High                          0.074905177
## 5014         High                          0.351373397
## 5015         High                          0.721756361
## 5016         High                          0.123902694
## 5017         High                          0.547676922
## 5018          Low                          0.006523642
## 5019          Low                          0.438445709
## 5020          Low                          0.743988820
## 5021         High                          0.112836433
## 5022          Low                          0.641370665
## 5023         High                          0.050541909
## 5024          Low                          0.011517406
## 5025         High                          0.456291539
## 5026          Low                          0.101621246
## 5027         High                          0.233233927
## 5028          Low                          0.224312971
## 5029          Low                          1.063077475
## 5030          Low                          0.101621246
## 5031         High                          0.433984270
## 5032         High                          0.436139076
## 5033         High                          0.400523731
## 5034         High                          0.576753137
## 5035         High                          0.619062517
## 5036          Low                          0.478598972
## 5037         High                          0.277841261
## 5038          Low                          0.408255235
## 5039          Low                          0.416062678
## 5040          Low                          0.324606222
## 5041         High                          0.112836433
## 5042          Low                          0.508638314
## 5043         High                          0.219776680
## 5044          Low                          0.099393781
## 5045         High                          0.987227925
## 5046         High                          0.679370564
## 5047         High                          0.721756361
## 5048          Low                          0.737519387
## 5049          Low                          0.222305785
## 5050          Low                          0.101621246
## 5051          Low                          0.621293329
## 5052          Low                          0.281284917
## 5053         High                          0.656706737
## 5054         High                          0.112760607
## 5055         High                          0.032862744
## 5056          Low                          0.576753137
## 5057         High                          0.391525097
## 5058         High                          0.884608253
## 5059         High                          0.527675797
## 5060          Low                          0.659217226
## 5061         High                          0.512060381
## 5062         High                          0.005680258
## 5063          Low                          0.068232867
## 5064          Low                          0.594599545
## 5065          Low                          0.024042324
## 5066         High                          0.101621246
## 5067         High                          0.324606222
## 5068         High                          0.011517406
## 5069          Low                          0.101621246
## 5070          Low                          0.400523731
## 5071          Low                          1.013998335
## 5072         High                          1.125541924
## 5073          Low                          0.213086196
## 5074         High                          0.659217226
## 5075          Low                          0.121749933
## 5076         High                          0.011517406
## 5077         High                          0.233233927
## 5078         High                          0.024042324
## 5079          Low                          0.503061397
## 5080          Low                          0.534368135
## 5081          Low                          0.636909030
## 5082         High                          0.121749933
## 5083         High                          0.837684373
## 5084         High                          0.480753810
## 5085          Low                          0.681525475
## 5086         High                          0.480829724
## 5087          Low                          0.121749933
## 5088         High                          0.679370564
## 5089          Low                          0.344757459
## 5090         High                          0.253306760
## 5091          Low                          0.772989764
## 5092          Low                          0.487446073
## 5093          Low                          0.681525475
## 5094         High                          0.681525475
## 5095         High                          0.681525475
## 5096         High                          0.413831977
## 5097         High                          0.605677659
## 5098         High                          0.681525475
## 5099         High                          0.679370564
## 5100          Low                          0.605677659
## 5101          Low                          0.123902694
## 5102         High                          0.032862744
## 5103         High                          0.681525475
## 5104         High                          0.456291539
## 5105         High                          0.679370564
## 5106          Low                          0.279995814
## 5107          Low                          0.137275863
## 5108         High                          0.603446852
## 5109         High                          0.456291539
## 5110         High                          0.679370564
## 5111         High                          0.257366033
## 5112         High                          1.193315948
## 5113          Low                          0.213086196
## 5114          Low                          0.721756361
## 5115          Low                          0.770758920
## 5116          Low                          0.101621246
## 5117         High                          0.567754037
## 5118         High                          0.730679706
## 5119         High                          0.284456747
## 5120          Low                          0.723987197
## 5121          Low                          0.708295439
## 5122          Low                          0.895762545
## 5123         High                          0.316486967
## 5124          Low                          0.782569080
## 5125         High                          0.011517406
## 5126         High                          0.857837975
## 5127          Low                          0.077205786
## 5128          Low                          0.238363566
## 5129         High                          0.527675797
## 5130          Low                          0.614600895
## 5131         High                          1.049692249
## 5132         High                          0.011517406
## 5133         High                          0.679370564
## 5134         High                          1.545236375
## 5135          Low                          1.606920840
## 5136          Low                          0.328175144
## 5137         High                          0.268919510
## 5138         High                          0.302300736
## 5139         High                          0.759680622
## 5140         High                          0.234273163
## 5141         High                          0.800505088
## 5142          Low                          0.790836528
## 5143          Low                          0.235388300
## 5144          Low                          0.344757459
## 5145         High                          0.271149936
## 5146         High                          0.657062320
## 5147         High                          0.306761792
## 5148         High                          0.547676922
## 5149         High                          0.436139076
## 5150         High                          0.177482330
## 5151         High                          0.121749933
## 5152         High                          0.679370564
## 5153         High                          1.888493147
## 5154          Low                          0.427216212
## 5155          Low                          0.106076608
## 5156          Low                          0.268919510
## 5157         High                          0.101621246
## 5158          Low                          0.355910556
## 5159         High                          0.902455122
## 5160          Low                          0.456291539
## 5161          Low                          0.973842729
## 5162          Low                          0.931887267
## 5163         High                          1.004713451
## 5164         High                          0.235388300
## 5165         High                          0.735141382
## 5166          Low                          0.050067372
## 5167          Low                          0.681525475
## 5168          Low                          0.469600068
## 5169          Low                          0.213086196
## 5170          Low                          0.422830704
## 5171         High                          1.451250541
## 5172         High                          0.681525475
## 5173          Low                          0.028401288
## 5174          Low                          0.188631658
## 5175         High                          0.324606222
## 5176          Low                          0.389370333
## 5177         High                          1.013998335
## 5178          Low                          0.391525097
## 5179         High                          0.264614810
## 5180          Low                          0.532061440
## 5181         High                          0.332413254
## 5182          Low                          0.692755535
## 5183         High                          0.007860543
## 5184         High                          0.413831977
## 5185         High                          0.413831977
## 5186         High                          0.512060381
## 5187         High                          0.286381280
## 5188          Low                          0.233233927
## 5189         High                          0.567829952
## 5190          Low                          0.569984832
## 5191         High                          0.101621246
## 5192          Low                          0.512060381
## 5193          Low                          0.614600895
## 5194          Low                          1.049692249
## 5195         High                          0.547676922
## 5196         High                          0.594599545
## 5197         High                          1.368707806
## 5198         High                          0.721756361
## 5199         High                          0.567829952
## 5200          Low                          0.567829952
## 5201         High                          0.324606222
## 5202         High                          0.101621246
## 5203         High                          0.344757459
## 5204         High                          0.026291667
## 5205         High                          0.772989764
## 5206         High                          0.054978670
## 5207         High                          0.213086196
## 5208          Low                          0.551099018
## 5209         High                          1.271664429
## 5210          Low                          0.442907156
## 5211         High                          1.080924451
## 5212          Low                          0.146192553
## 5213         High                          0.316486967
## 5214          Low                          0.782569080
## 5215         High                          0.146870324
## 5216          Low                          1.055024030
## 5217         High                          0.726142117
## 5218          Low                          0.445137882
## 5219         High                          0.030591891
## 5220         High                          0.436139076
## 5221         High                          0.547676922
## 5222          Low                          0.576753137
## 5223          Low                          0.585868116
## 5224          Low                          0.683832219
## 5225         High                          0.933687176
## 5226         High                          0.737519387
## 5227         High                          0.222305785
## 5228         High                          0.520129169
## 5229         High                          0.992545860
## 5230          Low                          0.770758920
## 5231         High                          0.714987940
## 5232         High                          0.534368135
## 5233         High                          0.752912181
## 5234         High                          0.244036736
## 5235         High                          0.751795667
## 5236          Low                          0.344757459
## 5237         High                          0.224237076
## 5238          Low                          0.101621246
## 5239         High                          0.790912444
## 5240         High                          0.815375860
## 5241         High                          0.077205786
## 5242          Low                          0.806452462
## 5243         High                          0.355834647
## 5244         High                          0.681525475
## 5245         High                          1.125541924
## 5246          Low                          1.259394586
## 5247         High                          0.659217226
## 5248          Low                          0.101621246
## 5249         High                          0.547676922
## 5250          Low                          0.011517406
## 5251         High                          0.790912444
## 5252          Low                          0.011517406
## 5253         High                          0.121749933
## 5254          Low                          0.024042324
## 5255         High                          0.751795667
## 5256         High                          0.226467295
## 5257          Low                          0.574522340
## 5258          Low                          0.795298222
## 5259         High                          0.413907888
## 5260          Low                          0.632447398
## 5261         High                          0.324606222
## 5262         High                          0.456291539
## 5263         High                          0.436139076
## 5264         High                          0.636909030
## 5265          Low                          0.770758920
## 5266          Low                          0.902455122
## 5267         High                          1.360142814
## 5268         High                          1.360142814
## 5269         High                          0.101621246
## 5270          Low                          0.715063856
## 5271          Low                          0.547676922
## 5272          Low                          0.184171852
## 5273         High                          0.880146538
## 5274          Low                          0.770758920
## 5275          Low                          0.480829724
## 5276          Low                          0.547676922
## 5277         High                          0.086776370
## 5278          Low                          0.279995814
## 5279         High                          0.480753810
## 5280         High                          1.029259407
## 5281         High                          0.770758920
## 5282         High                          0.681525475
## 5283          Low                          0.257366033
## 5284          Low                          1.193315948
## 5285         High                          0.648063121
## 5286         High                          0.681525475
## 5287          Low                          0.032862744
## 5288          Low                          0.101621246
## 5289         High                          0.344757459
## 5290         High                          0.213086196
## 5291         High                          0.837684373
## 5292         High                          0.257691601
## 5293         High                          0.547676922
## 5294         High                          0.101621246
## 5295          Low                          0.871499272
## 5296         High                          1.237087722
## 5297          Low                          0.547676922
## 5298         High                          0.084652533
## 5299         High                          0.829416903
## 5300         High                          1.123487792
## 5301          Low                          1.239300842
## 5302          Low                          0.549983624
## 5303          Low                          1.152312429
## 5304         High                          0.931887267
## 5305          Low                          1.004713451
## 5306         High                          0.324606222
## 5307         High                          0.101621246
## 5308         High                          0.815375860
## 5309         High                          0.427216212
## 5310         High                          0.902455122
## 5311         High                          1.013998335
## 5312         High                          0.594523630
## 5313         High                          0.826606030
## 5314         High                          0.101621246
## 5315          Low                          0.770758920
## 5316         High                          0.400523731
## 5317         High                          0.958226674
## 5318         High                          0.815375860
## 5319          Low                          0.503061397
## 5320         High                          0.547676922
## 5321          Low                          0.759604706
## 5322         High                          0.026291667
## 5323         High                          0.525369106
## 5324         High                          0.742873401
## 5325         High                          0.324606222
## 5326         High                          0.121749933
## 5327          Low                          0.547676922
## 5328         High                          0.764066391
## 5329         High                          0.793067374
## 5330         High                          0.344757459
## 5331         High                          1.125541924
## 5332         High                          0.764066391
## 5333         High                          1.549409557
## 5334         High                          0.121749933
## 5335         High                          0.121749933
## 5336          Low                          0.251000504
## 5337         High                          0.268919510
## 5338          Low                          0.567829952
## 5339         High                          1.237085787
## 5340         High                          0.344757459
## 5341         High                          0.790912444
## 5342         High                          1.237085787
## 5343         High                          0.845887100
## 5344         High                          0.101621246
## 5345         High                          0.679370564
## 5346          Low                          1.355153990
## 5347         High                          1.517420550
## 5348          Low                          0.567829952
## 5349          Low                          0.024042324
## 5350          Low                          0.547676922
## 5351         High                          0.547676922
## 5352         High                          0.469600068
## 5353         High                          0.612446000
## 5354          Low                          0.532061440
## 5355          Low                          0.324606222
## 5356         High                          0.324606222
## 5357          Low                          0.819837560
## 5358         High                          0.726142117
## 5359          Low                          0.019729393
## 5360         High                          0.764066391
## 5361         High                          0.346619430
## 5362         High                          0.751699942
## 5363         High                          0.575561823
## 5364         High                          0.505292163
## 5365          Low                          0.235388300
## 5366         High                          0.344757459
## 5367          Low                          0.168487485
## 5368         High                          1.092078815
## 5369          Low                          1.517420550
## 5370         High                          0.732834628
## 5371         High                          0.117217158
## 5372         High                          0.576753137
## 5373         High                          0.121749933
## 5374         High                          0.679370564
## 5375          Low                          1.308809674
## 5376          Low                          1.517420550
## 5377          Low                          0.714987940
## 5378          Low                          0.534368135
## 5379          Low                          0.547676922
## 5380         High                          0.567829952
## 5381         High                          0.026291667
## 5382          Low                          0.391525097
## 5383          Low                          0.127268033
## 5384          Low                          0.864731318
## 5385          Low                          0.741757981
## 5386          Low                          0.232341822
## 5387          Low                          1.027383549
## 5388         High                          0.770758920
## 5389         High                          0.565194979
## 5390         High                          0.895624046
## 5391          Low                          0.054978670
## 5392          Low                          0.378141090
## 5393          Low                          0.567829952
## 5394         High                          0.790912444
## 5395         High                          0.324606222
## 5396         High                          0.344757459
## 5397          Low                          1.237085787
## 5398         High                          0.871499272
## 5399         High                          1.237087722
## 5400         High                          0.547676922
## 5401          Low                          0.547676922
## 5402         High                          1.237085787
## 5403         High                          0.574446425
## 5404         High                          0.121749933
## 5405         High                          0.026291667
## 5406          Low                          0.324606222
## 5407          Low                          0.391525097
## 5408         High                          0.026291667
## 5409         High                          0.871499272
## 5410         High                          0.992545860
## 5411         High                          0.681525475
## 5412         High                          0.636909030
## 5413          Low                          0.011517406
## 5414          Low                          1.934885523
## 5415          Low                          0.547676922
## 5416          Low                          0.121749933
## 5417          Low                          0.436139076
## 5418          Low                          0.569984832
## 5419          Low                          0.389370333
## 5420         High                          0.567829952
## 5421          Low                          1.237085787
## 5422         High                          0.592292826
## 5423         High                          0.436139076
## 5424         High                          0.213086196
## 5425         High                          0.391525097
## 5426          Low                          0.547676922
## 5427          Low                          0.188555773
## 5428          Low                          0.391525097
## 5429          Low                          0.545522051
## 5430         High                          0.567829952
## 5431          Low                          0.391525097
## 5432         High                          0.567829952
## 5433         High                          0.679370564
## 5434         High                          0.547676922
## 5435          Low                          1.170159441
## 5436         High                          1.281703393
## 5437          Low                          0.871499272
## 5438         High                          0.436139076
## 5439          Low                          0.547676922
## 5440          Low                          0.931887267
## 5441          Low                          1.004713451
## 5442         High                          0.436139076
## 5443          Low                          0.213086196
## 5444         High                          0.547676922
## 5445          Low                          0.086776370
## 5446          Low                          0.213086196
## 5447          Low                          0.391525097
## 5448          Low                          1.237085787
## 5449          Low                          0.567829952
## 5450          Low                          0.790912444
## 5451          Low                          0.568110965
## 5452          Low                          0.324606222
## 5453         High                          0.547676922
## 5454          Low                          0.681525475
## 5455         High                          0.681525475
## 5456          Low                          0.307051761
## 5457         High                          0.547676922
## 5458          Low                          0.480829724
## 5459         High                          0.026291667
## 5460         High                          0.436139076
## 5461         High                          0.659217226
## 5462          Low                          0.190785711
## 5463         High                          0.436139076
## 5464         High                          0.121749933
## 5465         High                          0.614600895
## 5466         High                          0.772989764
## 5467         High                          0.257343730
## 5468          Low                          1.193315948
## 5469         High                          0.297839702
## 5470         High                          0.679370564
## 5471         High                          0.549907709
## 5472          Low                          0.698100537
## 5473         High                          0.242155078
## 5474          Low                          0.034988380
## 5475         High                          0.034988380
## 5476          Low                          0.657062320
## 5477         High                          1.192964318
## 5478          Low                          1.424687348
## 5479          Low                          0.549983624
## 5480          Low                          1.152312429
## 5481         High                          0.436139076
## 5482         High                          0.726142117
## 5483          Low                          0.621293329
## 5484         High                          0.324606222
## 5485          Low                          0.436139076
## 5486         High                          0.213086196
## 5487          Low                          0.746219660
## 5488          Low                          0.110532490
## 5489          Low                          0.835529438
## 5490         High                          0.930340883
## 5491          Low                          1.317397499
## 5492          Low                          0.233233927
## 5493         High                          0.777527370
## 5494         High                          0.482426875
## 5495          Low                          0.123902694
## 5496          Low                          0.416062678
## 5497         High                          0.828760965
## 5498          Low                          0.576753137
## 5499         High                          0.101621246
## 5500         High                          0.054978670
## 5501         High                          0.567829952
## 5502         High                          0.790912444
## 5503         High                          0.344757459
## 5504          Low                          0.567829952
## 5505          Low                          1.114497929
## 5506          Low                          1.360142814
## 5507         High                          0.547676922
## 5508          Low                          0.547676922
## 5509         High                          0.532061440
## 5510         High                          0.181941985
## 5511          Low                          0.770758920
## 5512          Low                          0.547676922
## 5513         High                          0.068232867
## 5514         High                          0.213086196
## 5515         High                          0.547676922
## 5516         High                          0.168487485
## 5517         High                          0.107190533
## 5518         High                          1.237087722
## 5519         High                          1.458847014
## 5520          Low                          0.681525475
## 5521          Low                          0.032862744
## 5522          Low                          0.681525475
## 5523         High                          0.456291539
## 5524         High                          0.590137939
## 5525          Low                          0.605677659
## 5526          Low                          0.569984832
## 5527         High                          0.547676922
## 5528          Low                          0.030591891
## 5529         High                          0.547676922
## 5530         High                          0.043820984
## 5531         High                          0.088334830
## 5532         High                          0.567829952
## 5533         High                          0.790912444
## 5534          Low                          0.615273994
## 5535         High                          0.121749933
## 5536         High                          0.659217226
## 5537         High                          0.547676922
## 5538          Low                          0.213086196
## 5539         High                          0.101621246
## 5540          Low                          0.766520318
## 5541         High                          0.225985634
## 5542          Low                          0.210931958
## 5543          Low                          0.770758920
## 5544          Low                          0.436139076
## 5545         High                          0.235388300
## 5546         High                          0.242079179
## 5547         High                          0.770758920
## 5548         High                          0.436139076
## 5549          Low                          0.460677101
## 5550          Low                          0.436139076
## 5551         High                          0.168487485
## 5552         High                          0.335835049
## 5553         High                          0.748450500
## 5554         High                          0.413831977
## 5555         High                          0.137275863
## 5556         High                          0.322451558
## 5557         High                          0.770834837
## 5558         High                          1.259394586
## 5559         High                          0.503061397
## 5560         High                          0.547676922
## 5561         High                          0.054978670
## 5562         High                          0.257366033
## 5563         High                          1.193315948
## 5564         High                          0.770758920
## 5565         High                          0.770758920
## 5566          Low                          0.168487485
## 5567         High                          0.436139076
## 5568         High                          0.567829952
## 5569         High                          0.213086196
## 5570         High                          0.770758920
## 5571         High                          0.417235216
## 5572         High                          0.770758920
## 5573         High                          1.308809674
## 5574         High                          1.424687348
## 5575         High                          0.491907587
## 5576         High                          0.057122956
## 5577          Low                          0.380371751
## 5578          Low                          0.512060381
## 5579         High                          0.110532490
## 5580         High                          0.835529438
## 5581         High                          0.233233927
## 5582         High                          0.679370564
## 5583         High                          0.681525475
## 5584         High                          0.032862744
## 5585         High                          0.547676922
## 5586          Low                          0.011517406
## 5587          Low                          0.054978670
## 5588          Low                          0.121749933
## 5589         High                          0.344757459
## 5590         High                          1.013998335
## 5591         High                          0.179636263
## 5592          Low                          0.480829724
## 5593         High                          0.480829724
## 5594         High                          0.547676922
## 5595         High                          0.086776370
## 5596         High                          0.681525475
## 5597         High                          0.547676922
## 5598         High                          0.547676922
## 5599         High                          0.480829724
## 5600          Low                          0.137275863
## 5601         High                          0.050541909
## 5602          Low                          0.491907587
## 5603          Low                          0.436139076
## 5604          Low                          0.324606222
## 5605          Low                          0.389370333
## 5606         High                          0.057122956
## 5607         High                          0.764066391
## 5608         High                          0.547676922
## 5609         High                          0.086776370
## 5610         High                          0.480829724
## 5611         High                          0.681525475
## 5612         High                          0.322451558
## 5613         High                          0.659217226
## 5614         High                          0.101621246
## 5615          Low                          0.371855287
## 5616          Low                          0.412536345
## 5617          Low                          1.531437847
## 5618          Low                          0.547676922
## 5619          Low                          0.503061397
## 5620         High                          0.534368135
## 5621          Low                          0.532061440
## 5622         High                          0.819837560
## 5623          Low                          0.730459160
## 5624         High                          1.950969883
## 5625         High                          1.114497929
## 5626         High                          0.819837560
## 5627         High                          0.520129169
## 5628         High                          0.992545860
## 5629         High                          0.136161340
## 5630         High                          0.764066391
## 5631         High                          0.527599883
## 5632          Low                          0.132817866
## 5633          Low                          0.659217226
## 5634         High                          0.101621246
## 5635         High                          0.605677659
## 5636         High                          0.324606222
## 5637         High                          0.121749933
## 5638          Low                          0.344757459
## 5639          Low                          0.306761792
## 5640          Low                          0.605677659
## 5641         High                          0.650369857
## 5642          Low                          0.375986342
## 5643         High                          0.257343730
## 5644         High                          1.193315948
## 5645         High                          0.770758920
## 5646          Low                          0.770758920
## 5647         High                          0.101621246
## 5648          Low                          0.770758920
## 5649         High                          0.121749933
## 5650          Low                          0.679370564
## 5651         High                          1.308809674
## 5652         High                          1.517420550
## 5653          Low                          0.121749933
## 5654          Low                          0.679370564
## 5655         High                          0.676055629
## 5656          Low                          1.484032621
## 5657         High                          0.770758920
## 5658         High                          0.121749933
## 5659          Low                          0.436139076
## 5660          Low                          0.324606222
## 5661         High                          0.480753810
## 5662         High                          0.144039162
## 5663         High                          0.547676922
## 5664         High                          0.324606222
## 5665         High                          0.599431401
## 5666         High                          0.659217226
## 5667         High                          0.344757459
## 5668         High                          0.770758920
## 5669          Low                          0.272975487
## 5670          Low                          0.680914798
## 5671         High                          0.332413254
## 5672         High                          0.692755535
## 5673          Low                          0.391525097
## 5674          Low                          0.770758920
## 5675         High                          0.344757459
## 5676          Low                          0.605677659
## 5677          Low                          0.054978670
## 5678          Low                          0.344757459
## 5679         High                          0.567829952
## 5680          Low                          0.770758920
## 5681          Low                          0.121749933
## 5682          Low                          0.121749933
## 5683         High                          0.213086196
## 5684          Low                          0.011517406
## 5685         High                          0.293378692
## 5686          Low                          0.193091557
## 5687         High                          0.121749933
## 5688          Low                          1.308809674
## 5689         High                          0.815375860
## 5690         High                          0.503061397
## 5691         High                          0.132893717
## 5692          Low                          1.163466811
## 5693         High                          0.436139076
## 5694          Low                          0.826606030
## 5695         High                          0.748450500
## 5696          Low                          0.815375860
## 5697          Low                          0.503061397
## 5698          Low                          0.436139076
## 5699         High                          0.503061397
## 5700          Low                          0.534368135
## 5701         High                          0.024042324
## 5702          Low                          0.121749933
## 5703         High                          0.761835548
## 5704          Low                          0.440676432
## 5705          Low                          0.121749933
## 5706          Low                          0.837684373
## 5707          Low                          0.233233927
## 5708         High                          0.547676922
## 5709          Low                          0.013443446
## 5710         High                          0.286381280
## 5711          Low                          0.576677222
## 5712         High                          0.871499272
## 5713          Low                          1.114497929
## 5714         High                          0.819837560
## 5715          Low                          0.137275863
## 5716          Low                          0.547676922
## 5717          Low                          0.642173759
## 5718         High                          0.329143284
## 5719          Low                          0.650369857
## 5720         High                          0.547676922
## 5721          Low                          0.213086196
## 5722         High                          0.101621246
## 5723         High                          0.790912444
## 5724         High                          1.447871554
## 5725          Low                          0.659217226
## 5726         High                          0.224237076
## 5727         High                          0.712833022
## 5728         High                          0.079355292
## 5729         High                          0.770758920
## 5730         High                          0.681525475
## 5731         High                          0.681525475
## 5732         High                          0.101621246
## 5733          Low                          0.215316342
## 5734          Low                          0.268843607
## 5735          Low                          0.417923151
## 5736         High                          0.344757459
## 5737          Low                          0.790912444
## 5738         High                          0.137275863
## 5739         High                          0.659217226
## 5740         High                          0.101621246
## 5741          Low                          0.242079179
## 5742          Low                          0.576753137
## 5743          Low                          0.063964825
## 5744          Low                          0.659217226
## 5745         High                          0.547676922
## 5746          Low                          0.547676922
## 5747         High                          0.846683703
## 5748         High                          1.315166617
## 5749         High                          1.424687348
## 5750         High                          0.011517406
## 5751         High                          0.612446000
## 5752         High                          0.224237076
## 5753         High                          0.712833022
## 5754         High                          0.547676922
## 5755         High                          0.213086196
## 5756         High                          0.436139076
## 5757         High                          0.101621246
## 5758          Low                          0.233233927
## 5759         High                          0.837684373
## 5760          Low                          0.233233927
## 5761         High                          0.436139076
## 5762         High                          0.110532490
## 5763         High                          0.835529438
## 5764         High                          0.146192553
## 5765         High                          0.819837560
## 5766          Low                          0.636909030
## 5767         High                          0.339796523
## 5768         High                          0.737171444
## 5769         High                          0.765181812
## 5770         High                          0.681525475
## 5771         High                          0.819837560
## 5772         High                          1.973278815
## 5773          Low                          0.150651206
## 5774          Low                          0.819837560
## 5775         High                          0.121749933
## 5776         High                          0.576900302
## 5777         High                          1.198157843
## 5778         High                          1.571718437
## 5779         High                          1.192964318
## 5780         High                          0.772989764
## 5781         High                          0.819837560
## 5782          Low                          0.770758920
## 5783         High                          0.469600068
## 5784          Low                          0.680633144
## 5785          Low                          0.769496331
## 5786         High                          0.519792168
## 5787          Low                          0.428407481
## 5788         High                          0.251905029
## 5789         High                          0.520129169
## 5790         High                          0.569984832
## 5791          Low                          0.389370333
## 5792          Low                          0.621293329
## 5793          Low                          0.344757459
## 5794          Low                          0.679370564
## 5795          Low                          0.547676922
## 5796         High                          0.871499272
## 5797         High                          1.114497929
## 5798         High                          0.224237076
## 5799         High                          0.712833022
## 5800         High                          0.436139076
## 5801          Low                          0.456291539
## 5802         High                          0.567829952
## 5803          Low                          0.790912444
## 5804         High                          0.011517406
## 5805          Low                          0.567829952
## 5806         High                          0.233233927
## 5807          Low                          0.324606222
## 5808         High                          0.101621246
## 5809          Low                          0.793067374
## 5810         High                          0.324606222
## 5811          Low                          0.500295250
## 5812         High                          0.659217226
## 5813          Low                          0.121749933
## 5814         High                          0.679370564
## 5815          Low                          0.819837560
## 5816         High                          0.121749933
## 5817          Low                          0.021878396
## 5818         High                          0.527675797
## 5819         High                          0.547676922
## 5820         High                          0.810120046
## 5821         High                          0.107689649
## 5822         High                          0.556564451
## 5823         High                          0.751795667
## 5824         High                          1.237087722
## 5825         High                          0.525369106
## 5826         High                          0.101621246
## 5827          Low                          1.237085787
## 5828         High                          0.057122956
## 5829          Low                          0.567829952
## 5830         High                          1.025152679
## 5831          Low                          0.011517406
## 5832         High                          0.679370564
## 5833          Low                          1.013998335
## 5834         High                          1.147850677
## 5835         High                          0.592292826
## 5836          Low                          0.532061440
## 5837          Low                          0.819837560
## 5838          Low                          0.871499272
## 5839          Low                          1.114497929
## 5840          Low                          0.728077900
## 5841          Low                          0.770758920
## 5842          Low                          0.101621246
## 5843          Low                          0.436139076
## 5844         High                          0.770758920
## 5845          Low                          0.011517406
## 5846         High                          0.344757459
## 5847         High                          0.723987197
## 5848          Low                          0.213086196
## 5849          Low                          0.547676922
## 5850         High                          0.819837560
## 5851         High                          0.659217226
## 5852         High                          0.532061440
## 5853         High                          0.567829952
## 5854          Low                          0.790912444
## 5855          Low                          0.746219660
## 5856          Low                          0.819837560
## 5857          Low                          0.224237076
## 5858          Low                          0.712833022
## 5859         High                          0.188631658
## 5860          Low                          0.329143284
## 5861         High                          0.770758920
## 5862          Low                          0.324606222
## 5863         High                          0.456291539
## 5864         High                          0.590137939
## 5865         High                          0.257343730
## 5866         High                          1.193315948
## 5867         High                          0.460753013
## 5868          Low                          0.475247850
## 5869         High                          0.412536345
## 5870          Low                          0.168487485
## 5871         High                          0.659217226
## 5872          Low                          0.344757459
## 5873         High                          0.659217226
## 5874          Low                          0.344757459
## 5875          Low                          1.211497892
## 5876          Low                          1.628714632
## 5877         High                          0.772989764
## 5878         High                          0.469600068
## 5879         High                          0.824299262
## 5880         High                          0.030591891
## 5881          Low                          0.815375860
## 5882          Low                          0.436139076
## 5883          Low                          0.456291539
## 5884          Low                          0.772989764
## 5885          Low                          0.837684373
## 5886          Low                          0.233233927
## 5887          Low                          0.576753137
## 5888         High                          0.213086196
## 5889          Low                          0.344757459
## 5890         High                          0.574446425
## 5891         High                          0.011517406
## 5892         High                          0.790912444
## 5893         High                          0.409370582
## 5894         High                          0.826530113
## 5895         High                          1.323276263
## 5896         High                          0.566370945
## 5897         High                          0.757373864
## 5898         High                          0.837684373
## 5899          Low                          0.233233927
## 5900         High                          0.213086196
## 5901          Low                          0.743988820
## 5902          Low                          0.402754418
## 5903         High                          0.400523731
## 5904         High                          0.958226674
## 5905         High                          0.018734564
## 5906          Low                          0.224237076
## 5907         High                          0.712833022
## 5908         High                          0.815375860
## 5909         High                          0.759604706
## 5910         High                          0.292821068
## 5911         High                          0.528715272
## 5912         High                          0.157415391
## 5913         High                          0.770758920
## 5914         High                          0.992545860
## 5915          Low                          0.992545860
## 5916          Low                          0.166110733
## 5917          Low                          0.861741972
## 5918          Low                          0.547676922
## 5919          Low                          0.233233927
## 5920          Low                          0.567829952
## 5921          Low                          0.819837560
## 5922          Low                          0.324606222
## 5923         High                          0.121749933
## 5924          Low                          0.547676922
## 5925         High                          0.224237076
## 5926          Low                          0.712833022
## 5927         High                          0.819837560
## 5928         High                          0.324606222
## 5929          Low                          0.569984832
## 5930          Low                          0.318056861
## 5931         High                          0.520129169
## 5932         High                          0.150651206
## 5933         High                          0.317914524
## 5934         High                          0.698078228
## 5935          Low                          0.770758920
## 5936         High                          0.436139076
## 5937          Low                          0.770758920
## 5938         High                          0.335759141
## 5939         High                          0.224237076
## 5940         High                          0.712833022
## 5941          Low                          0.475247850
## 5942         High                          0.412536345
## 5943         High                          0.634195960
## 5944         High                          0.992545860
## 5945          Low                          0.101621246
## 5946         High                          0.456291539
## 5947          Low                          1.310881577
## 5948          Low                          1.483547426
## 5949          Low                          0.770758920
## 5950          Low                          0.121749933
## 5951          Low                          0.344757459
## 5952          Low                          0.329143284
## 5953         High                          0.286381280
## 5954         High                          0.520129169
## 5955          Low                          0.412536345
## 5956          Low                          1.096167160
## 5957         High                          0.213086196
## 5958         High                          0.344757459
## 5959         High                          0.712833022
## 5960         High                          0.460753013
## 5961         High                          0.601216045
## 5962         High                          0.770758920
## 5963          Low                          0.547676922
## 5964          Low                          0.121749933
## 5965         High                          0.458446363
## 5966          Low                          0.145456894
## 5967         High                          0.007860543
## 5968          Low                          0.224237076
## 5969         High                          0.712833022
## 5970          Low                          0.032862744
## 5971         High                          0.389370333
## 5972          Low                          0.098845916
## 5973         High                          1.308809674
## 5974          Low                          1.517420550
## 5975         High                          0.815375860
## 5976          Low                          0.503061397
## 5977          Low                          0.476292309
## 5978          Low                          0.772989764
## 5979         High                          0.576753137
## 5980         High                          0.525369106
## 5981         High                          0.233233927
## 5982          Low                          0.324606222
## 5983         High                          0.520129169
## 5984         High                          0.992545860
## 5985         High                          1.714524089
## 5986         High                          0.547676922
## 5987         High                          0.011517406
## 5988          Low                          0.302300736
## 5989         High                          0.714987940
## 5990         High                          0.027513818
## 5991         High                          0.659217226
## 5992         High                          0.567829952
## 5993         High                          0.790912444
## 5994          Low                          0.382602414
## 5995         High                          0.480753810
## 5996         High                          0.324606222
## 5997         High                          0.684147187
## 5998          Low                          0.353595636
## 5999         High                          0.584485020
## 6000          Low                          0.006303726
## 6001         High                          0.157339520
## 6002          Low                          0.641370665
## 6003         High                          0.050541909
## 6004          Low                          0.902455122
## 6005         High                          1.125541924
## 6006         High                          0.487446073
## 6007          Low                          0.743988820
## 6008          Low                          0.089284592
## 6009         High                          1.647503610
## 6010          Low                          0.532061440
## 6011          Low                          0.224237076
## 6012          Low                          0.712833022
## 6013         High                          0.659217226
## 6014         High                          0.478523059
## 6015          Low                          0.614676810
## 6016          Low                          0.456291539
## 6017         High                          0.679370564
## 6018          Low                          0.251905029
## 6019          Low                          0.520129169
## 6020          Low                          0.114988832
## 6021          Low                          0.224237076
## 6022         High                          0.712833022
## 6023          Low                          0.547676922
## 6024         High                          0.757373864
## 6025         High                          0.770758920
## 6026          Low                          0.523214244
## 6027         High                          0.699372110
## 6028         High                          0.324606222
## 6029         High                          0.121749933
## 6030          Low                          0.819837560
## 6031          Low                          0.547676922
## 6032          Low                          0.322451558
## 6033          Low                          0.547676922
## 6034          Low                          0.324606222
## 6035          Low                          0.681525475
## 6036          Low                          0.185210910
## 6037         High                          0.681525475
## 6038          Low                          0.032862744
## 6039          Low                          0.815375860
## 6040          Low                          0.532061440
## 6041         High                          0.324606222
## 6042         High                          0.596575970
## 6043         High                          0.819837560
## 6044         High                          0.636909030
## 6045         High                          1.517420550
## 6046          Low                          0.445137882
## 6047         High                          0.224237076
## 6048          Low                          0.712833022
## 6049         High                          1.211497892
## 6050         High                          1.517420550
## 6051          Low                          0.846683703
## 6052          Low                          1.315166617
## 6053         High                          0.233604083
## 6054          Low                          0.961476823
## 6055         High                          0.819837560
## 6056         High                          0.815375860
## 6057         High                          0.764066391
## 6058         High                          0.233233927
## 6059          Low                          0.567829952
## 6060         High                          0.558830866
## 6061          Low                          0.123902694
## 6062          Low                          0.067552586
## 6063          Low                          0.770758920
## 6064          Low                          0.772989764
## 6065          Low                          0.567829952
## 6066         High                          0.306761792
## 6067          Low                          0.224237076
## 6068         High                          0.712833022
## 6069         High                          0.330182668
## 6070          Low                          0.224237076
## 6071          Low                          0.712833022
## 6072         High                          0.961476823
## 6073         High                          0.770758920
## 6074         High                          0.751841378
## 6075          Low                          0.513131151
## 6076         High                          0.819837560
## 6077         High                          0.456291539
## 6078         High                          0.902455122
## 6079          Low                          0.748450500
## 6080         High                          0.440676432
## 6081          Low                          0.772989764
## 6082         High                          0.659217226
## 6083         High                          0.101621246
## 6084         High                          0.679370564
## 6085          Low                          1.360142814
## 6086         High                          1.483547426
## 6087          Low                          0.902455122
## 6088         High                          1.125541924
## 6089         High                          0.547676922
## 6090          Low                          1.354872723
## 6091          Low                          0.114988832
## 6092          Low                          0.757373864
## 6093          Low                          0.644181496
## 6094          Low                          0.659217226
## 6095          Low                          0.790912444
## 6096          Low                          0.547676922
## 6097          Low                          0.256799450
## 6098          Low                          0.621293329
## 6099          Low                          0.137275863
## 6100         High                          0.746295576
## 6101         High                          0.344757459
## 6102          Low                          0.344757459
## 6103          Low                          0.478598972
## 6104         High                          0.101621246
## 6105          Low                          0.344757459
## 6106         High                          0.101621246
## 6107         High                          0.790912444
## 6108         High                          1.308809674
## 6109         High                          1.517420550
## 6110         High                          0.344757459
## 6111         High                          0.679370564
## 6112         High                          0.213086196
## 6113          Low                          0.456291539
## 6114         High                          0.547676922
## 6115         High                          0.505292163
## 6116         High                          0.480753810
## 6117         High                          0.233233927
## 6118         High                          0.242155078
## 6119          Low                          0.433984270
## 6120          Low                          0.746295576
## 6121          Low                          1.013998335
## 6122         High                          0.681525475
## 6123          Low                          0.032862744
## 6124          Low                          0.086776370
## 6125          Low                          0.382602414
## 6126         High                          0.188555773
## 6127          Low                          0.458446363
## 6128         High                          0.759604706
## 6129         High                          0.101621246
## 6130          Low                          0.547676922
## 6131          Low                          0.286381280
## 6132          Low                          0.871499272
## 6133          Low                          0.547676922
## 6134         High                          0.224237076
## 6135         High                          0.712833022
## 6136         High                          0.659217226
## 6137          Low                          0.456291539
## 6138         High                          0.057122956
## 6139          Low                          0.213086196
## 6140         High                          0.101621246
## 6141          Low                          0.659217226
## 6142         High                          1.571718437
## 6143          Low                          0.255537126
## 6144         High                          0.322451558
## 6145         High                          0.433984270
## 6146          Low                          0.603446852
## 6147          Low                          0.224237076
## 6148         High                          0.712833022
## 6149          Low                          0.819837560
## 6150         High                          0.171907919
## 6151          Low                          0.679370564
## 6152          Low                          0.324606222
## 6153          Low                          0.619062517
## 6154         High                          0.478598972
## 6155          Low                          0.679370564
## 6156          Low                          0.846683703
## 6157          Low                          0.634195960
## 6158         High                          1.114497929
## 6159          Low                          0.815375860
## 6160         High                          0.503061397
## 6161         High                          0.770758920
## 6162         High                          0.837684373
## 6163          Low                          0.464625510
## 6164         High                          0.478523059
## 6165          Low                          0.224237076
## 6166         High                          0.712833022
## 6167         High                          0.213086196
## 6168         High                          0.770758920
## 6169          Low                          0.458446363
## 6170          Low                          0.480753810
## 6171         High                          0.157339520
## 6172         High                          0.770758920
## 6173          Low                          0.101621246
## 6174          Low                          0.532061440
## 6175         High                          0.681525475
## 6176         High                          0.032862744
## 6177         High                          0.085654283
## 6178         High                          0.703833774
## 6179         High                          0.324606222
## 6180         High                          0.101621246
## 6181         High                          0.819837560
## 6182         High                          0.121749933
## 6183         High                          0.679370564
## 6184         High                          0.150651206
## 6185         High                          1.360142814
## 6186         High                          1.483547426
## 6187         High                          0.292821068
## 6188         High                          0.547676922
## 6189          Low                          0.121749933
## 6190          Low                          0.229723034
## 6191          Low                          1.816583402
## 6192          Low                          0.574446425
## 6193          Low                          0.577234922
## 6194          Low                          0.110532490
## 6195          Low                          0.835529438
## 6196         High                          0.224237076
## 6197          Low                          0.712833022
## 6198         High                          0.770758920
## 6199          Low                          0.121749933
## 6200         High                          0.731496125
## 6201         High                          0.659217226
## 6202         High                          0.790912444
## 6203          Low                          0.123902694
## 6204         High                          0.329143284
## 6205         High                          0.344757459
## 6206         High                          0.790912444
## 6207         High                          0.007914226
## 6208         High                          1.795704271
## 6209          Low                          0.558025821
## 6210         High                          0.547676922
## 6211          Low                          0.011517406
## 6212         High                          0.790912444
## 6213         High                          0.770758920
## 6214         High                          0.324606222
## 6215          Low                          0.213086196
## 6216         High                          0.456291539
## 6217          Low                          0.819837560
## 6218         High                          0.242155078
## 6219         High                          0.433984270
## 6220         High                          0.346912162
## 6221          Low                          0.086776370
## 6222         High                          0.436139076
## 6223          Low                          0.703833774
## 6224         High                          0.028838914
## 6225         High                          0.596754434
## 6226          Low                          0.614600895
## 6227         High                          0.168487485
## 6228         High                          0.011517406
## 6229         High                          0.679370564
## 6230         High                          0.748450500
## 6231         High                          0.018734564
## 6232          Low                          0.407139888
## 6233         High                          0.007860543
## 6234          Low                          0.612446000
## 6235         High                          0.346912162
## 6236          Low                          0.612446000
## 6237          Low                          0.442907156
## 6238          Low                          1.261290834
## 6239         High                          0.612446000
## 6240          Low                          0.835529438
## 6241         High                          1.204547635
## 6242          Low                          1.382546764
## 6243         High                          0.026291667
## 6244         High                          1.142015541
## 6245         High                          1.325679607
## 6246          Low                          0.077205786
## 6247         High                          0.770758920
## 6248         High                          0.121749933
## 6249         High                          0.322451558
## 6250          Low                          0.433984270
## 6251         High                          0.681525475
## 6252          Low                          0.770758920
## 6253         High                          1.994217352
## 6254          Low                          0.500295250
## 6255         High                          0.123902694
## 6256          Low                          0.032862744
## 6257          Low                          0.503061397
## 6258          Low                          0.534368135
## 6259          Low                          1.114497929
## 6260          Low                          1.483547426
## 6261         High                          0.171907919
## 6262          Low                          0.679370564
## 6263         High                          0.300146122
## 6264         High                          0.436139076
## 6265         High                          0.819837560
## 6266         High                          0.605677659
## 6267          Low                          0.534368135
## 6268          Low                          0.659217226
## 6269          Low                          0.681525475
## 6270          Low                          1.147850677
## 6271          Low                          1.549409557
## 6272         High                          0.296055295
## 6273         High                          0.746219660
## 6274         High                          0.770758920
## 6275          Low                          0.233233927
## 6276          Low                          0.681525475
## 6277          Low                          0.024042324
## 6278         High                          0.512060381
## 6279          Low                          0.884608253
## 6280          Low                          0.547676922
## 6281          Low                          0.772989764
## 6282          Low                          0.532061440
## 6283          Low                          0.500295250
## 6284         High                          0.770758920
## 6285          Low                          0.121749933
## 6286         High                          0.286381280
## 6287         High                          0.318056861
## 6288          Low                          0.719449609
## 6289          Low                          0.603446852
## 6290         High                          0.900224263
## 6291          Low                          1.356661036
## 6292          Low                          0.150651206
## 6293          Low                          0.391525097
## 6294          Low                          0.764066391
## 6295          Low                          0.013443446
## 6296         High                          0.469600068
## 6297          Low                          0.770758920
## 6298          Low                          0.436139076
## 6299          Low                          0.902455122
## 6300         High                          0.547676922
## 6301          Low                          0.121749933
## 6302          Low                          0.369218475
## 6303          Low                          0.456291539
## 6304         High                          0.790912444
## 6305          Low                          0.659217226
## 6306         High                          0.436139076
## 6307          Low                          0.659217226
## 6308          Low                          0.057122956
## 6309          Low                          0.757373864
## 6310         High                          0.443612973
## 6311          Low                          1.237085787
## 6312          Low                          0.344757459
## 6313          Low                          0.790912444
## 6314         High                          0.567829952
## 6315          Low                          0.213086196
## 6316         High                          0.046034621
## 6317         High                          0.194206546
## 6318          Low                          0.032862744
## 6319          Low                          0.476292309
## 6320          Low                          0.770758920
## 6321          Low                          0.456291539
## 6322         High                          0.819837560
## 6323         High                          0.329143284
## 6324         High                          0.770758920
## 6325          Low                          0.233233927
## 6326         High                          0.746219660
## 6327          Low                          0.007914226
## 6328         High                          0.603446852
## 6329          Low                          0.329143284
## 6330         High                          0.731496125
## 6331         High                          0.007914226
## 6332         High                          0.251223539
## 6333          Low                          0.772989764
## 6334         High                          0.329143284
## 6335          Low                          0.324606222
## 6336         High                          0.329143284
## 6337          Low                          0.007914226
## 6338         High                          0.436139076
## 6339          Low                          0.121749933
## 6340         High                          0.007914226
## 6341          Low                          0.224237076
## 6342         High                          0.712833022
## 6343          Low                          0.335759141
## 6344         High                          0.770758920
## 6345          Low                          0.024042324
## 6346         High                          0.436139076
## 6347         High                          0.503061397
## 6348         High                          0.534368135
## 6349          Low                          0.369218475
## 6350         High                          0.026291667
## 6351          Low                          0.480753810
## 6352         High                          0.726142117
## 6353         High                          0.369218475
## 6354         High                          0.828760965
## 6355          Low                          0.770758920
## 6356         High                          0.146192553
## 6357          Low                          0.748450500
## 6358          Low                          0.440676432
## 6359          Low                          1.549409557
## 6360         High                          0.547676922
## 6361         High                          0.316429040
## 6362          Low                          0.772989764
## 6363          Low                          0.681525475
## 6364         High                          0.289809902
## 6365          Low                          0.547676922
## 6366         High                          0.746219660
## 6367          Low                          0.574446425
## 6368         High                          0.251905029
## 6369         High                          0.634195960
## 6370         High                          0.746219660
## 6371          Low                          0.400523731
## 6372          Low                          0.958226674
## 6373          Low                          0.018734564
## 6374          Low                          0.681525475
## 6375          Low                          0.331373868
## 6376          Low                          1.360142814
## 6377          Low                          1.483547426
## 6378          Low                          0.386578816
## 6379          Low                          0.332413254
## 6380         High                          0.692755535
## 6381          Low                          0.101621246
## 6382         High                          0.576753137
## 6383          Low                          0.902455122
## 6384         High                          1.125541924
## 6385         High                          0.373679776
## 6386         High                          0.121749933
## 6387          Low                          0.679370564
## 6388         High                          0.569984832
## 6389          Low                          0.099469580
## 6390          Low                          0.547676922
## 6391          Low                          0.422754792
## 6392         High                          0.659217226
## 6393          Low                          0.101621246
## 6394         High                          0.503061397
## 6395         High                          0.101621246
## 6396         High                          0.726142117
## 6397          Low                          0.300146122
## 6398         High                          0.726142117
## 6399          Low                          0.300146122
## 6400          Low                          0.770758920
## 6401          Low                          0.324606222
## 6402          Low                          0.416062678
## 6403          Low                          0.726142117
## 6404         High                          0.300146122
## 6405         High                          0.257366033
## 6406          Low                          1.193315948
## 6407          Low                          0.089284592
## 6408         High                          0.411250508
## 6409          Low                          0.757373864
## 6410          Low                          0.547676922
## 6411         High                          0.233233927
## 6412          Low                          0.770758920
## 6413         High                          0.382241648
## 6414         High                          0.777059021
## 6415          Low                          0.400523731
## 6416          Low                          0.958226674
## 6417         High                          0.057122956
## 6418          Low                          0.819837560
## 6419          Low                          0.726142117
## 6420          Low                          0.300146122
## 6421         High                          0.902455122
## 6422         High                          1.348629856
## 6423          Low                          0.748450500
## 6424          Low                          0.416062678
## 6425         High                          0.307051761
## 6426         High                          0.770758920
## 6427         High                          0.770758920
## 6428          Low                          0.063964825
## 6429          Low                          0.114988832
## 6430         High                          0.063964825
## 6431          Low                          0.764066391
## 6432          Low                          0.684343435
## 6433          Low                          0.971542872
## 6434         High                          0.603446852
## 6435         High                          0.679370564
## 6436          Low                          0.902455122
## 6437          Low                          0.346912162
## 6438          Low                          0.612446000
## 6439          Low                          0.730459160
## 6440         High                          1.011781838
## 6441          Low                          0.746219660
## 6442         High                          0.819837560
## 6443          Low                          0.324606222
## 6444         High                          0.681525475
## 6445          Low                          0.961476823
## 6446          Low                          0.255537126
## 6447          Low                          0.525445020
## 6448         High                          0.770758920
## 6449         High                          0.520129169
## 6450         High                          0.992545860
## 6451          Low                          0.090485617
## 6452         High                          0.233233927
## 6453          Low                          0.523214244
## 6454         High                          0.567829952
## 6455          Low                          0.790912444
## 6456          Low                          0.547676922
## 6457          Low                          0.114988832
## 6458         High                          0.300070216
## 6459         High                          0.011517406
## 6460          Low                          0.837684373
## 6461          Low                          0.770758920
## 6462          Low                          0.745327324
## 6463          Low                          0.315907023
## 6464         High                          0.659217226
## 6465          Low                          0.011517406
## 6466          Low                          0.902455122
## 6467          Low                          0.018734564
## 6468         High                          0.436139076
## 6469          Low                          0.659217226
## 6470          Low                          0.121749933
## 6471         High                          0.121749933
## 6472         High                          1.036307027
## 6473          Low                          0.944006555
## 6474         High                          1.310881577
## 6475          Low                          0.520129169
## 6476         High                          0.751795667
## 6477          Low                          2.017896684
## 6478         High                          0.961476823
## 6479         High                          0.364833096
## 6480         High                          0.532061440
## 6481         High                          0.101621246
## 6482         High                          0.770758920
## 6483          Low                          0.121749933
## 6484          Low                          0.213086196
## 6485          Low                          0.317914524
## 6486         High                          0.255537126
## 6487          Low                          0.525445020
## 6488         High                          0.547676922
## 6489         High                          0.770758920
## 6490         High                          0.489280089
## 6491          Low                          0.324606222
## 6492         High                          0.257366033
## 6493          Low                          1.193315948
## 6494         High                          0.547676922
## 6495          Low                          0.636909030
## 6496         High                          0.032862744
## 6497          Low                          0.433984270
## 6498          Low                          0.369218475
## 6499          Low                          0.101621246
## 6500          Low                          0.344757459
## 6501          Low                          0.795298222
## 6502          Low                          0.253306760
## 6503         High                          0.532061440
## 6504          Low                          0.770758920
## 6505          Low                          0.458446363
## 6506          Low                          0.547676922
## 6507          Low                          0.318056861
## 6508          Low                          0.520129169
## 6509         High                          0.684343435
## 6510          Low                          0.500526699
## 6511          Low                          0.114988832
## 6512          Low                          0.532061440
## 6513         High                          0.815375860
## 6514          Low                          0.746219660
## 6515          Low                          0.532061440
## 6516          Low                          0.819837560
## 6517         High                          0.659217226
## 6518         High                          0.101621246
## 6519         High                          0.063964825
## 6520         High                          0.297839702
## 6521         High                          0.679370564
## 6522          Low                          0.547676922
## 6523         High                          0.063964825
## 6524         High                          0.317914524
## 6525         High                          0.565523243
## 6526         High                          0.407215799
## 6527          Low                          1.114497929
## 6528          Low                          1.360142814
## 6529         High                          0.819837560
## 6530         High                          0.114988832
## 6531         High                          0.819837560
## 6532          Low                          0.819837560
## 6533          Low                          0.532061440
## 6534         High                          0.402031608
## 6535          Low                          0.030591891
## 6536         High                          1.460174084
## 6537         High                          0.822782195
## 6538         High                          0.436139076
## 6539          Low                          0.344757459
## 6540         High                          0.681525475
## 6541         High                          1.211497892
## 6542         High                          1.517420550
## 6543          Low                          0.703699924
## 6544         High                          0.086776370
## 6545         High                          0.324606222
## 6546          Low                          0.190785711
## 6547         High                          0.121749933
## 6548          Low                          0.681525475
## 6549         High                          0.123902694
## 6550          Low                          0.757373864
## 6551          Low                          0.101621246
## 6552          Low                          0.332413254
## 6553         High                          0.692755535
## 6554         High                          1.656547074
## 6555         High                          0.307877059
## 6556         High                          0.681525475
## 6557          Low                          0.322451558
## 6558          Low                          0.523214244
## 6559         High                          0.515071921
## 6560          Low                          0.436139076
## 6561         High                          0.407139888
## 6562          Low                          0.137275863
## 6563         High                          0.603522767
## 6564          Low                          0.547721538
## 6565          Low                          0.748347949
## 6566          Low                          0.592292826
## 6567          Low                          0.101621246
## 6568          Low                          0.547676922
## 6569         High                          0.532061440
## 6570          Low                          0.300146122
## 6571          Low                          1.504791812
## 6572          Low                          0.213086196
## 6573         High                          0.032862744
## 6574          Low                          0.433984270
## 6575          Low                          0.064231518
## 6576          Low                          0.233233927
## 6577         High                          0.523214244
## 6578          Low                          0.255537126
## 6579         High                          0.233916320
## 6580          Low                          0.530665040
## 6581         High                          0.101621246
## 6582          Low                          0.590137939
## 6583         High                          0.146192553
## 6584          Low                          0.168487485
## 6585         High                          0.436139076
## 6586          Low                          0.436139076
## 6587         High                          0.101621246
## 6588          Low                          0.344757459
## 6589          Low                          0.681525475
## 6590          Low                          0.101621246
## 6591          Low                          0.567829952
## 6592          Low                          0.213086196
## 6593         High                          0.679370564
## 6594          Low                          0.745327324
## 6595         High                          0.385279215
## 6596          Low                          0.770758920
## 6597         High                          0.458446363
## 6598          Low                          0.279995814
## 6599         High                          0.576753137
## 6600          Low                          0.317914524
## 6601         High                          0.407139888
## 6602          Low                          0.324606222
## 6603         High                          0.101621246
## 6604         High                          0.121749933
## 6605          Low                          0.679370564
## 6606          Low                          0.726142117
## 6607         High                          0.659217226
## 6608          Low                          0.011517406
## 6609         High                          0.770758920
## 6610          Low                          0.476292309
## 6611          Low                          0.257691601
## 6612          Low                          0.007860543
## 6613         High                          0.057122956
## 6614          Low                          0.547676922
## 6615         High                          0.659217226
## 6616         High                          0.659217226
## 6617         High                          0.681525475
## 6618          Low                          0.659217226
## 6619         High                          0.233233927
## 6620          Low                          0.456291539
## 6621         High                          0.251905029
## 6622          Low                          0.520129169
## 6623         High                          0.823259753
## 6624          Low                          0.344757459
## 6625         High                          1.013998335
## 6626         High                          0.772989764
## 6627          Low                          0.114988832
## 6628          Low                          0.422754792
## 6629         High                          0.757373864
## 6630          Low                          0.772989764
## 6631          Low                          0.123902694
## 6632          Low                          1.360142814
## 6633         High                          1.508269110
## 6634         High                          0.681525475
## 6635         High                          0.032862744
## 6636          Low                          0.567829952
## 6637         High                          1.181313826
## 6638          Low                          0.213086196
## 6639         High                          0.206395857
## 6640          Low                          0.101621246
## 6641         High                          0.233233927
## 6642          Low                          0.790912444
## 6643          Low                          0.324606222
## 6644          Low                          0.255537126
## 6645         High                          0.436139076
## 6646          Low                          0.532061440
## 6647         High                          0.332413254
## 6648          Low                          0.692755535
## 6649         High                          0.636909030
## 6650          Low                          0.324606222
## 6651         High                          1.128119569
## 6652         High                          1.406140943
## 6653         High                          0.030591891
## 6654         High                          0.532061440
## 6655         High                          0.503061397
## 6656          Low                          0.534368135
## 6657         High                          0.772989764
## 6658         High                          0.091109090
## 6659          Low                          0.641370665
## 6660          Low                          0.050541909
## 6661         High                          0.407139888
## 6662          Low                          0.257343730
## 6663          Low                          1.193315948
## 6664         High                          0.257343730
## 6665          Low                          1.193315948
## 6666          Low                          0.213086196
## 6667          Low                          0.320145085
## 6668          Low                          0.679370564
## 6669         High                          0.213086196
## 6670          Low                          0.681525475
## 6671          Low                          0.592292826
## 6672          Low                          0.806452462
## 6673         High                          0.246615720
## 6674          Low                          0.659217226
## 6675         High                          0.057122956
## 6676          Low                          0.369218475
## 6677         High                          0.255537126
## 6678          Low                          0.567829952
## 6679          Low                          1.181313826
## 6680         High                          0.246539821
## 6681          Low                          0.681525475
## 6682         High                          0.681525475
## 6683         High                          1.114497929
## 6684         High                          1.483547426
## 6685          Low                          0.770758920
## 6686         High                          0.121381643
## 6687          Low                          0.885159871
## 6688         High                          0.634195960
## 6689          Low                          0.024042324
## 6690          Low                          0.179712145
## 6691         High                          0.772989764
## 6692          Low                          0.659217226
## 6693          Low                          0.057122956
## 6694          Low                          1.296084540
## 6695          Low                          0.324606222
## 6696          Low                          0.245536173
## 6697         High                          0.436139076
## 6698          Low                          0.307877059
## 6699         High                          0.233233927
## 6700         High                          0.657062320
## 6701         High                          0.567829952
## 6702          Low                          1.181313826
## 6703         High                          0.569984832
## 6704          Low                          0.547676922
## 6705         High                          0.770758920
## 6706         High                          0.213086196
## 6707         High                          0.007860543
## 6708          Low                          0.681525475
## 6709          Low                          0.032862744
## 6710          Low                          0.726142117
## 6711         High                          0.857837975
## 6712          Low                          0.659217226
## 6713          Low                          0.567829952
## 6714          Low                          1.013998335
## 6715          Low                          4.237471403
## 6716         High                          0.759604706
## 6717         High                          0.503061397
## 6718          Low                          0.534368135
## 6719          Low                          0.324606222
## 6720          Low                          0.469600068
## 6721          Low                          0.612446000
## 6722         High                          0.018734564
## 6723          Low                          0.614600895
## 6724          Low                          0.324606222
## 6725          Low                          0.121749933
## 6726         High                          0.790912444
## 6727          Low                          1.460174084
## 6728          Low                          0.185210910
## 6729          Low                          0.525369106
## 6730          Low                          0.328175144
## 6731          Low                          0.770758920
## 6732          Low                          0.101621246
## 6733          Low                          0.547676922
## 6734         High                          0.681525475
## 6735          Low                          0.456291539
## 6736         High                          0.740718478
## 6737          Low                          0.547676922
## 6738          Low                          0.547676922
## 6739          Low                          0.007860543
## 6740          Low                          1.842091903
## 6741          Low                          0.500906547
## 6742         High                          0.925499913
## 6743          Low                          0.136161340
## 6744         High                          0.837684373
## 6745          Low                          0.621293329
## 6746         High                          0.547676922
## 6747          Low                          0.567829952
## 6748         High                          0.673016684
## 6749         High                          1.483547426
## 6750         High                          1.483547426
## 6751          Low                          0.819837560
## 6752          Low                          0.034988380
## 6753          Low                          0.257343730
## 6754         High                          1.193315948
## 6755         High                          0.503061397
## 6756         High                          0.534368135
## 6757          Low                          0.339796523
## 6758         High                          0.737171444
## 6759         High                          0.567829952
## 6760          Low                          1.181313826
## 6761         High                          0.681525475
## 6762          Low                          0.032862744
## 6763          Low                          1.769612522
## 6764          Low                          0.024042324
## 6765         High                          0.772989764
## 6766          Low                          0.231596848
## 6767         High                          0.436139076
## 6768          Low                          1.237085787
## 6769         High                          0.748450500
## 6770          Low                          0.815375860
## 6771         High                          0.880146538
## 6772          Low                          1.192468214
## 6773         High                          0.110532490
## 6774          Low                          0.835529438
## 6775          Low                          0.770758920
## 6776          Low                          0.324606222
## 6777         High                          0.772989764
## 6778         High                          0.173392856
## 6779         High                          0.576753137
## 6780         High                          0.681525475
## 6781         High                          0.569984832
## 6782          Low                          0.011517406
## 6783         High                          0.790912444
## 6784          Low                          0.418369292
## 6785         High                          0.213086196
## 6786         High                          0.681525475
## 6787         High                          0.645744345
## 6788         High                          0.344757459
## 6789         High                          0.759604706
## 6790         High                          0.584485020
## 6791         High                          0.006303726
## 6792         High                          0.681525475
## 6793         High                          0.467369324
## 6794          Low                          0.315907023
## 6795         High                          0.121749933
## 6796          Low                          0.469600068
## 6797         High                          0.612446000
## 6798         High                          1.308809674
## 6799          Low                          1.517420550
## 6800          Low                          0.469600068
## 6801          Low                          0.612446000
## 6802          Low                          0.024042324
## 6803          Low                          0.011517406
## 6804          Low                          0.790912444
## 6805          Low                          0.210931958
## 6806          Low                          0.746295576
## 6807          Low                          0.547676922
## 6808         High                          0.101621246
## 6809         High                          0.681525475
## 6810          Low                          0.162534651
## 6811         High                          1.262461304
## 6812         High                          0.776336031
## 6813         High                          0.567754037
## 6814         High                          0.413831977
## 6815         High                          0.547676922
## 6816         High                          0.160795292
## 6817         High                          0.681525475
## 6818         High                          0.436139076
## 6819         High                          0.011517406
## 6820         High                          0.634195960
## 6821         High                          1.310881577
## 6822         High                          0.845887100
## 6823         High                          0.961476823
## 6824         High                          0.507018743
## 6825         High                          1.656547074
## 6826          Low                          0.547676922
## 6827         High                          0.344757459
## 6828          Low                          0.478598972
## 6829         High                          0.681525475
## 6830          Low                          0.032862744
## 6831         High                          0.567829952
## 6832          Low                          1.181313826
## 6833          Low                          0.503061397
## 6834          Low                          0.534368135
## 6835         High                          0.011517406
## 6836         High                          0.679370564
## 6837         High                          0.233233927
## 6838         High                          0.679370564
## 6839          Low                          0.024042324
## 6840          Low                          0.759604706
## 6841         High                          0.344757459
## 6842         High                          0.525369106
## 6843         High                          0.815375860
## 6844         High                          0.837684373
## 6845         High                          0.525369106
## 6846         High                          0.456291539
## 6847          Low                          0.790912444
## 6848          Low                          0.759604706
## 6849         High                          0.412536345
## 6850          Low                          0.745327324
## 6851          Low                          0.385279215
## 6852          Low                          0.121749933
## 6853         High                          1.995587748
## 6854         High                          1.750189602
## 6855          Low                          0.746295576
## 6856          Low                          0.659217226
## 6857          Low                          0.101621246
## 6858          Low                          0.088334830
## 6859         High                          0.485291230
## 6860         High                          0.026291667
## 6861         High                          0.101621246
## 6862         High                          0.790912444
## 6863          Low                          0.173392856
## 6864          Low                          0.625754955
## 6865          Low                          0.636909030
## 6866          Low                          0.748450500
## 6867          Low                          0.286381280
## 6868          Low                          0.871499272
## 6869         High                          0.079355292
## 6870          Low                          1.350640328
## 6871          Low                          0.213086196
## 6872          Low                          0.494138347
## 6873          Low                          0.681525475
## 6874          Low                          0.494138347
## 6875         High                          0.761835548
## 6876          Low                          0.440676432
## 6877         High                          0.233233927
## 6878          Low                          0.790912444
## 6879         High                          0.467369324
## 6880          Low                          0.411677190
## 6881          Low                          0.723987197
## 6882          Low                          1.906352026
## 6883          Low                          0.251905029
## 6884          Low                          1.237087722
## 6885         High                          0.074193289
## 6886         High                          0.121749933
## 6887         High                          1.460174084
## 6888          Low                          0.772989764
## 6889          Low                          0.344757459
## 6890          Low                          1.077187021
## 6891         High                          0.344757459
## 6892          Low                          0.478598972
## 6893         High                          0.770758920
## 6894         High                          0.547676922
## 6895          Low                          0.819837560
## 6896          Low                          0.320145085
## 6897          Low                          0.576753137
## 6898          Low                          0.532061440
## 6899          Low                          0.819837560
## 6900          Low                          0.547676922
## 6901         High                          0.572215628
## 6902          Low                          0.503061397
## 6903         High                          0.534368135
## 6904         High                          0.567829952
## 6905         High                          1.181313826
## 6906          Low                          0.746295576
## 6907         High                          1.013998335
## 6908         High                          0.770758920
## 6909         High                          0.255537126
## 6910         High                          0.525445020
## 6911         High                          0.279995814
## 6912          Low                          0.246615720
## 6913          Low                          0.344757459
## 6914          Low                          0.436139076
## 6915          Low                          0.547721538
## 6916          Low                          0.748347949
## 6917         High                          0.567829952
## 6918          Low                          1.013998335
## 6919         High                          0.024042324
## 6920          Low                          0.026291667
## 6921         High                          0.452056786
## 6922          Low                          1.013998335
## 6923          Low                          0.532061440
## 6924         High                          0.101621246
## 6925         High                          0.257468563
## 6926          Low                          0.502691158
## 6927          Low                          0.346912162
## 6928         High                          0.612446000
## 6929          Low                          0.011517406
## 6930         High                          0.077205786
## 6931          Low                          0.681525475
## 6932          Low                          1.906352026
## 6933          Low                          0.233233927
## 6934         High                          0.790912444
## 6935          Low                          0.302300736
## 6936         High                          0.567829952
## 6937          Low                          0.790912444
## 6938         High                          0.576753137
## 6939         High                          0.871499272
## 6940         High                          1.114497929
## 6941         High                          0.681525475
## 6942         High                          1.109479629
## 6943          Low                          1.221469633
## 6944          Low                          1.103233182
## 6945          Low                          0.346912162
## 6946         High                          0.026291667
## 6947         High                          0.659217226
## 6948         High                          0.213086196
## 6949          Low                          0.902455122
## 6950         High                          1.125541924
## 6951         High                          0.576753137
## 6952         High                          0.101621246
## 6953         High                          0.679370564
## 6954         High                          0.277841261
## 6955          Low                          1.759913341
## 6956         High                          0.819837560
## 6957          Low                          0.467369324
## 6958         High                          0.761835548
## 6959          Low                          0.440676432
## 6960         High                          0.121749933
## 6961         High                          0.519792168
## 6962         High                          0.582330134
## 6963          Low                          0.871499272
## 6964          Low                          0.992545860
## 6965          Low                          0.532061440
## 6966          Low                          0.636909030
## 6967          Low                          0.436139076
## 6968          Low                          0.576753137
## 6969          Low                          0.596575970
## 6970          Low                          0.826530113
## 6971         High                          0.825102368
## 6972         High                          0.418962592
## 6973         High                          0.821318913
## 6974         High                          0.819837560
## 6975         High                          0.532061440
## 6976         High                          0.121749933
## 6977         High                          0.681525475
## 6978          Low                          0.772989764
## 6979          Low                          0.659217226
## 6980          Low                          0.233233927
## 6981         High                          0.770758920
## 6982          Low                          0.155110040
## 6983         High                          0.770758920
## 6984          Low                          0.634195960
## 6985          Low                          0.751795667
## 6986          Low                          0.344757459
## 6987         High                          0.332413254
## 6988          Low                          0.692755535
## 6989         High                          0.255537126
## 6990          Low                          0.793067374
## 6991         High                          0.681525475
## 6992          Low                          0.329143284
## 6993         High                          0.213086196
## 6994          Low                          0.746295576
## 6995         High                          0.114988832
## 6996          Low                          0.992545860
## 6997          Low                          0.992545860
## 6998         High                          0.576753137
## 6999         High                          0.793067374
## 7000         High                          0.815375860
## 7001         High                          0.011517406
## 7002         High                          0.567829952
## 7003         High                          1.013998335
## 7004          Low                          0.228742132
## 7005          Low                          0.592292826
## 7006         High                          0.021878396
## 7007          Low                          0.527675797
## 7008         High                          0.641370665
## 7009          Low                          0.050541909
## 7010          Low                          0.101621246
## 7011          Low                          0.266689091
## 7012          Low                          0.224237076
## 7013          Low                          0.770758920
## 7014          Low                          0.121749933
## 7015          Low                          0.317914524
## 7016          Low                          1.237085787
## 7017          Low                          1.460174084
## 7018         High                          0.532061440
## 7019         High                          0.324606222
## 7020         High                          0.233233927
## 7021         High                          0.412536345
## 7022         High                          1.237087722
## 7023          Low                          1.471057034
## 7024         High                          0.121749933
## 7025          Low                          0.456291539
## 7026          Low                          0.902455122
## 7027          Low                          0.324606222
## 7028          Low                          0.576753137
## 7029          Low                          0.188555773
## 7030         High                          0.489752743
## 7031         High                          1.181313826
## 7032         High                          0.770758920
## 7033          Low                          0.645908217
## 7034          Low                          1.308809674
## 7035         High                          1.517420550
## 7036          Low                          0.819837560
## 7037          Low                          0.532061440
## 7038          Low                          0.681525475
## 7039          Low                          0.032862744
## 7040         High                          0.213086196
## 7041          Low                          0.534368135
## 7042         High                          0.121749933
## 7043          Low                          0.790912444
## 7044         High                          0.121749933
## 7045          Low                          0.790912444
## 7046         High                          0.681525475
## 7047         High                          0.819837560
## 7048         High                          0.786374835
## 7049          Low                          0.092712379
## 7050         High                          0.101621246
## 7051          Low                          0.233233927
## 7052         High                          0.436139076
## 7053         High                          0.324606222
## 7054         High                          0.456291539
## 7055          Low                          0.567829952
## 7056         High                          1.817116340
## 7057          Low                          0.487446073
## 7058         High                          0.681525475
## 7059          Low                          0.742873401
## 7060         High                          0.532061440
## 7061          Low                          0.456291539
## 7062         High                          0.592292826
## 7063          Low                          0.757449780
## 7064         High                          0.525369106
## 7065          Low                          0.170717181
## 7066         High                          0.681525475
## 7067          Low                          0.456291539
## 7068         High                          0.547676922
## 7069          Low                          0.456291539
## 7070         High                          0.213086196
## 7071          Low                          0.391525097
## 7072         High                          0.679370564
## 7073         High                          0.902455122
## 7074          Low                          0.329143284
## 7075          Low                          0.532061440
## 7076         High                          0.114988832
## 7077         High                          0.567829952
## 7078          Low                          0.790912444
## 7079          Low                          0.692791160
## 7080         High                          0.101808427
## 7081          Low                          0.026291667
## 7082          Low                          0.007914226
## 7083          Low                          0.547676922
## 7084         High                          0.324606222
## 7085         High                          0.277841261
## 7086         High                          0.279995814
## 7087         High                          0.332413254
## 7088         High                          0.692755535
## 7089         High                          0.324606222
## 7090         High                          0.611700842
## 7091          Low                          0.436139076
## 7092         High                          0.011517406
## 7093         High                          0.344757459
## 7094         High                          0.436139076
## 7095          Low                          0.411735120
## 7096         High                          0.681525475
## 7097          Low                          0.503061397
## 7098          Low                          0.615273994
## 7099          Low                          0.915227563
## 7100          Low                          0.520129169
## 7101         High                          0.823430887
## 7102          Low                          0.902455122
## 7103         High                          1.237085787
## 7104          Low                          0.436139076
## 7105         High                          0.144039162
## 7106          Low                          0.547676922
## 7107         High                          0.121749933
## 7108         High                          0.494138347
## 7109         High                          0.011517406
## 7110         High                          0.567829952
## 7111          Low                          1.125541924
## 7112          Low                          0.324606222
## 7113         High                          0.344757459
## 7114         High                          0.279995814
## 7115         High                          1.310881577
## 7116         High                          1.483547426
## 7117         High                          0.772989764
## 7118         High                          1.308809674
## 7119         High                          1.517420550
## 7120         High                          0.030591891
## 7121         High                          0.770758920
## 7122         High                          0.645908217
## 7123         High                          0.168487485
## 7124         High                          0.324606222
## 7125         High                          0.011517406
## 7126         High                          0.233233927
## 7127         High                          0.659217226
## 7128         High                          0.318056861
## 7129          Low                          0.520129169
## 7130          Low                          0.458446363
## 7131         High                          0.425061413
## 7132          Low                          0.681525475
## 7133          Low                          0.032862744
## 7134         High                          0.532061440
## 7135         High                          0.547676922
## 7136         High                          0.532061440
## 7137          Low                          0.547676922
## 7138         High                          0.235388300
## 7139          Low                          0.547676922
## 7140          Low                          0.046034621
## 7141          Low                          0.253306760
## 7142         High                          0.737372220
## 7143          Low                          0.770758920
## 7144         High                          0.046034621
## 7145          Low                          0.532061440
## 7146         High                          0.324606222
## 7147          Low                          0.547676922
## 7148         High                          0.046034621
## 7149         High                          0.155110040
## 7150          Low                          0.224237076
## 7151         High                          0.101621246
## 7152         High                          0.790912444
## 7153         High                          0.326747574
## 7154          Low                          0.532061440
## 7155         High                          0.835007350
## 7156         High                          0.121749933
## 7157         High                          0.221114793
## 7158         High                          0.525369106
## 7159         High                          0.246093755
## 7160          Low                          0.436139076
## 7161         High                          0.255537126
## 7162          Low                          0.475247850
## 7163         High                          0.251905029
## 7164          Low                          0.681525475
## 7165         High                          0.213086196
## 7166          Low                          0.011517406
## 7167          Low                          0.007914226
## 7168          Low                          0.254756497
## 7169          Low                          1.060400430
## 7170          Low                          0.681525475
## 7171          Low                          0.181866103
## 7172          Low                          1.013998335
## 7173         High                          0.547676922
## 7174         High                          0.235388300
## 7175         High                          0.612446000
## 7176         High                          0.233916320
## 7177         High                          0.530665040
## 7178          Low                          1.549409557
## 7179         High                          0.828760965
## 7180          Low                          0.346912162
## 7181         High                          0.746295576
## 7182          Low                          1.281703393
## 7183          Low                          0.598985240
## 7184          Low                          0.636909030
## 7185         High                          0.436139076
## 7186          Low                          0.273304467
## 7187          Low                          1.571718437
## 7188          Low                          0.346912162
## 7189         High                          0.793067374
## 7190         High                          0.300146122
## 7191         High                          0.770758920
## 7192          Low                          0.101621246
## 7193          Low                          0.790912444
## 7194          Low                          0.648063121
## 7195         High                          0.496445021
## 7196          Low                          0.819837560
## 7197         High                          0.013443446
## 7198          Low                          0.286381280
## 7199         High                          0.168487485
## 7200         High                          0.026291667
## 7201          Low                          0.547676922
## 7202          Low                          0.770758920
## 7203          Low                          0.213086196
## 7204          Low                          0.694910449
## 7205          Low                          0.085587498
## 7206          Low                          0.478598972
## 7207          Low                          1.013998335
## 7208          Low                          0.871499272
## 7209          Low                          1.114497929
## 7210          Low                          0.790912444
## 7211         High                          1.013998335
## 7212          Low                          0.255537126
## 7213          Low                          0.802066682
## 7214          Low                          1.317397499
## 7215          Low                          0.213086196
## 7216          Low                          0.681525475
## 7217         High                          0.801508970
## 7218          Low                          0.973842729
## 7219         High                          1.460174084
## 7220          Low                          0.436139076
## 7221         High                          0.233233927
## 7222          Low                          0.547676922
## 7223         High                          0.101621246
## 7224         High                          1.308809674
## 7225         High                          1.517420550
## 7226         High                          0.324606222
## 7227         High                          0.770758920
## 7228          Low                          0.011517406
## 7229         High                          0.547699230
## 7230         High                          0.748370258
## 7231         High                          0.567829952
## 7232          Low                          0.585265800
## 7233         High                          0.819837560
## 7234          Low                          0.547676922
## 7235          Low                          0.324606222
## 7236          Low                          0.324606222
## 7237         High                          0.101621246
## 7238          Low                          0.681525475
## 7239          Low                          0.101621246
## 7240          Low                          0.344757459
## 7241         High                          1.013998335
## 7242         High                          0.441767456
## 7243         High                          1.236659702
## 7244         High                          1.080924451
## 7245          Low                          0.324606222
## 7246          Low                          0.329143284
## 7247          Low                          0.233233927
## 7248          Low                          0.456291539
## 7249          Low                          0.681525475
## 7250         High                          0.681525475
## 7251          Low                          0.324606222
## 7252          Low                          0.101621246
## 7253          Low                          0.681525475
## 7254         High                          0.185210910
## 7255          Low                          1.013998335
## 7256         High                          0.121749933
## 7257         High                          0.679370564
## 7258          Low                          0.679370564
## 7259          Low                          0.121749933
## 7260          Low                          0.969380998
## 7261          Low                          1.125541924
## 7262         High                          0.770758920
## 7263          Low                          1.549409557
## 7264         High                          0.101621246
## 7265         High                          0.790912444
## 7266         High                          0.772989764
## 7267          Low                          0.634754130
## 7268         High                          0.400523731
## 7269         High                          0.958226674
## 7270         High                          0.659217226
## 7271          Low                          0.251905029
## 7272          Low                          1.237087722
## 7273          Low                          0.688217960
## 7274         High                          0.500906547
## 7275         High                          0.746295576
## 7276         High                          0.746295576
## 7277          Low                          1.013998335
## 7278         High                          0.547676922
## 7279          Low                          0.681525475
## 7280         High                          0.572215628
## 7281          Low                          0.233233927
## 7282          Low                          0.324606222
## 7283          Low                          0.264382780
## 7284          Low                          0.813220926
## 7285          Low                          0.324606222
## 7286         High                          0.121749933
## 7287         High                          0.121749933
## 7288          Low                          0.011517406
## 7289          Low                          0.066085329
## 7290         High                          0.246539821
## 7291          Low                          0.567829952
## 7292          Low                          1.013998335
## 7293          Low                          0.726142117
## 7294          Low                          0.458446363
## 7295         High                          0.324606222
## 7296          Low                          0.770758920
## 7297          Low                          0.324606222
## 7298          Low                          0.324606222
## 7299          Low                          0.572215628
## 7300          Low                          0.400447820
## 7301         High                          0.518752696
## 7302          Low                          1.360142814
## 7303         High                          1.483547426
## 7304         High                          1.237085787
## 7305         High                          0.355834647
## 7306         High                          0.436139076
## 7307         High                          0.166333697
## 7308          Low                          0.082363288
## 7309         High                          0.251905029
## 7310          Low                          0.634195960
## 7311          Low                          0.532061440
## 7312         High                          0.324606222
## 7313         High                          0.324606222
## 7314         High                          0.525369106
## 7315         High                          0.815375860
## 7316         High                          0.400523731
## 7317         High                          0.681525475
## 7318         High                          1.308809674
## 7319         High                          1.517420550
## 7320         High                          0.011517406
## 7321          Low                          0.456291539
## 7322         High                          0.520129169
## 7323         High                          1.360142814
## 7324         High                          0.547676922
## 7325         High                          0.741984239
## 7326         High                          0.961476823
## 7327          Low                          0.476292309
## 7328         High                          0.818162027
## 7329         High                          1.030898555
## 7330         High                          0.770758920
## 7331         High                          0.742873401
## 7332         High                          0.436139076
## 7333          Low                          0.436139076
## 7334          Low                          0.681525475
## 7335          Low                          0.770758920
## 7336          Low                          0.101621246
## 7337          Low                          0.790912444
## 7338         High                          0.453092598
## 7339         High                          0.011517406
## 7340         High                          1.114497929
## 7341          Low                          0.500526699
## 7342          Low                          1.683262890
## 7343          Low                          1.783652968
## 7344         High                          0.324606222
## 7345          Low                          0.681525475
## 7346          Low                          0.793067374
## 7347          Low                          0.329143284
## 7348          Low                          0.547676922
## 7349          Low                          0.121749933
## 7350          Low                          0.564630926
## 7351          Low                          0.329143284
## 7352         High                          0.101621246
## 7353          Low                          0.547676922
## 7354          Low                          0.344757459
## 7355          Low                          0.746295576
## 7356         High                          0.329143284
## 7357         High                          0.547676922
## 7358         High                          0.005801985
## 7359         High                          0.913609423
## 7360         High                          1.683262890
## 7361          Low                          0.116771485
## 7362          Low                          0.404909196
## 7363          Low                          0.748450500
## 7364         High                          0.112760607
## 7365         High                          0.213086196
## 7366         High                          0.534368135
## 7367          Low                          0.748450500
## 7368          Low                          0.845887100
## 7369         High                          0.274458305
## 7370          Low                          0.532061440
## 7371         High                          0.770758920
## 7372          Low                          1.308809674
## 7373         High                          1.517420550
## 7374          Low                          0.011517406
## 7375          Low                          0.790912444
## 7376          Low                          0.026291667
## 7377         High                          0.902455122
## 7378         High                          0.598985240
## 7379         High                          0.248846057
## 7380          Low                          0.245424657
## 7381         High                          0.632447398
## 7382          Low                          0.614600895
## 7383         High                          1.119587112
## 7384         High                          0.324606222
## 7385          Low                          0.532061440
## 7386          Low                          0.525369106
## 7387         High                          0.770758920
## 7388         High                          0.806452462
## 7389         High                          0.121749933
## 7390         High                          0.790912444
## 7391          Low                          0.456291539
## 7392          Low                          0.902455122
## 7393          Low                          0.743631886
## 7394          Low                          0.494883489
## 7395         High                          0.679370564
## 7396         High                          0.790912444
## 7397         High                          0.746219660
## 7398          Low                          0.233233927
## 7399         High                          0.679370564
## 7400          Low                          0.121749933
## 7401         High                          0.790912444
## 7402          Low                          0.011517406
## 7403         High                          1.409469947
## 7404         High                          1.483547426
## 7405         High                          0.213086196
## 7406         High                          0.007914226
## 7407          Low                          0.547676922
## 7408          Low                          0.324606222
## 7409          Low                          0.324606222
## 7410          Low                          0.681525475
## 7411         High                          1.237087722
## 7412          Low                          1.483547426
## 7413          Low                          0.992545860
## 7414          Low                          1.237087722
## 7415          Low                          2.017896684
## 7416          Low                          0.634195960
## 7417          Low                          1.175725554
## 7418          Low                          0.456291539
## 7419         High                          0.679370564
## 7420          Low                          0.770758920
## 7421         High                          0.213086196
## 7422         High                          0.213086196
## 7423         High                          1.192964318
## 7424          Low                          0.547676922
## 7425          Low                          0.324606222
## 7426         High                          0.679370564
## 7427         High                          0.608030703
## 7428         High                          0.494588320
## 7429          Low                          0.770758920
## 7430         High                          0.324606222
## 7431         High                          0.503061397
## 7432         High                          0.534368135
## 7433          Low                          0.213086196
## 7434         High                          0.770758920
## 7435          Low                          0.121749933
## 7436          Low                          0.567829952
## 7437         High                          0.121749933
## 7438         High                          0.213086196
## 7439         High                          0.389294422
## 7440          Low                          0.642173759
## 7441         High                          0.146192553
## 7442         High                          0.432802282
## 7443         High                          0.456291539
## 7444          Low                          0.902455122
## 7445          Low                          0.659217226
## 7446          Low                          0.005680258
## 7447         High                          0.567829952
## 7448         High                          0.790912444
## 7449         High                          1.308809674
## 7450          Low                          1.517420550
## 7451         High                          0.407139888
## 7452          Low                          0.259921985
## 7453         High                          0.168487485
## 7454         High                          0.681525475
## 7455         High                          0.101621246
## 7456          Low                          0.681525475
## 7457         High                          0.547676922
## 7458          Low                          0.101621246
## 7459         High                          0.482426875
## 7460          Low                          0.659217226
## 7461          Low                          0.681525475
## 7462          Low                          0.503061397
## 7463         High                          0.681525475
## 7464          Low                          0.121749933
## 7465         High                          0.079355292
## 7466          Low                          0.815375860
## 7467          Low                          0.679370564
## 7468          Low                          0.007914226
## 7469         High                          0.436139076
## 7470         High                          0.146192553
## 7471          Low                          0.213086196
## 7472          Low                          0.433984270
## 7473         High                          0.770758920
## 7474         High                          0.748450500
## 7475          Low                          0.013443446
## 7476          Low                          1.296084540
## 7477         High                          1.237085787
## 7478          Low                          1.016098588
## 7479          Low                          0.213086196
## 7480          Low                          0.770758920
## 7481         High                          0.324606222
## 7482          Low                          0.547699230
## 7483         High                          0.748370258
## 7484          Low                          0.257366033
## 7485         High                          1.193315948
## 7486          Low                          0.659217226
## 7487         High                          0.456291539
## 7488         High                          0.902455122
## 7489          Low                          0.619062517
## 7490         High                          0.564630926
## 7491          Low                          0.121749933
## 7492         High                          0.567829952
## 7493          Low                          0.532061440
## 7494          Low                          1.308809674
## 7495          Low                          0.547676922
## 7496         High                          0.770758920
## 7497          Low                          0.101621246
## 7498          Low                          0.344757459
## 7499         High                          0.679370564
## 7500         High                          0.325369529
## 7501         High                          0.547676922
## 7502          Low                          0.567829952
## 7503         High                          0.324606222
## 7504          Low                          0.324606222
## 7505          Low                          0.013443446
## 7506          Low                          0.018734564
## 7507         High                          0.770758920
## 7508          Low                          0.835529438
## 7509         High                          1.013998335
## 7510          Low                          1.308809674
## 7511         High                          1.517420550
## 7512          Low                          0.456291539
## 7513         High                          0.902455122
## 7514          Low                          0.436139076
## 7515         High                          0.344757459
## 7516          Low                          0.011517406
## 7517         High                          0.344757459
## 7518         High                          0.659217226
## 7519          Low                          0.005680258
## 7520         High                          0.436139076
## 7521          Low                          0.642173759
## 7522          Low                          0.436139076
## 7523          Low                          0.567829952
## 7524         High                          0.790912444
## 7525         High                          0.679370564
## 7526          Low                          0.920302006
## 7527          Low                          1.101002308
## 7528         High                          0.547676922
## 7529          Low                          0.436139076
## 7530         High                          0.121749933
## 7531         High                          0.659217226
## 7532         High                          0.324606222
## 7533         High                          0.185210910
## 7534          Low                          0.681525475
## 7535          Low                          0.681525475
## 7536         High                          0.110608312
## 7537         High                          0.213086196
## 7538         High                          0.233233927
## 7539          Low                          0.358065276
## 7540         High                          0.201935718
## 7541         High                          0.871499272
## 7542         High                          1.237087722
## 7543         High                          0.525369106
## 7544          Low                          0.284532650
## 7545          Low                          0.973842729
## 7546          Low                          0.547676922
## 7547         High                          0.659217226
## 7548          Low                          0.024042324
## 7549          Low                          0.679370564
## 7550         High                          1.048814874
## 7551         High                          0.121749933
## 7552          Low                          0.567829952
## 7553          Low                          0.503061397
## 7554         High                          0.534368135
## 7555          Low                          1.888493147
## 7556          Low                          0.057122956
## 7557          Low                          1.013998335
## 7558         High                          0.636909030
## 7559          Low                          0.413831977
## 7560         High                          0.185210910
## 7561         High                          0.598985240
## 7562         High                          0.424985501
## 7563         High                          0.449523427
## 7564         High                          0.213086196
## 7565         High                          0.324606222
## 7566         High                          0.330182668
## 7567         High                          0.436139076
## 7568          Low                          0.024042324
## 7569          Low                          0.659217226
## 7570          Low                          0.532061440
## 7571          Low                          0.324606222
## 7572          Low                          0.215137930
## 7573          Low                          0.547676922
## 7574          Low                          0.344757459
## 7575         High                          0.592292826
## 7576          Low                          0.514215238
## 7577         High                          0.024042324
## 7578         High                          0.077205786
## 7579         High                          0.121749933
## 7580          Low                          0.233233927
## 7581          Low                          0.030591891
## 7582          Low                          0.274458305
## 7583         High                          0.615273994
## 7584          Low                          0.503061397
## 7585         High                          0.456291539
## 7586          Low                          0.770758920
## 7587          Low                          0.659217226
## 7588          Low                          0.005680258
## 7589         High                          0.121749933
## 7590          Low                          0.567829952
## 7591         High                          1.424687348
## 7592          Low                          0.837684373
## 7593          Low                          0.751795667
## 7594         High                          1.310881577
## 7595          Low                          0.324606222
## 7596         High                          0.634195960
## 7597          Low                          1.310881577
## 7598         High                          0.251905029
## 7599         High                          0.871499272
## 7600          Low                          0.123902694
## 7601          Low                          0.288629846
## 7602         High                          0.751837762
## 7603          Low                          0.547676922
## 7604         High                          0.679370564
## 7605         High                          1.005074863
## 7606         High                          0.456291539
## 7607         High                          0.679370564
## 7608          Low                          0.525369106
## 7609          Low                          0.284532650
## 7610         High                          0.973842729
## 7611          Low                          1.054035772
## 7612          Low                          0.489752743
## 7613          Low                          1.181313826
## 7614          Low                          0.637444426
## 7615          Low                          0.770758920
## 7616         High                          0.969380998
## 7617          Low                          1.058615733
## 7618         High                          0.213086196
## 7619         High                          0.436139076
## 7620          Low                          0.344757459
## 7621          Low                          0.458446363
## 7622          Low                          0.344757459
## 7623         High                          0.344757459
## 7624          Low                          0.759604706
## 7625          Low                          0.088259063
## 7626          Low                          0.324606222
## 7627          Low                          0.007860543
## 7628          Low                          0.525369106
## 7629         High                          0.066085329
## 7630          Low                          0.598985240
## 7631          Low                          0.458446363
## 7632          Low                          0.188555773
## 7633         High                          0.030591891
## 7634         High                          0.054903144
## 7635          Low                          0.013850656
## 7636          Low                          0.110608312
## 7637         High                          0.360295910
## 7638         High                          0.224237076
## 7639          Low                          0.344757459
## 7640          Low                          0.233233927
## 7641         High                          0.790912444
## 7642         High                          0.233916320
## 7643          Low                          0.530665040
## 7644         High                          0.324606222
## 7645          Low                          0.324606222
## 7646          Low                          0.547676922
## 7647          Low                          0.726142117
## 7648         High                          0.300146122
## 7649         High                          0.902455122
## 7650         High                          1.281703393
## 7651         High                          0.101621246
## 7652         High                          0.679370564
## 7653          Low                          0.547676922
## 7654         High                          0.411677190
## 7655         High                          0.146192553
## 7656          Low                          0.547676922
## 7657          Low                          0.121749933
## 7658         High                          0.329143284
## 7659         High                          0.215316342
## 7660         High                          0.703909690
## 7661          Low                          0.007914226
## 7662          Low                          0.121749933
## 7663          Low                          0.681525475
## 7664          Low                          0.121749933
## 7665          Low                          0.456291539
## 7666         High                          0.634195960
## 7667          Low                          1.175725554
## 7668         High                          0.770758920
## 7669          Low                          0.233233927
## 7670         High                          0.330182668
## 7671         High                          0.547676922
## 7672         High                          0.770758920
## 7673          Low                          0.799492215
## 7674          Low                          0.251254832
## 7675          Low                          0.837684373
## 7676         High                          0.790912444
## 7677         High                          1.125541924
## 7678         High                          0.679370564
## 7679         High                          0.902455122
## 7680         High                          0.188555773
## 7681         High                          0.494588320
## 7682         High                          0.013850656
## 7683         High                          0.790912444
## 7684         High                          0.567829952
## 7685          Low                          0.759604706
## 7686          Low                          0.088259063
## 7687          Low                          0.011517406
## 7688         High                          0.790912444
## 7689          Low                          0.251089718
## 7690          Low                          0.121749933
## 7691          Low                          0.679370564
## 7692          Low                          0.679370564
## 7693          Low                          1.013998335
## 7694          Low                          0.547676922
## 7695          Low                          0.114988832
## 7696          Low                          0.700487526
## 7697          Low                          0.759604706
## 7698         High                          0.088259063
## 7699          Low                          1.077187021
## 7700          Low                          1.308809674
## 7701          Low                          0.730459160
## 7702          Low                          1.308809674
## 7703          Low                          0.348016107
## 7704         High                          0.534956402
## 7705         High                          0.348016107
## 7706         High                          0.525369106
## 7707          Low                          0.547676922
## 7708          Low                          0.458446363
## 7709          Low                          0.101621246
## 7710          Low                          0.547676922
## 7711          Low                          0.458446363
## 7712          Low                          0.519792168
## 7713          Low                          0.018662101
## 7714         High                          0.525369106
## 7715          Low                          0.770758920
## 7716          Low                          0.024042324
## 7717          Low                          0.257691601
## 7718         High                          0.726142117
## 7719          Low                          0.547676922
## 7720          Low                          0.121749933
## 7721          Low                          0.330365198
## 7722         High                          0.770758920
## 7723          Low                          0.324606222
## 7724         High                          0.659217226
## 7725          Low                          0.021951815
## 7726          Low                          0.790912444
## 7727          Low                          0.344757459
## 7728          Low                          0.790912444
## 7729          Low                          0.030591891
## 7730         High                          0.436139076
## 7731         High                          0.344757459
## 7732          Low                          0.436139076
## 7733         High                          0.480753810
## 7734          Low                          0.255537126
## 7735         High                          0.313453416
## 7736          Low                          0.011517406
## 7737         High                          0.456291539
## 7738         High                          0.746295576
## 7739          Low                          1.013998335
## 7740          Low                          0.384833081
## 7741         High                          0.411601278
## 7742          Low                          0.384833081
## 7743         High                          0.961476823
## 7744         High                          0.362526546
## 7745         High                          0.030591891
## 7746          Low                          1.237085787
## 7747          Low                          0.121749933
## 7748          Low                          0.436139076
## 7749         High                          0.101621246
## 7750         High                          0.121749933
## 7751         High                          0.515071921
## 7752          Low                          0.679370564
## 7753         High                          0.759604706
## 7754          Low                          0.088259063
## 7755         High                          0.759604706
## 7756          Low                          0.088259063
## 7757         High                          0.077205786
## 7758          Low                          0.412536345
## 7759          Low                          1.360142814
## 7760          Low                          0.525369106
## 7761         High                          0.233233927
## 7762         High                          0.445137882
## 7763          Low                          0.362526546
## 7764          Low                          0.121749933
## 7765         High                          0.436139076
## 7766          Low                          0.171907919
## 7767         High                          0.369218475
## 7768          Low                          0.525369106
## 7769          Low                          0.324606222
## 7770          Low                          0.679370564
## 7771          Low                          0.257468563
## 7772          Low                          0.502691158
## 7773         High                          0.532061440
## 7774         High                          0.436139076
## 7775         High                          0.369218475
## 7776          Low                          0.819837560
## 7777          Low                          0.770758920
## 7778         High                          0.358065276
## 7779          Low                          0.612446000
## 7780         High                          0.235388300
## 7781         High                          0.681525475
## 7782          Low                          0.751795667
## 7783          Low                          1.457607011
## 7784          Low                          0.101621246
## 7785          Low                          0.770758920
## 7786         High                          0.235388300
## 7787          Low                          0.547676922
## 7788          Low                          0.324606222
## 7789          Low                          0.371855287
## 7790         High                          0.318056861
## 7791          Low                          0.030591891
## 7792          Low                          0.456291539
## 7793          Low                          0.679370564
## 7794          Low                          0.324606222
## 7795          Low                          0.458446363
## 7796          Low                          0.344757459
## 7797          Low                          0.819837560
## 7798         High                          0.233233927
## 7799          Low                          0.445137882
## 7800         High                          0.024042324
## 7801          Low                          0.458446363
## 7802         High                          0.770758920
## 7803         High                          0.547676922
## 7804         High                          1.308809674
## 7805          Low                          1.517420550
## 7806         High                          0.324606222
## 7807          Low                          1.683262890
## 7808          Low                          0.436139076
## 7809          Low                          1.586888477
## 7810         High                          0.730459160
## 7811         High                          0.013443446
## 7812          Low                          0.547676922
## 7813          Low                          0.369218475
## 7814          Low                          0.259997886
## 7815          Low                          0.344757459
## 7816         High                          0.146192553
## 7817         High                          0.799694676
## 7818          Low                          0.961476823
## 7819          Low                          0.819837560
## 7820         High                          0.532061440
## 7821         High                          0.362526546
## 7822         High                          0.819837560
## 7823         High                          1.460174084
## 7824          Low                          0.013850656
## 7825          Low                          0.681525475
## 7826         High                          0.032862744
## 7827          Low                          0.436139076
## 7828         High                          0.101621246
## 7829          Low                          0.384833081
## 7830         High                          0.367077055
## 7831          Low                          0.532061440
## 7832         High                          0.007914226
## 7833          Low                          0.509307544
## 7834          Low                          0.032787930
## 7835          Low                          0.770758920
## 7836          Low                          0.121749933
## 7837          Low                          0.089284592
## 7838          Low                          0.500526699
## 7839          Low                          0.759604706
## 7840          Low                          0.088259063
## 7841         High                          0.759604706
## 7842          Low                          0.088259063
## 7843         High                          0.456291539
## 7844          Low                          0.870850788
## 7845          Low                          1.243554163
## 7846          Low                          0.369752894
## 7847         High                          0.567829952
## 7848          Low                          0.902455122
## 7849          Low                          0.430339211
## 7850          Low                          0.891568530
## 7851         High                          0.741833897
## 7852          Low                          0.902901294
## 7853         High                          0.030591891
## 7854         High                          0.423589145
## 7855         High                          0.324606222
## 7856         High                          0.344757459
## 7857          Low                          1.310881577
## 7858          Low                          1.483547426
## 7859          Low                          0.515071921
## 7860          Low                          0.114988832
## 7861         High                          0.324606222
## 7862          Low                          0.030591891
## 7863         High                          0.770758920
## 7864          Low                          0.324606222
## 7865          Low                          0.436139076
## 7866          Low                          0.547676922
## 7867          Low                          1.517420550
## 7868          Low                          0.233233927
## 7869         High                          0.445137882
## 7870          Low                          0.329143284
## 7871         High                          0.389816467
## 7872          Low                          0.659217226
## 7873          Low                          0.458446363
## 7874         High                          0.458446363
## 7875         High                          0.032862744
## 7876          Low                          0.902455122
## 7877          Low                          0.013443446
## 7878          Low                          0.121749933
## 7879          Low                          0.770758920
## 7880         High                          0.121749933
## 7881          Low                          0.238902004
## 7882          Low                          0.101621246
## 7883         High                          0.567829952
## 7884          Low                          1.125541924
## 7885          Low                          1.281703393
## 7886          Low                          0.233233927
## 7887         High                          0.456291539
## 7888          Low                          0.714987940
## 7889         High                          0.534368135
## 7890         High                          1.683262890
## 7891         High                          0.880146538
## 7892          Low                          0.464625510
## 7893         High                          0.324606222
## 7894          Low                          0.344757459
## 7895         High                          0.469600068
## 7896          Low                          0.612446000
## 7897         High                          0.567829952
## 7898         High                          1.013998335
## 7899         High                          0.815375860
## 7900         High                          0.233233927
## 7901          Low                          0.759604706
## 7902         High                          0.770758920
## 7903          Low                          0.324606222
## 7904          Low                          0.251905029
## 7905          Low                          0.871499272
## 7906         High                          1.450104679
## 7907          Low                          1.359236357
## 7908         High                          0.759604706
## 7909          Low                          0.088259063
## 7910         High                          0.436139076
## 7911          Low                          0.344757459
## 7912          Low                          0.089284592
## 7913          Low                          0.730459160
## 7914         High                          0.532061440
## 7915         High                          0.759604706
## 7916          Low                          0.088259063
## 7917          Low                          0.324606222
## 7918         High                          0.679370564
## 7919          Low                          0.114988832
## 7920          Low                          0.770758920
## 7921          Low                          0.770758920
## 7922          Low                          0.324606222
## 7923          Low                          0.344757459
## 7924          Low                          0.871499272
## 7925          Low                          1.114497929
## 7926          Low                          0.190785711
## 7927          Low                          0.679370564
## 7928         High                          1.013998335
## 7929          Low                          0.819837560
## 7930         High                          0.770758920
## 7931          Low                          0.324606222
## 7932         High                          0.456291539
## 7933          Low                          1.360142814
## 7934         High                          0.324606222
## 7935          Low                          1.013998335
## 7936          Low                          0.329143284
## 7937          Low                          0.057122956
## 7938         High                          0.547676922
## 7939          Low                          1.146647741
## 7940          Low                          1.239300842
## 7941          Low                          1.013998335
## 7942          Low                          1.237085787
## 7943          Low                          0.621293329
## 7944          Low                          0.525369106
## 7945          Low                          0.567829952
## 7946         High                          1.181313826
## 7947         High                          0.456291539
## 7948         High                          0.679370564
## 7949         High                          0.030591891
## 7950         High                          0.413831977
## 7951          Low                          0.233916320
## 7952          Low                          0.530665040
## 7953          Low                          0.389816467
## 7954         High                          0.947072354
## 7955          Low                          0.324606222
## 7956         High                          0.430339211
## 7957         High                          0.891568530
## 7958         High                          0.167838718
## 7959          Low                          0.213086196
## 7960         High                          0.213086196
## 7961         High                          0.742873401
## 7962          Low                          0.679370564
## 7963         High                          0.436139076
## 7964          Low                          0.011517406
## 7965         High                          0.251905029
## 7966         High                          0.634195960
## 7967         High                          1.125541924
## 7968          Low                          1.281703393
## 7969         High                          0.121749933
## 7970          Low                          1.013998335
## 7971         High                          0.101621246
## 7972         High                          0.233233927
## 7973          Low                          0.659217226
## 7974          Low                          0.013850656
## 7975          Low                          0.257343730
## 7976          Low                          1.193315948
## 7977          Low                          0.633161259
## 7978          Low                          0.344757459
## 7979          Low                          0.251089718
## 7980          Low                          0.770758920
## 7981         High                          0.515071921
## 7982          Low                          1.549409557
## 7983          Low                          0.286381280
## 7984         High                          0.412536345
## 7985          Low                          0.788605681
## 7986         High                          0.286381280
## 7987          Low                          1.192964318
## 7988         High                          0.101621246
## 7989          Low                          0.503061397
## 7990         High                          0.534368135
## 7991          Low                          0.992545860
## 7992         High                          1.065636135
## 7993          Low                          1.114497929
## 7994         High                          1.237087722
## 7995          Low                          0.065107286
## 7996         High                          0.221114793
## 7997          Low                          0.915227563
## 7998         High                          1.077187021
## 7999         High                          1.067951405
## 8000         High                          0.121749933
## 8001          Low                          0.330182668
## 8002          Low                          1.772505873
## 8003         High                          0.456291539
## 8004          Low                          0.790912444
## 8005          Low                          0.659217226
## 8006          Low                          0.121749933
## 8007         High                          0.770758920
## 8008          Low                          0.819837560
## 8009         High                          0.621293329
## 8010         High                          0.458446363
## 8011         High                          0.458446363
## 8012          Low                          0.213086196
## 8013         High                          0.746219660
## 8014         High                          0.547676922
## 8015         High                          0.034988380
## 8016          Low                          0.101621246
## 8017         High                          0.621293329
## 8018          Low                          0.525369106
## 8019          Low                          0.436139076
## 8020          Low                          0.525369106
## 8021         High                          1.839425258
## 8022          Low                          0.101621246
## 8023         High                          0.547676922
## 8024         High                          0.121749933
## 8025         High                          0.030591891
## 8026         High                          0.714987940
## 8027          Low                          0.534368135
## 8028         High                          0.121749933
## 8029         High                          0.121749933
## 8030         High                          0.146192553
## 8031          Low                          0.011517406
## 8032         High                          0.790912444
## 8033          Low                          0.547676922
## 8034          Low                          0.013850656
## 8035          Low                          0.659217226
## 8036         High                          0.636909030
## 8037          Low                          0.369218475
## 8038          Low                          0.255537126
## 8039          Low                          0.050541909
## 8040         High                          0.987227925
## 8041          Low                          0.657962915
## 8042          Low                          0.984613444
## 8043          Low                          0.748450500
## 8044          Low                          0.168487485
## 8045          Low                          0.547676922
## 8046          Low                          0.411677190
## 8047         High                          0.057122956
## 8048          Low                          0.040504083
## 8049         High                          0.302300736
## 8050         High                          1.683262890
## 8051         High                          0.007914226
## 8052          Low                          0.742873401
## 8053          Low                          0.255537126
## 8054          Low                          0.407139888
## 8055         High                          0.344757459
## 8056         High                          0.419051820
## 8057          Low                          0.689632373
## 8058          Low                          0.079355292
## 8059         High                          0.590137939
## 8060         High                          0.523787078
## 8061         High                          1.237085787
## 8062          Low                          0.449523427
## 8063         High                          0.324606222
## 8064          Low                          0.770758920
## 8065         High                          0.799536832
## 8066         High                          0.697707978
## 8067          Low                          0.324606222
## 8068          Low                          0.456291539
## 8069         High                          0.679370564
## 8070          Low                          0.046034621
## 8071         High                          0.324606222
## 8072         High                          0.233233927
## 8073         High                          0.532061440
## 8074         High                          0.547676922
## 8075         High                          0.681525475
## 8076         High                          0.032862744
## 8077          Low                          0.567829952
## 8078          Low                          1.181313826
## 8079         High                          0.101621246
## 8080          Low                          0.478598972
## 8081          Low                          0.436139076
## 8082         High                          0.101621246
## 8083          Low                          0.344757459
## 8084         High                          0.567829952
## 8085          Low                          0.659217226
## 8086          Low                          1.281703393
## 8087          Low                          0.324606222
## 8088          Low                          0.547676922
## 8089          Low                          0.679370564
## 8090         High                          0.525369106
## 8091          Low                          0.121749933
## 8092         High                          0.621293329
## 8093          Low                          0.547676922
## 8094         High                          0.567829952
## 8095         High                          0.636909030
## 8096         High                          0.684343435
## 8097         High                          1.517420550
## 8098          Low                          0.007860543
## 8099          Low                          0.770758920
## 8100          Low                          0.101621246
## 8101          Low                          1.192964318
## 8102          Low                          1.239300842
## 8103          Low                          1.471057034
## 8104         High                          1.239300842
## 8105          Low                          1.471057034
## 8106          Low                          0.659217226
## 8107          Low                          0.324606222
## 8108          Low                          0.233233927
## 8109          Low                          0.947072354
## 8110         High                          0.547676922
## 8111         High                          0.344757459
## 8112         High                          0.324606222
## 8113          Low                          0.121749933
## 8114          Low                          0.168487485
## 8115          Low                          0.066085329
## 8116         High                          0.168487485
## 8117          Low                          0.369218475
## 8118         High                          0.255537126
## 8119         High                          0.547676922
## 8120          Low                          0.503061397
## 8121          Low                          0.770758920
## 8122         High                          0.369218475
## 8123         High                          0.255537126
## 8124         High                          0.684343435
## 8125         High                          1.517420550
## 8126         High                          0.659217226
## 8127         High                          0.005680258
## 8128         High                          0.525369106
## 8129         High                          0.101621246
## 8130         High                          0.681525475
## 8131          Low                          0.032862744
## 8132          Low                          0.547676922
## 8133          Low                          0.751795667
## 8134          Low                          1.457607011
## 8135          Low                          0.324606222
## 8136          Low                          0.233233927
## 8137         High                          0.384833081
## 8138          Low                          0.819837560
## 8139         High                          0.411677190
## 8140          Low                          1.237085787
## 8141         High                          0.013443446
## 8142         High                          0.190785711
## 8143         High                          0.007914226
## 8144          Low                          0.233233927
## 8145          Low                          0.567829952
## 8146         High                          0.235388300
## 8147          Low                          0.746295576
## 8148          Low                          0.659217226
## 8149          Low                          0.011517406
## 8150          Low                          0.790912444
## 8151          Low                          0.213086196
## 8152          Low                          0.632447398
## 8153          Low                          0.208701845
## 8154         High                          0.324606222
## 8155         High                          0.567829952
## 8156         High                          0.770758920
## 8157          Low                          0.121749933
## 8158         High                          0.324606222
## 8159         High                          0.770758920
## 8160          Low                          0.213086196
## 8161          Low                          0.659217226
## 8162         High                          0.101621246
## 8163          Low                          0.478598972
## 8164         High                          0.770758920
## 8165          Low                          0.101621246
## 8166         High                          0.121749933
## 8167          Low                          0.101621246
## 8168         High                          0.532061440
## 8169         High                          0.460677101
## 8170         High                          0.746295576
## 8171          Low                          0.770758920
## 8172          Low                          0.714987940
## 8173          Low                          0.871499272
## 8174         High                          1.803469262
## 8175         High                          0.254627932
## 8176         High                          0.986474993
## 8177          Low                          0.659217226
## 8178          Low                          0.213086196
## 8179          Low                          0.770758920
## 8180         High                          0.106018753
## 8181         High                          0.659217226
## 8182         High                          0.845887100
## 8183         High                          1.540609502
## 8184         High                          0.324606222
## 8185         High                          0.121749933
## 8186         High                          0.621293329
## 8187         High                          0.436139076
## 8188         High                          0.456291539
## 8189          Low                          0.547676922
## 8190          Low                          0.567829952
## 8191          Low                          0.324606222
## 8192          Low                          0.121749933
## 8193          Low                          0.742873401
## 8194          Low                          0.659217226
## 8195          Low                          0.121749933
## 8196         High                          0.324606222
## 8197          Low                          0.324606222
## 8198         High                          0.121749933
## 8199          Low                          0.614600895
## 8200         High                          0.770758920
## 8201          Low                          0.819837560
## 8202          Low                          0.324606222
## 8203          Low                          0.011517406
## 8204         High                          0.819837560
## 8205          Low                          0.924763728
## 8206         High                          0.168487485
## 8207          Low                          0.168487485
## 8208         High                          0.815375860
## 8209          Low                          0.770758920
## 8210          Low                          0.324606222
## 8211          Low                          0.168487485
## 8212          Low                          0.222898951
## 8213         High                          0.770758920
## 8214          Low                          0.324606222
## 8215         High                          0.324606222
## 8216          Low                          0.101621246
## 8217          Low                          0.823430887
## 8218          Low                          1.065636135
## 8219         High                          0.806452462
## 8220         High                          1.163470594
## 8221         High                          1.409469947
## 8222          Low                          0.503061397
## 8223          Low                          0.101621246
## 8224          Low                          0.679370564
## 8225         High                          0.547676922
## 8226          Low                          0.121749933
## 8227         High                          0.648063121
## 8228          Low                          0.547676922
## 8229         High                          0.344757459
## 8230          Low                          0.659217226
## 8231          Low                          0.436139076
## 8232          Low                          0.030591891
## 8233          Low                          0.770758920
## 8234         High                          0.369218475
## 8235          Low                          0.244385394
## 8236         High                          0.547676922
## 8237          Low                          0.503061397
## 8238         High                          0.121749933
## 8239          Low                          0.324606222
## 8240         High                          0.213086196
## 8241          Low                          0.121749933
## 8242          Low                          0.491907587
## 8243         High                          0.469600068
## 8244         High                          1.214776996
## 8245         High                          1.460174084
## 8246          Low                          1.460174084
## 8247         High                          0.947072354
## 8248         High                          0.296974793
## 8249         High                          1.208839252
## 8250          Low                          0.121749933
## 8251          Low                          1.460174084
## 8252         High                          0.324606222
## 8253          Low                          0.233233927
## 8254          Low                          0.659217226
## 8255          Low                          1.826348416
## 8256         High                          0.456291539
## 8257          Low                          0.902455122
## 8258          Low                          0.302300736
## 8259          Low                          0.770758920
## 8260         High                          0.324606222
## 8261          Low                          0.101621246
## 8262         High                          0.121749933
## 8263          Low                          0.547676922
## 8264         High                          0.213086196
## 8265          Low                          0.519677656
## 8266         High                          0.992056515
## 8267          Low                          0.011517406
## 8268         High                          0.790912444
## 8269          Low                          0.819837560
## 8270          Low                          0.532061440
## 8271          Low                          0.547676922
## 8272          Low                          0.679370564
## 8273          Low                          0.324606222
## 8274         High                          0.024042324
## 8275          Low                          0.679370564
## 8276         High                          1.013998335
## 8277          Low                          0.815375860
## 8278         High                          0.121749933
## 8279          Low                          1.752416879
## 8280         High                          0.324606222
## 8281          Low                          0.324606222
## 8282          Low                          0.519677656
## 8283          Low                          0.870986402
## 8284         High                          0.121749933
## 8285          Low                          0.324606222
## 8286          Low                          0.233233927
## 8287          Low                          0.659217226
## 8288         High                          0.121749933
## 8289          Low                          0.612446000
## 8290         High                          0.751837762
## 8291          Low                          1.551861953
## 8292         High                          0.324606222
## 8293         High                          0.436139076
## 8294         High                          0.324606222
## 8295         High                          0.233233927
## 8296         High                          0.121749933
## 8297          Low                          1.323161916
## 8298         High                          1.528986540
## 8299          Low                          0.233916320
## 8300          Low                          0.530665040
## 8301          Low                          0.770758920
## 8302         High                          0.324606222
## 8303          Low                          0.233233927
## 8304         High                          0.380371751
## 8305          Low                          0.121749933
## 8306          Low                          1.125541924
## 8307          Low                          1.281703393
## 8308          Low                          1.071675437
## 8309          Low                          0.324606222
## 8310          Low                          0.480753810
## 8311          Low                          0.032862744
## 8312          Low                          0.547676922
## 8313         High                          0.062973759
## 8314         High                          0.877915680
## 8315          Low                          0.382602414
## 8316          Low                          0.547676922
## 8317          Low                          0.567829952
## 8318          Low                          0.681525475
## 8319         High                          0.032862744
## 8320         High                          0.121749933
## 8321         High                          0.659217226
## 8322         High                          0.547676922
## 8323          Low                          0.233916320
## 8324         High                          0.530665040
## 8325         High                          1.236659702
## 8326          Low                          1.254563954
## 8327         High                          1.483248069
## 8328         High                          0.114988832
## 8329          Low                          1.025966504
## 8330          Low                          0.770758920
## 8331         High                          0.324606222
## 8332         High                          0.679370564
## 8333         High                          1.013998335
## 8334         High                          1.237085787
## 8335         High                          0.636909030
## 8336          Low                          0.413831977
## 8337          Low                          0.302300736
## 8338          Low                          0.419051820
## 8339          Low                          0.689632373
## 8340         High                          0.121749933
## 8341         High                          0.902455122
## 8342         High                          0.866016626
## 8343         High                          1.551861953
## 8344          Low                          0.101621246
## 8345          Low                          0.790912444
## 8346          Low                          1.237085787
## 8347          Low                          0.324606222
## 8348         High                          0.233233927
## 8349         High                          0.121749933
## 8350          Low                          1.323161916
## 8351          Low                          1.528986540
## 8352         High                          0.659217226
## 8353         High                          0.503061397
## 8354         High                          0.534368135
## 8355          Low                          0.101621246
## 8356          Low                          0.324606222
## 8357          Low                          0.233916320
## 8358          Low                          0.530665040
## 8359          Low                          0.324606222
## 8360          Low                          0.233233927
## 8361         High                          0.534292221
## 8362          Low                          0.362602456
## 8363          Low                          0.436139076
## 8364          Low                          0.547676922
## 8365          Low                          0.344757459
## 8366         High                          0.121749933
## 8367          Low                          0.030591891
## 8368         High                          0.547676922
## 8369          Low                          0.121749933
## 8370         High                          0.324606222
## 8371          Low                          0.659217226
## 8372         High                          0.770758920
## 8373         High                          0.547676922
## 8374         High                          0.902455122
## 8375         High                          1.125541924
## 8376         High                          0.980252009
## 8377         High                          1.208839252
## 8378         High                          0.659217226
## 8379         High                          0.436139076
## 8380          Low                          0.011517406
## 8381         High                          0.790912444
## 8382          Low                          0.547676922
## 8383          Low                          0.233233927
## 8384         High                          0.653863254
## 8385         High                          0.324606222
## 8386         High                          0.144039162
## 8387         High                          0.075132360
## 8388         High                          0.629527486
## 8389         High                          0.943497057
## 8390         High                          1.310468655
## 8391         High                          0.188555773
## 8392         High                          0.233233927
## 8393          Low                          0.213086196
## 8394         High                          0.121749933
## 8395          Low                          0.612446000
## 8396          Low                          0.324606222
## 8397          Low                          0.233233927
## 8398         High                          0.101621246
## 8399          Low                          0.790912444
## 8400         High                          1.237085787
## 8401          Low                          0.532061440
## 8402         High                          0.121749933
## 8403         High                          0.819837560
## 8404         High                          0.679370564
## 8405          Low                          1.323161916
## 8406          Low                          1.528986540
## 8407         High                          0.770758920
## 8408          Low                          0.324606222
## 8409         High                          0.101621246
## 8410         High                          0.790912444
## 8411         High                          0.957407915
## 8412          Low                          1.025966504
## 8413          Low                          0.547676922
## 8414          Low                          0.344757459
## 8415         High                          0.413831977
## 8416          Low                          0.592292826
## 8417         High                          0.547676922
## 8418          Low                          0.114988832
## 8419         High                          0.235388300
## 8420          Low                          0.210931958
## 8421         High                          0.519677656
## 8422          Low                          0.943497057
## 8423         High                          0.011517406
## 8424         High                          0.790912444
## 8425         High                          0.499984494
## 8426          Low                          0.534292221
## 8427         High                          0.659217226
## 8428          Low                          0.121749933
## 8429         High                          0.790912444
## 8430          Low                          0.776336031
## 8431         High                          0.547676922
## 8432          Low                          0.121749933
## 8433          Low                          0.079355292
## 8434          Low                          0.659217226
## 8435          Low                          0.324606222
## 8436          Low                          0.173539776
## 8437          Low                          0.751837762
## 8438          Low                          0.659217226
## 8439          Low                          0.121749933
## 8440          Low                          0.324606222
## 8441          Low                          0.233233927
## 8442          Low                          0.866016626
## 8443         High                          1.437511361
## 8444          Low                          0.547676922
## 8445         High                          0.547676922
## 8446          Low                          0.911703015
## 8447          Low                          0.324606222
## 8448         High                          0.233233927
## 8449          Low                          0.770758920
## 8450         High                          0.324606222
## 8451          Low                          0.114988832
## 8452         High                          0.567829952
## 8453          Low                          0.532061440
## 8454         High                          0.659217226
## 8455          Low                          0.101621246
## 8456          Low                          0.770758920
## 8457          Low                          0.636909030
## 8458         High                          0.324606222
## 8459          Low                          0.532061440
## 8460         High                          1.757722886
## 8461          Low                          0.344757459
## 8462          Low                          0.866016626
## 8463          Low                          1.551861953
## 8464          Low                          0.213086196
## 8465          Low                          0.659217226
## 8466          Low                          0.007914226
## 8467          Low                          0.633694020
## 8468          Low                          1.359757922
## 8469         High                          1.323161916
## 8470          Low                          1.528986540
## 8471          Low                          0.382602414
## 8472          Low                          0.121749933
## 8473         High                          0.082363288
## 8474         High                          0.547676922
## 8475          Low                          0.121749933
## 8476          Low                          0.317989863
## 8477         High                          0.870986402
## 8478          Low                          0.436139076
## 8479         High                          0.101621246
## 8480         High                          0.413831977
## 8481         High                          0.034988380
## 8482          Low                          0.121749933
## 8483         High                          0.659217226
## 8484         High                          0.324606222
## 8485         High                          0.233233927
## 8486          Low                          0.030591891
## 8487          Low                          0.121749933
## 8488          Low                          0.902455122
## 8489         High                          0.324606222
## 8490         High                          0.233233927
## 8491          Low                          0.980252009
## 8492         High                          1.551861953
## 8493          Low                          0.547676922
## 8494          Low                          0.681525475
## 8495          Low                          0.032862744
## 8496          Low                          0.279995814
## 8497          Low                          0.532061440
## 8498          Low                          0.866016626
## 8499         High                          0.569984832
## 8500          Low                          0.077205786
## 8501          Low                          0.114988832
## 8502          Low                          0.659217226
## 8503         High                          0.121749933
## 8504          Low                          0.567829952
## 8505          Low                          0.902455122
## 8506          Low                          0.659217226
## 8507          Low                          0.121749933
## 8508         High                          1.114041216
## 8509          Low                          1.483208981
## 8510         High                          0.659217226
## 8511         High                          0.567829952
## 8512         High                          0.742873401
## 8513          Low                          0.240964026
## 8514         High                          0.742873401
## 8515          Low                          0.742873401
## 8516         High                          0.742873401
## 8517         High                          0.240964026
## 8518          Low                          0.480753810
## 8519         High                          0.819837560
## 8520          Low                          1.336248456
## 8521         High                          0.532061440
## 8522          Low                          1.323161916
## 8523          Low                          1.528986540
## 8524         High                          0.819837560
## 8525          Low                          0.532061440
## 8526          Low                          0.659217226
## 8527          Low                          0.121749933
## 8528         High                          0.101621246
## 8529          Low                          0.233233927
## 8530         High                          0.532061440
## 8531          Low                          0.547676922
## 8532          Low                          0.114988832
## 8533          Low                          0.819837560
## 8534         High                          0.317989863
## 8535         High                          0.751281732
## 8536         High                          0.532061440
## 8537          Low                          0.786374835
## 8538         High                          0.259997886
## 8539          Low                          0.659217226
## 8540         High                          0.233916320
## 8541          Low                          0.530665040
## 8542          Low                          0.083276951
## 8543          Low                          1.616336207
## 8544          Low                          1.597602794
## 8545          Low                          0.302300736
## 8546          Low                          0.405979928
## 8547          Low                          0.547676922
## 8548          Low                          0.121749933
## 8549         High                          0.659217226
## 8550          Low                          0.121749933
## 8551         High                          0.636909030
## 8552          Low                          0.532061440
## 8553          Low                          0.547676922
## 8554          Low                          0.011517406
## 8555         High                          0.818209039
## 8556          Low                          0.079355292
## 8557          Low                          0.590137939
## 8558          Low                          0.079355292
## 8559         High                          0.410102478
## 8560          Low                          0.514215238
## 8561         High                          0.344757459
## 8562          Low                          0.628061684
## 8563          Low                          1.335244559
## 8564          Low                          0.480753810
## 8565          Low                          0.101621246
## 8566          Low                          0.681525475
## 8567          Low                          0.770758920
## 8568          Low                          0.547676922
## 8569         High                          0.344757459
## 8570         High                          0.324606222
## 8571         High                          0.121749933
## 8572         High                          0.456291539
## 8573          Low                          0.612446000
## 8574         High                          0.101621246
## 8575          Low                          0.681525475
## 8576          Low                          0.032862744
## 8577          Low                          1.323161916
## 8578          Low                          1.528986540
## 8579         High                          0.114988832
## 8580          Low                          1.114041216
## 8581         High                          1.359757922
## 8582          Low                          0.547676922
## 8583         High                          0.659217226
## 8584          Low                          0.121749933
## 8585          Low                          0.121749933
## 8586          Low                          0.324606222
## 8587          Low                          0.233233927
## 8588          Low                          1.187551870
## 8589         High                          0.924763728
## 8590          Low                          1.483248069
## 8591          Low                          0.237618582
## 8592          Low                          0.480753810
## 8593          Low                          0.747067379
## 8594          Low                          0.657062320
## 8595         High                          0.302300736
## 8596          Low                          0.547676922
## 8597          Low                          0.121749933
## 8598         High                          0.335214826
## 8599          Low                          0.519677656
## 8600         High                          0.567829952
## 8601          Low                          1.181313826
## 8602         High                          0.770758920
## 8603          Low                          0.659217226
## 8604          Low                          0.121749933
## 8605         High                          0.819837560
## 8606          Low                          0.445151199
## 8607         High                          0.547676922
## 8608         High                          0.101621246
## 8609          Low                          0.391525097
## 8610         High                          0.294569847
## 8611          Low                          0.121749933
## 8612         High                          0.188631658
## 8613         High                          0.344757459
## 8614         High                          0.121749933
## 8615         High                          0.567829952
## 8616         High                          1.181313826
## 8617          Low                          0.503061397
## 8618         High                          0.534368135
## 8619         High                          0.011517406
## 8620          Low                          0.790912444
## 8621          Low                          0.380371751
## 8622          Low                          0.257691601
## 8623         High                          0.026291667
## 8624         High                          1.254563954
## 8625         High                          1.551861953
## 8626         High                          0.144039162
## 8627         High                          0.101621246
## 8628         High                          0.532061440
## 8629          Low                          1.683262890
## 8630         High                          0.612446000
## 8631          Low                          1.281703393
## 8632         High                          0.547676922
## 8633         High                          0.233233927
## 8634         High                          0.612446000
## 8635         High                          1.415556376
## 8636          Low                          0.213086196
## 8637          Low                          0.612446000
## 8638         High                          1.281703393
## 8639          Low                          0.548792316
## 8640          Low                          0.007860543
## 8641          Low                          0.362602456
## 8642          Low                          0.478598972
## 8643          Low                          1.147850677
## 8644         High                          0.567829952
## 8645         High                          0.526116749
## 8646         High                          1.681257551
## 8647         High                          0.532061440
## 8648         High                          0.114988832
## 8649          Low                          0.491981521
## 8650         High                          0.532061440
## 8651          Low                          0.532061440
## 8652         High                          0.057122956
## 8653         High                          1.504791812
## 8654         High                          0.456291539
## 8655          Low                          0.902455122
## 8656         High                          1.504791812
## 8657          Low                          0.252328913
## 8658          Low                          0.519677656
## 8659          Low                          0.030591891
## 8660          Low                          1.237085787
## 8661          Low                          0.532061440
## 8662         High                          1.504791812
## 8663          Low                          0.547676922
## 8664         High                          0.400447820
## 8665          Low                          0.387139661
## 8666          Low                          0.324606222
## 8667          Low                          1.125541924
## 8668          Low                          0.532061440
## 8669         High                          0.547676922
## 8670          Low                          0.114988832
## 8671         High                          0.324606222
## 8672          Low                          0.748450500
## 8673         High                          0.369218475
## 8674         High                          0.532061440
## 8675          Low                          0.761835548
## 8676          Low                          0.440676432
## 8677          Low                          1.237085787
## 8678         High                          0.532061440
## 8679         High                          0.532061440
## 8680          Low                          0.161874471
## 8681          Low                          0.213086196
## 8682          Low                          0.233233927
## 8683          Low                          0.880146538
## 8684          Low                          1.237085787
## 8685          Low                          1.323161916
## 8686          Low                          1.528986540
## 8687         High                          0.636909030
## 8688          Low                          0.166333697
## 8689         High                          0.011517406
## 8690          Low                          0.969380998
## 8691         High                          1.080924451
## 8692          Low                          0.221114793
## 8693          Low                          0.425792534
## 8694          Low                          0.751837762
## 8695         High                          1.437511361
## 8696          Low                          0.057122956
## 8697         High                          0.978527540
## 8698          Low                          0.233916320
## 8699         High                          0.530665040
## 8700          Low                          0.804779325
## 8701          Low                          1.254563954
## 8702         High                          1.551861953
## 8703          Low                          0.706179653
## 8704         High                          0.843171276
## 8705          Low                          0.344757459
## 8706         High                          0.397739409
## 8707         High                          0.523787078
## 8708         High                          0.057122956
## 8709         High                          0.456291539
## 8710         High                          0.592292826
## 8711          Low                          0.547676922
## 8712         High                          0.101621246
## 8713          Low                          1.149347641
## 8714          Low                          1.270427903
## 8715          Low                          0.659217226
## 8716         High                          0.594523630
## 8717         High                          1.906352026
## 8718         High                          0.770758920
## 8719          Low                          0.101621246
## 8720          Low                          0.456291539
## 8721          Low                          0.947072354
## 8722          Low                          0.237618582
## 8723          Low                          1.237085787
## 8724         High                          0.127321591
## 8725          Low                          0.826606030
## 8726         High                          0.503061397
## 8727          Low                          0.659217226
## 8728         High                          0.547676922
## 8729          Low                          0.101621246
## 8730         High                          0.804779325
## 8731          Low                          0.456291539
## 8732         High                          0.576677222
## 8733          Low                          0.011517406
## 8734          Low                          0.804779325
## 8735          Low                          0.804779325
## 8736          Low                          0.101621246
## 8737         High                          0.144039162
## 8738          Low                          0.804779325
## 8739         High                          0.804779325
## 8740         High                          0.804779325
## 8741          Low                          0.659217226
## 8742          Low                          0.804779325
## 8743          Low                          0.804779325
## 8744          Low                          0.804779325
## 8745          Low                          0.558830866
## 8746         High                          0.547676922
## 8747         High                          0.478598972
## 8748         High                          0.121749933
## 8749          Low                          1.013998335
## 8750          Low                          0.751281732
## 8751          Low                          0.992056515
## 8752          Low                          0.799759917
## 8753         High                          0.074980885
## 8754          Low                          1.254563954
## 8755          Low                          1.551861953
## 8756          Low                          0.353377675
## 8757         High                          0.168487485
## 8758          Low                          1.666222242
## 8759         High                          0.576677222
## 8760         High                          0.576677222
## 8761          Low                          0.576677222
## 8762          Low                          0.659217226
## 8763          Low                          0.659217226
## 8764          Low                          0.567829952
## 8765          Low                          0.456291539
## 8766          Low                          0.594523630
## 8767         High                          1.013998335
## 8768          Low                          0.980252009
## 8769          Low                          1.237085787
## 8770          Low                          0.770758920
## 8771          Low                          0.011517406
## 8772         High                          0.751281732
## 8773         High                          0.992056515
## 8774         High                          0.770758920
## 8775         High                          0.121749933
## 8776          Low                          1.013998335
## 8777         High                          0.057122956
## 8778          Low                          1.906352026
## 8779          Low                          0.659217226
## 8780         High                          0.532061440
## 8781          Low                          0.121749933
## 8782         High                          0.380371751
## 8783          Low                          0.121749933
## 8784          Low                          2.017896684
## 8785          Low                          0.277841261
## 8786         High                          0.723987197
## 8787          Low                          0.121749933
## 8788          Low                          1.013998335
## 8789          Low                          0.703699924
## 8790          Low                          0.086776370
## 8791          Low                          0.947072354
## 8792         High                          0.636909030
## 8793         High                          0.166333697
## 8794          Low                          0.804779325
## 8795          Low                          1.094537182
## 8796         High                          0.681525475
## 8797         High                          0.146192553
## 8798         High                          0.770758920
## 8799         High                          0.547676922
## 8800          Low                          0.947072354
## 8801         High                          1.483123232
## 8802          Low                          0.947072354
## 8803          Low                          0.804779325
## 8804          Low                          0.177482330
## 8805          Low                          0.833222669
## 8806          Low                          0.751837762
## 8807         High                          1.237085787
## 8808          Low                          0.553030812
## 8809          Low                          0.776336031
## 8810          Low                          0.659217226
## 8811          Low                          0.213086196
## 8812         High                          0.804779325
## 8813         High                          0.804779325
## 8814         High                          0.804779325
## 8815         High                          0.679370564
## 8816          Low                          0.523787078
## 8817          Low                          0.751837762
## 8818         High                          0.412211246
## 8819         High                          0.633694020
## 8820          Low                          0.523787078
## 8821         High                          0.751837762
## 8822          Low                          0.804779325
## 8823         High                          0.804779325
## 8824          Low                          0.346448217
## 8825         High                          0.751186041
## 8826         High                          0.804779325
## 8827          Low                          0.318692728
## 8828          Low                          0.708127134
## 8829          Low                          0.804779325
## 8830         High                          0.804779325
## 8831          Low                          0.213086196
## 8832         High                          1.666222242
## 8833         High                          0.545522051
## 8834          Low                          0.880146538
## 8835          Low                          1.326321028
## 8836          Low                          0.567829952
## 8837          Low                          0.683756303
## 8838          Low                          0.947072354
## 8839         High                          0.245185593
## 8840          Low                          0.252328913
## 8841          Low                          1.390772109
## 8842          Low                          0.804779325
## 8843          Low                          0.804779325
## 8844          Low                          0.804779325
## 8845          Low                          0.233233927
## 8846          Low                          0.790912444
## 8847          Low                          0.679370564
## 8848          Low                          0.168487485
## 8849          Low                          0.547676922
## 8850          Low                          0.168487485
## 8851         High                          0.770758920
## 8852         High                          1.237085787
## 8853          Low                          0.939512494
## 8854          Low                          0.770758920
## 8855          Low                          1.700533043
## 8856          Low                          0.947072354
## 8857         High                          0.308992328
## 8858          Low                          0.011517406
## 8859          Low                          0.344757459
## 8860          Low                          0.419854874
## 8861         High                          1.163117812
## 8862         High                          0.712757106
## 8863          Low                          0.947072354
## 8864          Low                          0.354395009
## 8865          Low                          0.523214244
## 8866          Low                          0.101621246
## 8867          Low                          0.636909030
## 8868          Low                          0.324606222
## 8869          Low                          0.173539776
## 8870          Low                          0.410102478
## 8871          Low                          0.947072354
## 8872          Low                          0.659217226
## 8873         High                          0.456291539
## 8874          Low                          0.659217226
## 8875         High                          0.456291539
## 8876         High                          0.188555773
## 8877         High                          0.458446363
## 8878          Low                          0.558830866
## 8879          Low                          0.659217226
## 8880          Low                          0.412211246
## 8881          Low                          0.870986402
## 8882          Low                          0.257691601
## 8883         High                          0.134008194
## 8884         High                          0.659217226
## 8885          Low                          0.532061440
## 8886          Low                          1.236659702
## 8887          Low                          0.633694020
## 8888          Low                          1.114041216
## 8889         High                          0.547676922
## 8890          Low                          0.767635739
## 8891          Low                          0.400447820
## 8892          Low                          0.387139661
## 8893         High                          1.254563954
## 8894          Low                          0.799759917
## 8895         High                          0.074980885
## 8896         High                          0.799759917
## 8897         High                          0.074980885
## 8898          Low                          1.237085787
## 8899          Low                          0.523787078
## 8900          Low                          1.114041216
## 8901          Low                          0.947072354
## 8902          Low                          0.772989764
## 8903         High                          0.576677222
## 8904          Low                          1.817116340
## 8905          Low                          1.817116340
## 8906          Low                          0.947072354
## 8907         High                          0.576677222
## 8908         High                          0.213086196
## 8909          Low                          0.213086196
## 8910          Low                          0.532061440
## 8911          Low                          0.770758920
## 8912          Low                          1.237085787
## 8913          Low                          0.523787078
## 8914          Low                          0.413332649
## 8915         High                          1.281703393
## 8916          Low                          0.121749933
## 8917          Low                          1.125541924
## 8918          Low                          0.547676922
## 8919          Low                          0.674232874
## 8920          Low                          1.220267380
## 8921         High                          0.141809959
## 8922          Low                          1.147850677
## 8923         High                          0.947072354
## 8924          Low                          0.947072354
## 8925         High                          0.947072354
## 8926          Low                          0.547676922
## 8927          Low                          0.121749933
## 8928          Low                          0.567829952
## 8929         High                          0.121749933
## 8930          Low                          1.683262890
## 8931         High                          1.734844505
## 8932          Low                          0.542090092
## 8933          Low                          1.114041216
## 8934          Low                          1.025966504
## 8935          Low                          0.547676922
## 8936          Low                          0.751281732
## 8937         High                          0.522580636
## 8938          Low                          0.262228279
## 8939         High                          0.121749933
## 8940          Low                          0.687325628
## 8941         High                          0.085587498
## 8942          Low                          0.300146122
## 8943          Low                          0.476841938
## 8944          Low                          0.317989863
## 8945          Low                          0.257691601
## 8946          Low                          0.134008194
## 8947         High                          0.525369106
## 8948          Low                          0.433984270
## 8949         High                          0.308992328
## 8950         High                          0.121749933
## 8951          Low                          1.794807424
## 8952          Low                          0.683296610
## 8953          Low                          0.121749933
## 8954          Low                          0.122231237
## 8955         High                          1.843887042
## 8956         High                          0.300146122
## 8957         High                          0.576677222
## 8958          Low                          1.874974490
## 8959         High                          2.017896684
## 8960         High                          0.659217226
## 8961         High                          1.450037895
## 8962         High                          0.500906547
## 8963         High                          0.519677656
## 8964          Low                          0.992056515
## 8965         High                          0.166257822
## 8966         High                          0.337619526
## 8967         High                          0.923133997
## 8968         High                          0.239936330
## 8969          Low                          0.519677656
## 8970          Low                          0.324606222
## 8971         High                          0.166257822
## 8972          Low                          0.337619526
## 8973         High                          0.005695146
## 8974         High                          1.322087901
## 8975         High                          0.252328913
## 8976          Low                          0.519677656
## 8977          Low                          0.233916320
## 8978          Low                          0.530665040
## 8979         High                          0.523787078
## 8980          Low                          0.592292826
## 8981          Low                          0.391525097
## 8982          Low                          1.208839252
## 8983          Low                          1.208839252
## 8984          Low                          0.720250751
## 8985         High                          0.599431401
## 8986         High                          0.703699924
## 8987         High                          0.086776370
## 8988         High                          0.522580636
## 8989         High                          0.262228279
## 8990          Low                          1.644080285
## 8991          Low                          0.103924667
## 8992          Low                          1.359757922
## 8993          Low                          1.606920840
## 8994          Low                          1.437511361
## 8995         High                          1.666222242
## 8996          Low                          0.523787078
## 8997          Low                          0.751837762
## 8998          Low                          0.412211246
## 8999          Low                          0.633694020
## 9000          Low                          0.523787078
## 9001          Low                          0.751837762
## 9002          Low                          1.437511361
## 9003         High                          1.666222242
## 9004         High                          0.519677656
## 9005         High                          0.870986402
## 9006         High                          0.779682298
## 9007         High                          0.980252009
## 9008          Low                          1.323161916
## 9009         High                          0.992056515
## 9010         High                          1.483208981
## 9011         High                          0.980252009
## 9012          Low                          1.323161916
## 9013          Low                          0.870986402
## 9014          Low                          1.236659702
## 9015         High                          1.303049957
## 9016          Low                          1.013998335
## 9017          Low                          0.503137311
## 9018          Low                          0.926994590
## 9019         High                          0.152880601
## 9020          Low                          0.567829952
## 9021         High                          1.058615733
## 9022          Low                          1.058615733
## 9023         High                          0.681525475
## 9024          Low                          0.074905177
## 9025          Low                          1.114041216
## 9026          Low                          1.606920840
## 9027         High                          0.870986402
## 9028          Low                          1.359757922
## 9029         High                          0.328175144
## 9030          Low                          0.418070310
## 9031          Low                          0.337619526
## 9032          Low                          0.599431401
## 9033          Low                          0.324606222
## 9034          Low                          0.469600068
## 9035         High                          0.018875114
## 9036         High                          0.235388300
## 9037          Low                          0.144039162
## 9038          Low                          0.337989737
## 9039         High                          0.547676922
## 9040          Low                          0.344757459
## 9041         High                          0.074980885
## 9042          Low                          0.458522276
## 9043          Low                          0.695356615
## 9044          Low                          0.136014292
## 9045         High                          0.252328913
## 9046          Low                          0.412211246
## 9047         High                          0.391525097
## 9048          Low                          1.359757922
## 9049         High                          1.483208981
## 9050          Low                          0.547676922
## 9051         High                          0.101621246
## 9052          Low                          0.659217226
## 9053          Low                          0.706979248
## 9054          Low                          0.391525097
## 9055         High                          0.870986402
## 9056         High                          1.114041216
## 9057         High                          0.739527142
## 9058          Low                          0.329143284
## 9059         High                          0.547676922
## 9060          Low                          0.984997059
## 9061          Low                          0.547676922
## 9062          Low                          0.984997059
## 9063          Low                          0.168487485
## 9064          Low                          0.220967668
## 9065         High                          0.224237076
## 9066          Low                          0.166257822
## 9067          Low                          0.337619526
## 9068          Low                          0.166257822
## 9069          Low                          0.337619526
## 9070         High                          0.599431401
## 9071          Low                          0.694910449
## 9072          Low                          0.085587498
## 9073          Low                          0.522580636
## 9074          Low                          0.262228279
## 9075          Low                          0.659217226
## 9076          Low                          0.779682298
## 9077          Low                          0.779758215
## 9078         High                          1.147850677
## 9079          Low                          0.779682298
## 9080          Low                          0.776336031
## 9081          Low                          0.238733727
## 9082          Low                          0.142924554
## 9083          Low                          0.547676922
## 9084          Low                          0.166257822
## 9085          Low                          0.337619526
## 9086          Low                          0.456291539
## 9087          Low                          0.679370564
## 9088          Low                          0.213086196
## 9089          Low                          0.799759917
## 9090         High                          0.074980885
## 9091         High                          0.233916320
## 9092          Low                          0.530665040
## 9093          Low                          0.141809959
## 9094          Low                          0.547676922
## 9095          Low                          0.112760607
## 9096          Low                          1.114041216
## 9097          Low                          1.483208981
## 9098          Low                          0.567829952
## 9099          Low                          1.013998335
## 9100          Low                          0.085587498
## 9101         High                          0.547676922
## 9102          Low                          0.857837975
## 9103          Low                          1.192468214
## 9104         High                          0.458446363
## 9105         High                          0.525369106
## 9106         High                          0.144039162
## 9107          Low                          0.770758920
## 9108          Low                          0.770758920
## 9109         High                          0.770758920
## 9110          Low                          0.121749933
## 9111         High                          0.813220926
## 9112          Low                          0.770758920
## 9113          Low                          0.122231237
## 9114          Low                          0.121749933
## 9115         High                          1.794807424
## 9116         High                          0.469600068
## 9117          Low                          0.018875114
## 9118          Low                          0.011517406
## 9119          Low                          0.121749933
## 9120          Low                          0.659217226
## 9121         High                          0.770758920
## 9122         High                          0.659217226
## 9123          Low                          1.237085787
## 9124          Low                          0.770758920
## 9125          Low                          0.633694020
## 9126          Low                          0.324606222
## 9127          Low                          0.324606222
## 9128          Low                          0.324606222
## 9129          Low                          0.902455122
## 9130          Low                          0.121749933
## 9131          Low                          0.013716070
## 9132          Low                          0.011517406
## 9133          Low                          0.567829952
## 9134          Low                          0.464471464
## 9135          Low                          0.834117888
## 9136         High                          0.324606222
## 9137          Low                          1.140252944
## 9138         High                          1.208839252
## 9139          Low                          0.679370564
## 9140          Low                          0.626187204
## 9141          Low                          0.902455122
## 9142          Low                          0.866016626
## 9143          Low                          0.079355292
## 9144          Low                          0.660954690
## 9145         High                          1.906352026
## 9146         High                          0.289685283
## 9147          Low                          1.057155302
## 9148         High                          0.612446000
## 9149          Low                          0.659217226
## 9150          Low                          0.213086196
## 9151          Low                          0.425628142
## 9152          Low                          1.460174084
## 9153          Low                          1.666222242
## 9154          Low                          1.048814874
## 9155         High                          1.207983865
## 9156          Low                          0.410102478
## 9157          Low                          0.425792534
## 9158         High                          0.121749933
## 9159          Low                          0.464471464
## 9160          Low                          1.340943334
## 9161          Low                          0.679370564
## 9162         High                          1.906352026
## 9163          Low                          1.689099753
## 9164         High                          0.790934753
## 9165          Low                          1.144823643
## 9166         High                          1.003108536
## 9167          Low                          0.324606222
## 9168          Low                          0.659217226
## 9169          Low                          0.659217226
## 9170          Low                          0.567829952
## 9171         High                          0.279088570
## 9172          Low                          0.934554575
## 9173          Low                          1.281703393
## 9174         High                          1.906352026
## 9175          Low                          0.344757459
## 9176          Low                          0.121749933
## 9177          Low                          0.121749933
## 9178         High                          0.121749933
## 9179          Low                          1.817116340
## 9180          Low                          1.495868265
## 9181          Low                          0.121749933
## 9182          Low                          0.512060381
## 9183          Low                          1.332064464
## 9184         High                          0.324606222
## 9185          Low                          0.523787078
## 9186          Low                          1.906352026
## 9187          Low                          0.436139076
## 9188          Low                          0.324606222
## 9189         High                          0.402075004
## 9190         High                          1.894976082
## 9191          Low                          1.237085787
## 9192         High                          1.013998335
## 9193          Low                          0.121749933
## 9194          Low                          0.121749933
## 9195          Low                          0.662012766
## 9196          Low                          1.113040868
## 9197          Low                          1.066676596
## 9198          Low                          0.799667338
## 9199         High                          1.125541924
## 9200          Low                          0.567829952
## 9201         High                          0.790912444
## 9202          Low                          0.392367745
## 9203          Low                          1.042638640
## 9204          Low                          0.923576245
## 9205         High                          0.456291539
## 9206          Low                          0.436139076
## 9207          Low                          0.324606222
## 9208          Low                          1.374430738
## 9209          Low                          0.805675331
## 9210          Low                          0.919111126
## 9211         High                          0.500088622
## 9212         High                          0.054978670
## 9213         High                          0.344757459
## 9214          Low                          0.344757459
## 9215         High                          1.013998335
## 9216         High                          1.237085787
## 9217          Low                          1.002763071
## 9218          Low                          1.380457738
## 9219          Low                          1.224663469
## 9220          Low                          0.101621246
## 9221         High                          0.799667338
## 9222          Low                          1.138902736
## 9223          Low                          0.567829952
## 9224          Low                          0.726142117
## 9225          Low                          0.770758920
## 9226          Low                          0.732554693
## 9227         High                          0.567829952
## 9228          Low                          1.331675146
## 9229          Low                          0.121749933
## 9230          Low                          1.259544286
## 9231          Low                          0.688381124
## 9232          Low                          0.779861679
## 9233         High                          1.303064420
## 9234          Low                          0.546087377
## 9235         High                          0.476476026
## 9236         High                          0.377497591
## 9237          Low                          0.433614273
## 9238         High                          0.213086196
## 9239         High                          1.367378827
## 9240          Low                          0.013443446
## 9241          Low                          0.293265715
## 9242          Low                          2.018185221
## 9243         High                          0.411784467
## 9244          Low                          0.790912444
## 9245          Low                          0.843750089
## 9246          Low                          0.348670075
## 9247         High                          0.011517406
## 9248          Low                          0.277841261
## 9249          Low                          1.105181922
## 9250          Low                          0.344757459
## 9251          Low                          0.888151840
## 9252          Low                          0.573109480
## 9253          Low                          1.598600952
## 9254          Low                          0.983555452
## 9255          Low                          0.322451558
## 9256          Low                          0.325429114
## 9257          Low                          0.567829952
## 9258          Low                          0.391177593
## 9259          Low                          1.415556376
## 9260          Low                          0.213086196
## 9261         High                          0.772393795
## 9262          Low                          0.101621246
## 9263          Low                          0.321894920
## 9264         High                          0.101621246
## 9265          Low                          0.688381124
## 9266          Low                          0.735141382
## 9267          Low                          0.922763695
## 9268          Low                          0.121749933
## 9269         High                          0.146192553
## 9270          Low                          1.793203932
## 9271         High                          1.125541924
## 9272          Low                          1.058615733
## 9273          Low                          0.121749933
## 9274          Low                          0.762808758
## 9275          Low                          0.456291539
## 9276          Low                          0.779861679
## 9277          Low                          0.011517406
## 9278          Low                          0.746295576
## 9279          Low                          1.018619695
## 9280          Low                          2.587279788
## 9281          Low                          0.141176807
## 9282          Low                          0.274495590
## 9283          Low                          1.826892510
## 9284          Low                          1.042638640
## 9285         High                          0.617636635
## 9286          Low                          0.587590792
## 9287          Low                          0.659217226
## 9288         High                          1.841473985
## 9289         High                          0.284399730
## 9290          Low                          0.659217226
## 9291          Low                          1.865214370
## 9292          Low                          0.436139076
## 9293          Low                          1.279279552
## 9294          Low                          0.922763695
## 9295          Low                          1.237085787
## 9296          Low                          1.517299497
## 9297          Low                          0.411677190
## 9298          Low                          1.817168567
## 9299          Low                          0.505985680
## 9300          Low                          0.545522051
## 9301          Low                          0.344757459
## 9302          Low                          1.090732305
## 9303          Low                          1.574339203
## 9304          Low                          0.456291539
## 9305         High                          1.278415796
## 9306         High                          0.363805542
## 9307          Low                          1.502666144
## 9308         High                          0.155366415
## 9309          Low                          0.546087377
## 9310          Low                          1.103233182
## 9311         High                          1.694636426
## 9312          Low                          0.546087377
## 9313         High                          1.350640328
## 9314          Low                          0.166333697
## 9315          Low                          1.096849819
## 9316          Low                          1.187121418
## 9317          Low                          1.841473985
## 9318          Low                          0.324606222
## 9319          Low                          1.906352026
## 9320          Low                          3.205427988
## 9321          Low                          1.237085787
## 9322          Low                          1.525832527
## 9323          Low                          1.469660100
## 9324         High                          1.041884139
## 9325          Low                          0.505985680
## 9326          Low                          1.898833009
## 9327          Low                          0.101621246
## 9328          Low                          0.770758920
## 9329          Low                          0.324606222
## 9330         High                          0.294154625
## 9331         High                          1.173211108
## 9332          Low                          0.779861679
## 9333          Low                          0.701678858
## 9334          Low                          1.950969883
## 9335          Low                          1.013998335
## 9336          Low                          0.547676922
## 9337         High                          1.374719636
## 9338          Low                          1.138902736
## 9339          Low                          1.541119267
## 9340          Low                          1.390142559
## 9341          Low                          0.457557960
## 9342         High                          1.041884139
## 9343          Low                          0.213086196
## 9344          Low                          0.679370564
## 9345          Low                          0.969380998
## 9346          Low                          0.723987197
## 9347         High                          1.419193993
## 9348          Low                          0.279995814
## 9349         High                          0.733950046
## 9350          Low                          0.565523243
## 9351         High                          1.398236756
## 9352         High                          0.887085730
## 9353         High                          1.768568648
## 9354          Low                          0.011517406
## 9355          Low                          0.121749933
colnames(d.all)[2] <- "dij"
d.all
##      Salary_Level         dij
## 1             Low 0.016379571
## 2            High 0.563893143
## 3             Low 0.840522816
## 4            High 0.519275673
## 5             Low 0.417719503
## 6             Low 0.840522816
## 7             Low 2.527081871
## 8            High 1.054688515
## 9             Low 0.396578297
## 10           High 0.707733092
## 11           High 1.779730268
## 12           High 0.774659698
## 13            Low 0.791443245
## 14            Low 1.933662349
## 15            Low 0.100959677
## 16            Low 0.428873779
## 17            Low 0.018582705
## 18           High 0.038554888
## 19           High 1.351397720
## 20            Low 0.239254052
## 21            Low 0.396578297
## 22           High 1.358090413
## 23            Low 0.818213916
## 24           High 0.012004112
## 25            Low 0.428873779
## 26           High 0.018582705
## 27           High 0.154042294
## 28           High 0.956254212
## 29            Low 2.148944214
## 30           High 0.044171570
## 31           High 1.779730268
## 32           High 0.944207391
## 33            Low 2.248219284
## 34           High 0.685424244
## 35            Low 0.273882930
## 36           High 0.551571446
## 37            Low 0.353381925
## 38            Low 0.060828063
## 39            Low 1.093729176
## 40           High 0.278292632
## 41            Low 0.484645323
## 42           High 0.853908158
## 43            Low 0.819277477
## 44           High 0.606279818
## 45            Low 0.742363712
## 46           High 0.819277477
## 47            Low 0.819277477
## 48           High 1.355859516
## 49           High 0.324024217
## 50           High 0.707733092
## 51            Low 0.891833308
## 52           High 0.060828063
## 53            Low 0.596188979
## 54            Low 0.462336676
## 55            Low 0.018582705
## 56           High 0.484645323
## 57           High 0.742363712
## 58           High 0.150027324
## 59           High 0.060828063
## 60            Low 0.630819500
## 61            Low 0.296190916
## 62            Low 1.478558905
## 63            Low 0.742363712
## 64            Low 0.239254052
## 65            Low 0.519275673
## 66           High 0.886204195
## 67           High 0.016379571
## 68            Low 0.573880202
## 69            Low 0.407732548
## 70           High 0.774659698
## 71           High 0.742363712
## 72            Low 0.073139478
## 73            Low 0.407732548
## 74           High 0.774659698
## 75           High 0.328485864
## 76           High 0.908513112
## 77            Low 0.863895283
## 78           High 0.819277477
## 79            Low 0.138562564
## 80           High 0.519275673
## 81           High 0.886204195
## 82           High 2.310684499
## 83            Low 0.222240739
## 84           High 0.742363712
## 85           High 0.239254052
## 86           High 0.261561731
## 87            Low 0.038554888
## 88           High 0.819277477
## 89           High 0.930822035
## 90           High 3.960102646
## 91            Low 0.972145437
## 92           High 0.849446377
## 93           High 1.590103835
## 94           High 0.350794157
## 95            Low 0.206960310
## 96           High 0.202498906
## 97            Low 0.339639998
## 98           High 0.462336676
## 99            Low 0.742363712
## 100           Low 0.596188979
## 101           Low 0.742363712
## 102          High 0.038554888
## 103           Low 0.774659698
## 104          High 0.742363712
## 105           Low 0.742363712
## 106          High 0.742363712
## 107           Low 0.742363712
## 108           Low 0.814815698
## 109           Low 0.435566351
## 110           Low 0.015661416
## 111           Low 0.015661416
## 112          High 0.462336676
## 113           Low 2.669859530
## 114          High 0.402103537
## 115          High 0.015661416
## 116          High 0.484645323
## 117           Low 0.819277477
## 118          High 0.440028067
## 119          High 0.038554888
## 120          High 0.077598322
## 121           Low 0.462336676
## 122          High 0.138562564
## 123          High 2.393227824
## 124           Low 0.117738011
## 125           Low 1.768575770
## 126          High 0.440028067
## 127          High 0.296190916
## 128          High 0.819277477
## 129          High 0.511415743
## 130          High 0.141105303
## 131          High 2.950953070
## 132          High 0.430041091
## 133          High 0.630819500
## 134          High 1.768575770
## 135          High 0.440028067
## 136           Low 0.187947597
## 137           Low 0.791443245
## 138          High 0.630819500
## 139          High 1.188542243
## 140          High 0.519275673
## 141           Low 0.819277477
## 142          High 0.930822035
## 143           Low 0.730041951
## 144           Low 1.188542243
## 145           Low 0.657538199
## 146           Low 0.734555608
## 147          High 0.819277477
## 148           Low 0.150027324
## 149          High 1.358090413
## 150          High 1.411631960
## 151          High 0.073139478
## 152          High 0.373102537
## 153          High 0.354192291
## 154          High 0.399872687
## 155          High 0.363115639
## 156           Low 0.296190916
## 157          High 0.596188979
## 158          High 0.697379429
## 159          High 0.038554888
## 160           Low 0.819277477
## 161           Low 0.596188979
## 162           Low 0.930822035
## 163           Low 1.500867889
## 164           Low 0.618497773
## 165           Low 0.373102537
## 166           Low 0.395410989
## 167           Low 0.462336676
## 168           Low 0.073139478
## 169           Low 0.484645323
## 170           Low 2.652012322
## 171           Low 0.895127761
## 172           Low 0.819277477
## 173           Low 1.969356749
## 174          High 0.899589545
## 175           Low 0.485812640
## 176          High 0.484645323
## 177           Low 1.605720127
## 178           Low 0.317331756
## 179           Low 0.819277477
## 180          High 0.038554888
## 181           Low 0.819277477
## 182          High 0.462336676
## 183          High 0.256036671
## 184          High 0.462336676
## 185           Low 0.563893143
## 186          High 0.563893143
## 187          High 0.462336676
## 188          High 0.437797209
## 189           Low 0.462336676
## 190          High 0.373102537
## 191          High 0.930822035
## 192           Low 0.563893143
## 193           Low 0.373102537
## 194          High 0.930822035
## 195           Low 2.051900052
## 196          High 0.611805133
## 197          High 0.891833308
## 198          High 0.794737695
## 199           Low 1.351397720
## 200           Low 0.028601871
## 201           Low 0.819277477
## 202          High 0.596188979
## 203           Low 1.991665749
## 204          High 0.283869622
## 205           Low 1.634721814
## 206          High 1.411631960
## 207           Low 0.519275673
## 208           Low 0.028601871
## 209           Low 1.143924323
## 210           Low 0.239254052
## 211          High 0.396578297
## 212           Low 0.563893143
## 213          High 0.073139478
## 214           Low 1.668185300
## 215           Low 1.166233282
## 216           Low 0.629652176
## 217           Low 3.232938994
## 218           Low 1.806947242
## 219           Low 0.150027324
## 220           Low 0.837176480
## 221          High 0.462336676
## 222           Low 0.416655959
## 223          High 0.742363712
## 224           Low 0.596188979
## 225          High 0.965452758
## 226           Low 0.015720158
## 227          High 1.233160172
## 228          High 0.742363712
## 229          High 1.590103835
## 230           Low 0.350794157
## 231           Low 0.117738011
## 232           Low 0.194639615
## 233          High 0.519275673
## 234           Low 0.596188979
## 235          High 0.819277477
## 236          High 1.634721814
## 237           Low 0.430041091
## 238          High 0.150027324
## 239           Low 0.296190916
## 240          High 0.563893143
## 241           Low 1.777499368
## 242           Low 0.299485245
## 243           Low 0.471260131
## 244           Low 0.528199159
## 245           Low 0.361948337
## 246          High 0.563893143
## 247           Low 0.373102537
## 248           Low 0.596188979
## 249           Low 0.029660707
## 250          High 0.140041938
## 251           Low 0.640806583
## 252          High 0.373102537
## 253          High 0.791443245
## 254          High 0.863895283
## 255          High 0.396578297
## 256          High 0.202498906
## 257          High 0.553802321
## 258          High 0.128889754
## 259           Low 0.395410989
## 260          High 0.666513615
## 261           Low 0.944207391
## 262           Low 0.819277477
## 263           Low 0.462336676
## 264          High 0.462336676
## 265          High 3.336898999
## 266          High 0.172333097
## 267           Low 2.446769441
## 268          High 0.605112494
## 269          High 0.563893143
## 270           Low 0.396578297
## 271           Low 1.601258329
## 272          High 0.887371525
## 273           Low 1.350282272
## 274          High 0.596188979
## 275           Low 0.563893143
## 276          High 0.768139676
## 277           Low 0.720054847
## 278          High 3.046881823
## 279          High 0.045233131
## 280           Low 1.411631960
## 281           Low 0.296190916
## 282          High 0.018582705
## 283           Low 0.340807296
## 284           Low 0.886204195
## 285          High 0.359159790
## 286           Low 0.038554888
## 287          High 2.527081871
## 288           Low 1.634721814
## 289          High 0.853908158
## 290          High 0.373102537
## 291          High 0.396578297
## 292           Low 2.466847548
## 293          High 0.256036671
## 294          High 1.188542243
## 295           Low 0.073139478
## 296          High 0.038554888
## 297           Low 0.791443245
## 298           Low 3.062498132
## 299           Low 0.618497773
## 300          High 0.467965718
## 301           Low 0.791443245
## 302          High 0.296190916
## 303          High 0.819277477
## 304          High 1.054688515
## 305          High 0.474658311
## 306           Low 0.006744347
## 307           Low 0.340807296
## 308          High 0.886204195
## 309           Low 0.819277477
## 310           Low 0.073139478
## 311           Low 0.484645323
## 312           Low 2.080901755
## 313           Low 0.073139478
## 314          High 0.563893143
## 315          High 0.073139478
## 316          High 1.315703361
## 317          High 0.563893143
## 318          High 0.563893143
## 319          High 1.991665749
## 320           Low 0.283869622
## 321          High 0.916544324
## 322           Low 2.527081871
## 323           Low 0.184653486
## 324           Low 0.073139478
## 325          High 0.396578297
## 326          High 1.102875846
## 327          High 0.609395783
## 328           Low 0.930822035
## 329           Low 0.629786029
## 330           Low 0.116570996
## 331           Low 2.527081871
## 332           Low 1.634721814
## 333          High 1.590103835
## 334           Low 0.350794157
## 335          High 0.296190916
## 336           Low 0.819277477
## 337          High 0.860600831
## 338          High 0.238190555
## 339          High 0.418886813
## 340          High 0.108817025
## 341          High 1.315703361
## 342           Low 0.063056775
## 343          High 1.969356749
## 344          High 0.462336676
## 345          High 0.993338925
## 346          High 2.527081871
## 347          High 0.530430032
## 348          High 0.631883057
## 349          High 2.652012322
## 350           Low 0.895127761
## 351          High 0.141105303
## 352          High 1.605720127
## 353          High 0.317331756
## 354           Low 0.683193359
## 355          High 0.742363712
## 356           Low 0.596188979
## 357          High 0.038554888
## 358           Low 1.969356749
## 359          High 0.373102537
## 360           Low 0.350794157
## 361          High 0.663167290
## 362           Low 0.581740156
## 363          High 0.407732548
## 364           Low 0.462336676
## 365          High 1.002262500
## 366           Low 0.053080839
## 367           Low 0.596188979
## 368           Low 0.683193359
## 369          High 1.788096141
## 370           Low 0.627421295
## 371          High 0.860600831
## 372          High 0.238190555
## 373          High 0.573880202
## 374           Low 0.462336676
## 375          High 0.819277477
## 376           Low 1.014532417
## 377          High 0.189062930
## 378           Low 0.073139478
## 379           Low 0.596188979
## 380           Low 0.653128318
## 381          High 0.060828063
## 382          High 0.462336676
## 383          High 0.038554888
## 384          High 0.965452758
## 385          High 0.206960310
## 386           Low 0.060828063
## 387          High 0.471260131
## 388           Low 0.016379571
## 389          High 1.350282272
## 390          High 0.596188979
## 391           Low 0.395410989
## 392           Low 0.202498906
## 393           Low 0.553802321
## 394          High 0.853908158
## 395          High 0.462336676
## 396          High 0.428873779
## 397           Low 0.596188979
## 398          High 0.930822035
## 399          High 0.853908158
## 400          High 0.462336676
## 401           Low 2.299529996
## 402          High 0.612972456
## 403          High 0.428873779
## 404          High 0.742363712
## 405           Low 0.908513112
## 406          High 0.430041091
## 407          High 4.088712824
## 408          High 0.296190916
## 409           Low 0.261561731
## 410          High 0.596188979
## 411           Low 1.188542243
## 412           Low 0.150027324
## 413           Low 0.596188979
## 414          High 1.396015675
## 415           Low 0.834893706
## 416          High 0.791443245
## 417          High 0.073139478
## 418          High 0.596188979
## 419           Low 1.369244902
## 420           Low 0.910744005
## 421           Low 0.368640855
## 422          High 0.462336676
## 423           Low 0.596188979
## 424          High 0.889602416
## 425           Low 1.358090413
## 426           Low 0.791443245
## 427           Low 1.634721814
## 428           Low 0.791443245
## 429           Low 0.685424244
## 430          High 0.296190916
## 431           Low 2.705553947
## 432          High 0.082057488
## 433           Low 0.707733092
## 434          High 0.596188979
## 435           Low 0.619665097
## 436          High 1.634721814
## 437           Low 0.144451038
## 438          High 0.581740156
## 439           Low 0.651960993
## 440           Low 0.350794157
## 441           Low 0.774659698
## 442          High 0.822675695
## 443           Low 0.462336676
## 444          High 3.274433759
## 445           Low 0.953130962
## 446          High 0.150027324
## 447          High 3.736230368
## 448           Low 0.782519691
## 449           Low 0.462336676
## 450          High 0.672038940
## 451          High 0.841586377
## 452          High 0.006744347
## 453           Low 0.150027324
## 454          High 0.016379571
## 455          High 0.375333379
## 456          High 0.504723134
## 457           Low 2.652012322
## 458          High 0.317331756
## 459           Low 0.144674088
## 460          High 0.563893143
## 461           Low 1.969356749
## 462          High 0.373102537
## 463           Low 0.856139049
## 464          High 0.563893143
## 465           Low 0.172333097
## 466           Low 0.953130962
## 467           Low 1.429479144
## 468          High 0.435566351
## 469          High 0.953130962
## 470           Low 0.965452758
## 471           Low 0.150027324
## 472          High 0.675385266
## 473           Low 0.819277477
## 474          High 1.355859516
## 475          High 0.324024217
## 476          High 0.707733092
## 477           Low 0.261561731
## 478          High 0.742363712
## 479          High 0.038554888
## 480          High 2.595124348
## 481           Low 0.348615206
## 482          High 0.332999397
## 483          High 0.256036671
## 484          High 0.563893143
## 485           Low 0.930822035
## 486          High 3.160657790
## 487           Low 0.421117667
## 488          High 0.043006550
## 489           Low 0.553802321
## 490          High 0.630819500
## 491           Low 0.376448800
## 492           Low 0.853908158
## 493           Low 0.150027324
## 494           Low 0.877280630
## 495           Low 0.860600831
## 496          High 0.238190555
## 497          High 0.596188979
## 498           Low 0.398809146
## 499           Low 0.519275673
## 500          High 1.634721814
## 501           Low 3.189659507
## 502           Low 0.125566483
## 503           Low 2.080901755
## 504          High 0.596188979
## 505           Low 0.261561731
## 506          High 0.819277477
## 507          High 0.930822035
## 508          High 1.991665749
## 509           Low 0.283869622
## 510           Low 0.018582705
## 511           Low 0.796016568
## 512          High 0.310639305
## 513           Low 0.421117667
## 514          High 1.712803285
## 515           Low 0.058874193
## 516          High 0.117738011
## 517          High 0.965452758
## 518          High 0.852740829
## 519          High 0.043006550
## 520          High 0.553802321
## 521           Low 2.750171967
## 522          High 0.430041091
## 523           Low 4.133330858
## 524          High 0.809290358
## 525          High 0.768139676
## 526          High 0.852740829
## 527           Low 1.043534042
## 528          High 0.908513112
## 529           Low 2.527081871
## 530          High 2.100734458
## 531           Low 0.012250224
## 532          High 2.640857818
## 533           Low 0.888435087
## 534          High 0.462336676
## 535           Low 0.819277477
## 536           Low 0.819277477
## 537           Low 0.373102537
## 538          High 0.358653963
## 539          High 1.911353350
## 540          High 0.730041951
## 541          High 0.822675695
## 542           Low 0.082057488
## 543           Low 2.633049664
## 544          High 0.596188979
## 545           Low 2.685475837
## 546           Low 0.670975382
## 547           Low 0.738965498
## 548           Low 1.411631960
## 549           Low 2.080901755
## 550           Low 0.150027324
## 551           Low 0.596188979
## 552           Low 0.150027324
## 553           Low 0.551571446
## 554          High 0.038554888
## 555          High 0.492676445
## 556           Low 2.080901755
## 557           Low 0.596188979
## 558          High 0.373102537
## 559           Low 1.496227620
## 560           Low 0.626975119
## 561           Low 1.632490915
## 562           Low 2.370918817
## 563           Low 0.038554888
## 564           Low 0.150027324
## 565           Low 0.484645323
## 566          High 1.188542243
## 567           Low 0.373102537
## 568           Low 0.791443245
## 569           Low 0.296190916
## 570          High 0.150027324
## 571          High 0.960957702
## 572          High 0.576528362
## 573          High 0.417719503
## 574           Low 1.255469140
## 575           Low 0.774659698
## 576          High 0.428873779
## 577           Low 2.118827060
## 578           Low 0.303946865
## 579           Low 1.605720127
## 580          High 0.860600831
## 581          High 0.238190555
## 582          High 0.663115407
## 583          High 0.474658311
## 584          High 1.605720127
## 585           Low 0.596188979
## 586          High 1.605720127
## 587           Low 0.033045867
## 588           Low 0.073890195
## 589           Low 0.073890195
## 590          High 2.504772862
## 591          High 0.006744347
## 592          High 0.396578297
## 593           Low 0.073139478
## 594           Low 0.368640855
## 595           Low 0.216946648
## 596          High 1.065842988
## 597           Low 2.248219284
## 598          High 0.417719503
## 599          High 0.707733092
## 600           Low 0.965452758
## 601           Low 0.150027324
## 602          High 0.752350820
## 603          High 1.500867889
## 604          High 0.296190916
## 605           Low 0.619665097
## 606          High 0.930822035
## 607          High 0.653128318
## 608           Low 0.060828063
## 609           Low 3.062498132
## 610           Low 0.618497773
## 611           Low 4.088712824
## 612           Low 0.296190916
## 613           Low 1.976049449
## 614          High 0.071972978
## 615           Low 0.965452758
## 616          High 0.206960310
## 617          High 1.478558905
## 618          High 0.327593534
## 619          High 1.054688515
## 620          High 0.194639615
## 621          High 0.506954003
## 622           Low 1.610181925
## 623           Low 0.237469448
## 624          High 2.727862957
## 625           Low 0.332999397
## 626           Low 0.930822035
## 627           Low 0.596188979
## 628          High 0.596188979
## 629           Low 0.707733092
## 630          High 0.358653963
## 631           Low 0.764672586
## 632          High 1.612412824
## 633          High 0.707733092
## 634           Low 1.351397720
## 635           Low 0.630819500
## 636          High 0.088694874
## 637           Low 1.369244902
## 638          High 0.910744005
## 639          High 0.452349681
## 640          High 1.351397720
## 641           Low 2.527081871
## 642           Low 2.527081871
## 643           Low 0.172333097
## 644           Low 0.228323384
## 645           Low 0.184653486
## 646          High 0.958708194
## 647           Low 0.150027324
## 648          High 0.551571446
## 649          High 0.273882930
## 650           Low 0.223913789
## 651           Low 3.062498132
## 652          High 0.618497773
## 653           Low 0.786981468
## 654           Low 0.618497773
## 655           Low 0.261561731
## 656          High 0.819277477
## 657           Low 0.742363712
## 658          High 0.428873779
## 659           Low 0.819277477
## 660          High 0.819277477
## 661          High 0.018582705
## 662          High 1.411631960
## 663          High 0.786981468
## 664           Low 0.930822035
## 665          High 0.819277477
## 666          High 0.396578297
## 667          High 2.460154846
## 668          High 0.872818847
## 669          High 1.351397720
## 670           Low 0.272715653
## 671          High 0.898525983
## 672           Low 0.038554888
## 673          High 0.965452758
## 674           Low 0.596188979
## 675           Low 0.038554888
## 676           Low 0.819277477
## 677          High 0.038554888
## 678           Low 0.485812640
## 679          High 0.484645323
## 680           Low 0.038554888
## 681          High 0.819277477
## 682           Low 0.965452758
## 683          High 0.206960310
## 684           Low 0.358653963
## 685          High 0.653128318
## 686           Low 0.060828063
## 687          High 0.567797176
## 688           Low 0.685424244
## 689          High 0.060828063
## 690           Low 0.073139478
## 691          High 0.247158208
## 692          High 0.675318339
## 693          High 2.705553947
## 694           Low 0.953130962
## 695          High 0.328485864
## 696          High 0.038554888
## 697          High 0.819277477
## 698           Low 0.730041951
## 699           Low 0.150027324
## 700           Low 0.909680442
## 701           Low 0.875049738
## 702           Low 0.819277477
## 703          High 0.742363712
## 704          High 0.150027324
## 705           Low 3.232938994
## 706           Low 1.806947242
## 707           Low 0.073139478
## 708           Low 0.596188979
## 709           Low 0.819277477
## 710           Low 0.324024217
## 711           Low 1.411631960
## 712           Low 0.194639615
## 713          High 0.484645323
## 714           Low 0.358653963
## 715          High 0.707733092
## 716          High 2.080901755
## 717           Low 0.296190916
## 718           Low 0.060828063
## 719          High 0.358653963
## 720           Low 2.303991798
## 721          High 0.301716055
## 722           Low 1.076997463
## 723          High 0.385424060
## 724           Low 2.527081871
## 725          High 0.786981468
## 726          High 0.596188979
## 727          High 0.430041091
## 728          High 0.707733092
## 729          High 2.248219284
## 730           Low 0.575047524
## 731          High 0.073741401
## 732           Low 0.774168903
## 733          High 1.411631960
## 734           Low 0.251575127
## 735          High 0.060828063
## 736           Low 0.930822035
## 737          High 0.357486662
## 738          High 0.060828063
## 739           Low 2.080901755
## 740           Low 0.296190916
## 741          High 0.038554888
## 742           Low 0.742363712
## 743          High 0.038554888
## 744           Low 0.819277477
## 745           Low 3.391483925
## 746           Low 0.819277477
## 747          High 0.819277477
## 748           Low 0.073139478
## 749          High 0.373102537
## 750           Low 0.819277477
## 751           Low 0.060828063
## 752           Low 0.162347266
## 753          High 0.261561731
## 754           Low 0.038554888
## 755          High 0.596188979
## 756          High 0.038554888
## 757          High 1.500867889
## 758          High 0.296190916
## 759          High 0.596188979
## 760           Low 0.702497778
## 761          High 0.182638633
## 762           Low 0.791443245
## 763          High 2.884026034
## 764          High 0.340807296
## 765          High 0.791443245
## 766           Low 0.067566473
## 767          High 0.551571446
## 768           Low 0.368640855
## 769          High 0.358653963
## 770           Low 1.432691638
## 771           Low 0.414826659
## 772           Low 0.707733092
## 773          High 0.702497778
## 774          High 0.182638633
## 775          High 1.188542243
## 776           Low 0.524800968
## 777          High 1.607951026
## 778          High 0.278344514
## 779           Low 0.644762510
## 780           Low 0.610131973
## 781          High 0.707733092
## 782          High 0.373102537
## 783          High 1.054688515
## 784           Low 0.474658311
## 785          High 0.363115639
## 786           Low 1.911353350
## 787           Low 2.125519761
## 788           Low 0.474658311
## 789           Low 0.541584396
## 790           Low 0.038554888
## 791           Low 0.610689693
## 792           Low 1.679339796
## 793          High 1.300087080
## 794           Low 0.073139478
## 795          High 0.819277477
## 796          High 0.412595806
## 797           Low 0.038554888
## 798           Low 0.596188979
## 799           Low 1.732881379
## 800           Low 0.232561798
## 801          High 0.596188979
## 802          High 1.969356749
## 803          High 0.261561731
## 804           Low 0.819277477
## 805          High 0.519275673
## 806          High 0.150027324
## 807           Low 0.519275673
## 808           Low 0.707733092
## 809          High 0.384256755
## 810           Low 0.891833308
## 811          High 2.051900052
## 812          High 0.611805133
## 813          High 0.150027324
## 814          High 2.466847548
## 815          High 0.256036671
## 816           Low 0.396578297
## 817          High 1.648107208
## 818          High 0.361948337
## 819           Low 0.627963972
## 820           Low 0.003867387
## 821          High 0.830431926
## 822          High 0.551571446
## 823          High 2.080901755
## 824           Low 0.088694874
## 825          High 0.581740156
## 826          High 0.206960310
## 827          High 0.038554888
## 828          High 0.140041938
## 829          High 1.300087080
## 830           Low 0.038554888
## 831           Low 0.730041951
## 832           Low 1.411631960
## 833          High 0.853908158
## 834           Low 0.407732548
## 835          High 0.428873779
## 836           Low 0.354192291
## 837          High 0.399872687
## 838           Low 0.506954003
## 839          High 1.188542243
## 840           Low 0.742363712
## 841          High 0.417719503
## 842           Low 0.018582705
## 843          High 2.466847548
## 844           Low 0.256036671
## 845          High 0.073139478
## 846           Low 0.685424244
## 847          High 0.407732548
## 848           Low 0.774659698
## 849          High 0.218113890
## 850           Low 1.634721814
## 851          High 0.117738011
## 852          High 0.653128318
## 853          High 0.060828063
## 854           Low 0.117738011
## 855          High 0.506954003
## 856           Low 0.914142227
## 857          High 0.711391744
## 858           Low 0.596188979
## 859           Low 0.417719503
## 860           Low 2.192446772
## 861          High 0.073139478
## 862           Low 4.869528438
## 863           Low 1.857811755
## 864           Low 0.615203336
## 865          High 0.930822035
## 866           Low 0.173500286
## 867          High 2.415536831
## 868           Low 0.210254494
## 869          High 0.791443245
## 870           Low 0.117738011
## 871           Low 0.506954003
## 872           Low 0.742363712
## 873           Low 0.006744347
## 874           Low 3.713921352
## 875          High 1.396015675
## 876          High 0.619665097
## 877          High 0.738965498
## 878           Low 0.742363712
## 879          High 0.529262712
## 880           Low 0.417719503
## 881           Low 2.527081871
## 882           Low 0.261561731
## 883           Low 0.506954003
## 884           Low 2.527081871
## 885          High 0.541584396
## 886          High 1.991665749
## 887          High 0.060828063
## 888           Low 0.440028067
## 889          High 0.819277477
## 890          High 0.953130962
## 891          High 0.930822035
## 892           Low 0.573880202
## 893          High 0.248980170
## 894           Low 0.934079138
## 895          High 0.853908158
## 896           Low 0.462336676
## 897          High 0.073139478
## 898          High 0.819277477
## 899           Low 0.853908158
## 900           Low 0.462336676
## 901           Low 0.790275917
## 902           Low 0.073139478
## 903           Low 0.774659698
## 904           Low 0.354192291
## 905          High 0.399872687
## 906           Low 0.073139478
## 907           Low 0.819277477
## 908           Low 0.150027324
## 909          High 0.392116600
## 910          High 2.125519761
## 911          High 0.474658311
## 912          High 0.038554888
## 913           Low 1.188542243
## 914           Low 0.663115407
## 915           Low 0.581740156
## 916           Low 0.083120467
## 917          High 0.886204195
## 918           Low 0.395410989
## 919          High 0.519275673
## 920           Low 0.596188979
## 921          High 0.140041938
## 922          High 0.417719503
## 923           Low 0.730041951
## 924           Low 0.150027324
## 925           Low 0.596188979
## 926           Low 1.969356749
## 927          High 1.255469140
## 928           Low 0.630819500
## 929           Low 0.596188979
## 930           Low 0.272715653
## 931          High 0.930822035
## 932           Low 1.634721814
## 933          High 0.596188979
## 934          High 0.340807296
## 935          High 1.411631960
## 936          High 0.385424060
## 937          High 0.919667573
## 938           Low 0.430041091
## 939          High 0.259330953
## 940          High 0.073139478
## 941          High 0.596188979
## 942           Low 0.730041951
## 943          High 0.675437149
## 944           Low 0.117738011
## 945          High 0.373102537
## 946          High 3.642532502
## 947          High 0.417719503
## 948           Low 1.074766568
## 949          High 4.423348081
## 950           Low 1.300087080
## 951          High 1.523176874
## 952          High 1.523176874
## 953           Low 0.368640855
## 954           Low 0.368640855
## 955          High 0.351961457
## 956          High 0.205793078
## 957           Low 2.705553947
## 958          High 0.953130962
## 959           Low 2.527081871
## 960          High 0.819277477
## 961           Low 0.791443245
## 962          High 0.930822035
## 963           Low 0.707733092
## 964          High 1.188542243
## 965           Low 0.150027324
## 966           Low 0.368640855
## 967           Low 0.519275673
## 968          High 0.484645323
## 969          High 2.527081871
## 970          High 0.819277477
## 971          High 2.527081871
## 972           Low 0.819277477
## 973           Low 0.581740156
## 974           Low 0.599587180
## 975           Low 0.965452758
## 976           Low 0.752350820
## 977           Low 2.705553947
## 978          High 0.082057488
## 979          High 0.385424060
## 980          High 1.411631960
## 981          High 4.423348081
## 982          High 2.750171967
## 983           Low 0.640806583
## 984          High 4.423348081
## 985          High 2.750171967
## 986          High 1.351397720
## 987           Low 1.188542243
## 988          High 0.150027324
## 989           Low 0.519275673
## 990          High 0.484645323
## 991           Low 0.368640855
## 992           Low 0.791443245
## 993           Low 0.395410989
## 994          High 3.391483925
## 995           Low 0.819277477
## 996          High 2.660935926
## 997          High 0.385424060
## 998          High 0.018582705
## 999          High 0.396578297
## 1000          Low 3.391483925
## 1001          Low 1.857811755
## 1002         High 0.296190916
## 1003         High 0.396578297
## 1004         High 0.041945205
## 1005          Low 0.965452758
## 1006          Low 0.596188979
## 1007          Low 1.351397720
## 1008          Low 3.865622660
## 1009          Low 1.188542243
## 1010         High 0.619665097
## 1011         High 1.253706731
## 1012         High 0.372098658
## 1013          Low 0.853908158
## 1014         High 0.261561731
## 1015         High 0.150027324
## 1016          Low 0.551571446
## 1017          Low 0.261561731
## 1018         High 0.675385266
## 1019          Low 1.300087080
## 1020         High 0.038554888
## 1021         High 0.619665097
## 1022         High 0.712194863
## 1023          Low 0.181255630
## 1024         High 1.369244902
## 1025          Low 0.910744005
## 1026         High 0.460046154
## 1027          Low 0.143335789
## 1028         High 0.296190916
## 1029         High 0.407732548
## 1030         High 0.428873779
## 1031         High 0.921838805
## 1032         High 0.258267446
## 1033         High 0.819277477
## 1034         High 0.173500286
## 1035          Low 0.822720313
## 1036          Low 0.963839249
## 1037          Low 0.150027324
## 1038          Low 0.150027324
## 1039          Low 0.551571446
## 1040         High 0.038554888
## 1041          Low 0.619665097
## 1042          Low 0.730041951
## 1043          Low 0.373102537
## 1044         High 2.440076739
## 1045         High 0.941976498
## 1046         High 0.742363712
## 1047          Low 0.006744347
## 1048         High 0.519275673
## 1049         High 0.484645323
## 1050         High 0.328485864
## 1051         High 1.411631960
## 1052          Low 0.073139478
## 1053          Low 1.300087080
## 1054         High 1.300087080
## 1055          Low 1.074766568
## 1056         High 0.707733092
## 1057          Low 0.328485864
## 1058         High 0.428873779
## 1059          Low 0.819277477
## 1060         High 0.930822035
## 1061          Low 3.196352211
## 1062          Low 0.028601871
## 1063          Low 1.143924323
## 1064         High 0.685424244
## 1065          Low 0.930822035
## 1066         High 0.768139676
## 1067          Low 2.466847548
## 1068         High 0.256036671
## 1069          Low 1.837733657
## 1070         High 0.742363712
## 1071          Low 0.819277477
## 1072          Low 1.478335815
## 1073          Low 0.547778960
## 1074          Low 1.634721814
## 1075          Low 1.076997463
## 1076         High 0.396578297
## 1077          Low 0.073139478
## 1078          Low 0.930822035
## 1079          Low 0.581740156
## 1080         High 0.261561731
## 1081         High 0.173968717
## 1082          Low 0.220560425
## 1083          Low 0.296190916
## 1084          Low 0.373102537
## 1085          Low 0.112496881
## 1086         High 1.143924323
## 1087         High 0.685424244
## 1088         High 0.269421353
## 1089          Low 0.712194863
## 1090         High 2.527081871
## 1091          Low 0.296190916
## 1092         High 0.707733092
## 1093         High 0.172333097
## 1094         High 0.150027324
## 1095          Low 0.764672586
## 1096         High 0.150027324
## 1097         High 0.791443245
## 1098         High 1.969356749
## 1099          Low 0.373102537
## 1100         High 1.039072253
## 1101          Low 0.696578667
## 1102          Low 0.791443245
## 1103          Low 0.140041938
## 1104          Low 2.660935926
## 1105          Low 0.150027324
## 1106          Low 0.581740156
## 1107          Low 1.143924323
## 1108         High 0.239254052
## 1109         High 0.440028067
## 1110         High 0.819277477
## 1111          Low 0.581740156
## 1112          Low 2.660935926
## 1113          Low 0.385424060
## 1114         High 0.484645323
## 1115         High 0.296190916
## 1116         High 0.261561731
## 1117          Low 0.038554888
## 1118          Low 0.138562564
## 1119          Low 0.296190916
## 1120         High 0.819277477
## 1121         High 0.484697207
## 1122         High 0.783583251
## 1123          Low 3.062498132
## 1124         High 0.618497773
## 1125          Low 0.707733092
## 1126          Low 0.814867582
## 1127          Low 0.679289312
## 1128          Low 0.742363712
## 1129          Low 0.596188979
## 1130          Low 0.417719503
## 1131          Low 1.300087080
## 1132         High 0.038554888
## 1133         High 0.506954003
## 1134         High 1.857811755
## 1135          Low 1.014532417
## 1136          Low 4.088712824
## 1137          Low 0.742363712
## 1138          Low 0.707733092
## 1139          Low 0.190178265
## 1140         High 1.411631960
## 1141         High 0.385424060
## 1142         High 0.819277477
## 1143         High 1.411631960
## 1144         High 2.080901755
## 1145          Low 1.188542243
## 1146          Low 0.653128318
## 1147          Low 0.060828063
## 1148          Low 0.117738011
## 1149          Low 0.506954003
## 1150         High 0.742363712
## 1151         High 0.596188979
## 1152         High 0.853908158
## 1153          Low 0.676500707
## 1154          Low 2.466847548
## 1155          Low 0.256036671
## 1156          Low 0.117738011
## 1157         High 0.506954003
## 1158          Low 0.417719503
## 1159         High 0.396578297
## 1160          Low 1.488151768
## 1161         High 0.581293980
## 1162          Low 0.073139478
## 1163          Low 0.774659698
## 1164          Low 1.764113971
## 1165         High 0.473490995
## 1166         High 0.140041938
## 1167         High 0.150027324
## 1168          Low 0.819277477
## 1169         High 0.150027324
## 1170          Low 0.791443245
## 1171          Low 1.500867889
## 1172          Low 0.296190916
## 1173         High 1.634721814
## 1174         High 0.117738011
## 1175         High 1.908899360
## 1176         High 0.387067620
## 1177          Low 0.184653486
## 1178          Low 0.396578297
## 1179          Low 0.116570996
## 1180          Low 0.396578297
## 1181         High 0.150027324
## 1182         High 0.551571446
## 1183          Low 0.819277477
## 1184          Low 1.422786450
## 1185         High 0.448951506
## 1186         High 1.355859516
## 1187         High 0.324024217
## 1188          Low 1.355859516
## 1189         High 0.324024217
## 1190          Low 0.815759937
## 1191         High 0.889602416
## 1192          Low 0.396578297
## 1193          Low 0.742363712
## 1194          Low 0.398809146
## 1195         High 0.036329989
## 1196          Low 0.150027324
## 1197         High 0.819277477
## 1198          Low 1.634721814
## 1199          Low 0.596188979
## 1200         High 0.819277477
## 1201         High 0.402155420
## 1202         High 0.740080941
## 1203          Low 0.819277477
## 1204         High 0.819277477
## 1205         High 0.296190916
## 1206         High 0.965452758
## 1207          Low 0.261561731
## 1208          Low 0.819277477
## 1209          Low 0.465980249
## 1210         High 0.261561731
## 1211         High 0.373102537
## 1212         High 0.941976498
## 1213          Low 0.396578297
## 1214          Low 1.531208109
## 1215          Low 0.581740156
## 1216          Low 0.373102537
## 1217          Low 2.529424317
## 1218         High 0.794960784
## 1219          Low 0.688822454
## 1220          Low 0.930822035
## 1221          Low 0.038554888
## 1222         High 0.519275673
## 1223         High 1.411631960
## 1224         High 0.297254438
## 1225         High 0.630819500
## 1226          Low 0.752350820
## 1227          Low 0.446229425
## 1228          Low 1.217049852
## 1229          Low 0.340807296
## 1230         High 0.018582705
## 1231         High 0.396578297
## 1232         High 2.884026034
## 1233         High 0.340807296
## 1234         High 3.196352211
## 1235         High 0.028601871
## 1236         High 0.073139478
## 1237         High 0.373102537
## 1238         High 0.150027324
## 1239         High 0.551571446
## 1240         High 0.819277477
## 1241          Low 0.930822035
## 1242          Low 0.930822035
## 1243          Low 0.396578297
## 1244          Low 0.819277477
## 1245          Low 1.355859516
## 1246          Low 0.324024217
## 1247          Low 3.185197705
## 1248         High 1.848888156
## 1249         High 0.853908158
## 1250          Low 0.676500707
## 1251          Low 0.073139478
## 1252          Low 0.373102537
## 1253          Low 0.018582705
## 1254         High 0.396578297
## 1255          Low 0.396578297
## 1256         High 0.908513112
## 1257          Low 0.883973304
## 1258          Low 1.567794847
## 1259          Low 0.229267561
## 1260          Low 0.707733092
## 1261          Low 1.422786450
## 1262         High 0.448951506
## 1263          Low 0.272715653
## 1264         High 0.960957702
## 1265          Low 0.576528362
## 1266          Low 1.634721814
## 1267          Low 0.853908158
## 1268          Low 0.889602416
## 1269          Low 0.398809146
## 1270         High 3.419442352
## 1271          Low 0.563893143
## 1272         High 0.599587180
## 1273          Low 0.738965498
## 1274         High 2.727862957
## 1275          Low 0.889602416
## 1276         High 2.595124348
## 1277          Low 0.348615206
## 1278         High 0.038554888
## 1279          Low 0.472427446
## 1280          Low 0.631883057
## 1281          Low 2.595124348
## 1282         High 0.348615206
## 1283          Low 4.423348081
## 1284         High 0.296190916
## 1285          Low 1.217543896
## 1286         High 0.562755396
## 1287         High 0.324024217
## 1288         High 1.478558905
## 1289         High 1.188542243
## 1290         High 3.196352211
## 1291          Low 0.385424060
## 1292          Low 0.150027324
## 1293          Low 0.596188979
## 1294         High 0.153425006
## 1295          Low 0.865062612
## 1296          Low 3.154701283
## 1297         High 0.714589177
## 1298          Low 1.430148414
## 1299         High 0.967185588
## 1300          Low 1.634721814
## 1301          Low 0.596188979
## 1302          Low 0.374269841
## 1303          Low 0.451182367
## 1304          Low 0.150027324
## 1305         High 0.551571446
## 1306         High 0.930822035
## 1307         High 0.141105303
## 1308         High 0.856087165
## 1309         High 0.650845552
## 1310         High 2.727862957
## 1311         High 0.128889754
## 1312         High 0.930822035
## 1313          Low 0.396578297
## 1314          Low 0.073139478
## 1315         High 0.373102537
## 1316         High 0.707733092
## 1317         High 0.396578297
## 1318         High 0.373102537
## 1319         High 0.943143828
## 1320         High 0.117738011
## 1321          Low 0.506954003
## 1322          Low 0.116570996
## 1323          Low 0.827137475
## 1324          Low 0.326255040
## 1325          Low 1.607951026
## 1326          Low 0.278344514
## 1327         High 0.038554888
## 1328          Low 0.863895283
## 1329         High 0.153425006
## 1330          Low 0.244830949
## 1331         High 1.576718442
## 1332          Low 0.151194466
## 1333         High 0.939931343
## 1334          Low 0.941084141
## 1335          Low 0.373102537
## 1336          Low 0.707733092
## 1337         High 0.373102537
## 1338          Low 0.805892140
## 1339         High 0.239254052
## 1340         High 0.774659698
## 1341         High 0.296190916
## 1342          Low 0.853908158
## 1343         High 0.311576247
## 1344          Low 1.300087080
## 1345         High 0.184475033
## 1346          Low 0.604048938
## 1347         High 0.143335789
## 1348          Low 0.930822035
## 1349         High 4.211412417
## 1350          Low 1.418324654
## 1351         High 1.422786450
## 1352          Low 0.448951506
## 1353          Low 1.685340915
## 1354          Low 0.983232978
## 1355          Low 0.883973304
## 1356          Low 0.038554888
## 1357          Low 0.930822035
## 1358          Low 0.184653486
## 1359         High 0.707733092
## 1360          Low 0.038554888
## 1361          Low 0.930822035
## 1362          Low 0.620728653
## 1363         High 0.511415743
## 1364         High 0.853908158
## 1365         High 0.421117667
## 1366         High 0.653730656
## 1367         High 2.736786561
## 1368         High 0.616266893
## 1369          Low 0.276061839
## 1370          Low 0.889602416
## 1371         High 0.150027324
## 1372          Low 0.551571446
## 1373         High 1.679339796
## 1374         High 0.016379571
## 1375          Low 0.038554888
## 1376          Low 0.261561731
## 1377         High 1.014532417
## 1378         High 1.813193761
## 1379          Low 0.745658159
## 1380          Low 0.653128318
## 1381          Low 0.060828063
## 1382          Low 0.073139478
## 1383          Low 0.930822035
## 1384          Low 0.707733092
## 1385         High 0.876217068
## 1386         High 0.596188979
## 1387         High 0.269421353
## 1388          Low 0.965452758
## 1389         High 0.206960310
## 1390         High 0.116570996
## 1391         High 0.519275673
## 1392         High 4.423348081
## 1393         High 1.300087080
## 1394          Low 0.853908158
## 1395          Low 0.261561731
## 1396          Low 0.519275673
## 1397         High 0.779121474
## 1398          Low 0.875049738
## 1399          Low 1.188542243
## 1400          Low 0.524800968
## 1401         High 1.054688515
## 1402         High 0.239254052
## 1403         High 0.475721860
## 1404         High 0.141105303
## 1405         High 0.018582705
## 1406          Low 0.930822035
## 1407          Low 3.196352211
## 1408          Low 0.385424060
## 1409         High 0.395410989
## 1410         High 0.417719503
## 1411         High 0.865062612
## 1412          Low 0.819277477
## 1413         High 0.876217068
## 1414          Low 0.551571446
## 1415          Low 0.296190916
## 1416          Low 0.819277477
## 1417          Low 0.184653486
## 1418          Low 0.596188979
## 1419         High 0.730041951
## 1420         High 0.596188979
## 1421         High 0.930822035
## 1422          Low 1.175156866
## 1423          Low 3.185197705
## 1424          Low 1.848888156
## 1425         High 0.396578297
## 1426         High 0.965452758
## 1427         High 0.150027324
## 1428         High 0.506954003
## 1429         High 0.395410989
## 1430          Low 3.046881823
## 1431         High 0.045233131
## 1432          Low 0.930822035
## 1433         High 0.373102537
## 1434          Low 0.519275673
## 1435         High 0.345217075
## 1436          Low 0.184653486
## 1437         High 0.018582705
## 1438          Low 0.164577854
## 1439         High 0.767967034
## 1440         High 0.073139478
## 1441         High 1.188542243
## 1442          Low 0.657538199
## 1443         High 0.563893143
## 1444          Low 0.373102537
## 1445         High 0.171269666
## 1446         High 0.396578297
## 1447         High 0.283869622
## 1448          Low 0.774659698
## 1449         High 0.937514713
## 1450          Low 0.296190916
## 1451          Low 0.596188979
## 1452          Low 1.764113971
## 1453         High 0.212485208
## 1454         High 0.786981468
## 1455         High 1.411631960
## 1456         High 0.073139478
## 1457         High 2.177053559
## 1458         High 0.750343022
## 1459         High 3.062498132
## 1460          Low 0.618497773
## 1461         High 0.396578297
## 1462          Low 2.727862957
## 1463         High 1.351397720
## 1464          Low 0.590886754
## 1465         High 0.296190916
## 1466         High 0.889602416
## 1467         High 0.853908158
## 1468         High 0.676500707
## 1469          Low 1.411631960
## 1470          Low 0.239254052
## 1471          Low 1.041303148
## 1472         High 0.924129358
## 1473          Low 1.367014004
## 1474          Low 0.841586377
## 1475          Low 0.675385266
## 1476          Low 0.038554888
## 1477          Low 0.653128318
## 1478         High 0.060828063
## 1479          Low 2.527081871
## 1480          Low 0.296190916
## 1481          Low 0.965452758
## 1482         High 0.206960310
## 1483          Low 0.117738011
## 1484         High 0.506954003
## 1485          Low 0.853908158
## 1486         High 0.759043483
## 1487          Low 0.117738011
## 1488         High 0.506954003
## 1489          Low 0.596188979
## 1490         High 0.396578297
## 1491         High 1.369244902
## 1492         High 0.910744005
## 1493          Low 0.296190916
## 1494         High 0.930822035
## 1495          Low 0.965452758
## 1496         High 0.060828063
## 1497          Low 1.846657256
## 1498          Low 0.448951506
## 1499          Low 2.426691335
## 1500         High 0.480183591
## 1501          Low 0.889602416
## 1502          Low 1.076997463
## 1503          Low 0.150027324
## 1504         High 0.953130962
## 1505          Low 0.581309023
## 1506         High 0.395410989
## 1507          Low 0.865062612
## 1508         High 2.620779709
## 1509          Low 0.288331221
## 1510          Low 0.112496881
## 1511          Low 0.306177677
## 1512         High 0.596188979
## 1513         High 1.598670487
## 1514          Low 0.750119933
## 1515          Low 0.417719503
## 1516          Low 0.904051329
## 1517          Low 0.891833308
## 1518         High 4.088712824
## 1519          Low 1.300087080
## 1520         High 0.484697207
## 1521          Low 0.783583251
## 1522         High 3.847106177
## 1523         High 2.426468244
## 1524         High 1.478558905
## 1525         High 0.551571446
## 1526         High 0.506954003
## 1527          Low 3.847106177
## 1528          Low 2.426468244
## 1529          Low 0.910744005
## 1530         High 3.046881823
## 1531         High 0.045233131
## 1532          Low 0.819277477
## 1533          Low 1.355859516
## 1534         High 0.324024217
## 1535          Low 0.269421353
## 1536         High 0.291677424
## 1537         High 0.038554888
## 1538         High 0.596188979
## 1539          Low 2.080901755
## 1540         High 0.296190916
## 1541         High 1.369244902
## 1542         High 0.910744005
## 1543          Low 0.742363712
## 1544         High 0.261561731
## 1545          Low 0.261561731
## 1546         High 0.819277477
## 1547          Low 0.930822035
## 1548         High 0.819277477
## 1549          Low 0.819277477
## 1550         High 0.519275673
## 1551          Low 0.373102537
## 1552         High 0.596188979
## 1553         High 0.742363712
## 1554         High 0.038554888
## 1555          Low 0.094269618
## 1556          Low 0.485812640
## 1557          Low 0.484645323
## 1558         High 0.908513112
## 1559         High 0.853908158
## 1560         High 0.676500707
## 1561         High 2.527081871
## 1562         High 0.418886813
## 1563         High 0.150027324
## 1564         High 0.396578297
## 1565         High 1.478335815
## 1566         High 0.547778960
## 1567          Low 0.653128318
## 1568         High 0.060828063
## 1569          Low 0.373102537
## 1570         High 2.527081871
## 1571         High 0.596188979
## 1572         High 0.596188979
## 1573          Low 1.746266776
## 1574         High 0.752350820
## 1575          Low 0.965452758
## 1576         High 0.752350820
## 1577         High 0.842753706
## 1578          Low 0.930822035
## 1579          Low 0.914142227
## 1580         High 0.711391744
## 1581         High 0.484645323
## 1582          Low 0.496966977
## 1583          Low 0.018582705
## 1584         High 4.088712824
## 1585          Low 2.527081871
## 1586         High 0.608510697
## 1587         High 0.730041951
## 1588         High 0.407732548
## 1589         High 0.651960993
## 1590         High 1.523176874
## 1591          Low 0.194639615
## 1592         High 0.707733092
## 1593          Low 0.050853050
## 1594         High 0.396578297
## 1595          Low 0.116570996
## 1596         High 0.361948337
## 1597         High 0.324024217
## 1598         High 0.718887521
## 1599          Low 0.117738011
## 1600         High 0.853908158
## 1601         High 0.073139478
## 1602          Low 0.463503991
## 1603          Low 0.308408490
## 1604          Low 1.500867889
## 1605          Low 0.038554888
## 1606          Low 0.551571446
## 1607         High 0.853908158
## 1608          Low 0.676500707
## 1609         High 0.883973304
## 1610         High 0.408796091
## 1611         High 1.121615367
## 1612         High 0.370603994
## 1613         High 0.707733092
## 1614          Low 1.634721814
## 1615         High 1.054688515
## 1616          Low 0.396578297
## 1617         High 3.196352211
## 1618         High 0.385424060
## 1619         High 0.150027324
## 1620          Low 0.484645323
## 1621          Low 0.018582705
## 1622          Low 0.433112407
## 1623         High 2.466847548
## 1624         High 0.256036671
## 1625         High 0.440028067
## 1626          Low 0.819277477
## 1627          Low 0.261561731
## 1628          Low 3.084807145
## 1629         High 0.350794157
## 1630         High 0.150027324
## 1631          Low 1.746266776
## 1632          Low 0.328485864
## 1633         High 0.689662924
## 1634         High 0.578341956
## 1635          Low 0.483581774
## 1636          Low 0.650845552
## 1637         High 1.199696725
## 1638          Low 0.421117667
## 1639         High 1.980511249
## 1640          Low 0.430041091
## 1641         High 0.358653963
## 1642         High 0.730041951
## 1643         High 0.920834903
## 1644          Low 0.150027324
## 1645         High 0.261561731
## 1646          Low 0.707733092
## 1647         High 0.465980249
## 1648          Low 1.143924323
## 1649         High 0.239254052
## 1650          Low 0.117738011
## 1651         High 0.184653486
## 1652         High 0.396578297
## 1653         High 0.349730623
## 1654          Low 0.881742412
## 1655          Low 0.261561731
## 1656          Low 1.143924323
## 1657         High 0.239254052
## 1658         High 1.166233282
## 1659          Low 0.239254052
## 1660          Low 0.396578297
## 1661          Low 1.188542243
## 1662          Low 0.663115407
## 1663         High 0.484645323
## 1664         High 0.965452758
## 1665         High 0.206960310
## 1666         High 1.909122450
## 1667         High 0.804828579
## 1668          Low 0.428873779
## 1669         High 0.311754713
## 1670         High 0.471260131
## 1671         High 0.117738011
## 1672          Low 0.506954003
## 1673         High 0.930822035
## 1674          Low 0.889602416
## 1675         High 0.018582705
## 1676         High 3.232938994
## 1677         High 1.806947242
## 1678         High 2.103210758
## 1679         High 0.127722686
## 1680         High 0.465980249
## 1681         High 0.853908158
## 1682          Low 0.417719503
## 1683         High 2.094287157
## 1684         High 0.627421295
## 1685         High 0.296190916
## 1686         High 2.165229787
## 1687         High 0.709792773
## 1688         High 0.183486280
## 1689         High 3.046881823
## 1690         High 0.045233131
## 1691         High 1.369244902
## 1692          Low 0.910744005
## 1693         High 0.038554888
## 1694          Low 0.418886813
## 1695         High 0.116570996
## 1696         High 0.117738011
## 1697         High 0.506954003
## 1698         High 0.573880202
## 1699         High 1.351397720
## 1700          Low 0.930822035
## 1701         High 0.296190916
## 1702          Low 0.596188979
## 1703          Low 0.398809146
## 1704          Low 2.051900052
## 1705         High 0.611805133
## 1706          Low 0.150027324
## 1707         High 1.143924323
## 1708         High 0.239254052
## 1709          Low 0.965452758
## 1710          Low 0.261561731
## 1711          Low 1.478335815
## 1712          Low 0.547778960
## 1713         High 0.083120467
## 1714          Low 1.478558905
## 1715         High 0.327593534
## 1716         High 2.756195400
## 1717         High 1.168017999
## 1718         High 1.478558905
## 1719         High 0.327593534
## 1720         High 0.865062612
## 1721          Low 0.917488565
## 1722          Low 0.138874829
## 1723         High 0.273882930
## 1724          Low 0.618497773
## 1725          Low 3.642532502
## 1726          Low 1.188542243
## 1727         High 0.596188979
## 1728          Low 0.930822035
## 1729         High 0.283869622
## 1730         High 1.976049449
## 1731         High 0.071972978
## 1732          Low 1.411631960
## 1733          Low 0.853908158
## 1734          Low 0.276061839
## 1735          Low 2.171253218
## 1736          Low 0.157886117
## 1737          Low 2.527081871
## 1738         High 0.296190916
## 1739          Low 1.032134172
## 1740         High 0.396578297
## 1741          Low 0.883973304
## 1742         High 0.396578297
## 1743          Low 0.408796091
## 1744         High 0.418886813
## 1745         High 0.883973304
## 1746         High 1.355859516
## 1747         High 0.324024217
## 1748          Low 0.117738011
## 1749          Low 0.408796091
## 1750          Low 0.807007585
## 1751          Low 0.150027324
## 1752         High 0.551571446
## 1753         High 0.889602416
## 1754         High 0.883973304
## 1755          Low 0.261561731
## 1756          Low 0.883973304
## 1757          Low 0.408796091
## 1758         High 0.269421353
## 1759          Low 0.805892140
## 1760         High 0.083120467
## 1761          Low 0.428873779
## 1762          Low 0.261561731
## 1763          Low 1.166233282
## 1764         High 0.841586377
## 1765         High 0.038554888
## 1766         High 0.358653963
## 1767         High 0.116570996
## 1768         High 0.016379571
## 1769         High 0.038554888
## 1770         High 0.206960310
## 1771         High 0.407732548
## 1772         High 0.819277477
## 1773          Low 0.889602416
## 1774         High 0.853908158
## 1775         High 0.676500707
## 1776         High 0.791443245
## 1777         High 0.150027324
## 1778         High 0.484645323
## 1779         High 1.344705028
## 1780         High 0.930822035
## 1781          Low 0.396578297
## 1782          Low 2.466847548
## 1783          Low 0.256036671
## 1784         High 0.324024217
## 1785          Low 0.396578297
## 1786         High 1.277778109
## 1787         High 0.663115407
## 1788         High 0.650845552
## 1789          Low 0.596188979
## 1790         High 2.103210758
## 1791         High 0.127722686
## 1792         High 2.094287157
## 1793          Low 0.627421295
## 1794         High 2.868409726
## 1795         High 0.523737416
## 1796         High 0.216946648
## 1797          Low 0.038554888
## 1798         High 1.411631960
## 1799         High 0.596188979
## 1800          Low 0.078661233
## 1801          Low 0.038554888
## 1802         High 0.930822035
## 1803          Low 0.819277477
## 1804         High 0.373102537
## 1805          Low 0.349678740
## 1806         High 0.006744347
## 1807          Low 0.216946648
## 1808          Low 0.296190916
## 1809          Low 0.596188979
## 1810         High 1.217543896
## 1811         High 0.038554888
## 1812          Low 0.774659698
## 1813          Low 2.259373786
## 1814         High 0.596188979
## 1815         High 0.067566473
## 1816         High 0.930822035
## 1817         High 0.865062612
## 1818         High 3.847106177
## 1819          Low 2.756195400
## 1820          Low 1.456249922
## 1821          Low 1.355859516
## 1822         High 0.324024217
## 1823          Low 0.908513112
## 1824         High 0.396578297
## 1825         High 1.924738750
## 1826         High 0.451182367
## 1827          Low 0.150027324
## 1828          Low 0.819277477
## 1829         High 0.283869622
## 1830          Low 0.581740156
## 1831          Low 1.355859516
## 1832          Low 0.324024217
## 1833         High 0.067566473
## 1834          Low 0.073139478
## 1835         High 0.939351311
## 1836          Low 0.850733028
## 1837         High 0.138562564
## 1838         High 0.742363712
## 1839          Low 0.373102537
## 1840          Low 0.395410989
## 1841          Low 0.138562564
## 1842          Low 1.351397720
## 1843         High 0.418886813
## 1844         High 0.596188979
## 1845          Low 0.930822035
## 1846          Low 1.143924323
## 1847          Low 0.685424244
## 1848          Low 0.396578297
## 1849          Low 0.396578297
## 1850          Low 0.596188979
## 1851         High 1.500867889
## 1852          Low 0.296190916
## 1853         High 0.920834903
## 1854         High 1.039072253
## 1855         High 0.696578667
## 1856          Low 0.073139478
## 1857          Low 0.273882930
## 1858          Low 0.551571446
## 1859         High 0.474658311
## 1860         High 1.188542243
## 1861         High 1.155748071
## 1862          Low 0.707733092
## 1863         High 0.395410989
## 1864         High 0.073139478
## 1865         High 0.819277477
## 1866         High 0.714425749
## 1867         High 1.031487213
## 1868          Low 0.453413228
## 1869         High 0.685424244
## 1870          Low 0.140041938
## 1871         High 0.073139478
## 1872         High 0.418552185
## 1873         High 0.672931293
## 1874         High 0.965452758
## 1875          Low 0.261561731
## 1876          Low 0.532660904
## 1877         High 1.746266776
## 1878         High 0.752350820
## 1879         High 1.634721814
## 1880          Low 0.373102537
## 1881         High 0.650845552
## 1882          Low 0.853908158
## 1883         High 0.676500707
## 1884          Low 0.819277477
## 1885         High 0.853908158
## 1886         High 0.676500707
## 1887         High 0.950900069
## 1888          Low 0.018582705
## 1889         High 0.216946648
## 1890         High 0.930822035
## 1891         High 0.153425006
## 1892         High 0.506954003
## 1893         High 0.073139478
## 1894         High 3.046881823
## 1895         High 0.045233131
## 1896          Low 0.150027324
## 1897         High 0.819277477
## 1898          Low 1.233160172
## 1899         High 1.607951026
## 1900         High 0.278344514
## 1901         High 0.318499048
## 1902         High 0.519275673
## 1903         High 0.484645323
## 1904          Low 0.018582705
## 1905         High 0.373102537
## 1906          Low 0.485812640
## 1907         High 0.484645323
## 1908         High 0.395410989
## 1909          Low 0.018582705
## 1910          Low 0.853908158
## 1911         High 0.676500707
## 1912          Low 2.727862957
## 1913         High 0.853908158
## 1914         High 0.676500707
## 1915         High 0.396578297
## 1916          Low 0.018582705
## 1917         High 3.046881823
## 1918         High 0.045233131
## 1919          Low 1.355859516
## 1920          Low 0.324024217
## 1921         High 0.396578297
## 1922         High 0.138562564
## 1923         High 0.930822035
## 1924          Low 0.138562564
## 1925         High 0.153425006
## 1926          Low 0.630819500
## 1927         High 0.819277477
## 1928          Low 1.355859516
## 1929          Low 0.324024217
## 1930          Low 0.396578297
## 1931          Low 0.395410989
## 1932          Low 0.396578297
## 1933         High 1.143924323
## 1934          Low 0.306177677
## 1935         High 0.853908158
## 1936          Low 0.676500707
## 1937          Low 0.396578297
## 1938          Low 0.853908158
## 1939         High 0.676500707
## 1940         High 0.018582705
## 1941         High 0.425244750
## 1942          Low 2.515927367
## 1943         High 1.302317978
## 1944          Low 0.738965498
## 1945          Low 2.303991798
## 1946          Low 0.876217068
## 1947         High 0.791443245
## 1948          Low 0.573880202
## 1949         High 0.796968584
## 1950         High 0.619665097
## 1951         High 0.819277477
## 1952          Low 0.819277477
## 1953          Low 2.042976452
## 1954          Low 0.423348522
## 1955         High 0.018582705
## 1956          Low 0.433112407
## 1957         High 1.634721814
## 1958         High 0.551571446
## 1959         High 0.865062612
## 1960          Low 0.853908158
## 1961         High 0.676500707
## 1962         High 0.216946648
## 1963          Low 0.162347266
## 1964          Low 0.573880202
## 1965          Low 0.039667589
## 1966          Low 0.183486280
## 1967         High 0.050853050
## 1968          Low 0.616489981
## 1969          Low 0.839890900
## 1970          Low 0.117738011
## 1971         High 0.506954003
## 1972         High 0.261561731
## 1973         High 0.175619381
## 1974         High 0.640806583
## 1975         High 1.199696725
## 1976         High 0.581740156
## 1977         High 1.576718442
## 1978          Low 0.151194466
## 1979         High 2.638626917
## 1980          Low 1.300087080
## 1981         High 0.418552185
## 1982         High 0.672931293
## 1983         High 0.417719503
## 1984          Low 1.634721814
## 1985         High 0.261561731
## 1986          Low 0.563893143
## 1987         High 0.216946648
## 1988          Low 0.506954003
## 1989         High 0.018582705
## 1990         High 1.369244902
## 1991          Low 0.910744005
## 1992          Low 0.863895283
## 1993         High 1.369244902
## 1994         High 0.910744005
## 1995         High 0.707733092
## 1996          Low 0.697745993
## 1997         High 1.085921043
## 1998         High 0.766293868
## 1999          Low 1.933662349
## 2000          Low 0.100959677
## 2001         High 0.596188979
## 2002         High 2.192446772
## 2003         High 0.730041951
## 2004          Low 0.742363712
## 2005          Low 0.373102537
## 2006          Low 0.272715653
## 2007          Low 0.853908158
## 2008          Low 0.296190916
## 2009          Low 0.150027324
## 2010          Low 1.411631960
## 2011          Low 1.969356749
## 2012          Low 0.296190916
## 2013          Low 1.969356749
## 2014          Low 0.296190916
## 2015          Low 1.607951026
## 2016          Low 0.278344514
## 2017          Low 0.216946648
## 2018          Low 0.998916160
## 2019          Low 2.515927367
## 2020          Low 1.402708369
## 2021         High 0.038554888
## 2022          Low 0.153425006
## 2023          Low 1.199696725
## 2024          Low 2.460154846
## 2025         High 1.793115665
## 2026         High 0.435566351
## 2027         High 0.340807296
## 2028          Low 0.276061839
## 2029         High 1.607951026
## 2030         High 0.278344514
## 2031          Low 0.039719350
## 2032          Low 0.798507897
## 2033          Low 0.969862660
## 2034          Low 3.196352211
## 2035         High 0.385424060
## 2036          Low 1.355859516
## 2037          Low 0.324024217
## 2038          Low 0.296190916
## 2039         High 0.596188979
## 2040          Low 0.421117667
## 2041         High 3.062498132
## 2042          Low 0.618497773
## 2043          Low 0.987761691
## 2044          Low 0.657538199
## 2045          Low 1.188542243
## 2046          Low 0.657538199
## 2047         High 1.010070629
## 2048          Low 0.930822035
## 2049          Low 2.020667450
## 2050          Low 0.592894545
## 2051         High 0.150027324
## 2052         High 0.496966977
## 2053         High 1.634721814
## 2054         High 0.496966977
## 2055          Low 0.055257058
## 2056          Low 0.428873779
## 2057          Low 0.965452758
## 2058          Low 0.261561731
## 2059          Low 0.720226052
## 2060          Low 0.889602416
## 2061          Low 0.395410989
## 2062          Low 0.349678740
## 2063         High 0.865062612
## 2064         High 0.889602416
## 2065         High 0.551571446
## 2066          Low 0.819277477
## 2067         High 1.478558905
## 2068         High 0.676500707
## 2069         High 2.527081871
## 2070         High 1.076997463
## 2071         High 0.811521247
## 2072          Low 0.310639305
## 2073         High 0.150027324
## 2074          Low 0.766293868
## 2075          Low 0.083120467
## 2076          Low 0.018582705
## 2077         High 1.606835577
## 2078          Low 0.317331756
## 2079          Low 1.500867889
## 2080          Low 0.296190916
## 2081         High 0.738965498
## 2082          Low 0.965452758
## 2083         High 0.206960310
## 2084          Low 0.018582705
## 2085          Low 0.742363712
## 2086          Low 0.819277477
## 2087          Low 0.889602416
## 2088          Low 1.369244902
## 2089          Low 0.910744005
## 2090         High 0.707733092
## 2091          Low 2.248219284
## 2092         High 0.463503991
## 2093         High 1.369244902
## 2094         High 0.910744005
## 2095         High 1.199696725
## 2096         High 0.117738011
## 2097          Low 0.506954003
## 2098         High 1.846657256
## 2099          Low 0.448951506
## 2100         High 0.596188979
## 2101         High 0.150027324
## 2102         High 0.003893799
## 2103          Low 0.596188979
## 2104         High 0.296190916
## 2105         High 2.080901755
## 2106          Low 0.296190916
## 2107          Low 1.634721814
## 2108         High 4.399031252
## 2109         High 2.880679683
## 2110         High 1.076997463
## 2111         High 0.385424060
## 2112         High 1.500867889
## 2113          Low 0.296190916
## 2114         High 0.251575127
## 2115         High 0.507005887
## 2116         High 0.427535265
## 2117          Low 0.038554888
## 2118         High 0.506954003
## 2119          Low 1.143924323
## 2120         High 0.830431926
## 2121         High 1.590103835
## 2122         High 0.340807296
## 2123         High 0.003893799
## 2124         High 0.742363712
## 2125          Low 0.596188979
## 2126         High 0.791443245
## 2127         High 0.920834903
## 2128         High 0.261561731
## 2129          Low 0.930822035
## 2130         High 0.184653486
## 2131          Low 0.150027324
## 2132          Low 0.484645323
## 2133          Low 0.742363712
## 2134          Low 0.073139478
## 2135          Low 0.428873779
## 2136          Low 0.908513112
## 2137         High 2.051900052
## 2138         High 0.611805133
## 2139         High 0.889602416
## 2140          Low 3.046881823
## 2141          Low 0.045233131
## 2142          Low 0.373102537
## 2143         High 0.454216338
## 2144          Low 0.930822035
## 2145         High 0.039667589
## 2146          Low 0.596188979
## 2147         High 0.417719503
## 2148         High 1.411631960
## 2149         High 0.930822035
## 2150          Low 0.786981468
## 2151         High 0.451182367
## 2152         High 0.421117667
## 2153         High 0.546046144
## 2154         High 0.239254052
## 2155         High 0.965452758
## 2156          Low 0.296190916
## 2157         High 0.150027324
## 2158          Low 0.707733092
## 2159         High 0.296190916
## 2160         High 0.646383787
## 2161         High 0.239254052
## 2162          Low 0.073139478
## 2163         High 0.639021877
## 2164         High 0.105419902
## 2165          Low 0.819277477
## 2166          Low 0.345217075
## 2167         High 1.456249922
## 2168         High 0.987761691
## 2169          Low 0.314037411
## 2170          Low 1.429479144
## 2171         High 0.435566351
## 2172          Low 1.429479144
## 2173         High 0.435566351
## 2174         High 0.616266893
## 2175          Low 0.484645323
## 2176          Low 0.839489340
## 2177         High 2.303991798
## 2178          Low 1.355859516
## 2179         High 0.324024217
## 2180         High 0.261561731
## 2181         High 0.853908158
## 2182          Low 0.676500707
## 2183         High 1.634721814
## 2184          Low 0.540417076
## 2185         High 0.930822035
## 2186         High 0.421117667
## 2187         High 0.041945205
## 2188         High 0.726747506
## 2189         High 1.014532417
## 2190         High 0.275070954
## 2191         High 0.271652141
## 2192          Low 0.076208782
## 2193         High 0.396578297
## 2194         High 4.579511204
## 2195         High 0.831599255
## 2196         High 1.032379570
## 2197         High 0.276069105
## 2198          Low 0.328485864
## 2199         High 0.742363712
## 2200         High 0.819277477
## 2201         High 0.296190916
## 2202          Low 0.819277477
## 2203          Low 0.484697207
## 2204          Low 0.783583251
## 2205         High 0.484697207
## 2206         High 0.783583251
## 2207          Low 1.209958848
## 2208          Low 0.314037411
## 2209          Low 0.117738011
## 2210          Low 0.506954003
## 2211          Low 1.411631960
## 2212         High 0.239254052
## 2213         High 1.411631960
## 2214         High 0.373102537
## 2215          Low 1.411631960
## 2216         High 0.296190916
## 2217          Low 0.965452758
## 2218         High 0.261561731
## 2219          Low 0.506352259
## 2220         High 0.428873779
## 2221         High 3.196352211
## 2222          Low 0.385424060
## 2223          Low 0.889602416
## 2224          Low 3.847106177
## 2225          Low 2.756195400
## 2226         High 3.847106177
## 2227          Low 2.426468244
## 2228         High 0.182147890
## 2229         High 0.846048158
## 2230          Low 2.051900052
## 2231          Low 0.611805133
## 2232         High 3.232938994
## 2233         High 2.165229787
## 2234         High 0.418745696
## 2235         High 0.819277477
## 2236         High 3.232938994
## 2237         High 1.806947242
## 2238         High 0.038554888
## 2239         High 3.232938994
## 2240         High 2.165229787
## 2241         High 0.053303632
## 2242         High 0.273882930
## 2243         High 0.930822035
## 2244         High 0.273882930
## 2245          Low 0.965452758
## 2246         High 0.373102537
## 2247          Low 3.232938994
## 2248         High 2.165229787
## 2249         High 3.046881823
## 2250         High 0.045233131
## 2251         High 0.340807296
## 2252         High 1.076997463
## 2253         High 0.296190916
## 2254         High 3.847106177
## 2255          Low 2.426468244
## 2256         High 2.884026034
## 2257         High 0.340807296
## 2258          Low 0.182147890
## 2259          Low 0.846048158
## 2260         High 0.373102537
## 2261          Low 0.296190916
## 2262         High 0.889602416
## 2263          Low 0.451182367
## 2264         High 1.355859516
## 2265         High 0.324024217
## 2266         High 3.991222422
## 2267         High 2.880679683
## 2268         High 0.038554888
## 2269         High 1.634721814
## 2270         High 2.248219284
## 2271         High 0.463503991
## 2272          Low 0.943143828
## 2273          Low 0.038554888
## 2274         High 0.150027324
## 2275          Low 0.819277477
## 2276         High 0.930822035
## 2277          Low 0.124428997
## 2278         High 0.734503725
## 2279         High 0.791443245
## 2280         High 0.819277477
## 2281          Low 0.707733092
## 2282         High 0.791443245
## 2283         High 0.396578297
## 2284         High 2.736786561
## 2285         High 0.616266893
## 2286         High 1.085921043
## 2287         High 0.594404276
## 2288         High 0.904274418
## 2289          Low 0.073139478
## 2290          Low 0.261561731
## 2291          Low 2.515927367
## 2292          Low 1.302317978
## 2293         High 0.939931343
## 2294          Low 0.941084141
## 2295         High 0.519275673
## 2296          Low 0.779121474
## 2297         High 3.232938994
## 2298          Low 1.806947242
## 2299         High 0.819277477
## 2300          Low 0.428873779
## 2301          Low 2.527081871
## 2302          Low 0.296190916
## 2303          Low 3.046881823
## 2304          Low 0.045233131
## 2305          Low 0.411078826
## 2306          Low 0.421065784
## 2307          Low 1.793115665
## 2308          Low 0.435566351
## 2309         High 1.355859516
## 2310          Low 0.324024217
## 2311         High 1.478558905
## 2312         High 0.676500707
## 2313          Low 0.791443245
## 2314          Low 2.051900052
## 2315          Low 0.611805133
## 2316          Low 0.803713135
## 2317          Low 0.099844642
## 2318          Low 0.630819500
## 2319          Low 0.038554888
## 2320          Low 2.446769441
## 2321          Low 0.850643792
## 2322          Low 0.430041091
## 2323          Low 1.512022381
## 2324         High 0.251575127
## 2325         High 0.930822035
## 2326          Low 1.065508354
## 2327          Low 2.446769441
## 2328         High 0.850643792
## 2329          Low 0.791443245
## 2330         High 0.296190916
## 2331         High 0.819277477
## 2332         High 1.590103835
## 2333          Low 0.073139478
## 2334         High 0.056727684
## 2335          Low 0.430189985
## 2336         High 0.396578297
## 2337          Low 0.349730623
## 2338         High 0.881742412
## 2339         High 0.428873779
## 2340         High 1.846657256
## 2341          Low 0.448951506
## 2342         High 3.196352211
## 2343          Low 0.385424060
## 2344         High 1.456249922
## 2345          Low 0.150027324
## 2346          Low 0.484645323
## 2347          Low 0.117738011
## 2348         High 0.095436465
## 2349         High 0.908513112
## 2350         High 0.707733092
## 2351          Low 1.217049852
## 2352         High 0.581740156
## 2353         High 0.935283820
## 2354         High 1.411631960
## 2355          Low 0.507005887
## 2356          Low 0.427535265
## 2357          Low 0.308408490
## 2358          Low 0.950900069
## 2359          Low 0.965452758
## 2360          Low 0.261561731
## 2361          Low 0.596188979
## 2362         High 0.819277477
## 2363         High 2.756195400
## 2364         High 1.488151768
## 2365         High 0.358653963
## 2366          Low 2.147828764
## 2367          Low 0.060828063
## 2368          Low 0.451182367
## 2369          Low 0.742363712
## 2370         High 0.038554888
## 2371          Low 1.634721814
## 2372         High 0.853908158
## 2373          Low 1.333550540
## 2374          Low 3.232938994
## 2375          Low 2.165229787
## 2376         High 3.232938994
## 2377         High 2.165229787
## 2378         High 0.283869622
## 2379         High 3.847106177
## 2380         High 2.756195400
## 2381         High 3.232938994
## 2382          Low 2.165229787
## 2383          Low 3.847106177
## 2384          Low 2.426468244
## 2385          Low 0.053303632
## 2386         High 3.196352211
## 2387          Low 0.965452758
## 2388         High 1.500867889
## 2389          Low 0.296190916
## 2390         High 2.736786561
## 2391          Low 0.616266893
## 2392          Low 3.232938994
## 2393          Low 1.806947242
## 2394         High 2.165229787
## 2395         High 0.709792773
## 2396          Low 0.440028067
## 2397         High 0.474658311
## 2398         High 0.140041938
## 2399          Low 3.847106177
## 2400          Low 2.426468244
## 2401         High 0.653128318
## 2402         High 0.060828063
## 2403         High 0.296190916
## 2404         High 0.930822035
## 2405         High 1.411631960
## 2406          Low 0.448951506
## 2407          Low 2.170137768
## 2408          Low 0.898525983
## 2409          Low 0.407732548
## 2410          Low 0.596188979
## 2411         High 0.104356700
## 2412          Low 0.791443245
## 2413         High 0.104356700
## 2414          Low 0.965452758
## 2415         High 0.261561731
## 2416          Low 1.590103835
## 2417         High 0.350794157
## 2418          Low 0.396578297
## 2419         High 2.527081871
## 2420         High 1.031487213
## 2421         High 0.778229119
## 2422         High 0.525871787
## 2423         High 4.088712824
## 2424         High 1.300087080
## 2425         High 2.192446772
## 2426         High 0.160116687
## 2427         High 1.188542243
## 2428          Low 0.524800968
## 2429          Low 0.786981468
## 2430          Low 0.451182367
## 2431         High 1.188542243
## 2432          Low 0.524800968
## 2433         High 3.530987426
## 2434          Low 1.070304778
## 2435          Low 0.889602416
## 2436          Low 1.210851207
## 2437         High 0.707733092
## 2438          Low 0.519275673
## 2439         High 0.596188979
## 2440          Low 0.771365250
## 2441         High 0.875049738
## 2442         High 0.396578297
## 2443          Low 0.519275673
## 2444          Low 0.596188979
## 2445          Low 0.396578297
## 2446          Low 0.003893799
## 2447          Low 0.117738011
## 2448          Low 0.796968584
## 2449         High 0.038554888
## 2450          Low 0.395410989
## 2451         High 0.396578297
## 2452         High 1.411631960
## 2453          Low 0.519275673
## 2454          Low 0.373102537
## 2455         High 0.771365250
## 2456          Low 0.875049738
## 2457          Low 0.067566473
## 2458          Low 2.515927367
## 2459         High 1.302317978
## 2460         High 4.088712824
## 2461          Low 0.296190916
## 2462          Low 0.150027324
## 2463          Low 0.519275673
## 2464          Low 0.616489981
## 2465         High 0.519275673
## 2466         High 0.261561731
## 2467         High 0.819277477
## 2468          Low 0.073139478
## 2469         High 0.428873779
## 2470          Low 0.358653963
## 2471         High 0.018582705
## 2472         High 0.819277477
## 2473         High 0.965452758
## 2474          Low 0.261561731
## 2475         High 0.296190916
## 2476          Low 0.373102537
## 2477         High 0.261561731
## 2478          Low 0.596188979
## 2479          Low 1.523176874
## 2480          Low 0.596188979
## 2481         High 0.618497773
## 2482          Low 2.736786561
## 2483         High 0.616266893
## 2484         High 0.707733092
## 2485          Low 4.177948892
## 2486          Low 0.240421310
## 2487         High 1.634721814
## 2488          Low 1.188542243
## 2489         High 0.006744347
## 2490         High 0.519275673
## 2491         High 0.073139478
## 2492         High 0.184653486
## 2493         High 0.653128318
## 2494         High 0.060828063
## 2495         High 0.296190916
## 2496         High 0.596188979
## 2497          Low 0.038554888
## 2498          Low 1.778614818
## 2499         High 0.201331679
## 2500          Low 1.300087080
## 2501          Low 0.038554888
## 2502          Low 1.355859516
## 2503         High 0.324024217
## 2504          Low 0.791443245
## 2505         High 4.088712824
## 2506          Low 0.296190916
## 2507          Low 0.206960310
## 2508         High 0.358653963
## 2509         High 2.571699888
## 2510         High 0.050853050
## 2511         High 0.742363712
## 2512         High 0.373102537
## 2513          Low 0.038554888
## 2514         High 0.819277477
## 2515          Low 0.073139478
## 2516          Low 0.396578297
## 2517          Low 0.396578297
## 2518         High 0.653128318
## 2519         High 0.060828063
## 2520         High 0.018582705
## 2521         High 0.283869622
## 2522         High 0.707733092
## 2523         High 0.038554888
## 2524         High 0.171269666
## 2525         High 1.933662349
## 2526         High 0.100959677
## 2527         High 0.484645323
## 2528         High 0.600791855
## 2529          Low 0.385424060
## 2530         High 0.562725822
## 2531          Low 0.396578297
## 2532         High 0.018582705
## 2533          Low 0.296190916
## 2534          Low 1.634721814
## 2535          Low 0.261561731
## 2536         High 0.847163603
## 2537          Low 0.889602416
## 2538          Low 2.252681085
## 2539          Low 0.863895283
## 2540         High 0.903880123
## 2541          Low 0.242652069
## 2542          Low 0.573880202
## 2543          Low 0.764672586
## 2544          Low 0.038554888
## 2545          Low 0.519275673
## 2546         High 0.183486280
## 2547          Low 0.150027324
## 2548          Low 0.819277477
## 2549          Low 0.906282221
## 2550          Low 0.596188979
## 2551          Low 3.232938994
## 2552         High 1.806947242
## 2553          Low 2.192446772
## 2554          Low 0.407732548
## 2555          Low 0.908513112
## 2556         High 1.130538949
## 2557          Low 0.636344819
## 2558          Low 0.853908158
## 2559          Low 0.676500707
## 2560         High 0.117738011
## 2561         High 0.506954003
## 2562         High 0.819277477
## 2563          Low 1.634721814
## 2564          Low 2.736786561
## 2565          Low 0.616266893
## 2566         High 1.790884765
## 2567          Low 0.407732548
## 2568         High 0.883973304
## 2569          Low 0.395410989
## 2570         High 0.038554888
## 2571          Low 0.484645323
## 2572          Low 0.686982855
## 2573          Low 1.188542243
## 2574         High 0.150027324
## 2575         High 1.813193761
## 2576         High 0.150027324
## 2577          Low 0.939120955
## 2578         High 0.953130962
## 2579         High 0.479120042
## 2580         High 0.792506806
## 2581         High 1.188542243
## 2582         High 0.150027324
## 2583         High 1.857811755
## 2584         High 0.742363712
## 2585          Low 0.173500286
## 2586         High 0.853908158
## 2587          Low 0.676500707
## 2588         High 0.153425006
## 2589         High 0.853908158
## 2590         High 0.273882930
## 2591         High 0.018582705
## 2592         High 0.853908158
## 2593          Low 0.676500707
## 2594         High 4.013037754
## 2595          Low 0.707733092
## 2596         High 2.083132655
## 2597          Low 0.415488649
## 2598         High 0.296190916
## 2599          Low 0.038554888
## 2600         High 0.840694021
## 2601         High 1.188542243
## 2602         High 0.150027324
## 2603          Low 0.484645323
## 2604          Low 0.930822035
## 2605          Low 0.484645323
## 2606          Low 0.930822035
## 2607         High 1.957086799
## 2608         High 0.287267702
## 2609          Low 2.660935926
## 2610          Low 0.385424060
## 2611          Low 0.396578297
## 2612          Low 0.018582705
## 2613          Low 2.080901755
## 2614          Low 1.411631960
## 2615         High 0.150027324
## 2616         High 1.188542243
## 2617          Low 0.663115407
## 2618          Low 0.791443245
## 2619         High 0.396578297
## 2620         High 2.036283751
## 2621         High 0.306177677
## 2622          Low 2.638626917
## 2623         High 0.596188979
## 2624         High 0.261561731
## 2625         High 0.707733092
## 2626         High 0.475721860
## 2627         High 1.634721814
## 2628         High 1.612412824
## 2629         High 0.018582705
## 2630          Low 1.933662349
## 2631         High 0.100959677
## 2632         High 0.117738011
## 2633          Low 0.194639615
## 2634          Low 0.697745993
## 2635          Low 1.456249922
## 2636          Low 0.631934941
## 2637          Low 1.634721814
## 2638          Low 0.697745993
## 2639         High 1.411631960
## 2640          Low 0.296190916
## 2641         High 0.742363712
## 2642          Low 0.373102537
## 2643         High 0.930822035
## 2644         High 0.060828063
## 2645         High 0.408796091
## 2646          Low 0.018582705
## 2647          Low 1.590103835
## 2648          Low 0.073139478
## 2649          Low 0.395410989
## 2650         High 0.296190916
## 2651          Low 0.819277477
## 2652         High 0.358653963
## 2653          Low 1.976049449
## 2654         High 0.071972978
## 2655          Low 0.408796091
## 2656          Low 1.188542243
## 2657          Low 0.819277477
## 2658          Low 1.369244902
## 2659          Low 0.910744005
## 2660         High 0.216946648
## 2661          Low 0.073139478
## 2662          Low 1.130538949
## 2663          Low 1.369244902
## 2664         High 0.910744005
## 2665         High 0.373102537
## 2666          Low 2.907896677
## 2667          Low 0.356817412
## 2668         High 0.373102537
## 2669          Low 0.625190414
## 2670         High 0.791443245
## 2671          Low 0.462336676
## 2672         High 3.274433759
## 2673         High 0.138874829
## 2674         High 1.253706731
## 2675         High 0.372098658
## 2676         High 1.369244902
## 2677          Low 0.910744005
## 2678          Low 0.853908158
## 2679          Low 0.676500707
## 2680         High 1.576718442
## 2681          Low 0.532660904
## 2682          Low 2.370918817
## 2683          Low 0.150027324
## 2684          Low 1.634721814
## 2685          Low 0.117738011
## 2686          Low 0.373102537
## 2687         High 1.032379570
## 2688          Low 0.462336676
## 2689         High 0.036329989
## 2690          Low 0.596188979
## 2691         High 1.210851207
## 2692          Low 0.529262712
## 2693         High 0.697745993
## 2694         High 0.519275673
## 2695         High 0.417719503
## 2696         High 2.772480978
## 2697         High 0.539524727
## 2698          Low 1.606835577
## 2699         High 0.038554888
## 2700         High 0.853908158
## 2701          Low 0.930822035
## 2702          Low 0.889602416
## 2703         High 0.073139478
## 2704          Low 0.484645323
## 2705         High 0.261561731
## 2706         High 0.596188979
## 2707         High 1.355859516
## 2708          Low 0.324024217
## 2709         High 1.355859516
## 2710          Low 0.324024217
## 2711         High 0.738965498
## 2712         High 0.086465067
## 2713         High 0.819277477
## 2714         High 2.660935926
## 2715          Low 0.385424060
## 2716          Low 0.596188979
## 2717          Low 1.027025424
## 2718          Low 0.389164616
## 2719         High 0.018582705
## 2720         High 0.417719503
## 2721         High 0.018582705
## 2722          Low 0.540417076
## 2723         High 1.196350380
## 2724         High 0.266023294
## 2725          Low 1.355859516
## 2726          Low 0.324024217
## 2727          Low 0.730041951
## 2728          Low 0.417719503
## 2729         High 0.738965498
## 2730         High 0.194639615
## 2731         High 0.774659698
## 2732          Low 0.117738011
## 2733         High 0.506954003
## 2734          Low 1.036841359
## 2735          Low 0.162347266
## 2736          Low 0.573880202
## 2737         High 0.853908158
## 2738          Low 0.676500707
## 2739          Low 0.519275673
## 2740          Low 0.596188979
## 2741         High 0.738965498
## 2742          Low 0.018582705
## 2743          Low 0.930822035
## 2744          Low 0.430041091
## 2745          Low 0.738965498
## 2746          Low 0.906282221
## 2747          Low 1.210851207
## 2748          Low 0.707733092
## 2749         High 0.173500286
## 2750         High 0.273882930
## 2751         High 0.930822035
## 2752          Low 0.296190916
## 2753          Low 0.373102537
## 2754          Low 0.816600409
## 2755         High 1.478558905
## 2756          Low 0.417719503
## 2757         High 0.296190916
## 2758          Low 0.373102537
## 2759         High 0.018582705
## 2760          Low 0.181255630
## 2761         High 1.523176874
## 2762         High 0.395410989
## 2763         High 0.707733092
## 2764         High 0.787821940
## 2765         High 0.948669176
## 2766         High 0.787821940
## 2767         High 1.456249922
## 2768          Low 0.143833763
## 2769         High 1.411631960
## 2770         High 0.908513112
## 2771         High 0.960957702
## 2772          Low 0.425229218
## 2773         High 1.634721814
## 2774         High 3.185197705
## 2775          Low 1.848888156
## 2776          Low 1.422786450
## 2777         High 0.607343374
## 2778          Low 1.411631960
## 2779         High 0.373102537
## 2780         High 0.269421353
## 2781         High 0.791443245
## 2782          Low 0.819277477
## 2783         High 1.545485860
## 2784          Low 0.596188979
## 2785         High 0.150027324
## 2786         High 0.484645323
## 2787         High 1.300087080
## 2788          Low 0.519275673
## 2789         High 2.152290565
## 2790          Low 0.046398370
## 2791         High 0.742363712
## 2792          Low 0.819277477
## 2793         High 0.117738011
## 2794          Low 0.506954003
## 2795          Low 0.422010009
## 2796          Low 0.144502913
## 2797         High 0.676500707
## 2798          Low 0.206960310
## 2799         High 0.484645323
## 2800          Low 1.277778109
## 2801         High 0.229267561
## 2802         High 3.151734185
## 2803         High 0.541584396
## 2804          Low 1.121615367
## 2805         High 0.328537746
## 2806         High 0.943143828
## 2807         High 0.430041091
## 2808         High 0.987761691
## 2809         High 0.066400118
## 2810          Low 0.475721860
## 2811         High 0.261561731
## 2812          Low 0.754581708
## 2813         High 2.210293975
## 2814          Low 0.716656635
## 2815          Low 2.284359872
## 2816         High 0.126659366
## 2817         High 0.150071935
## 2818          Low 0.965452758
## 2819          Low 0.462336676
## 2820          Low 1.590103835
## 2821          Low 0.853908158
## 2822          Low 0.676500707
## 2823         High 0.073139478
## 2824         High 0.819277477
## 2825          Low 0.206960310
## 2826          Low 0.720054847
## 2827         High 0.965452758
## 2828         High 0.430041091
## 2829         High 0.117738011
## 2830          Low 0.506954003
## 2831         High 2.527081871
## 2832         High 1.634721814
## 2833          Low 0.886204195
## 2834         High 0.296190916
## 2835         High 2.177053559
## 2836         High 0.750343022
## 2837         High 1.668185300
## 2838         High 0.396578297
## 2839          Low 0.930822035
## 2840         High 0.073139478
## 2841          Low 0.596188979
## 2842         High 1.976049449
## 2843          Low 0.071972978
## 2844          Low 1.217049852
## 2845          Low 0.086465067
## 2846          Low 0.358653963
## 2847          Low 0.630819500
## 2848         High 0.261561731
## 2849          Low 0.939931343
## 2850         High 0.941084141
## 2851          Low 0.540417076
## 2852         High 0.764672586
## 2853          Low 0.038554888
## 2854         High 2.103210758
## 2855         High 0.206960310
## 2856         High 0.908513112
## 2857         High 0.038554888
## 2858          Low 0.819277477
## 2859         High 0.930822035
## 2860         High 1.500867889
## 2861         High 0.296190916
## 2862         High 1.634721814
## 2863         High 2.103210758
## 2864          Low 0.127722686
## 2865          Low 2.192446772
## 2866          Low 0.519275673
## 2867         High 0.117738011
## 2868          Low 0.506954003
## 2869         High 0.194639615
## 2870         High 0.774659698
## 2871         High 0.596188979
## 2872         High 0.930822035
## 2873         High 2.152290565
## 2874         High 0.046398370
## 2875         High 0.853908158
## 2876         High 0.417719503
## 2877         High 0.953130962
## 2878         High 0.407732548
## 2879         High 0.819277477
## 2880         High 0.059765598
## 2881          Low 0.396578297
## 2882          Low 0.819277477
## 2883          Low 0.328485864
## 2884         High 1.634721814
## 2885          Low 0.408796091
## 2886          Low 0.819277477
## 2887          Low 0.573880202
## 2888         High 1.188542243
## 2889          Low 0.657538199
## 2890          Low 1.634721814
## 2891          Low 2.025129251
## 2892          Low 0.430041091
## 2893          Low 0.484645323
## 2894         High 0.819277477
## 2895         High 0.791443245
## 2896         High 1.110460890
## 2897         High 0.239254052
## 2898         High 0.707733092
## 2899         High 0.310639305
## 2900         High 1.634721814
## 2901         High 0.345217075
## 2902         High 2.807972134
## 2903         High 0.908513112
## 2904         High 0.908513112
## 2905          Low 0.819277477
## 2906         High 0.707733092
## 2907          Low 1.355859516
## 2908          Low 0.324024217
## 2909          Low 0.965452758
## 2910         High 2.466847548
## 2911         High 0.256036671
## 2912          Low 0.385424060
## 2913          Low 0.562725822
## 2914          Low 0.953130962
## 2915          Low 0.596188979
## 2916         High 0.653128318
## 2917          Low 0.060828063
## 2918          Low 1.478558905
## 2919         High 0.676500707
## 2920          Low 1.746266776
## 2921         High 0.296190916
## 2922          Low 0.675437149
## 2923         High 0.038554888
## 2924         High 0.210254494
## 2925         High 0.484697207
## 2926          Low 0.360832918
## 2927         High 0.296190916
## 2928         High 0.073139478
## 2929         High 0.484645323
## 2930         High 0.484645323
## 2931          Low 0.930822035
## 2932          Low 0.791443245
## 2933         High 3.339129900
## 2934          Low 0.338576466
## 2935         High 0.067566473
## 2936          Low 1.857811755
## 2937         High 0.373102537
## 2938          Low 0.105419902
## 2939         High 0.953130962
## 2940         High 1.277778109
## 2941         High 0.296190916
## 2942         High 1.634721814
## 2943          Low 0.261561731
## 2944          Low 0.073139478
## 2945         High 0.819277477
## 2946         High 0.519275673
## 2947          Low 0.596188979
## 2948          Low 0.519275673
## 2949          Low 0.596188979
## 2950          Low 0.519275673
## 2951          Low 0.596188979
## 2952          Low 0.519275673
## 2953          Low 0.596188979
## 2954          Low 0.519275673
## 2955          Low 0.596188979
## 2956          Low 1.411631960
## 2957          Low 0.853908158
## 2958         High 0.261561731
## 2959         High 0.519275673
## 2960          Low 0.596188979
## 2961          Low 0.519275673
## 2962         High 0.596188979
## 2963          Low 0.519275673
## 2964         High 0.596188979
## 2965         High 1.110460890
## 2966         High 0.239254052
## 2967          Low 4.088712824
## 2968          Low 0.296190916
## 2969          Low 1.634721814
## 2970          Low 0.853908158
## 2971          Low 4.088712824
## 2972          Low 0.296190916
## 2973          Low 0.003893799
## 2974          Low 2.515927367
## 2975          Low 1.302317978
## 2976         High 0.786981468
## 2977         High 0.459042266
## 2978         High 0.837124596
## 2979          Low 2.348609810
## 2980         High 0.495799659
## 2981         High 2.353071611
## 2982         High 0.495799659
## 2983          Low 0.511415743
## 2984         High 0.596188979
## 2985          Low 2.080901755
## 2986         High 0.519275673
## 2987          Low 0.373102537
## 2988          Low 0.819277477
## 2989          Low 0.296190916
## 2990         High 0.373102537
## 2991          Low 0.853908158
## 2992         High 0.261561731
## 2993         High 0.067566473
## 2994          Low 0.853908158
## 2995          Low 0.556033196
## 2996         High 2.192446772
## 2997         High 0.160116687
## 2998         High 1.188542243
## 2999         High 0.206960310
## 3000         High 0.608510697
## 3001         High 0.506954003
## 3002         High 0.373102537
## 3003          Low 0.707733092
## 3004          Low 0.273882930
## 3005          Low 0.930822035
## 3006         High 1.634721814
## 3007          Low 0.296190916
## 3008         High 0.018582705
## 3009          Low 0.296190916
## 3010         High 0.930822035
## 3011         High 0.261561731
## 3012         High 0.930822035
## 3013          Low 1.456249922
## 3014          Low 2.299529996
## 3015          Low 0.608510697
## 3016         High 0.791443245
## 3017         High 0.742363712
## 3018         High 0.484645323
## 3019          Low 2.099418227
## 3020         High 0.302273757
## 3021         High 0.184653486
## 3022          Low 0.596188979
## 3023         High 1.976049449
## 3024          Low 0.071972978
## 3025         High 0.261561731
## 3026         High 0.930822035
## 3027         High 0.261561731
## 3028          Low 0.596188979
## 3029          Low 0.540417076
## 3030         High 0.276061839
## 3031          Low 1.300087080
## 3032          Low 0.993338925
## 3033          Low 0.707733092
## 3034         High 1.233160172
## 3035         High 0.184653486
## 3036          Low 0.707733092
## 3037          Low 0.791443245
## 3038          Low 0.596188979
## 3039         High 0.062521870
## 3040         High 0.819277477
## 3041         High 4.635712672
## 3042         High 0.261561731
## 3043         High 0.791443245
## 3044          Low 0.720054847
## 3045          Low 0.883973304
## 3046          Low 0.600925708
## 3047          Low 0.883973304
## 3048          Low 0.373102537
## 3049          Low 0.819277477
## 3050          Low 0.819277477
## 3051         High 1.969356749
## 3052         High 0.283869622
## 3053          Low 0.965452758
## 3054          Low 0.970978107
## 3055         High 0.853908158
## 3056          Low 0.676500707
## 3057         High 0.296190916
## 3058         High 1.483020702
## 3059          Low 3.482130683
## 3060          Low 0.047682836
## 3061         High 0.540417076
## 3062         High 0.399255316
## 3063         High 1.873494980
## 3064          Low 0.775470084
## 3065          Low 0.580624717
## 3066          Low 0.038554888
## 3067         High 1.679339796
## 3068          Low 1.300087080
## 3069         High 1.976049449
## 3070         High 0.071972978
## 3071          Low 0.708900419
## 3072          Low 0.276069105
## 3073         High 0.369808158
## 3074          Low 0.053303632
## 3075         High 1.606835577
## 3076          Low 0.038554888
## 3077          Low 0.998916160
## 3078          Low 0.462336676
## 3079         High 0.317331756
## 3080          Low 1.143924323
## 3081         High 0.239254052
## 3082         High 1.121615367
## 3083          Low 0.328537746
## 3084          Low 2.736786561
## 3085         High 0.616266893
## 3086         High 1.121615367
## 3087         High 0.328537746
## 3088         High 2.080901755
## 3089         High 0.519275673
## 3090         High 2.083132655
## 3091         High 0.415488649
## 3092          Low 0.151194466
## 3093         High 0.819277477
## 3094          Low 0.018582705
## 3095          Low 0.853908158
## 3096          Low 0.261561731
## 3097         High 0.038554888
## 3098          Low 0.524890203
## 3099          Low 0.911078638
## 3100          Low 0.675437149
## 3101         High 0.038554888
## 3102          Low 0.358653963
## 3103          Low 0.930822035
## 3104          Low 0.484645323
## 3105         High 0.168541055
## 3106          Low 0.763505258
## 3107          Low 1.351397720
## 3108          Low 0.363115639
## 3109          Low 0.742363712
## 3110          Low 0.819277477
## 3111         High 2.299529996
## 3112          Low 0.608510697
## 3113         High 0.154042294
## 3114          Low 0.956254212
## 3115          Low 2.152290565
## 3116          Low 0.046398370
## 3117          Low 2.299529996
## 3118          Low 0.612972456
## 3119          Low 0.018582705
## 3120          Low 1.456249922
## 3121         High 0.707733092
## 3122          Low 0.556033196
## 3123         High 3.470753086
## 3124         High 0.237023297
## 3125         High 0.396578297
## 3126         High 2.935336762
## 3127          Low 0.568354895
## 3128          Low 0.184653486
## 3129         High 0.596188979
## 3130         High 0.965452758
## 3131         High 0.970978107
## 3132          Low 0.930822035
## 3133         High 0.408796091
## 3134         High 2.736786561
## 3135         High 0.616266893
## 3136          Low 0.073139478
## 3137          Low 0.819277477
## 3138          Low 0.540417076
## 3139         High 0.819277477
## 3140          Low 0.930822035
## 3141         High 0.791443245
## 3142         High 1.210851207
## 3143          Low 0.707733092
## 3144          Low 0.742363712
## 3145         High 0.073139478
## 3146          Low 0.596188979
## 3147          Low 2.527081871
## 3148          Low 1.411631960
## 3149          Low 0.920834903
## 3150          Low 0.016379571
## 3151          Low 0.073139478
## 3152          Low 0.373102537
## 3153         High 0.965452758
## 3154         High 0.296190916
## 3155         High 0.150027324
## 3156          Low 0.296190916
## 3157         High 0.742363712
## 3158         High 0.407732548
## 3159         High 0.150027324
## 3160         High 0.296190916
## 3161         High 0.819277477
## 3162         High 0.630819500
## 3163          Low 0.373102537
## 3164          Low 1.355859516
## 3165         High 0.324024217
## 3166         High 0.831599255
## 3167         High 0.239254052
## 3168         High 0.930822035
## 3169          Low 0.038554888
## 3170          Low 3.185197705
## 3171         High 1.848888156
## 3172          Low 1.411631960
## 3173         High 0.540417076
## 3174         High 0.296190916
## 3175         High 0.930822035
## 3176          Low 0.930822035
## 3177         High 0.374269841
## 3178         High 0.774659698
## 3179         High 1.166233282
## 3180          Low 1.121615367
## 3181         High 0.930822035
## 3182          Low 0.112496881
## 3183          Low 0.073139478
## 3184          Low 2.370918817
## 3185          Low 0.038554888
## 3186          Low 0.742363712
## 3187         High 0.596188979
## 3188          Low 0.261561731
## 3189         High 0.930822035
## 3190          Low 0.296190916
## 3191         High 0.852740829
## 3192          Low 1.199696725
## 3193         High 0.754581708
## 3194          Low 0.306177677
## 3195          Low 1.634721814
## 3196          Low 0.261561731
## 3197          Low 1.634721814
## 3198          Low 0.407732548
## 3199          Low 0.060828063
## 3200          Low 0.830431926
## 3201          Low 0.184653486
## 3202          Low 0.596188979
## 3203          Low 0.731990089
## 3204         High 0.905947587
## 3205         High 0.373102537
## 3206         High 0.261561731
## 3207          Low 0.930822035
## 3208          Low 0.273882930
## 3209          Low 0.551571446
## 3210         High 0.791443245
## 3211          Low 0.764672586
## 3212          Low 0.752350820
## 3213          Low 0.006744347
## 3214          Low 0.519275673
## 3215          Low 0.261561731
## 3216         High 0.172333097
## 3217          Low 1.300087080
## 3218         High 0.150027324
## 3219          Low 0.269421353
## 3220         High 0.519275673
## 3221         High 0.707733092
## 3222          Low 0.484645323
## 3223         High 1.969356749
## 3224          Low 2.096518057
## 3225          Low 0.809238474
## 3226          Low 1.422786450
## 3227          Low 0.607343374
## 3228          Low 0.930822035
## 3229          Low 0.261561731
## 3230          Low 1.567794847
## 3231          Low 0.886204195
## 3232          Low 0.786981468
## 3233         High 0.261561731
## 3234         High 0.363115639
## 3235         High 0.600925708
## 3236          Low 0.764672586
## 3237         High 0.886204195
## 3238          Low 0.018582705
## 3239         High 1.143924323
## 3240          Low 0.685424244
## 3241          Low 2.616317907
## 3242          Low 0.273882930
## 3243         High 0.819277477
## 3244         High 0.438807794
## 3245         High 1.188542243
## 3246          Low 0.069743750
## 3247         High 1.411631960
## 3248         High 0.819277477
## 3249         High 0.596188979
## 3250          Low 2.283378276
## 3251          Low 0.348682131
## 3252          Low 0.930822035
## 3253         High 0.707733092
## 3254          Low 0.296190916
## 3255         High 0.596188979
## 3256          Low 0.646383787
## 3257          Low 0.150027324
## 3258          Low 0.296190916
## 3259         High 0.930822035
## 3260         High 0.154042294
## 3261         High 0.956254212
## 3262          Low 0.707733092
## 3263         High 1.210851207
## 3264         High 0.127722686
## 3265         High 1.456249922
## 3266         High 0.730041951
## 3267         High 0.150027324
## 3268          Low 0.707733092
## 3269         High 0.112496881
## 3270          Low 0.261561731
## 3271         High 0.930822035
## 3272          Low 1.121615367
## 3273         High 0.930822035
## 3274         High 0.707733092
## 3275         High 0.908513112
## 3276          Low 0.373102537
## 3277         High 0.484697207
## 3278          Low 0.360832918
## 3279         High 0.296190916
## 3280          Low 0.373102537
## 3281         High 0.345217075
## 3282         High 0.791443245
## 3283         High 1.634721814
## 3284         High 0.738965498
## 3285         High 0.407732548
## 3286          Low 0.060828063
## 3287         High 0.094269618
## 3288         High 0.365346478
## 3289         High 1.456249922
## 3290         High 0.596188979
## 3291         High 1.590103835
## 3292          Low 0.073139478
## 3293         High 0.373102537
## 3294         High 0.428873779
## 3295         High 0.184653486
## 3296          Low 0.596188979
## 3297         High 0.908513112
## 3298         High 2.214755776
## 3299         High 0.452349681
## 3300         High 0.814867582
## 3301          Low 0.181255630
## 3302          Low 3.713921352
## 3303         High 1.396015675
## 3304          Low 0.965452758
## 3305         High 0.742363712
## 3306          Low 2.466847548
## 3307          Low 0.256036671
## 3308          Low 0.519275673
## 3309         High 0.779121474
## 3310          Low 0.296190916
## 3311         High 0.373102537
## 3312         High 2.907896677
## 3313         High 0.356817412
## 3314          Low 0.345217075
## 3315         High 0.484645323
## 3316          Low 0.853908158
## 3317         High 0.261561731
## 3318          Low 0.965452758
## 3319         High 1.355859516
## 3320         High 0.324024217
## 3321         High 0.261561731
## 3322          Low 0.930822035
## 3323         High 0.848279048
## 3324         High 0.930822035
## 3325         High 0.296190916
## 3326          Low 0.819277477
## 3327         High 0.596188979
## 3328         High 0.038554888
## 3329          Low 1.976049449
## 3330          Low 0.083120467
## 3331         High 0.373102537
## 3332         High 0.428873779
## 3333          Low 1.411631960
## 3334          Low 0.296190916
## 3335         High 0.653128318
## 3336         High 0.060828063
## 3337         High 0.150027324
## 3338          Low 0.484645323
## 3339         High 0.018582705
## 3340         High 0.930822035
## 3341         High 0.956142668
## 3342         High 0.306177677
## 3343          Low 0.475751435
## 3344          Low 0.154042294
## 3345          Low 0.956254212
## 3346          Low 0.428873779
## 3347         High 1.976049449
## 3348         High 0.071972978
## 3349          Low 0.828201036
## 3350          Low 0.930822035
## 3351         High 0.073139478
## 3352          Low 0.738965498
## 3353          Low 0.796968584
## 3354          Low 1.976049449
## 3355         High 0.071972978
## 3356         High 0.742363712
## 3357          Low 0.373102537
## 3358          Low 0.596188979
## 3359         High 0.930822035
## 3360         High 0.730041951
## 3361         High 0.073139478
## 3362          Low 0.819277477
## 3363         High 1.746266776
## 3364         High 1.076997463
## 3365         High 0.596188979
## 3366          Low 1.456249922
## 3367          Low 0.423297562
## 3368          Low 0.319302143
## 3369         High 0.484645323
## 3370          Low 0.328485864
## 3371         High 0.511415743
## 3372         High 1.121615367
## 3373         High 0.930822035
## 3374         High 1.590103835
## 3375         High 0.073139478
## 3376          Low 0.930822035
## 3377         High 0.421117667
## 3378         High 1.456249922
## 3379         High 1.182920385
## 3380         High 0.599936855
## 3381         High 0.009845490
## 3382          Low 0.484645323
## 3383          Low 0.073139478
## 3384         High 0.840694021
## 3385          Low 0.738965498
## 3386         High 0.315100938
## 3387          Low 0.146012390
## 3388          Low 4.224351647
## 3389          Low 0.588878964
## 3390         High 0.738965498
## 3391          Low 0.441195380
## 3392         High 1.634721814
## 3393          Low 0.853908158
## 3394         High 0.173500286
## 3395          Low 0.373102537
## 3396         High 1.969356749
## 3397          Low 0.596188979
## 3398         High 0.261561731
## 3399         High 0.819277477
## 3400         High 0.296190916
## 3401          Low 0.261561731
## 3402         High 0.430041091
## 3403          Low 0.596188979
## 3404         High 0.540417076
## 3405          Low 2.515927367
## 3406         High 1.302317978
## 3407         High 0.930822035
## 3408         High 0.883973304
## 3409          Low 0.408796091
## 3410         High 0.519275673
## 3411          Low 0.596188979
## 3412         High 0.930822035
## 3413          Low 0.791443245
## 3414         High 0.296190916
## 3415          Low 0.930822035
## 3416         High 0.038554888
## 3417          Low 0.407732548
## 3418          Low 2.466847548
## 3419          Low 0.256036671
## 3420         High 0.060828063
## 3421          Low 1.976049449
## 3422          Low 0.071972978
## 3423          Low 0.596188979
## 3424         High 0.886204195
## 3425          Low 0.840694021
## 3426         High 0.146012390
## 3427          Low 1.411631960
## 3428         High 0.819277477
## 3429          Low 0.539665845
## 3430         High 0.819277477
## 3431          Low 0.908513112
## 3432         High 0.023005035
## 3433         High 0.484645323
## 3434          Low 0.596188979
## 3435          Low 0.395410989
## 3436         High 0.140041938
## 3437          Low 1.991665749
## 3438         High 0.183486280
## 3439          Low 0.440081337
## 3440         High 1.456249922
## 3441          Low 0.819277477
## 3442         High 0.511415743
## 3443          Low 1.634721814
## 3444         High 0.373102537
## 3445          Low 1.355859516
## 3446         High 0.324024217
## 3447          Low 1.182920385
## 3448         High 0.599936855
## 3449         High 0.511415743
## 3450          Low 1.456249922
## 3451          Low 2.515927367
## 3452          Low 1.302317978
## 3453          Low 0.707733092
## 3454          Low 0.428873779
## 3455          Low 0.039719350
## 3456          Low 1.411631960
## 3457         High 0.596188979
## 3458          Low 0.738965498
## 3459         High 0.038554888
## 3460         High 0.531545468
## 3461         High 0.745658159
## 3462          Low 0.296190916
## 3463         High 0.819277477
## 3464         High 0.562725822
## 3465         High 0.261561731
## 3466          Low 0.930822035
## 3467         High 0.261561731
## 3468          Low 0.847163603
## 3469         High 0.630819500
## 3470          Low 0.901820437
## 3471         High 0.506352259
## 3472         High 0.743427272
## 3473         High 1.634721814
## 3474          Low 0.261561731
## 3475          Low 0.009845490
## 3476          Low 3.419442352
## 3477         High 0.819277477
## 3478          Low 0.743427272
## 3479          Low 1.411631960
## 3480          Low 0.261561731
## 3481         High 0.018582705
## 3482         High 0.738965498
## 3483         High 1.355859516
## 3484          Low 0.324024217
## 3485          Low 2.750171967
## 3486          Low 1.166233282
## 3487          Low 0.819277477
## 3488          Low 0.839890900
## 3489         High 0.908513112
## 3490          Low 0.828201036
## 3491          Low 1.456249922
## 3492          Low 0.018582705
## 3493         High 0.819277477
## 3494         High 0.930822035
## 3495         High 0.819277477
## 3496         High 0.318499048
## 3497         High 1.456249922
## 3498         High 0.018582705
## 3499         High 0.296190916
## 3500          Low 0.318499048
## 3501         High 0.396578297
## 3502          Low 0.707733092
## 3503          Low 0.428256405
## 3504          Low 0.337409170
## 3505         High 0.730041951
## 3506         High 0.073139478
## 3507         High 0.150027324
## 3508          Low 1.976049449
## 3509          Low 0.083120467
## 3510          Low 0.373102537
## 3511         High 0.730041951
## 3512         High 0.596188979
## 3513         High 0.296190916
## 3514          Low 0.261561731
## 3515          Low 0.596188979
## 3516         High 0.738965498
## 3517          Low 0.853908158
## 3518         High 0.676500707
## 3519          Low 0.819277477
## 3520          Low 0.511415743
## 3521          Low 0.930822035
## 3522         High 0.396578297
## 3523          Low 0.428873779
## 3524         High 0.511415743
## 3525          Low 0.707733092
## 3526          Low 1.411631960
## 3527          Low 0.296190916
## 3528         High 1.634721814
## 3529         High 0.016379571
## 3530          Low 0.596188979
## 3531          Low 0.296190916
## 3532          Low 0.819277477
## 3533          Low 0.819277477
## 3534         High 0.038554888
## 3535          Low 0.261561731
## 3536         High 0.819277477
## 3537         High 0.484645323
## 3538          Low 0.742363712
## 3539          Low 0.396578297
## 3540         High 0.296190916
## 3541         High 0.261561731
## 3542          Low 0.018582705
## 3543          Low 0.018582705
## 3544          Low 0.396578297
## 3545          Low 0.146012390
## 3546         High 0.743427272
## 3547         High 2.750171967
## 3548         High 1.166233282
## 3549          Low 0.766182323
## 3550          Low 0.018582705
## 3551          Low 1.355859516
## 3552         High 0.324024217
## 3553         High 0.408796091
## 3554         High 0.117738011
## 3555          Low 1.969356749
## 3556          Low 0.283869622
## 3557          Low 0.361948337
## 3558         High 0.943731523
## 3559         High 0.738965498
## 3560          Low 0.150584957
## 3561          Low 0.839890900
## 3562         High 0.395410989
## 3563          Low 0.261561731
## 3564         High 0.965452758
## 3565          Low 0.150027324
## 3566          Low 0.738965498
## 3567          Low 0.428256405
## 3568         High 0.337409170
## 3569         High 0.484645323
## 3570          Low 1.746266776
## 3571          Low 0.038554888
## 3572         High 0.417719503
## 3573         High 0.883973304
## 3574         High 0.427089094
## 3575          Low 0.340807296
## 3576         High 0.511415743
## 3577          Low 0.511415743
## 3578         High 0.965452758
## 3579         High 0.863895283
## 3580         High 1.835502758
## 3581          Low 0.640806583
## 3582         High 0.229267561
## 3583          Low 0.819277477
## 3584         High 2.303991798
## 3585         High 0.519275673
## 3586          Low 0.117738011
## 3587         High 0.310639305
## 3588          Low 2.532436033
## 3589         High 0.299760208
## 3590         High 2.532436033
## 3591         High 0.299760208
## 3592          Low 0.261561731
## 3593         High 0.395410989
## 3594          Low 4.088712824
## 3595         High 1.300087080
## 3596          Low 3.046881823
## 3597          Low 0.045233131
## 3598          Low 0.016379571
## 3599         High 0.750387639
## 3600          Low 0.073139478
## 3601          Low 0.596188979
## 3602          Low 0.296190916
## 3603          Low 0.819277477
## 3604          Low 0.073139478
## 3605         High 0.076208782
## 3606         High 1.188542243
## 3607          Low 0.150027324
## 3608          Low 0.296190916
## 3609         High 0.819277477
## 3610         High 2.515927367
## 3611         High 1.302317978
## 3612          Low 0.953130962
## 3613         High 0.852740829
## 3614          Low 0.920834903
## 3615         High 0.150027324
## 3616          Low 0.150027324
## 3617         High 0.596188979
## 3618         High 1.902429751
## 3619         High 0.373102537
## 3620          Low 1.612412824
## 3621         High 0.908513112
## 3622         High 0.296190916
## 3623          Low 0.596188979
## 3624          Low 2.750171967
## 3625          Low 1.166233282
## 3626         High 0.707733092
## 3627          Low 1.612412824
## 3628         High 0.908513112
## 3629         High 1.355859516
## 3630          Low 0.324024217
## 3631          Low 0.853908158
## 3632         High 0.676500707
## 3633          Low 0.018582705
## 3634         High 0.395410989
## 3635         High 2.259373786
## 3636          Low 2.259373786
## 3637          Low 0.631934941
## 3638          Low 0.676500707
## 3639          Low 0.251575127
## 3640         High 0.396578297
## 3641          Low 0.503659583
## 3642         High 0.100959677
## 3643          Low 0.883973304
## 3644         High 0.965452758
## 3645         High 0.373102537
## 3646         High 0.898525983
## 3647          Low 0.150027324
## 3648         High 0.596188979
## 3649         High 0.150027324
## 3650         High 0.596188979
## 3651          Low 0.150027324
## 3652         High 0.891833308
## 3653          Low 1.456249922
## 3654         High 1.100673128
## 3655          Low 1.411631960
## 3656          Low 0.540417076
## 3657          Low 0.738965498
## 3658         High 0.484645323
## 3659         High 0.427089094
## 3660         High 1.411631960
## 3661         High 1.495290643
## 3662         High 0.390949294
## 3663          Low 1.495290643
## 3664         High 0.390949294
## 3665         High 0.373102537
## 3666         High 0.599141005
## 3667         High 0.515319766
## 3668          Low 4.200257909
## 3669          Low 0.742363712
## 3670         High 0.373102537
## 3671          Low 1.076997463
## 3672         High 0.519275673
## 3673         High 0.150027324
## 3674         High 0.296190916
## 3675          Low 0.993338925
## 3676          Low 2.177053559
## 3677          Low 0.750343022
## 3678          Low 0.596188979
## 3679          Low 0.873986177
## 3680          Low 0.676500707
## 3681          Low 1.411631960
## 3682          Low 0.540417076
## 3683          Low 2.935336762
## 3684          Low 0.046398370
## 3685          Low 4.423348081
## 3686         High 0.930822035
## 3687         High 0.146012390
## 3688         High 1.230282316
## 3689          Low 0.373102537
## 3690         High 0.539665845
## 3691          Low 0.128889754
## 3692         High 0.839890900
## 3693          Low 0.261561731
## 3694          Low 0.847163603
## 3695          Low 4.088712824
## 3696         High 0.296190916
## 3697          Low 1.076997463
## 3698         High 0.038554888
## 3699          Low 0.655359200
## 3700          Low 1.217049852
## 3701          Low 2.170137768
## 3702         High 1.099306413
## 3703          Low 1.369244902
## 3704         High 0.910744005
## 3705          Low 0.688770570
## 3706          Low 0.787821940
## 3707         High 1.411631960
## 3708         High 0.540417076
## 3709         High 0.038554888
## 3710          Low 0.150027324
## 3711          Low 0.707733092
## 3712          Low 0.396578297
## 3713         High 0.891833308
## 3714          Low 0.853908158
## 3715         High 0.676500707
## 3716          Low 0.511415743
## 3717          Low 0.511415743
## 3718          Low 0.742363712
## 3719         High 0.819277477
## 3720         High 0.930822035
## 3721         High 0.396578297
## 3722          Low 0.540417076
## 3723          Low 0.819277477
## 3724          Low 0.261561731
## 3725          Low 0.891833308
## 3726          Low 1.456249922
## 3727         High 0.819277477
## 3728         High 1.456249922
## 3729         High 0.853908158
## 3730          Low 0.676500707
## 3731          Low 1.746266776
## 3732          Low 0.088694874
## 3733         High 0.738965498
## 3734          Low 2.841638913
## 3735          Low 0.202498906
## 3736          Low 0.407732548
## 3737         High 0.150027324
## 3738         High 0.484645323
## 3739          Low 0.953130962
## 3740          Low 0.596188979
## 3741         High 0.296190916
## 3742          Low 0.930822035
## 3743         High 0.819277477
## 3744          Low 0.273882930
## 3745         High 0.146012390
## 3746         High 0.596188979
## 3747         High 0.083120467
## 3748          Low 0.742363712
## 3749         High 0.819277477
## 3750         High 3.642532502
## 3751         High 1.690494292
## 3752          Low 1.991665749
## 3753         High 0.060828063
## 3754          Low 2.750171967
## 3755         High 1.166233282
## 3756         High 0.853908158
## 3757         High 0.676500707
## 3758         High 0.150027324
## 3759         High 0.819277477
## 3760          Low 0.920834903
## 3761          Low 0.774659698
## 3762          Low 0.507005887
## 3763         High 0.625703517
## 3764          Low 0.261561731
## 3765          Low 0.930822035
## 3766          Low 1.188542243
## 3767         High 0.373102537
## 3768          Low 0.707733092
## 3769         High 1.121615367
## 3770          Low 0.930822035
## 3771         High 1.188542243
## 3772          Low 0.272715653
## 3773          Low 0.596188979
## 3774          Low 0.484645323
## 3775         High 2.527081871
## 3776         High 2.210293975
## 3777         High 0.716656635
## 3778         High 0.742363712
## 3779          Low 0.184653486
## 3780          Low 0.408796091
## 3781         High 0.430041091
## 3782          Low 0.596188979
## 3783         High 0.296190916
## 3784          Low 0.261561731
## 3785         High 0.993338925
## 3786          Low 0.752350820
## 3787         High 1.199696725
## 3788         High 0.596188979
## 3789         High 1.976049449
## 3790         High 0.071972978
## 3791         High 1.976049449
## 3792          Low 0.071972978
## 3793         High 0.596188979
## 3794         High 0.373102537
## 3795         High 0.853908158
## 3796          Low 0.819277477
## 3797         High 0.742363712
## 3798          Low 0.596188979
## 3799         High 0.421117667
## 3800         High 0.018582705
## 3801         High 0.596188979
## 3802          Low 1.411631960
## 3803          Low 0.261561731
## 3804          Low 0.296190916
## 3805          Low 1.456249922
## 3806          Low 0.819277477
## 3807         High 0.891833308
## 3808         High 0.073139478
## 3809         High 0.484645323
## 3810          Low 0.373102537
## 3811         High 0.819277477
## 3812         High 0.819277477
## 3813          Low 0.853908158
## 3814          Low 0.676500707
## 3815          Low 0.296190916
## 3816          Low 1.567794847
## 3817         High 0.421117667
## 3818         High 2.515927367
## 3819         High 1.302317978
## 3820          Low 0.519275673
## 3821         High 0.779121474
## 3822         High 0.596188979
## 3823         High 1.411631960
## 3824         High 1.121615367
## 3825          Low 0.930822035
## 3826          Low 0.272715653
## 3827         High 0.076208782
## 3828          Low 0.076208782
## 3829         High 0.930822035
## 3830          Low 0.519275673
## 3831         High 0.038554888
## 3832          Low 0.272715653
## 3833         High 0.742363712
## 3834         High 0.908513112
## 3835         High 2.527081871
## 3836          Low 0.930822035
## 3837          Low 0.105419902
## 3838          Low 2.527081871
## 3839         High 0.296190916
## 3840         High 1.456249922
## 3841          Low 0.417719503
## 3842         High 0.743427272
## 3843          Low 0.038554888
## 3844         High 0.596188979
## 3845          Low 0.407732548
## 3846         High 0.038554888
## 3847         High 0.396578297
## 3848          Low 0.930822035
## 3849          Low 1.056919410
## 3850         High 0.374269841
## 3851          Low 0.827137475
## 3852         High 0.326255040
## 3853         High 0.150027324
## 3854         High 0.819277477
## 3855          Low 1.014532417
## 3856         High 0.435566351
## 3857         High 0.229267561
## 3858         High 0.150027324
## 3859          Low 0.930822035
## 3860         High 0.853908158
## 3861          Low 0.296190916
## 3862         High 0.373102537
## 3863         High 2.337455307
## 3864         High 0.150027324
## 3865         High 0.211421730
## 3866         High 0.799199473
## 3867         High 0.408796091
## 3868         High 0.452349681
## 3869          Low 0.440028067
## 3870         High 0.930822035
## 3871         High 0.150027324
## 3872          Low 0.819277477
## 3873          Low 2.466847548
## 3874         High 0.256036671
## 3875          Low 2.466847548
## 3876         High 0.256036671
## 3877          Low 0.340807296
## 3878         High 0.720054847
## 3879          Low 0.965452758
## 3880         High 0.206960310
## 3881          Low 0.819277477
## 3882         High 0.596188979
## 3883         High 0.018582705
## 3884         High 0.373102537
## 3885          Low 0.819277477
## 3886         High 0.261561731
## 3887         High 1.199696725
## 3888         High 0.017531500
## 3889          Low 0.484645323
## 3890         High 0.519275673
## 3891          Low 0.467913835
## 3892          Low 0.853908158
## 3893          Low 0.467913835
## 3894         High 1.969356749
## 3895          Low 0.261561731
## 3896          Low 0.373102537
## 3897          Low 0.254690941
## 3898         High 1.076997463
## 3899          Low 2.750171967
## 3900          Low 0.943143828
## 3901          Low 2.283378276
## 3902          Low 0.348682131
## 3903          Low 0.891833308
## 3904         High 0.993338925
## 3905         High 0.273882930
## 3906         High 0.551571446
## 3907          Low 0.596188979
## 3908         High 0.296190916
## 3909         High 0.819277477
## 3910         High 0.596188979
## 3911         High 1.411631960
## 3912         High 0.296190916
## 3913          Low 0.819277477
## 3914         High 0.819277477
## 3915          Low 1.914699700
## 3916         High 0.256036671
## 3917         High 0.105419902
## 3918         High 0.296190916
## 3919          Low 0.596188979
## 3920          Low 0.396578297
## 3921          Low 0.017531500
## 3922         High 0.261561731
## 3923         High 0.396578297
## 3924         High 0.707733092
## 3925         High 1.076997463
## 3926         High 0.038554888
## 3927         High 0.272715653
## 3928         High 0.973209000
## 3929          Low 0.060828063
## 3930          Low 0.272715653
## 3931          Low 0.137536552
## 3932          Low 1.369244902
## 3933          Low 0.910744005
## 3934          Low 2.337455307
## 3935          Low 0.150027324
## 3936          Low 0.556033196
## 3937          Low 0.462336676
## 3938         High 0.373102537
## 3939          Low 0.596188979
## 3940         High 1.099306413
## 3941         High 0.105419902
## 3942         High 0.819277477
## 3943          Low 1.668185300
## 3944         High 0.596188979
## 3945          Low 0.261561731
## 3946         High 0.707733092
## 3947          Low 0.738965498
## 3948          Low 0.819277477
## 3949          Low 0.373102537
## 3950          Low 0.930822035
## 3951          Low 0.930822035
## 3952         High 0.261561731
## 3953          Low 0.930822035
## 3954          Low 0.819277477
## 3955          Low 0.819277477
## 3956         High 0.819277477
## 3957         High 1.634721814
## 3958         High 0.261561731
## 3959          Low 1.411631960
## 3960         High 0.519275673
## 3961          Low 0.596188979
## 3962         High 1.914699700
## 3963         High 0.256036671
## 3964         High 0.742363712
## 3965          Low 0.908513112
## 3966         High 0.819277477
## 3967         High 1.375937595
## 3968         High 0.069743750
## 3969         High 0.819277477
## 3970         High 0.819277477
## 3971         High 0.596188979
## 3972         High 0.653128318
## 3973         High 0.953130962
## 3974         High 0.841586377
## 3975          Low 0.819277477
## 3976         High 1.322396053
## 3977         High 0.318499048
## 3978         High 0.073139478
## 3979         High 0.707733092
## 3980         High 1.076997463
## 3981         High 0.038554888
## 3982         High 0.073139478
## 3983          Low 0.596188979
## 3984         High 0.396578297
## 3985          Low 0.117738011
## 3986         High 0.506954003
## 3987         High 0.018582705
## 3988         High 0.261561731
## 3989          Low 0.428873779
## 3990         High 0.060828063
## 3991          Low 0.930822035
## 3992         High 0.261561731
## 3993          Low 0.261561731
## 3994         High 0.296190916
## 3995          Low 0.930822035
## 3996         High 0.930822035
## 3997         High 0.117738011
## 3998          Low 0.506954003
## 3999          Low 2.750171967
## 4000         High 1.166233282
## 4001         High 0.930822035
## 4002          Low 0.596188979
## 4003          Low 0.073139478
## 4004         High 0.819277477
## 4005          Low 0.819277477
## 4006          Low 0.261561731
## 4007          Low 1.400477471
## 4008         High 0.822623811
## 4009          Low 1.400477471
## 4010         High 0.822623811
## 4011          Low 1.400477471
## 4012         High 0.822623811
## 4013          Low 0.073139478
## 4014         High 0.519275673
## 4015          Low 0.819277477
## 4016         High 0.519275673
## 4017          Low 0.819277477
## 4018         High 0.519275673
## 4019          Low 0.088694874
## 4020          Low 0.562725822
## 4021          Low 0.519275673
## 4022          Low 0.819277477
## 4023          Low 0.269421353
## 4024          Low 0.819277477
## 4025          Low 0.596188979
## 4026         High 0.653128318
## 4027          Low 0.953130962
## 4028         High 0.618497773
## 4029         High 0.630819500
## 4030         High 0.819277477
## 4031         High 1.322396053
## 4032         High 0.318499048
## 4033          Low 0.006744347
## 4034         High 0.752350820
## 4035          Low 1.523176874
## 4036          Low 0.038554888
## 4037          Low 4.640022108
## 4038         High 0.395410989
## 4039          Low 0.446720646
## 4040         High 0.296190916
## 4041          Low 0.742363712
## 4042         High 0.908513112
## 4043          Low 0.819277477
## 4044         High 0.073139478
## 4045          Low 0.306177677
## 4046          Low 0.117738011
## 4047          Low 0.073139478
## 4048          Low 0.162347266
## 4049          Low 0.318499048
## 4050          Low 0.484645323
## 4051          Low 0.965452758
## 4052         High 0.206960310
## 4053         High 0.819277477
## 4054         High 0.965452758
## 4055         High 0.819277477
## 4056         High 0.738965498
## 4057          Low 0.653128318
## 4058         High 0.953130962
## 4059         High 0.150027324
## 4060         High 0.596188979
## 4061          Low 0.128889754
## 4062          Low 0.763505258
## 4063          Low 0.177909668
## 4064         High 0.596188979
## 4065         High 0.484645323
## 4066         High 0.373102537
## 4067          Low 0.374269841
## 4068         High 0.774659698
## 4069         High 0.238859781
## 4070         High 0.229267561
## 4071          Low 0.742363712
## 4072         High 0.551571446
## 4073         High 0.840694021
## 4074         High 0.350794157
## 4075         High 0.018582705
## 4076          Low 0.819277477
## 4077          Low 0.965452758
## 4078         High 0.716656635
## 4079          Low 0.396578297
## 4080         High 0.596188979
## 4081         High 0.586201911
## 4082         High 0.774659698
## 4083         High 0.902987767
## 4084         High 0.417719503
## 4085          Low 1.255469140
## 4086          Low 0.083120467
## 4087          Low 0.261561731
## 4088          Low 0.819277477
## 4089         High 0.484645323
## 4090          Low 0.194639615
## 4091         High 2.527081871
## 4092          Low 0.395410989
## 4093         High 0.162347266
## 4094          Low 0.073139478
## 4095         High 0.067566473
## 4096          Low 0.596188979
## 4097         High 1.411631960
## 4098         High 0.819277477
## 4099         High 0.430041091
## 4100          Low 0.596188979
## 4101         High 0.596188979
## 4102         High 0.819277477
## 4103         High 0.099896507
## 4104         High 0.099896507
## 4105         High 0.965452758
## 4106         High 0.716656635
## 4107         High 0.395410989
## 4108          Low 0.018582705
## 4109          Low 0.707733092
## 4110          Low 0.407732548
## 4111          Low 0.819277477
## 4112          Low 0.161180098
## 4113         High 0.150027324
## 4114         High 0.018582705
## 4115         High 0.261561731
## 4116         High 0.930822035
## 4117          Low 1.076997463
## 4118          Low 0.261561731
## 4119          Low 0.596188979
## 4120          Low 0.930822035
## 4121         High 0.484645323
## 4122         High 0.408796091
## 4123         High 0.296190916
## 4124         High 0.596188979
## 4125         High 0.269421353
## 4126          Low 0.484645323
## 4127         High 0.863895283
## 4128         High 0.819277477
## 4129         High 0.596188979
## 4130          Low 0.738965498
## 4131         High 2.750171967
## 4132          Low 1.166233282
## 4133          Low 2.515927367
## 4134          Low 1.302317978
## 4135         High 0.417719503
## 4136         High 0.573880202
## 4137         High 0.407732548
## 4138          Low 0.060828063
## 4139         High 0.018582705
## 4140         High 1.355859516
## 4141         High 0.324024217
## 4142         High 0.216946648
## 4143          Low 0.407732548
## 4144          Low 0.060828063
## 4145          Low 0.908513112
## 4146         High 0.395410989
## 4147          Low 0.965452758
## 4148         High 0.206960310
## 4149          Low 0.261561731
## 4150         High 0.993338925
## 4151         High 0.156770835
## 4152         High 0.993338925
## 4153          Low 0.993338925
## 4154         High 0.993338925
## 4155         High 0.156770835
## 4156          Low 0.474658311
## 4157          Low 2.527081871
## 4158          Low 0.206960310
## 4159         High 0.396578297
## 4160          Low 0.018582705
## 4161         High 0.396578297
## 4162          Low 0.407732548
## 4163         High 0.038554888
## 4164          Low 0.018582705
## 4165         High 1.355859516
## 4166          Low 0.324024217
## 4167          Low 0.596188979
## 4168          Low 0.819277477
## 4169          Low 0.018582705
## 4170          Low 0.407732548
## 4171         High 0.060828063
## 4172          Low 4.200257909
## 4173         High 0.099896507
## 4174          Low 0.853908158
## 4175         High 0.676500707
## 4176          Low 0.395410989
## 4177         High 0.396578297
## 4178          Low 0.018582705
## 4179         High 3.642532502
## 4180         High 0.318499048
## 4181         High 0.261561731
## 4182          Low 0.819277477
## 4183          Low 0.717548989
## 4184          Low 0.373102537
## 4185          Low 0.930822035
## 4186          Low 1.355859516
## 4187         High 0.324024217
## 4188         High 0.205793078
## 4189         High 0.018582705
## 4190          Low 0.130317211
## 4191          Low 0.934079138
## 4192          Low 0.165529744
## 4193         High 2.861717023
## 4194         High 0.853908158
## 4195          Low 1.275547212
## 4196         High 0.672038940
## 4197          Low 0.430041091
## 4198          Low 0.596188979
## 4199          Low 0.596188979
## 4200         High 0.094269618
## 4201          Low 0.596188979
## 4202          Low 0.519275673
## 4203          Low 0.373102537
## 4204         High 1.355859516
## 4205          Low 0.324024217
## 4206         High 0.853908158
## 4207          Low 0.058599518
## 4208          Low 0.573880202
## 4209          Low 0.407732548
## 4210          Low 0.596188979
## 4211          Low 0.395410989
## 4212         High 0.596188979
## 4213         High 1.300087080
## 4214         High 0.150027324
## 4215         High 0.742363712
## 4216         High 0.819277477
## 4217          Low 0.261390535
## 4218         High 0.953130962
## 4219          Low 1.188542243
## 4220         High 0.373102537
## 4221         High 0.261390535
## 4222         High 0.953130962
## 4223         High 0.819277477
## 4224         High 0.010971398
## 4225         High 0.819277477
## 4226         High 1.969356749
## 4227          Low 0.462336676
## 4228          Low 0.602903924
## 4229          Low 0.446720646
## 4230         High 1.099306413
## 4231         High 0.105419902
## 4232         High 0.150027324
## 4233         High 0.853908158
## 4234         High 0.676500707
## 4235         High 0.396578297
## 4236          Low 1.188542243
## 4237         High 2.527081871
## 4238         High 0.184653486
## 4239         High 0.261561731
## 4240          Low 0.707733092
## 4241          Low 0.373102537
## 4242          Low 0.819277477
## 4243         High 0.150027324
## 4244          Low 0.296190916
## 4245         High 0.596188979
## 4246          Low 0.519275673
## 4247         High 0.150027324
## 4248          Low 1.634721814
## 4249          Low 0.150027324
## 4250          Low 0.519275673
## 4251          Low 0.663115407
## 4252         High 0.150027324
## 4253          Low 0.261561731
## 4254         High 0.350794157
## 4255          Low 0.358653963
## 4256         High 0.229267561
## 4257          Low 0.596188979
## 4258          Low 0.018582705
## 4259          Low 0.373102537
## 4260         High 0.819277477
## 4261          Low 3.544372835
## 4262         High 0.974376331
## 4263         High 0.930822035
## 4264          Low 0.240369430
## 4265          Low 0.421117667
## 4266         High 1.112691785
## 4267          Low 0.296190916
## 4268         High 0.484645323
## 4269         High 0.018582705
## 4270         High 0.395410989
## 4271         High 0.853908158
## 4272         High 0.058599518
## 4273          Low 0.018582705
## 4274          Low 0.853908158
## 4275          Low 0.676500707
## 4276         High 0.018582705
## 4277         High 0.707733092
## 4278          Low 0.707733092
## 4279          Low 0.738965498
## 4280         High 0.038554888
## 4281         High 0.018582705
## 4282         High 0.707733092
## 4283         High 0.417719503
## 4284         High 0.018582705
## 4285         High 0.099896507
## 4286         High 0.395410989
## 4287         High 0.819277477
## 4288          Low 0.018582705
## 4289          Low 0.038554888
## 4290         High 0.018582705
## 4291         High 0.853908158
## 4292          Low 0.676500707
## 4293          Low 0.296190916
## 4294         High 0.261561731
## 4295         High 0.018582705
## 4296         High 0.852740829
## 4297         High 0.853908158
## 4298         High 0.038554888
## 4299         High 0.546527164
## 4300          Low 0.948669176
## 4301          Low 0.373102537
## 4302         High 0.819277477
## 4303         High 0.150027324
## 4304          Low 0.596188979
## 4305         High 0.296190916
## 4306         High 0.819277477
## 4307          Low 0.044171570
## 4308         High 0.587377010
## 4309         High 2.527081871
## 4310         High 0.853908158
## 4311          Low 0.261390535
## 4312         High 0.953130962
## 4313         High 0.106029307
## 4314         High 0.666060172
## 4315         High 0.296190916
## 4316         High 0.261390535
## 4317         High 0.953130962
## 4318         High 0.296190916
## 4319         High 0.150027324
## 4320         High 0.519275673
## 4321         High 0.150027324
## 4322         High 0.484645323
## 4323          Low 0.176794350
## 4324         High 0.596188979
## 4325          Low 1.411631960
## 4326         High 0.010971398
## 4327         High 0.296190916
## 4328         High 0.930822035
## 4329          Low 0.965408140
## 4330         High 0.717883622
## 4331         High 0.630819500
## 4332         High 0.618497773
## 4333          Low 0.965408140
## 4334         High 0.717883622
## 4335         High 0.083120467
## 4336         High 1.119384472
## 4337          Low 0.614036013
## 4338         High 1.260488658
## 4339         High 0.155046042
## 4340         High 0.261561731
## 4341         High 0.819277477
## 4342          Low 0.519275673
## 4343          Low 0.150027324
## 4344          Low 0.863895283
## 4345          Low 0.073139478
## 4346         High 0.106029307
## 4347         High 0.596188979
## 4348         High 0.697745993
## 4349          Low 0.924129358
## 4350         High 0.193576155
## 4351         High 0.106029307
## 4352         High 0.452349681
## 4353         High 0.752350820
## 4354         High 0.106029307
## 4355         High 0.106029307
## 4356         High 0.106029307
## 4357         High 0.106029307
## 4358         High 0.296190916
## 4359          Low 0.452349681
## 4360         High 0.752350820
## 4361         High 0.106029307
## 4362          Low 0.106029307
## 4363         High 0.106029307
## 4364          Low 0.200268211
## 4365         High 0.819277477
## 4366         High 0.953130962
## 4367         High 0.193576155
## 4368         High 0.193576155
## 4369         High 0.193576155
## 4370          Low 0.073139478
## 4371         High 0.596188979
## 4372          Low 0.176794350
## 4373         High 0.073139478
## 4374         High 0.150027324
## 4375         High 0.484645323
## 4376          Low 0.073139478
## 4377          Low 0.163410682
## 4378          Low 0.730041951
## 4379         High 0.160116687
## 4380          Low 0.801259157
## 4381         High 0.101851711
## 4382         High 0.819277477
## 4383         High 2.471309350
## 4384          Low 1.634721814
## 4385         High 0.140041938
## 4386         High 1.411631960
## 4387         High 0.106029307
## 4388          Low 0.328485864
## 4389          Low 0.630819500
## 4390         High 0.506954003
## 4391          Low 2.527081871
## 4392         High 1.411631960
## 4393          Low 0.150027324
## 4394          Low 0.819277477
## 4395          Low 1.411631960
## 4396         High 0.106029307
## 4397          Low 0.581740156
## 4398         High 0.779121474
## 4399          Low 0.484645323
## 4400         High 0.163410682
## 4401         High 0.730041951
## 4402         High 0.106029307
## 4403         High 0.106029307
## 4404         High 0.106029307
## 4405          Low 0.106029307
## 4406         High 0.106029307
## 4407         High 0.106029307
## 4408         High 0.106029307
## 4409         High 0.106029307
## 4410         High 0.296190916
## 4411         High 0.150027324
## 4412         High 0.296190916
## 4413         High 0.387654906
## 4414         High 1.411631960
## 4415         High 0.106029307
## 4416         High 0.106029307
## 4417          Low 0.106029307
## 4418          Low 0.373102537
## 4419          Low 0.261561731
## 4420          Low 1.411631960
## 4421          Low 0.596188979
## 4422          Low 0.930822035
## 4423          Low 0.904051329
## 4424         High 0.853908158
## 4425          Low 0.596188979
## 4426          Low 0.020791761
## 4427          Low 1.300087080
## 4428         High 0.150027324
## 4429         High 0.374269841
## 4430          Low 0.774659698
## 4431          Low 1.411631960
## 4432         High 0.016379571
## 4433         High 0.846048158
## 4434         High 0.306177677
## 4435         High 0.374269841
## 4436         High 0.774659698
## 4437         High 0.016379571
## 4438         High 0.846048158
## 4439         High 0.640806583
## 4440          Low 0.373102537
## 4441          Low 0.296190916
## 4442         High 0.819277477
## 4443         High 0.657590083
## 4444         High 0.950900069
## 4445          Low 1.411631960
## 4446         High 0.430041091
## 4447         High 0.259330953
## 4448         High 0.065337474
## 4449         High 0.484734558
## 4450          Low 0.840694021
## 4451          Low 0.730041951
## 4452         High 0.296190916
## 4453         High 0.819277477
## 4454         High 0.200268211
## 4455         High 0.373102537
## 4456         High 0.296190916
## 4457          Low 0.160116687
## 4458         High 0.261561731
## 4459          Low 0.030823226
## 4460         High 1.382630288
## 4461          Low 0.437797209
## 4462         High 1.300087080
## 4463          Low 0.407732548
## 4464         High 1.411631960
## 4465          Low 0.061994233
## 4466         High 0.203562376
## 4467         High 1.411631960
## 4468         High 0.360884801
## 4469          Low 0.930822035
## 4470         High 0.160116687
## 4471         High 0.150027324
## 4472          Low 0.657590083
## 4473          Low 0.950900069
## 4474          Low 0.653128318
## 4475          Low 0.953130962
## 4476          Low 0.819277477
## 4477          Low 1.411631960
## 4478         High 1.645876309
## 4479         High 0.259330953
## 4480         High 0.519275673
## 4481         High 0.445634790
## 4482          Low 0.296190916
## 4483          Low 1.411631960
## 4484         High 1.411631960
## 4485          Low 1.411631960
## 4486          Low 0.596188979
## 4487          Low 0.771365250
## 4488          Low 0.848279048
## 4489          Low 1.395123316
## 4490         High 0.029660707
## 4491         High 0.373102537
## 4492          Low 0.150027324
## 4493          Low 0.596188979
## 4494          Low 0.296190916
## 4495          Low 0.596188979
## 4496          Low 0.596188979
## 4497          Low 0.296190916
## 4498          Low 0.150027324
## 4499          Low 0.752350820
## 4500         High 0.519275673
## 4501          Low 0.817604310
## 4502          Low 0.596188979
## 4503          Low 0.360884801
## 4504         High 0.261561731
## 4505         High 0.016379571
## 4506         High 0.846048158
## 4507         High 1.188542243
## 4508         High 0.596188979
## 4509          Low 2.527081871
## 4510         High 0.296190916
## 4511         High 0.296190916
## 4512         High 0.930822035
## 4513          Low 0.637512144
## 4514          Low 0.636344819
## 4515          Low 0.499197845
## 4516         High 0.716656635
## 4517         High 0.261561731
## 4518          Low 0.707733092
## 4519          Low 0.506954003
## 4520         High 0.373102537
## 4521          Low 0.065337474
## 4522         High 0.484734558
## 4523          Low 0.475721860
## 4524          Low 0.491947524
## 4525          Low 0.868357065
## 4526         High 0.069743750
## 4527         High 0.065337474
## 4528         High 0.484734558
## 4529          Low 0.637512144
## 4530         High 1.634721814
## 4531         High 0.150027324
## 4532          Low 0.596188979
## 4533          Low 1.210851207
## 4534          Low 0.618497773
## 4535         High 0.150027324
## 4536         High 1.233160172
## 4537         High 0.296190916
## 4538         High 0.479737418
## 4539         High 0.106757996
## 4540          Low 0.744817688
## 4541         High 0.594404276
## 4542          Low 0.150027324
## 4543          Low 0.707733092
## 4544          Low 0.373102537
## 4545         High 0.819277477
## 4546         High 0.908513112
## 4547         High 0.373102537
## 4548          Low 0.566250605
## 4549          Low 0.440028067
## 4550          Low 0.552738767
## 4551         High 0.126659366
## 4552         High 0.596188979
## 4553         High 0.819277477
## 4554          Low 0.440028067
## 4555         High 0.475721860
## 4556         High 1.275547212
## 4557         High 0.672038940
## 4558         High 0.831599255
## 4559         High 0.420508071
## 4560          Low 0.261561731
## 4561         High 0.499197845
## 4562         High 0.716656635
## 4563         High 0.150027324
## 4564         High 0.596188979
## 4565         High 0.414425105
## 4566          Low 0.239254052
## 4567         High 0.953130962
## 4568         High 0.298421723
## 4569         High 0.596188979
## 4570         High 0.414425105
## 4571         High 0.414425105
## 4572         High 0.045233131
## 4573         High 0.259330953
## 4574          Low 0.930822035
## 4575         High 0.608510697
## 4576         High 0.131120159
## 4577         High 1.777499368
## 4578         High 0.588878964
## 4579         High 0.707733092
## 4580         High 0.445634790
## 4581         High 0.130317211
## 4582         High 0.934079138
## 4583         High 0.965452758
## 4584         High 0.819277477
## 4585          Low 0.813477164
## 4586          Low 0.373102537
## 4587         High 0.819277477
## 4588          Low 0.596188979
## 4589         High 0.730041951
## 4590         High 0.519275673
## 4591         High 0.519275673
## 4592         High 0.519275673
## 4593          Low 0.519275673
## 4594          Low 0.817604310
## 4595         High 0.744817688
## 4596         High 0.594404276
## 4597         High 0.373102537
## 4598         High 0.965452758
## 4599         High 0.742363712
## 4600         High 0.767523549
## 4601         High 0.742363712
## 4602         High 0.296190916
## 4603         High 3.062498132
## 4604         High 0.653128318
## 4605         High 0.519275673
## 4606          Low 0.036329989
## 4607         High 1.000097850
## 4608          Low 0.663115407
## 4609         High 0.296190916
## 4610          Low 0.484645323
## 4611         High 0.752350820
## 4612         High 0.763505258
## 4613          Low 4.869528438
## 4614          Low 0.819277477
## 4615          Low 1.188542243
## 4616          Low 4.311802994
## 4617         High 0.216946648
## 4618         High 0.742363712
## 4619         High 0.819277477
## 4620          Low 0.953130962
## 4621          Low 0.783860030
## 4622          Low 0.296190916
## 4623          Low 0.296190916
## 4624         High 0.373102537
## 4625          Low 0.819277477
## 4626          Low 1.411631960
## 4627         High 0.965452758
## 4628         High 5.873434285
## 4629         High 0.953130962
## 4630          Low 0.819277477
## 4631         High 0.752350820
## 4632         High 1.857811755
## 4633         High 1.033234679
## 4634         High 1.411631960
## 4635         High 0.373102537
## 4636         High 1.076997463
## 4637         High 0.819277477
## 4638         High 0.853908158
## 4639         High 0.819277477
## 4640         High 0.760959062
## 4641         High 0.819277477
## 4642         High 1.991665749
## 4643          Low 0.028601871
## 4644          Low 0.596188979
## 4645         High 0.296190916
## 4646          Low 0.283869622
## 4647         High 0.373102537
## 4648         High 0.484645323
## 4649         High 1.634721814
## 4650          Low 0.150027324
## 4651          Low 0.296190916
## 4652          Low 0.296190916
## 4653          Low 1.545485860
## 4654         High 0.038554888
## 4655          Low 0.819277477
## 4656         High 0.596188979
## 4657         High 0.073139478
## 4658         High 0.886204195
## 4659          Low 0.283869622
## 4660         High 0.184653486
## 4661         High 5.114927640
## 4662         High 0.853908158
## 4663          Low 3.084807145
## 4664         High 0.296190916
## 4665          Low 0.596188979
## 4666         High 0.484645323
## 4667         High 0.038554888
## 4668         High 0.774659698
## 4669          Low 0.656098275
## 4670         High 1.079246219
## 4671          Low 1.076997463
## 4672         High 0.077598322
## 4673          Low 0.417719503
## 4674         High 5.271090771
## 4675          Low 0.484645323
## 4676         High 5.025691566
## 4677         High 0.796968584
## 4678         High 0.318963357
## 4679         High 0.527675797
## 4680         High 0.271149936
## 4681          Low 0.547676922
## 4682         High 0.121749933
## 4683         High 0.741757981
## 4684          Low 0.741757981
## 4685          Low 1.483547426
## 4686          Low 1.607221049
## 4687          Low 0.233233927
## 4688         High 0.679370564
## 4689         High 0.770758920
## 4690          Low 0.324606222
## 4691          Low 0.819837560
## 4692         High 0.101621246
## 4693          Low 0.681525475
## 4694          Low 0.024042324
## 4695          Low 0.532061440
## 4696         High 0.576753137
## 4697         High 0.369218475
## 4698         High 0.244385394
## 4699         High 0.764066391
## 4700          Low 0.121749933
## 4701          Low 0.819837560
## 4702         High 0.487446073
## 4703          Low 0.024042324
## 4704         High 0.532061440
## 4705          Low 0.746295576
## 4706          Low 0.924763728
## 4707          Low 0.614600895
## 4708          Low 1.049692249
## 4709          Low 0.799715300
## 4710         High 0.226623411
## 4711          Low 0.121749933
## 4712         High 0.679370564
## 4713          Low 0.919788181
## 4714          Low 1.237087722
## 4715          Low 0.344757459
## 4716         High 0.790912444
## 4717          Low 0.189068657
## 4718         High 0.391525097
## 4719          Low 0.297839702
## 4720         High 0.253230860
## 4721         High 0.121749933
## 4722         High 0.324606222
## 4723         High 0.621293329
## 4724         High 0.391525097
## 4725         High 0.547676922
## 4726         High 0.257691601
## 4727         High 0.770758920
## 4728          Low 0.723987197
## 4729          Low 0.532061440
## 4730          Low 0.547676922
## 4731          Low 0.032862744
## 4732         High 0.837684373
## 4733          Low 0.235388300
## 4734         High 0.297839702
## 4735         High 0.391525097
## 4736         High 0.569984832
## 4737          Low 1.360142814
## 4738         High 1.607221049
## 4739         High 0.703833774
## 4740         High 0.101621246
## 4741          Low 0.144039162
## 4742         High 0.547676922
## 4743         High 0.011517406
## 4744          Low 0.144039162
## 4745         High 1.181313826
## 4746         High 0.063964825
## 4747          Low 0.547676922
## 4748          Low 0.213086196
## 4749         High 0.614600895
## 4750          Low 1.051923119
## 4751         High 0.213086196
## 4752         High 0.233233927
## 4753         High 0.255578126
## 4754         High 1.557731950
## 4755          Low 1.424687348
## 4756          Low 1.679741714
## 4757         High 0.520129169
## 4758          Low 0.992545860
## 4759          Low 0.520129169
## 4760          Low 0.992545860
## 4761         High 0.730459160
## 4762         High 0.477046033
## 4763         High 0.770758920
## 4764         High 0.434689109
## 4765         High 0.655946909
## 4766         High 0.572215628
## 4767         High 0.346912162
## 4768          Low 0.721756361
## 4769          Low 0.456291539
## 4770          Low 0.902455122
## 4771          Low 0.121749933
## 4772         High 0.121749933
## 4773         High 1.308809674
## 4774         High 1.517420550
## 4775          Low 0.121749933
## 4776         High 0.121749933
## 4777          Low 0.121749933
## 4778          Low 0.101621246
## 4779          Low 0.567829952
## 4780         High 1.607221049
## 4781         High 0.768603993
## 4782          Low 0.346912162
## 4783          Low 0.614600895
## 4784         High 1.049692249
## 4785         High 0.659217226
## 4786         High 0.101621246
## 4787          Low 0.318056861
## 4788          Low 0.871499272
## 4789          Low 0.192569677
## 4790         High 0.192569677
## 4791          Low 0.721756361
## 4792         High 0.192569677
## 4793          Low 1.686493798
## 4794         High 1.686493798
## 4795          Low 0.770758920
## 4796         High 0.346912162
## 4797          Low 0.576753137
## 4798         High 0.231003669
## 4799         High 0.614600895
## 4800          Low 1.049692249
## 4801          Low 0.344757459
## 4802          Low 0.790912444
## 4803          Low 0.721756361
## 4804          Low 0.659217226
## 4805          Low 0.121749933
## 4806          Low 0.063964825
## 4807         High 0.384908991
## 4808          Low 0.743988820
## 4809         High 0.992545860
## 4810          Low 1.237087722
## 4811         High 0.815375860
## 4812          Low 0.773659017
## 4813         High 0.459191497
## 4814          Low 0.005695146
## 4815         High 0.681525475
## 4816          Low 0.815375860
## 4817         High 0.369218475
## 4818         High 0.244385394
## 4819         High 0.235388300
## 4820          Low 0.344757459
## 4821         High 0.503061397
## 4822          Low 0.458446363
## 4823          Low 0.681525475
## 4824          Low 0.436139076
## 4825         High 0.487446073
## 4826         High 1.013998335
## 4827         High 1.125541924
## 4828          Low 0.436139076
## 4829         High 0.592292826
## 4830          Low 0.123902694
## 4831         High 0.480753810
## 4832          Low 0.436339841
## 4833         High 0.493344264
## 4834          Low 0.150651206
## 4835         High 0.304607167
## 4836         High 0.547676922
## 4837         High 0.213086196
## 4838          Low 0.614600895
## 4839          Low 1.051923119
## 4840          Low 0.456291539
## 4841         High 0.558830866
## 4842         High 0.235388300
## 4843         High 0.536598916
## 4844         High 1.382093109
## 4845         High 0.300146122
## 4846          Low 0.721756361
## 4847         High 0.324606222
## 4848         High 0.547676922
## 4849         High 0.721756361
## 4850         High 0.106076608
## 4851         High 0.721756361
## 4852         High 0.271149936
## 4853         High 0.271149936
## 4854          Low 0.721756361
## 4855         High 0.132817866
## 4856          Low 0.614600895
## 4857          Low 1.049692249
## 4858          Low 0.721756361
## 4859         High 0.271149936
## 4860         High 0.659217226
## 4861         High 0.213086196
## 4862         High 0.766520318
## 4863          Low 0.225985634
## 4864          Low 0.764066391
## 4865          Low 0.748450500
## 4866         High 0.255537126
## 4867          Low 0.480753810
## 4868         High 0.902455122
## 4869         High 0.681525475
## 4870         High 0.748450500
## 4871         High 0.819837560
## 4872         High 0.648063121
## 4873         High 0.389294422
## 4874         High 0.213086196
## 4875          Low 0.233233927
## 4876         High 0.213086196
## 4877          Low 0.344757459
## 4878         High 0.500906547
## 4879         High 0.880146538
## 4880         High 0.359180593
## 4881         High 0.721756361
## 4882         High 0.799715300
## 4883          Low 0.226623411
## 4884          Low 0.079355292
## 4885          Low 0.121749933
## 4886         High 0.280071717
## 4887          Low 0.547676922
## 4888          Low 0.101621246
## 4889          Low 0.121749933
## 4890         High 0.106076608
## 4891          Low 0.547676922
## 4892         High 0.121749933
## 4893          Low 0.017600782
## 4894         High 0.324606222
## 4895         High 0.317990431
## 4896          Low 1.054153990
## 4897         High 0.547676922
## 4898          Low 0.681525475
## 4899          Low 0.636909030
## 4900          Low 0.659217226
## 4901         High 0.324606222
## 4902         High 0.271149936
## 4903         High 0.028401288
## 4904          Low 1.065308347
## 4905         High 0.436139076
## 4906          Low 0.121749933
## 4907          Low 0.884608253
## 4908          Low 0.271149936
## 4909          Low 0.533565054
## 4910          Low 0.121749933
## 4911          Low 0.681525475
## 4912          Low 0.144039162
## 4913         High 0.819837560
## 4914         High 0.233233927
## 4915         High 0.679370564
## 4916         High 0.213086196
## 4917         High 0.011517406
## 4918         High 0.344757459
## 4919         High 0.567829952
## 4920          Low 0.770758920
## 4921         High 0.121749933
## 4922         High 0.679370564
## 4923          Low 0.322451558
## 4924          Low 0.324606222
## 4925         High 0.614600895
## 4926          Low 1.049692249
## 4927         High 0.721756361
## 4928         High 0.721756361
## 4929          Low 0.271149936
## 4930          Low 0.819837560
## 4931         High 0.288917707
## 4932          Low 0.770758920
## 4933          Low 0.268919510
## 4934          Low 0.286381280
## 4935          Low 0.592292826
## 4936          Low 0.558830866
## 4937         High 0.235388300
## 4938         High 0.681525475
## 4939         High 0.322451558
## 4940          Low 0.532061440
## 4941         High 0.837684373
## 4942          Low 0.612446000
## 4943          Low 0.659217226
## 4944          Low 0.101621246
## 4945         High 0.815375860
## 4946         High 0.072756352
## 4947         High 0.714987940
## 4948          Low 0.534368135
## 4949         High 0.770758920
## 4950          Low 0.436139076
## 4951         High 0.501946015
## 4952          Low 0.286381280
## 4953         High 0.634195960
## 4954         High 0.450580862
## 4955         High 0.754884313
## 4956         High 0.121749933
## 4957         High 0.121749933
## 4958         High 0.436139076
## 4959         High 1.013998335
## 4960         High 1.192468214
## 4961          Low 0.121749933
## 4962          Low 0.567829952
## 4963          Low 0.819837560
## 4964          Low 0.659217226
## 4965          Low 0.121749933
## 4966          Low 0.576753137
## 4967         High 0.681525475
## 4968         High 0.101621246
## 4969         High 0.233233927
## 4970          Low 0.630216583
## 4971         High 0.768603993
## 4972          Low 1.080924451
## 4973          Low 0.681525475
## 4974          Low 1.036307027
## 4975          Low 1.237085787
## 4976          Low 0.503061397
## 4977         High 1.237085787
## 4978         High 0.961476823
## 4979         High 1.123487792
## 4980          Low 1.884043101
## 4981          Low 0.659217226
## 4982          Low 0.324606222
## 4983          Low 0.770758920
## 4984         High 1.483547426
## 4985         High 1.483547426
## 4986         High 0.598985240
## 4987          Low 0.344757459
## 4988         High 0.567829952
## 4989          Low 0.271149936
## 4990          Low 0.271149936
## 4991          Low 0.614600895
## 4992         High 1.051923119
## 4993         High 0.469675981
## 4994          Low 0.046034621
## 4995          Low 0.011517406
## 4996         High 0.679370564
## 4997         High 0.770758920
## 4998         High 0.166333697
## 4999          Low 0.819837560
## 5000         High 0.213086196
## 5001          Low 0.456291539
## 5002          Low 0.324606222
## 5003          Low 0.332413254
## 5004          Low 0.692755535
## 5005         High 0.388210383
## 5006          Low 0.480753810
## 5007         High 1.794807424
## 5008          Low 0.514215238
## 5009         High 0.449523427
## 5010          Low 0.598985240
## 5011         High 0.556823155
## 5012          Low 0.300146122
## 5013         High 0.074905177
## 5014         High 0.351373397
## 5015         High 0.721756361
## 5016         High 0.123902694
## 5017         High 0.547676922
## 5018          Low 0.006523642
## 5019          Low 0.438445709
## 5020          Low 0.743988820
## 5021         High 0.112836433
## 5022          Low 0.641370665
## 5023         High 0.050541909
## 5024          Low 0.011517406
## 5025         High 0.456291539
## 5026          Low 0.101621246
## 5027         High 0.233233927
## 5028          Low 0.224312971
## 5029          Low 1.063077475
## 5030          Low 0.101621246
## 5031         High 0.433984270
## 5032         High 0.436139076
## 5033         High 0.400523731
## 5034         High 0.576753137
## 5035         High 0.619062517
## 5036          Low 0.478598972
## 5037         High 0.277841261
## 5038          Low 0.408255235
## 5039          Low 0.416062678
## 5040          Low 0.324606222
## 5041         High 0.112836433
## 5042          Low 0.508638314
## 5043         High 0.219776680
## 5044          Low 0.099393781
## 5045         High 0.987227925
## 5046         High 0.679370564
## 5047         High 0.721756361
## 5048          Low 0.737519387
## 5049          Low 0.222305785
## 5050          Low 0.101621246
## 5051          Low 0.621293329
## 5052          Low 0.281284917
## 5053         High 0.656706737
## 5054         High 0.112760607
## 5055         High 0.032862744
## 5056          Low 0.576753137
## 5057         High 0.391525097
## 5058         High 0.884608253
## 5059         High 0.527675797
## 5060          Low 0.659217226
## 5061         High 0.512060381
## 5062         High 0.005680258
## 5063          Low 0.068232867
## 5064          Low 0.594599545
## 5065          Low 0.024042324
## 5066         High 0.101621246
## 5067         High 0.324606222
## 5068         High 0.011517406
## 5069          Low 0.101621246
## 5070          Low 0.400523731
## 5071          Low 1.013998335
## 5072         High 1.125541924
## 5073          Low 0.213086196
## 5074         High 0.659217226
## 5075          Low 0.121749933
## 5076         High 0.011517406
## 5077         High 0.233233927
## 5078         High 0.024042324
## 5079          Low 0.503061397
## 5080          Low 0.534368135
## 5081          Low 0.636909030
## 5082         High 0.121749933
## 5083         High 0.837684373
## 5084         High 0.480753810
## 5085          Low 0.681525475
## 5086         High 0.480829724
## 5087          Low 0.121749933
## 5088         High 0.679370564
## 5089          Low 0.344757459
## 5090         High 0.253306760
## 5091          Low 0.772989764
## 5092          Low 0.487446073
## 5093          Low 0.681525475
## 5094         High 0.681525475
## 5095         High 0.681525475
## 5096         High 0.413831977
## 5097         High 0.605677659
## 5098         High 0.681525475
## 5099         High 0.679370564
## 5100          Low 0.605677659
## 5101          Low 0.123902694
## 5102         High 0.032862744
## 5103         High 0.681525475
## 5104         High 0.456291539
## 5105         High 0.679370564
## 5106          Low 0.279995814
## 5107          Low 0.137275863
## 5108         High 0.603446852
## 5109         High 0.456291539
## 5110         High 0.679370564
## 5111         High 0.257366033
## 5112         High 1.193315948
## 5113          Low 0.213086196
## 5114          Low 0.721756361
## 5115          Low 0.770758920
## 5116          Low 0.101621246
## 5117         High 0.567754037
## 5118         High 0.730679706
## 5119         High 0.284456747
## 5120          Low 0.723987197
## 5121          Low 0.708295439
## 5122          Low 0.895762545
## 5123         High 0.316486967
## 5124          Low 0.782569080
## 5125         High 0.011517406
## 5126         High 0.857837975
## 5127          Low 0.077205786
## 5128          Low 0.238363566
## 5129         High 0.527675797
## 5130          Low 0.614600895
## 5131         High 1.049692249
## 5132         High 0.011517406
## 5133         High 0.679370564
## 5134         High 1.545236375
## 5135          Low 1.606920840
## 5136          Low 0.328175144
## 5137         High 0.268919510
## 5138         High 0.302300736
## 5139         High 0.759680622
## 5140         High 0.234273163
## 5141         High 0.800505088
## 5142          Low 0.790836528
## 5143          Low 0.235388300
## 5144          Low 0.344757459
## 5145         High 0.271149936
## 5146         High 0.657062320
## 5147         High 0.306761792
## 5148         High 0.547676922
## 5149         High 0.436139076
## 5150         High 0.177482330
## 5151         High 0.121749933
## 5152         High 0.679370564
## 5153         High 1.888493147
## 5154          Low 0.427216212
## 5155          Low 0.106076608
## 5156          Low 0.268919510
## 5157         High 0.101621246
## 5158          Low 0.355910556
## 5159         High 0.902455122
## 5160          Low 0.456291539
## 5161          Low 0.973842729
## 5162          Low 0.931887267
## 5163         High 1.004713451
## 5164         High 0.235388300
## 5165         High 0.735141382
## 5166          Low 0.050067372
## 5167          Low 0.681525475
## 5168          Low 0.469600068
## 5169          Low 0.213086196
## 5170          Low 0.422830704
## 5171         High 1.451250541
## 5172         High 0.681525475
## 5173          Low 0.028401288
## 5174          Low 0.188631658
## 5175         High 0.324606222
## 5176          Low 0.389370333
## 5177         High 1.013998335
## 5178          Low 0.391525097
## 5179         High 0.264614810
## 5180          Low 0.532061440
## 5181         High 0.332413254
## 5182          Low 0.692755535
## 5183         High 0.007860543
## 5184         High 0.413831977
## 5185         High 0.413831977
## 5186         High 0.512060381
## 5187         High 0.286381280
## 5188          Low 0.233233927
## 5189         High 0.567829952
## 5190          Low 0.569984832
## 5191         High 0.101621246
## 5192          Low 0.512060381
## 5193          Low 0.614600895
## 5194          Low 1.049692249
## 5195         High 0.547676922
## 5196         High 0.594599545
## 5197         High 1.368707806
## 5198         High 0.721756361
## 5199         High 0.567829952
## 5200          Low 0.567829952
## 5201         High 0.324606222
## 5202         High 0.101621246
## 5203         High 0.344757459
## 5204         High 0.026291667
## 5205         High 0.772989764
## 5206         High 0.054978670
## 5207         High 0.213086196
## 5208          Low 0.551099018
## 5209         High 1.271664429
## 5210          Low 0.442907156
## 5211         High 1.080924451
## 5212          Low 0.146192553
## 5213         High 0.316486967
## 5214          Low 0.782569080
## 5215         High 0.146870324
## 5216          Low 1.055024030
## 5217         High 0.726142117
## 5218          Low 0.445137882
## 5219         High 0.030591891
## 5220         High 0.436139076
## 5221         High 0.547676922
## 5222          Low 0.576753137
## 5223          Low 0.585868116
## 5224          Low 0.683832219
## 5225         High 0.933687176
## 5226         High 0.737519387
## 5227         High 0.222305785
## 5228         High 0.520129169
## 5229         High 0.992545860
## 5230          Low 0.770758920
## 5231         High 0.714987940
## 5232         High 0.534368135
## 5233         High 0.752912181
## 5234         High 0.244036736
## 5235         High 0.751795667
## 5236          Low 0.344757459
## 5237         High 0.224237076
## 5238          Low 0.101621246
## 5239         High 0.790912444
## 5240         High 0.815375860
## 5241         High 0.077205786
## 5242          Low 0.806452462
## 5243         High 0.355834647
## 5244         High 0.681525475
## 5245         High 1.125541924
## 5246          Low 1.259394586
## 5247         High 0.659217226
## 5248          Low 0.101621246
## 5249         High 0.547676922
## 5250          Low 0.011517406
## 5251         High 0.790912444
## 5252          Low 0.011517406
## 5253         High 0.121749933
## 5254          Low 0.024042324
## 5255         High 0.751795667
## 5256         High 0.226467295
## 5257          Low 0.574522340
## 5258          Low 0.795298222
## 5259         High 0.413907888
## 5260          Low 0.632447398
## 5261         High 0.324606222
## 5262         High 0.456291539
## 5263         High 0.436139076
## 5264         High 0.636909030
## 5265          Low 0.770758920
## 5266          Low 0.902455122
## 5267         High 1.360142814
## 5268         High 1.360142814
## 5269         High 0.101621246
## 5270          Low 0.715063856
## 5271          Low 0.547676922
## 5272          Low 0.184171852
## 5273         High 0.880146538
## 5274          Low 0.770758920
## 5275          Low 0.480829724
## 5276          Low 0.547676922
## 5277         High 0.086776370
## 5278          Low 0.279995814
## 5279         High 0.480753810
## 5280         High 1.029259407
## 5281         High 0.770758920
## 5282         High 0.681525475
## 5283          Low 0.257366033
## 5284          Low 1.193315948
## 5285         High 0.648063121
## 5286         High 0.681525475
## 5287          Low 0.032862744
## 5288          Low 0.101621246
## 5289         High 0.344757459
## 5290         High 0.213086196
## 5291         High 0.837684373
## 5292         High 0.257691601
## 5293         High 0.547676922
## 5294         High 0.101621246
## 5295          Low 0.871499272
## 5296         High 1.237087722
## 5297          Low 0.547676922
## 5298         High 0.084652533
## 5299         High 0.829416903
## 5300         High 1.123487792
## 5301          Low 1.239300842
## 5302          Low 0.549983624
## 5303          Low 1.152312429
## 5304         High 0.931887267
## 5305          Low 1.004713451
## 5306         High 0.324606222
## 5307         High 0.101621246
## 5308         High 0.815375860
## 5309         High 0.427216212
## 5310         High 0.902455122
## 5311         High 1.013998335
## 5312         High 0.594523630
## 5313         High 0.826606030
## 5314         High 0.101621246
## 5315          Low 0.770758920
## 5316         High 0.400523731
## 5317         High 0.958226674
## 5318         High 0.815375860
## 5319          Low 0.503061397
## 5320         High 0.547676922
## 5321          Low 0.759604706
## 5322         High 0.026291667
## 5323         High 0.525369106
## 5324         High 0.742873401
## 5325         High 0.324606222
## 5326         High 0.121749933
## 5327          Low 0.547676922
## 5328         High 0.764066391
## 5329         High 0.793067374
## 5330         High 0.344757459
## 5331         High 1.125541924
## 5332         High 0.764066391
## 5333         High 1.549409557
## 5334         High 0.121749933
## 5335         High 0.121749933
## 5336          Low 0.251000504
## 5337         High 0.268919510
## 5338          Low 0.567829952
## 5339         High 1.237085787
## 5340         High 0.344757459
## 5341         High 0.790912444
## 5342         High 1.237085787
## 5343         High 0.845887100
## 5344         High 0.101621246
## 5345         High 0.679370564
## 5346          Low 1.355153990
## 5347         High 1.517420550
## 5348          Low 0.567829952
## 5349          Low 0.024042324
## 5350          Low 0.547676922
## 5351         High 0.547676922
## 5352         High 0.469600068
## 5353         High 0.612446000
## 5354          Low 0.532061440
## 5355          Low 0.324606222
## 5356         High 0.324606222
## 5357          Low 0.819837560
## 5358         High 0.726142117
## 5359          Low 0.019729393
## 5360         High 0.764066391
## 5361         High 0.346619430
## 5362         High 0.751699942
## 5363         High 0.575561823
## 5364         High 0.505292163
## 5365          Low 0.235388300
## 5366         High 0.344757459
## 5367          Low 0.168487485
## 5368         High 1.092078815
## 5369          Low 1.517420550
## 5370         High 0.732834628
## 5371         High 0.117217158
## 5372         High 0.576753137
## 5373         High 0.121749933
## 5374         High 0.679370564
## 5375          Low 1.308809674
## 5376          Low 1.517420550
## 5377          Low 0.714987940
## 5378          Low 0.534368135
## 5379          Low 0.547676922
## 5380         High 0.567829952
## 5381         High 0.026291667
## 5382          Low 0.391525097
## 5383          Low 0.127268033
## 5384          Low 0.864731318
## 5385          Low 0.741757981
## 5386          Low 0.232341822
## 5387          Low 1.027383549
## 5388         High 0.770758920
## 5389         High 0.565194979
## 5390         High 0.895624046
## 5391          Low 0.054978670
## 5392          Low 0.378141090
## 5393          Low 0.567829952
## 5394         High 0.790912444
## 5395         High 0.324606222
## 5396         High 0.344757459
## 5397          Low 1.237085787
## 5398         High 0.871499272
## 5399         High 1.237087722
## 5400         High 0.547676922
## 5401          Low 0.547676922
## 5402         High 1.237085787
## 5403         High 0.574446425
## 5404         High 0.121749933
## 5405         High 0.026291667
## 5406          Low 0.324606222
## 5407          Low 0.391525097
## 5408         High 0.026291667
## 5409         High 0.871499272
## 5410         High 0.992545860
## 5411         High 0.681525475
## 5412         High 0.636909030
## 5413          Low 0.011517406
## 5414          Low 1.934885523
## 5415          Low 0.547676922
## 5416          Low 0.121749933
## 5417          Low 0.436139076
## 5418          Low 0.569984832
## 5419          Low 0.389370333
## 5420         High 0.567829952
## 5421          Low 1.237085787
## 5422         High 0.592292826
## 5423         High 0.436139076
## 5424         High 0.213086196
## 5425         High 0.391525097
## 5426          Low 0.547676922
## 5427          Low 0.188555773
## 5428          Low 0.391525097
## 5429          Low 0.545522051
## 5430         High 0.567829952
## 5431          Low 0.391525097
## 5432         High 0.567829952
## 5433         High 0.679370564
## 5434         High 0.547676922
## 5435          Low 1.170159441
## 5436         High 1.281703393
## 5437          Low 0.871499272
## 5438         High 0.436139076
## 5439          Low 0.547676922
## 5440          Low 0.931887267
## 5441          Low 1.004713451
## 5442         High 0.436139076
## 5443          Low 0.213086196
## 5444         High 0.547676922
## 5445          Low 0.086776370
## 5446          Low 0.213086196
## 5447          Low 0.391525097
## 5448          Low 1.237085787
## 5449          Low 0.567829952
## 5450          Low 0.790912444
## 5451          Low 0.568110965
## 5452          Low 0.324606222
## 5453         High 0.547676922
## 5454          Low 0.681525475
## 5455         High 0.681525475
## 5456          Low 0.307051761
## 5457         High 0.547676922
## 5458          Low 0.480829724
## 5459         High 0.026291667
## 5460         High 0.436139076
## 5461         High 0.659217226
## 5462          Low 0.190785711
## 5463         High 0.436139076
## 5464         High 0.121749933
## 5465         High 0.614600895
## 5466         High 0.772989764
## 5467         High 0.257343730
## 5468          Low 1.193315948
## 5469         High 0.297839702
## 5470         High 0.679370564
## 5471         High 0.549907709
## 5472          Low 0.698100537
## 5473         High 0.242155078
## 5474          Low 0.034988380
## 5475         High 0.034988380
## 5476          Low 0.657062320
## 5477         High 1.192964318
## 5478          Low 1.424687348
## 5479          Low 0.549983624
## 5480          Low 1.152312429
## 5481         High 0.436139076
## 5482         High 0.726142117
## 5483          Low 0.621293329
## 5484         High 0.324606222
## 5485          Low 0.436139076
## 5486         High 0.213086196
## 5487          Low 0.746219660
## 5488          Low 0.110532490
## 5489          Low 0.835529438
## 5490         High 0.930340883
## 5491          Low 1.317397499
## 5492          Low 0.233233927
## 5493         High 0.777527370
## 5494         High 0.482426875
## 5495          Low 0.123902694
## 5496          Low 0.416062678
## 5497         High 0.828760965
## 5498          Low 0.576753137
## 5499         High 0.101621246
## 5500         High 0.054978670
## 5501         High 0.567829952
## 5502         High 0.790912444
## 5503         High 0.344757459
## 5504          Low 0.567829952
## 5505          Low 1.114497929
## 5506          Low 1.360142814
## 5507         High 0.547676922
## 5508          Low 0.547676922
## 5509         High 0.532061440
## 5510         High 0.181941985
## 5511          Low 0.770758920
## 5512          Low 0.547676922
## 5513         High 0.068232867
## 5514         High 0.213086196
## 5515         High 0.547676922
## 5516         High 0.168487485
## 5517         High 0.107190533
## 5518         High 1.237087722
## 5519         High 1.458847014
## 5520          Low 0.681525475
## 5521          Low 0.032862744
## 5522          Low 0.681525475
## 5523         High 0.456291539
## 5524         High 0.590137939
## 5525          Low 0.605677659
## 5526          Low 0.569984832
## 5527         High 0.547676922
## 5528          Low 0.030591891
## 5529         High 0.547676922
## 5530         High 0.043820984
## 5531         High 0.088334830
## 5532         High 0.567829952
## 5533         High 0.790912444
## 5534          Low 0.615273994
## 5535         High 0.121749933
## 5536         High 0.659217226
## 5537         High 0.547676922
## 5538          Low 0.213086196
## 5539         High 0.101621246
## 5540          Low 0.766520318
## 5541         High 0.225985634
## 5542          Low 0.210931958
## 5543          Low 0.770758920
## 5544          Low 0.436139076
## 5545         High 0.235388300
## 5546         High 0.242079179
## 5547         High 0.770758920
## 5548         High 0.436139076
## 5549          Low 0.460677101
## 5550          Low 0.436139076
## 5551         High 0.168487485
## 5552         High 0.335835049
## 5553         High 0.748450500
## 5554         High 0.413831977
## 5555         High 0.137275863
## 5556         High 0.322451558
## 5557         High 0.770834837
## 5558         High 1.259394586
## 5559         High 0.503061397
## 5560         High 0.547676922
## 5561         High 0.054978670
## 5562         High 0.257366033
## 5563         High 1.193315948
## 5564         High 0.770758920
## 5565         High 0.770758920
## 5566          Low 0.168487485
## 5567         High 0.436139076
## 5568         High 0.567829952
## 5569         High 0.213086196
## 5570         High 0.770758920
## 5571         High 0.417235216
## 5572         High 0.770758920
## 5573         High 1.308809674
## 5574         High 1.424687348
## 5575         High 0.491907587
## 5576         High 0.057122956
## 5577          Low 0.380371751
## 5578          Low 0.512060381
## 5579         High 0.110532490
## 5580         High 0.835529438
## 5581         High 0.233233927
## 5582         High 0.679370564
## 5583         High 0.681525475
## 5584         High 0.032862744
## 5585         High 0.547676922
## 5586          Low 0.011517406
## 5587          Low 0.054978670
## 5588          Low 0.121749933
## 5589         High 0.344757459
## 5590         High 1.013998335
## 5591         High 0.179636263
## 5592          Low 0.480829724
## 5593         High 0.480829724
## 5594         High 0.547676922
## 5595         High 0.086776370
## 5596         High 0.681525475
## 5597         High 0.547676922
## 5598         High 0.547676922
## 5599         High 0.480829724
## 5600          Low 0.137275863
## 5601         High 0.050541909
## 5602          Low 0.491907587
## 5603          Low 0.436139076
## 5604          Low 0.324606222
## 5605          Low 0.389370333
## 5606         High 0.057122956
## 5607         High 0.764066391
## 5608         High 0.547676922
## 5609         High 0.086776370
## 5610         High 0.480829724
## 5611         High 0.681525475
## 5612         High 0.322451558
## 5613         High 0.659217226
## 5614         High 0.101621246
## 5615          Low 0.371855287
## 5616          Low 0.412536345
## 5617          Low 1.531437847
## 5618          Low 0.547676922
## 5619          Low 0.503061397
## 5620         High 0.534368135
## 5621          Low 0.532061440
## 5622         High 0.819837560
## 5623          Low 0.730459160
## 5624         High 1.950969883
## 5625         High 1.114497929
## 5626         High 0.819837560
## 5627         High 0.520129169
## 5628         High 0.992545860
## 5629         High 0.136161340
## 5630         High 0.764066391
## 5631         High 0.527599883
## 5632          Low 0.132817866
## 5633          Low 0.659217226
## 5634         High 0.101621246
## 5635         High 0.605677659
## 5636         High 0.324606222
## 5637         High 0.121749933
## 5638          Low 0.344757459
## 5639          Low 0.306761792
## 5640          Low 0.605677659
## 5641         High 0.650369857
## 5642          Low 0.375986342
## 5643         High 0.257343730
## 5644         High 1.193315948
## 5645         High 0.770758920
## 5646          Low 0.770758920
## 5647         High 0.101621246
## 5648          Low 0.770758920
## 5649         High 0.121749933
## 5650          Low 0.679370564
## 5651         High 1.308809674
## 5652         High 1.517420550
## 5653          Low 0.121749933
## 5654          Low 0.679370564
## 5655         High 0.676055629
## 5656          Low 1.484032621
## 5657         High 0.770758920
## 5658         High 0.121749933
## 5659          Low 0.436139076
## 5660          Low 0.324606222
## 5661         High 0.480753810
## 5662         High 0.144039162
## 5663         High 0.547676922
## 5664         High 0.324606222
## 5665         High 0.599431401
## 5666         High 0.659217226
## 5667         High 0.344757459
## 5668         High 0.770758920
## 5669          Low 0.272975487
## 5670          Low 0.680914798
## 5671         High 0.332413254
## 5672         High 0.692755535
## 5673          Low 0.391525097
## 5674          Low 0.770758920
## 5675         High 0.344757459
## 5676          Low 0.605677659
## 5677          Low 0.054978670
## 5678          Low 0.344757459
## 5679         High 0.567829952
## 5680          Low 0.770758920
## 5681          Low 0.121749933
## 5682          Low 0.121749933
## 5683         High 0.213086196
## 5684          Low 0.011517406
## 5685         High 0.293378692
## 5686          Low 0.193091557
## 5687         High 0.121749933
## 5688          Low 1.308809674
## 5689         High 0.815375860
## 5690         High 0.503061397
## 5691         High 0.132893717
## 5692          Low 1.163466811
## 5693         High 0.436139076
## 5694          Low 0.826606030
## 5695         High 0.748450500
## 5696          Low 0.815375860
## 5697          Low 0.503061397
## 5698          Low 0.436139076
## 5699         High 0.503061397
## 5700          Low 0.534368135
## 5701         High 0.024042324
## 5702          Low 0.121749933
## 5703         High 0.761835548
## 5704          Low 0.440676432
## 5705          Low 0.121749933
## 5706          Low 0.837684373
## 5707          Low 0.233233927
## 5708         High 0.547676922
## 5709          Low 0.013443446
## 5710         High 0.286381280
## 5711          Low 0.576677222
## 5712         High 0.871499272
## 5713          Low 1.114497929
## 5714         High 0.819837560
## 5715          Low 0.137275863
## 5716          Low 0.547676922
## 5717          Low 0.642173759
## 5718         High 0.329143284
## 5719          Low 0.650369857
## 5720         High 0.547676922
## 5721          Low 0.213086196
## 5722         High 0.101621246
## 5723         High 0.790912444
## 5724         High 1.447871554
## 5725          Low 0.659217226
## 5726         High 0.224237076
## 5727         High 0.712833022
## 5728         High 0.079355292
## 5729         High 0.770758920
## 5730         High 0.681525475
## 5731         High 0.681525475
## 5732         High 0.101621246
## 5733          Low 0.215316342
## 5734          Low 0.268843607
## 5735          Low 0.417923151
## 5736         High 0.344757459
## 5737          Low 0.790912444
## 5738         High 0.137275863
## 5739         High 0.659217226
## 5740         High 0.101621246
## 5741          Low 0.242079179
## 5742          Low 0.576753137
## 5743          Low 0.063964825
## 5744          Low 0.659217226
## 5745         High 0.547676922
## 5746          Low 0.547676922
## 5747         High 0.846683703
## 5748         High 1.315166617
## 5749         High 1.424687348
## 5750         High 0.011517406
## 5751         High 0.612446000
## 5752         High 0.224237076
## 5753         High 0.712833022
## 5754         High 0.547676922
## 5755         High 0.213086196
## 5756         High 0.436139076
## 5757         High 0.101621246
## 5758          Low 0.233233927
## 5759         High 0.837684373
## 5760          Low 0.233233927
## 5761         High 0.436139076
## 5762         High 0.110532490
## 5763         High 0.835529438
## 5764         High 0.146192553
## 5765         High 0.819837560
## 5766          Low 0.636909030
## 5767         High 0.339796523
## 5768         High 0.737171444
## 5769         High 0.765181812
## 5770         High 0.681525475
## 5771         High 0.819837560
## 5772         High 1.973278815
## 5773          Low 0.150651206
## 5774          Low 0.819837560
## 5775         High 0.121749933
## 5776         High 0.576900302
## 5777         High 1.198157843
## 5778         High 1.571718437
## 5779         High 1.192964318
## 5780         High 0.772989764
## 5781         High 0.819837560
## 5782          Low 0.770758920
## 5783         High 0.469600068
## 5784          Low 0.680633144
## 5785          Low 0.769496331
## 5786         High 0.519792168
## 5787          Low 0.428407481
## 5788         High 0.251905029
## 5789         High 0.520129169
## 5790         High 0.569984832
## 5791          Low 0.389370333
## 5792          Low 0.621293329
## 5793          Low 0.344757459
## 5794          Low 0.679370564
## 5795          Low 0.547676922
## 5796         High 0.871499272
## 5797         High 1.114497929
## 5798         High 0.224237076
## 5799         High 0.712833022
## 5800         High 0.436139076
## 5801          Low 0.456291539
## 5802         High 0.567829952
## 5803          Low 0.790912444
## 5804         High 0.011517406
## 5805          Low 0.567829952
## 5806         High 0.233233927
## 5807          Low 0.324606222
## 5808         High 0.101621246
## 5809          Low 0.793067374
## 5810         High 0.324606222
## 5811          Low 0.500295250
## 5812         High 0.659217226
## 5813          Low 0.121749933
## 5814         High 0.679370564
## 5815          Low 0.819837560
## 5816         High 0.121749933
## 5817          Low 0.021878396
## 5818         High 0.527675797
## 5819         High 0.547676922
## 5820         High 0.810120046
## 5821         High 0.107689649
## 5822         High 0.556564451
## 5823         High 0.751795667
## 5824         High 1.237087722
## 5825         High 0.525369106
## 5826         High 0.101621246
## 5827          Low 1.237085787
## 5828         High 0.057122956
## 5829          Low 0.567829952
## 5830         High 1.025152679
## 5831          Low 0.011517406
## 5832         High 0.679370564
## 5833          Low 1.013998335
## 5834         High 1.147850677
## 5835         High 0.592292826
## 5836          Low 0.532061440
## 5837          Low 0.819837560
## 5838          Low 0.871499272
## 5839          Low 1.114497929
## 5840          Low 0.728077900
## 5841          Low 0.770758920
## 5842          Low 0.101621246
## 5843          Low 0.436139076
## 5844         High 0.770758920
## 5845          Low 0.011517406
## 5846         High 0.344757459
## 5847         High 0.723987197
## 5848          Low 0.213086196
## 5849          Low 0.547676922
## 5850         High 0.819837560
## 5851         High 0.659217226
## 5852         High 0.532061440
## 5853         High 0.567829952
## 5854          Low 0.790912444
## 5855          Low 0.746219660
## 5856          Low 0.819837560
## 5857          Low 0.224237076
## 5858          Low 0.712833022
## 5859         High 0.188631658
## 5860          Low 0.329143284
## 5861         High 0.770758920
## 5862          Low 0.324606222
## 5863         High 0.456291539
## 5864         High 0.590137939
## 5865         High 0.257343730
## 5866         High 1.193315948
## 5867         High 0.460753013
## 5868          Low 0.475247850
## 5869         High 0.412536345
## 5870          Low 0.168487485
## 5871         High 0.659217226
## 5872          Low 0.344757459
## 5873         High 0.659217226
## 5874          Low 0.344757459
## 5875          Low 1.211497892
## 5876          Low 1.628714632
## 5877         High 0.772989764
## 5878         High 0.469600068
## 5879         High 0.824299262
## 5880         High 0.030591891
## 5881          Low 0.815375860
## 5882          Low 0.436139076
## 5883          Low 0.456291539
## 5884          Low 0.772989764
## 5885          Low 0.837684373
## 5886          Low 0.233233927
## 5887          Low 0.576753137
## 5888         High 0.213086196
## 5889          Low 0.344757459
## 5890         High 0.574446425
## 5891         High 0.011517406
## 5892         High 0.790912444
## 5893         High 0.409370582
## 5894         High 0.826530113
## 5895         High 1.323276263
## 5896         High 0.566370945
## 5897         High 0.757373864
## 5898         High 0.837684373
## 5899          Low 0.233233927
## 5900         High 0.213086196
## 5901          Low 0.743988820
## 5902          Low 0.402754418
## 5903         High 0.400523731
## 5904         High 0.958226674
## 5905         High 0.018734564
## 5906          Low 0.224237076
## 5907         High 0.712833022
## 5908         High 0.815375860
## 5909         High 0.759604706
## 5910         High 0.292821068
## 5911         High 0.528715272
## 5912         High 0.157415391
## 5913         High 0.770758920
## 5914         High 0.992545860
## 5915          Low 0.992545860
## 5916          Low 0.166110733
## 5917          Low 0.861741972
## 5918          Low 0.547676922
## 5919          Low 0.233233927
## 5920          Low 0.567829952
## 5921          Low 0.819837560
## 5922          Low 0.324606222
## 5923         High 0.121749933
## 5924          Low 0.547676922
## 5925         High 0.224237076
## 5926          Low 0.712833022
## 5927         High 0.819837560
## 5928         High 0.324606222
## 5929          Low 0.569984832
## 5930          Low 0.318056861
## 5931         High 0.520129169
## 5932         High 0.150651206
## 5933         High 0.317914524
## 5934         High 0.698078228
## 5935          Low 0.770758920
## 5936         High 0.436139076
## 5937          Low 0.770758920
## 5938         High 0.335759141
## 5939         High 0.224237076
## 5940         High 0.712833022
## 5941          Low 0.475247850
## 5942         High 0.412536345
## 5943         High 0.634195960
## 5944         High 0.992545860
## 5945          Low 0.101621246
## 5946         High 0.456291539
## 5947          Low 1.310881577
## 5948          Low 1.483547426
## 5949          Low 0.770758920
## 5950          Low 0.121749933
## 5951          Low 0.344757459
## 5952          Low 0.329143284
## 5953         High 0.286381280
## 5954         High 0.520129169
## 5955          Low 0.412536345
## 5956          Low 1.096167160
## 5957         High 0.213086196
## 5958         High 0.344757459
## 5959         High 0.712833022
## 5960         High 0.460753013
## 5961         High 0.601216045
## 5962         High 0.770758920
## 5963          Low 0.547676922
## 5964          Low 0.121749933
## 5965         High 0.458446363
## 5966          Low 0.145456894
## 5967         High 0.007860543
## 5968          Low 0.224237076
## 5969         High 0.712833022
## 5970          Low 0.032862744
## 5971         High 0.389370333
## 5972          Low 0.098845916
## 5973         High 1.308809674
## 5974          Low 1.517420550
## 5975         High 0.815375860
## 5976          Low 0.503061397
## 5977          Low 0.476292309
## 5978          Low 0.772989764
## 5979         High 0.576753137
## 5980         High 0.525369106
## 5981         High 0.233233927
## 5982          Low 0.324606222
## 5983         High 0.520129169
## 5984         High 0.992545860
## 5985         High 1.714524089
## 5986         High 0.547676922
## 5987         High 0.011517406
## 5988          Low 0.302300736
## 5989         High 0.714987940
## 5990         High 0.027513818
## 5991         High 0.659217226
## 5992         High 0.567829952
## 5993         High 0.790912444
## 5994          Low 0.382602414
## 5995         High 0.480753810
## 5996         High 0.324606222
## 5997         High 0.684147187
## 5998          Low 0.353595636
## 5999         High 0.584485020
## 6000          Low 0.006303726
## 6001         High 0.157339520
## 6002          Low 0.641370665
## 6003         High 0.050541909
## 6004          Low 0.902455122
## 6005         High 1.125541924
## 6006         High 0.487446073
## 6007          Low 0.743988820
## 6008          Low 0.089284592
## 6009         High 1.647503610
## 6010          Low 0.532061440
## 6011          Low 0.224237076
## 6012          Low 0.712833022
## 6013         High 0.659217226
## 6014         High 0.478523059
## 6015          Low 0.614676810
## 6016          Low 0.456291539
## 6017         High 0.679370564
## 6018          Low 0.251905029
## 6019          Low 0.520129169
## 6020          Low 0.114988832
## 6021          Low 0.224237076
## 6022         High 0.712833022
## 6023          Low 0.547676922
## 6024         High 0.757373864
## 6025         High 0.770758920
## 6026          Low 0.523214244
## 6027         High 0.699372110
## 6028         High 0.324606222
## 6029         High 0.121749933
## 6030          Low 0.819837560
## 6031          Low 0.547676922
## 6032          Low 0.322451558
## 6033          Low 0.547676922
## 6034          Low 0.324606222
## 6035          Low 0.681525475
## 6036          Low 0.185210910
## 6037         High 0.681525475
## 6038          Low 0.032862744
## 6039          Low 0.815375860
## 6040          Low 0.532061440
## 6041         High 0.324606222
## 6042         High 0.596575970
## 6043         High 0.819837560
## 6044         High 0.636909030
## 6045         High 1.517420550
## 6046          Low 0.445137882
## 6047         High 0.224237076
## 6048          Low 0.712833022
## 6049         High 1.211497892
## 6050         High 1.517420550
## 6051          Low 0.846683703
## 6052          Low 1.315166617
## 6053         High 0.233604083
## 6054          Low 0.961476823
## 6055         High 0.819837560
## 6056         High 0.815375860
## 6057         High 0.764066391
## 6058         High 0.233233927
## 6059          Low 0.567829952
## 6060         High 0.558830866
## 6061          Low 0.123902694
## 6062          Low 0.067552586
## 6063          Low 0.770758920
## 6064          Low 0.772989764
## 6065          Low 0.567829952
## 6066         High 0.306761792
## 6067          Low 0.224237076
## 6068         High 0.712833022
## 6069         High 0.330182668
## 6070          Low 0.224237076
## 6071          Low 0.712833022
## 6072         High 0.961476823
## 6073         High 0.770758920
## 6074         High 0.751841378
## 6075          Low 0.513131151
## 6076         High 0.819837560
## 6077         High 0.456291539
## 6078         High 0.902455122
## 6079          Low 0.748450500
## 6080         High 0.440676432
## 6081          Low 0.772989764
## 6082         High 0.659217226
## 6083         High 0.101621246
## 6084         High 0.679370564
## 6085          Low 1.360142814
## 6086         High 1.483547426
## 6087          Low 0.902455122
## 6088         High 1.125541924
## 6089         High 0.547676922
## 6090          Low 1.354872723
## 6091          Low 0.114988832
## 6092          Low 0.757373864
## 6093          Low 0.644181496
## 6094          Low 0.659217226
## 6095          Low 0.790912444
## 6096          Low 0.547676922
## 6097          Low 0.256799450
## 6098          Low 0.621293329
## 6099          Low 0.137275863
## 6100         High 0.746295576
## 6101         High 0.344757459
## 6102          Low 0.344757459
## 6103          Low 0.478598972
## 6104         High 0.101621246
## 6105          Low 0.344757459
## 6106         High 0.101621246
## 6107         High 0.790912444
## 6108         High 1.308809674
## 6109         High 1.517420550
## 6110         High 0.344757459
## 6111         High 0.679370564
## 6112         High 0.213086196
## 6113          Low 0.456291539
## 6114         High 0.547676922
## 6115         High 0.505292163
## 6116         High 0.480753810
## 6117         High 0.233233927
## 6118         High 0.242155078
## 6119          Low 0.433984270
## 6120          Low 0.746295576
## 6121          Low 1.013998335
## 6122         High 0.681525475
## 6123          Low 0.032862744
## 6124          Low 0.086776370
## 6125          Low 0.382602414
## 6126         High 0.188555773
## 6127          Low 0.458446363
## 6128         High 0.759604706
## 6129         High 0.101621246
## 6130          Low 0.547676922
## 6131          Low 0.286381280
## 6132          Low 0.871499272
## 6133          Low 0.547676922
## 6134         High 0.224237076
## 6135         High 0.712833022
## 6136         High 0.659217226
## 6137          Low 0.456291539
## 6138         High 0.057122956
## 6139          Low 0.213086196
## 6140         High 0.101621246
## 6141          Low 0.659217226
## 6142         High 1.571718437
## 6143          Low 0.255537126
## 6144         High 0.322451558
## 6145         High 0.433984270
## 6146          Low 0.603446852
## 6147          Low 0.224237076
## 6148         High 0.712833022
## 6149          Low 0.819837560
## 6150         High 0.171907919
## 6151          Low 0.679370564
## 6152          Low 0.324606222
## 6153          Low 0.619062517
## 6154         High 0.478598972
## 6155          Low 0.679370564
## 6156          Low 0.846683703
## 6157          Low 0.634195960
## 6158         High 1.114497929
## 6159          Low 0.815375860
## 6160         High 0.503061397
## 6161         High 0.770758920
## 6162         High 0.837684373
## 6163          Low 0.464625510
## 6164         High 0.478523059
## 6165          Low 0.224237076
## 6166         High 0.712833022
## 6167         High 0.213086196
## 6168         High 0.770758920
## 6169          Low 0.458446363
## 6170          Low 0.480753810
## 6171         High 0.157339520
## 6172         High 0.770758920
## 6173          Low 0.101621246
## 6174          Low 0.532061440
## 6175         High 0.681525475
## 6176         High 0.032862744
## 6177         High 0.085654283
## 6178         High 0.703833774
## 6179         High 0.324606222
## 6180         High 0.101621246
## 6181         High 0.819837560
## 6182         High 0.121749933
## 6183         High 0.679370564
## 6184         High 0.150651206
## 6185         High 1.360142814
## 6186         High 1.483547426
## 6187         High 0.292821068
## 6188         High 0.547676922
## 6189          Low 0.121749933
## 6190          Low 0.229723034
## 6191          Low 1.816583402
## 6192          Low 0.574446425
## 6193          Low 0.577234922
## 6194          Low 0.110532490
## 6195          Low 0.835529438
## 6196         High 0.224237076
## 6197          Low 0.712833022
## 6198         High 0.770758920
## 6199          Low 0.121749933
## 6200         High 0.731496125
## 6201         High 0.659217226
## 6202         High 0.790912444
## 6203          Low 0.123902694
## 6204         High 0.329143284
## 6205         High 0.344757459
## 6206         High 0.790912444
## 6207         High 0.007914226
## 6208         High 1.795704271
## 6209          Low 0.558025821
## 6210         High 0.547676922
## 6211          Low 0.011517406
## 6212         High 0.790912444
## 6213         High 0.770758920
## 6214         High 0.324606222
## 6215          Low 0.213086196
## 6216         High 0.456291539
## 6217          Low 0.819837560
## 6218         High 0.242155078
## 6219         High 0.433984270
## 6220         High 0.346912162
## 6221          Low 0.086776370
## 6222         High 0.436139076
## 6223          Low 0.703833774
## 6224         High 0.028838914
## 6225         High 0.596754434
## 6226          Low 0.614600895
## 6227         High 0.168487485
## 6228         High 0.011517406
## 6229         High 0.679370564
## 6230         High 0.748450500
## 6231         High 0.018734564
## 6232          Low 0.407139888
## 6233         High 0.007860543
## 6234          Low 0.612446000
## 6235         High 0.346912162
## 6236          Low 0.612446000
## 6237          Low 0.442907156
## 6238          Low 1.261290834
## 6239         High 0.612446000
## 6240          Low 0.835529438
## 6241         High 1.204547635
## 6242          Low 1.382546764
## 6243         High 0.026291667
## 6244         High 1.142015541
## 6245         High 1.325679607
## 6246          Low 0.077205786
## 6247         High 0.770758920
## 6248         High 0.121749933
## 6249         High 0.322451558
## 6250          Low 0.433984270
## 6251         High 0.681525475
## 6252          Low 0.770758920
## 6253         High 1.994217352
## 6254          Low 0.500295250
## 6255         High 0.123902694
## 6256          Low 0.032862744
## 6257          Low 0.503061397
## 6258          Low 0.534368135
## 6259          Low 1.114497929
## 6260          Low 1.483547426
## 6261         High 0.171907919
## 6262          Low 0.679370564
## 6263         High 0.300146122
## 6264         High 0.436139076
## 6265         High 0.819837560
## 6266         High 0.605677659
## 6267          Low 0.534368135
## 6268          Low 0.659217226
## 6269          Low 0.681525475
## 6270          Low 1.147850677
## 6271          Low 1.549409557
## 6272         High 0.296055295
## 6273         High 0.746219660
## 6274         High 0.770758920
## 6275          Low 0.233233927
## 6276          Low 0.681525475
## 6277          Low 0.024042324
## 6278         High 0.512060381
## 6279          Low 0.884608253
## 6280          Low 0.547676922
## 6281          Low 0.772989764
## 6282          Low 0.532061440
## 6283          Low 0.500295250
## 6284         High 0.770758920
## 6285          Low 0.121749933
## 6286         High 0.286381280
## 6287         High 0.318056861
## 6288          Low 0.719449609
## 6289          Low 0.603446852
## 6290         High 0.900224263
## 6291          Low 1.356661036
## 6292          Low 0.150651206
## 6293          Low 0.391525097
## 6294          Low 0.764066391
## 6295          Low 0.013443446
## 6296         High 0.469600068
## 6297          Low 0.770758920
## 6298          Low 0.436139076
## 6299          Low 0.902455122
## 6300         High 0.547676922
## 6301          Low 0.121749933
## 6302          Low 0.369218475
## 6303          Low 0.456291539
## 6304         High 0.790912444
## 6305          Low 0.659217226
## 6306         High 0.436139076
## 6307          Low 0.659217226
## 6308          Low 0.057122956
## 6309          Low 0.757373864
## 6310         High 0.443612973
## 6311          Low 1.237085787
## 6312          Low 0.344757459
## 6313          Low 0.790912444
## 6314         High 0.567829952
## 6315          Low 0.213086196
## 6316         High 0.046034621
## 6317         High 0.194206546
## 6318          Low 0.032862744
## 6319          Low 0.476292309
## 6320          Low 0.770758920
## 6321          Low 0.456291539
## 6322         High 0.819837560
## 6323         High 0.329143284
## 6324         High 0.770758920
## 6325          Low 0.233233927
## 6326         High 0.746219660
## 6327          Low 0.007914226
## 6328         High 0.603446852
## 6329          Low 0.329143284
## 6330         High 0.731496125
## 6331         High 0.007914226
## 6332         High 0.251223539
## 6333          Low 0.772989764
## 6334         High 0.329143284
## 6335          Low 0.324606222
## 6336         High 0.329143284
## 6337          Low 0.007914226
## 6338         High 0.436139076
## 6339          Low 0.121749933
## 6340         High 0.007914226
## 6341          Low 0.224237076
## 6342         High 0.712833022
## 6343          Low 0.335759141
## 6344         High 0.770758920
## 6345          Low 0.024042324
## 6346         High 0.436139076
## 6347         High 0.503061397
## 6348         High 0.534368135
## 6349          Low 0.369218475
## 6350         High 0.026291667
## 6351          Low 0.480753810
## 6352         High 0.726142117
## 6353         High 0.369218475
## 6354         High 0.828760965
## 6355          Low 0.770758920
## 6356         High 0.146192553
## 6357          Low 0.748450500
## 6358          Low 0.440676432
## 6359          Low 1.549409557
## 6360         High 0.547676922
## 6361         High 0.316429040
## 6362          Low 0.772989764
## 6363          Low 0.681525475
## 6364         High 0.289809902
## 6365          Low 0.547676922
## 6366         High 0.746219660
## 6367          Low 0.574446425
## 6368         High 0.251905029
## 6369         High 0.634195960
## 6370         High 0.746219660
## 6371          Low 0.400523731
## 6372          Low 0.958226674
## 6373          Low 0.018734564
## 6374          Low 0.681525475
## 6375          Low 0.331373868
## 6376          Low 1.360142814
## 6377          Low 1.483547426
## 6378          Low 0.386578816
## 6379          Low 0.332413254
## 6380         High 0.692755535
## 6381          Low 0.101621246
## 6382         High 0.576753137
## 6383          Low 0.902455122
## 6384         High 1.125541924
## 6385         High 0.373679776
## 6386         High 0.121749933
## 6387          Low 0.679370564
## 6388         High 0.569984832
## 6389          Low 0.099469580
## 6390          Low 0.547676922
## 6391          Low 0.422754792
## 6392         High 0.659217226
## 6393          Low 0.101621246
## 6394         High 0.503061397
## 6395         High 0.101621246
## 6396         High 0.726142117
## 6397          Low 0.300146122
## 6398         High 0.726142117
## 6399          Low 0.300146122
## 6400          Low 0.770758920
## 6401          Low 0.324606222
## 6402          Low 0.416062678
## 6403          Low 0.726142117
## 6404         High 0.300146122
## 6405         High 0.257366033
## 6406          Low 1.193315948
## 6407          Low 0.089284592
## 6408         High 0.411250508
## 6409          Low 0.757373864
## 6410          Low 0.547676922
## 6411         High 0.233233927
## 6412          Low 0.770758920
## 6413         High 0.382241648
## 6414         High 0.777059021
## 6415          Low 0.400523731
## 6416          Low 0.958226674
## 6417         High 0.057122956
## 6418          Low 0.819837560
## 6419          Low 0.726142117
## 6420          Low 0.300146122
## 6421         High 0.902455122
## 6422         High 1.348629856
## 6423          Low 0.748450500
## 6424          Low 0.416062678
## 6425         High 0.307051761
## 6426         High 0.770758920
## 6427         High 0.770758920
## 6428          Low 0.063964825
## 6429          Low 0.114988832
## 6430         High 0.063964825
## 6431          Low 0.764066391
## 6432          Low 0.684343435
## 6433          Low 0.971542872
## 6434         High 0.603446852
## 6435         High 0.679370564
## 6436          Low 0.902455122
## 6437          Low 0.346912162
## 6438          Low 0.612446000
## 6439          Low 0.730459160
## 6440         High 1.011781838
## 6441          Low 0.746219660
## 6442         High 0.819837560
## 6443          Low 0.324606222
## 6444         High 0.681525475
## 6445          Low 0.961476823
## 6446          Low 0.255537126
## 6447          Low 0.525445020
## 6448         High 0.770758920
## 6449         High 0.520129169
## 6450         High 0.992545860
## 6451          Low 0.090485617
## 6452         High 0.233233927
## 6453          Low 0.523214244
## 6454         High 0.567829952
## 6455          Low 0.790912444
## 6456          Low 0.547676922
## 6457          Low 0.114988832
## 6458         High 0.300070216
## 6459         High 0.011517406
## 6460          Low 0.837684373
## 6461          Low 0.770758920
## 6462          Low 0.745327324
## 6463          Low 0.315907023
## 6464         High 0.659217226
## 6465          Low 0.011517406
## 6466          Low 0.902455122
## 6467          Low 0.018734564
## 6468         High 0.436139076
## 6469          Low 0.659217226
## 6470          Low 0.121749933
## 6471         High 0.121749933
## 6472         High 1.036307027
## 6473          Low 0.944006555
## 6474         High 1.310881577
## 6475          Low 0.520129169
## 6476         High 0.751795667
## 6477          Low 2.017896684
## 6478         High 0.961476823
## 6479         High 0.364833096
## 6480         High 0.532061440
## 6481         High 0.101621246
## 6482         High 0.770758920
## 6483          Low 0.121749933
## 6484          Low 0.213086196
## 6485          Low 0.317914524
## 6486         High 0.255537126
## 6487          Low 0.525445020
## 6488         High 0.547676922
## 6489         High 0.770758920
## 6490         High 0.489280089
## 6491          Low 0.324606222
## 6492         High 0.257366033
## 6493          Low 1.193315948
## 6494         High 0.547676922
## 6495          Low 0.636909030
## 6496         High 0.032862744
## 6497          Low 0.433984270
## 6498          Low 0.369218475
## 6499          Low 0.101621246
## 6500          Low 0.344757459
## 6501          Low 0.795298222
## 6502          Low 0.253306760
## 6503         High 0.532061440
## 6504          Low 0.770758920
## 6505          Low 0.458446363
## 6506          Low 0.547676922
## 6507          Low 0.318056861
## 6508          Low 0.520129169
## 6509         High 0.684343435
## 6510          Low 0.500526699
## 6511          Low 0.114988832
## 6512          Low 0.532061440
## 6513         High 0.815375860
## 6514          Low 0.746219660
## 6515          Low 0.532061440
## 6516          Low 0.819837560
## 6517         High 0.659217226
## 6518         High 0.101621246
## 6519         High 0.063964825
## 6520         High 0.297839702
## 6521         High 0.679370564
## 6522          Low 0.547676922
## 6523         High 0.063964825
## 6524         High 0.317914524
## 6525         High 0.565523243
## 6526         High 0.407215799
## 6527          Low 1.114497929
## 6528          Low 1.360142814
## 6529         High 0.819837560
## 6530         High 0.114988832
## 6531         High 0.819837560
## 6532          Low 0.819837560
## 6533          Low 0.532061440
## 6534         High 0.402031608
## 6535          Low 0.030591891
## 6536         High 1.460174084
## 6537         High 0.822782195
## 6538         High 0.436139076
## 6539          Low 0.344757459
## 6540         High 0.681525475
## 6541         High 1.211497892
## 6542         High 1.517420550
## 6543          Low 0.703699924
## 6544         High 0.086776370
## 6545         High 0.324606222
## 6546          Low 0.190785711
## 6547         High 0.121749933
## 6548          Low 0.681525475
## 6549         High 0.123902694
## 6550          Low 0.757373864
## 6551          Low 0.101621246
## 6552          Low 0.332413254
## 6553         High 0.692755535
## 6554         High 1.656547074
## 6555         High 0.307877059
## 6556         High 0.681525475
## 6557          Low 0.322451558
## 6558          Low 0.523214244
## 6559         High 0.515071921
## 6560          Low 0.436139076
## 6561         High 0.407139888
## 6562          Low 0.137275863
## 6563         High 0.603522767
## 6564          Low 0.547721538
## 6565          Low 0.748347949
## 6566          Low 0.592292826
## 6567          Low 0.101621246
## 6568          Low 0.547676922
## 6569         High 0.532061440
## 6570          Low 0.300146122
## 6571          Low 1.504791812
## 6572          Low 0.213086196
## 6573         High 0.032862744
## 6574          Low 0.433984270
## 6575          Low 0.064231518
## 6576          Low 0.233233927
## 6577         High 0.523214244
## 6578          Low 0.255537126
## 6579         High 0.233916320
## 6580          Low 0.530665040
## 6581         High 0.101621246
## 6582          Low 0.590137939
## 6583         High 0.146192553
## 6584          Low 0.168487485
## 6585         High 0.436139076
## 6586          Low 0.436139076
## 6587         High 0.101621246
## 6588          Low 0.344757459
## 6589          Low 0.681525475
## 6590          Low 0.101621246
## 6591          Low 0.567829952
## 6592          Low 0.213086196
## 6593         High 0.679370564
## 6594          Low 0.745327324
## 6595         High 0.385279215
## 6596          Low 0.770758920
## 6597         High 0.458446363
## 6598          Low 0.279995814
## 6599         High 0.576753137
## 6600          Low 0.317914524
## 6601         High 0.407139888
## 6602          Low 0.324606222
## 6603         High 0.101621246
## 6604         High 0.121749933
## 6605          Low 0.679370564
## 6606          Low 0.726142117
## 6607         High 0.659217226
## 6608          Low 0.011517406
## 6609         High 0.770758920
## 6610          Low 0.476292309
## 6611          Low 0.257691601
## 6612          Low 0.007860543
## 6613         High 0.057122956
## 6614          Low 0.547676922
## 6615         High 0.659217226
## 6616         High 0.659217226
## 6617         High 0.681525475
## 6618          Low 0.659217226
## 6619         High 0.233233927
## 6620          Low 0.456291539
## 6621         High 0.251905029
## 6622          Low 0.520129169
## 6623         High 0.823259753
## 6624          Low 0.344757459
## 6625         High 1.013998335
## 6626         High 0.772989764
## 6627          Low 0.114988832
## 6628          Low 0.422754792
## 6629         High 0.757373864
## 6630          Low 0.772989764
## 6631          Low 0.123902694
## 6632          Low 1.360142814
## 6633         High 1.508269110
## 6634         High 0.681525475
## 6635         High 0.032862744
## 6636          Low 0.567829952
## 6637         High 1.181313826
## 6638          Low 0.213086196
## 6639         High 0.206395857
## 6640          Low 0.101621246
## 6641         High 0.233233927
## 6642          Low 0.790912444
## 6643          Low 0.324606222
## 6644          Low 0.255537126
## 6645         High 0.436139076
## 6646          Low 0.532061440
## 6647         High 0.332413254
## 6648          Low 0.692755535
## 6649         High 0.636909030
## 6650          Low 0.324606222
## 6651         High 1.128119569
## 6652         High 1.406140943
## 6653         High 0.030591891
## 6654         High 0.532061440
## 6655         High 0.503061397
## 6656          Low 0.534368135
## 6657         High 0.772989764
## 6658         High 0.091109090
## 6659          Low 0.641370665
## 6660          Low 0.050541909
## 6661         High 0.407139888
## 6662          Low 0.257343730
## 6663          Low 1.193315948
## 6664         High 0.257343730
## 6665          Low 1.193315948
## 6666          Low 0.213086196
## 6667          Low 0.320145085
## 6668          Low 0.679370564
## 6669         High 0.213086196
## 6670          Low 0.681525475
## 6671          Low 0.592292826
## 6672          Low 0.806452462
## 6673         High 0.246615720
## 6674          Low 0.659217226
## 6675         High 0.057122956
## 6676          Low 0.369218475
## 6677         High 0.255537126
## 6678          Low 0.567829952
## 6679          Low 1.181313826
## 6680         High 0.246539821
## 6681          Low 0.681525475
## 6682         High 0.681525475
## 6683         High 1.114497929
## 6684         High 1.483547426
## 6685          Low 0.770758920
## 6686         High 0.121381643
## 6687          Low 0.885159871
## 6688         High 0.634195960
## 6689          Low 0.024042324
## 6690          Low 0.179712145
## 6691         High 0.772989764
## 6692          Low 0.659217226
## 6693          Low 0.057122956
## 6694          Low 1.296084540
## 6695          Low 0.324606222
## 6696          Low 0.245536173
## 6697         High 0.436139076
## 6698          Low 0.307877059
## 6699         High 0.233233927
## 6700         High 0.657062320
## 6701         High 0.567829952
## 6702          Low 1.181313826
## 6703         High 0.569984832
## 6704          Low 0.547676922
## 6705         High 0.770758920
## 6706         High 0.213086196
## 6707         High 0.007860543
## 6708          Low 0.681525475
## 6709          Low 0.032862744
## 6710          Low 0.726142117
## 6711         High 0.857837975
## 6712          Low 0.659217226
## 6713          Low 0.567829952
## 6714          Low 1.013998335
## 6715          Low 4.237471403
## 6716         High 0.759604706
## 6717         High 0.503061397
## 6718          Low 0.534368135
## 6719          Low 0.324606222
## 6720          Low 0.469600068
## 6721          Low 0.612446000
## 6722         High 0.018734564
## 6723          Low 0.614600895
## 6724          Low 0.324606222
## 6725          Low 0.121749933
## 6726         High 0.790912444
## 6727          Low 1.460174084
## 6728          Low 0.185210910
## 6729          Low 0.525369106
## 6730          Low 0.328175144
## 6731          Low 0.770758920
## 6732          Low 0.101621246
## 6733          Low 0.547676922
## 6734         High 0.681525475
## 6735          Low 0.456291539
## 6736         High 0.740718478
## 6737          Low 0.547676922
## 6738          Low 0.547676922
## 6739          Low 0.007860543
## 6740          Low 1.842091903
## 6741          Low 0.500906547
## 6742         High 0.925499913
## 6743          Low 0.136161340
## 6744         High 0.837684373
## 6745          Low 0.621293329
## 6746         High 0.547676922
## 6747          Low 0.567829952
## 6748         High 0.673016684
## 6749         High 1.483547426
## 6750         High 1.483547426
## 6751          Low 0.819837560
## 6752          Low 0.034988380
## 6753          Low 0.257343730
## 6754         High 1.193315948
## 6755         High 0.503061397
## 6756         High 0.534368135
## 6757          Low 0.339796523
## 6758         High 0.737171444
## 6759         High 0.567829952
## 6760          Low 1.181313826
## 6761         High 0.681525475
## 6762          Low 0.032862744
## 6763          Low 1.769612522
## 6764          Low 0.024042324
## 6765         High 0.772989764
## 6766          Low 0.231596848
## 6767         High 0.436139076
## 6768          Low 1.237085787
## 6769         High 0.748450500
## 6770          Low 0.815375860
## 6771         High 0.880146538
## 6772          Low 1.192468214
## 6773         High 0.110532490
## 6774          Low 0.835529438
## 6775          Low 0.770758920
## 6776          Low 0.324606222
## 6777         High 0.772989764
## 6778         High 0.173392856
## 6779         High 0.576753137
## 6780         High 0.681525475
## 6781         High 0.569984832
## 6782          Low 0.011517406
## 6783         High 0.790912444
## 6784          Low 0.418369292
## 6785         High 0.213086196
## 6786         High 0.681525475
## 6787         High 0.645744345
## 6788         High 0.344757459
## 6789         High 0.759604706
## 6790         High 0.584485020
## 6791         High 0.006303726
## 6792         High 0.681525475
## 6793         High 0.467369324
## 6794          Low 0.315907023
## 6795         High 0.121749933
## 6796          Low 0.469600068
## 6797         High 0.612446000
## 6798         High 1.308809674
## 6799          Low 1.517420550
## 6800          Low 0.469600068
## 6801          Low 0.612446000
## 6802          Low 0.024042324
## 6803          Low 0.011517406
## 6804          Low 0.790912444
## 6805          Low 0.210931958
## 6806          Low 0.746295576
## 6807          Low 0.547676922
## 6808         High 0.101621246
## 6809         High 0.681525475
## 6810          Low 0.162534651
## 6811         High 1.262461304
## 6812         High 0.776336031
## 6813         High 0.567754037
## 6814         High 0.413831977
## 6815         High 0.547676922
## 6816         High 0.160795292
## 6817         High 0.681525475
## 6818         High 0.436139076
## 6819         High 0.011517406
## 6820         High 0.634195960
## 6821         High 1.310881577
## 6822         High 0.845887100
## 6823         High 0.961476823
## 6824         High 0.507018743
## 6825         High 1.656547074
## 6826          Low 0.547676922
## 6827         High 0.344757459
## 6828          Low 0.478598972
## 6829         High 0.681525475
## 6830          Low 0.032862744
## 6831         High 0.567829952
## 6832          Low 1.181313826
## 6833          Low 0.503061397
## 6834          Low 0.534368135
## 6835         High 0.011517406
## 6836         High 0.679370564
## 6837         High 0.233233927
## 6838         High 0.679370564
## 6839          Low 0.024042324
## 6840          Low 0.759604706
## 6841         High 0.344757459
## 6842         High 0.525369106
## 6843         High 0.815375860
## 6844         High 0.837684373
## 6845         High 0.525369106
## 6846         High 0.456291539
## 6847          Low 0.790912444
## 6848          Low 0.759604706
## 6849         High 0.412536345
## 6850          Low 0.745327324
## 6851          Low 0.385279215
## 6852          Low 0.121749933
## 6853         High 1.995587748
## 6854         High 1.750189602
## 6855          Low 0.746295576
## 6856          Low 0.659217226
## 6857          Low 0.101621246
## 6858          Low 0.088334830
## 6859         High 0.485291230
## 6860         High 0.026291667
## 6861         High 0.101621246
## 6862         High 0.790912444
## 6863          Low 0.173392856
## 6864          Low 0.625754955
## 6865          Low 0.636909030
## 6866          Low 0.748450500
## 6867          Low 0.286381280
## 6868          Low 0.871499272
## 6869         High 0.079355292
## 6870          Low 1.350640328
## 6871          Low 0.213086196
## 6872          Low 0.494138347
## 6873          Low 0.681525475
## 6874          Low 0.494138347
## 6875         High 0.761835548
## 6876          Low 0.440676432
## 6877         High 0.233233927
## 6878          Low 0.790912444
## 6879         High 0.467369324
## 6880          Low 0.411677190
## 6881          Low 0.723987197
## 6882          Low 1.906352026
## 6883          Low 0.251905029
## 6884          Low 1.237087722
## 6885         High 0.074193289
## 6886         High 0.121749933
## 6887         High 1.460174084
## 6888          Low 0.772989764
## 6889          Low 0.344757459
## 6890          Low 1.077187021
## 6891         High 0.344757459
## 6892          Low 0.478598972
## 6893         High 0.770758920
## 6894         High 0.547676922
## 6895          Low 0.819837560
## 6896          Low 0.320145085
## 6897          Low 0.576753137
## 6898          Low 0.532061440
## 6899          Low 0.819837560
## 6900          Low 0.547676922
## 6901         High 0.572215628
## 6902          Low 0.503061397
## 6903         High 0.534368135
## 6904         High 0.567829952
## 6905         High 1.181313826
## 6906          Low 0.746295576
## 6907         High 1.013998335
## 6908         High 0.770758920
## 6909         High 0.255537126
## 6910         High 0.525445020
## 6911         High 0.279995814
## 6912          Low 0.246615720
## 6913          Low 0.344757459
## 6914          Low 0.436139076
## 6915          Low 0.547721538
## 6916          Low 0.748347949
## 6917         High 0.567829952
## 6918          Low 1.013998335
## 6919         High 0.024042324
## 6920          Low 0.026291667
## 6921         High 0.452056786
## 6922          Low 1.013998335
## 6923          Low 0.532061440
## 6924         High 0.101621246
## 6925         High 0.257468563
## 6926          Low 0.502691158
## 6927          Low 0.346912162
## 6928         High 0.612446000
## 6929          Low 0.011517406
## 6930         High 0.077205786
## 6931          Low 0.681525475
## 6932          Low 1.906352026
## 6933          Low 0.233233927
## 6934         High 0.790912444
## 6935          Low 0.302300736
## 6936         High 0.567829952
## 6937          Low 0.790912444
## 6938         High 0.576753137
## 6939         High 0.871499272
## 6940         High 1.114497929
## 6941         High 0.681525475
## 6942         High 1.109479629
## 6943          Low 1.221469633
## 6944          Low 1.103233182
## 6945          Low 0.346912162
## 6946         High 0.026291667
## 6947         High 0.659217226
## 6948         High 0.213086196
## 6949          Low 0.902455122
## 6950         High 1.125541924
## 6951         High 0.576753137
## 6952         High 0.101621246
## 6953         High 0.679370564
## 6954         High 0.277841261
## 6955          Low 1.759913341
## 6956         High 0.819837560
## 6957          Low 0.467369324
## 6958         High 0.761835548
## 6959          Low 0.440676432
## 6960         High 0.121749933
## 6961         High 0.519792168
## 6962         High 0.582330134
## 6963          Low 0.871499272
## 6964          Low 0.992545860
## 6965          Low 0.532061440
## 6966          Low 0.636909030
## 6967          Low 0.436139076
## 6968          Low 0.576753137
## 6969          Low 0.596575970
## 6970          Low 0.826530113
## 6971         High 0.825102368
## 6972         High 0.418962592
## 6973         High 0.821318913
## 6974         High 0.819837560
## 6975         High 0.532061440
## 6976         High 0.121749933
## 6977         High 0.681525475
## 6978          Low 0.772989764
## 6979          Low 0.659217226
## 6980          Low 0.233233927
## 6981         High 0.770758920
## 6982          Low 0.155110040
## 6983         High 0.770758920
## 6984          Low 0.634195960
## 6985          Low 0.751795667
## 6986          Low 0.344757459
## 6987         High 0.332413254
## 6988          Low 0.692755535
## 6989         High 0.255537126
## 6990          Low 0.793067374
## 6991         High 0.681525475
## 6992          Low 0.329143284
## 6993         High 0.213086196
## 6994          Low 0.746295576
## 6995         High 0.114988832
## 6996          Low 0.992545860
## 6997          Low 0.992545860
## 6998         High 0.576753137
## 6999         High 0.793067374
## 7000         High 0.815375860
## 7001         High 0.011517406
## 7002         High 0.567829952
## 7003         High 1.013998335
## 7004          Low 0.228742132
## 7005          Low 0.592292826
## 7006         High 0.021878396
## 7007          Low 0.527675797
## 7008         High 0.641370665
## 7009          Low 0.050541909
## 7010          Low 0.101621246
## 7011          Low 0.266689091
## 7012          Low 0.224237076
## 7013          Low 0.770758920
## 7014          Low 0.121749933
## 7015          Low 0.317914524
## 7016          Low 1.237085787
## 7017          Low 1.460174084
## 7018         High 0.532061440
## 7019         High 0.324606222
## 7020         High 0.233233927
## 7021         High 0.412536345
## 7022         High 1.237087722
## 7023          Low 1.471057034
## 7024         High 0.121749933
## 7025          Low 0.456291539
## 7026          Low 0.902455122
## 7027          Low 0.324606222
## 7028          Low 0.576753137
## 7029          Low 0.188555773
## 7030         High 0.489752743
## 7031         High 1.181313826
## 7032         High 0.770758920
## 7033          Low 0.645908217
## 7034          Low 1.308809674
## 7035         High 1.517420550
## 7036          Low 0.819837560
## 7037          Low 0.532061440
## 7038          Low 0.681525475
## 7039          Low 0.032862744
## 7040         High 0.213086196
## 7041          Low 0.534368135
## 7042         High 0.121749933
## 7043          Low 0.790912444
## 7044         High 0.121749933
## 7045          Low 0.790912444
## 7046         High 0.681525475
## 7047         High 0.819837560
## 7048         High 0.786374835
## 7049          Low 0.092712379
## 7050         High 0.101621246
## 7051          Low 0.233233927
## 7052         High 0.436139076
## 7053         High 0.324606222
## 7054         High 0.456291539
## 7055          Low 0.567829952
## 7056         High 1.817116340
## 7057          Low 0.487446073
## 7058         High 0.681525475
## 7059          Low 0.742873401
## 7060         High 0.532061440
## 7061          Low 0.456291539
## 7062         High 0.592292826
## 7063          Low 0.757449780
## 7064         High 0.525369106
## 7065          Low 0.170717181
## 7066         High 0.681525475
## 7067          Low 0.456291539
## 7068         High 0.547676922
## 7069          Low 0.456291539
## 7070         High 0.213086196
## 7071          Low 0.391525097
## 7072         High 0.679370564
## 7073         High 0.902455122
## 7074          Low 0.329143284
## 7075          Low 0.532061440
## 7076         High 0.114988832
## 7077         High 0.567829952
## 7078          Low 0.790912444
## 7079          Low 0.692791160
## 7080         High 0.101808427
## 7081          Low 0.026291667
## 7082          Low 0.007914226
## 7083          Low 0.547676922
## 7084         High 0.324606222
## 7085         High 0.277841261
## 7086         High 0.279995814
## 7087         High 0.332413254
## 7088         High 0.692755535
## 7089         High 0.324606222
## 7090         High 0.611700842
## 7091          Low 0.436139076
## 7092         High 0.011517406
## 7093         High 0.344757459
## 7094         High 0.436139076
## 7095          Low 0.411735120
## 7096         High 0.681525475
## 7097          Low 0.503061397
## 7098          Low 0.615273994
## 7099          Low 0.915227563
## 7100          Low 0.520129169
## 7101         High 0.823430887
## 7102          Low 0.902455122
## 7103         High 1.237085787
## 7104          Low 0.436139076
## 7105         High 0.144039162
## 7106          Low 0.547676922
## 7107         High 0.121749933
## 7108         High 0.494138347
## 7109         High 0.011517406
## 7110         High 0.567829952
## 7111          Low 1.125541924
## 7112          Low 0.324606222
## 7113         High 0.344757459
## 7114         High 0.279995814
## 7115         High 1.310881577
## 7116         High 1.483547426
## 7117         High 0.772989764
## 7118         High 1.308809674
## 7119         High 1.517420550
## 7120         High 0.030591891
## 7121         High 0.770758920
## 7122         High 0.645908217
## 7123         High 0.168487485
## 7124         High 0.324606222
## 7125         High 0.011517406
## 7126         High 0.233233927
## 7127         High 0.659217226
## 7128         High 0.318056861
## 7129          Low 0.520129169
## 7130          Low 0.458446363
## 7131         High 0.425061413
## 7132          Low 0.681525475
## 7133          Low 0.032862744
## 7134         High 0.532061440
## 7135         High 0.547676922
## 7136         High 0.532061440
## 7137          Low 0.547676922
## 7138         High 0.235388300
## 7139          Low 0.547676922
## 7140          Low 0.046034621
## 7141          Low 0.253306760
## 7142         High 0.737372220
## 7143          Low 0.770758920
## 7144         High 0.046034621
## 7145          Low 0.532061440
## 7146         High 0.324606222
## 7147          Low 0.547676922
## 7148         High 0.046034621
## 7149         High 0.155110040
## 7150          Low 0.224237076
## 7151         High 0.101621246
## 7152         High 0.790912444
## 7153         High 0.326747574
## 7154          Low 0.532061440
## 7155         High 0.835007350
## 7156         High 0.121749933
## 7157         High 0.221114793
## 7158         High 0.525369106
## 7159         High 0.246093755
## 7160          Low 0.436139076
## 7161         High 0.255537126
## 7162          Low 0.475247850
## 7163         High 0.251905029
## 7164          Low 0.681525475
## 7165         High 0.213086196
## 7166          Low 0.011517406
## 7167          Low 0.007914226
## 7168          Low 0.254756497
## 7169          Low 1.060400430
## 7170          Low 0.681525475
## 7171          Low 0.181866103
## 7172          Low 1.013998335
## 7173         High 0.547676922
## 7174         High 0.235388300
## 7175         High 0.612446000
## 7176         High 0.233916320
## 7177         High 0.530665040
## 7178          Low 1.549409557
## 7179         High 0.828760965
## 7180          Low 0.346912162
## 7181         High 0.746295576
## 7182          Low 1.281703393
## 7183          Low 0.598985240
## 7184          Low 0.636909030
## 7185         High 0.436139076
## 7186          Low 0.273304467
## 7187          Low 1.571718437
## 7188          Low 0.346912162
## 7189         High 0.793067374
## 7190         High 0.300146122
## 7191         High 0.770758920
## 7192          Low 0.101621246
## 7193          Low 0.790912444
## 7194          Low 0.648063121
## 7195         High 0.496445021
## 7196          Low 0.819837560
## 7197         High 0.013443446
## 7198          Low 0.286381280
## 7199         High 0.168487485
## 7200         High 0.026291667
## 7201          Low 0.547676922
## 7202          Low 0.770758920
## 7203          Low 0.213086196
## 7204          Low 0.694910449
## 7205          Low 0.085587498
## 7206          Low 0.478598972
## 7207          Low 1.013998335
## 7208          Low 0.871499272
## 7209          Low 1.114497929
## 7210          Low 0.790912444
## 7211         High 1.013998335
## 7212          Low 0.255537126
## 7213          Low 0.802066682
## 7214          Low 1.317397499
## 7215          Low 0.213086196
## 7216          Low 0.681525475
## 7217         High 0.801508970
## 7218          Low 0.973842729
## 7219         High 1.460174084
## 7220          Low 0.436139076
## 7221         High 0.233233927
## 7222          Low 0.547676922
## 7223         High 0.101621246
## 7224         High 1.308809674
## 7225         High 1.517420550
## 7226         High 0.324606222
## 7227         High 0.770758920
## 7228          Low 0.011517406
## 7229         High 0.547699230
## 7230         High 0.748370258
## 7231         High 0.567829952
## 7232          Low 0.585265800
## 7233         High 0.819837560
## 7234          Low 0.547676922
## 7235          Low 0.324606222
## 7236          Low 0.324606222
## 7237         High 0.101621246
## 7238          Low 0.681525475
## 7239          Low 0.101621246
## 7240          Low 0.344757459
## 7241         High 1.013998335
## 7242         High 0.441767456
## 7243         High 1.236659702
## 7244         High 1.080924451
## 7245          Low 0.324606222
## 7246          Low 0.329143284
## 7247          Low 0.233233927
## 7248          Low 0.456291539
## 7249          Low 0.681525475
## 7250         High 0.681525475
## 7251          Low 0.324606222
## 7252          Low 0.101621246
## 7253          Low 0.681525475
## 7254         High 0.185210910
## 7255          Low 1.013998335
## 7256         High 0.121749933
## 7257         High 0.679370564
## 7258          Low 0.679370564
## 7259          Low 0.121749933
## 7260          Low 0.969380998
## 7261          Low 1.125541924
## 7262         High 0.770758920
## 7263          Low 1.549409557
## 7264         High 0.101621246
## 7265         High 0.790912444
## 7266         High 0.772989764
## 7267          Low 0.634754130
## 7268         High 0.400523731
## 7269         High 0.958226674
## 7270         High 0.659217226
## 7271          Low 0.251905029
## 7272          Low 1.237087722
## 7273          Low 0.688217960
## 7274         High 0.500906547
## 7275         High 0.746295576
## 7276         High 0.746295576
## 7277          Low 1.013998335
## 7278         High 0.547676922
## 7279          Low 0.681525475
## 7280         High 0.572215628
## 7281          Low 0.233233927
## 7282          Low 0.324606222
## 7283          Low 0.264382780
## 7284          Low 0.813220926
## 7285          Low 0.324606222
## 7286         High 0.121749933
## 7287         High 0.121749933
## 7288          Low 0.011517406
## 7289          Low 0.066085329
## 7290         High 0.246539821
## 7291          Low 0.567829952
## 7292          Low 1.013998335
## 7293          Low 0.726142117
## 7294          Low 0.458446363
## 7295         High 0.324606222
## 7296          Low 0.770758920
## 7297          Low 0.324606222
## 7298          Low 0.324606222
## 7299          Low 0.572215628
## 7300          Low 0.400447820
## 7301         High 0.518752696
## 7302          Low 1.360142814
## 7303         High 1.483547426
## 7304         High 1.237085787
## 7305         High 0.355834647
## 7306         High 0.436139076
## 7307         High 0.166333697
## 7308          Low 0.082363288
## 7309         High 0.251905029
## 7310          Low 0.634195960
## 7311          Low 0.532061440
## 7312         High 0.324606222
## 7313         High 0.324606222
## 7314         High 0.525369106
## 7315         High 0.815375860
## 7316         High 0.400523731
## 7317         High 0.681525475
## 7318         High 1.308809674
## 7319         High 1.517420550
## 7320         High 0.011517406
## 7321          Low 0.456291539
## 7322         High 0.520129169
## 7323         High 1.360142814
## 7324         High 0.547676922
## 7325         High 0.741984239
## 7326         High 0.961476823
## 7327          Low 0.476292309
## 7328         High 0.818162027
## 7329         High 1.030898555
## 7330         High 0.770758920
## 7331         High 0.742873401
## 7332         High 0.436139076
## 7333          Low 0.436139076
## 7334          Low 0.681525475
## 7335          Low 0.770758920
## 7336          Low 0.101621246
## 7337          Low 0.790912444
## 7338         High 0.453092598
## 7339         High 0.011517406
## 7340         High 1.114497929
## 7341          Low 0.500526699
## 7342          Low 1.683262890
## 7343          Low 1.783652968
## 7344         High 0.324606222
## 7345          Low 0.681525475
## 7346          Low 0.793067374
## 7347          Low 0.329143284
## 7348          Low 0.547676922
## 7349          Low 0.121749933
## 7350          Low 0.564630926
## 7351          Low 0.329143284
## 7352         High 0.101621246
## 7353          Low 0.547676922
## 7354          Low 0.344757459
## 7355          Low 0.746295576
## 7356         High 0.329143284
## 7357         High 0.547676922
## 7358         High 0.005801985
## 7359         High 0.913609423
## 7360         High 1.683262890
## 7361          Low 0.116771485
## 7362          Low 0.404909196
## 7363          Low 0.748450500
## 7364         High 0.112760607
## 7365         High 0.213086196
## 7366         High 0.534368135
## 7367          Low 0.748450500
## 7368          Low 0.845887100
## 7369         High 0.274458305
## 7370          Low 0.532061440
## 7371         High 0.770758920
## 7372          Low 1.308809674
## 7373         High 1.517420550
## 7374          Low 0.011517406
## 7375          Low 0.790912444
## 7376          Low 0.026291667
## 7377         High 0.902455122
## 7378         High 0.598985240
## 7379         High 0.248846057
## 7380          Low 0.245424657
## 7381         High 0.632447398
## 7382          Low 0.614600895
## 7383         High 1.119587112
## 7384         High 0.324606222
## 7385          Low 0.532061440
## 7386          Low 0.525369106
## 7387         High 0.770758920
## 7388         High 0.806452462
## 7389         High 0.121749933
## 7390         High 0.790912444
## 7391          Low 0.456291539
## 7392          Low 0.902455122
## 7393          Low 0.743631886
## 7394          Low 0.494883489
## 7395         High 0.679370564
## 7396         High 0.790912444
## 7397         High 0.746219660
## 7398          Low 0.233233927
## 7399         High 0.679370564
## 7400          Low 0.121749933
## 7401         High 0.790912444
## 7402          Low 0.011517406
## 7403         High 1.409469947
## 7404         High 1.483547426
## 7405         High 0.213086196
## 7406         High 0.007914226
## 7407          Low 0.547676922
## 7408          Low 0.324606222
## 7409          Low 0.324606222
## 7410          Low 0.681525475
## 7411         High 1.237087722
## 7412          Low 1.483547426
## 7413          Low 0.992545860
## 7414          Low 1.237087722
## 7415          Low 2.017896684
## 7416          Low 0.634195960
## 7417          Low 1.175725554
## 7418          Low 0.456291539
## 7419         High 0.679370564
## 7420          Low 0.770758920
## 7421         High 0.213086196
## 7422         High 0.213086196
## 7423         High 1.192964318
## 7424          Low 0.547676922
## 7425          Low 0.324606222
## 7426         High 0.679370564
## 7427         High 0.608030703
## 7428         High 0.494588320
## 7429          Low 0.770758920
## 7430         High 0.324606222
## 7431         High 0.503061397
## 7432         High 0.534368135
## 7433          Low 0.213086196
## 7434         High 0.770758920
## 7435          Low 0.121749933
## 7436          Low 0.567829952
## 7437         High 0.121749933
## 7438         High 0.213086196
## 7439         High 0.389294422
## 7440          Low 0.642173759
## 7441         High 0.146192553
## 7442         High 0.432802282
## 7443         High 0.456291539
## 7444          Low 0.902455122
## 7445          Low 0.659217226
## 7446          Low 0.005680258
## 7447         High 0.567829952
## 7448         High 0.790912444
## 7449         High 1.308809674
## 7450          Low 1.517420550
## 7451         High 0.407139888
## 7452          Low 0.259921985
## 7453         High 0.168487485
## 7454         High 0.681525475
## 7455         High 0.101621246
## 7456          Low 0.681525475
## 7457         High 0.547676922
## 7458          Low 0.101621246
## 7459         High 0.482426875
## 7460          Low 0.659217226
## 7461          Low 0.681525475
## 7462          Low 0.503061397
## 7463         High 0.681525475
## 7464          Low 0.121749933
## 7465         High 0.079355292
## 7466          Low 0.815375860
## 7467          Low 0.679370564
## 7468          Low 0.007914226
## 7469         High 0.436139076
## 7470         High 0.146192553
## 7471          Low 0.213086196
## 7472          Low 0.433984270
## 7473         High 0.770758920
## 7474         High 0.748450500
## 7475          Low 0.013443446
## 7476          Low 1.296084540
## 7477         High 1.237085787
## 7478          Low 1.016098588
## 7479          Low 0.213086196
## 7480          Low 0.770758920
## 7481         High 0.324606222
## 7482          Low 0.547699230
## 7483         High 0.748370258
## 7484          Low 0.257366033
## 7485         High 1.193315948
## 7486          Low 0.659217226
## 7487         High 0.456291539
## 7488         High 0.902455122
## 7489          Low 0.619062517
## 7490         High 0.564630926
## 7491          Low 0.121749933
## 7492         High 0.567829952
## 7493          Low 0.532061440
## 7494          Low 1.308809674
## 7495          Low 0.547676922
## 7496         High 0.770758920
## 7497          Low 0.101621246
## 7498          Low 0.344757459
## 7499         High 0.679370564
## 7500         High 0.325369529
## 7501         High 0.547676922
## 7502          Low 0.567829952
## 7503         High 0.324606222
## 7504          Low 0.324606222
## 7505          Low 0.013443446
## 7506          Low 0.018734564
## 7507         High 0.770758920
## 7508          Low 0.835529438
## 7509         High 1.013998335
## 7510          Low 1.308809674
## 7511         High 1.517420550
## 7512          Low 0.456291539
## 7513         High 0.902455122
## 7514          Low 0.436139076
## 7515         High 0.344757459
## 7516          Low 0.011517406
## 7517         High 0.344757459
## 7518         High 0.659217226
## 7519          Low 0.005680258
## 7520         High 0.436139076
## 7521          Low 0.642173759
## 7522          Low 0.436139076
## 7523          Low 0.567829952
## 7524         High 0.790912444
## 7525         High 0.679370564
## 7526          Low 0.920302006
## 7527          Low 1.101002308
## 7528         High 0.547676922
## 7529          Low 0.436139076
## 7530         High 0.121749933
## 7531         High 0.659217226
## 7532         High 0.324606222
## 7533         High 0.185210910
## 7534          Low 0.681525475
## 7535          Low 0.681525475
## 7536         High 0.110608312
## 7537         High 0.213086196
## 7538         High 0.233233927
## 7539          Low 0.358065276
## 7540         High 0.201935718
## 7541         High 0.871499272
## 7542         High 1.237087722
## 7543         High 0.525369106
## 7544          Low 0.284532650
## 7545          Low 0.973842729
## 7546          Low 0.547676922
## 7547         High 0.659217226
## 7548          Low 0.024042324
## 7549          Low 0.679370564
## 7550         High 1.048814874
## 7551         High 0.121749933
## 7552          Low 0.567829952
## 7553          Low 0.503061397
## 7554         High 0.534368135
## 7555          Low 1.888493147
## 7556          Low 0.057122956
## 7557          Low 1.013998335
## 7558         High 0.636909030
## 7559          Low 0.413831977
## 7560         High 0.185210910
## 7561         High 0.598985240
## 7562         High 0.424985501
## 7563         High 0.449523427
## 7564         High 0.213086196
## 7565         High 0.324606222
## 7566         High 0.330182668
## 7567         High 0.436139076
## 7568          Low 0.024042324
## 7569          Low 0.659217226
## 7570          Low 0.532061440
## 7571          Low 0.324606222
## 7572          Low 0.215137930
## 7573          Low 0.547676922
## 7574          Low 0.344757459
## 7575         High 0.592292826
## 7576          Low 0.514215238
## 7577         High 0.024042324
## 7578         High 0.077205786
## 7579         High 0.121749933
## 7580          Low 0.233233927
## 7581          Low 0.030591891
## 7582          Low 0.274458305
## 7583         High 0.615273994
## 7584          Low 0.503061397
## 7585         High 0.456291539
## 7586          Low 0.770758920
## 7587          Low 0.659217226
## 7588          Low 0.005680258
## 7589         High 0.121749933
## 7590          Low 0.567829952
## 7591         High 1.424687348
## 7592          Low 0.837684373
## 7593          Low 0.751795667
## 7594         High 1.310881577
## 7595          Low 0.324606222
## 7596         High 0.634195960
## 7597          Low 1.310881577
## 7598         High 0.251905029
## 7599         High 0.871499272
## 7600          Low 0.123902694
## 7601          Low 0.288629846
## 7602         High 0.751837762
## 7603          Low 0.547676922
## 7604         High 0.679370564
## 7605         High 1.005074863
## 7606         High 0.456291539
## 7607         High 0.679370564
## 7608          Low 0.525369106
## 7609          Low 0.284532650
## 7610         High 0.973842729
## 7611          Low 1.054035772
## 7612          Low 0.489752743
## 7613          Low 1.181313826
## 7614          Low 0.637444426
## 7615          Low 0.770758920
## 7616         High 0.969380998
## 7617          Low 1.058615733
## 7618         High 0.213086196
## 7619         High 0.436139076
## 7620          Low 0.344757459
## 7621          Low 0.458446363
## 7622          Low 0.344757459
## 7623         High 0.344757459
## 7624          Low 0.759604706
## 7625          Low 0.088259063
## 7626          Low 0.324606222
## 7627          Low 0.007860543
## 7628          Low 0.525369106
## 7629         High 0.066085329
## 7630          Low 0.598985240
## 7631          Low 0.458446363
## 7632          Low 0.188555773
## 7633         High 0.030591891
## 7634         High 0.054903144
## 7635          Low 0.013850656
## 7636          Low 0.110608312
## 7637         High 0.360295910
## 7638         High 0.224237076
## 7639          Low 0.344757459
## 7640          Low 0.233233927
## 7641         High 0.790912444
## 7642         High 0.233916320
## 7643          Low 0.530665040
## 7644         High 0.324606222
## 7645          Low 0.324606222
## 7646          Low 0.547676922
## 7647          Low 0.726142117
## 7648         High 0.300146122
## 7649         High 0.902455122
## 7650         High 1.281703393
## 7651         High 0.101621246
## 7652         High 0.679370564
## 7653          Low 0.547676922
## 7654         High 0.411677190
## 7655         High 0.146192553
## 7656          Low 0.547676922
## 7657          Low 0.121749933
## 7658         High 0.329143284
## 7659         High 0.215316342
## 7660         High 0.703909690
## 7661          Low 0.007914226
## 7662          Low 0.121749933
## 7663          Low 0.681525475
## 7664          Low 0.121749933
## 7665          Low 0.456291539
## 7666         High 0.634195960
## 7667          Low 1.175725554
## 7668         High 0.770758920
## 7669          Low 0.233233927
## 7670         High 0.330182668
## 7671         High 0.547676922
## 7672         High 0.770758920
## 7673          Low 0.799492215
## 7674          Low 0.251254832
## 7675          Low 0.837684373
## 7676         High 0.790912444
## 7677         High 1.125541924
## 7678         High 0.679370564
## 7679         High 0.902455122
## 7680         High 0.188555773
## 7681         High 0.494588320
## 7682         High 0.013850656
## 7683         High 0.790912444
## 7684         High 0.567829952
## 7685          Low 0.759604706
## 7686          Low 0.088259063
## 7687          Low 0.011517406
## 7688         High 0.790912444
## 7689          Low 0.251089718
## 7690          Low 0.121749933
## 7691          Low 0.679370564
## 7692          Low 0.679370564
## 7693          Low 1.013998335
## 7694          Low 0.547676922
## 7695          Low 0.114988832
## 7696          Low 0.700487526
## 7697          Low 0.759604706
## 7698         High 0.088259063
## 7699          Low 1.077187021
## 7700          Low 1.308809674
## 7701          Low 0.730459160
## 7702          Low 1.308809674
## 7703          Low 0.348016107
## 7704         High 0.534956402
## 7705         High 0.348016107
## 7706         High 0.525369106
## 7707          Low 0.547676922
## 7708          Low 0.458446363
## 7709          Low 0.101621246
## 7710          Low 0.547676922
## 7711          Low 0.458446363
## 7712          Low 0.519792168
## 7713          Low 0.018662101
## 7714         High 0.525369106
## 7715          Low 0.770758920
## 7716          Low 0.024042324
## 7717          Low 0.257691601
## 7718         High 0.726142117
## 7719          Low 0.547676922
## 7720          Low 0.121749933
## 7721          Low 0.330365198
## 7722         High 0.770758920
## 7723          Low 0.324606222
## 7724         High 0.659217226
## 7725          Low 0.021951815
## 7726          Low 0.790912444
## 7727          Low 0.344757459
## 7728          Low 0.790912444
## 7729          Low 0.030591891
## 7730         High 0.436139076
## 7731         High 0.344757459
## 7732          Low 0.436139076
## 7733         High 0.480753810
## 7734          Low 0.255537126
## 7735         High 0.313453416
## 7736          Low 0.011517406
## 7737         High 0.456291539
## 7738         High 0.746295576
## 7739          Low 1.013998335
## 7740          Low 0.384833081
## 7741         High 0.411601278
## 7742          Low 0.384833081
## 7743         High 0.961476823
## 7744         High 0.362526546
## 7745         High 0.030591891
## 7746          Low 1.237085787
## 7747          Low 0.121749933
## 7748          Low 0.436139076
## 7749         High 0.101621246
## 7750         High 0.121749933
## 7751         High 0.515071921
## 7752          Low 0.679370564
## 7753         High 0.759604706
## 7754          Low 0.088259063
## 7755         High 0.759604706
## 7756          Low 0.088259063
## 7757         High 0.077205786
## 7758          Low 0.412536345
## 7759          Low 1.360142814
## 7760          Low 0.525369106
## 7761         High 0.233233927
## 7762         High 0.445137882
## 7763          Low 0.362526546
## 7764          Low 0.121749933
## 7765         High 0.436139076
## 7766          Low 0.171907919
## 7767         High 0.369218475
## 7768          Low 0.525369106
## 7769          Low 0.324606222
## 7770          Low 0.679370564
## 7771          Low 0.257468563
## 7772          Low 0.502691158
## 7773         High 0.532061440
## 7774         High 0.436139076
## 7775         High 0.369218475
## 7776          Low 0.819837560
## 7777          Low 0.770758920
## 7778         High 0.358065276
## 7779          Low 0.612446000
## 7780         High 0.235388300
## 7781         High 0.681525475
## 7782          Low 0.751795667
## 7783          Low 1.457607011
## 7784          Low 0.101621246
## 7785          Low 0.770758920
## 7786         High 0.235388300
## 7787          Low 0.547676922
## 7788          Low 0.324606222
## 7789          Low 0.371855287
## 7790         High 0.318056861
## 7791          Low 0.030591891
## 7792          Low 0.456291539
## 7793          Low 0.679370564
## 7794          Low 0.324606222
## 7795          Low 0.458446363
## 7796          Low 0.344757459
## 7797          Low 0.819837560
## 7798         High 0.233233927
## 7799          Low 0.445137882
## 7800         High 0.024042324
## 7801          Low 0.458446363
## 7802         High 0.770758920
## 7803         High 0.547676922
## 7804         High 1.308809674
## 7805          Low 1.517420550
## 7806         High 0.324606222
## 7807          Low 1.683262890
## 7808          Low 0.436139076
## 7809          Low 1.586888477
## 7810         High 0.730459160
## 7811         High 0.013443446
## 7812          Low 0.547676922
## 7813          Low 0.369218475
## 7814          Low 0.259997886
## 7815          Low 0.344757459
## 7816         High 0.146192553
## 7817         High 0.799694676
## 7818          Low 0.961476823
## 7819          Low 0.819837560
## 7820         High 0.532061440
## 7821         High 0.362526546
## 7822         High 0.819837560
## 7823         High 1.460174084
## 7824          Low 0.013850656
## 7825          Low 0.681525475
## 7826         High 0.032862744
## 7827          Low 0.436139076
## 7828         High 0.101621246
## 7829          Low 0.384833081
## 7830         High 0.367077055
## 7831          Low 0.532061440
## 7832         High 0.007914226
## 7833          Low 0.509307544
## 7834          Low 0.032787930
## 7835          Low 0.770758920
## 7836          Low 0.121749933
## 7837          Low 0.089284592
## 7838          Low 0.500526699
## 7839          Low 0.759604706
## 7840          Low 0.088259063
## 7841         High 0.759604706
## 7842          Low 0.088259063
## 7843         High 0.456291539
## 7844          Low 0.870850788
## 7845          Low 1.243554163
## 7846          Low 0.369752894
## 7847         High 0.567829952
## 7848          Low 0.902455122
## 7849          Low 0.430339211
## 7850          Low 0.891568530
## 7851         High 0.741833897
## 7852          Low 0.902901294
## 7853         High 0.030591891
## 7854         High 0.423589145
## 7855         High 0.324606222
## 7856         High 0.344757459
## 7857          Low 1.310881577
## 7858          Low 1.483547426
## 7859          Low 0.515071921
## 7860          Low 0.114988832
## 7861         High 0.324606222
## 7862          Low 0.030591891
## 7863         High 0.770758920
## 7864          Low 0.324606222
## 7865          Low 0.436139076
## 7866          Low 0.547676922
## 7867          Low 1.517420550
## 7868          Low 0.233233927
## 7869         High 0.445137882
## 7870          Low 0.329143284
## 7871         High 0.389816467
## 7872          Low 0.659217226
## 7873          Low 0.458446363
## 7874         High 0.458446363
## 7875         High 0.032862744
## 7876          Low 0.902455122
## 7877          Low 0.013443446
## 7878          Low 0.121749933
## 7879          Low 0.770758920
## 7880         High 0.121749933
## 7881          Low 0.238902004
## 7882          Low 0.101621246
## 7883         High 0.567829952
## 7884          Low 1.125541924
## 7885          Low 1.281703393
## 7886          Low 0.233233927
## 7887         High 0.456291539
## 7888          Low 0.714987940
## 7889         High 0.534368135
## 7890         High 1.683262890
## 7891         High 0.880146538
## 7892          Low 0.464625510
## 7893         High 0.324606222
## 7894          Low 0.344757459
## 7895         High 0.469600068
## 7896          Low 0.612446000
## 7897         High 0.567829952
## 7898         High 1.013998335
## 7899         High 0.815375860
## 7900         High 0.233233927
## 7901          Low 0.759604706
## 7902         High 0.770758920
## 7903          Low 0.324606222
## 7904          Low 0.251905029
## 7905          Low 0.871499272
## 7906         High 1.450104679
## 7907          Low 1.359236357
## 7908         High 0.759604706
## 7909          Low 0.088259063
## 7910         High 0.436139076
## 7911          Low 0.344757459
## 7912          Low 0.089284592
## 7913          Low 0.730459160
## 7914         High 0.532061440
## 7915         High 0.759604706
## 7916          Low 0.088259063
## 7917          Low 0.324606222
## 7918         High 0.679370564
## 7919          Low 0.114988832
## 7920          Low 0.770758920
## 7921          Low 0.770758920
## 7922          Low 0.324606222
## 7923          Low 0.344757459
## 7924          Low 0.871499272
## 7925          Low 1.114497929
## 7926          Low 0.190785711
## 7927          Low 0.679370564
## 7928         High 1.013998335
## 7929          Low 0.819837560
## 7930         High 0.770758920
## 7931          Low 0.324606222
## 7932         High 0.456291539
## 7933          Low 1.360142814
## 7934         High 0.324606222
## 7935          Low 1.013998335
## 7936          Low 0.329143284
## 7937          Low 0.057122956
## 7938         High 0.547676922
## 7939          Low 1.146647741
## 7940          Low 1.239300842
## 7941          Low 1.013998335
## 7942          Low 1.237085787
## 7943          Low 0.621293329
## 7944          Low 0.525369106
## 7945          Low 0.567829952
## 7946         High 1.181313826
## 7947         High 0.456291539
## 7948         High 0.679370564
## 7949         High 0.030591891
## 7950         High 0.413831977
## 7951          Low 0.233916320
## 7952          Low 0.530665040
## 7953          Low 0.389816467
## 7954         High 0.947072354
## 7955          Low 0.324606222
## 7956         High 0.430339211
## 7957         High 0.891568530
## 7958         High 0.167838718
## 7959          Low 0.213086196
## 7960         High 0.213086196
## 7961         High 0.742873401
## 7962          Low 0.679370564
## 7963         High 0.436139076
## 7964          Low 0.011517406
## 7965         High 0.251905029
## 7966         High 0.634195960
## 7967         High 1.125541924
## 7968          Low 1.281703393
## 7969         High 0.121749933
## 7970          Low 1.013998335
## 7971         High 0.101621246
## 7972         High 0.233233927
## 7973          Low 0.659217226
## 7974          Low 0.013850656
## 7975          Low 0.257343730
## 7976          Low 1.193315948
## 7977          Low 0.633161259
## 7978          Low 0.344757459
## 7979          Low 0.251089718
## 7980          Low 0.770758920
## 7981         High 0.515071921
## 7982          Low 1.549409557
## 7983          Low 0.286381280
## 7984         High 0.412536345
## 7985          Low 0.788605681
## 7986         High 0.286381280
## 7987          Low 1.192964318
## 7988         High 0.101621246
## 7989          Low 0.503061397
## 7990         High 0.534368135
## 7991          Low 0.992545860
## 7992         High 1.065636135
## 7993          Low 1.114497929
## 7994         High 1.237087722
## 7995          Low 0.065107286
## 7996         High 0.221114793
## 7997          Low 0.915227563
## 7998         High 1.077187021
## 7999         High 1.067951405
## 8000         High 0.121749933
## 8001          Low 0.330182668
## 8002          Low 1.772505873
## 8003         High 0.456291539
## 8004          Low 0.790912444
## 8005          Low 0.659217226
## 8006          Low 0.121749933
## 8007         High 0.770758920
## 8008          Low 0.819837560
## 8009         High 0.621293329
## 8010         High 0.458446363
## 8011         High 0.458446363
## 8012          Low 0.213086196
## 8013         High 0.746219660
## 8014         High 0.547676922
## 8015         High 0.034988380
## 8016          Low 0.101621246
## 8017         High 0.621293329
## 8018          Low 0.525369106
## 8019          Low 0.436139076
## 8020          Low 0.525369106
## 8021         High 1.839425258
## 8022          Low 0.101621246
## 8023         High 0.547676922
## 8024         High 0.121749933
## 8025         High 0.030591891
## 8026         High 0.714987940
## 8027          Low 0.534368135
## 8028         High 0.121749933
## 8029         High 0.121749933
## 8030         High 0.146192553
## 8031          Low 0.011517406
## 8032         High 0.790912444
## 8033          Low 0.547676922
## 8034          Low 0.013850656
## 8035          Low 0.659217226
## 8036         High 0.636909030
## 8037          Low 0.369218475
## 8038          Low 0.255537126
## 8039          Low 0.050541909
## 8040         High 0.987227925
## 8041          Low 0.657962915
## 8042          Low 0.984613444
## 8043          Low 0.748450500
## 8044          Low 0.168487485
## 8045          Low 0.547676922
## 8046          Low 0.411677190
## 8047         High 0.057122956
## 8048          Low 0.040504083
## 8049         High 0.302300736
## 8050         High 1.683262890
## 8051         High 0.007914226
## 8052          Low 0.742873401
## 8053          Low 0.255537126
## 8054          Low 0.407139888
## 8055         High 0.344757459
## 8056         High 0.419051820
## 8057          Low 0.689632373
## 8058          Low 0.079355292
## 8059         High 0.590137939
## 8060         High 0.523787078
## 8061         High 1.237085787
## 8062          Low 0.449523427
## 8063         High 0.324606222
## 8064          Low 0.770758920
## 8065         High 0.799536832
## 8066         High 0.697707978
## 8067          Low 0.324606222
## 8068          Low 0.456291539
## 8069         High 0.679370564
## 8070          Low 0.046034621
## 8071         High 0.324606222
## 8072         High 0.233233927
## 8073         High 0.532061440
## 8074         High 0.547676922
## 8075         High 0.681525475
## 8076         High 0.032862744
## 8077          Low 0.567829952
## 8078          Low 1.181313826
## 8079         High 0.101621246
## 8080          Low 0.478598972
## 8081          Low 0.436139076
## 8082         High 0.101621246
## 8083          Low 0.344757459
## 8084         High 0.567829952
## 8085          Low 0.659217226
## 8086          Low 1.281703393
## 8087          Low 0.324606222
## 8088          Low 0.547676922
## 8089          Low 0.679370564
## 8090         High 0.525369106
## 8091          Low 0.121749933
## 8092         High 0.621293329
## 8093          Low 0.547676922
## 8094         High 0.567829952
## 8095         High 0.636909030
## 8096         High 0.684343435
## 8097         High 1.517420550
## 8098          Low 0.007860543
## 8099          Low 0.770758920
## 8100          Low 0.101621246
## 8101          Low 1.192964318
## 8102          Low 1.239300842
## 8103          Low 1.471057034
## 8104         High 1.239300842
## 8105          Low 1.471057034
## 8106          Low 0.659217226
## 8107          Low 0.324606222
## 8108          Low 0.233233927
## 8109          Low 0.947072354
## 8110         High 0.547676922
## 8111         High 0.344757459
## 8112         High 0.324606222
## 8113          Low 0.121749933
## 8114          Low 0.168487485
## 8115          Low 0.066085329
## 8116         High 0.168487485
## 8117          Low 0.369218475
## 8118         High 0.255537126
## 8119         High 0.547676922
## 8120          Low 0.503061397
## 8121          Low 0.770758920
## 8122         High 0.369218475
## 8123         High 0.255537126
## 8124         High 0.684343435
## 8125         High 1.517420550
## 8126         High 0.659217226
## 8127         High 0.005680258
## 8128         High 0.525369106
## 8129         High 0.101621246
## 8130         High 0.681525475
## 8131          Low 0.032862744
## 8132          Low 0.547676922
## 8133          Low 0.751795667
## 8134          Low 1.457607011
## 8135          Low 0.324606222
## 8136          Low 0.233233927
## 8137         High 0.384833081
## 8138          Low 0.819837560
## 8139         High 0.411677190
## 8140          Low 1.237085787
## 8141         High 0.013443446
## 8142         High 0.190785711
## 8143         High 0.007914226
## 8144          Low 0.233233927
## 8145          Low 0.567829952
## 8146         High 0.235388300
## 8147          Low 0.746295576
## 8148          Low 0.659217226
## 8149          Low 0.011517406
## 8150          Low 0.790912444
## 8151          Low 0.213086196
## 8152          Low 0.632447398
## 8153          Low 0.208701845
## 8154         High 0.324606222
## 8155         High 0.567829952
## 8156         High 0.770758920
## 8157          Low 0.121749933
## 8158         High 0.324606222
## 8159         High 0.770758920
## 8160          Low 0.213086196
## 8161          Low 0.659217226
## 8162         High 0.101621246
## 8163          Low 0.478598972
## 8164         High 0.770758920
## 8165          Low 0.101621246
## 8166         High 0.121749933
## 8167          Low 0.101621246
## 8168         High 0.532061440
## 8169         High 0.460677101
## 8170         High 0.746295576
## 8171          Low 0.770758920
## 8172          Low 0.714987940
## 8173          Low 0.871499272
## 8174         High 1.803469262
## 8175         High 0.254627932
## 8176         High 0.986474993
## 8177          Low 0.659217226
## 8178          Low 0.213086196
## 8179          Low 0.770758920
## 8180         High 0.106018753
## 8181         High 0.659217226
## 8182         High 0.845887100
## 8183         High 1.540609502
## 8184         High 0.324606222
## 8185         High 0.121749933
## 8186         High 0.621293329
## 8187         High 0.436139076
## 8188         High 0.456291539
## 8189          Low 0.547676922
## 8190          Low 0.567829952
## 8191          Low 0.324606222
## 8192          Low 0.121749933
## 8193          Low 0.742873401
## 8194          Low 0.659217226
## 8195          Low 0.121749933
## 8196         High 0.324606222
## 8197          Low 0.324606222
## 8198         High 0.121749933
## 8199          Low 0.614600895
## 8200         High 0.770758920
## 8201          Low 0.819837560
## 8202          Low 0.324606222
## 8203          Low 0.011517406
## 8204         High 0.819837560
## 8205          Low 0.924763728
## 8206         High 0.168487485
## 8207          Low 0.168487485
## 8208         High 0.815375860
## 8209          Low 0.770758920
## 8210          Low 0.324606222
## 8211          Low 0.168487485
## 8212          Low 0.222898951
## 8213         High 0.770758920
## 8214          Low 0.324606222
## 8215         High 0.324606222
## 8216          Low 0.101621246
## 8217          Low 0.823430887
## 8218          Low 1.065636135
## 8219         High 0.806452462
## 8220         High 1.163470594
## 8221         High 1.409469947
## 8222          Low 0.503061397
## 8223          Low 0.101621246
## 8224          Low 0.679370564
## 8225         High 0.547676922
## 8226          Low 0.121749933
## 8227         High 0.648063121
## 8228          Low 0.547676922
## 8229         High 0.344757459
## 8230          Low 0.659217226
## 8231          Low 0.436139076
## 8232          Low 0.030591891
## 8233          Low 0.770758920
## 8234         High 0.369218475
## 8235          Low 0.244385394
## 8236         High 0.547676922
## 8237          Low 0.503061397
## 8238         High 0.121749933
## 8239          Low 0.324606222
## 8240         High 0.213086196
## 8241          Low 0.121749933
## 8242          Low 0.491907587
## 8243         High 0.469600068
## 8244         High 1.214776996
## 8245         High 1.460174084
## 8246          Low 1.460174084
## 8247         High 0.947072354
## 8248         High 0.296974793
## 8249         High 1.208839252
## 8250          Low 0.121749933
## 8251          Low 1.460174084
## 8252         High 0.324606222
## 8253          Low 0.233233927
## 8254          Low 0.659217226
## 8255          Low 1.826348416
## 8256         High 0.456291539
## 8257          Low 0.902455122
## 8258          Low 0.302300736
## 8259          Low 0.770758920
## 8260         High 0.324606222
## 8261          Low 0.101621246
## 8262         High 0.121749933
## 8263          Low 0.547676922
## 8264         High 0.213086196
## 8265          Low 0.519677656
## 8266         High 0.992056515
## 8267          Low 0.011517406
## 8268         High 0.790912444
## 8269          Low 0.819837560
## 8270          Low 0.532061440
## 8271          Low 0.547676922
## 8272          Low 0.679370564
## 8273          Low 0.324606222
## 8274         High 0.024042324
## 8275          Low 0.679370564
## 8276         High 1.013998335
## 8277          Low 0.815375860
## 8278         High 0.121749933
## 8279          Low 1.752416879
## 8280         High 0.324606222
## 8281          Low 0.324606222
## 8282          Low 0.519677656
## 8283          Low 0.870986402
## 8284         High 0.121749933
## 8285          Low 0.324606222
## 8286          Low 0.233233927
## 8287          Low 0.659217226
## 8288         High 0.121749933
## 8289          Low 0.612446000
## 8290         High 0.751837762
## 8291          Low 1.551861953
## 8292         High 0.324606222
## 8293         High 0.436139076
## 8294         High 0.324606222
## 8295         High 0.233233927
## 8296         High 0.121749933
## 8297          Low 1.323161916
## 8298         High 1.528986540
## 8299          Low 0.233916320
## 8300          Low 0.530665040
## 8301          Low 0.770758920
## 8302         High 0.324606222
## 8303          Low 0.233233927
## 8304         High 0.380371751
## 8305          Low 0.121749933
## 8306          Low 1.125541924
## 8307          Low 1.281703393
## 8308          Low 1.071675437
## 8309          Low 0.324606222
## 8310          Low 0.480753810
## 8311          Low 0.032862744
## 8312          Low 0.547676922
## 8313         High 0.062973759
## 8314         High 0.877915680
## 8315          Low 0.382602414
## 8316          Low 0.547676922
## 8317          Low 0.567829952
## 8318          Low 0.681525475
## 8319         High 0.032862744
## 8320         High 0.121749933
## 8321         High 0.659217226
## 8322         High 0.547676922
## 8323          Low 0.233916320
## 8324         High 0.530665040
## 8325         High 1.236659702
## 8326          Low 1.254563954
## 8327         High 1.483248069
## 8328         High 0.114988832
## 8329          Low 1.025966504
## 8330          Low 0.770758920
## 8331         High 0.324606222
## 8332         High 0.679370564
## 8333         High 1.013998335
## 8334         High 1.237085787
## 8335         High 0.636909030
## 8336          Low 0.413831977
## 8337          Low 0.302300736
## 8338          Low 0.419051820
## 8339          Low 0.689632373
## 8340         High 0.121749933
## 8341         High 0.902455122
## 8342         High 0.866016626
## 8343         High 1.551861953
## 8344          Low 0.101621246
## 8345          Low 0.790912444
## 8346          Low 1.237085787
## 8347          Low 0.324606222
## 8348         High 0.233233927
## 8349         High 0.121749933
## 8350          Low 1.323161916
## 8351          Low 1.528986540
## 8352         High 0.659217226
## 8353         High 0.503061397
## 8354         High 0.534368135
## 8355          Low 0.101621246
## 8356          Low 0.324606222
## 8357          Low 0.233916320
## 8358          Low 0.530665040
## 8359          Low 0.324606222
## 8360          Low 0.233233927
## 8361         High 0.534292221
## 8362          Low 0.362602456
## 8363          Low 0.436139076
## 8364          Low 0.547676922
## 8365          Low 0.344757459
## 8366         High 0.121749933
## 8367          Low 0.030591891
## 8368         High 0.547676922
## 8369          Low 0.121749933
## 8370         High 0.324606222
## 8371          Low 0.659217226
## 8372         High 0.770758920
## 8373         High 0.547676922
## 8374         High 0.902455122
## 8375         High 1.125541924
## 8376         High 0.980252009
## 8377         High 1.208839252
## 8378         High 0.659217226
## 8379         High 0.436139076
## 8380          Low 0.011517406
## 8381         High 0.790912444
## 8382          Low 0.547676922
## 8383          Low 0.233233927
## 8384         High 0.653863254
## 8385         High 0.324606222
## 8386         High 0.144039162
## 8387         High 0.075132360
## 8388         High 0.629527486
## 8389         High 0.943497057
## 8390         High 1.310468655
## 8391         High 0.188555773
## 8392         High 0.233233927
## 8393          Low 0.213086196
## 8394         High 0.121749933
## 8395          Low 0.612446000
## 8396          Low 0.324606222
## 8397          Low 0.233233927
## 8398         High 0.101621246
## 8399          Low 0.790912444
## 8400         High 1.237085787
## 8401          Low 0.532061440
## 8402         High 0.121749933
## 8403         High 0.819837560
## 8404         High 0.679370564
## 8405          Low 1.323161916
## 8406          Low 1.528986540
## 8407         High 0.770758920
## 8408          Low 0.324606222
## 8409         High 0.101621246
## 8410         High 0.790912444
## 8411         High 0.957407915
## 8412          Low 1.025966504
## 8413          Low 0.547676922
## 8414          Low 0.344757459
## 8415         High 0.413831977
## 8416          Low 0.592292826
## 8417         High 0.547676922
## 8418          Low 0.114988832
## 8419         High 0.235388300
## 8420          Low 0.210931958
## 8421         High 0.519677656
## 8422          Low 0.943497057
## 8423         High 0.011517406
## 8424         High 0.790912444
## 8425         High 0.499984494
## 8426          Low 0.534292221
## 8427         High 0.659217226
## 8428          Low 0.121749933
## 8429         High 0.790912444
## 8430          Low 0.776336031
## 8431         High 0.547676922
## 8432          Low 0.121749933
## 8433          Low 0.079355292
## 8434          Low 0.659217226
## 8435          Low 0.324606222
## 8436          Low 0.173539776
## 8437          Low 0.751837762
## 8438          Low 0.659217226
## 8439          Low 0.121749933
## 8440          Low 0.324606222
## 8441          Low 0.233233927
## 8442          Low 0.866016626
## 8443         High 1.437511361
## 8444          Low 0.547676922
## 8445         High 0.547676922
## 8446          Low 0.911703015
## 8447          Low 0.324606222
## 8448         High 0.233233927
## 8449          Low 0.770758920
## 8450         High 0.324606222
## 8451          Low 0.114988832
## 8452         High 0.567829952
## 8453          Low 0.532061440
## 8454         High 0.659217226
## 8455          Low 0.101621246
## 8456          Low 0.770758920
## 8457          Low 0.636909030
## 8458         High 0.324606222
## 8459          Low 0.532061440
## 8460         High 1.757722886
## 8461          Low 0.344757459
## 8462          Low 0.866016626
## 8463          Low 1.551861953
## 8464          Low 0.213086196
## 8465          Low 0.659217226
## 8466          Low 0.007914226
## 8467          Low 0.633694020
## 8468          Low 1.359757922
## 8469         High 1.323161916
## 8470          Low 1.528986540
## 8471          Low 0.382602414
## 8472          Low 0.121749933
## 8473         High 0.082363288
## 8474         High 0.547676922
## 8475          Low 0.121749933
## 8476          Low 0.317989863
## 8477         High 0.870986402
## 8478          Low 0.436139076
## 8479         High 0.101621246
## 8480         High 0.413831977
## 8481         High 0.034988380
## 8482          Low 0.121749933
## 8483         High 0.659217226
## 8484         High 0.324606222
## 8485         High 0.233233927
## 8486          Low 0.030591891
## 8487          Low 0.121749933
## 8488          Low 0.902455122
## 8489         High 0.324606222
## 8490         High 0.233233927
## 8491          Low 0.980252009
## 8492         High 1.551861953
## 8493          Low 0.547676922
## 8494          Low 0.681525475
## 8495          Low 0.032862744
## 8496          Low 0.279995814
## 8497          Low 0.532061440
## 8498          Low 0.866016626
## 8499         High 0.569984832
## 8500          Low 0.077205786
## 8501          Low 0.114988832
## 8502          Low 0.659217226
## 8503         High 0.121749933
## 8504          Low 0.567829952
## 8505          Low 0.902455122
## 8506          Low 0.659217226
## 8507          Low 0.121749933
## 8508         High 1.114041216
## 8509          Low 1.483208981
## 8510         High 0.659217226
## 8511         High 0.567829952
## 8512         High 0.742873401
## 8513          Low 0.240964026
## 8514         High 0.742873401
## 8515          Low 0.742873401
## 8516         High 0.742873401
## 8517         High 0.240964026
## 8518          Low 0.480753810
## 8519         High 0.819837560
## 8520          Low 1.336248456
## 8521         High 0.532061440
## 8522          Low 1.323161916
## 8523          Low 1.528986540
## 8524         High 0.819837560
## 8525          Low 0.532061440
## 8526          Low 0.659217226
## 8527          Low 0.121749933
## 8528         High 0.101621246
## 8529          Low 0.233233927
## 8530         High 0.532061440
## 8531          Low 0.547676922
## 8532          Low 0.114988832
## 8533          Low 0.819837560
## 8534         High 0.317989863
## 8535         High 0.751281732
## 8536         High 0.532061440
## 8537          Low 0.786374835
## 8538         High 0.259997886
## 8539          Low 0.659217226
## 8540         High 0.233916320
## 8541          Low 0.530665040
## 8542          Low 0.083276951
## 8543          Low 1.616336207
## 8544          Low 1.597602794
## 8545          Low 0.302300736
## 8546          Low 0.405979928
## 8547          Low 0.547676922
## 8548          Low 0.121749933
## 8549         High 0.659217226
## 8550          Low 0.121749933
## 8551         High 0.636909030
## 8552          Low 0.532061440
## 8553          Low 0.547676922
## 8554          Low 0.011517406
## 8555         High 0.818209039
## 8556          Low 0.079355292
## 8557          Low 0.590137939
## 8558          Low 0.079355292
## 8559         High 0.410102478
## 8560          Low 0.514215238
## 8561         High 0.344757459
## 8562          Low 0.628061684
## 8563          Low 1.335244559
## 8564          Low 0.480753810
## 8565          Low 0.101621246
## 8566          Low 0.681525475
## 8567          Low 0.770758920
## 8568          Low 0.547676922
## 8569         High 0.344757459
## 8570         High 0.324606222
## 8571         High 0.121749933
## 8572         High 0.456291539
## 8573          Low 0.612446000
## 8574         High 0.101621246
## 8575          Low 0.681525475
## 8576          Low 0.032862744
## 8577          Low 1.323161916
## 8578          Low 1.528986540
## 8579         High 0.114988832
## 8580          Low 1.114041216
## 8581         High 1.359757922
## 8582          Low 0.547676922
## 8583         High 0.659217226
## 8584          Low 0.121749933
## 8585          Low 0.121749933
## 8586          Low 0.324606222
## 8587          Low 0.233233927
## 8588          Low 1.187551870
## 8589         High 0.924763728
## 8590          Low 1.483248069
## 8591          Low 0.237618582
## 8592          Low 0.480753810
## 8593          Low 0.747067379
## 8594          Low 0.657062320
## 8595         High 0.302300736
## 8596          Low 0.547676922
## 8597          Low 0.121749933
## 8598         High 0.335214826
## 8599          Low 0.519677656
## 8600         High 0.567829952
## 8601          Low 1.181313826
## 8602         High 0.770758920
## 8603          Low 0.659217226
## 8604          Low 0.121749933
## 8605         High 0.819837560
## 8606          Low 0.445151199
## 8607         High 0.547676922
## 8608         High 0.101621246
## 8609          Low 0.391525097
## 8610         High 0.294569847
## 8611          Low 0.121749933
## 8612         High 0.188631658
## 8613         High 0.344757459
## 8614         High 0.121749933
## 8615         High 0.567829952
## 8616         High 1.181313826
## 8617          Low 0.503061397
## 8618         High 0.534368135
## 8619         High 0.011517406
## 8620          Low 0.790912444
## 8621          Low 0.380371751
## 8622          Low 0.257691601
## 8623         High 0.026291667
## 8624         High 1.254563954
## 8625         High 1.551861953
## 8626         High 0.144039162
## 8627         High 0.101621246
## 8628         High 0.532061440
## 8629          Low 1.683262890
## 8630         High 0.612446000
## 8631          Low 1.281703393
## 8632         High 0.547676922
## 8633         High 0.233233927
## 8634         High 0.612446000
## 8635         High 1.415556376
## 8636          Low 0.213086196
## 8637          Low 0.612446000
## 8638         High 1.281703393
## 8639          Low 0.548792316
## 8640          Low 0.007860543
## 8641          Low 0.362602456
## 8642          Low 0.478598972
## 8643          Low 1.147850677
## 8644         High 0.567829952
## 8645         High 0.526116749
## 8646         High 1.681257551
## 8647         High 0.532061440
## 8648         High 0.114988832
## 8649          Low 0.491981521
## 8650         High 0.532061440
## 8651          Low 0.532061440
## 8652         High 0.057122956
## 8653         High 1.504791812
## 8654         High 0.456291539
## 8655          Low 0.902455122
## 8656         High 1.504791812
## 8657          Low 0.252328913
## 8658          Low 0.519677656
## 8659          Low 0.030591891
## 8660          Low 1.237085787
## 8661          Low 0.532061440
## 8662         High 1.504791812
## 8663          Low 0.547676922
## 8664         High 0.400447820
## 8665          Low 0.387139661
## 8666          Low 0.324606222
## 8667          Low 1.125541924
## 8668          Low 0.532061440
## 8669         High 0.547676922
## 8670          Low 0.114988832
## 8671         High 0.324606222
## 8672          Low 0.748450500
## 8673         High 0.369218475
## 8674         High 0.532061440
## 8675          Low 0.761835548
## 8676          Low 0.440676432
## 8677          Low 1.237085787
## 8678         High 0.532061440
## 8679         High 0.532061440
## 8680          Low 0.161874471
## 8681          Low 0.213086196
## 8682          Low 0.233233927
## 8683          Low 0.880146538
## 8684          Low 1.237085787
## 8685          Low 1.323161916
## 8686          Low 1.528986540
## 8687         High 0.636909030
## 8688          Low 0.166333697
## 8689         High 0.011517406
## 8690          Low 0.969380998
## 8691         High 1.080924451
## 8692          Low 0.221114793
## 8693          Low 0.425792534
## 8694          Low 0.751837762
## 8695         High 1.437511361
## 8696          Low 0.057122956
## 8697         High 0.978527540
## 8698          Low 0.233916320
## 8699         High 0.530665040
## 8700          Low 0.804779325
## 8701          Low 1.254563954
## 8702         High 1.551861953
## 8703          Low 0.706179653
## 8704         High 0.843171276
## 8705          Low 0.344757459
## 8706         High 0.397739409
## 8707         High 0.523787078
## 8708         High 0.057122956
## 8709         High 0.456291539
## 8710         High 0.592292826
## 8711          Low 0.547676922
## 8712         High 0.101621246
## 8713          Low 1.149347641
## 8714          Low 1.270427903
## 8715          Low 0.659217226
## 8716         High 0.594523630
## 8717         High 1.906352026
## 8718         High 0.770758920
## 8719          Low 0.101621246
## 8720          Low 0.456291539
## 8721          Low 0.947072354
## 8722          Low 0.237618582
## 8723          Low 1.237085787
## 8724         High 0.127321591
## 8725          Low 0.826606030
## 8726         High 0.503061397
## 8727          Low 0.659217226
## 8728         High 0.547676922
## 8729          Low 0.101621246
## 8730         High 0.804779325
## 8731          Low 0.456291539
## 8732         High 0.576677222
## 8733          Low 0.011517406
## 8734          Low 0.804779325
## 8735          Low 0.804779325
## 8736          Low 0.101621246
## 8737         High 0.144039162
## 8738          Low 0.804779325
## 8739         High 0.804779325
## 8740         High 0.804779325
## 8741          Low 0.659217226
## 8742          Low 0.804779325
## 8743          Low 0.804779325
## 8744          Low 0.804779325
## 8745          Low 0.558830866
## 8746         High 0.547676922
## 8747         High 0.478598972
## 8748         High 0.121749933
## 8749          Low 1.013998335
## 8750          Low 0.751281732
## 8751          Low 0.992056515
## 8752          Low 0.799759917
## 8753         High 0.074980885
## 8754          Low 1.254563954
## 8755          Low 1.551861953
## 8756          Low 0.353377675
## 8757         High 0.168487485
## 8758          Low 1.666222242
## 8759         High 0.576677222
## 8760         High 0.576677222
## 8761          Low 0.576677222
## 8762          Low 0.659217226
## 8763          Low 0.659217226
## 8764          Low 0.567829952
## 8765          Low 0.456291539
## 8766          Low 0.594523630
## 8767         High 1.013998335
## 8768          Low 0.980252009
## 8769          Low 1.237085787
## 8770          Low 0.770758920
## 8771          Low 0.011517406
## 8772         High 0.751281732
## 8773         High 0.992056515
## 8774         High 0.770758920
## 8775         High 0.121749933
## 8776          Low 1.013998335
## 8777         High 0.057122956
## 8778          Low 1.906352026
## 8779          Low 0.659217226
## 8780         High 0.532061440
## 8781          Low 0.121749933
## 8782         High 0.380371751
## 8783          Low 0.121749933
## 8784          Low 2.017896684
## 8785          Low 0.277841261
## 8786         High 0.723987197
## 8787          Low 0.121749933
## 8788          Low 1.013998335
## 8789          Low 0.703699924
## 8790          Low 0.086776370
## 8791          Low 0.947072354
## 8792         High 0.636909030
## 8793         High 0.166333697
## 8794          Low 0.804779325
## 8795          Low 1.094537182
## 8796         High 0.681525475
## 8797         High 0.146192553
## 8798         High 0.770758920
## 8799         High 0.547676922
## 8800          Low 0.947072354
## 8801         High 1.483123232
## 8802          Low 0.947072354
## 8803          Low 0.804779325
## 8804          Low 0.177482330
## 8805          Low 0.833222669
## 8806          Low 0.751837762
## 8807         High 1.237085787
## 8808          Low 0.553030812
## 8809          Low 0.776336031
## 8810          Low 0.659217226
## 8811          Low 0.213086196
## 8812         High 0.804779325
## 8813         High 0.804779325
## 8814         High 0.804779325
## 8815         High 0.679370564
## 8816          Low 0.523787078
## 8817          Low 0.751837762
## 8818         High 0.412211246
## 8819         High 0.633694020
## 8820          Low 0.523787078
## 8821         High 0.751837762
## 8822          Low 0.804779325
## 8823         High 0.804779325
## 8824          Low 0.346448217
## 8825         High 0.751186041
## 8826         High 0.804779325
## 8827          Low 0.318692728
## 8828          Low 0.708127134
## 8829          Low 0.804779325
## 8830         High 0.804779325
## 8831          Low 0.213086196
## 8832         High 1.666222242
## 8833         High 0.545522051
## 8834          Low 0.880146538
## 8835          Low 1.326321028
## 8836          Low 0.567829952
## 8837          Low 0.683756303
## 8838          Low 0.947072354
## 8839         High 0.245185593
## 8840          Low 0.252328913
## 8841          Low 1.390772109
## 8842          Low 0.804779325
## 8843          Low 0.804779325
## 8844          Low 0.804779325
## 8845          Low 0.233233927
## 8846          Low 0.790912444
## 8847          Low 0.679370564
## 8848          Low 0.168487485
## 8849          Low 0.547676922
## 8850          Low 0.168487485
## 8851         High 0.770758920
## 8852         High 1.237085787
## 8853          Low 0.939512494
## 8854          Low 0.770758920
## 8855          Low 1.700533043
## 8856          Low 0.947072354
## 8857         High 0.308992328
## 8858          Low 0.011517406
## 8859          Low 0.344757459
## 8860          Low 0.419854874
## 8861         High 1.163117812
## 8862         High 0.712757106
## 8863          Low 0.947072354
## 8864          Low 0.354395009
## 8865          Low 0.523214244
## 8866          Low 0.101621246
## 8867          Low 0.636909030
## 8868          Low 0.324606222
## 8869          Low 0.173539776
## 8870          Low 0.410102478
## 8871          Low 0.947072354
## 8872          Low 0.659217226
## 8873         High 0.456291539
## 8874          Low 0.659217226
## 8875         High 0.456291539
## 8876         High 0.188555773
## 8877         High 0.458446363
## 8878          Low 0.558830866
## 8879          Low 0.659217226
## 8880          Low 0.412211246
## 8881          Low 0.870986402
## 8882          Low 0.257691601
## 8883         High 0.134008194
## 8884         High 0.659217226
## 8885          Low 0.532061440
## 8886          Low 1.236659702
## 8887          Low 0.633694020
## 8888          Low 1.114041216
## 8889         High 0.547676922
## 8890          Low 0.767635739
## 8891          Low 0.400447820
## 8892          Low 0.387139661
## 8893         High 1.254563954
## 8894          Low 0.799759917
## 8895         High 0.074980885
## 8896         High 0.799759917
## 8897         High 0.074980885
## 8898          Low 1.237085787
## 8899          Low 0.523787078
## 8900          Low 1.114041216
## 8901          Low 0.947072354
## 8902          Low 0.772989764
## 8903         High 0.576677222
## 8904          Low 1.817116340
## 8905          Low 1.817116340
## 8906          Low 0.947072354
## 8907         High 0.576677222
## 8908         High 0.213086196
## 8909          Low 0.213086196
## 8910          Low 0.532061440
## 8911          Low 0.770758920
## 8912          Low 1.237085787
## 8913          Low 0.523787078
## 8914          Low 0.413332649
## 8915         High 1.281703393
## 8916          Low 0.121749933
## 8917          Low 1.125541924
## 8918          Low 0.547676922
## 8919          Low 0.674232874
## 8920          Low 1.220267380
## 8921         High 0.141809959
## 8922          Low 1.147850677
## 8923         High 0.947072354
## 8924          Low 0.947072354
## 8925         High 0.947072354
## 8926          Low 0.547676922
## 8927          Low 0.121749933
## 8928          Low 0.567829952
## 8929         High 0.121749933
## 8930          Low 1.683262890
## 8931         High 1.734844505
## 8932          Low 0.542090092
## 8933          Low 1.114041216
## 8934          Low 1.025966504
## 8935          Low 0.547676922
## 8936          Low 0.751281732
## 8937         High 0.522580636
## 8938          Low 0.262228279
## 8939         High 0.121749933
## 8940          Low 0.687325628
## 8941         High 0.085587498
## 8942          Low 0.300146122
## 8943          Low 0.476841938
## 8944          Low 0.317989863
## 8945          Low 0.257691601
## 8946          Low 0.134008194
## 8947         High 0.525369106
## 8948          Low 0.433984270
## 8949         High 0.308992328
## 8950         High 0.121749933
## 8951          Low 1.794807424
## 8952          Low 0.683296610
## 8953          Low 0.121749933
## 8954          Low 0.122231237
## 8955         High 1.843887042
## 8956         High 0.300146122
## 8957         High 0.576677222
## 8958          Low 1.874974490
## 8959         High 2.017896684
## 8960         High 0.659217226
## 8961         High 1.450037895
## 8962         High 0.500906547
## 8963         High 0.519677656
## 8964          Low 0.992056515
## 8965         High 0.166257822
## 8966         High 0.337619526
## 8967         High 0.923133997
## 8968         High 0.239936330
## 8969          Low 0.519677656
## 8970          Low 0.324606222
## 8971         High 0.166257822
## 8972          Low 0.337619526
## 8973         High 0.005695146
## 8974         High 1.322087901
## 8975         High 0.252328913
## 8976          Low 0.519677656
## 8977          Low 0.233916320
## 8978          Low 0.530665040
## 8979         High 0.523787078
## 8980          Low 0.592292826
## 8981          Low 0.391525097
## 8982          Low 1.208839252
## 8983          Low 1.208839252
## 8984          Low 0.720250751
## 8985         High 0.599431401
## 8986         High 0.703699924
## 8987         High 0.086776370
## 8988         High 0.522580636
## 8989         High 0.262228279
## 8990          Low 1.644080285
## 8991          Low 0.103924667
## 8992          Low 1.359757922
## 8993          Low 1.606920840
## 8994          Low 1.437511361
## 8995         High 1.666222242
## 8996          Low 0.523787078
## 8997          Low 0.751837762
## 8998          Low 0.412211246
## 8999          Low 0.633694020
## 9000          Low 0.523787078
## 9001          Low 0.751837762
## 9002          Low 1.437511361
## 9003         High 1.666222242
## 9004         High 0.519677656
## 9005         High 0.870986402
## 9006         High 0.779682298
## 9007         High 0.980252009
## 9008          Low 1.323161916
## 9009         High 0.992056515
## 9010         High 1.483208981
## 9011         High 0.980252009
## 9012          Low 1.323161916
## 9013          Low 0.870986402
## 9014          Low 1.236659702
## 9015         High 1.303049957
## 9016          Low 1.013998335
## 9017          Low 0.503137311
## 9018          Low 0.926994590
## 9019         High 0.152880601
## 9020          Low 0.567829952
## 9021         High 1.058615733
## 9022          Low 1.058615733
## 9023         High 0.681525475
## 9024          Low 0.074905177
## 9025          Low 1.114041216
## 9026          Low 1.606920840
## 9027         High 0.870986402
## 9028          Low 1.359757922
## 9029         High 0.328175144
## 9030          Low 0.418070310
## 9031          Low 0.337619526
## 9032          Low 0.599431401
## 9033          Low 0.324606222
## 9034          Low 0.469600068
## 9035         High 0.018875114
## 9036         High 0.235388300
## 9037          Low 0.144039162
## 9038          Low 0.337989737
## 9039         High 0.547676922
## 9040          Low 0.344757459
## 9041         High 0.074980885
## 9042          Low 0.458522276
## 9043          Low 0.695356615
## 9044          Low 0.136014292
## 9045         High 0.252328913
## 9046          Low 0.412211246
## 9047         High 0.391525097
## 9048          Low 1.359757922
## 9049         High 1.483208981
## 9050          Low 0.547676922
## 9051         High 0.101621246
## 9052          Low 0.659217226
## 9053          Low 0.706979248
## 9054          Low 0.391525097
## 9055         High 0.870986402
## 9056         High 1.114041216
## 9057         High 0.739527142
## 9058          Low 0.329143284
## 9059         High 0.547676922
## 9060          Low 0.984997059
## 9061          Low 0.547676922
## 9062          Low 0.984997059
## 9063          Low 0.168487485
## 9064          Low 0.220967668
## 9065         High 0.224237076
## 9066          Low 0.166257822
## 9067          Low 0.337619526
## 9068          Low 0.166257822
## 9069          Low 0.337619526
## 9070         High 0.599431401
## 9071          Low 0.694910449
## 9072          Low 0.085587498
## 9073          Low 0.522580636
## 9074          Low 0.262228279
## 9075          Low 0.659217226
## 9076          Low 0.779682298
## 9077          Low 0.779758215
## 9078         High 1.147850677
## 9079          Low 0.779682298
## 9080          Low 0.776336031
## 9081          Low 0.238733727
## 9082          Low 0.142924554
## 9083          Low 0.547676922
## 9084          Low 0.166257822
## 9085          Low 0.337619526
## 9086          Low 0.456291539
## 9087          Low 0.679370564
## 9088          Low 0.213086196
## 9089          Low 0.799759917
## 9090         High 0.074980885
## 9091         High 0.233916320
## 9092          Low 0.530665040
## 9093          Low 0.141809959
## 9094          Low 0.547676922
## 9095          Low 0.112760607
## 9096          Low 1.114041216
## 9097          Low 1.483208981
## 9098          Low 0.567829952
## 9099          Low 1.013998335
## 9100          Low 0.085587498
## 9101         High 0.547676922
## 9102          Low 0.857837975
## 9103          Low 1.192468214
## 9104         High 0.458446363
## 9105         High 0.525369106
## 9106         High 0.144039162
## 9107          Low 0.770758920
## 9108          Low 0.770758920
## 9109         High 0.770758920
## 9110          Low 0.121749933
## 9111         High 0.813220926
## 9112          Low 0.770758920
## 9113          Low 0.122231237
## 9114          Low 0.121749933
## 9115         High 1.794807424
## 9116         High 0.469600068
## 9117          Low 0.018875114
## 9118          Low 0.011517406
## 9119          Low 0.121749933
## 9120          Low 0.659217226
## 9121         High 0.770758920
## 9122         High 0.659217226
## 9123          Low 1.237085787
## 9124          Low 0.770758920
## 9125          Low 0.633694020
## 9126          Low 0.324606222
## 9127          Low 0.324606222
## 9128          Low 0.324606222
## 9129          Low 0.902455122
## 9130          Low 0.121749933
## 9131          Low 0.013716070
## 9132          Low 0.011517406
## 9133          Low 0.567829952
## 9134          Low 0.464471464
## 9135          Low 0.834117888
## 9136         High 0.324606222
## 9137          Low 1.140252944
## 9138         High 1.208839252
## 9139          Low 0.679370564
## 9140          Low 0.626187204
## 9141          Low 0.902455122
## 9142          Low 0.866016626
## 9143          Low 0.079355292
## 9144          Low 0.660954690
## 9145         High 1.906352026
## 9146         High 0.289685283
## 9147          Low 1.057155302
## 9148         High 0.612446000
## 9149          Low 0.659217226
## 9150          Low 0.213086196
## 9151          Low 0.425628142
## 9152          Low 1.460174084
## 9153          Low 1.666222242
## 9154          Low 1.048814874
## 9155         High 1.207983865
## 9156          Low 0.410102478
## 9157          Low 0.425792534
## 9158         High 0.121749933
## 9159          Low 0.464471464
## 9160          Low 1.340943334
## 9161          Low 0.679370564
## 9162         High 1.906352026
## 9163          Low 1.689099753
## 9164         High 0.790934753
## 9165          Low 1.144823643
## 9166         High 1.003108536
## 9167          Low 0.324606222
## 9168          Low 0.659217226
## 9169          Low 0.659217226
## 9170          Low 0.567829952
## 9171         High 0.279088570
## 9172          Low 0.934554575
## 9173          Low 1.281703393
## 9174         High 1.906352026
## 9175          Low 0.344757459
## 9176          Low 0.121749933
## 9177          Low 0.121749933
## 9178         High 0.121749933
## 9179          Low 1.817116340
## 9180          Low 1.495868265
## 9181          Low 0.121749933
## 9182          Low 0.512060381
## 9183          Low 1.332064464
## 9184         High 0.324606222
## 9185          Low 0.523787078
## 9186          Low 1.906352026
## 9187          Low 0.436139076
## 9188          Low 0.324606222
## 9189         High 0.402075004
## 9190         High 1.894976082
## 9191          Low 1.237085787
## 9192         High 1.013998335
## 9193          Low 0.121749933
## 9194          Low 0.121749933
## 9195          Low 0.662012766
## 9196          Low 1.113040868
## 9197          Low 1.066676596
## 9198          Low 0.799667338
## 9199         High 1.125541924
## 9200          Low 0.567829952
## 9201         High 0.790912444
## 9202          Low 0.392367745
## 9203          Low 1.042638640
## 9204          Low 0.923576245
## 9205         High 0.456291539
## 9206          Low 0.436139076
## 9207          Low 0.324606222
## 9208          Low 1.374430738
## 9209          Low 0.805675331
## 9210          Low 0.919111126
## 9211         High 0.500088622
## 9212         High 0.054978670
## 9213         High 0.344757459
## 9214          Low 0.344757459
## 9215         High 1.013998335
## 9216         High 1.237085787
## 9217          Low 1.002763071
## 9218          Low 1.380457738
## 9219          Low 1.224663469
## 9220          Low 0.101621246
## 9221         High 0.799667338
## 9222          Low 1.138902736
## 9223          Low 0.567829952
## 9224          Low 0.726142117
## 9225          Low 0.770758920
## 9226          Low 0.732554693
## 9227         High 0.567829952
## 9228          Low 1.331675146
## 9229          Low 0.121749933
## 9230          Low 1.259544286
## 9231          Low 0.688381124
## 9232          Low 0.779861679
## 9233         High 1.303064420
## 9234          Low 0.546087377
## 9235         High 0.476476026
## 9236         High 0.377497591
## 9237          Low 0.433614273
## 9238         High 0.213086196
## 9239         High 1.367378827
## 9240          Low 0.013443446
## 9241          Low 0.293265715
## 9242          Low 2.018185221
## 9243         High 0.411784467
## 9244          Low 0.790912444
## 9245          Low 0.843750089
## 9246          Low 0.348670075
## 9247         High 0.011517406
## 9248          Low 0.277841261
## 9249          Low 1.105181922
## 9250          Low 0.344757459
## 9251          Low 0.888151840
## 9252          Low 0.573109480
## 9253          Low 1.598600952
## 9254          Low 0.983555452
## 9255          Low 0.322451558
## 9256          Low 0.325429114
## 9257          Low 0.567829952
## 9258          Low 0.391177593
## 9259          Low 1.415556376
## 9260          Low 0.213086196
## 9261         High 0.772393795
## 9262          Low 0.101621246
## 9263          Low 0.321894920
## 9264         High 0.101621246
## 9265          Low 0.688381124
## 9266          Low 0.735141382
## 9267          Low 0.922763695
## 9268          Low 0.121749933
## 9269         High 0.146192553
## 9270          Low 1.793203932
## 9271         High 1.125541924
## 9272          Low 1.058615733
## 9273          Low 0.121749933
## 9274          Low 0.762808758
## 9275          Low 0.456291539
## 9276          Low 0.779861679
## 9277          Low 0.011517406
## 9278          Low 0.746295576
## 9279          Low 1.018619695
## 9280          Low 2.587279788
## 9281          Low 0.141176807
## 9282          Low 0.274495590
## 9283          Low 1.826892510
## 9284          Low 1.042638640
## 9285         High 0.617636635
## 9286          Low 0.587590792
## 9287          Low 0.659217226
## 9288         High 1.841473985
## 9289         High 0.284399730
## 9290          Low 0.659217226
## 9291          Low 1.865214370
## 9292          Low 0.436139076
## 9293          Low 1.279279552
## 9294          Low 0.922763695
## 9295          Low 1.237085787
## 9296          Low 1.517299497
## 9297          Low 0.411677190
## 9298          Low 1.817168567
## 9299          Low 0.505985680
## 9300          Low 0.545522051
## 9301          Low 0.344757459
## 9302          Low 1.090732305
## 9303          Low 1.574339203
## 9304          Low 0.456291539
## 9305         High 1.278415796
## 9306         High 0.363805542
## 9307          Low 1.502666144
## 9308         High 0.155366415
## 9309          Low 0.546087377
## 9310          Low 1.103233182
## 9311         High 1.694636426
## 9312          Low 0.546087377
## 9313         High 1.350640328
## 9314          Low 0.166333697
## 9315          Low 1.096849819
## 9316          Low 1.187121418
## 9317          Low 1.841473985
## 9318          Low 0.324606222
## 9319          Low 1.906352026
## 9320          Low 3.205427988
## 9321          Low 1.237085787
## 9322          Low 1.525832527
## 9323          Low 1.469660100
## 9324         High 1.041884139
## 9325          Low 0.505985680
## 9326          Low 1.898833009
## 9327          Low 0.101621246
## 9328          Low 0.770758920
## 9329          Low 0.324606222
## 9330         High 0.294154625
## 9331         High 1.173211108
## 9332          Low 0.779861679
## 9333          Low 0.701678858
## 9334          Low 1.950969883
## 9335          Low 1.013998335
## 9336          Low 0.547676922
## 9337         High 1.374719636
## 9338          Low 1.138902736
## 9339          Low 1.541119267
## 9340          Low 1.390142559
## 9341          Low 0.457557960
## 9342         High 1.041884139
## 9343          Low 0.213086196
## 9344          Low 0.679370564
## 9345          Low 0.969380998
## 9346          Low 0.723987197
## 9347         High 1.419193993
## 9348          Low 0.279995814
## 9349         High 0.733950046
## 9350          Low 0.565523243
## 9351         High 1.398236756
## 9352         High 0.887085730
## 9353         High 1.768568648
## 9354          Low 0.011517406
## 9355          Low 0.121749933
head(d.all)
##   Salary_Level        dij
## 1          Low 0.01637957
## 2         High 0.56389314
## 3          Low 0.84052282
## 4         High 0.51927567
## 5          Low 0.41771950
## 6          Low 0.84052282
with(d.all, t.test(dij[Salary_Level=="High"], dij[Salary_Level=="Low"],var.equal=TRUE, alternative="less"))
## 
##  Two Sample t-test
## 
## data:  dij[Salary_Level == "High"] and dij[Salary_Level == "Low"]
## t = -0.92136, df = 9353, p-value = 0.1784
## alternative hypothesis: true difference in means is less than 0
## 95 percent confidence interval:
##         -Inf 0.009085328
## sample estimates:
## mean of x mean of y 
## 0.6762765 0.6878440
sprintf("d-values for High Salary Level: Mean = %2.3f, Variance = %2.3f",mean(d.all$dij[Salary_Level=="High"]),var(d.all$dij[Salary_Level=="High"]))
## [1] "d-values for High Salary Level: Mean = 0.676, Variance = 0.375"
sprintf("d-values for Low salary level: Mean = %2.3f, Variance = %2.3f",mean(d.all$dij[Salary_Level=="Low"]),var(d.all$dij[Salary_Level=="Low"]))
## [1] "d-values for Low salary level: Mean = 0.688, Variance = 0.363"
# Leverne test is used to verify Homoscedasticity. It tests if the variance of two samples are # #equal. Levene's test is an inferential statistic used to assess the equality of variances for a #variable calculated for two or more groups.[1] Some common statistical procedures assume that #variances of the populations from which different samples are drawn are equal. Levene's test #assesses this assumption.

library(car)
## Warning: package 'car' was built under R version 4.3.2
## Loading required package: carData
## Warning: package 'carData' was built under R version 4.3.2
leveneTest(salary ~ Salary_Level, data=dataset)
## Warning in leveneTest.default(y = y, group = group, ...): group coerced to
## factor.
## Levene's Test for Homogeneity of Variance (center = median)
##         Df F value    Pr(>F)    
## group    1  267.49 < 2.2e-16 ***
##       9353                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#leveneTest() produces a two-sided test
leveneTest(salary_in_usd ~ Salary_Level, data=dataset)
## Warning in leveneTest.default(y = y, group = group, ...): group coerced to
## factor.
## Levene's Test for Homogeneity of Variance (center = median)
##         Df F value    Pr(>F)    
## group    1  334.32 < 2.2e-16 ***
##       9353                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# ANOVA
summary(aov(salary ~ Salary_Level))
##                Df    Sum Sq   Mean Sq F value Pr(>F)    
## Salary_Level    1 2.285e+13 2.285e+13   14246 <2e-16 ***
## Residuals    9353 1.500e+13 1.604e+09                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
summary(aov(salary_in_usd ~ Salary_Level))
##                Df    Sum Sq   Mean Sq F value Pr(>F)    
## Salary_Level    1 2.271e+13 2.271e+13   14523 <2e-16 ***
## Residuals    9353 1.463e+13 1.564e+09                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# mahalanobis
library(stats)

dataset_MD <- mahalanobis(dataset_x, dataset_cm, dataset_S)
dataset_MD
##    [1] 1.415838e+00 3.220856e-01 1.176400e+00 9.572230e-01 8.149699e-01
##    [6] 1.048187e-01 6.349547e-01 1.379457e+00 3.545133e-02 8.963378e-01
##   [11] 8.084450e-02 1.379457e+00 3.545133e-02 3.771970e+00 3.873376e+00
##   [16] 7.671644e-01 1.421299e+00 5.620864e+00 1.759273e+00 2.834379e-02
##   [21] 2.314122e-01 7.392406e-01 1.824521e-02 7.603610e-03 4.081242e-01
##   [26] 3.387981e+00 2.730313e-03 1.298921e+00 5.291955e-02 3.801894e+00
##   [31] 2.576350e-01 7.646134e-02 4.818139e-01 3.202968e-01 1.120489e-01
##   [36] 3.044233e-01 1.253096e+00 2.020840e-01 7.810745e-01 2.361799e+00
##   [41] 2.990882e-02 1.680154e-01 6.349547e-01 7.392406e-01 1.824521e-02
##   [46] 2.376412e+00 1.340598e-01 1.342549e+00 3.256782e-01 7.646134e-02
##   [51] 4.818139e-01 3.202968e-01 1.120489e-01 1.536711e+00 1.866526e+00
##   [56] 2.209543e-01 1.223107e-02 4.420795e+00 3.722774e-01 7.661381e-02
##   [61] 2.116482e+00 2.209224e-02 3.028693e-01 6.349547e-01 1.421299e+00
##   [66] 3.387981e+00 1.057237e-02 4.027914e+00 3.737436e+00 4.721918e+00
##   [71] 1.023041e-02 9.119037e-01 1.616157e+00 5.973042e-01 3.651612e-02
##   [76] 1.085722e-01 3.328259e-01 2.872621e-01 1.881717e-01 1.833487e+00
##   [81] 1.462059e-01 5.642498e-02 2.499714e-01 1.401842e+00 1.987374e-03
##   [86] 1.016921e+00 2.825071e-01 1.220811e+00 1.987374e-03 1.987374e-03
##   [91] 6.349547e-01 2.371536e+00 1.226097e-01 7.603610e-03 2.314122e-01
##   [96] 1.466247e+00 7.404140e-02 2.872621e-01 1.881717e-01 1.048187e-01
##  [101] 2.791633e-01 2.574948e-02 2.834379e-02 6.406363e-02 1.497739e+00
##  [106] 3.202968e-01 1.120489e-01 1.048187e-01 5.382083e-01 1.517442e-02
##  [111] 2.960828e-01 5.642498e-02 2.499714e-01 1.220811e+00 2.236293e-01
##  [116] 2.872621e-01 1.881717e-01 1.052310e+00 6.219831e-01 2.647164e+00
##  [121] 9.491591e-02 1.220811e+00 1.680154e-01 3.726656e+00 3.873376e+00
##  [126] 8.963378e-01 4.631855e-03 3.220856e-01 3.088221e-02 7.528957e-01
##  [131] 2.730313e-03 1.220811e+00 3.977469e-01 7.528957e-01 2.730313e-03
##  [136] 4.602383e-02 4.081242e-01 1.204205e-01 6.515719e-03 3.249176e-03
##  [141] 6.603943e-01 1.987374e-03 1.048187e-01 5.152746e-01 6.603943e-01
##  [146] 2.396831e+00 2.313571e-01 4.429813e-01 8.963378e-01 4.631855e-03
##  [151] 4.916476e+00 5.420955e-01 1.220811e+00 1.680154e-01 1.553649e-01
##  [156] 1.048187e-01 3.044233e-01 1.987374e-03 8.900768e-03 3.135034e-01
##  [161] 7.661381e-02 2.121088e+00 3.135034e-01 7.671644e-01 6.315432e+00
##  [166] 3.825962e+00 3.004819e+00 3.614334e+00 4.980076e+00 3.927276e+00
##  [171] 4.980076e+00 3.927276e+00 1.807470e+00 1.686906e+02 1.838552e+01
##  [176] 1.607415e+00 2.834379e-02 1.626746e-01 1.381971e+00 1.394360e+00
##  [181] 9.395319e-02 2.910890e+00 1.097747e-01 5.262744e-01 2.164975e-01
##  [186] 5.216995e-01 1.150349e-01 6.406363e-02 1.493869e+00 1.220811e+00
##  [191] 2.574948e-02 1.069173e+00 1.823545e+00 1.220811e+00 6.349547e-01
##  [196] 3.044233e-01 2.730313e-03 1.220811e+00 6.349547e-01 2.757992e+00
##  [201] 3.215869e+00 1.220811e+00 6.349547e-01 1.220811e+00 6.349547e-01
##  [206] 1.220811e+00 6.349547e-01 4.081242e-01 1.238971e+00 3.873376e+00
##  [211] 1.971454e-03 1.576183e+00 7.389158e-02 2.164975e-01 7.661381e-02
##  [216] 2.116482e+00 6.031645e-02 4.081242e-01 5.843036e+00 4.106336e+00
##  [221] 3.479342e-01 3.299730e-01 3.479342e-01 3.299730e-01 6.406363e-02
##  [226] 1.493869e+00 6.111436e+00 8.719142e-02 3.479342e-01 3.299730e-01
##  [231] 3.967633e+00 3.967633e+00 5.642498e-02 2.834379e-02 1.987374e-03
##  [236] 7.220347e-02 2.164975e-01 3.044233e-01 1.253096e+00 4.017405e-01
##  [241] 7.643974e-01 7.661381e-02 2.116482e+00 9.119037e-01 1.616157e+00
##  [246] 6.406363e-02 1.493869e+00 6.031645e-02 6.349547e-01 2.313571e-01
##  [251] 4.429813e-01 5.179597e+00 4.385847e-01 3.358915e+00 7.220347e-02
##  [256] 6.219831e-01 1.987374e-03 4.792015e-02 9.670771e-01 2.296317e-01
##  [261] 3.487453e-02 3.927276e+00 3.737436e+00 7.137241e+00 7.805817e-01
##  [266] 1.052310e+00 1.906303e-02 3.358915e+00 7.220347e-02 2.767962e-02
##  [271] 1.073429e+00 1.990135e-01 5.062415e-01 1.298921e+00 5.291955e-02
##  [276] 1.052310e+00 1.906303e-02 2.020113e+00 8.963378e-01 2.020840e-01
##  [281] 7.810745e-01 1.987374e-03 2.960828e-01 9.119037e-01 8.900768e-03
##  [286] 1.261279e-01 5.477993e-03 1.494419e-01 2.020113e+00 1.421871e-02
##  [291] 1.208608e+00 5.291955e-02 1.987374e-03 2.236293e-01 1.618506e-01
##  [296] 2.376412e+00 1.340598e-01 2.043462e+00 2.275909e+00 2.494942e+00
##  [301] 1.618506e-01 3.977469e-01 9.963010e-02 6.884939e-01 8.811817e-02
##  [306] 8.551426e-02 3.881976e-01 6.990271e-01 1.375343e-01 1.617367e-01
##  [311] 1.124190e+00 3.649474e-01 8.583541e-01 6.219831e-01 2.574948e-02
##  [316] 1.941713e+00 3.044233e-01 1.987374e-03 2.574948e-02 1.048187e-01
##  [321] 8.900768e-03 3.135034e-01 7.661381e-02 2.121088e+00 2.698907e+00
##  [326] 2.111793e-02 9.963010e-02 1.069173e+00 9.980467e-02 2.960828e-01
##  [331] 1.190165e+00 2.858086e+00 8.998671e-02 8.525044e-01 6.406363e-02
##  [336] 1.493869e+00 3.977469e-01 5.642498e-02 6.048992e+00 5.325258e-03
##  [341] 1.987374e-03 2.314122e-01 3.901282e+00 5.702031e-03 8.519896e-01
##  [346] 5.642498e-02 2.948812e+00 1.259313e-01 1.987374e-03 1.048187e-01
##  [351] 3.044233e-01 1.987374e-03 6.406363e-02 1.493869e+00 5.779219e-01
##  [356] 4.040988e-01 6.406363e-02 1.493869e+00 9.572230e-01 8.149699e-01
##  [361] 9.572230e-01 8.149699e-01 6.406363e-02 1.493869e+00 7.304502e-02
##  [366] 3.803674e-01 7.661381e-02 2.116482e+00 6.406363e-02 1.493869e+00
##  [371] 9.963010e-02 8.900768e-03 9.572230e-01 8.149699e-01 9.963010e-02
##  [376] 6.031645e-02 8.900768e-03 3.135034e-01 2.932974e-02 7.581900e-01
##  [381] 4.136031e+00 2.245477e-02 1.466247e+00 2.147904e-03 2.361799e+00
##  [386] 2.990882e-02 3.589139e-01 3.373595e-02 1.987374e-03 2.574948e-02
##  [391] 7.951099e-01 1.375343e-01 1.823545e+00 3.964051e+00 1.432155e-01
##  [396] 3.019889e+00 5.291955e-02 2.494942e+00 8.963378e-01 3.589139e-01
##  [401] 3.373595e-02 1.931162e+00 1.680154e-01 7.392406e-01 1.824521e-02
##  [406] 9.572230e-01 3.977469e-01 3.102954e+00 6.420284e-02 1.975387e+00
##  [411] 1.895404e-01 3.135034e-01 7.671644e-01 1.899011e-02 3.135034e-01
##  [416] 8.246250e+00 3.459429e+00 2.236293e-01 9.119037e-01 1.135589e+00
##  [421] 1.781065e+00 1.373889e+00 2.085081e-01 6.406363e-02 1.493869e+00
##  [426] 2.209224e-02 3.028693e-01 4.285519e-01 6.349547e-01 7.639099e-01
##  [431] 8.264288e-01 1.220811e+00 1.048187e-01 2.574948e-02 4.081242e-01
##  [436] 1.595403e+00 6.349547e-01 3.226232e-01 4.040988e-01 1.048187e-01
##  [441] 6.349547e-01 2.111069e+00 4.884158e-01 1.220811e+00 2.314122e-01
##  [446] 2.910890e+00 1.097747e-01 8.760236e-01 2.125699e+00 4.385847e-01
##  [451] 1.948199e-01 8.963378e-01 1.048187e-01 2.574948e-02 1.987374e-03
##  [456] 3.019889e+00 5.291955e-02 7.805817e-01 6.821453e-02 2.236293e-01
##  [461] 6.031645e-02 6.219831e-01 2.314122e-01 9.572230e-01 8.149699e-01
##  [466] 4.774376e-01 2.148831e+00 3.382158e+00 1.350092e-01 1.618506e-01
##  [471] 6.349547e-01 6.094803e-02 1.789521e+00 9.083545e-01 1.046397e-01
##  [476] 9.572230e-01 8.149699e-01 9.963010e-02 2.574948e-02 3.114281e-01
##  [481] 1.185476e+00 4.597553e-01 1.698757e-02 9.963010e-02 6.349547e-01
##  [486] 1.298921e+00 5.291955e-02 3.249176e-03 6.603943e-01 7.392406e-01
##  [491] 1.824521e-02 7.671644e-01 1.421299e+00 3.135034e-01 5.152746e-01
##  [496] 5.216995e-01 3.593018e-02 9.119037e-01 1.238971e+00 4.491074e-01
##  [501] 2.834379e-02 6.349547e-01 1.421299e+00 8.998671e-02 8.819535e-01
##  [506] 1.104867e+00 1.057237e-02 1.987374e-03 2.314122e-01 7.661381e-02
##  [511] 2.116482e+00 6.406363e-02 1.493869e+00 6.406363e-02 1.493869e+00
##  [516] 8.675312e+00 2.089740e-01 5.353938e+00 2.383672e-02 9.572230e-01
##  [521] 8.149699e-01 7.392406e-01 1.824521e-02 2.937952e+00 1.458595e+00
##  [526] 2.359368e+00 2.563181e-01 2.574948e-02 2.834379e-02 9.572230e-01
##  [531] 8.121177e-01 1.459999e+01 7.558177e+00 1.186108e+00 8.551426e-02
##  [536] 9.980467e-02 2.960828e-01 7.505528e+00 2.992223e-01 2.494942e+00
##  [541] 6.219831e-01 5.291955e-02 8.819535e-01 3.202968e-01 1.120489e-01
##  [546] 1.517442e-02 1.310399e+00 6.031645e-02 4.081242e-01 1.906303e-02
##  [551] 5.807518e-01 4.276392e-02 1.186716e+00 6.728446e-01 4.631855e-03
##  [556] 2.834379e-02 1.618506e-01 1.059117e-01 1.266864e-01 7.558177e+00
##  [561] 4.632736e+00 1.060816e+00 1.551848e+00 6.349547e-01 6.349547e-01
##  [566] 3.044233e-01 1.618506e-01 2.043462e+00 2.421391e+00 5.620864e+00
##  [571] 3.019889e+00 1.401842e+00 9.963010e-02 6.349547e-01 1.238971e+00
##  [576] 7.392406e-01 1.824521e-02 6.031645e-02 6.349547e-01 5.420061e+00
##  [581] 5.779219e-01 2.020113e+00 3.977469e-01 3.044233e-01 1.253096e+00
##  [586] 1.298921e+00 5.291955e-02 4.081242e-01 7.671644e-01 7.566359e+00
##  [591] 2.111793e-02 8.287982e-01 7.068169e-02 1.576183e+00 2.181426e+00
##  [596] 1.298921e+00 5.291955e-02 6.219831e-01 1.987374e-03 2.088949e+00
##  [601] 2.520885e+00 1.759273e+00 8.374574e-01 3.402492e-01 1.261279e-01
##  [606] 6.728446e-01 4.631855e-03 2.520885e+00 2.131040e+00 2.402447e+00
##  [611] 4.188832e+00 6.031645e-02 2.314122e-01 1.987374e-03 2.834379e-02
##  [616] 3.977469e-01 5.642498e-02 4.220139e+00 3.977469e-01 9.572230e-01
##  [621] 3.977469e-01 3.771970e+00 3.771970e+00 2.284623e+00 8.279150e-02
##  [626] 9.119037e-01 1.238971e+00 9.572230e-01 8.149699e-01 9.572230e-01
##  [631] 8.149699e-01 3.964051e+00 1.432155e-01 7.661381e-02 2.121088e+00
##  [636] 7.316600e-03 1.088887e+00 5.620864e+00 5.036002e-01 3.977469e-01
##  [641] 4.601332e-01 5.152746e-01 1.421299e+00 2.834379e-02 6.863350e-01
##  [646] 7.392406e-01 1.824521e-02 1.851097e+00 2.294708e-02 3.135034e-01
##  [651] 1.069173e+00 8.900768e-03 2.314122e-01 2.261350e-01 1.444021e+00
##  [656] 1.896533e-02 9.716859e-01 2.465518e-01 1.375343e-01 5.620864e+00
##  [661] 3.019889e+00 2.910890e+00 1.097747e-01 3.933711e+00 6.219831e-01
##  [666] 1.987374e-03 1.413102e+00 5.588603e-01 7.666760e-01 1.206127e-01
##  [671] 4.302567e-01 1.543453e-01 2.284623e+00 8.279150e-02 1.006980e-01
##  [676] 8.525044e-01 2.855735e-01 4.326976e-01 3.901282e+00 2.135747e-01
##  [681] 6.406363e-02 1.493869e+00 1.645751e+00 3.881976e-01 5.620864e+00
##  [686] 1.048187e-01 9.113712e-01 5.084923e-01 1.857958e-02 1.043168e+00
##  [691] 6.048992e+00 5.325258e-03 2.296317e-01 3.487453e-02 2.948812e+00
##  [696] 1.259313e-01 1.052066e-02 6.249192e-01 6.659482e-02 5.569160e-01
##  [701] 5.152746e-01 1.069173e+00 1.220811e+00 2.574948e-02 4.081242e-01
##  [706] 7.671644e-01 7.561265e-01 2.144195e+00 4.081242e-01 1.036717e+00
##  [711] 1.618506e-01 9.889720e-01 3.044233e-01 1.253096e+00 3.901282e+00
##  [716] 9.963010e-02 7.489386e-02 1.102130e+00 1.097747e-01 8.235566e-01
##  [721] 1.099885e+00 1.780664e-01 9.821384e-01 1.734470e-01 7.528957e-01
##  [726] 6.406363e-02 1.662027e+00 3.800240e-01 2.574948e-02 2.314122e-01
##  [731] 1.052066e-02 6.249192e-01 3.409863e+00 1.233547e-01 1.940565e-02
##  [736] 3.082246e-01 1.413102e+00 5.588603e-01 4.101444e-01 1.989539e+00
##  [741] 3.088221e-02 1.421299e+00 6.406363e-02 1.493869e+00 3.656107e-02
##  [746] 7.536541e-01 1.987374e-03 4.081242e-01 1.684539e+00 7.404140e-02
##  [751] 1.277410e+00 1.719922e+00 1.983115e-01 3.980983e-01 3.977469e-01
##  [756] 2.574948e-02 1.085008e+00 2.872621e-01 6.406363e-02 5.382083e-01
##  [761] 3.044233e-01 1.253096e+00 1.595403e+00 5.262744e-01 2.872621e-01
##  [766] 1.881717e-01 6.094803e-02 1.789521e+00 3.220856e-01 1.176400e+00
##  [771] 6.031645e-02 1.152506e+00 2.359368e+00 2.574948e-02 8.998671e-02
##  [776] 5.039957e-01 5.216995e-01 3.593018e-02 4.389537e-01 1.281587e+00
##  [781] 1.401842e+00 6.406363e-02 7.646134e-02 4.818139e-01 2.574948e-02
##  [786] 4.081242e-01 2.314122e-01 5.152746e-01 4.081242e-01 9.889720e-01
##  [791] 2.043462e+00 2.275909e+00 8.900768e-03 3.135034e-01 1.401842e+00
##  [796] 6.406363e-02 6.031645e-02 6.349547e-01 5.152746e-01 7.671644e-01
##  [801] 4.881445e+00 1.026512e+00 7.646134e-02 4.818139e-01 1.220811e+00
##  [806] 6.515719e-03 1.261279e-01 1.186716e+00 7.805817e-01 6.821453e-02
##  [811] 1.210213e+01 6.219831e-01 1.553649e-01 2.574948e-02 2.020113e+00
##  [816] 6.349547e-01 2.236293e-01 2.574948e-02 1.517442e-02 1.375343e-01
##  [821] 2.460073e+00 2.200965e-03 1.298921e+00 5.291955e-02 3.977469e-01
##  [826] 2.574948e-02 2.400868e+00 6.731670e-03 1.016189e-01 1.105453e+00
##  [831] 6.349547e-01 1.421299e+00 6.406363e-02 9.119037e-01 2.574948e-02
##  [836] 7.922928e-01 1.462418e+00 2.783214e-02 2.376412e+00 1.340598e-01
##  [841] 1.298921e+00 5.291955e-02 3.019889e+00 5.291955e-02 1.298921e+00
##  [846] 5.291955e-02 1.023041e-02 1.747606e-01 6.219831e-01 8.011385e-02
##  [851] 6.237286e+00 4.057541e-01 7.603610e-03 5.291955e-02 2.574948e-02
##  [856] 1.421299e+00 1.036149e+00 8.011385e-02 3.881976e-01 5.382083e-01
##  [861] 3.019889e+00 5.291955e-02 1.069173e+00 1.421299e+00 2.273714e-01
##  [866] 2.627451e-01 9.821384e-01 3.764823e-01 1.511034e-02 8.100139e-02
##  [871] 1.069173e+00 1.421299e+00 7.974236e-01 2.423263e+00 1.097747e-01
##  [876] 2.730313e-03 1.349890e+00 3.135034e-01 6.406363e-02 1.493869e+00
##  [881] 2.834379e-02 4.081242e-01 9.588363e-02 1.509378e+00 8.416202e+00
##  [886] 1.178700e-02 2.236293e-01 2.595216e-01 1.042462e+01 1.284539e+00
##  [891] 6.406363e-02 1.497739e+00 1.204706e-02 4.470483e-02 2.367682e-03
##  [896] 1.810748e+00 3.402492e-01 2.236293e-01 2.369656e-01 1.601148e+00
##  [901] 5.152746e-01 1.739086e+00 5.855791e-01 7.735475e-01 3.220856e-01
##  [906] 1.176400e+00 7.661381e-02 2.116482e+00 9.864321e-02 4.997870e-02
##  [911] 6.048992e+00 1.259313e-01 5.152746e-01 1.421299e+00 3.281558e+00
##  [916] 3.877191e+00 2.272211e-01 2.289922e-01 9.572230e-01 8.121177e-01
##  [921] 3.901282e+00 9.963010e-02 2.468281e-01 1.560334e+00 2.969419e-01
##  [926] 1.633500e+00 1.405591e+00 2.391936e-02 2.960828e-01 9.119037e-01
##  [931] 9.572230e-01 8.149699e-01 2.089740e-01 1.178700e-02 2.535093e+00
##  [936] 7.389158e-02 1.178700e-02 1.383831e+00 1.595403e+00 2.236293e-01
##  [941] 1.157599e-02 2.437048e-01 1.987374e-03 1.048187e-01 2.371536e+00
##  [946] 1.226097e-01 7.603610e-03 1.618506e-01 1.553649e-01 6.994933e-01
##  [951] 1.220811e+00 3.044233e-01 6.349547e-01 1.421299e+00 5.852091e+00
##  [956] 6.819514e-01 4.181091e+00 6.637991e-01 1.669545e-01 5.779219e-01
##  [961] 4.040988e-01 9.572230e-01 8.121177e-01 8.900768e-03 4.081242e-01
##  [966] 9.270668e-01 1.823545e+00 7.954347e+00 7.694472e-01 3.009509e-01
##  [971] 3.593018e-02 1.069173e+00 1.962848e+00 4.009794e+00 3.912207e+00
##  [976] 2.960828e-01 1.517162e+00 1.052310e+00 9.815164e-02 1.401842e+00
##  [981] 2.236293e-01 4.018641e-03 4.562412e-01 1.413102e+00 5.588603e-01
##  [986] 2.574948e-02 5.291955e-02 7.419616e-01 1.434255e-01 8.963378e-01
##  [991] 3.135034e-01 1.020676e+00 3.026363e+00 3.019889e+00 5.291955e-02
##  [996] 8.070837e+00 4.459585e-01 4.220139e+00 2.574948e-02 4.774376e-01
## [1001] 7.127770e-01 1.553649e-01 1.987374e-03 8.900768e-03 2.314122e-01
## [1006] 9.733077e-01 2.043462e+00 1.881717e-01 8.066272e-01 3.964051e+00
## [1011] 1.432155e-01 3.202968e-01 1.120489e-01 1.306323e+00 1.292979e-01
## [1016] 2.261350e-01 1.444021e+00 7.694472e-01 4.995193e-01 3.215461e+00
## [1021] 3.851022e-01 4.385847e-01 1.747606e-01 1.595403e+00 1.747606e-01
## [1026] 2.745781e-03 1.152506e+00 3.009509e-01 3.593018e-02 6.396404e+00
## [1031] 7.805817e-01 1.232340e+01 1.327926e+00 1.459999e+01 7.558177e+00
## [1036] 7.671644e-01 1.238971e+00 9.491591e-02 4.081242e-01 2.745781e-03
## [1041] 1.152506e+00 7.661381e-02 2.116482e+00 1.738350e+00 6.515719e-03
## [1046] 5.620864e+00 1.048187e-01 4.278144e+00 3.450352e-01 6.010127e+00
## [1051] 4.797688e-03 1.281587e+00 2.826073e+00 6.406363e-02 1.493869e+00
## [1056] 1.987374e-03 1.238971e+00 1.987374e-03 1.238971e+00 9.963010e-02
## [1061] 2.314122e-01 4.081242e-01 9.119037e-01 6.937505e-01 5.312755e-01
## [1066] 3.740429e+00 2.783214e-02 5.477993e-03 5.616431e-01 1.349890e+00
## [1071] 3.135034e-01 1.212703e+00 2.599372e+00 1.049639e+00 2.181426e+00
## [1076] 4.057541e-01 3.687723e-01 2.369656e-01 1.601148e+00 5.982996e+00
## [1081] 2.574948e-02 6.636609e-01 2.127499e+00 3.962930e-02 1.052882e+00
## [1086] 6.166337e+00 1.111527e+00 4.768077e-03 4.752570e-01 2.494942e+00
## [1091] 1.618506e-01 4.220139e+00 2.236293e-01 2.574948e-02 1.048187e-01
## [1096] 2.236293e-01 3.651612e-02 3.044233e-01 1.253096e+00 5.379775e-02
## [1101] 8.817055e-02 1.428853e+00 1.883859e+00 3.656107e-02 7.536541e-01
## [1106] 4.980076e+00 3.927276e+00 4.220139e+00 2.574948e-02 9.963010e-02
## [1111] 2.834379e-02 4.276392e-02 1.186716e+00 2.688103e+00 1.948936e-02
## [1116] 3.014392e+00 3.261743e-02 7.051202e+00 4.341489e+00 5.107806e+00
## [1121] 3.044233e-01 2.236293e-01 9.119037e-01 5.642498e-02 3.047304e-01
## [1126] 4.081242e-01 1.616157e+00 1.906303e-02 5.855791e-01 2.075880e-02
## [1131] 2.106720e-01 2.020113e+00 9.963010e-02 1.298921e+00 5.291955e-02
## [1136] 2.275909e+00 2.571384e+00 6.031645e-02 4.081242e-01 6.219831e-01
## [1141] 2.236293e-01 3.189392e+01 1.692138e+01 8.084450e-02 1.048187e-01
## [1146] 5.152746e-01 1.616157e+00 5.152746e-01 6.349547e-01 2.157299e+00
## [1151] 2.730313e-03 7.646134e-02 4.818139e-01 4.341489e+00 3.029909e-01
## [1156] 1.249558e+00 4.331405e+00 2.299128e-02 1.327097e-01 1.007934e+00
## [1161] 2.948812e+00 6.985429e-02 2.314122e-01 1.069173e+00 1.413102e+00
## [1166] 5.588603e-01 1.335840e-02 1.618506e-01 8.374574e-01 6.821453e-02
## [1171] 2.834379e-02 1.823545e+00 2.948812e+00 2.574948e-02 2.948812e+00
## [1176] 3.627070e-01 3.726656e+00 3.726656e+00 4.081242e-01 1.482291e+00
## [1181] 2.774385e-01 2.774385e-01 1.048187e-01 7.074485e-01 5.546066e+00
## [1186] 3.402492e-01 7.392406e-01 1.781065e+00 3.977469e-01 2.834379e-02
## [1191] 1.016189e-01 1.105453e+00 1.048187e-01 5.960257e-01 1.811671e-01
## [1196] 2.627451e-01 1.780320e+00 1.375343e-01 4.402182e+01 4.721918e+00
## [1201] 8.084450e-02 7.603610e-03 2.834379e-02 1.595403e+00 2.236293e-01
## [1206] 3.853560e-03 5.291955e-02 7.974236e-01 2.423263e+00 2.698907e+00
## [1211] 6.219831e-01 1.036149e+00 6.420284e-02 5.291955e-02 5.382083e-01
## [1216] 4.081242e-01 9.119037e-01 8.900768e-03 3.135034e-01 1.517442e-02
## [1221] 2.791633e-01 1.085008e+00 2.872621e-01 7.566359e+00 2.111793e-02
## [1226] 1.048187e-01 4.081242e-01 4.106336e+00 3.737436e+00 1.210213e+01
## [1231] 6.219831e-01 3.920061e+00 2.788695e-01 1.595403e+00 5.262744e-01
## [1236] 2.647164e+00 1.208567e-01 1.759273e+00 1.948199e-01 4.928751e-02
## [1241] 1.048187e-01 4.236447e-01 1.686331e+00 2.402447e+00 2.618975e+00
## [1246] 1.210962e+00 2.333560e+00 2.959692e+00 1.690491e-01 4.009794e+00
## [1251] 3.912207e+00 2.314122e-01 4.081242e-01 6.316594e+00 1.906303e-02
## [1256] 6.637991e-01 1.669545e-01 1.823545e+00 2.043462e+00 8.460166e-02
## [1261] 1.681158e+00 8.900768e-03 4.081242e-01 2.574948e-02 2.834379e-02
## [1266] 9.889720e-01 1.931937e+00 1.906303e-02 1.261279e-01 2.574948e-02
## [1271] 1.048187e-01 7.603610e-03 3.097722e-02 6.937505e-01 5.312755e-01
## [1276] 1.256015e+00 1.152227e-01 2.965139e+00 3.516230e-02 2.314122e-01
## [1281] 6.349547e-01 7.603610e-03 1.048187e-01 2.361799e+00 2.990882e-02
## [1286] 1.052310e+00 2.665154e-01 2.400868e+00 6.731670e-03 8.087690e-01
## [1291] 2.345282e-02 9.119037e-01 2.275909e+00 2.361799e+00 2.990882e-02
## [1296] 3.273477e+00 5.620864e+00 6.349547e-01 5.620864e+00 6.349547e-01
## [1301] 2.841865e-01 8.121177e-01 1.238971e+00 2.520885e+00 2.089740e-01
## [1306] 1.743971e-01 5.036002e-01 1.258687e-02 2.236293e-01 3.651612e-02
## [1311] 5.973042e-01 5.438420e-01 9.119037e-01 1.616157e+00 7.566359e+00
## [1316] 2.111793e-02 1.291720e+00 2.111793e-02 1.553649e-01 1.987374e-03
## [1321] 2.520885e+00 1.959809e+00 4.081242e-01 1.421299e+00 2.854464e+00
## [1326] 3.215869e+00 1.220811e+00 1.238971e+00 7.646134e-02 4.818139e-01
## [1331] 1.987374e-03 1.048187e-01 1.987374e-03 1.048187e-01 1.434255e-01
## [1336] 1.310399e+00 3.202968e-01 1.120489e-01 2.494942e+00 1.291720e+00
## [1341] 8.900768e-03 2.314122e-01 1.987374e-03 2.314122e-01 7.392406e-01
## [1346] 1.824521e-02 5.397975e+00 3.962930e-02 3.742105e-03 4.862102e-01
## [1351] 2.361799e+00 2.990882e-02 5.687719e+00 4.341730e+00 9.251851e-02
## [1356] 1.250149e-01 2.960828e-01 9.119037e-01 1.492276e-01 3.498481e-01
## [1361] 2.204859e+00 3.215869e+00 1.477763e+00 3.044233e-01 1.595403e+00
## [1366] 2.574948e-02 3.044233e-01 1.987374e-03 3.780867e-02 3.941230e-01
## [1371] 3.044233e-01 1.253096e+00 8.519896e-01 5.642498e-02 6.349547e-01
## [1376] 1.421299e+00 3.044233e-01 1.987374e-03 2.757992e+00 3.215869e+00
## [1381] 4.276392e-02 1.186716e+00 1.048187e-01 1.238971e+00 1.595403e+00
## [1386] 5.262744e-01 6.937505e-01 5.312755e-01 1.085008e+00 2.872621e-01
## [1391] 9.626458e-01 1.023041e-02 2.872621e-01 1.881717e-01 3.852323e-01
## [1396] 1.752004e+00 3.977469e-01 3.545133e-02 7.660570e-01 2.070694e+00
## [1401] 5.683986e-01 1.158530e-02 6.237286e+00 1.178700e-02 1.204205e-01
## [1406] 2.834379e-02 4.834320e+00 4.065831e+00 3.044233e-01 1.987374e-03
## [1411] 5.477993e-03 5.616431e-01 2.236293e-01 1.964590e-01 1.238971e+00
## [1416] 1.616157e+00 2.314122e-01 9.119037e-01 1.497056e+00 3.877867e-03
## [1421] 1.987374e-03 2.520885e+00 4.106336e+00 3.737436e+00 1.220811e+00
## [1426] 2.236293e-01 8.246250e+00 3.459429e+00 3.977469e-01 1.048187e-01
## [1431] 2.574948e-02 1.048187e-01 1.987374e-03 2.520885e+00 1.226097e-01
## [1436] 9.299548e-02 2.494942e+00 6.349547e-01 1.948199e-01 5.642498e-02
## [1441] 6.937505e-01 5.312755e-01 7.603610e-03 2.314122e-01 4.220139e+00
## [1446] 6.219831e-01 2.872621e-01 1.881717e-01 6.937505e-01 5.312755e-01
## [1451] 4.106336e+00 3.927276e+00 4.895442e+00 1.338569e-01 1.801493e+00
## [1456] 7.257108e-01 5.620864e+00 1.291720e+00 2.574948e-02 5.291955e-02
## [1461] 7.805817e-01 6.821453e-02 7.603610e-03 5.152746e-01 4.721918e+00
## [1466] 9.727575e-01 3.982849e-01 2.749632e-03 4.315344e+00 1.048187e-01
## [1471] 6.349547e-01 2.494942e+00 1.618506e-01 9.491591e-02 9.733077e-01
## [1476] 1.238971e+00 2.520885e+00 5.731264e-01 8.551426e-02 1.618506e-01
## [1481] 3.135034e-01 2.872621e-01 1.881717e-01 8.900768e-03 1.048187e-01
## [1486] 1.066787e-01 3.332449e-01 2.872621e-01 1.881717e-01 4.220139e+00
## [1491] 6.219831e-01 3.044233e-01 1.204009e+00 1.220811e+00 1.238971e+00
## [1496] 3.044233e-01 1.881717e-01 1.238971e+00 1.421299e+00 1.987374e-03
## [1501] 1.048187e-01 2.372396e+00 2.622384e+00 7.866702e+01 4.106336e+00
## [1506] 1.987374e-03 1.618506e-01 1.987374e-03 1.048187e-01 4.009794e+00
## [1511] 3.912207e+00 3.977469e-01 9.963010e-02 1.618506e-01 3.135034e-01
## [1516] 1.048187e-01 5.960257e-01 1.987374e-03 3.135034e-01 2.872621e-01
## [1521] 1.881717e-01 4.814272e-01 1.553649e-01 3.044233e-01 2.574948e-02
## [1526] 3.044233e-01 2.520885e+00 1.238971e+00 1.616157e+00 2.698907e+00
## [1531] 6.219831e-01 9.572846e-02 2.314122e-01 2.574948e-02 1.048187e-01
## [1536] 1.159150e+00 2.023725e-01 1.298921e+00 5.291955e-02 6.885785e+00
## [1541] 6.728446e-01 1.298921e+00 5.291955e-02 3.927832e-01 2.435025e-01
## [1546] 3.651612e-02 1.048187e-01 1.016189e-01 1.105453e+00 6.937505e-01
## [1551] 5.312755e-01 2.542355e+00 7.616455e-01 7.603610e-03 1.618506e-01
## [1556] 6.031645e-02 3.314252e-01 1.159150e+00 2.023725e-01 2.020113e+00
## [1561] 4.393838e-02 2.954249e+00 6.021999e-01 1.072687e+00 2.279603e-02
## [1566] 7.603610e-03 1.618506e-01 9.963010e-02 6.349547e-01 1.759273e+00
## [1571] 8.374574e-01 6.990271e-01 7.661381e-02 3.740429e+00 2.783214e-02
## [1576] 4.351191e+00 8.374574e-01 7.973954e-01 2.423263e+00 9.265298e-01
## [1581] 3.044233e-01 2.499714e-01 1.421299e+00 2.268196e-02 1.038059e-01
## [1586] 3.130893e+00 2.251263e+00 3.977469e-01 1.987374e-03 7.588885e-01
## [1591] 4.774818e-02 3.044233e-01 7.782824e-01 2.574948e-02 4.709109e-01
## [1596] 3.266744e+00 1.719083e-01 2.574948e-02 4.709109e-01 3.901282e+00
## [1601] 1.553649e-01 1.383831e+00 2.530118e+00 3.004819e+00 1.210962e+00
## [1606] 2.333560e+00 1.987374e-03 1.618506e-01 8.963378e-01 2.236293e-01
## [1611] 8.963378e-01 7.603610e-03 9.474576e-02 3.962930e-02 1.466247e+00
## [1616] 7.404140e-02 4.136031e+00 2.245477e-02 2.236293e-01 2.314122e-01
## [1621] 1.618506e-01 3.135034e-01 5.420061e+00 5.779219e-01 7.392406e-01
## [1626] 3.430273e-02 4.000934e-01 1.697609e+00 3.052980e+00 1.046397e-01
## [1631] 1.877349e+00 2.705026e+00 1.048160e+00 3.374193e-01 7.671644e-01
## [1636] 1.592113e+00 2.114880e-03 1.366615e-01 3.651612e-02 3.881976e-01
## [1641] 4.220139e+00 2.665154e-01 9.821384e-01 1.734470e-01 5.262744e-01
## [1646] 1.666972e-02 3.044233e-01 1.253096e+00 4.597553e-01 4.081242e-01
## [1651] 2.251263e+00 3.044233e-01 5.477993e-03 5.616431e-01 1.238971e+00
## [1656] 1.616157e+00 2.494942e+00 1.401842e+00 9.119037e-01 1.238971e+00
## [1661] 3.804309e+00 3.726656e+00 7.528957e-01 7.646134e-02 6.884939e-01
## [1666] 8.811817e-02 4.928751e-02 1.048187e-01 2.020113e+00 1.220811e+00
## [1671] 8.084450e-02 1.048187e-01 3.202968e-01 1.120489e-01 5.420061e+00
## [1676] 5.779219e-01 3.977469e-01 1.023041e-02 7.528957e-01 2.730313e-03
## [1681] 5.377995e-01 7.047917e-01 3.019889e+00 4.385847e-01 1.085008e+00
## [1686] 2.872621e-01 4.385847e-01 4.928751e-02 1.504809e+00 7.220652e-03
## [1691] 2.574948e-02 2.834379e-02 8.084450e-02 1.048187e-01 4.551526e+00
## [1696] 3.977469e-01 1.626369e+01 3.594955e+00 1.029719e+00 4.389537e-01
## [1701] 8.900768e-03 3.135034e-01 1.048187e-01 3.498481e-01 4.924510e-01
## [1706] 4.030956e-01 5.251888e+00 1.852103e-01 3.737436e+00 3.758348e+00
## [1711] 5.291955e-02 5.382083e-01 1.298921e+00 5.291955e-02 4.385847e-01
## [1716] 4.928751e-02 1.220811e+00 3.402492e-01 1.032266e+01 2.460073e+00
## [1721] 1.069173e+00 1.274435e+00 1.036149e+00 8.011385e-02 9.491591e-02
## [1726] 1.048187e-01 4.768077e-03 4.752570e-01 1.220811e+00 4.265122e-02
## [1731] 8.084450e-02 1.048187e-01 4.622787e-01 5.977351e-01 1.238971e+00
## [1736] 1.616157e+00 1.674152e+00 5.620864e+00 6.349547e-01 1.553649e-01
## [1741] 6.031645e-02 4.928751e-02 1.048187e-01 5.620864e+00 9.265298e-01
## [1746] 3.964051e+00 2.872621e-01 3.135034e-01 4.081242e-01 2.932974e-02
## [1751] 7.581900e-01 7.220347e-02 1.987374e-03 1.178700e-02 7.397201e-01
## [1756] 2.834379e-02 1.618506e-01 8.900768e-03 2.960828e-01 3.088221e-02
## [1761] 2.909543e-01 2.834379e-02 1.618506e-01 1.624381e-01 9.290913e-03
## [1766] 1.401842e+00 6.406363e-02 3.977469e-01 1.987374e-03 1.401842e+00
## [1771] 6.406363e-02 2.242245e-03 1.482286e-01 3.977469e-01 2.730313e-03
## [1776] 6.884939e-01 8.811817e-02 3.977469e-01 1.987374e-03 2.236293e-01
## [1781] 1.618506e-01 3.498481e-01 8.998635e-01 7.338136e-01 3.373595e-02
## [1786] 4.351191e+00 8.374574e-01 3.044233e-01 1.747606e-01 2.020113e+00
## [1791] 1.335840e-02 9.821384e-01 3.764823e-01 2.706021e-01 4.631855e-03
## [1796] 8.998671e-02 8.819535e-01 8.963378e-01 2.574948e-02 1.580158e+00
## [1801] 2.571384e+00 4.597553e-01 1.261279e-01 8.084450e-02 1.048187e-01
## [1806] 5.477993e-03 5.616431e-01 7.974236e-01 2.423263e+00 2.236293e-01
## [1811] 2.574948e-02 2.834379e-02 2.834379e-02 3.901282e+00 2.157299e+00
## [1816] 1.052310e+00 2.574948e-02 1.492276e-01 3.498481e-01 1.618506e-01
## [1821] 1.238971e+00 8.900768e-03 3.135034e-01 3.019889e+00 2.574948e-02
## [1826] 6.728446e-01 2.834379e-02 1.719431e+01 2.494942e+00 2.834379e-02
## [1831] 2.757992e+00 3.004819e+00 7.257108e-01 1.317685e-01 7.645595e-03
## [1836] 4.494808e-01 7.805817e-01 1.566074e-01 1.950652e-01 1.152506e+00
## [1841] 4.000934e-01 1.697609e+00 3.977469e-01 2.574948e-02 7.671644e-01
## [1846] 1.421299e+00 5.291955e-02 5.382083e-01 1.048187e-01 5.152746e-01
## [1851] 5.477993e-03 5.616431e-01 1.118207e+00 4.385847e-01 9.963010e-02
## [1856] 6.349547e-01 9.119037e-01 2.043462e+00 9.999749e+00 8.084450e-02
## [1861] 1.797249e+00 3.405740e-01 1.381048e+01 2.251263e+00 2.751151e+00
## [1866] 2.751151e+00 1.016189e-01 1.105453e+00 1.016189e-01 1.105453e+00
## [1871] 6.858732e-01 1.879309e-01 6.237286e+00 1.178700e-02 1.048187e-01
## [1876] 5.960257e-01 5.620864e+00 1.987374e-03 1.298921e+00 5.291955e-02
## [1881] 8.900768e-03 1.048187e-01 7.603610e-03 1.048187e-01 2.020113e+00
## [1886] 2.236293e-01 1.016189e-01 1.105453e+00 8.963378e-01 5.642498e-02
## [1891] 5.620864e+00 1.987374e-03 5.620864e+00 1.987374e-03 9.821384e-01
## [1896] 3.764823e-01 1.007375e+00 5.569160e-01 1.595403e+00 3.853560e-03
## [1901] 6.237286e+00 4.057541e-01 7.257108e-01 1.317685e-01 2.494942e+00
## [1906] 1.618506e-01 1.381048e+01 6.396404e+00 2.314122e-01 9.733077e-01
## [1911] 1.698757e-02 4.494808e-01 1.381048e+01 6.396404e+00 2.361799e+00
## [1916] 2.990882e-02 2.020113e+00 2.236293e-01 1.048187e-01 5.960257e-01
## [1921] 8.963378e-01 5.642498e-02 1.016189e-01 1.105453e+00 1.298921e+00
## [1926] 5.291955e-02 8.998671e-02 8.819535e-01 6.031645e-02 4.081242e-01
## [1931] 8.242077e+00 5.383509e+00 7.866702e+01 3.804486e+00 1.987374e-03
## [1936] 1.048187e-01 1.261279e-01 1.186716e+00 6.080173e+00 7.257108e-01
## [1941] 3.202968e-01 1.120489e-01 7.392406e-01 1.824521e-02 1.807470e+00
## [1946] 4.385435e+00 7.866702e+01 3.804309e+00 3.594955e+00 6.219831e-01
## [1951] 7.392406e-01 1.824521e-02 4.980076e+00 3.927276e+00 3.703533e-01
## [1956] 3.774517e-01 1.595403e+00 2.574948e-02 2.361799e+00 2.990882e-02
## [1961] 1.102588e+01 2.020113e+00 1.141598e-01 3.803674e-01 6.031645e-02
## [1966] 4.081242e-01 1.036149e+00 8.011385e-02 2.314122e-01 6.349547e-01
## [1971] 2.153629e+00 1.000758e-01 1.401842e+00 1.553649e-01 2.236293e-01
## [1976] 3.651612e-02 1.553649e-01 9.119037e-01 1.157599e-02 2.437048e-01
## [1981] 2.251263e+00 3.044233e-01 1.036149e+00 8.011385e-02 7.138392e-03
## [1986] 1.372689e+00 2.032522e-01 9.546760e-01 2.400868e+00 6.731670e-03
## [1991] 7.973954e-01 2.423263e+00 8.186099e-01 2.281236e-01 6.219831e-01
## [1996] 2.834379e-02 7.528957e-01 7.646134e-02 2.834379e-02 4.081242e-01
## [2001] 1.518229e+00 5.803271e-01 1.987374e-03 2.834379e-02 6.349547e-01
## [2006] 1.421299e+00 2.757992e+00 3.215869e+00 6.349547e-01 1.421299e+00
## [2011] 1.742146e+00 3.138501e+00 2.834379e-02 6.349547e-01 1.618506e-01
## [2016] 2.314122e-01 1.375343e-01 6.603943e-01 1.048187e-01 2.314122e-01
## [2021] 4.924510e-01 8.261159e-02 6.031645e-02 9.119037e-01 1.349964e+00
## [2026] 1.335042e-02 2.236293e-01 2.834379e-02 2.236293e-01 3.651612e-02
## [2031] 7.427752e+00 4.509425e+00 2.261350e-01 1.444021e+00 3.044233e-01
## [2036] 1.881717e-01 2.834379e-02 9.119037e-01 1.036149e+00 8.011385e-02
## [2041] 5.477993e-03 5.616431e-01 9.119037e-01 1.238971e+00 2.834379e-02
## [2046] 6.349547e-01 9.963010e-02 6.349547e-01 3.135034e-01 5.152746e-01
## [2051] 5.331988e+00 1.028124e-02 1.220811e+00 3.402492e-01 2.531347e-01
## [2056] 7.181255e-01 6.349547e-01 2.757992e+00 1.906303e-02 1.261279e-01
## [2061] 6.476118e-01 2.357795e+00 8.963378e-01 5.642498e-02 1.204205e-01
## [2066] 1.618506e-01 2.494942e+00 3.977469e-01 2.251263e+00 2.251263e+00
## [2071] 1.797249e+00 1.681158e+00 7.603610e-03 3.373595e-02 1.906303e-02
## [2076] 1.261279e-01 1.204205e-01 1.618506e-01 1.261279e-01 1.186716e+00
## [2081] 7.646134e-02 4.818139e-01 1.987374e-03 6.349547e-01 3.044051e-02
## [2086] 1.046401e+00 6.349547e-01 1.517442e-02 7.671644e-01 8.900768e-03
## [2091] 1.048187e-01 8.097839e+00 3.589139e-01 1.931162e+00 1.023041e-02
## [2096] 8.900768e-03 4.928422e-01 1.459999e+01 7.558177e+00 5.420061e+00
## [2101] 5.779219e-01 3.541147e+00 9.204279e-02 1.220811e+00 1.987374e-03
## [2106] 4.106336e+00 3.804309e+00 2.646649e+00 3.752373e-02 3.019889e+00
## [2111] 1.801493e+00 7.392406e-01 1.824521e-02 3.977469e-01 8.900768e-03
## [2116] 9.821384e-01 3.764823e-01 1.553649e-01 1.048187e-01 4.929168e-01
## [2121] 1.790025e-01 6.219831e-01 9.963010e-02 4.336823e-01 6.630540e-02
## [2126] 1.931162e+00 1.023041e-02 5.924285e-01 8.908859e-01 7.138392e-03
## [2131] 1.372689e+00 1.048187e-01 3.135034e-01 4.081242e-01 1.616157e+00
## [2136] 3.056439e+00 5.620864e+00 6.219831e-01 7.603610e-03 6.031645e-02
## [2141] 3.047304e-01 1.478441e+00 2.089740e-01 4.285519e-01 2.236293e-01
## [2146] 2.834379e-02 1.256015e+00 2.236293e-01 1.298921e+00 5.291955e-02
## [2151] 3.901282e+00 9.963010e-02 1.730017e+00 8.854364e-03 1.298921e+00
## [2156] 5.291955e-02 4.597553e-01 4.081242e-01 6.080173e+00 2.236293e-01
## [2161] 9.821384e-01 3.117388e-01 1.931162e+00 1.680154e-01 2.708916e-01
## [2166] 1.013658e+00 7.220347e-02 1.987374e-03 9.119037e-01 1.616157e+00
## [2171] 9.821384e-01 3.764823e-01 6.080173e+00 7.257108e-01 6.031645e-02
## [2176] 4.081242e-01 5.642498e-02 2.909543e-01 6.219831e-01 1.553649e-01
## [2181] 3.044233e-01 1.253096e+00 2.313571e-01 4.429813e-01 6.219831e-01
## [2186] 1.987374e-03 8.505307e-01 2.421346e-03 7.566359e+00 2.111793e-02
## [2191] 7.603610e-03 6.031645e-02 1.337056e+00 1.104065e-02 1.220811e+00
## [2196] 2.574948e-02 8.084450e-02 1.048187e-01 2.251263e+00 3.044233e-01
## [2201] 4.928751e-02 1.048187e-01 1.718285e+00 2.699824e+00 3.594955e+00
## [2206] 1.684539e+00 3.004819e+00 5.152746e-01 1.310399e+00 3.047304e-01
## [2211] 1.478441e+00 1.210213e+01 1.220811e+00 7.603610e-03 1.048187e-01
## [2216] 1.976107e-01 3.135034e-01 2.494942e+00 1.618506e-01 7.257108e-01
## [2221] 1.987374e-03 4.081242e-01 7.671644e-01 1.517442e-02 7.671644e-01
## [2226] 2.494942e+00 1.618506e-01 4.220139e+00 2.020113e+00 4.000934e-01
## [2231] 1.697609e+00 1.085008e+00 2.872621e-01 4.385847e-01 4.928751e-02
## [2236] 1.220811e+00 2.574948e-02 1.401842e+00 1.142147e-02 5.420061e+00
## [2241] 5.779219e-01 4.385847e-01 4.928751e-02 8.084450e-02 3.687723e-01
## [2246] 7.392406e-01 1.824521e-02 2.669352e+00 9.815116e-01 3.977469e-01
## [2251] 2.730313e-03 3.347323e+00 6.018165e-02 4.597553e-01 6.821453e-02
## [2256] 2.236293e-01 1.987374e-03 2.212009e-01 1.520711e+00 2.236293e-01
## [2261] 2.964485e-02 1.298921e+00 5.291955e-02 2.698907e+00 6.219831e-01
## [2266] 3.019889e+00 4.385847e-01 3.733698e+00 9.353467e-02 5.036002e-01
## [2271] 7.392406e-01 1.824521e-02 4.451972e+00 2.465518e-01 3.649474e-01
## [2276] 7.392406e-01 1.824521e-02 2.236293e-01 3.651612e-02 1.987374e-03
## [2281] 6.349547e-01 2.519999e+00 6.888739e-02 2.371536e+00 1.226097e-01
## [2286] 2.371536e+00 1.226097e-01 1.338520e+00 9.194779e-02 6.184654e+00
## [2291] 3.330992e+00 2.530118e+00 1.462418e+00 2.783214e-02 7.392406e-01
## [2296] 1.824521e-02 1.220811e+00 2.834379e-02 7.419616e-01 1.434255e-01
## [2301] 5.320580e-02 1.577773e+00 1.179021e-01 1.028681e+00 6.358656e+00
## [2306] 4.980076e+00 9.491591e-02 9.733077e-01 3.061670e-01 7.404140e-02
## [2311] 2.236293e-01 1.987374e-03 9.119037e-01 1.421299e+00 1.048187e-01
## [2316] 4.106336e+00 3.804309e+00 3.047304e-01 1.478441e+00 1.618506e-01
## [2321] 1.069173e+00 1.238971e+00 1.616157e+00 3.019889e+00 2.574948e-02
## [2326] 5.152746e-01 1.238971e+00 1.987374e-03 7.671644e-01 7.460524e-01
## [2331] 4.684976e-03 1.987374e-03 2.314122e-01 1.987374e-03 4.081242e-01
## [2336] 6.219831e-01 2.345282e-02 1.595403e+00 1.553649e-01 1.987374e-03
## [2341] 2.314122e-01 8.262380e-01 1.275151e-01 1.553649e-01 6.031645e-02
## [2346] 6.349547e-01 1.421299e+00 9.963010e-02 1.028124e-02 7.392406e-01
## [2351] 1.824521e-02 2.770081e+00 9.821384e-01 9.963010e-02 6.349547e-01
## [2356] 4.840095e-01 1.176400e+00 1.048187e-01 1.650976e+00 6.191602e-01
## [2361] 1.221253e+00 5.628747e+00 2.143713e-03 1.138367e+00 8.900768e-03
## [2366] 4.341489e+00 3.737436e+00 1.152227e-01 4.081242e-01 3.044233e-01
## [2371] 2.520885e+00 8.963378e-01 4.494808e-01 1.238971e+00 2.066143e+00
## [2376] 2.494942e+00 1.361665e-01 1.052310e+00 3.853560e-03 2.252618e+01
## [2381] 1.063034e+01 5.152746e-01 1.421299e+00 2.043462e+00 2.323902e+00
## [2386] 6.728446e-01 8.551426e-02 3.202968e-01 1.120489e-01 7.392406e-01
## [2391] 1.824521e-02 4.106336e+00 3.804309e+00 6.885785e+00 6.728446e-01
## [2396] 4.395094e+00 8.097839e+00 3.589139e-01 2.834379e-02 4.081242e-01
## [2401] 3.977469e-01 9.963010e-02 2.236293e-01 3.651612e-02 1.987374e-03
## [2406] 1.618506e-01 2.834379e-02 5.152746e-01 9.119037e-01 1.497739e+00
## [2411] 8.900768e-03 3.135034e-01 8.900768e-03 1.048187e-01 7.392406e-01
## [2416] 1.824521e-02 1.987374e-03 6.031645e-02 2.371536e+00 1.226097e-01
## [2421] 8.052860e+00 3.570990e+00 1.401842e+00 1.142147e-02 3.977469e-01
## [2426] 9.963010e-02 3.202968e-01 1.120489e-01 1.238971e+00 1.616157e+00
## [2431] 7.392406e-01 3.430273e-02 7.392406e-01 1.824521e-02 3.047304e-01
## [2436] 1.478441e+00 6.515719e-03 7.127770e-01 4.471033e-03 8.908859e-01
## [2441] 2.857143e+00 5.494498e-01 2.834379e-02 2.314122e-01 1.069173e+00
## [2446] 1.274435e+00 7.973954e-01 2.423263e+00 7.603610e-03 1.075724e+00
## [2451] 2.519999e+00 6.888739e-02 8.982071e+00 5.383509e+00 1.492276e-01
## [2456] 3.498481e-01 6.031645e-02 9.119037e-01 3.189392e+01 1.692138e+01
## [2461] 6.031645e-02 9.119037e-01 2.565297e+00 3.485114e+00 3.019889e+00
## [2466] 1.401842e+00 1.462418e+00 2.783214e-02 7.419616e-01 1.434255e-01
## [2471] 9.023735e+00 9.572230e-01 1.007375e+00 1.744744e-02 4.768077e-03
## [2476] 4.752570e-01 6.316594e+00 1.906303e-02 1.618506e-01 1.069173e+00
## [2481] 1.462418e+00 2.783214e-02 5.852091e+00 6.819514e-01 1.517442e-02
## [2486] 7.671644e-01 3.044233e-01 1.253096e+00 8.345660e-01 1.857958e-02
## [2491] 5.852091e+00 6.819514e-01 1.381048e+01 6.219831e-01 2.079007e+00
## [2496] 9.556455e-01 3.135034e-01 9.119037e-01 1.226097e-01 9.299548e-02
## [2501] 5.152746e-01 1.616157e+00 2.647164e+00 1.774027e-01 2.020113e+00
## [2506] 1.705608e-02 1.929340e+02 8.097839e+00 7.257108e-01 2.236293e-01
## [2511] 2.574948e-02 4.726983e-01 9.648614e-02 1.420634e+00 3.151895e-02
## [2516] 1.517442e-02 7.671644e-01 7.930526e+00 1.177683e+00 2.536605e+00
## [2521] 1.386266e-02 3.019889e+00 2.574948e-02 7.123063e-01 6.807090e-02
## [2526] 2.236293e-01 3.651612e-02 8.900768e-03 3.135034e-01 2.296317e-01
## [2531] 3.487453e-02 2.883643e-03 9.921199e-01 9.889720e-01 1.931937e+00
## [2536] 1.529243e-02 5.232444e-01 3.047304e-01 1.478441e+00 6.316594e+00
## [2541] 1.906303e-02 3.097722e-02 2.535316e-01 1.136302e-01 6.758986e-01
## [2546] 4.491074e-01 2.834379e-02 3.927276e+00 3.927276e+00 6.860731e-01
## [2551] 1.746396e+00 8.900768e-03 1.048187e-01 7.671644e-01 1.238971e+00
## [2556] 7.392406e-01 1.824521e-02 2.314122e-01 6.349547e-01 3.977469e-01
## [2561] 9.963010e-02 7.603610e-03 1.048187e-01 3.047304e-01 1.478441e+00
## [2566] 7.392406e-01 1.824521e-02 9.963010e-02 2.314122e-01 1.555688e+00
## [2571] 9.491591e-02 5.843036e+00 4.980076e+00 4.385847e-01 4.928751e-02
## [2576] 2.465518e-01 3.649474e-01 1.357252e+00 1.215126e-01 2.954249e+00
## [2581] 6.021999e-01 3.044233e-01 3.249176e-03 4.726983e-01 2.359843e-01
## [2586] 1.648058e-01 4.775495e-02 2.878582e+00 4.705286e-01 1.550011e+00
## [2591] 1.016619e-02 9.963010e-02 2.834379e-02 7.603610e-03 1.618506e-01
## [2596] 9.963010e-02 2.834379e-02 1.999758e-03 2.238922e-01 1.680154e-01
## [2601] 2.730313e-03 6.219831e-01 3.047304e-01 1.478441e+00 8.982071e+00
## [2606] 5.383509e+00 1.401842e+00 1.288239e-01 4.632736e+00 3.927276e+00
## [2611] 4.081242e-01 1.069173e+00 3.724060e+00 3.771970e+00 2.251263e+00
## [2616] 5.034208e-01 2.834379e-02 6.349547e-01 1.013734e+00 2.281236e-01
## [2621] 8.900768e-03 9.119037e-01 1.271543e+01 2.509961e+00 2.519999e+00
## [2626] 6.888739e-02 3.145976e+00 1.627414e+00 4.471033e-03 8.908859e-01
## [2631] 3.044233e-01 8.900768e-03 7.558177e+00 4.980076e+00 5.383509e+00
## [2636] 3.818951e+00 3.135034e-01 9.119037e-01 5.036002e-01 1.478441e+00
## [2641] 7.603610e-03 1.075724e+00 3.044233e-01 8.900768e-03 2.068234e-02
## [2646] 8.189394e-02 2.834379e-02 1.048187e-01 6.349547e-01 4.792015e-02
## [2651] 1.494419e-01 1.401842e+00 3.694053e-01 7.694472e-01 4.995193e-01
## [2656] 3.047304e-01 1.478441e+00 5.382083e-01 9.733077e-01 1.085897e+00
## [2661] 6.093252e-01 2.757992e+00 3.215869e+00 6.348458e+00 2.155853e-02
## [2666] 1.906303e-02 1.261279e-01 1.474108e-01 1.398757e-01 1.462418e+00
## [2671] 2.783214e-02 2.236293e-01 3.651612e-02 3.130893e+00 3.220856e-01
## [2676] 3.044233e-01 1.253096e+00 1.152227e-01 7.671644e-01 1.553649e-01
## [2681] 2.314122e-01 4.980076e+00 3.927276e+00 3.704540e+00 1.048187e-01
## [2686] 5.152746e-01 1.684539e+00 2.468281e-01 3.475932e+00 4.276392e-02
## [2691] 4.288265e-03 5.325662e-01 1.085008e+00 2.872621e-01 3.977469e-01
## [2696] 8.900768e-03 7.603610e-03 6.031645e-02 1.439552e+00 2.574948e-02
## [2701] 1.238971e+00 1.616157e+00 5.924285e-01 1.936765e-01 1.595403e+00
## [2706] 5.262744e-01 2.465518e-01 1.375343e-01 8.963378e-01 2.314122e-01
## [2711] 1.381048e+01 2.251263e+00 1.401842e+00 1.553649e-01 2.187702e+01
## [2716] 1.435687e+01 8.874783e-02 5.080417e-01 8.963378e-01 2.565806e-03
## [2721] 3.877867e-03 3.592476e-01 2.020113e+00 4.393838e-02 6.659482e-02
## [2726] 5.569160e-01 1.823545e+00 2.275909e+00 1.759273e+00 1.680154e-01
## [2731] 5.942029e-02 1.340598e-01 2.296317e-01 3.487453e-02 1.290762e+00
## [2736] 3.532263e+00 3.202968e-01 1.120489e-01 3.047304e-01 1.478441e+00
## [2741] 8.900768e-03 6.031645e-02 1.387025e-01 1.314023e+00 1.069173e+00
## [2746] 1.421299e+00 6.358656e+00 4.980076e+00 8.097839e+00 7.257108e-01
## [2751] 8.998671e-02 3.961081e-01 3.047304e-01 1.478441e+00 8.084450e-02
## [2756] 1.048187e-01 1.420634e+00 3.151895e-02 1.987374e-03 2.834379e-02
## [2761] 1.439552e+00 3.651612e-02 6.219831e-01 1.987374e-03 5.036002e-01
## [2766] 2.574948e-02 5.477993e-03 1.169548e+00 2.574948e-02 8.900768e-03
## [2771] 1.993217e+00 4.736288e-02 8.052860e+00 3.570990e+00 2.314122e-01
## [2776] 6.349547e-01 7.392406e-01 1.824521e-02 1.595403e+00 2.236293e-01
## [2781] 4.928751e-02 1.048187e-01 8.998671e-02 8.819535e-01 7.505528e+00
## [2786] 2.992223e-01 8.900768e-03 1.048187e-01 9.963010e-02 2.314122e-01
## [2791] 8.963378e-01 5.291955e-02 1.123891e-01 3.359839e-01 5.291955e-02
## [2796] 5.382083e-01 5.036002e-01 1.906303e-02 3.202968e-01 1.120489e-01
## [2801] 4.836219e-01 3.014663e-03 3.977469e-01 2.314122e-01 2.020113e+00
## [2806] 1.421871e-02 9.572230e-01 9.963010e-02 4.902362e-01 8.376650e-02
## [2811] 7.392406e-01 1.824521e-02 1.432155e-01 6.821453e-02 3.215869e+00
## [2816] 2.730313e-03 9.714014e-03 1.052882e+00 3.047304e-01 1.478441e+00
## [2821] 2.565297e+00 3.215869e+00 6.219831e-01 2.574948e-02 1.718285e+00
## [2826] 2.699824e+00 3.347323e+00 1.838575e-01 1.291720e+00 2.974580e-01
## [2831] 2.494942e+00 3.977469e-01 2.131040e+00 4.505049e+00 3.979235e-03
## [2836] 7.566359e+00 2.111793e-02 7.392406e-01 1.824521e-02 6.316594e+00
## [2841] 1.906303e-02 2.361799e+00 2.990882e-02 7.671644e-01 1.238971e+00
## [2846] 9.980467e-02 3.881976e-01 9.950318e-01 5.751293e-01 6.219831e-01
## [2851] 2.834379e-02 1.462418e+00 2.783214e-02 1.401842e+00 1.142147e-02
## [2856] 2.494942e+00 1.680154e-01 1.238971e+00 1.734181e+00 8.132629e-03
## [2861] 2.395967e+00 2.367682e-03 1.157599e-02 2.437048e-01 3.047304e-01
## [2866] 1.478441e+00 3.044233e-01 2.276365e-01 1.085008e+00 2.872621e-01
## [2871] 5.620864e+00 6.219831e-01 1.595403e+00 5.262744e-01 4.385847e-01
## [2876] 4.928751e-02 1.401842e+00 3.463961e-03 4.385847e-01 4.928751e-02
## [2881] 3.047304e-01 1.478441e+00 2.131040e+00 2.574948e-02 2.834379e-02
## [2886] 3.288404e-02 1.154136e+00 7.392406e-01 1.824521e-02 1.069173e+00
## [2891] 1.823545e+00 3.373595e-02 1.046401e+00 2.400868e+00 6.731670e-03
## [2896] 6.219831e-01 8.900768e-03 1.595403e+00 2.872621e-01 3.565011e+00
## [2901] 6.888739e-02 5.288222e+00 5.791261e-02 1.462418e+00 2.783214e-02
## [2906] 1.801493e+00 6.031645e-02 4.081242e-01 1.421299e+00 2.236293e-01
## [2911] 1.178700e-02 3.726656e+00 3.771970e+00 1.823545e+00 2.275909e+00
## [2916] 2.911735e-02 1.048187e-01 1.860143e+02 8.998671e-02 3.961081e-01
## [2921] 1.420634e+00 3.151895e-02 5.940486e+00 1.408458e-01 4.336823e-01
## [2926] 6.558470e-02 1.315674e-01 2.574948e-02 2.931663e+00 3.993450e-03
## [2931] 6.031645e-02 1.616157e+00 8.084450e-02 1.048187e-01 6.098851e-03
## [2936] 2.798305e-01 1.466247e+00 7.404140e-02 1.210213e+01 2.251263e+00
## [2941] 8.505307e-01 2.421346e-03 3.764823e-01 1.536711e+00 1.093880e+01
## [2946] 5.287494e+00 9.119037e-01 9.119037e-01 1.102130e+00 4.081242e-01
## [2951] 9.119037e-01 4.081242e-01 1.616157e+00 2.757992e+00 3.215869e+00
## [2956] 9.119037e-01 1.421299e+00 2.647164e+00 3.651612e-02 3.135034e-01
## [2961] 1.069173e+00 4.928751e-02 1.048187e-01 1.093880e+01 5.287494e+00
## [2966] 6.731670e-03 1.250149e-01 1.375343e-01 7.671644e-01 7.782824e-01
## [2971] 1.036717e+00 1.536711e+00 2.043462e+00 5.291955e-02 5.382083e-01
## [2976] 7.505528e+00 2.992223e-01 1.987374e-03 5.960257e-01 2.371536e+00
## [2981] 1.226097e-01 5.924285e-01 1.936765e-01 1.390817e-01 3.332449e-01
## [2986] 3.044233e-01 1.494419e-01 3.097722e-02 4.081242e-01 2.574948e-02
## [2991] 1.048187e-01 4.220139e+00 6.219831e-01 7.558177e+00 4.106336e+00
## [2996] 2.400868e+00 6.731670e-03 1.220811e+00 1.553649e-01 1.553649e-01
## [3001] 1.987374e-03 8.900768e-03 1.048187e-01 3.047304e-01 1.478441e+00
## [3006] 1.987374e-03 6.031645e-02 1.987374e-03 1.069173e+00 8.963378e-01
## [3011] 9.963010e-02 2.574948e-02 4.494808e-01 3.135034e-01 4.081242e-01
## [3016] 1.220811e+00 3.044233e-01 2.624601e-01 6.031645e-02 8.519896e-01
## [3021] 5.642498e-02 3.330992e+00 6.515719e-03 7.951099e-01 1.401842e+00
## [3026] 1.142147e-02 5.620864e+00 8.819535e-01 1.036717e+00 7.666760e-01
## [3031] 8.100139e-02 3.047304e-01 1.478441e+00 2.236293e-01 7.392406e-01
## [3036] 1.824521e-02 6.928985e-01 1.421299e+00 2.646649e+00 3.752373e-02
## [3041] 1.085008e+00 2.872621e-01 9.963010e-02 2.314122e-01 7.489386e-02
## [3046] 1.102130e+00 1.421299e+00 1.718285e+00 4.632736e+00 3.804309e+00
## [3051] 5.620864e+00 2.574948e-02 1.906303e-02 1.261279e-01 2.574948e-02
## [3056] 2.834379e-02 3.301157e+00 3.853560e-03 1.517442e-02 1.460933e-01
## [3061] 1.595403e+00 3.853560e-03 1.383175e+00 1.387025e-01 3.047304e-01
## [3066] 1.478441e+00 8.900768e-03 3.135034e-01 1.504809e+00 7.220652e-03
## [3071] 2.834379e-02 1.494419e-01 5.642498e-02 1.375343e-01 8.666470e-01
## [3076] 3.592476e-01 2.834379e-02 4.081242e-01 3.202968e-01 1.120489e-01
## [3081] 1.210213e+01 5.620864e+00 5.291955e-02 5.382083e-01 1.020113e+00
## [3086] 5.477993e-03 7.528957e-01 1.511034e-02 2.751151e+00 1.948199e-01
## [3091] 7.603610e-03 4.227200e-01 3.780798e-01 4.602383e-02 2.314122e-01
## [3096] 4.081242e-01 7.392406e-01 1.824521e-02 6.349547e-01 1.421299e+00
## [3101] 2.465518e-01 3.649474e-01 3.726656e+00 3.771970e+00 1.046397e-01
## [3106] 2.535316e-01 1.048187e-01 6.349547e-01 9.745631e-01 3.978960e+00
## [3111] 1.226097e-01 9.299548e-02 6.478153e-03 9.180540e-02 4.000934e-01
## [3116] 1.697609e+00 3.047304e-01 1.478441e+00 2.834379e-02 6.349547e-01
## [3121] 4.385847e-01 3.816919e-02 1.401842e+00 3.977469e-01 8.230505e-01
## [3126] 1.304302e-01 6.031645e-02 1.616157e+00 2.698907e+00 3.044233e-01
## [3131] 3.651612e-02 3.881976e-01 1.401842e+00 1.142147e-02 4.471033e-03
## [3136] 8.908859e-01 9.119037e-01 1.616157e+00 8.444124e-02 5.107480e-01
## [3141] 1.887438e+00 1.007414e-01 3.921635e+00 1.379949e+00 7.603610e-03
## [3146] 1.048187e-01 5.152746e-01 1.616157e+00 2.834379e-02 2.314122e-01
## [3151] 3.135034e-01 1.069173e+00 3.019889e+00 1.759273e+00 7.392406e-01
## [3156] 1.824521e-02 8.097839e+00 7.257108e-01 2.236293e-01 5.642498e-02
## [3161] 3.202968e-01 7.482859e-02 7.782824e-01 1.036717e+00 5.420061e+00
## [3166] 5.779219e-01 7.220347e-02 1.987374e-03 2.164975e-01 5.960257e-01
## [3171] 1.553649e-01 1.618506e-01 7.653686e+00 1.097747e-01 2.236293e-01
## [3176] 4.602383e-02 3.301157e+00 1.204205e-01 9.692755e-03 4.770011e-01
## [3181] 2.981557e-02 8.369408e-02 7.661381e-02 3.498481e-01 5.152746e-01
## [3186] 1.421299e+00 8.490731e-01 3.373595e-02 1.529243e-02 5.232444e-01
## [3191] 2.042664e+00 1.787313e-01 7.694472e-01 4.995193e-01 1.310399e+00
## [3196] 2.164975e-01 1.310399e+00 1.049639e+00 2.575699e+00 1.310399e+00
## [3201] 1.697609e+00 2.552048e+00 2.912898e+00 3.932604e+00 7.805817e-01
## [3206] 6.937505e-01 5.312755e-01 2.435809e+00 2.792753e+00 5.477993e-03
## [3211] 5.855791e-01 2.834379e-02 6.349547e-01 8.819535e-01 1.036717e+00
## [3216] 1.516475e+00 5.291955e-02 2.236293e-01 2.834379e-02 1.553649e-01
## [3221] 7.603610e-03 4.494836e+00 8.262380e-01 1.275151e-01 3.881976e-01
## [3226] 5.382083e-01 1.261279e-01 1.186716e+00 3.804309e+00 3.771970e+00
## [3231] 6.928985e-01 1.421299e+00 1.931162e+00 1.680154e-01 4.385847e-01
## [3236] 8.525044e-01 5.036002e-01 1.618506e-01 7.392406e-01 1.824521e-02
## [3241] 8.011385e-02 1.186716e+00 6.832574e-01 4.315224e-03 1.553649e-01
## [3246] 6.031645e-02 1.931162e+00 1.680154e-01 1.975387e+00 5.291955e-02
## [3251] 2.323902e+00 3.273477e+00 1.680154e-01 2.512343e-01 7.392406e-01
## [3256] 3.430273e-02 2.834379e-02 7.671644e-01 2.020113e+00 1.335840e-02
## [3261] 5.642498e-02 5.291955e-02 1.595403e+00 5.262744e-01 3.734309e+00
## [3266] 1.320645e+00 7.646134e-02 4.818139e-01 1.287337e-01 1.152506e+00
## [3271] 6.094803e-02 1.789521e+00 4.385847e-01 4.928751e-02 8.900768e-03
## [3276] 1.048187e-01 1.462418e+00 2.783214e-02 3.202968e-01 1.120489e-01
## [3281] 8.246250e+00 3.459429e+00 4.285414e+00 2.387857e-01 8.262380e-01
## [3286] 1.275151e-01 1.401842e+00 8.084450e-02 4.259244e+00 1.940565e-02
## [3291] 6.219831e-01 2.834379e-02 4.469512e+00 1.170313e+00 2.018343e-01
## [3296] 6.349547e-01 7.505528e+00 2.992223e-01 2.400868e+00 6.731670e-03
## [3301] 7.558177e+00 5.843036e+00 3.044233e-01 4.149503e-02 7.666760e-01
## [3306] 8.100139e-02 1.819274e+00 2.797415e+00 2.465518e-01 3.649474e-01
## [3311] 4.385847e-01 4.928751e-02 3.088221e-02 1.881717e-01 2.361799e+00
## [3316] 2.990882e-02 8.900768e-03 4.928422e-01 6.219831e-01 2.574948e-02
## [3321] 7.419616e-01 1.434255e-01 4.136031e+00 2.245477e-02 2.236293e-01
## [3326] 2.834379e-02 1.931162e+00 1.680154e-01 1.618506e-01 1.823545e+00
## [3331] 1.595403e+00 1.553649e-01 1.048187e-01 6.349547e-01 2.646649e+00
## [3336] 3.752373e-02 2.706021e-01 2.020840e-01 2.647164e+00 1.208567e-01
## [3341] 6.418038e+00 1.978946e+00 1.069173e+00 1.616157e+00 6.031645e-02
## [3346] 1.618506e-01 2.647164e+00 1.208567e-01 6.031645e-02 4.494808e-01
## [3351] 1.420634e+00 3.151895e-02 1.324407e+00 2.520885e+00 1.510636e+00
## [3356] 2.311448e-01 9.119037e-01 1.616157e+00 5.973042e-01 2.111793e-02
## [3361] 9.999749e+00 1.238971e+00 2.020113e+00 2.574948e-02 8.900768e-03
## [3366] 3.135034e-01 4.601332e-01 7.194657e-01 1.432155e-01 5.382083e-01
## [3371] 3.920061e+00 2.788695e-01 2.494942e+00 1.401842e+00 1.474108e-01
## [3376] 1.398757e-01 4.487598e+00 4.770527e-01 5.620864e+00 6.219831e-01
## [3381] 1.717097e+00 2.834379e-02 1.069173e+00 7.392406e-01 1.824521e-02
## [3386] 4.471033e-03 8.908859e-01 2.834379e-02 7.671644e-01 7.392406e-01
## [3391] 3.430273e-02 8.444124e-02 5.107480e-01 7.666760e-01 8.100139e-02
## [3396] 4.471033e-03 8.908859e-01 2.371536e+00 1.226097e-01 4.385847e-01
## [3401] 3.816919e-02 8.444124e-02 5.107480e-01 1.991834e-03 2.840184e-01
## [3406] 2.236293e-01 3.651612e-02 1.462418e+00 2.783214e-02 4.471033e-03
## [3411] 8.908859e-01 1.553649e-01 2.314122e-01 4.471033e-03 8.908859e-01
## [3416] 8.444124e-02 5.107480e-01 1.618506e-01 6.349547e-01 5.924285e-01
## [3421] 5.107480e-01 3.047304e-01 1.478441e+00 1.999758e-03 2.238922e-01
## [3426] 2.706021e-01 2.834379e-02 7.646134e-02 4.818139e-01 1.553649e-01
## [3431] 1.618506e-01 1.975387e+00 2.367682e-03 1.261279e-01 1.186716e+00
## [3436] 3.044233e-01 2.020840e-01 6.937505e-01 5.312755e-01 2.465518e-01
## [3441] 1.375343e-01 3.220856e-01 3.962930e-02 3.044233e-01 2.020840e-01
## [3446] 5.262744e-01 1.666972e-02 7.528957e-01 1.987374e-03 2.834379e-02
## [3451] 3.687723e-01 3.373595e-02 1.046401e+00 3.273477e+00 1.048187e-01
## [3456] 8.739528e-01 1.462418e+00 2.783214e-02 1.401842e+00 1.142147e-02
## [3461] 1.298921e+00 5.291955e-02 2.236293e-01 5.642498e-02 2.347231e+00
## [3466] 2.556799e-01 8.900768e-03 1.048187e-01 7.392406e-01 3.430273e-02
## [3471] 5.420061e+00 5.779219e-01 1.226097e-01 9.299548e-02 6.358656e+00
## [3476] 4.632736e+00 7.392406e-01 3.430273e-02 9.889720e-01 1.931937e+00
## [3481] 2.204030e+00 1.335840e-02 1.529243e-02 5.232444e-01 5.291955e-02
## [3486] 8.938734e-01 3.726656e+00 3.771970e+00 2.574948e-02 1.464118e+00
## [3491] 2.261350e-01 1.444021e+00 4.285414e+00 2.387857e-01 4.259244e+00
## [3496] 1.940565e-02 6.827760e+00 9.023361e-01 1.811671e-01 4.081242e-01
## [3501] 3.044233e-01 1.253096e+00 1.823545e+00 2.275909e+00 2.494942e+00
## [3506] 2.574948e-02 2.738940e-01 1.992615e-01 6.349547e-01 1.421299e+00
## [3511] 3.044233e-01 8.900768e-03 1.987374e-03 9.491591e-02 6.100163e-01
## [3516] 9.963010e-02 1.048187e-01 1.102951e-01 1.695365e-01 6.031645e-02
## [3521] 4.081242e-01 3.402492e-01 1.261279e-01 1.811671e-01 4.081242e-01
## [3526] 3.962930e-02 8.525044e-01 6.219831e-01 2.574948e-02 3.962930e-02
## [3531] 8.525044e-01 2.834379e-02 2.314122e-01 2.079007e+00 1.734470e-01
## [3536] 3.044233e-01 2.730313e-03 3.962930e-02 8.525044e-01 4.756372e+00
## [3541] 2.574948e-02 7.974236e-01 2.423263e+00 1.290762e+00 1.483229e+00
## [3546] 3.927832e-01 8.900768e-03 1.420634e+00 3.151895e-02 1.048187e-01
## [3551] 7.671644e-01 1.093880e+01 6.418038e+00 2.595922e+00 2.834379e-02
## [3556] 1.317867e+01 8.742272e+00 2.371536e+00 1.226097e-01 9.889720e-01
## [3561] 1.931937e+00 6.515719e-03 4.494808e-01 7.392406e-01 1.824521e-02
## [3566] 3.962930e-02 8.525044e-01 3.777248e+00 6.807090e-02 1.823545e+00
## [3571] 2.778391e+00 2.236293e-01 1.987374e-03 1.432155e-01 3.373595e-02
## [3576] 9.821384e-01 1.734470e-01 2.371536e+00 1.226097e-01 3.927832e-01
## [3581] 2.435025e-01 3.977469e-01 2.834379e-02 1.548987e+00 2.668476e-03
## [3586] 2.834379e-02 2.313571e-01 4.429813e-01 1.220811e+00 9.963010e-02
## [3591] 8.998671e-02 3.961081e-01 2.313571e-01 4.429813e-01 2.361799e+00
## [3596] 2.990882e-02 1.751920e+00 2.146798e+00 7.666760e-01 8.100139e-02
## [3601] 1.421299e+00 1.823545e+00 2.164975e-01 1.310399e+00 2.574948e-02
## [3606] 8.900768e-03 1.807470e+00 2.211306e+00 1.931162e+00 1.023041e-02
## [3611] 7.392406e-01 3.430273e-02 7.392406e-01 1.824521e-02 2.574948e-02
## [3616] 2.314122e-01 2.698907e+00 6.219831e-01 1.516475e+00 5.291955e-02
## [3621] 1.730017e+00 8.854364e-03 2.131040e+00 7.951099e-01 1.172972e+00
## [3626] 3.977469e-01 2.834379e-02 5.973042e-01 3.651612e-02 4.980076e+00
## [3631] 3.927276e+00 8.374574e-01 4.182754e-01 2.020113e+00 1.954538e+00
## [3636] 7.671644e-01 1.169548e+00 1.238971e+00 1.616157e+00 7.603610e-03
## [3641] 1.048187e-01 8.998671e-02 3.961081e-01 3.977469e-01 1.987374e-03
## [3646] 6.913301e-03 2.483972e-01 1.715895e+00 6.725942e-02 1.023041e-02
## [3651] 5.152746e-01 4.597553e-01 1.517442e-02 3.977469e-01 2.834379e-02
## [3656] 3.453085e-02 2.373648e-01 7.662608e-01 1.192034e-02 1.595403e+00
## [3661] 1.553649e-01 9.143929e-01 6.031645e-02 3.301157e+00 3.853560e-03
## [3666] 3.019889e+00 9.963010e-02 5.152746e-01 1.823545e+00 1.529243e-02
## [3671] 5.232444e-01 1.401842e+00 1.142147e-02 1.987374e-03 1.618506e-01
## [3676] 6.031645e-02 6.349547e-01 6.349547e-01 2.088949e+00 3.991906e+00
## [3681] 3.724060e+00 4.980076e+00 4.341489e+00 4.586549e+00 2.131040e+00
## [3686] 1.401842e+00 1.142147e-02 1.147583e-02 9.392874e-01 3.202968e-01
## [3691] 1.120489e-01 1.811671e-01 4.081242e-01 2.834379e-02 6.349547e-01
## [3696] 8.900768e-03 3.135034e-01 4.726983e-01 2.359843e-01 7.951099e-01
## [3701] 1.172972e+00 4.928751e-02 1.048187e-01 3.977469e-01 2.834379e-02
## [3706] 1.344305e+00 7.505528e+00 2.992223e-01 2.236293e-01 2.314122e-01
## [3711] 7.974236e-01 2.423263e+00 1.987374e-03 1.048187e-01 2.111069e+00
## [3716] 6.821453e-02 5.382083e-01 1.036717e+00 2.954249e+00 6.021999e-01
## [3721] 6.471633e-01 2.020840e-01 4.081242e-01 9.119037e-01 2.299128e-02
## [3726] 7.922928e-01 8.963378e-01 5.642498e-02 3.202968e-01 1.120489e-01
## [3731] 2.834379e-02 1.494419e-01 9.963010e-02 1.048187e-01 5.843036e+00
## [3736] 4.980076e+00 8.519896e-01 5.642498e-02 1.751920e+00 1.559611e+00
## [3741] 8.998671e-02 3.961081e-01 3.202968e-01 1.120489e-01 1.401842e+00
## [3746] 1.142147e-02 6.316594e+00 1.906303e-02 1.401842e+00 1.142147e-02
## [3751] 7.392406e-01 3.430273e-02 3.202968e-01 1.120489e-01 7.505528e+00
## [3756] 2.992223e-01 2.371536e+00 1.226097e-01 7.392406e-01 1.824521e-02
## [3761] 6.031645e-02 4.081242e-01 2.313571e-01 4.429813e-01 2.499714e-01
## [3766] 1.421299e+00 8.900768e-03 1.048187e-01 2.313571e-01 4.429813e-01
## [3771] 4.726983e-01 2.359843e-01 9.685638e-02 9.984307e-01 1.052310e+00
## [3776] 1.987374e-03 2.371536e+00 1.226097e-01 3.804309e+00 3.726656e+00
## [3781] 7.392406e-01 1.824521e-02 8.998671e-02 3.961081e-01 7.392406e-01
## [3786] 1.824521e-02 1.931162e+00 1.315674e-01 1.401842e+00 1.142147e-02
## [3791] 7.392406e-01 1.824521e-02 1.401842e+00 1.142147e-02 3.202968e-01
## [3796] 1.120489e-01 7.745869e-01 1.817926e-01 5.583402e+00 2.256013e+00
## [3801] 4.768077e-03 4.752570e-01 3.048427e+00 1.927871e+00 1.618506e-01
## [3806] 9.119037e-01 4.895442e+00 1.439552e+00 1.298921e+00 5.291955e-02
## [3811] 3.088221e-02 2.108251e-03 2.565297e+00 3.215869e+00 4.606371e-02
## [3816] 5.960257e-01 1.036149e+00 1.987374e-03 1.987374e-03 2.314122e-01
## [3821] 4.110322e+00 7.722233e-01 3.202968e-01 7.482859e-02 3.314252e-01
## [3826] 6.349547e-01 3.019889e+00 5.291955e-02 3.651612e-02 3.881976e-01
## [3831] 1.420634e+00 3.151895e-02 1.401842e+00 1.142147e-02 1.811671e-01
## [3836] 4.081242e-01 2.261350e-01 1.444021e+00 4.814272e-01 3.088221e-02
## [3841] 3.555143e+00 3.035533e-01 2.429271e-01 2.018343e-01 5.291955e-02
## [3846] 3.780798e-01 2.151425e-02 8.819535e-01 1.169548e+00 2.321181e-03
## [3851] 1.157095e+00 4.385847e-01 4.928751e-02 1.553649e-01 1.618506e-01
## [3856] 4.945597e-01 1.698757e-02 2.042664e+00 1.787313e-01 9.821384e-01
## [3861] 3.764823e-01 2.878582e+00 4.705286e-01 6.002369e+00 2.251263e+00
## [3866] 7.662608e-01 1.192034e-02 8.084450e-02 1.295953e+00 3.019889e+00
## [3871] 1.553649e-01 1.047984e-01 1.540321e+00 9.572230e-01 8.551426e-02
## [3876] 1.811671e-01 4.081242e-01 4.928751e-02 1.048187e-01 3.202968e-01
## [3881] 1.120489e-01 2.400868e+00 6.731670e-03 3.249176e-03 8.525044e-01
## [3886] 2.400868e+00 6.731670e-03 7.603610e-03 3.159949e+00 1.151907e+00
## [3891] 3.135034e-01 5.382083e-01 1.036717e+00 1.818522e+00 4.427290e-01
## [3896] 7.671644e-01 1.169548e+00 3.092798e-03 7.951099e-01 2.972171e-01
## [3901] 1.181002e+00 4.081242e-01 1.274435e+00 3.801894e+00 2.576350e-01
## [3906] 2.574948e-02 3.687723e-01 4.551526e+00 5.477993e-03 1.220811e+00
## [3911] 9.963010e-02 1.492276e-01 3.498481e-01 1.401842e+00 1.618506e-01
## [3916] 6.219831e-01 2.236293e-01 2.494942e+00 1.618506e-01 4.081242e-01
## [3921] 9.119037e-01 3.901282e+00 6.219831e-01 3.901282e+00 6.219831e-01
## [3926] 2.954249e+00 6.021999e-01 1.811671e-01 5.291955e-02 4.081242e-01
## [3931] 1.238971e+00 3.135034e-01 1.421299e+00 3.453085e-02 1.920166e-01
## [3936] 2.834379e-02 1.494419e-01 1.655914e+00 2.627451e-01 5.583402e+00
## [3941] 2.474986e+00 3.044233e-01 1.253096e+00 4.726983e-01 2.359843e-01
## [3946] 2.042664e+00 1.787313e-01 2.314122e-01 4.081242e-01 6.349547e-01
## [3951] 1.421299e+00 5.397975e+00 3.962930e-02 6.031645e-02 5.152746e-01
## [3956] 3.423026e+00 7.389158e-02 6.728446e-01 2.834379e-02 1.474108e-01
## [3961] 1.398757e-01 2.954249e+00 6.021999e-01 3.684342e-01 2.791633e-01
## [3966] 2.083812e-03 1.428058e-02 8.097839e+00 7.257108e-01 2.371536e+00
## [3971] 1.226097e-01 6.219831e-01 2.574948e-02 7.694472e-01 4.995193e-01
## [3976] 7.566359e+00 2.111793e-02 1.635619e+00 1.421871e-02 2.020113e+00
## [3981] 1.421871e-02 1.676335e+00 4.494808e-01 8.900768e-03 1.048187e-01
## [3986] 4.046400e+00 9.978734e-01 2.236293e-01 6.031645e-02 8.666470e-01
## [3991] 6.031645e-02 3.019889e+00 5.291955e-02 8.666470e-01 6.031645e-02
## [3996] 2.915054e-01 7.646134e-02 7.671644e-01 1.069173e+00 1.595403e+00
## [4001] 1.553649e-01 6.358656e+00 4.980076e+00 6.351518e-03 1.675010e+00
## [4006] 9.119037e-01 2.043462e+00 1.462418e+00 2.783214e-02 8.998671e-02
## [4011] 3.961081e-01 1.102951e-01 1.695365e-01 1.420634e+00 3.151895e-02
## [4016] 1.462418e+00 2.783214e-02 3.651612e-02 3.881976e-01 3.726656e+00
## [4021] 3.787665e+00 5.291955e-02 5.382083e-01 1.238971e+00 2.396831e+00
## [4026] 1.987374e-03 3.135034e-01 2.647164e+00 1.142147e-02 5.620864e+00
## [4031] 1.801493e+00 1.331574e+00 3.188273e-01 1.292979e-01 4.081242e-01
## [4036] 7.671644e-01 1.616157e+00 2.236293e-01 2.314122e-01 3.092798e-03
## [4041] 7.951099e-01 2.706021e-01 1.618506e-01 3.202968e-01 1.120489e-01
## [4046] 2.261350e-01 1.444021e+00 6.821453e-02 2.314122e-01 2.410742e+00
## [4051] 2.964068e+00 2.951530e+00 1.259313e-01 2.698907e+00 6.219831e-01
## [4056] 4.768077e-03 4.752570e-01 1.595403e+00 5.262744e-01 3.202968e-01
## [4061] 1.120489e-01 1.261279e-01 1.186716e+00 1.220811e+00 1.987374e-03
## [4066] 1.462418e+00 2.783214e-02 2.400868e+00 6.731670e-03 7.603610e-03
## [4071] 4.177036e-01 4.721918e+00 8.230505e-01 2.400868e+00 6.731670e-03
## [4076] 6.659482e-02 5.569160e-01 2.042664e+00 1.787313e-01 4.385847e-01
## [4081] 4.928751e-02 3.565011e+00 6.888739e-02 2.574948e-02 7.973954e-01
## [4086] 2.423263e+00 7.973954e-01 2.423263e+00 2.236293e-01 3.135034e-01
## [4091] 3.329236e-01 2.344553e-01 2.574948e-02 1.421299e+00 6.219831e-01
## [4096] 3.135034e-01 4.220139e+00 6.219831e-01 3.019889e+00 5.291955e-02
## [4101] 1.368254e+01 6.873330e+00 1.801493e+00 7.257108e-01 2.698907e+00
## [4106] 6.219831e-01 5.731264e-01 8.551426e-02 2.075880e-02 7.838715e-01
## [4111] 6.031645e-02 4.494808e-01 8.799459e-01 7.698070e-02 3.044233e-01
## [4116] 4.928751e-02 2.020840e-01 7.951099e-01 1.238971e+00 2.396831e+00
## [4121] 1.931162e+00 2.114880e-03 2.910890e+00 6.728446e-01 3.329236e-01
## [4126] 2.875604e-01 1.220811e+00 2.574948e-02 1.298921e+00 5.291955e-02
## [4131] 1.516475e+00 5.291955e-02 3.804309e+00 3.771970e+00 1.553649e-01
## [4136] 8.900768e-03 5.036002e-01 2.834379e-02 2.236293e-01 5.642498e-02
## [4141] 1.220811e+00 3.977469e-01 1.270709e+00 2.516974e+01 4.632736e+00
## [4146] 7.646134e-02 4.818139e-01 6.515719e-03 7.021400e-01 4.136031e+00
## [4151] 2.245477e-02 1.462418e+00 2.783214e-02 7.505528e+00 2.992223e-01
## [4156] 6.031645e-02 4.494808e-01 5.973841e+00 9.963010e-02 2.314122e-01
## [4161] 6.696852e-02 2.883223e-01 8.900768e-03 1.618506e-01 3.035533e-01
## [4166] 2.429271e-01 7.671644e-01 1.383831e+00 1.238971e+00 2.396831e+00
## [4171] 2.574948e-02 9.491591e-02 8.084450e-02 1.048187e-01 2.494942e+00
## [4176] 2.834379e-02 8.900768e-03 3.135034e-01 1.291720e+00 6.807090e-02
## [4181] 7.694472e-01 4.995193e-01 5.291955e-02 5.382083e-01 3.962930e-02
## [4186] 1.739086e+00 9.326284e-01 1.680154e-01 1.595403e+00 6.031645e-02
## [4191] 1.238971e+00 2.043462e+00 6.219831e-01 2.236293e-01 1.672069e+03
## [4196] 7.603610e-03 3.097722e-02 1.261279e-01 1.186716e+00 6.219831e-01
## [4201] 2.314122e-01 1.434255e-01 1.310399e+00 1.603330e-02 5.232444e-01
## [4206] 1.680154e-01 7.661381e-02 2.314122e-01 6.349547e-01 1.616157e+00
## [4211] 3.048427e+00 3.977469e-01 1.729956e-02 2.544433e-01 1.987374e-03
## [4216] 1.123891e-01 3.359839e-01 2.595922e+00 1.152227e-01 1.635619e+00
## [4221] 6.420871e-01 2.535093e+00 7.389158e-02 2.535093e+00 7.389158e-02
## [4226] 2.155853e-02 2.289922e-01 2.834379e-02 4.081242e-01 5.642498e-02
## [4231] 2.310592e-03 4.895442e+00 2.371536e+00 1.226097e-01 1.553649e-01
## [4236] 1.048187e-01 1.401842e+00 1.142147e-02 3.019889e+00 5.291955e-02
## [4241] 1.069173e+00 1.526921e+00 3.952102e-02 1.048187e-01 8.900768e-03
## [4246] 1.048187e-01 7.694472e-01 4.995193e-01 4.049841e+00 1.135589e+00
## [4251] 1.867953e+00 3.703533e-01 3.774517e-01 1.196467e+00 1.517442e-02
## [4256] 1.684539e+00 7.404140e-02 1.048187e-01 1.238971e+00 3.761917e+00
## [4261] 1.454384e+00 5.948638e-01 2.757131e-01 3.771970e+00 3.771970e+00
## [4266] 7.392406e-01 1.824521e-02 1.464630e+01 1.364634e+00 1.717553e+00
## [4271] 5.997005e-01 1.204205e-01 4.709109e-01 7.973954e-01 2.423263e+00
## [4276] 1.220811e+00 1.987374e-03 1.261279e-01 1.186716e+00 6.219831e-01
## [4281] 1.987374e-03 8.505307e-01 2.421346e-03 8.505307e-01 2.421346e-03
## [4286] 2.063522e+00 6.420871e-01 2.212009e-01 1.520711e+00 4.385847e-01
## [4291] 4.928751e-02 1.238971e+00 2.396831e+00 2.494942e+00 1.680154e-01
## [4296] 2.494942e+00 9.963010e-02 2.494942e+00 6.219831e-01 5.291955e-02
## [4301] 5.382083e-01 1.595403e+00 1.553649e-01 3.545382e+02 4.482969e+00
## [4306] 7.646134e-02 4.818139e-01 8.097839e+00 7.257108e-01 1.462418e+00
## [4311] 2.783214e-02 1.093880e+01 6.418038e+00 1.093880e+01 5.287494e+00
## [4316] 2.026845e-01 2.503886e-03 4.136031e+00 2.245477e-02 8.246250e+00
## [4321] 4.469512e+00 8.043601e-02 2.990089e-01 1.987374e-03 1.618506e-01
## [4326] 8.246250e+00 3.459429e+00 3.044233e-01 2.520885e+00 8.246250e+00
## [4331] 4.469512e+00 3.802187e-01 3.373595e-02 5.973042e-01 8.900768e-03
## [4336] 5.973042e-01 1.906303e-02 1.595403e+00 9.963010e-02 8.246250e+00
## [4341] 4.469512e+00 1.781065e+00 2.421391e+00 4.000934e-01 1.697609e+00
## [4346] 7.505528e+00 2.992223e-01 6.728446e-01 2.834379e-02 1.801493e+00
## [4351] 6.219831e-01 1.093880e+01 5.287494e+00 6.885785e+00 6.728446e-01
## [4356] 2.026845e-01 2.503886e-03 9.963010e-02 2.314122e-01 6.219831e-01
## [4361] 1.462418e+00 2.783214e-02 6.807090e-02 3.457521e-01 2.371536e+00
## [4366] 1.226097e-01 1.162565e+01 6.873330e+00 3.044233e-01 1.253096e+00
## [4371] 3.019889e+00 5.291955e-02 4.721918e+00 8.230505e-01 1.555688e+00
## [4376] 9.491591e-02 5.152746e-01 1.616157e+00 3.044233e-01 1.014295e+00
## [4381] 2.236293e-01 1.987374e-03 8.900768e-03 3.135034e-01 4.448833e-01
## [4386] 5.113011e-03 1.298921e+00 5.291955e-02 9.805338e+00 1.987374e-03
## [4391] 9.119037e-01 7.603610e-03 3.097722e-02 8.874783e-02 5.080417e-01
## [4396] 1.298921e+00 5.291955e-02 7.392406e-01 1.446187e-01 6.348458e+00
## [4401] 2.155853e-02 1.818522e+00 2.614165e-02 6.119218e-03 2.373648e-01
## [4406] 3.977469e-01 1.553649e-01 5.583402e+00 2.256013e+00 1.550011e+00
## [4411] 1.016619e-02 8.963378e-01 2.565806e-03 8.246250e+00 3.459429e+00
## [4416] 1.987374e-03 6.349547e-01 1.434255e-01 1.310399e+00 2.757992e+00
## [4421] 3.215869e+00 1.434255e-01 1.310399e+00 7.646134e-02 4.818139e-01
## [4426] 5.152746e-01 1.616157e+00 5.620864e+00 6.219831e-01 7.397201e-01
## [4431] 1.536711e+00 7.505528e+00 2.992223e-01 7.570166e-01 7.951639e-02
## [4436] 3.423026e+00 7.389158e-02 2.371536e+00 1.226097e-01 1.048187e-01
## [4441] 4.081242e-01 2.647164e+00 1.142147e-02 1.298921e+00 5.291955e-02
## [4446] 4.136031e+00 2.245477e-02 1.318828e+00 2.584360e-01 1.627695e+00
## [4451] 2.664593e+00 1.052310e+00 3.044233e-01 5.353938e+00 2.665135e-03
## [4456] 7.805817e-01 2.707406e-02 2.724966e+00 9.588363e-02 5.731264e-01
## [4461] 1.747606e-01 8.900768e-03 1.048187e-01 1.779687e+00 3.563203e-01
## [4466] 5.353938e+00 2.665135e-03 1.298921e+00 5.291955e-02 6.219831e-01
## [4471] 1.987374e-03 1.618506e-01 5.152746e-01 4.632736e+00 3.724060e+00
## [4476] 1.959809e+00 2.131040e+00 2.910890e+00 3.977469e-01 2.903821e-01
## [4481] 7.595239e-02 1.121149e+01 3.555143e+00 7.392406e-01 1.048187e-01
## [4486] 9.119037e-01 1.102130e+00 5.291955e-02 5.382083e-01 6.832574e-01
## [4491] 4.315224e-03 1.238971e+00 2.396831e+00 1.261279e-01 1.186716e+00
## [4496] 5.152746e-01 1.421299e+00 7.671644e-01 1.421299e+00 7.646134e-02
## [4501] 4.818139e-01 3.097722e-02 9.119037e-01 3.565011e+00 6.888739e-02
## [4506] 8.097839e+00 7.257108e-01 2.595922e+00 1.152227e-01 2.236293e-01
## [4511] 5.642498e-02 4.385847e-01 1.906303e-02 1.517442e-02 1.152227e-01
## [4516] 4.179152e-01 6.515719e-03 1.069173e+00 1.616157e+00 7.603610e-03
## [4521] 3.097722e-02 1.063034e+01 5.383509e+00 3.453085e-02 1.920166e-01
## [4526] 9.821384e-01 9.437920e-03 2.494942e+00 6.349547e-01 8.799459e-01
## [4531] 7.698070e-02 4.519010e+00 3.809158e+00 1.536711e+00 1.304302e-01
## [4536] 1.147583e-02 1.595403e+00 1.553649e-01 2.574948e-02 6.031645e-02
## [4541] 1.987374e-03 4.081242e-01 5.977351e-01 1.112115e+00 6.418038e+00
## [4546] 2.669352e+00 6.937505e-01 5.312755e-01 4.081242e-01 1.616157e+00
## [4551] 4.417468e+00 2.872621e-01 6.807090e-02 3.457521e-01 1.220811e+00
## [4556] 3.044233e-01 3.019889e+00 1.401842e+00 2.323051e+00 7.235152e-02
## [4561] 8.246250e+00 4.469512e+00 8.246250e+00 4.469512e+00 1.432155e-01
## [4566] 6.821453e-02 1.093880e+01 6.418038e+00 8.246250e+00 4.469512e+00
## [4571] 1.093880e+01 5.287494e+00 3.802187e-01 3.373595e-02 8.097839e+00
## [4576] 1.595403e+00 2.698907e+00 6.219831e-01 6.348458e+00 2.155853e-02
## [4581] 8.246250e+00 3.459429e+00 4.469512e+00 1.170313e+00 7.558177e+00
## [4586] 4.106336e+00 7.220347e-02 4.285519e-01 8.374574e-01 4.597553e-01
## [4591] 1.093880e+01 5.287494e+00 3.095046e+00 3.135034e-01 1.085008e+00
## [4596] 2.872621e-01 6.219831e-01 8.900768e-03 2.494942e+00 6.888739e-02
## [4601] 4.484246e+00 1.477763e+00 7.528957e-01 2.574948e-02 4.261229e-01
## [4606] 1.306304e-01 1.298921e+00 5.291955e-02 4.261229e-01 1.306304e-01
## [4611] 1.595403e+00 1.553649e-01 3.044051e-02 1.046401e+00 7.671644e-01
## [4616] 1.616157e+00 2.910890e+00 1.097747e-01 7.392406e-01 1.446187e-01
## [4621] 1.004762e+00 1.497739e+00 4.253866e+00 5.620864e+00 6.358656e+00
## [4626] 3.737436e+00 1.715895e+00 2.597103e-03 4.362764e-02 4.333628e-01
## [4631] 1.210213e+01 2.251263e+00 4.551526e+00 4.792374e-01 2.020113e+00
## [4636] 4.393838e-02 1.291720e+00 6.807090e-02 2.020113e+00 4.393838e-02
## [4641] 9.505477e+00 1.788774e+00 6.349547e-01 3.048427e+00 1.462418e+00
## [4646] 2.783214e-02 2.065341e+00 7.603610e-03 8.963378e-01 9.119037e-01
## [4651] 2.321089e+00 9.119037e-01 1.102130e+00 2.574948e-02 2.834379e-02
## [4656] 1.266674e+00 3.877867e-03 7.392406e-01 1.048187e-01 8.963378e-01
## [4661] 2.574948e-02 7.392406e-01 1.824521e-02 3.329236e-01 2.344553e-01
## [4666] 4.385847e-01 2.108251e-03 3.044233e-01 1.253096e+00 8.998671e-02
## [4671] 1.120489e-01 7.392406e-01 1.824521e-02 2.494942e+00 1.048187e-01
## [4676] 8.963378e-01 9.963010e-02 1.266674e+00 3.877867e-03 3.927832e-01
## [4681] 9.395319e-02 5.583402e+00 2.256013e+00 1.261279e-01 1.186716e+00
## [4686] 1.238971e+00 2.396831e+00 1.210213e+01 6.219831e-01 1.536711e+00
## [4691] 2.043462e+00 2.236293e-01 2.834379e-02 7.951099e-01 1.172972e+00
## [4696] 8.963378e-01 2.151425e-02 8.963378e-01 1.553649e-01 2.627451e-01
## [4701] 7.838715e-01 1.987374e-03 9.119037e-01 3.977469e-01 1.618506e-01
## [4706] 1.047984e-01 1.540321e+00 1.238971e+00 2.043462e+00 7.646134e-02
## [4711] 4.818139e-01 6.937505e-01 5.312755e-01 2.334460e+01 2.043462e+00
## [4716] 3.202968e-01 1.120489e-01 1.987374e-03 4.081242e-01 1.595403e+00
## [4721] 1.553649e-01 6.219831e-01 9.963010e-02 1.553649e-01 2.574948e-02
## [4726] 2.751151e+00 2.574948e-02 2.793301e-01 1.138287e+00 2.164975e-01
## [4731] 1.310399e+00 2.111793e-02 5.152746e-01 6.348458e+00 2.155853e-02
## [4736] 7.603610e-03 5.855791e-01 1.254667e+01 5.612255e-01 3.019889e+00
## [4741] 5.291955e-02 2.020113e+00 3.402492e-01 4.253866e+00 8.963378e-01
## [4746] 3.977469e-01 7.671644e-01 1.616157e+00 5.036002e-01 2.468281e-01
## [4751] 1.085008e+00 2.872621e-01 6.219831e-01 2.574948e-02 1.238971e+00
## [4756] 1.616157e+00 3.044233e-01 1.253096e+00 4.106336e+00 3.804309e+00
## [4761] 3.385069e+00 1.906715e-01 2.251263e+00 3.044233e-01 2.371536e+00
## [4766] 1.226097e-01 1.298921e+00 5.291955e-02 2.241664e+00 2.485834e+00
## [4771] 2.228417e+00 1.210213e+01 6.219831e-01 5.262744e-01 2.164975e-01
## [4776] 6.937505e-01 5.312755e-01 6.031645e-02 3.135034e-01 5.771962e+00
## [4781] 3.780798e-01 1.823545e+00 2.275909e+00 1.220811e+00 9.963010e-02
## [4786] 3.044233e-01 1.253096e+00 4.081242e-01 1.421299e+00 1.987374e-03
## [4791] 8.235566e-01 3.977469e-01 3.396412e+02 7.392406e-01 1.824521e-02
## [4796] 7.392406e-01 1.446187e-01 1.085008e+00 2.872621e-01 3.044051e-02
## [4801] 1.046401e+00 6.349547e-01 1.179021e-01 1.261965e+00 4.106336e+00
## [4806] 3.927276e+00 3.202968e-01 1.120489e-01 1.432155e-01 6.821453e-02
## [4811] 7.603610e-03 1.618506e-01 3.044233e-01 1.253096e+00 4.902362e-01
## [4816] 8.376650e-02 3.801894e+00 2.576350e-01 5.642498e-02 1.705608e-02
## [4821] 1.009090e+00 1.730597e-02 1.717469e-01 1.671449e+00 7.257108e-01
## [4826] 3.363652e-02 7.392406e-01 1.824521e-02 3.202968e-01 1.120489e-01
## [4831] 6.219831e-01 6.349547e-01 3.019889e+00 5.291955e-02 1.553649e-01
## [4836] 2.541069e-03 1.462418e+00 2.783214e-02 6.031645e-02 7.671644e-01
## [4841] 4.735685e+00 3.249176e-03 1.487008e+00 5.635956e-01 3.088221e-02
## [4846] 2.834379e-02 1.256015e+00 3.044233e-01 8.963378e-01 2.018343e-01
## [4851] 2.236293e-01 1.987374e-03 6.304779e-03 3.611425e-01 2.574948e-02
## [4856] 2.834379e-02 4.632736e+00 4.341489e+00 8.246250e+00 3.459429e+00
## [4861] 4.551526e+00 7.528957e-01 9.119037e-01 2.261350e-01 1.444021e+00
## [4866] 6.515719e-03 7.951099e-01 1.904867e+00 1.777355e-02 1.401842e+00
## [4871] 1.142147e-02 4.385847e-01 4.928751e-02 1.987374e-03 2.345282e-02
## [4876] 3.019889e+00 5.291955e-02 6.348458e+00 2.155853e-02 3.417173e+00
## [4881] 7.528957e-01 4.471033e-03 8.908859e-01 3.135034e-01 1.536711e+00
## [4886] 8.998671e-02 3.961081e-01 3.927276e+00 3.927276e+00 3.044233e-01
## [4891] 1.253096e+00 5.642498e-02 2.345282e-02 1.550106e+01 2.020113e+00
## [4896] 1.906303e-02 2.236293e-01 5.152746e-01 1.238971e+00 2.043462e+00
## [4901] 3.475932e+00 2.236293e-01 9.915905e-03 3.012217e-01 1.178700e-02
## [4906] 8.551426e-02 4.840095e-01 1.176400e+00 6.659482e-02 5.569160e-01
## [4911] 4.081242e-01 8.092706e-01 8.432552e-01 2.192568e-03 2.020113e+00
## [4916] 2.236293e-01 3.594955e+00 1.220811e+00 4.924510e-01 3.047304e-01
## [4921] 1.401842e+00 1.142147e-02 2.834379e-02 6.349547e-01 4.726983e-01
## [4926] 2.359843e-01 1.401842e+00 5.973042e-01 2.520885e+00 3.048427e+00
## [4931] 3.202968e-01 1.120489e-01 2.314122e-01 7.671644e-01 5.383509e+00
## [4936] 3.737436e+00 1.401842e+00 1.142147e-02 9.386613e+01 3.108818e+00
## [4941] 7.603610e-03 6.349547e-01 1.069173e+00 1.823545e+00 4.226644e+00
## [4946] 8.173616e-02 6.219831e-01 2.314122e-01 3.044233e-01 1.253096e+00
## [4951] 2.342847e-03 3.332449e-01 2.020113e+00 2.236293e-01 5.642498e-02
## [4956] 8.900768e-03 5.642498e-02 8.900768e-03 3.866973e+00 6.120514e-01
## [4961] 1.118797e+00 2.396831e+00 2.834379e-02 1.365285e+00 2.757992e+00
## [4966] 3.215869e+00 6.080173e+00 7.257108e-01 7.392406e-01 1.824521e-02
## [4971] 3.202968e-01 1.120489e-01 5.291955e-02 5.382083e-01 3.135034e-01
## [4976] 1.186716e+00 4.220139e+00 2.494942e+00 2.236293e-01 6.349547e-01
## [4981] 1.616157e+00 6.349547e-01 1.616157e+00 2.020113e+00 1.335840e-02
## [4986] 1.298921e+00 5.291955e-02 7.392406e-01 1.824521e-02 2.486749e-02
## [4991] 4.162351e-01 4.091093e+00 1.315674e-01 4.081242e-01 7.671644e-01
## [4996] 6.002369e+00 2.574948e-02 1.553649e-01 1.618506e-01 7.603610e-03
## [5001] 2.314122e-01 1.069173e+00 1.238971e+00 3.996740e+00 5.942029e-02
## [5006] 1.340598e-01 3.019889e+00 5.291955e-02 2.965139e+00 3.516230e-02
## [5011] 3.202968e-01 1.120489e-01 3.801894e+00 2.576350e-01 4.385847e-01
## [5016] 1.948199e-01 1.151907e+00 1.069173e+00 8.551426e-02 1.556384e+00
## [5021] 2.595922e+00 1.152227e-01 1.053933e+00 3.479833e-01 3.019889e+00
## [5026] 5.291955e-02 1.151907e+00 1.069173e+00 1.048187e-01 1.069173e+00
## [5031] 2.494942e+00 6.219831e-01 1.220811e+00 9.963010e-02 8.900768e-03
## [5036] 3.135034e-01 2.872621e-01 1.881717e-01 1.421299e+00 1.823545e+00
## [5041] 8.444124e-02 8.908859e-01 3.202968e-01 1.120489e-01 2.910890e+00
## [5046] 3.977469e-01 8.998671e-02 3.961081e-01 1.238971e+00 1.616157e+00
## [5051] 4.937457e-02 6.126113e-01 6.219831e-01 1.987374e-03 6.937505e-01
## [5056] 5.312755e-01 3.920061e+00 2.788695e-01 8.444124e-02 5.107480e-01
## [5061] 2.020113e+00 1.987374e-03 1.048187e-01 2.314122e-01 8.235566e-01
## [5066] 2.400868e+00 6.731670e-03 1.811671e-01 2.627451e-01 2.261350e-01
## [5071] 1.444021e+00 3.977469e-01 2.314122e-01 1.904867e+00 7.774252e-02
## [5076] 2.400868e+00 6.731670e-03 9.963010e-02 1.618506e-01 5.152746e-01
## [5081] 9.119037e-01 6.974953e+00 1.069863e-01 9.963010e-02 1.618506e-01
## [5086] 1.982620e-02 1.759999e-01 1.298921e+00 5.291955e-02 6.406363e-02
## [5091] 1.261279e-01 1.674152e+00 2.060262e+00 8.416202e+00 2.311448e-01
## [5096] 2.153629e+00 1.000758e-01 2.400868e+00 6.731670e-03 4.980076e+00
## [5101] 4.193375e+00 1.401842e+00 1.142147e-02 2.878582e+00 9.143929e-01
## [5106] 1.823545e+00 2.520885e+00 5.107806e+00 2.236293e-01 3.019889e+00
## [5111] 4.385847e-01 9.963010e-02 1.618506e-01 6.603943e-01 1.048187e-01
## [5116] 6.349547e-01 1.717553e+00 6.406363e-02 3.061670e-01 1.306304e-01
## [5121] 5.152746e-01 1.238971e+00 2.574948e-02 2.275909e+00 2.065341e+00
## [5126] 4.265122e-02 2.314122e-01 9.119037e-01 1.151907e+00 2.627451e-01
## [5131] 8.963378e-01 8.084450e-02 6.476714e+00 3.976683e-02 3.724060e+00
## [5136] 3.771970e+00 2.951530e+00 3.044233e-01 1.401842e+00 8.900768e-03
## [5141] 1.462418e+00 2.783214e-02 2.757992e+00 3.215869e+00 3.977469e-01
## [5146] 5.642498e-02 1.553649e-01 2.574948e-02 2.371536e+00 1.226097e-01
## [5151] 2.371536e+00 1.226097e-01 4.768077e-03 4.752570e-01 2.834379e-02
## [5156] 1.365285e+00 2.681463e-01 3.498481e-01 1.987374e-03 2.314122e-01
## [5161] 5.152746e-01 7.671644e-01 6.080173e+00 7.257108e-01 2.574948e-02
## [5166] 6.031645e-02 5.843036e+00 4.980076e+00 1.494419e-01 1.023874e+00
## [5171] 1.707615e+00 9.263634e-02 5.291955e-02 5.382083e-01 3.202968e-01
## [5176] 1.120489e-01 8.084450e-02 1.048187e-01 3.202968e-01 1.120489e-01
## [5181] 3.952102e-02 1.048187e-01 2.035886e+00 1.528949e-01 2.371536e+00
## [5186] 1.226097e-01 5.477993e-03 2.960828e-01 8.084450e-02 1.048187e-01
## [5191] 4.768077e-03 4.601332e-01 7.922928e-01 1.521062e+00 1.948199e-01
## [5196] 2.730313e-03 4.385847e-01 4.928751e-02 1.725857e+00 2.834379e-02
## [5201] 4.814272e-01 3.088221e-02 1.401842e+00 1.142147e-02 8.963378e-01
## [5206] 2.574948e-02 4.768077e-03 4.601332e-01 3.202968e-01 1.120489e-01
## [5211] 8.900768e-03 2.314122e-01 7.805817e-01 1.048187e-01 4.768077e-03
## [5216] 4.601332e-01 6.304779e-03 3.611425e-01 2.065341e+00 7.603610e-03
## [5221] 4.924510e-01 3.047304e-01 4.081242e-01 1.616157e+00 5.973042e-01
## [5226] 8.900768e-03 6.219831e-01 9.963010e-02 1.975416e-03 2.299586e-01
## [5231] 2.647164e+00 8.084450e-02 6.219831e-01 9.963010e-02 3.202968e-01
## [5236] 1.120489e-01 2.032522e-01 1.561459e-02 2.751151e+00 8.998671e-02
## [5241] 7.603610e-03 6.349547e-01 2.302678e-03 1.116966e-02 2.302678e-03
## [5246] 3.071742e-01 2.595922e+00 1.152227e-01 4.634042e-01 2.878989e-01
## [5251] 2.494942e+00 1.618506e-01 6.515719e-03 7.951099e-01 3.189392e+01
## [5256] 2.082416e+01 8.982071e+00 6.358656e+00 3.019889e+00 5.291955e-02
## [5261] 8.052860e+00 3.570990e+00 2.519999e+00 2.337106e-02 3.135034e-01
## [5266] 5.152746e-01 2.494942e+00 9.963010e-02 5.924285e-01 5.107480e-01
## [5271] 7.941233e-01 2.138638e+00 1.298921e+00 5.291955e-02 3.387342e-01
## [5276] 2.043462e+00 1.987374e-03 1.048187e-01 2.803896e+00 2.574948e-02
## [5281] 2.236293e-01 5.642498e-02 2.960828e-01 1.310399e+00 2.251263e+00
## [5286] 8.963378e-01 2.972171e-01 1.181002e+00 4.430783e+00 3.742065e-01
## [5291] 1.220811e+00 1.987374e-03 4.385847e-01 4.928751e-02 3.273477e+00
## [5296] 7.705570e-01 1.666972e-02 4.640496e-01 1.142147e-02 5.262744e-01
## [5301] 2.164975e-01 1.536711e+00 2.622384e+00 5.642498e-02 8.279150e-02
## [5306] 2.204030e+00 5.494498e-01 7.918674e+00 9.265298e-01 1.887438e+00
## [5311] 6.586578e-01 1.555688e+00 7.805817e-01 1.635619e+00 6.821453e-02
## [5316] 2.830501e-01 5.942029e-02 1.553649e-01 1.618506e-01 3.718682e-03
## [5321] 2.676180e-01 4.605711e+00 6.693221e-03 4.834005e+00 4.469928e-01
## [5326] 2.235994e-01 3.330992e+00 1.595403e+00 6.406363e-02 2.910890e+00
## [5331] 1.401842e+00 1.142147e-02 3.977469e-01 1.987374e-03 5.262744e-01
## [5336] 2.164975e-01 1.186108e+00 2.345282e-02 1.595403e+00 7.805817e-01
## [5341] 4.385847e-01 4.928751e-02 5.620864e+00 3.019889e+00 4.631855e-03
## [5346] 8.525044e-01 6.219831e-01 2.834379e-02 4.081242e-01 1.616157e+00
## [5351] 4.505049e+00 3.979235e-03 3.102954e+00 6.420284e-02 1.128857e+00
## [5356] 7.392406e-01 1.824521e-02 8.900768e-03 4.928422e-01 3.977469e-01
## [5361] 2.574948e-02 3.920061e+00 2.788695e-01 1.063034e+01 7.558177e+00
## [5366] 2.681463e-01 3.498481e-01 6.937505e-01 5.312755e-01 1.052310e+00
## [5371] 1.553649e-01 1.550011e+00 1.016619e-02 3.952102e-02 1.048187e-01
## [5376] 2.834379e-02 3.135034e-01 4.872197e-02 4.227816e-01 1.256015e+00
## [5381] 3.044233e-01 1.102130e+00 2.043462e+00 4.106336e+00 3.804309e+00
## [5386] 1.616157e+00 2.043462e+00 4.285414e+00 5.262744e-01 6.515719e-03
## [5391] 7.951099e-01 1.636332e+00 2.705026e+00 3.044233e-01 1.987374e-03
## [5396] 8.900768e-03 3.135034e-01 2.698907e+00 6.219831e-01 3.019889e+00
## [5401] 5.291955e-02 4.285414e+00 2.387857e-01 4.551526e+00 8.963378e-01
## [5406] 1.635321e+00 1.962848e+00 4.385847e-01 4.928751e-02 1.948199e-01
## [5411] 2.730313e-03 2.574948e-02 3.048427e+00 1.618506e-01 7.671644e-01
## [5416] 1.048187e-01 4.081242e-01 2.757992e+00 3.215869e+00 8.900768e-03
## [5421] 2.314122e-01 4.430783e+00 3.742065e-01 1.401842e+00 8.084450e-02
## [5426] 2.834379e-02 5.152746e-01 1.048086e-01 1.540360e+00 1.178700e-02
## [5431] 1.238971e+00 7.528957e-01 1.987374e-03 3.858865e-01 8.842171e-02
## [5436] 7.392406e-01 1.824521e-02 1.987374e-03 1.048187e-01 2.314122e-01
## [5441] 2.314122e-01 1.204205e-01 4.081242e-01 3.019889e+00 5.291955e-02
## [5446] 4.081242e-01 9.119037e-01 2.043462e+00 1.207052e+01 3.747650e+00
## [5451] 2.181426e+00 2.314122e-01 8.444124e-02 8.908859e-01 1.987374e-03
## [5456] 7.671644e-01 3.088221e-02 1.069173e+00 2.020113e+00 1.421871e-02
## [5461] 3.019889e+00 5.291955e-02 4.059145e+00 7.805817e-01 5.642498e-02
## [5466] 1.987374e-03 1.298921e+00 5.291955e-02 1.865764e+00 1.680154e-01
## [5471] 7.603610e-03 2.314122e-01 1.292979e-01 4.081242e-01 3.019889e+00
## [5476] 5.291955e-02 1.123891e-01 3.359839e-01 2.043462e+00 6.349547e-01
## [5481] 1.523715e+01 6.515719e-03 1.421299e+00 6.515719e-03 1.421299e+00
## [5486] 1.987374e-03 6.349547e-01 1.953992e+00 2.275909e+00 7.603610e-03
## [5491] 2.834379e-02 3.273477e+00 2.371536e+00 1.226097e-01 4.081242e-01
## [5496] 1.616157e+00 1.595403e+00 2.783214e-02 5.420061e+00 5.779219e-01
## [5501] 7.257108e-01 3.363652e-02 1.178700e-02 1.346865e+00 9.889720e-01
## [5506] 1.931937e+00 2.574948e-02 6.031645e-02 1.085008e+00 2.872621e-01
## [5511] 6.358656e+00 3.737436e+00 2.647164e+00 1.142147e-02 3.301157e+00
## [5516] 6.219831e-01 1.118207e+00 3.044233e-01 1.852103e-01 5.079821e-02
## [5521] 1.135589e+00 1.536711e+00 8.505307e-01 1.051476e-01 1.536711e+00
## [5526] 2.043462e+00 6.219831e-01 1.048187e-01 3.977469e-01 5.642498e-02
## [5531] 5.642498e-02 8.900768e-03 1.298921e+00 5.291955e-02 8.684639e+00
## [5536] 6.702539e-01 3.927832e-01 9.395319e-02 3.594955e+00 7.671644e-01
## [5541] 9.963010e-02 2.314122e-01 2.741853e-01 1.656632e+00 2.544433e-01
## [5546] 1.178700e-02 2.204030e+00 6.219831e-01 2.314122e-01 6.349547e-01
## [5551] 3.019889e+00 1.553649e-01 3.977469e-01 1.987374e-03 8.963378e-01
## [5556] 2.574948e-02 8.963378e-01 2.574948e-02 8.963378e-01 2.574948e-02
## [5561] 8.963378e-01 2.574948e-02 8.963378e-01 2.574948e-02 2.494942e+00
## [5566] 6.349547e-01 1.401842e+00 1.553649e-01 8.963378e-01 2.574948e-02
## [5571] 8.963378e-01 2.574948e-02 8.963378e-01 2.574948e-02 1.865764e+00
## [5576] 1.680154e-01 5.152746e-01 5.735484e-01 1.210213e+01 6.219831e-01
## [5581] 3.019889e+00 1.401842e+00 1.210213e+01 6.219831e-01 3.329236e-01
## [5586] 2.875604e-01 1.238971e+00 2.043462e+00 5.583402e+00 2.256013e+00
## [5591] 1.291720e+00 3.962930e-02 8.173229e-01 2.251526e-03 5.036517e+00
## [5596] 5.279359e-02 5.050735e+00 5.279359e-02 4.792015e-02 1.494419e-01
## [5601] 2.574948e-02 2.314122e-01 2.834379e-02 2.314122e-01 2.314122e-01
## [5606] 4.220139e+00 8.963378e-01 9.963010e-02 1.987374e-03 6.219831e-01
## [5611] 9.963010e-02 1.401842e+00 1.553649e-01 3.927832e-01 9.395319e-02
## [5616] 1.827471e-01 1.162716e+00 3.726656e+00 3.771970e+00 1.401842e+00
## [5621] 2.520885e+00 3.534924e-02 2.106720e-01 4.551526e+00 4.792374e-01
## [5626] 2.020113e+00 5.262744e-01 1.020113e+00 4.928751e-02 9.963010e-02
## [5631] 7.603610e-03 1.618506e-01 6.863350e-01 5.973042e-01 8.900768e-03
## [5636] 3.019889e+00 6.219831e-01 8.390936e-01 6.358656e+00 4.632736e+00
## [5641] 3.202968e-01 1.120489e-01 6.219831e-01 8.900768e-03 1.553649e-01
## [5646] 2.314122e-01 8.900768e-03 2.314122e-01 2.595922e+00 1.152227e-01
## [5651] 4.881445e+00 1.020113e+00 1.906303e-02 9.889720e-01 1.298921e+00
## [5656] 5.291955e-02 1.220811e+00 5.642498e-02 2.757992e+00 3.215869e+00
## [5661] 4.274282e+00 1.335696e-01 5.036002e-01 2.574948e-02 3.920061e+00
## [5666] 2.788695e-01 1.553649e-01 8.900768e-03 5.152746e-01 1.069173e+00
## [5671] 1.553649e-01 2.574948e-02 4.980076e+00 3.726656e+00 3.952102e-02
## [5676] 1.048187e-01 1.821944e+00 2.131040e+00 1.474108e-01 1.398757e-01
## [5681] 1.921575e+00 2.242751e+00 2.251263e+00 2.834379e-02 1.645751e+00
## [5686] 3.516230e-02 7.603610e-03 1.618506e-01 2.111069e+00 5.036002e-01
## [5691] 7.603610e-03 1.618506e-01 1.298921e+00 5.291955e-02 2.574948e-02
## [5696] 2.834379e-02 4.081242e-01 1.616157e+00 2.859783e-01 1.523743e-01
## [5701] 1.987374e-03 5.152746e-01 1.104676e+02 3.804309e+00 1.559611e+00
## [5706] 3.626087e+00 3.902385e+00 1.553649e-01 2.314122e-01 1.298921e+00
## [5711] 5.291955e-02 1.186108e+00 2.345282e-02 4.471033e-03 8.908859e-01
## [5716] 1.048187e-01 6.349547e-01 1.009280e+00 9.724688e-02 4.471033e-03
## [5721] 8.908859e-01 9.963010e-02 1.987374e-03 1.987374e-03 4.081242e-01
## [5726] 3.901282e+00 1.432155e-01 1.595403e+00 1.445684e-02 1.401842e+00
## [5731] 1.142147e-02 6.219831e-01 1.048187e-01 9.119037e-01 1.536711e+00
## [5736] 2.657472e+00 8.908859e-01 9.292932e+00 2.973266e-01 3.952102e-02
## [5741] 1.048187e-01 5.066912e-01 1.844973e+00 3.626087e+00 7.425064e-01
## [5746] 3.945196e-01 3.637268e+00 1.273234e+00 9.805718e-01 3.044233e-01
## [5751] 3.130893e+00 2.251263e+00 3.920061e+00 2.788695e-01 1.168945e+00
## [5756] 5.997005e-01 7.069796e-01 1.800649e-01 3.802187e-01 3.373595e-02
## [5761] 2.951530e+00 3.044233e-01 1.655914e+00 6.406363e-02 1.259313e-01
## [5766] 3.980983e-01 1.931162e+00 1.680154e-01 1.887438e+00 6.586578e-01
## [5771] 6.348458e+00 2.155853e-02 3.135034e-01 1.186716e+00 1.887438e+00
## [5776] 6.586578e-01 4.220139e+00 8.963378e-01 4.226644e+00 8.173616e-02
## [5781] 4.705286e-01 3.373595e-02 1.987374e-03 1.959809e+00 1.387375e+00
## [5786] 3.202968e-01 1.120489e-01 1.401842e+00 1.553649e-01 3.044233e-01
## [5791] 2.834379e-02 2.757992e+00 3.215869e+00 5.152746e-01 1.616157e+00
## [5796] 4.391244e-02 6.764495e-03 1.118207e+00 3.044233e-01 6.937505e-01
## [5801] 5.312755e-01 8.900768e-03 1.823545e+00 5.642498e-02 8.279150e-02
## [5806] 2.114300e-01 7.866736e-01 3.229288e-03 2.884070e-01 2.361799e+00
## [5811] 6.985429e-02 6.990271e-01 7.661381e-02 1.220811e+00 2.281148e+00
## [5816] 1.987374e-03 2.314122e-01 4.881445e+00 1.020113e+00 2.209543e-01
## [5821] 1.223107e-02 4.430783e+00 3.742065e-01 4.881445e+00 1.026512e+00
## [5826] 3.202968e-01 1.120489e-01 2.595922e+00 1.152227e-01 7.603610e-03
## [5831] 2.834379e-02 3.534924e-02 2.075880e-02 9.243780e+00 1.693080e-01
## [5836] 6.349547e-01 1.616157e+00 1.069173e+00 1.823545e+00 3.496648e-02
## [5841] 1.126505e+00 1.421299e+00 1.616157e+00 7.392406e-01 3.430273e-02
## [5846] 7.078164e+00 9.634218e-01 7.671644e-01 1.421299e+00 5.036002e-01
## [5851] 2.574948e-02 1.595403e+00 1.445684e-02 6.349547e-01 1.616157e+00
## [5856] 5.152746e-01 3.738012e+00 3.771970e+00 8.900768e-03 3.135034e-01
## [5861] 8.444124e-02 5.107480e-01 6.348458e+00 2.155853e-02 3.977469e-01
## [5866] 1.987374e-03 3.952102e-02 1.048187e-01 1.987374e-03 2.314122e-01
## [5871] 8.900768e-03 2.314122e-01 1.298921e+00 5.291955e-02 3.737436e+00
## [5876] 3.771970e+00 2.065341e+00 7.603610e-03 1.220811e+00 3.977469e-01
## [5881] 3.927276e+00 3.737436e+00 4.586549e+00 4.632736e+00 3.763861e+00
## [5886] 1.069173e+00 1.421299e+00 2.574948e-02 2.834379e-02 5.620864e+00
## [5891] 2.494942e+00 1.516475e+00 3.220856e-01 3.977469e-01 9.963010e-02
## [5896] 1.595403e+00 6.219831e-01 2.236293e-01 3.135034e-01 6.219831e-01
## [5901] 3.135034e-01 2.530118e+00 1.220811e+00 7.528957e-01 2.236293e-01
## [5906] 1.048187e-01 6.219831e-01 1.987374e-03 1.052310e+00 9.963010e-02
## [5911] 2.371536e+00 1.226097e-01 1.364634e+00 1.680154e-01 2.314122e-01
## [5916] 1.421299e+00 1.686776e+01 1.059717e+01 2.834379e-02 2.314122e-01
## [5921] 1.261279e-01 1.186716e+00 8.900768e-03 3.135034e-01 3.044233e-01
## [5926] 2.834379e-02 8.052860e+00 3.570990e+00 6.349547e-01 1.238971e+00
## [5931] 2.494942e+00 3.952102e-02 6.219831e-01 8.900768e-03 6.349547e-01
## [5936] 8.900768e-03 3.135034e-01 7.123063e-01 2.730313e-03 1.975387e+00
## [5941] 1.895404e-01 1.887438e+00 8.900768e-03 4.336823e-01 6.630540e-02
## [5946] 3.977469e-01 3.687723e-01 1.193334e+00 1.069173e+00 1.823545e+00
## [5951] 6.031645e-02 5.039957e-01 5.107806e+00 3.044233e-01 1.238971e+00
## [5956] 1.616157e+00 1.220811e+00 2.574948e-02 1.553649e-01 8.900768e-03
## [5961] 6.219831e-01 2.745781e-03 2.757992e+00 3.215869e+00 2.042664e+00
## [5966] 1.787313e-01 3.718682e-03 2.774990e-01 1.315674e-01 3.498481e-01
## [5971] 3.019889e+00 5.291955e-02 1.553649e-01 4.081242e-01 3.019889e+00
## [5976] 5.291955e-02 1.048187e-01 4.081242e-01 7.528957e-01 2.872621e-01
## [5981] 2.114880e-03 1.366615e-01 5.036002e-01 2.574948e-02 1.204612e+00
## [5986] 6.273570e-03 9.963010e-02 6.031645e-02 1.553649e-01 8.900768e-03
## [5991] 5.973042e-01 3.651612e-02 1.298921e+00 5.291955e-02 1.256015e+00
## [5996] 3.853560e-03 3.402492e-01 1.261279e-01 8.963378e-01 5.291955e-02
## [6001] 1.553649e-01 6.349547e-01 2.089740e-01 4.285519e-01 2.251263e+00
## [6006] 2.236293e-01 1.906303e-02 1.421299e+00 5.924285e-01 5.107480e-01
## [6011] 1.618506e-01 3.687723e-01 8.963378e-01 7.603610e-03 3.135034e-01
## [6016] 1.036717e+00 5.642498e-02 2.834379e-02 3.373595e-02 4.928422e-01
## [6021] 5.973841e+00 3.901282e+00 2.520885e+00 4.265779e+00 1.979747e-03
## [6026] 7.221261e+00 2.519999e+00 2.337106e-02 8.900768e-03 3.135034e-01
## [6031] 2.834379e-02 2.314122e-01 1.048086e-01 1.540360e+00 7.974236e-01
## [6036] 2.423263e+00 1.553649e-01 6.031645e-02 1.069173e+00 1.823545e+00
## [6041] 2.857143e+00 4.631855e-03 1.291720e+00 1.553649e-01 6.990271e-01
## [6046] 7.489386e-02 1.009280e+00 9.724688e-02 1.256015e+00 4.631855e-03
## [6051] 6.349547e-01 1.238971e+00 3.202968e-01 1.120489e-01 1.931162e+00
## [6056] 1.023041e-02 5.925066e+00 5.973042e-01 2.757992e+00 1.987374e-03
## [6061] 1.048187e-01 2.834379e-02 4.081242e-01 9.119037e-01 1.421299e+00
## [6066] 1.978720e+01 5.801350e+00 2.020113e+00 2.805380e-01 1.048187e-01
## [6071] 1.238971e+00 2.494942e+00 1.987374e-03 2.574948e-02 2.314122e-01
## [6076] 4.830943e+00 6.820298e-01 8.900768e-03 2.314122e-01 7.603610e-03
## [6081] 4.928422e-01 6.219831e-01 2.574948e-02 1.603330e-02 5.232444e-01
## [6086] 2.236293e-01 2.834379e-02 6.219831e-01 8.900768e-03 1.697609e+00
## [6091] 2.043462e+00 2.757992e+00 3.215869e+00 1.069173e+00 1.823545e+00
## [6096] 1.618506e-01 9.119037e-01 5.152746e-01 9.119037e-01 2.209543e-01
## [6101] 1.223107e-02 6.031645e-02 5.039957e-01 7.603610e-03 1.618506e-01
## [6106] 2.065341e+00 2.387857e-01 2.595922e+00 5.477993e-03 2.236293e-01
## [6111] 7.603610e-03 4.336823e-01 6.630540e-02 1.553649e-01 8.900768e-03
## [6116] 1.887438e+00 8.900768e-03 7.603610e-03 1.618506e-01 1.238971e+00
## [6121] 1.616157e+00 6.515719e-03 1.421299e+00 1.857890e+00 2.223695e+00
## [6126] 9.963010e-02 1.048187e-01 8.505307e-01 1.051476e-01 1.618506e-01
## [6131] 6.349547e-01 6.031645e-02 2.314122e-01 6.219831e-01 9.963010e-02
## [6136] 1.123891e-01 3.359839e-01 1.298921e+00 5.291955e-02 3.019889e+00
## [6141] 5.291955e-02 4.768077e-03 6.224228e-01 7.528957e-01 2.872621e-01
## [6146] 3.135034e-01 7.671644e-01 2.624601e-01 2.092281e-01 7.016729e-01
## [6151] 3.224016e-01 4.106336e+00 3.737436e+00 2.595922e+00 1.152227e-01
## [6156] 8.321883e-01 1.962848e+00 2.574948e-02 1.048187e-01 2.910890e+00
## [6161] 3.977469e-01 9.963010e-02 6.031645e-02 7.646134e-02 4.818139e-01
## [6166] 5.036002e-01 2.574948e-02 6.515719e-03 1.421299e+00 2.151322e+00
## [6171] 4.619307e+00 8.087690e-01 6.349547e-01 1.238971e+00 1.337056e+00
## [6176] 2.032522e-01 1.032266e+01 2.460073e+00 1.595403e+00 1.220811e+00
## [6181] 5.420061e+00 5.779219e-01 8.963378e-01 2.565806e-03 6.219831e-01
## [6186] 9.963010e-02 6.974953e+00 1.069863e-01 1.261279e-01 1.186716e+00
## [6191] 4.181091e+00 4.494808e-01 2.043462e+00 6.821453e-02 1.747606e-01
## [6196] 1.123891e-01 3.359839e-01 5.642498e-02 8.279150e-02 1.401842e+00
## [6201] 1.553649e-01 1.595403e+00 1.682430e-01 2.371536e+00 1.226097e-01
## [6206] 1.553649e-01 8.900768e-03 2.579506e-03 1.543453e-01 8.900768e-03
## [6211] 3.135034e-01 6.219831e-01 1.987374e-03 2.574948e-02 2.314122e-01
## [6216] 3.044233e-01 2.276365e-01 3.920061e+00 2.706021e-01 9.963010e-02
## [6221] 1.618506e-01 7.646134e-02 4.818139e-01 2.494942e+00 6.219831e-01
## [6226] 6.031645e-02 1.085008e+00 2.872621e-01 2.236293e-01 5.642498e-02
## [6231] 3.202968e-01 1.120489e-01 8.900768e-03 2.314122e-01 1.221504e-02
## [6236] 3.118797e-01 1.048187e-01 9.119037e-01 1.315674e-01 8.551426e-02
## [6241] 8.388760e-01 1.206127e-01 2.209543e-01 1.223107e-02 7.646134e-02
## [6246] 4.818139e-01 3.920061e+00 2.788695e-01 2.079355e-03 5.855791e-01
## [6251] 8.900768e-03 6.349547e-01 3.977469e-01 7.671644e-01 4.768077e-03
## [6256] 4.752570e-01 1.387375e+00 1.674152e+00 1.261279e-01 1.069173e+00
## [6261] 2.108251e-03 2.834379e-02 3.920061e+00 2.788695e-01 1.220811e+00
## [6266] 9.963010e-02 6.031645e-02 5.039957e-01 6.349547e-01 1.238971e+00
## [6271] 3.004819e+00 2.574948e-02 8.900768e-03 5.477993e-03 1.517442e-02
## [6276] 4.341489e+00 3.724060e+00 3.977469e-01 2.314122e-01 4.632736e+00
## [6281] 3.724060e+00 6.358656e+00 4.106336e+00 1.987374e-03 3.881976e-01
## [6286] 3.301157e+00 1.801493e+00 1.712477e+00 1.633544e+00 2.574948e-02
## [6291] 1.048187e-01 1.421299e+00 2.025407e+00 1.069173e+00 1.421299e+00
## [6296] 2.595922e+00 1.152227e-01 8.321883e-01 1.962848e+00 1.011514e+00
## [6301] 2.281581e+00 1.118797e+00 2.396831e+00 6.480791e-01 6.801911e-02
## [6306] 5.642498e-02 2.834379e-02 1.953992e+00 2.134937e+00 1.204205e-01
## [6311] 3.135034e-01 1.618506e-01 9.119037e-01 4.792015e-02 1.494419e-01
## [6316] 1.887438e+00 8.900768e-03 9.119037e-01 9.119037e-01 3.097722e-02
## [6321] 4.203207e-01 2.910890e+00 3.977469e-01 8.900768e-03 2.314122e-01
## [6326] 7.694472e-01 4.995193e-01 2.595922e+00 1.152227e-01 2.008795e+00
## [6331] 2.493635e-02 3.274821e-01 5.735484e-01 5.642498e-02 8.279150e-02
## [6336] 3.977469e-01 1.494419e-01 2.342847e-03 3.332449e-01 4.768077e-03
## [6341] 4.752570e-01 1.270485e-01 4.516013e-01 2.263204e-01 4.923986e-01
## [6346] 1.278099e+01 9.921944e-01 4.768077e-03 6.224228e-01 7.946127e-01
## [6351] 2.077893e-01 3.019889e+00 1.401842e+00 4.924510e-01 3.047304e-01
## [6356] 9.963010e-02 9.119037e-01 7.671644e-01 1.616157e+00 3.901282e+00
## [6361] 2.574948e-02 2.972171e-01 1.181002e+00 1.553649e-01 2.314122e-01
## [6366] 1.987374e-03 2.314122e-01 6.219831e-01 1.553649e-01 7.805817e-01
## [6371] 1.048187e-01 3.962930e-02 8.525044e-01 1.823545e+00 2.622384e+00
## [6376] 4.081242e-01 1.421299e+00 1.048187e-01 1.004762e+00 2.574948e-02
## [6381] 3.687723e-01 3.952102e-02 1.048187e-01 5.583402e+00 2.256013e+00
## [6386] 8.900768e-03 6.349547e-01 4.471033e-03 8.908859e-01 3.117388e-01
## [6391] 1.463093e+00 8.444124e-02 5.107480e-01 8.963378e-01 2.574948e-02
## [6396] 8.900768e-03 6.349547e-01 1.298921e+00 5.291955e-02 6.349547e-01
## [6401] 1.069173e+00 4.632736e+00 3.763861e+00 6.219831e-01 8.900768e-03
## [6406] 2.834379e-02 7.671644e-01 3.044233e-01 2.276365e-01 1.048187e-01
## [6411] 7.528957e-01 2.834379e-02 5.420061e+00 5.779219e-01 2.213717e-02
## [6416] 7.897055e-01 2.872621e-01 1.517442e-02 1.616157e+00 2.275909e+00
## [6421] 3.920061e+00 2.788695e-01 1.421299e+00 1.823545e+00 2.574948e-02
## [6426] 4.631855e-03 2.342847e-03 3.332449e-01 1.059717e+01 2.263204e-01
## [6431] 4.923986e-01 1.616157e+00 1.238971e+00 2.494942e+00 1.987374e-03
## [6436] 3.097722e-02 4.203207e-01 5.152746e-01 1.616157e+00 9.239136e-01
## [6441] 2.841193e-01 1.987374e-03 6.349547e-01 6.515719e-03 1.421299e+00
## [6446] 1.421299e+00 2.043462e+00 3.167343e-01 5.642498e-02 2.574948e-02
## [6451] 1.048187e-01 8.998671e-02 3.961081e-01 4.597553e-01 4.702624e-02
## [6456] 3.097722e-02 4.203207e-01 3.964051e+00 2.018343e-01 2.321089e+00
## [6461] 2.757992e+00 1.807470e+00 2.757992e+00 1.973363e+01 5.680339e+00
## [6466] 9.404933e+00 5.680339e+00 2.595922e+00 1.152227e-01 1.048187e-01
## [6471] 1.987374e-03 4.792015e-02 1.494419e-01 3.019889e+00 4.081242e-01
## [6476] 9.963010e-02 1.048187e-01 2.371536e+00 1.226097e-01 2.008795e+00
## [6481] 2.493635e-02 4.792015e-02 1.494419e-01 1.179021e-01 4.873124e-01
## [6486] 2.595922e+00 1.152227e-01 5.583402e+00 2.256013e+00 7.603610e-03
## [6491] 2.834379e-02 7.646134e-02 4.818139e-01 3.684342e-01 2.791633e-01
## [6496] 2.494942e+00 3.962930e-02 1.048187e-01 6.349547e-01 1.287518e+00
## [6501] 2.834379e-02 2.314122e-01 2.574948e-02 6.031645e-02 5.266788e-01
## [6506] 1.616157e+00 9.119037e-01 1.616157e+00 4.768077e-03 4.752570e-01
## [6511] 1.618506e-01 9.119037e-01 3.044233e-01 1.618506e-01 1.375343e-01
## [6516] 7.951099e-01 9.128814e-01 4.288265e-03 6.219831e-01 1.987374e-03
## [6521] 3.363652e-02 2.390575e-01 1.553649e-01 8.900768e-03 1.553649e-01
## [6526] 2.541069e-03 5.152746e-01 1.069173e+00 1.052310e+00 5.897935e-03
## [6531] 4.482969e+00 1.536711e+00 2.043462e+00 4.443191e-03 1.922928e-01
## [6536] 3.019889e+00 1.553649e-01 3.274821e-01 1.760791e-01 9.023735e+00
## [6541] 1.987374e-03 4.443191e-03 1.922928e-01 2.494942e+00 1.553649e-01
## [6546] 2.131040e+00 3.202968e-01 2.063554e-01 4.768077e-03 4.752570e-01
## [6551] 2.520885e+00 6.349547e-01 2.371536e+00 1.226097e-01 6.396404e+00
## [6556] 1.975387e+00 1.618506e-01 4.081242e-01 1.987374e-03 6.349547e-01
## [6561] 2.321181e-03 1.157095e+00 6.515719e-03 1.421299e+00 3.097722e-02
## [6566] 4.203207e-01 3.097722e-02 4.203207e-01 2.079355e-03 5.855791e-01
## [6571] 5.383509e+00 3.726656e+00 2.595922e+00 1.152227e-01 7.671644e-01
## [6576] 1.052882e+00 3.202968e-01 2.063554e-01 1.987374e-03 6.349547e-01
## [6581] 8.900768e-03 1.618506e-01 1.987374e-03 6.928985e-01 6.471633e-01
## [6586] 2.020840e-01 2.595922e+00 1.152227e-01 2.314122e-01 1.421299e+00
## [6591] 2.793301e-01 1.138287e+00 3.202968e-01 1.120489e-01 6.219831e-01
## [6596] 1.618506e-01 6.471633e-01 2.020840e-01 7.392406e-01 1.824521e-02
## [6601] 7.603610e-03 2.834379e-02 7.783484e-01 1.161020e-01 2.092281e-01
## [6606] 1.310399e+00 5.477993e-03 2.960828e-01 3.977469e-01 5.291955e-02
## [6611] 4.341489e+00 3.757815e+00 2.236293e-01 4.081242e-01 3.920061e+00
## [6616] 2.706021e-01 9.963010e-02 2.834379e-02 5.477993e-03 2.960828e-01
## [6621] 2.574948e-02 1.048187e-01 6.219831e-01 2.314122e-01 1.553649e-01
## [6626] 2.574948e-02 8.242077e+00 5.843036e+00 4.768077e-03 4.752570e-01
## [6631] 1.069173e+00 1.421299e+00 1.401842e+00 1.142147e-02 1.987374e-03
## [6636] 2.314122e-01 4.792015e-02 1.494419e-01 8.900768e-03 9.119037e-01
## [6641] 7.392406e-01 1.824521e-02 7.671644e-01 1.052882e+00 7.646134e-02
## [6646] 4.818139e-01 4.792015e-02 1.494419e-01 7.603610e-03 2.834379e-02
## [6651] 2.494942e+00 6.219831e-01 3.019889e+00 3.220856e-01 2.574948e-02
## [6656] 1.048187e-01 6.219831e-01 1.987374e-03 2.757992e+00 3.215869e+00
## [6661] 1.987374e-03 2.314122e-01 3.626087e+00 3.044233e-01 1.618506e-01
## [6666] 3.370389e+00 1.807470e+00 4.928422e-01 1.553649e-01 1.048187e-01
## [6671] 2.020840e-01 8.007591e-01 1.987374e-03 9.119037e-01 5.642498e-02
## [6676] 3.687723e-01 1.220811e+00 1.896585e+00 2.131040e+00 7.392406e-01
## [6681] 1.824521e-02 6.219831e-01 1.553649e-01 3.202968e-01 1.120489e-01
## [6686] 3.202968e-01 2.063554e-01 7.392406e-01 1.824521e-02 3.048427e+00
## [6691] 2.263204e-01 4.923986e-01 5.291955e-02 5.382083e-01 1.618506e-01
## [6696] 4.081242e-01 4.443191e-03 1.922928e-01 6.396404e+00 1.975387e+00
## [6701] 3.098107e-03 2.034460e-01 3.202968e-01 1.120489e-01 2.371536e+00
## [6706] 1.226097e-01 8.444124e-02 5.107480e-01 1.230240e-01 4.730815e-01
## [6711] 4.385847e-01 2.834379e-02 6.349547e-01 1.290762e+00 1.559611e+00
## [6716] 3.901282e+00 1.432155e-01 3.097722e-02 4.203207e-01 3.097722e-02
## [6721] 4.203207e-01 1.046397e-01 1.069173e+00 4.107378e+00 3.735374e+00
## [6726] 1.288349e+01 8.226646e+00 1.238971e+00 1.823545e+00 1.651590e-01
## [6731] 1.802752e+00 1.528876e+00 1.824400e+00 4.768077e-03 4.752570e-01
## [6736] 2.232568e-01 1.021763e+00 2.314122e-01 9.119037e-01 3.724060e+00
## [6741] 3.771970e+00 2.321181e-03 1.157095e+00 8.998671e-02 3.961081e-01
## [6746] 1.553649e-01 2.314122e-01 1.595403e+00 2.236293e-01 4.768077e-03
## [6751] 4.752570e-01 2.834379e-02 2.314122e-01 7.783484e-01 1.161020e-01
## [6756] 5.642498e-02 1.618506e-01 3.301157e+00 3.044233e-01 1.048187e-01
## [6761] 8.084450e-02 3.215869e+00 7.671644e-01 1.052882e+00 4.471033e-03
## [6766] 8.908859e-01 7.715422e-02 9.739319e-01 6.728446e-01 6.031645e-02
## [6771] 4.792015e-02 1.494419e-01 4.792015e-02 1.494419e-01 5.382083e-01
## [6776] 1.823545e+00 1.595403e+00 3.249176e-03 3.535193e+00 1.698757e-02
## [6781] 5.494498e-01 4.928422e-01 1.987374e-03 6.349547e-01 4.895442e+00
## [6786] 8.963378e-01 4.385847e-01 1.292979e-01 5.638890e+00 6.259783e-01
## [6791] 5.638890e+00 6.259783e-01 1.553649e-01 2.834379e-02 8.998671e-02
## [6796] 6.349547e-01 1.210213e+01 2.251263e+00 6.930370e+00 4.081242e-01
## [6801] 1.238971e+00 2.275909e+00 2.622384e+00 7.671644e-01 1.069173e+00
## [6806] 4.276392e-02 1.186716e+00 7.505528e+00 2.992223e-01 3.626087e+00
## [6811] 3.220856e-01 3.976399e-03 3.977469e-01 2.574948e-02 6.219831e-01
## [6816] 1.987374e-03 3.977469e-01 2.757131e-01 2.020113e+00 2.236293e-01
## [6821] 6.219831e-01 1.987374e-03 5.583402e+00 2.256013e+00 1.178700e-02
## [6826] 1.781065e+00 2.745781e-03 1.460933e-01 1.516475e+00 2.314122e-01
## [6831] 2.236293e-01 9.119037e-01 1.434255e-01 1.310399e+00 2.236293e-01
## [6836] 2.574948e-02 3.715982e+00 9.963010e-02 1.238971e+00 2.043462e+00
## [6841] 2.965139e+00 6.515719e-03 6.219831e-01 2.574948e-02 6.396404e+00
## [6846] 1.975387e+00 1.906303e-02 7.671644e-01 7.603610e-03 3.097722e-02
## [6851] 2.834379e-02 2.314122e-01 2.965139e+00 6.515719e-03 6.358656e+00
## [6856] 4.106336e+00 5.571098e+01 9.937110e+01 2.371536e+00 1.226097e-01
## [6861] 1.401842e+00 1.142147e-02 3.097722e-02 4.203207e-01 1.618506e-01
## [6866] 9.119037e-01 1.290762e+00 1.807470e+00 3.202968e-01 1.120489e-01
## [6871] 3.097722e-02 4.203207e-01 2.314122e-01 1.421299e+00 8.998671e-02
## [6876] 3.961081e-01 4.756372e+00 2.834379e-02 4.756372e+00 2.834379e-02
## [6881] 2.314122e-01 9.119037e-01 4.106336e+00 3.804309e+00 1.053933e+00
## [6886] 1.142147e-02 5.731264e-01 3.314252e-01 1.421299e+00 2.043462e+00
## [6891] 7.392406e-01 1.824521e-02 8.755016e-01 2.576350e-01 2.834379e-02
## [6896] 2.314122e-01 1.069173e+00 3.726656e+00 2.314122e-01 2.043462e+00
## [6901] 4.471033e-03 8.908859e-01 1.595403e+00 9.963010e-02 1.477763e+00
## [6906] 4.494808e-01 2.236293e-01 2.574948e-02 2.236293e-01 2.574948e-02
## [6911] 2.236293e-01 1.048187e-01 2.444226e+00 2.618975e+00 2.043462e+00
## [6916] 2.520885e+00 1.466247e+00 7.404140e-02 2.595922e+00 1.152227e-01
## [6921] 1.153861e+01 1.238971e+00 2.396831e+00 2.494942e+00 3.952102e-02
## [6926] 1.069173e+00 1.421299e+00 4.768077e-03 4.752570e-01 5.642498e-02
## [6931] 1.747606e-01 2.972171e-01 1.181002e+00 7.715422e-02 9.739319e-01
## [6936] 2.494942e+00 1.910008e+00 2.685924e+00 9.187529e-02 2.685924e+00
## [6941] 9.187529e-02 9.963010e-02 2.314122e-01 1.651590e-01 1.802752e+00
## [6946] 1.006740e+00 4.674017e-02 1.265905e+01 1.329524e+00 1.220811e+00
## [6951] 9.963010e-02 1.801493e+00 8.963378e-01 2.236293e-01 3.135034e-01
## [6956] 6.219831e-01 3.135034e-01 1.645751e+00 3.516230e-02 4.505049e+00
## [6961] 3.979235e-03 2.574948e-02 1.421299e+00 1.618506e-01 5.152746e-01
## [6966] 6.358656e+00 4.632736e+00 2.275909e+00 2.622384e+00 6.349547e-01
## [6971] 1.435758e+00 1.142147e-02 2.494942e+00 3.952102e-02 7.078164e+00
## [6976] 3.742065e-01 1.381048e+01 2.043462e+00 4.081242e-01 7.671644e-01
## [6981] 8.900768e-03 6.031645e-02 2.263204e-01 4.923986e-01 7.973954e-01
## [6986] 2.423263e+00 2.105142e+00 6.959058e-02 9.963010e-02 9.119037e-01
## [6991] 9.239136e-01 2.841193e-01 4.491074e-01 2.834379e-02 2.321181e-03
## [6996] 1.157095e+00 3.273477e+00 1.553649e-01 2.541069e-03 1.210213e+01
## [7001] 6.219831e-01 1.801493e+00 3.044233e-01 7.558177e+00 5.383509e+00
## [7006] 1.088305e+00 2.439092e-02 1.063034e+01 7.558177e+00 2.530118e+00
## [7011] 4.081242e-01 1.261279e-01 1.186716e+00 3.927276e+00 3.846531e+00
## [7016] 3.804309e+00 3.737436e+00 4.484246e+00 1.844215e+00 2.400868e+00
## [7021] 6.731670e-03 9.804442e-03 5.724957e-01 2.302678e-03 3.071742e-01
## [7026] 2.060262e+00 2.321089e+00 2.827059e+01 6.349547e-01 2.494942e+00
## [7031] 3.952102e-02 3.044233e-01 2.276365e-01 3.858660e+00 2.236293e-01
## [7036] 1.069173e+00 1.616157e+00 6.031645e-02 6.349547e-01 7.603610e-03
## [7041] 2.834379e-02 7.392406e-01 1.824521e-02 1.466247e+00 7.404140e-02
## [7046] 1.401842e+00 1.142147e-02 4.792015e-02 1.494419e-01 4.792015e-02
## [7051] 1.494419e-01 1.220811e+00 1.987374e-03 8.900768e-03 3.135034e-01
## [7056] 7.392406e-01 3.430273e-02 3.952102e-02 1.048187e-01 1.987374e-03
## [7061] 4.709109e-01 1.553649e-01 4.081242e-01 1.466247e+00 7.404140e-02
## [7066] 2.595922e+00 1.152227e-01 1.987374e-03 1.618506e-01 2.595922e+00
## [7071] 1.152227e-01 1.401842e+00 1.142147e-02 4.060269e+00 4.081242e-01
## [7076] 3.301157e+00 2.665154e-01 1.048187e-01 6.349547e-01 4.768077e-03
## [7081] 4.752570e-01 4.276392e-02 1.186716e+00 6.728862e+00 5.216995e-01
## [7086] 7.528957e-01 2.236293e-01 5.642498e-02 1.178700e-02 2.574948e-02
## [7091] 6.349547e-01 6.219831e-01 8.900768e-03 1.987374e-03 6.349547e-01
## [7096] 5.973042e-01 3.687723e-01 5.152746e-01 1.616157e+00 1.048187e-01
## [7101] 2.263204e-01 4.923986e-01 2.574948e-02 6.031645e-02 2.706021e-01
## [7106] 6.821453e-02 1.220811e+00 1.987374e-03 9.999749e+00 3.158957e+00
## [7111] 2.020840e-01 7.951099e-01 3.964051e+00 2.872621e-01 6.396404e+00
## [7116] 1.975387e+00 1.401842e+00 1.142147e-02 2.236293e-01 1.987374e-03
## [7121] 1.516475e+00 2.730313e-03 8.799459e-01 1.972903e-02 1.553649e-01
## [7126] 8.900768e-03 2.020113e+00 9.963010e-02 5.569160e-01 1.989539e+00
## [7131] 7.603610e-03 9.453368e+00 2.167519e+00 1.887438e+00 8.900768e-03
## [7136] 2.020113e+00 3.373595e-02 1.492276e-01 3.498481e-01 1.048187e-01
## [7141] 1.004762e+00 2.574948e-02 4.494808e-01 5.642498e-02 4.655064e-01
## [7146] 5.620864e+00 2.468281e-01 4.605711e+00 6.693221e-03 3.626087e+00
## [7151] 1.220811e+00 5.036002e-01 8.444124e-02 5.107480e-01 7.805817e-01
## [7156] 2.574948e-02 6.219831e-01 1.553649e-01 1.645751e+00 3.516230e-02
## [7161] 3.853560e-03 7.951099e-01 2.042664e+00 1.787313e-01 2.574948e-02
## [7166] 9.119037e-01 1.716947e-01 1.438703e+00 4.285519e-01 1.274435e+00
## [7171] 1.306679e+00 2.520885e+00 3.920061e+00 2.788695e-01 3.920061e+00
## [7176] 2.788695e-01 2.574948e-02 1.543453e-01 9.963010e-02 2.314122e-01
## [7181] 1.401842e+00 2.834379e-02 2.212818e-02 1.452474e+00 1.987374e-03
## [7186] 2.314122e-01 1.069173e+00 1.421299e+00 1.220811e+00 2.574948e-02
## [7191] 7.694472e-01 4.601332e-01 2.314122e-01 7.671644e-01 3.202968e-01
## [7196] 1.120489e-01 2.574948e-02 1.048187e-01 2.494942e+00 1.553649e-01
## [7201] 5.291955e-02 5.382083e-01 1.238971e+00 2.396831e+00 4.081242e-01
## [7206] 1.102130e+00 1.618506e-01 4.081242e-01 9.119037e-01 1.238971e+00
## [7211] 6.219831e-01 6.031645e-02 2.622384e+00 2.314122e-01 1.048187e-01
## [7216] 1.421299e+00 2.595922e+00 1.152227e-01 1.987374e-03 6.349547e-01
## [7221] 1.466247e+00 7.404140e-02 3.977469e-01 5.642498e-02 9.963010e-02
## [7226] 1.987374e-03 1.987374e-03 1.048187e-01 1.401842e+00 1.142147e-02
## [7231] 6.219831e-01 1.238971e+00 2.857143e+00 6.821453e-02 1.751920e+00
## [7236] 3.215869e+00 7.694472e-01 4.995193e-01 2.834379e-02 4.081242e-01
## [7241] 5.583402e+00 2.256013e+00 8.963378e-01 2.565806e-03 2.530118e+00
## [7246] 2.618975e+00 3.108818e+00 2.618975e+00 3.108818e+00 2.574948e-02
## [7251] 6.031645e-02 2.314122e-01 7.671644e-01 2.494942e+00 1.910008e+00
## [7256] 1.887438e+00 8.900768e-03 1.048187e-01 9.119037e-01 2.314122e-01
## [7261] 6.349547e-01 1.492276e-01 3.498481e-01 2.757131e-01 2.757131e-01
## [7266] 8.900768e-03 5.735484e-01 8.963378e-01 3.044233e-01 1.492276e-01
## [7271] 3.498481e-01 2.020840e-01 7.951099e-01 1.220811e+00 6.515719e-03
## [7276] 5.620864e+00 1.048187e-01 8.900768e-03 1.261279e-01 2.544433e-01
## [7281] 2.834379e-02 2.020840e-01 7.951099e-01 1.751920e+00 3.215869e+00
## [7286] 5.620864e+00 6.219831e-01 6.031645e-02 5.039957e-01 2.595922e+00
## [7291] 1.152227e-01 4.081242e-01 5.291955e-02 5.382083e-01 8.084450e-02
## [7296] 1.048187e-01 4.341489e+00 3.757815e+00 2.314122e-01 7.671644e-01
## [7301] 4.443191e-03 1.922928e-01 3.044233e-01 2.574948e-02 7.528957e-01
## [7306] 3.044233e-01 7.392406e-01 1.824521e-02 8.900768e-03 1.004762e+00
## [7311] 2.520885e+00 1.763472e+00 7.123063e-01 1.357252e+00 1.215126e-01
## [7316] 2.236293e-01 1.987374e-03 1.684539e+00 7.389158e-02 5.494498e-01
## [7321] 4.928422e-01 2.236293e-01 8.900768e-03 1.401842e+00 6.219831e-01
## [7326] 9.963010e-02 3.314252e-01 5.001060e+00 2.236293e-01 5.308694e-01
## [7331] 2.073610e-03 8.444124e-02 5.107480e-01 7.671644e-01 1.238971e+00
## [7336] 2.960828e-01 1.536711e+00 8.087690e-01 7.220347e-02 8.900768e-03
## [7341] 6.031645e-02 5.152746e-01 1.616157e+00 2.236293e-01 3.135034e-01
## [7346] 6.985429e-02 7.370032e-01 2.314122e-01 1.238971e+00 2.834379e-02
## [7351] 6.349547e-01 1.987374e-03 2.314122e-01 2.834379e-02 3.135034e-01
## [7356] 5.420061e+00 5.779219e-01 5.420061e+00 5.779219e-01 6.728446e-01
## [7361] 6.031645e-02 4.081242e-01 1.102130e+00 1.186108e+00 1.595403e+00
## [7366] 5.262744e-01 2.834379e-02 4.081242e-01 1.987374e-03 6.349547e-01
## [7371] 2.574948e-02 4.081242e-01 3.202968e-01 1.120489e-01 1.482286e-01
## [7376] 1.536711e+00 9.963010e-02 1.987374e-03 1.553649e-01 2.834379e-02
## [7381] 2.042664e+00 4.276392e-02 3.495189e-01 5.642498e-02 4.106336e+00
## [7386] 3.936723e+00 8.963378e-01 6.210698e-02 1.401842e+00 6.210698e-02
## [7391] 6.326205e+00 3.934707e+00 6.031645e-02 3.135034e-01 3.901282e+00
## [7396] 1.553649e-01 9.963010e-02 2.834379e-02 1.592078e-01 6.172962e-01
## [7401] 1.801493e+00 6.031645e-02 6.396404e+00 1.555688e+00 4.830943e+00
## [7406] 6.820298e-01 1.959809e+00 3.270519e+00 2.314122e-01 6.349547e-01
## [7411] 1.466247e+00 7.404140e-02 1.618506e-01 1.069173e+00 1.048187e-01
## [7416] 1.238971e+00 2.314122e-01 6.349547e-01 1.645751e+00 3.516230e-02
## [7421] 5.973042e-01 3.651612e-02 2.574948e-02 6.031645e-02 6.349547e-01
## [7426] 6.219831e-01 1.987374e-03 2.574948e-02 2.314122e-01 2.494942e+00
## [7431] 6.219831e-01 1.987374e-03 2.314122e-01 1.987374e-03 6.349547e-01
## [7436] 7.661381e-02 3.749616e+00 5.779219e-01 2.544433e-01 2.834379e-02
## [7441] 6.219831e-01 2.574948e-02 7.392406e-01 1.824521e-02 2.314122e-01
## [7446] 5.152746e-01 3.495189e-01 1.553649e-01 7.392406e-01 1.824521e-02
## [7451] 7.603610e-03 1.866526e+00 1.801493e+00 3.044233e-01 1.492276e-01
## [7456] 3.498481e-01 1.481313e-02 3.498481e-01 2.872621e-01 1.906303e-02
## [7461] 2.834379e-02 2.314122e-01 1.492276e-01 3.498481e-01 2.320551e-01
## [7466] 3.057766e-01 2.834379e-02 2.314122e-01 2.400868e+00 6.731670e-03
## [7471] 2.314122e-01 4.081242e-01 5.001060e+00 2.236293e-01 4.193375e+00
## [7476] 3.846531e+00 3.534924e-02 2.075880e-02 3.770776e+00 3.738012e+00
## [7481] 6.406363e-02 1.261279e-01 9.963010e-02 4.081242e-01 2.574948e-02
## [7486] 1.421299e+00 1.844215e+00 2.544433e-01 1.048187e-01 1.987374e-03
## [7491] 6.349547e-01 3.102954e+00 6.420284e-02 1.048187e-01 9.119037e-01
## [7496] 2.574948e-02 6.031645e-02 1.618506e-01 1.553649e-01 7.603610e-03
## [7501] 4.768077e-03 4.752570e-01 1.987374e-03 2.834379e-02 2.020840e-01
## [7506] 7.810745e-01 9.963010e-02 1.048187e-01 8.900768e-03 1.261279e-01
## [7511] 8.900768e-03 6.349547e-01 1.553649e-01 2.314122e-01 8.900768e-03
## [7516] 3.135034e-01 1.987374e-03 1.987374e-03 6.349547e-01 1.987374e-03
## [7521] 1.317685e-01 1.434255e-01 2.470887e+00 3.019889e+00 1.553649e-01
## [7526] 3.048427e+00 3.048427e+00 2.494942e+00 1.910008e+00 8.963378e-01
## [7531] 2.574948e-02 3.749616e+00 5.779219e-01 1.041900e+00 2.473550e+00
## [7536] 1.220811e+00 6.515719e-03 1.987374e-03 6.349547e-01 2.415601e+00
## [7541] 2.805380e-01 1.987374e-03 1.987374e-03 3.048427e+00 2.314122e-01
## [7546] 7.671644e-01 2.574948e-02 6.031645e-02 4.001390e+00 1.085008e+00
## [7551] 1.178700e-02 1.069173e+00 1.823545e+00 2.367682e-03 2.468281e-01
## [7556] 2.834379e-02 2.314122e-01 1.987374e-03 4.081242e-01 2.298996e+00
## [7561] 6.471633e-01 3.977469e-01 7.603610e-03 1.801493e+00 3.044233e-01
## [7566] 3.977469e-01 2.574948e-02 6.349547e-01 1.048187e-01 3.135034e-01
## [7571] 5.012073e+00 3.943315e+00 5.152746e-01 1.616157e+00 7.392406e-01
## [7576] 1.824521e-02 4.385847e-01 4.928751e-02 3.202968e-01 1.120489e-01
## [7581] 1.048187e-01 1.421299e+00 1.553649e-01 2.314122e-01 7.646134e-02
## [7586] 4.818139e-01 1.421299e+00 2.043462e+00 2.872621e-01 1.906303e-02
## [7591] 8.900768e-03 6.349547e-01 3.406162e+02 1.553649e-01 2.314122e-01
## [7596] 1.553649e-01 2.314122e-01 6.219831e-01 8.900768e-03 5.012073e+00
## [7601] 4.125944e+00 8.900768e-03 6.349547e-01 4.385847e-01 4.928751e-02
## [7606] 6.396404e+00 1.975387e+00 2.314122e-01 7.671644e-01 8.900768e-03
## [7611] 6.031645e-02 6.349547e-01 1.310399e+00 1.633544e+00 3.266484e+00
## [7616] 2.574948e-02 2.314122e-01 3.977469e-01 1.987374e-03 1.618506e-01
## [7621] 2.314122e-01 7.671644e-01 1.987374e-03 6.349547e-01 2.722346e+00
## [7626] 3.209273e+00 2.972171e-01 1.181002e+00 1.553649e-01 2.834379e-02
## [7631] 2.314122e-01 7.671644e-01 2.470010e+00 2.012470e-03 1.950652e-01
## [7636] 6.349547e-01 2.470010e+00 2.012470e-03 2.275909e+00 2.622384e+00
## [7641] 2.470010e+00 2.012470e-03 2.195483e+00 3.977469e-01 2.314122e-01
## [7646] 1.375343e-01 5.382083e-01 8.963378e-01 1.987374e-03 8.963378e-01
## [7651] 1.987374e-03 8.963378e-01 1.048187e-01 2.665154e-01 3.363652e-02
## [7656] 5.702023e-01 1.776845e+00 8.963378e-01 1.987374e-03 5.924285e-01
## [7661] 1.936765e-01 1.048187e-01 1.238971e+00 5.291955e-02 5.382083e-01
## [7666] 1.987374e-03 6.349547e-01 2.574948e-02 6.031645e-02 1.085008e+00
## [7671] 1.178700e-02 2.111793e-02 1.048187e-01 2.972171e-01 1.181002e+00
## [7676] 1.052310e+00 1.987374e-03 2.298996e+00 6.471633e-01 3.402492e-01
## [7681] 3.853560e-03 2.751151e+00 3.044233e-01 1.112582e+02 3.747650e+00
## [7686] 2.571210e+00 3.096724e+00 8.998671e-02 3.961081e-01 2.107749e+00
## [7691] 2.834379e-02 2.314122e-01 1.421299e+00 2.043462e+00 2.520885e+00
## [7696] 6.821453e-02 1.747606e-01 6.970889e-02 2.468281e-01 1.716947e-01
## [7701] 1.438703e+00 6.349547e-01 1.823545e+00 6.219831e-01 1.220811e+00
## [7706] 6.515719e-03 1.820282e+00 3.266484e+00 4.081242e-01 1.616157e+00
## [7711] 2.520885e+00 2.314122e-01 7.671644e-01 1.987374e-03 6.349547e-01
## [7716] 2.722346e+00 3.209273e+00 3.977469e-01 6.031645e-02 1.261279e-01
## [7721] 1.186716e+00 1.315674e-01 4.081242e-01 4.385847e-01 2.314122e-01
## [7726] 2.972171e-01 1.181002e+00 2.314122e-01 7.671644e-01 3.977469e-01
## [7731] 4.814272e-01 1.110010e-01 6.471633e-01 9.362248e-01 5.642498e-02
## [7736] 1.618506e-01 1.595403e+00 5.262744e-01 1.048187e-01 9.119037e-01
## [7741] 1.987374e-03 6.349547e-01 1.595403e+00 1.987374e-03 4.768077e-03
## [7746] 4.752570e-01 1.048187e-01 6.349547e-01 1.085008e+00 1.178700e-02
## [7751] 2.236293e-01 2.314122e-01 2.574948e-02 6.031645e-02 4.491074e-01
## [7756] 2.834379e-02 3.229288e-03 1.048187e-01 1.823545e+00 2.275909e+00
## [7761] 2.053885e-01 2.574948e-02 2.022532e+00 2.473550e+00 5.642498e-02
## [7766] 6.031645e-02 9.963010e-02 1.618506e-01 5.152746e-01 1.616157e+00
## [7771] 1.048187e-01 7.671644e-01 7.123063e-01 2.730313e-03 5.595693e-01
## [7776] 6.216628e-02 2.314122e-01 5.494498e-01 6.603943e-01 1.220811e+00
## [7781] 3.651612e-02 7.593884e-01 1.450640e+00 4.009659e+00 3.732932e+00
## [7786] 2.342847e-03 3.332449e-01 7.671644e-01 3.135034e-01 1.097747e-01
## [7791] 6.349547e-01 1.310399e+00 2.314122e-01 7.671644e-01 4.081242e-01
## [7796] 1.616157e+00 2.520885e+00 3.202968e-01 1.120489e-01 1.987374e-03
## [7801] 6.349547e-01 1.595403e+00 6.693221e-03 7.392406e-01 1.824521e-02
## [7806] 2.574948e-02 1.421299e+00 2.722346e+00 3.209273e+00 9.884174e-01
## [7811] 2.730313e-03 2.834379e-02 2.314122e-01 4.081242e-01 1.616157e+00
## [7816] 1.485465e+00 8.084450e-02 1.980818e+00 2.107749e+00 2.157299e+00
## [7821] 2.706021e-01 1.553649e-01 1.987374e-03 1.048187e-01 9.119037e-01
## [7826] 5.642498e-02 1.747606e-01 1.948199e-01 8.551426e-02 5.620864e+00
## [7831] 1.048187e-01 8.998671e-02 3.961081e-01 2.960828e-01 7.397201e-01
## [7836] 5.012073e+00 4.009659e+00 5.152746e-01 1.616157e+00 1.517651e+01
## [7841] 4.814272e-01 1.110010e-01 3.977469e-01 6.031645e-02 6.349547e-01
## [7846] 1.616157e+00 3.927832e-01 2.707406e-02 1.048187e-01 6.349547e-01
## [7851] 2.574948e-02 4.285519e-01 2.494942e+00 1.987374e-03 7.805817e-01
## [7856] 2.574948e-02 6.031645e-02 2.314122e-01 6.984680e-01 1.633544e+00
## [7861] 2.574948e-02 6.031645e-02 1.987374e-03 6.349547e-01 2.314122e-01
## [7866] 7.671644e-01 1.820282e+00 2.986655e+00 4.220090e-01 1.048187e-01
## [7871] 4.220090e-01 1.048187e-01 1.899329e+00 1.595403e+00 6.693221e-03
## [7876] 2.314122e-01 7.671644e-01 2.834379e-02 2.314122e-01 8.998671e-02
## [7881] 3.961081e-01 1.238971e+00 3.202968e-01 1.120489e-01 6.031645e-02
## [7886] 4.081242e-01 7.603610e-03 2.834379e-02 7.528957e-01 1.987374e-03
## [7891] 2.162390e-01 6.821453e-02 2.236293e-01 2.314122e-01 3.202968e-01
## [7896] 1.120489e-01 1.553649e-01 8.900768e-03 1.801493e+00 1.553649e-01
## [7901] 3.809283e+00 2.574948e-02 9.119037e-01 1.820282e+00 3.266484e+00
## [7906] 8.900768e-03 3.135034e-01 5.642498e-02 6.031645e-02 8.444124e-02
## [7911] 5.107480e-01 4.660130e+00 3.734335e+00 6.219831e-01 2.574948e-02
## [7916] 2.722346e+00 3.209273e+00 5.924285e-01 1.936765e-01 6.349547e-01
## [7921] 8.390936e-01 1.048187e-01 6.349547e-01 5.884780e+00 4.125944e+00
## [7926] 1.618506e-01 4.081242e-01 5.642498e-02 1.747606e-01 3.249176e-03
## [7931] 4.709109e-01 1.987374e-03 6.349547e-01 2.574948e-02 6.031645e-02
## [7936] 2.314122e-01 7.671644e-01 4.768077e-03 4.752570e-01 6.349547e-01
## [7941] 1.823545e+00 2.314122e-01 7.671644e-01 2.022532e+00 3.266484e+00
## [7946] 6.396404e+00 1.975387e+00 5.583402e+00 2.256013e+00 8.084450e-02
## [7951] 1.048187e-01 5.291955e-02 5.382083e-01 3.088221e-02 2.627451e-01
## [7956] 7.528957e-01 2.872621e-01 3.202968e-01 1.120489e-01 2.371536e+00
## [7961] 1.226097e-01 1.820282e+00 1.811671e-01 9.491591e-02 7.528957e-01
## [7966] 2.872621e-01 6.515719e-03 5.855791e-01 8.998671e-02 3.961081e-01
## [7971] 1.595403e+00 5.262744e-01 6.031645e-02 6.349547e-01 1.238971e+00
## [7976] 1.823545e+00 6.031645e-02 6.349547e-01 3.817136e+00 3.777470e+00
## [7981] 1.553649e-01 6.031645e-02 1.238971e+00 1.645751e+00 3.516230e-02
## [7986] 4.759622e-01 2.918059e-01 1.645751e+00 3.516230e-02 1.645751e+00
## [7991] 3.516230e-02 1.645751e+00 3.516230e-02 4.759622e-01 2.918059e-01
## [7996] 8.374574e-01 1.375343e-01 5.620864e+00 5.262744e-01 7.392406e-01
## [8001] 1.824521e-02 2.749190e+00 3.202968e-01 1.120489e-01 2.722346e+00
## [8006] 3.209273e+00 7.392406e-01 1.824521e-02 7.528957e-01 3.044233e-01
## [8011] 3.202968e-01 1.120489e-01 2.371536e+00 1.226097e-01 2.574948e-02
## [8016] 6.031645e-02 1.987374e-03 6.349547e-01 4.081242e-01 7.671644e-01
## [8021] 3.202968e-01 1.120489e-01 7.528957e-01 2.872621e-01 1.265905e+01
## [8026] 4.220090e-01 1.048187e-01 1.401842e+00 1.142147e-02 8.998671e-02
## [8031] 3.961081e-01 7.392406e-01 1.824521e-02 5.884780e+00 4.364637e+00
## [8036] 3.202968e-01 1.120489e-01 2.486749e-02 8.007591e-01 9.999749e+00
## [8041] 6.031645e-02 2.972171e-01 1.181002e+00 7.991348e-01 3.447526e+00
## [8046] 3.382756e+00 6.471633e-01 2.468281e-01 1.553649e-01 1.987374e-03
## [8051] 6.606593e-03 1.794241e-01 1.048187e-01 6.349547e-01 9.963010e-02
## [8056] 8.900768e-03 6.031645e-02 6.349547e-01 2.371536e+00 1.226097e-01
## [8061] 1.879309e-01 6.821453e-02 3.202968e-01 1.120489e-01 4.504633e-01
## [8066] 9.290913e-03 1.048187e-01 5.152746e-01 2.133907e-01 1.854139e-02
## [8071] 6.802968e+00 1.401842e+00 2.199335e+00 1.204706e-02 7.805817e-01
## [8076] 2.574948e-02 4.285519e-01 1.274435e+00 2.574948e-02 4.285519e-01
## [8081] 1.166486e+00 2.624601e-01 1.206127e-01 2.574948e-02 9.119037e-01
## [8086] 1.335872e+00 2.746829e+00 1.375343e-01 4.081242e-01 8.963378e-01
## [8091] 5.291955e-02 9.963010e-02 2.834379e-02 2.371536e+00 1.226097e-01
## [8096] 1.401842e+00 2.889557e-01 1.048187e-01 9.119037e-01 2.314122e-01
## [8101] 6.349547e-01 1.069173e+00 1.310399e+00 3.088221e-02 4.081242e-01
## [8106] 5.291955e-02 5.382083e-01 2.722346e+00 3.209273e+00 7.528957e-01
## [8111] 2.574948e-02 8.998671e-02 3.961081e-01 3.817136e+00 3.734335e+00
## [8116] 2.574948e-02 1.048187e-01 2.251263e+00 2.236293e-01 6.031645e-02
## [8121] 6.349547e-01 1.220811e+00 1.987374e-03 5.837029e-01 1.178700e-02
## [8126] 2.020113e+00 9.963010e-02 5.837029e-01 1.178700e-02 1.987374e-03
## [8131] 6.349547e-01 2.314122e-01 7.671644e-01 3.768576e+00 1.866526e+00
## [8136] 3.096724e+00 3.439420e-01 2.943683e-01 1.987374e-03 1.375343e-01
## [8141] 3.901282e+00 6.406363e-02 2.430266e-02 3.408677e-02 1.383831e+00
## [8146] 6.970889e-02 2.468281e-01 1.048187e-01 6.349547e-01 5.787512e+00
## [8151] 5.012073e+00 1.238971e+00 2.396831e+00 1.844215e+00 2.544433e-01
## [8156] 2.236293e-01 2.834379e-02 1.401842e+00 1.142147e-02 6.031645e-02
## [8161] 6.349547e-01 7.392406e-01 1.824521e-02 2.020113e+00 1.567772e-01
## [8166] 5.620864e+00 1.048187e-01 5.036002e-01 1.553649e-01 7.603610e-03
## [8171] 4.081242e-01 1.881717e-01 8.452205e-01 9.963010e-02 1.987374e-03
## [8176] 2.236293e-01 6.349547e-01 7.127770e-01 9.119037e-01 6.219831e-01
## [8181] 2.574948e-02 8.963378e-01 2.236293e-01 3.019889e+00 2.236293e-01
## [8186] 8.963378e-01 1.335840e-02 2.236293e-01 6.349547e-01 1.238971e+00
## [8191] 2.396831e+00 1.261279e-01 1.186716e+00 5.152746e-01 1.616157e+00
## [8196] 1.553649e-01 1.950652e-01 1.097747e-01 2.791633e-01 6.937505e-01
## [8201] 5.312755e-01 2.571210e+00 3.266484e+00 5.494498e-01 6.603943e-01
## [8206] 2.574948e-02 4.081242e-01 3.202968e-01 1.120489e-01 3.626087e+00
## [8211] 1.310399e+00 2.622384e+00 9.963010e-02 1.048187e-01 1.987374e-03
## [8216] 7.671644e-01 1.310399e+00 2.938909e+00 9.564128e+00 1.611429e+00
## [8221] 8.900768e-03 3.135034e-01 1.310399e+00 2.622384e+00 1.673709e-01
## [8226] 1.043117e-01 7.694472e-01 4.995193e-01 1.870088e+00 9.362248e-01
## [8231] 1.102130e+00 2.323902e+00 1.238971e+00 6.219831e-01 8.686514e+00
## [8236] 5.642498e-02 3.964040e+00 3.202968e-01 1.120489e-01 8.998671e-02
## [8241] 3.961081e-01 1.047062e+01 1.401842e+00 2.889557e-01 3.202968e-01
## [8246] 1.120489e-01 1.401842e+00 1.142147e-02 3.202968e-01 1.120489e-01
## [8251] 4.494808e-01 7.603610e-03 3.159949e+00 1.069173e+00 1.823545e+00
## [8256] 7.603610e-03 3.159949e+00 6.406038e+00 5.012073e+00 4.768077e-03
## [8261] 4.752570e-01 3.044233e-01 2.520885e+00 3.202968e-01 1.120489e-01
## [8266] 7.603610e-03 3.159949e+00 8.084450e-02 1.048187e-01 1.827471e-01
## [8271] 9.701899e-01 2.314122e-01 2.275909e+00 3.202968e-01 1.120489e-01
## [8276] 4.220090e-01 1.048187e-01 8.998671e-02 3.961081e-01 1.987374e-03
## [8281] 2.314122e-01 3.373595e-02 2.020840e-01 3.202968e-01 1.120489e-01
## [8286] 3.044051e-02 1.046401e+00 3.044233e-01 2.520885e+00 3.202968e-01
## [8291] 1.120489e-01 1.401842e+00 1.142147e-02 6.219831e-01 1.553649e-01
## [8296] 3.202968e-01 1.120489e-01 2.745781e-03 6.811068e-01 3.135034e-01
## [8301] 7.671644e-01 1.401842e+00 1.781065e+00 3.044233e-01 2.520885e+00
## [8306] 2.722346e+00 3.209273e+00 6.821453e-02 6.863350e-01 5.152746e-01
## [8311] 1.953992e+00 2.181426e+00 3.443167e+01 1.116966e-02 3.071742e-01
## [8316] 2.075433e+01 1.633544e+00 2.986655e+00 9.963010e-02 1.987374e-03
## [8321] 2.236293e-01 2.574948e-02 4.494808e-01 6.219831e-01 1.987374e-03
## [8326] 2.114919e+01 3.722774e-01 2.771702e-02 2.972171e-01 1.181002e+00
## [8331] 5.620864e+00 1.401842e+00 5.837029e-01 1.178700e-02 4.276707e-01
## [8336] 2.108569e-02 2.571210e+00 3.266484e+00 1.563240e+00 1.291680e-02
## [8341] 6.219831e-01 5.837029e-01 1.178700e-02 1.781713e+00 9.119037e-01
## [8346] 6.199286e-01 1.306679e+00 6.219831e-01 2.236293e-01 4.494808e-01
## [8351] 1.069173e+00 8.963378e-01 2.236293e-01 5.642498e-02 8.551426e-02
## [8356] 1.048187e-01 4.081242e-01 8.555792e+00 5.790374e+00 6.031645e-02
## [8361] 2.061031e-01 8.460166e-02 4.253866e+00 2.834379e-02 4.081242e-01
## [8366] 2.574948e-02 1.069173e+00 2.494942e+00 1.910008e+00 3.439420e-01
## [8371] 2.943683e-01 6.219831e-01 8.900768e-03 1.595323e+00 6.574314e-03
## [8376] 1.052310e+00 2.111793e-02 1.595323e+00 6.574314e-03 2.520885e+00
## [8381] 2.706021e-01 6.412676e-01 1.681158e+00 1.883093e+00 2.200415e-02
## [8386] 2.167770e+00 2.202881e-01 1.553649e-01 1.987374e-03 8.963378e-01
## [8391] 2.236293e-01 3.249176e-03 1.261279e-01 3.977469e-01 6.031645e-02
## [8396] 1.048187e-01 4.081242e-01 4.276707e-01 2.108569e-02 2.574948e-02
## [8401] 1.069173e+00 1.151907e+00 8.132629e-03 5.126097e-01 9.204279e-02
## [8406] 5.152746e-01 4.276707e-01 2.108569e-02 8.087690e-01 3.853560e-03
## [8411] 4.276707e-01 2.108569e-02 4.081242e-01 6.603943e-01 4.276707e-01
## [8416] 2.108569e-02 4.276707e-01 2.108569e-02 4.276707e-01 2.108569e-02
## [8421] 6.219831e-01 6.031645e-02 8.087690e-01 3.853560e-03 4.276707e-01
## [8426] 2.108569e-02 4.276707e-01 2.108569e-02 4.276707e-01 2.108569e-02
## [8431] 5.194195e-01 9.980467e-02 1.048187e-01 1.102130e+00 6.349547e-01
## [8436] 2.043462e+00 4.364637e+00 3.943315e+00 2.208326e-02 5.831629e-01
## [8441] 2.571210e+00 3.266484e+00 1.987374e-03 5.691980e+00 1.178700e-02
## [8446] 3.498481e-01 3.561825e+00 5.126097e-01 9.204279e-02 5.126097e-01
## [8451] 9.204279e-02 5.126097e-01 9.204279e-02 3.977469e-01 6.031645e-02
## [8456] 6.031645e-02 1.238971e+00 2.574948e-02 1.069173e+00 2.061031e-01
## [8461] 8.460166e-02 2.043462e+00 2.022532e+00 2.520885e+00 2.834379e-02
## [8466] 5.152746e-01 4.364637e+00 3.943315e+00 3.977469e-01 2.834379e-02
## [8471] 6.349547e-01 2.043462e+00 2.236293e-01 5.642498e-02 4.494808e-01
## [8476] 4.253866e+00 3.977469e-01 6.031645e-02 2.147760e-01 5.477993e-03
## [8481] 4.792374e-01 1.120489e-01 1.314834e+00 2.569950e-01 1.987374e-03
## [8486] 6.349547e-01 1.950652e-01 6.349547e-01 5.434810e+00 3.019889e+00
## [8491] 4.586549e+00 4.597553e-01 8.235566e-01 1.497739e+00 6.349547e-01
## [8496] 2.043462e+00 4.606371e-02 5.960257e-01 2.494942e+00 1.910008e+00
## [8501] 6.821453e-02 6.863350e-01 4.276707e-01 2.108569e-02 2.240267e+00
## [8506] 5.291955e-02 3.687723e-01 1.204205e-01 2.834379e-02 1.052310e+00
## [8511] 4.928751e-02 5.620864e+00 1.048187e-01 2.494942e+00 1.910008e+00
## [8516] 2.236293e-01 1.987374e-03 4.889910e+00 2.494942e+00 1.910008e+00
## [8521] 4.276707e-01 2.108569e-02 6.994933e-01 9.821384e-01 1.591205e-02
## [8526] 1.633544e+00 2.520885e+00 2.565806e-03 1.023963e-01 5.642498e-02
## [8531] 2.707406e-02 6.031645e-02 3.135034e-01 2.147760e-01 5.477993e-03
## [8536] 4.276707e-01 2.108569e-02 4.276707e-01 2.108569e-02 4.276707e-01
## [8541] 2.108569e-02 1.421299e+00 1.306679e+00 1.633544e+00 5.419973e+00
## [8546] 4.660130e+00 1.306679e+00 1.633544e+00 4.276707e-01 2.108569e-02
## [8551] 4.276707e-01 2.108569e-02 5.727514e+00 4.364879e+00 4.276707e-01
## [8556] 2.108569e-02 5.880492e+00 4.465933e+00 4.276707e-01 2.108569e-02
## [8561] 4.276707e-01 2.108569e-02 3.135034e-01 3.561825e+00 1.204009e+00
## [8566] 1.781065e+00 2.725887e+00 1.238971e+00 6.219831e-01 2.236293e-01
## [8571] 6.219831e-01 7.284067e-01 5.220742e-02 2.494942e+00 1.910008e+00
## [8576] 7.105817e+00 6.406038e+00 1.501211e+02 4.276707e-01 2.108569e-02
## [8581] 4.276707e-01 2.108569e-02 4.276707e-01 2.108569e-02 7.671644e-01
## [8586] 1.616157e+00 1.421299e+00 3.498481e-01 9.963010e-02 1.048187e-01
## [8591] 3.498481e-01 2.834379e-02 2.520885e+00 1.045466e+01 1.553649e-01
## [8596] 2.834379e-02 3.653454e+00 2.494942e+00 1.910008e+00 2.574948e-02
## [8601] 2.421507e-01 8.900768e-03 5.152746e-01 9.119037e-01 6.098851e-03
## [8606] 1.712255e-01 1.401842e+00 2.574948e-02 2.378371e+00 3.185131e-01
## [8611] 4.340587e-02 2.251263e+00 2.236293e-01 7.123063e-01 2.730313e-03
## [8616] 2.494942e+00 1.910008e+00 3.220856e-01 2.503886e-03 8.164807e+00
## [8621] 1.169548e+00 4.081242e-01 1.315674e-01 7.123063e-01 2.730313e-03
## [8626] 3.220856e-01 2.503886e-03 1.698757e-02 6.821453e-02 9.963010e-02
## [8631] 2.314122e-01 6.219831e-01 1.987374e-03 1.091607e+00 1.147583e-02
## [8636] 6.984680e-01 1.166486e+00 2.494942e+00 1.910008e+00 6.031645e-02
## [8641] 1.069173e+00 6.031645e-02 1.069173e+00 7.805817e-01 1.566074e-01
## [8646] 3.908064e-01 5.639543e-02 2.342847e-03 3.332449e-01 5.477993e-03
## [8651] 1.494419e-01 6.219831e-01 1.987374e-03 5.194195e-01 9.980467e-02
## [8656] 9.963010e-02 6.031645e-02 5.419973e+00 4.125944e+00 2.791633e-01
## [8661] 6.488844e-01 6.219831e-01 6.031645e-02 4.792374e-01 1.120489e-01
## [8666] 3.747650e+00 4.660130e+00 3.817136e+00 1.553649e-01 1.048187e-01
## [8671] 3.608079e-01 2.906852e-02 2.430380e+00 7.304502e-02 1.827471e-01
## [8676] 9.701899e-01 2.571210e+00 2.251263e+00 7.528957e-01 2.208326e-02
## [8681] 5.831629e-01 2.208326e-02 5.831629e-01 2.520885e+00 1.306679e+00
## [8686] 3.817136e+00 2.494942e+00 1.910008e+00 3.878507e-01 2.783214e-02
## [8691] 1.892986e-01 9.204279e-02 3.996740e+00 3.996740e+00 2.494942e+00
## [8696] 1.910008e+00 6.963863e-01 9.204279e-02 8.900768e-03 3.135034e-01
## [8701] 3.135034e-01 4.792374e-01 1.120489e-01 2.236293e-01 2.834379e-02
## [8706] 1.091607e+00 1.147583e-02 1.085008e+00 1.178700e-02 1.987374e-03
## [8711] 2.520885e+00 2.494942e+00 1.306679e+00 8.599322e+00 2.622384e+00
## [8716] 3.047452e+00 1.566074e-01 8.963378e-01 6.349547e-01 2.275909e+00
## [8721] 1.048187e-01 1.515483e+00 2.497737e+00 8.002319e-01 6.578277e-01
## [8726] 6.219831e-01 2.323902e+00 2.494942e+00 1.910008e+00 2.494942e+00
## [8731] 1.910008e+00 2.494942e+00 1.910008e+00 1.048187e-01 6.349547e-01
## [8736] 1.238971e+00 2.574948e-02 6.349547e-01 1.266674e+00 2.579506e-03
## [8741] 3.626087e+00 3.746481e+00 4.936898e+00 3.817136e+00 2.107749e+00
## [8746] 2.458087e+00 3.114281e-01 9.963010e-02 1.048187e-01 4.364637e+00
## [8751] 1.165585e-01 8.035913e-01 2.236293e-01 6.349547e-01 5.107845e-02
## [8756] 4.227816e-01 2.574948e-02 8.525044e-01 6.219831e-01 2.574948e-02
## [8761] 9.054150e+00 5.884780e+00 2.791633e-01 6.488844e-01 1.152227e-01
## [8766] 1.036717e+00 2.574948e-02 2.421507e-01 6.349547e-01 3.933711e+00
## [8771] 1.070225e+01 6.219831e-01 2.236293e-01 3.853560e-03 8.963378e-01
## [8776] 6.349547e-01 1.979055e-03 3.896748e-01 4.073036e+00 2.574948e-02
## [8781] 8.525044e-01 6.963863e-01 9.204279e-02 4.174986e+00 4.586549e+00
## [8786] 1.553649e-01 6.031645e-02 5.074957e+01 1.135589e+00 5.012073e+00
## [8791] 3.943315e+00 3.220856e-01 2.503886e-03 3.517180e-01 9.022651e-01
## [8796] 2.020113e+00 2.574948e-02 5.620864e+00 6.219831e-01 1.919447e+00
## [8801] 6.219831e-01 6.983144e+00 5.012073e+00 2.314122e-01 3.517180e-01
## [8806] 9.022651e-01 8.900768e-03 5.062415e-01 3.052866e+00 6.406038e+00
## [8811] 5.012073e+00 1.062066e+00 1.777355e-02 8.695935e-01 6.693221e-03
## [8816] 2.972171e-01 1.181002e+00 1.553649e-01 7.603610e-03 1.306679e+00
## [8821] 4.928751e-02 8.551426e-02 9.963010e-02 1.881717e-01 3.908064e-01
## [8826] 5.639543e-02 2.473550e+00 2.473550e+00 1.788377e+01 5.942029e-02
## [8831] 8.261159e-02 8.600357e-01 3.485617e-03 4.606371e-02 5.960257e-01
## [8836] 1.165585e-01 8.035913e-01 3.918076e+00 2.805380e-01 6.149639e-01
## [8841] 3.734335e+00 3.877191e+00 2.986655e+00 3.561825e+00 1.306679e+00
## [8846] 1.633544e+00 5.419973e+00 4.660130e+00 1.306679e+00 1.633544e+00
## [8851] 3.908064e-01 5.639543e-02 2.986655e+00 3.561825e+00 5.012073e+00
## [8856] 4.125944e+00 1.062066e+00 2.632726e-02 2.022532e+00 2.722346e+00
## [8861] 3.019889e+00 2.236293e-01 3.943315e+00 3.777470e+00 2.022532e+00
## [8866] 2.722346e+00 4.125944e+00 3.747650e+00 3.310214e+00 2.043462e+00
## [8871] 1.138962e+00 1.870852e+00 2.574948e-02 3.630424e-01 2.065341e+00
## [8876] 2.111793e-02 2.236293e-01 1.238971e+00 2.134937e+00 2.134937e+00
## [8881] 5.291955e-02 4.326976e-01 2.111069e+00 6.219831e-01 3.817136e+00
## [8886] 3.877191e+00 4.125944e+00 3.734335e+00 5.806248e-02 2.289922e-01
## [8891] 1.722691e-01 9.022651e-01 2.534897e-01 8.261159e-02 1.224659e+00
## [8896] 2.614165e-02 2.236293e-01 2.314122e-01 1.434255e-01 4.870918e-01
## [8901] 2.960828e-01 6.603943e-01 7.603610e-03 2.224032e-01 1.048187e-01
## [8906] 9.119037e-01 9.963010e-02 1.987374e-03 5.831629e-01 1.072446e+00
## [8911] 4.858516e-02 6.511783e-01 6.406038e+00 5.419973e+00 6.515719e-03
## [8916] 1.881717e-01 3.734335e+00 3.777470e+00 1.048187e-01 4.081242e-01
## [8921] 9.963010e-02 6.031645e-02 3.275261e-02 4.509185e-02 7.220347e-02
## [8926] 1.881717e-01 4.125944e+00 3.817136e+00 9.418138e-01 3.603315e-02
## [8931] 4.469928e-01 8.908859e-01 1.048187e-01 1.985078e+00 1.048187e-01
## [8936] 1.985078e+00 2.574948e-02 3.498481e-01 1.987374e-03 7.520080e-01
## [8941] 7.220347e-02 3.047304e-01 3.517180e-01 9.022651e-01 3.517180e-01
## [8946] 9.022651e-01 5.942029e-02 8.261159e-02 2.199335e+00 1.204706e-02
## [8951] 4.872197e-02 4.227816e-01 1.165585e-01 8.035913e-01 1.364634e+00
## [8956] 7.973696e-02 1.553649e-01 6.031645e-02 8.695935e-01 6.693221e-03
## [8961] 2.236293e-01 2.574948e-02 7.611489e-01 2.632726e-02 1.680154e-01
## [8966] 1.178700e-02 6.244786e-01 2.574948e-02 1.596108e+00 2.323902e+00
## [8971] 7.611489e-01 2.632726e-02 7.611489e-01 2.992223e-01 1.566074e-01
## [8976] 2.707406e-02 2.935129e-01 6.591104e-01 8.900768e-03 1.048187e-01
## [8981] 3.517180e-01 9.022651e-01 1.069173e+00 1.421299e+00 1.020113e+00
## [8986] 4.512269e-01 3.382158e+00 9.921944e-01 7.603610e-03 3.135034e-01
## [8991] 2.208326e-02 5.831629e-01 2.972171e-01 1.181002e+00 8.002319e-01
## [8996] 6.578277e-01 1.048187e-01 3.980983e-01 3.817136e+00 3.777470e+00
## [9001] 1.238971e+00 2.043462e+00 4.504633e-01 9.290913e-03 1.595403e+00
## [9006] 1.987374e-03 1.970588e-03 4.227816e-01 9.963010e-02 1.987374e-03
## [9011] 2.574948e-02 1.048187e-01 1.739086e+00 2.421391e+00 5.477993e-03
## [9016] 1.494419e-01 1.152227e-01 6.603943e-01 8.963378e-01 2.834379e-02
## [9021] 8.963378e-01 2.834379e-02 8.963378e-01 2.834379e-02 6.349547e-01
## [9026] 1.656632e+00 8.963378e-01 2.834379e-02 1.979055e-03 3.896748e-01
## [9031] 6.349547e-01 3.933711e+00 1.434255e-01 4.870918e-01 1.224659e+00
## [9036] 2.614165e-02 5.152746e-01 6.349547e-01 9.963010e-02 6.031645e-02
## [9041] 1.595403e+00 2.834379e-02 6.031645e-02 2.520885e+00 1.220811e+00
## [9046] 2.834379e-02 1.471967e+01 4.660130e+00 1.220811e+00 2.314122e-01
## [9051] 6.219831e-01 2.314122e-01 2.314122e-01 1.823545e+00 7.566359e+00
## [9056] 1.085008e+00 8.963378e-01 6.349547e-01 3.061670e-01 5.177728e-01
## [9061] 5.152746e-01 1.238971e+00 9.183155e+00 2.335784e+01 4.916466e+01
## [9066] 2.314122e-01 2.331723e+00 2.473550e+00 1.421299e+00 1.335840e-02
## [9071] 7.997767e+00 1.823545e+00 1.820282e+00 4.285519e-01 7.782778e+00
## [9076] 4.253866e+00 4.021197e+00 6.219831e-01 5.941582e+00 1.310399e+00
## [9081] 6.031645e-02 3.135034e-01 2.105896e+01 3.048427e+00 3.561825e+00
## [9086] 2.151322e+00 2.901162e+00 1.166486e+00 2.075433e+01 5.642498e-02
## [9091] 3.853560e-03 6.349547e-01 9.183155e+00 1.973542e+02 1.421299e+00
## [9096] 4.253866e+00 3.622763e+00 1.616198e+00 2.341008e+00 2.064829e+00
## [9101] 3.229288e-03 2.314122e-01 6.031645e-02 1.626369e+01 1.987374e-03
## [9106] 2.020113e+00 6.031645e-02 1.238971e+00 1.322850e+01 5.936212e-01
## [9111] 1.811671e-01 1.939762e+00 2.622384e+00 4.253866e+00 1.220811e+00
## [9116] 1.987374e-03 9.119037e-01 6.349547e-01 6.349547e-01 6.349547e-01
## [9121] 1.178700e-02 7.301933e-01 3.996740e+00 3.137484e+00 6.349547e-01
## [9126] 1.152506e+00 3.334650e+00 2.314122e-01 1.306679e+00 4.253866e+00
## [9131] 1.618506e-01 2.314122e-01 1.303899e+01 4.199082e+00 2.520885e+00
## [9136] 6.219831e-01 2.043462e+00 6.219831e-01 6.349547e-01 6.349547e-01
## [9141] 3.375507e+00 2.795915e+00 3.198955e+00 8.243685e+00 9.963010e-02
## [9146] 1.987374e-03 2.275909e+00 2.494942e+00 1.238971e+00 1.616157e+00
## [9151] 5.641310e+00 3.196341e+00 2.642792e+00 1.069173e+00 1.595403e+00
## [9156] 1.618506e-01 2.314122e-01 2.251641e+01 3.131607e+00 2.585949e+00
## [9161] 1.531568e+01 1.178700e-02 6.796170e+00 1.987374e-03 5.616431e-01
## [9166] 3.853560e-03 9.119037e-01 9.119037e-01 2.043462e+00 2.520885e+00
## [9171] 3.594955e+00 5.090488e+00 3.380457e+00 7.748143e+00 9.894747e+01
## [9176] 4.081242e-01 8.243685e+00 2.494942e+00 3.216327e+00 1.238971e+00
## [9181] 3.962930e-02 2.834379e-02 3.310009e+00 9.963010e-02 1.238971e+00
## [9186] 2.738443e+00 6.349547e-01 3.278109e+00 1.801493e+00 1.987374e-03
## [9191] 2.559275e+00 1.401842e+00 3.274673e+00 3.025626e+00 3.516613e+00
## [9196] 1.165595e+01 1.377702e+01 3.698285e+00 1.987374e-03 3.135034e-01
## [9201] 3.324856e+01 5.196327e+00 4.928422e-01 8.973420e+00 1.987374e-03
## [9206] 4.570126e+00 3.739487e+00 1.616157e+00 5.343350e+00 1.462063e+01
## [9211] 3.964051e+00 3.589139e-01 2.574948e-02 5.152746e-01 6.219831e-01
## [9216] 1.432155e-01 8.235566e-01 3.206341e+00 9.119037e-01 2.622676e+00
## [9221] 9.963010e-02 1.039510e+01 3.666811e+00 6.952497e+00 8.819535e-01
## [9226] 9.979121e+00 5.642498e-02 1.238971e+00 1.064154e+01 2.938909e+00
## [9231] 3.135034e-01 5.712781e+00 3.019889e+00 4.081242e-01 2.236293e-01
## [9236] 6.219831e-01 8.469449e+00 6.219831e-01 2.803896e+00 4.081242e-01
## [9241] 2.559275e+00 1.517162e+00 3.044233e-01 3.207606e+00 6.349547e-01
## [9246] 3.687723e-01 1.987374e-03 3.695909e+02 2.275909e+00 2.134937e+00
## [9251] 6.349547e-01 3.286634e+00 1.069173e+00 3.274673e+00 5.152746e-01
## [9256] 1.536711e+00 3.195348e+00 7.082993e+02 3.730993e-01 8.192576e-01
## [9261] 2.574948e-02 4.106366e+00 3.196341e+00 3.977469e-01 6.613261e+00
## [9266] 6.397376e+00 6.031645e-02 4.139301e+00 4.631855e-03 9.415735e+00
## [9271] 1.432155e-01 6.031645e-02 4.134334e+00 1.618506e-01 2.992775e+00
## [9276] 3.207606e+00 2.520885e+00 3.375798e+00 1.004762e+00 4.084750e+00
## [9281] 3.575819e+00 1.204009e+00 9.119037e-01 3.203193e+00 5.036002e-01
## [9286] 3.628486e+00 1.069173e+00 1.769841e+01 1.401842e+00 5.500031e+00
## [9291] 1.454493e+01 2.574877e+02 3.027224e+00 3.516613e+00 2.228417e+00
## [9296] 3.315984e+02 3.516613e+00 3.095046e+00 6.863350e-01 6.310379e+00
## [9301] 3.236172e+00 4.139301e+00 2.314122e-01 4.253866e+00 7.653686e+00
## [9306] 6.219831e-01 9.260315e+02 2.574948e-02 2.520885e+00 3.556705e+00
## [9311] 5.642498e-02 3.289609e+00 3.044233e-01 2.729564e+00 3.575819e+00
## [9316] 4.237851e+00 4.081242e-01 2.834379e-02 2.314122e-01 8.218535e+00
## [9321] 5.937937e+00 3.274673e+00 1.459269e+00 2.730313e-03 4.385435e+00
## [9326] 2.043462e+00 1.048187e-01 1.032054e+02 3.216327e+00 1.004957e+01
## [9331] 4.573207e+00 3.420728e+00 3.390368e+00 2.595288e+00 2.729564e+00
## [9336] 3.135034e-01 1.801493e+00 1.421299e+00 1.953992e+00 1.497739e+00
## [9341] 3.421805e+00 4.017405e-01 2.627451e-01 3.750962e-02 9.685638e-02
## [9346] 3.169259e+00 8.084450e-02 2.454621e+01 1.864299e+01 3.980516e+00
## [9351] 5.642498e-02 1.716968e+01 2.108251e-03 5.152746e-01 6.349547e-01
dataset$pvalues <- pchisq(dataset_MD, df=3, lower.tail=FALSE)
dataset
##      work_year                                job_title
## 1         2023                     Data DevOps Engineer
## 2         2023                           Data Architect
## 3         2023                           Data Architect
## 4         2023                           Data Scientist
## 5         2023                           Data Scientist
## 6         2023                           Data Scientist
## 7         2023                           Data Scientist
## 8         2023              Machine Learning Researcher
## 9         2023              Machine Learning Researcher
## 10        2023                            Data Engineer
## 11        2023                            Data Engineer
## 12        2023                Machine Learning Engineer
## 13        2023                Machine Learning Engineer
## 14        2023                           Data Scientist
## 15        2023                           Data Scientist
## 16        2023                             Data Analyst
## 17        2023                             Data Analyst
## 18        2023                           Data Scientist
## 19        2023                           Data Scientist
## 20        2023                       Analytics Engineer
## 21        2023                       Analytics Engineer
## 22        2023                Machine Learning Engineer
## 23        2023                Machine Learning Engineer
## 24        2023                             Data Analyst
## 25        2023                             Data Analyst
## 26        2023                Machine Learning Engineer
## 27        2023                Machine Learning Engineer
## 28        2023                        Applied Scientist
## 29        2023                        Applied Scientist
## 30        2023                Machine Learning Engineer
## 31        2023                Machine Learning Engineer
## 32        2023                             BI Developer
## 33        2023                             BI Developer
## 34        2023                            Data Engineer
## 35        2023                            Data Engineer
## 36        2023           Business Intelligence Engineer
## 37        2023           Business Intelligence Engineer
## 38        2023                            Data Engineer
## 39        2023                            Data Engineer
## 40        2023                            Data Engineer
## 41        2023                            Data Engineer
## 42        2023                             Data Analyst
## 43        2023                             Data Analyst
## 44        2023                Machine Learning Engineer
## 45        2023                Machine Learning Engineer
## 46        2023                       Research Scientist
## 47        2023                       Research Scientist
## 48        2023                           Data Scientist
## 49        2023                           Data Scientist
## 50        2023                            Data Engineer
## 51        2023                            Data Engineer
## 52        2023                           Data Scientist
## 53        2023                           Data Scientist
## 54        2023                         Research Analyst
## 55        2023                         Research Analyst
## 56        2023                       Analytics Engineer
## 57        2023                       Analytics Engineer
## 58        2023                       Research Scientist
## 59        2023                       Research Scientist
## 60        2023                            Data Engineer
## 61        2023                            Data Engineer
## 62        2023                        Research Engineer
## 63        2023                        Research Engineer
## 64        2023                             Data Analyst
## 65        2023                             Data Analyst
## 66        2023                Machine Learning Engineer
## 67        2023                Machine Learning Engineer
## 68        2023                            Data Engineer
## 69        2023                            Data Engineer
## 70        2023                       Research Scientist
## 71        2023                       Research Scientist
## 72        2023                             Data Analyst
## 73        2023                             Data Analyst
## 74        2023                            Data Engineer
## 75        2023                            Data Engineer
## 76        2023                            Data Engineer
## 77        2023                            Data Engineer
## 78        2023                            Data Engineer
## 79        2023                            Data Engineer
## 80        2023                           Data Scientist
## 81        2023                           Data Scientist
## 82        2023                       Research Scientist
## 83        2023                       Research Scientist
## 84        2023                            Data Engineer
## 85        2023                            Data Engineer
## 86        2023                Machine Learning Engineer
## 87        2023                Machine Learning Engineer
## 88        2023                           Data Scientist
## 89        2023                           Data Scientist
## 90        2023                           Data Scientist
## 91        2023                           Data Scientist
## 92        2023                Machine Learning Engineer
## 93        2023                Machine Learning Engineer
## 94        2023                            Data Engineer
## 95        2023                            Data Engineer
## 96        2023                            Data Engineer
## 97        2023                            Data Engineer
## 98        2023                            Data Engineer
## 99        2023                            Data Engineer
## 100       2023                           Data Scientist
## 101       2023                           Data Scientist
## 102       2023                    Data Science Engineer
## 103       2023                    Data Science Engineer
## 104       2023                           Data Scientist
## 105       2023                           Data Scientist
## 106       2023                           Data Scientist
## 107       2023                           Data Scientist
## 108       2023                            Data Engineer
## 109       2023                            Data Engineer
## 110       2023                            Data Engineer
## 111       2023                            Data Engineer
## 112       2023                       Research Scientist
## 113       2023                       Research Scientist
## 114       2023                       Research Scientist
## 115       2023                       Research Scientist
## 116       2023                            Data Engineer
## 117       2023                            Data Engineer
## 118       2023                            Data Engineer
## 119       2023                            Data Engineer
## 120       2023                           Data Scientist
## 121       2023                           Data Scientist
## 122       2023                Machine Learning Engineer
## 123       2023                Machine Learning Engineer
## 124       2023                     Data Quality Analyst
## 125       2023                     Data Quality Analyst
## 126       2023                           Data Scientist
## 127       2023                           Data Scientist
## 128       2023                     Data Product Manager
## 129       2023                     Data Product Manager
## 130       2023                Machine Learning Engineer
## 131       2023                Machine Learning Engineer
## 132       2023                            Data Engineer
## 133       2023                            Data Engineer
## 134       2023                Machine Learning Engineer
## 135       2023                Machine Learning Engineer
## 136       2023                             Data Analyst
## 137       2023                             Data Analyst
## 138       2023                           Data Scientist
## 139       2023                           Data Scientist
## 140       2023                            Data Engineer
## 141       2023                            Data Engineer
## 142       2023                           Data Scientist
## 143       2023                           Data Scientist
## 144       2023                             Data Analyst
## 145       2023                            Data Engineer
## 146       2023                            Data Engineer
## 147       2023               Machine Learning Scientist
## 148       2023               Machine Learning Scientist
## 149       2023                Machine Learning Engineer
## 150       2023                Machine Learning Engineer
## 151       2023                            Data Engineer
## 152       2023                            Data Engineer
## 153       2023                              AI Engineer
## 154       2023                              AI Engineer
## 155       2023                Machine Learning Engineer
## 156       2023                Machine Learning Engineer
## 157       2023                           Data Architect
## 158       2023                           Data Architect
## 159       2023                            Data Engineer
## 160       2023                            Data Engineer
## 161       2023                           MLOps Engineer
## 162       2023                           MLOps Engineer
## 163       2023                       Analytics Engineer
## 164       2023                       Analytics Engineer
## 165       2023                            Data Engineer
## 166       2023                            Data Engineer
## 167       2023                           Data Scientist
## 168       2023                           Data Scientist
## 169       2023                             Data Analyst
## 170       2023                             Data Analyst
## 171       2023                             Data Analyst
## 172       2023                             Data Analyst
## 173       2023                           Data Scientist
## 174       2023                   Deep Learning Engineer
## 175       2023                   Deep Learning Engineer
## 176       2023                            Data Engineer
## 177       2023                            Data Engineer
## 178       2023                            Data Engineer
## 179       2023                            Data Engineer
## 180       2023                           Data Scientist
## 181       2023                           Data Scientist
## 182       2023                           Data Scientist
## 183       2023                           Data Scientist
## 184       2023                            Data Engineer
## 185       2023                            Data Engineer
## 186       2023                            Data Engineer
## 187       2023                            Data Engineer
## 188       2023                             Data Modeler
## 189       2023                             Data Modeler
## 190       2023                           Data Scientist
## 191       2023                           Data Scientist
## 192       2023                           Data Scientist
## 193       2023                           Data Scientist
## 194       2023                Machine Learning Engineer
## 195       2023                Machine Learning Engineer
## 196       2023                           Data Scientist
## 197       2023                           Data Scientist
## 198       2023                Machine Learning Engineer
## 199       2023                Machine Learning Engineer
## 200       2023                           Data Scientist
## 201       2023                           Data Scientist
## 202       2023                Machine Learning Engineer
## 203       2023                Machine Learning Engineer
## 204       2023                Machine Learning Engineer
## 205       2023                Machine Learning Engineer
## 206       2023                        Research Engineer
## 207       2023                        Research Engineer
## 208       2023                             Data Analyst
## 209       2023                             Data Analyst
## 210       2023                             Data Analyst
## 211       2023                           Data Scientist
## 212       2023                           Data Scientist
## 213       2023                            Data Engineer
## 214       2023                            Data Engineer
## 215       2023                            Data Engineer
## 216       2023                            Data Engineer
## 217       2023                           Data Scientist
## 218       2023                           Data Scientist
## 219       2023                       Data Product Owner
## 220       2023                       Data Product Owner
## 221       2023                           Data Scientist
## 222       2023                           Data Scientist
## 223       2023                           Data Scientist
## 224       2023                           Data Scientist
## 225       2023                            Data Engineer
## 226       2023                            Data Engineer
## 227       2023                Machine Learning Engineer
## 228       2023                Machine Learning Engineer
## 229       2023                           Data Scientist
## 230       2023                           Data Scientist
## 231       2023                             Data Analyst
## 232       2023                             Data Analyst
## 233       2023                             Data Analyst
## 234       2023                             Data Analyst
## 235       2023                       Analytics Engineer
## 236       2023                             Data Analyst
## 237       2023                             Data Analyst
## 238       2023           Business Intelligence Engineer
## 239       2023           Business Intelligence Engineer
## 240       2023                           Data Scientist
## 241       2023                           Data Scientist
## 242       2023                             Data Analyst
## 243       2023                             Data Analyst
## 244       2023                            Data Engineer
## 245       2023                            Data Engineer
## 246       2023                           Data Scientist
## 247       2023                           Data Scientist
## 248       2023                            Data Engineer
## 249       2023                            Data Engineer
## 250       2023                            Data Engineer
## 251       2023                            Data Engineer
## 252       2023                Machine Learning Engineer
## 253       2023                Machine Learning Engineer
## 254       2023                Machine Learning Engineer
## 255       2023                Machine Learning Engineer
## 256       2023                Machine Learning Engineer
## 257       2023                Machine Learning Engineer
## 258       2023                             Data Analyst
## 259       2023                             Data Analyst
## 260       2023                             Data Analyst
## 261       2023                             Data Analyst
## 262       2023                             Data Analyst
## 263       2023                             Data Analyst
## 264       2023                Machine Learning Engineer
## 265       2023                Machine Learning Engineer
## 266       2023                           Data Scientist
## 267       2023                           Data Scientist
## 268       2023                           Data Scientist
## 269       2023                           Data Scientist
## 270       2023                             Data Analyst
## 271       2023                             Data Analyst
## 272       2023                            Data Engineer
## 273       2023                            Data Engineer
## 274       2023                        Applied Scientist
## 275       2023                        Applied Scientist
## 276       2023                Machine Learning Engineer
## 277       2023                Machine Learning Engineer
## 278       2023                       Research Scientist
## 279       2023                       Research Scientist
## 280       2023                            Data Engineer
## 281       2023                            Data Engineer
## 282       2023                            Data Engineer
## 283       2023                  Data Science Consultant
## 284       2023                  Data Science Consultant
## 285       2023                  Data Science Consultant
## 286       2023                  Data Science Consultant
## 287       2023                            Data Engineer
## 288       2023                            Data Engineer
## 289       2023               Machine Learning Scientist
## 290       2023               Machine Learning Scientist
## 291       2023                            Data Engineer
## 292       2023                            Data Engineer
## 293       2023                           Data Scientist
## 294       2023                Machine Learning Engineer
## 295       2023                Machine Learning Engineer
## 296       2023                           Data Scientist
## 297       2023                           Data Scientist
## 298       2023                           Data Scientist
## 299       2023                           Data Scientist
## 300       2023                            Data Engineer
## 301       2023                            Data Engineer
## 302       2023                Machine Learning Engineer
## 303       2023                Machine Learning Engineer
## 304       2023                           Data Scientist
## 305       2023                           Data Scientist
## 306       2023                            Data Engineer
## 307       2023                            Data Engineer
## 308       2023                           Data Scientist
## 309       2023                           Data Scientist
## 310       2023            Business Intelligence Analyst
## 311       2023            Business Intelligence Analyst
## 312       2023                             Data Analyst
## 313       2023                             Data Analyst
## 314       2023                Machine Learning Engineer
## 315       2023                Machine Learning Engineer
## 316       2023                             AI Developer
## 317       2023                           Data Architect
## 318       2023                           Data Architect
## 319       2023                            Data Engineer
## 320       2023                            Data Engineer
## 321       2023                            Data Engineer
## 322       2023                            Data Engineer
## 323       2023                           Data Scientist
## 324       2023                           Data Scientist
## 325       2023                            Data Engineer
## 326       2023                            Data Engineer
## 327       2023                            Data Engineer
## 328       2023                            Data Engineer
## 329       2023                           Data Scientist
## 330       2023                           Data Scientist
## 331       2023                         Research Analyst
## 332       2023                         Research Analyst
## 333       2023                            Data Engineer
## 334       2023                            Data Engineer
## 335       2023                             Data Analyst
## 336       2023                             Data Analyst
## 337       2023                       Research Scientist
## 338       2023                       Research Scientist
## 339       2023                Machine Learning Engineer
## 340       2023                Machine Learning Engineer
## 341       2023                             Data Analyst
## 342       2023                             Data Analyst
## 343       2023                            Data Engineer
## 344       2023                            Data Engineer
## 345       2023                           Data Scientist
## 346       2023                           Data Scientist
## 347       2023                           Data Scientist
## 348       2023                           Data Scientist
## 349       2023                            Data Engineer
## 350       2023                            Data Engineer
## 351       2023                            Data Engineer
## 352       2023                            Data Engineer
## 353       2023                             Data Analyst
## 354       2023                             Data Analyst
## 355       2023            Business Intelligence Analyst
## 356       2023            Business Intelligence Analyst
## 357       2023              Machine Learning Researcher
## 358       2023              Machine Learning Researcher
## 359       2023              Machine Learning Researcher
## 360       2023              Machine Learning Researcher
## 361       2023                              AI Engineer
## 362       2023                              AI Engineer
## 363       2023                            Data Engineer
## 364       2023                            Data Engineer
## 365       2023                            Data Engineer
## 366       2023                            Data Engineer
## 367       2023                            Data Engineer
## 368       2023                            Data Engineer
## 369       2023                           Data Scientist
## 370       2023                           Data Scientist
## 371       2023                             Data Analyst
## 372       2023                             Data Analyst
## 373       2023                           Data Scientist
## 374       2023                           Data Scientist
## 375       2023                           Data Architect
## 376       2023                           Data Architect
## 377       2023                            Data Engineer
## 378       2023                            Data Engineer
## 379       2023                            Data Engineer
## 380       2023                            Data Engineer
## 381       2023                       Research Scientist
## 382       2023                       Research Scientist
## 383       2023                Machine Learning Engineer
## 384       2023                Machine Learning Engineer
## 385       2023                            Data Engineer
## 386       2023                            Data Engineer
## 387       2023                           Data Scientist
## 388       2023                           Data Scientist
## 389       2023                           Data Scientist
## 390       2023                            Data Engineer
## 391       2023                            Data Engineer
## 392       2023                             Data Manager
## 393       2023                             Data Manager
## 394       2023                              ML Engineer
## 395       2023                              ML Engineer
## 396       2023                        Applied Scientist
## 397       2023                        Applied Scientist
## 398       2023                       Analytics Engineer
## 399       2023                       Analytics Engineer
## 400       2023                           Data Scientist
## 401       2023                           Data Scientist
## 402       2023                Machine Learning Engineer
## 403       2023                Machine Learning Engineer
## 404       2023                Machine Learning Engineer
## 405       2023                Machine Learning Engineer
## 406       2023                    Data Science Director
## 407       2023                    Data Science Director
## 408       2023                        Research Engineer
## 409       2023                        Research Engineer
## 410       2023                           Data Architect
## 411       2023                           Data Architect
## 412       2023                       Analytics Engineer
## 413       2023                       Analytics Engineer
## 414       2023                           Data Scientist
## 415       2023                           Data Scientist
## 416       2023                              ML Engineer
## 417       2023                              ML Engineer
## 418       2023                            Data Engineer
## 419       2023                            Data Engineer
## 420       2023                             Data Analyst
## 421       2023                             Data Analyst
## 422       2023                           Data Scientist
## 423       2023                           Data Scientist
## 424       2023                           Data Scientist
## 425       2023                           Data Scientist
## 426       2023                        Research Engineer
## 427       2023                        Research Engineer
## 428       2023                            Data Engineer
## 429       2023                            Data Engineer
## 430       2023                           Data Scientist
## 431       2023                           Data Scientist
## 432       2023                              ML Engineer
## 433       2023                              ML Engineer
## 434       2023                           Data Scientist
## 435       2023                           Data Scientist
## 436       2023                            Data Engineer
## 437       2023                            Data Engineer
## 438       2023           Business Intelligence Engineer
## 439       2023           Business Intelligence Engineer
## 440       2023                        Research Engineer
## 441       2023                        Research Engineer
## 442       2023                           Data Scientist
## 443       2023                           Data Scientist
## 444       2023                           Data Scientist
## 445       2023                           Data Scientist
## 446       2023                           Data Scientist
## 447       2023                           Data Scientist
## 448       2023                         Research Analyst
## 449       2023                         Research Analyst
## 450       2023                           Data Scientist
## 451       2023                           Data Scientist
## 452       2023                            Data Engineer
## 453       2023                            Data Engineer
## 454       2023                        Research Engineer
## 455       2023                        Research Engineer
## 456       2023                        Applied Scientist
## 457       2023                        Applied Scientist
## 458       2023                           Data Architect
## 459       2023                           Data Architect
## 460       2023                           Data Scientist
## 461       2023                           Data Scientist
## 462       2023                           Data Scientist
## 463       2023                           Data Scientist
## 464       2023                Machine Learning Engineer
## 465       2023                Machine Learning Engineer
## 466       2023                            Data Engineer
## 467       2023                            Data Engineer
## 468       2023                Machine Learning Engineer
## 469       2023                Machine Learning Engineer
## 470       2023                             Data Analyst
## 471       2023                             Data Analyst
## 472       2023           Business Intelligence Engineer
## 473       2023           Business Intelligence Engineer
## 474       2023                           Data Scientist
## 475       2023                           Data Scientist
## 476       2023                           Data Scientist
## 477       2023                           Data Scientist
## 478       2023                            Data Engineer
## 479       2023                            Data Engineer
## 480       2023                           Data Scientist
## 481       2023                           Data Scientist
## 482       2023                             Data Analyst
## 483       2023                             Data Analyst
## 484       2023                            Data Engineer
## 485       2023                            Data Engineer
## 486       2023                        Applied Scientist
## 487       2023                        Applied Scientist
## 488       2023                            Data Engineer
## 489       2023                            Data Engineer
## 490       2023                Machine Learning Engineer
## 491       2023                Machine Learning Engineer
## 492       2023                             Data Analyst
## 493       2023                             Data Analyst
## 494       2023                             Data Analyst
## 495       2023                             Data Analyst
## 496       2023                            Data Engineer
## 497       2023                            Data Engineer
## 498       2023                             Data Analyst
## 499       2023                             Data Analyst
## 500       2023                             Data Analyst
## 501       2023                             Data Analyst
## 502       2023                       Analytics Engineer
## 503       2023                       Analytics Engineer
## 504       2023                            Data Engineer
## 505       2023                            Data Engineer
## 506       2023                Machine Learning Engineer
## 507       2023                Machine Learning Engineer
## 508       2023                             Data Analyst
## 509       2023                             Data Analyst
## 510       2023                            Data Engineer
## 511       2023                            Data Engineer
## 512       2023                           Data Scientist
## 513       2023                           Data Scientist
## 514       2023                           Data Scientist
## 515       2023                           Data Scientist
## 516       2023                              ML Engineer
## 517       2023                              ML Engineer
## 518       2023                Machine Learning Engineer
## 519       2023                Machine Learning Engineer
## 520       2023                           Data Scientist
## 521       2023                           Data Scientist
## 522       2023                Machine Learning Engineer
## 523       2023                Machine Learning Engineer
## 524       2023                             Head of Data
## 525       2023                             Head of Data
## 526       2023                       Research Scientist
## 527       2023                       Research Scientist
## 528       2023                               BI Analyst
## 529       2023                               BI Analyst
## 530       2023                Machine Learning Engineer
## 531       2023                Machine Learning Engineer
## 532       2023                           Data Scientist
## 533       2023                           Data Scientist
## 534       2023                           Data Scientist
## 535       2023                           Data Scientist
## 536       2023                           Data Scientist
## 537       2023                           Data Scientist
## 538       2023                       Research Scientist
## 539       2023                       Research Scientist
## 540       2023               Machine Learning Scientist
## 541       2023               Machine Learning Scientist
## 542       2023                           Data Scientist
## 543       2023                           Data Scientist
## 544       2023                           Data Scientist
## 545       2023                           Data Scientist
## 546       2023                             Data Analyst
## 547       2023                             Data Analyst
## 548       2023                           Data Scientist
## 549       2023                           Data Scientist
## 550       2023                            Data Engineer
## 551       2023                            Data Engineer
## 552       2023                           Data Scientist
## 553       2023                           Data Scientist
## 554       2023                               BI Analyst
## 555       2023                               BI Analyst
## 556       2023                           Data Scientist
## 557       2023                           Data Scientist
## 558       2023                           Data Scientist
## 559       2023                           Data Scientist
## 560       2023                           Data Scientist
## 561       2023                           Data Scientist
## 562       2023                             Data Analyst
## 563       2023                             Data Analyst
## 564       2023                           Data Scientist
## 565       2023                         Research Analyst
## 566       2023                            Data Engineer
## 567       2023                            Data Engineer
## 568       2023                  Data Management Analyst
## 569       2023                  Data Management Analyst
## 570       2023                Machine Learning Engineer
## 571       2023                Machine Learning Engineer
## 572       2023                           Data Scientist
## 573       2023                           Data Scientist
## 574       2023            Business Intelligence Analyst
## 575       2023            Business Intelligence Analyst
## 576       2023                 Machine Learning Modeler
## 577       2023                 Machine Learning Modeler
## 578       2023                           Data Scientist
## 579       2023                           Data Scientist
## 580       2023                           Data Scientist
## 581       2023                           Data Scientist
## 582       2023                Machine Learning Engineer
## 583       2023                Machine Learning Engineer
## 584       2023           Business Intelligence Engineer
## 585       2023           Business Intelligence Engineer
## 586       2023                        Applied Scientist
## 587       2023                        Applied Scientist
## 588       2023                            Data Engineer
## 589       2023                            Data Engineer
## 590       2023                Machine Learning Engineer
## 591       2023                Machine Learning Engineer
## 592       2023                Machine Learning Engineer
## 593       2023                Machine Learning Engineer
## 594       2023                         Research Analyst
## 595       2023                         Research Analyst
## 596       2023                        Applied Scientist
## 597       2023                        Applied Scientist
## 598       2023                Machine Learning Engineer
## 599       2023                Machine Learning Engineer
## 600       2023                             Data Analyst
## 601       2023                             Data Analyst
## 602       2023                Machine Learning Engineer
## 603       2023                Machine Learning Engineer
## 604       2023                       Analytics Engineer
## 605       2023                       Analytics Engineer
## 606       2023                               BI Analyst
## 607       2023                               BI Analyst
## 608       2023                              AI Engineer
## 609       2023                           Data Scientist
## 610       2023                           Data Scientist
## 611       2023                  Data Science Consultant
## 612       2023                             Data Analyst
## 613       2023                             Data Analyst
## 614       2023                           Data Architect
## 615       2023                           Data Architect
## 616       2023                       Research Scientist
## 617       2023                       Research Scientist
## 618       2023                           Data Scientist
## 619       2023                           Data Scientist
## 620       2023                    Data Science Director
## 621       2023                    Data Science Director
## 622       2023           Business Intelligence Engineer
## 623       2023           Business Intelligence Engineer
## 624       2023                Machine Learning Engineer
## 625       2023                Machine Learning Engineer
## 626       2023                          Data Specialist
## 627       2023                          Data Specialist
## 628       2023                Machine Learning Engineer
## 629       2023                Machine Learning Engineer
## 630       2023                           Data Scientist
## 631       2023                           Data Scientist
## 632       2023                              ML Engineer
## 633       2023                              ML Engineer
## 634       2023                            Data Engineer
## 635       2023                            Data Engineer
## 636       2023                             Data Analyst
## 637       2023                             Data Analyst
## 638       2023                            Data Engineer
## 639       2023                            Data Engineer
## 640       2023                           Data Architect
## 641       2023                           Data Architect
## 642       2023                             Data Analyst
## 643       2023                             Data Analyst
## 644       2023                             Data Analyst
## 645       2023                             Data Analyst
## 646       2023                Machine Learning Engineer
## 647       2023                Machine Learning Engineer
## 648       2023                           Data Scientist
## 649       2023                           Data Scientist
## 650       2023                             Data Analyst
## 651       2023                             Data Analyst
## 652       2023                     Data Product Manager
## 653       2023                     Data Product Manager
## 654       2023                             Data Analyst
## 655       2023                             Data Analyst
## 656       2023                             Data Analyst
## 657       2023                             Data Analyst
## 658       2023                       Analytics Engineer
## 659       2023                       Analytics Engineer
## 660       2023                Machine Learning Engineer
## 661       2023                Machine Learning Engineer
## 662       2023                           Data Scientist
## 663       2023                           Data Scientist
## 664       2023                          BI Data Analyst
## 665       2023                           Data Scientist
## 666       2023                           Data Scientist
## 667       2023                Machine Learning Engineer
## 668       2023                Machine Learning Engineer
## 669       2023                            Data Engineer
## 670       2023                            Data Engineer
## 671       2023                           Data Architect
## 672       2023                           Data Architect
## 673       2023                Machine Learning Engineer
## 674       2023                Machine Learning Engineer
## 675       2023                           Data Scientist
## 676       2023                           Data Scientist
## 677       2023                           Data Scientist
## 678       2023                           Data Scientist
## 679       2023                Machine Learning Engineer
## 680       2023                Machine Learning Engineer
## 681       2023                           Data Scientist
## 682       2023                           Data Scientist
## 683       2023                           Data Scientist
## 684       2023                           Data Scientist
## 685       2023                            Data Engineer
## 686       2023                            Data Engineer
## 687       2023                            Data Engineer
## 688       2023                            Data Engineer
## 689       2023                            Data Engineer
## 690       2023                            Data Engineer
## 691       2023                Machine Learning Engineer
## 692       2023                Machine Learning Engineer
## 693       2023                             Data Analyst
## 694       2023                             Data Analyst
## 695       2023                           Data Scientist
## 696       2023                           Data Scientist
## 697       2023                           Data Scientist
## 698       2023                           Data Scientist
## 699       2023                             Data Analyst
## 700       2023                             Data Analyst
## 701       2023                             Data Analyst
## 702       2023                             Data Analyst
## 703       2023                           Data Scientist
## 704       2023                           Data Scientist
## 705       2023                             Data Analyst
## 706       2023                             Data Analyst
## 707       2023                             Data Analyst
## 708       2023                             Data Analyst
## 709       2023                           Data Scientist
## 710       2023                           Data Scientist
## 711       2023                             Data Analyst
## 712       2023                             Data Analyst
## 713       2023           Business Intelligence Engineer
## 714       2023           Business Intelligence Engineer
## 715       2023                Machine Learning Engineer
## 716       2023                Machine Learning Engineer
## 717       2023                            Data Engineer
## 718       2023                            Data Engineer
## 719       2023                             Data Analyst
## 720       2023                             Data Analyst
## 721       2023                       Analytics Engineer
## 722       2023                       Analytics Engineer
## 723       2023                       Research Scientist
## 724       2023                       Research Scientist
## 725       2023                           Data Scientist
## 726       2023                           Data Scientist
## 727       2023                           Data Scientist
## 728       2023                           Data Scientist
## 729       2023                            Data Engineer
## 730       2023                            Data Engineer
## 731       2023                           Data Scientist
## 732       2023                           Data Scientist
## 733       2023                            Data Engineer
## 734       2023                            Data Engineer
## 735       2023                            Data Engineer
## 736       2023                            Data Engineer
## 737       2023                            Data Engineer
## 738       2023                            Data Engineer
## 739       2023                             Data Analyst
## 740       2023                             Data Analyst
## 741       2023                Data Integration Engineer
## 742       2023                Data Integration Engineer
## 743       2023                             Data Analyst
## 744       2023                             Data Analyst
## 745       2023                           Data Scientist
## 746       2023                           Data Scientist
## 747       2023                             Data Analyst
## 748       2023                             Data Analyst
## 749       2023                           Data Scientist
## 750       2023                           Data Scientist
## 751       2023                Machine Learning Engineer
## 752       2023                Machine Learning Engineer
## 753       2023                       Analytics Engineer
## 754       2023                       Analytics Engineer
## 755       2023                              AI Engineer
## 756       2023                              AI Engineer
## 757       2023                        Applied Scientist
## 758       2023                        Applied Scientist
## 759       2023                           Data Scientist
## 760       2023                           Data Scientist
## 761       2023           Business Intelligence Engineer
## 762       2023           Business Intelligence Engineer
## 763       2023                Machine Learning Engineer
## 764       2023                Machine Learning Engineer
## 765       2023                            Data Engineer
## 766       2023                            Data Engineer
## 767       2023           Business Intelligence Engineer
## 768       2023           Business Intelligence Engineer
## 769       2023                            Data Engineer
## 770       2023                            Data Engineer
## 771       2023                             Data Analyst
## 772       2023                             Data Analyst
## 773       2023                            Data Engineer
## 774       2023                            Data Engineer
## 775       2023               Machine Learning Scientist
## 776       2023               Machine Learning Scientist
## 777       2023                           Data Scientist
## 778       2023                           Data Scientist
## 779       2023           Business Intelligence Engineer
## 780       2023           Business Intelligence Engineer
## 781       2023                       Research Scientist
## 782       2023                       Research Scientist
## 783       2023                             BI Developer
## 784       2023                             BI Developer
## 785       2023            Business Intelligence Manager
## 786       2023            Business Intelligence Manager
## 787       2023                             Data Analyst
## 788       2023                             Data Analyst
## 789       2023                             Data Analyst
## 790       2023                             Data Analyst
## 791       2023                           Data Scientist
## 792       2023                           Data Scientist
## 793       2023                            Data Engineer
## 794       2023                            Data Engineer
## 795       2023                       Research Scientist
## 796       2023                       Research Scientist
## 797       2023                            Data Engineer
## 798       2023                            Data Engineer
## 799       2023                Machine Learning Engineer
## 800       2023                Machine Learning Engineer
## 801       2023                       Analytics Engineer
## 802       2023                       Analytics Engineer
## 803       2023                            Data Engineer
## 804       2023                            Data Engineer
## 805       2023                           Data Scientist
## 806       2023                           Data Scientist
## 807       2023                            Data Engineer
## 808       2023                            Data Engineer
## 809       2023                           Data Architect
## 810       2023                           Data Architect
## 811       2023                       Research Scientist
## 812       2023                       Research Scientist
## 813       2023                       Analytics Engineer
## 814       2023                       Analytics Engineer
## 815       2023              Data Integration Specialist
## 816       2023              Data Integration Specialist
## 817       2023                           Data Scientist
## 818       2023                           Data Scientist
## 819       2023           Business Intelligence Engineer
## 820       2023           Business Intelligence Engineer
## 821       2023                        Applied Scientist
## 822       2023                        Applied Scientist
## 823       2023                        Applied Scientist
## 824       2023                        Applied Scientist
## 825       2023                            Data Engineer
## 826       2023                            Data Engineer
## 827       2023                       Research Scientist
## 828       2023                       Research Scientist
## 829       2023                Data Science Practitioner
## 830       2023                Data Science Practitioner
## 831       2023                       Analytics Engineer
## 832       2023                       Analytics Engineer
## 833       2023                           Data Scientist
## 834       2023                           Data Scientist
## 835       2023                           Data Scientist
## 836       2023                           Data Scientist
## 837       2023                Machine Learning Engineer
## 838       2023                Machine Learning Engineer
## 839       2023                           Data Scientist
## 840       2023                           Data Scientist
## 841       2023                        Applied Scientist
## 842       2023                        Applied Scientist
## 843       2023                        Applied Scientist
## 844       2023                        Applied Scientist
## 845       2023                        Applied Scientist
## 846       2023                        Applied Scientist
## 847       2023                             Data Analyst
## 848       2023                             Data Analyst
## 849       2023                            Data Engineer
## 850       2023                            Data Engineer
## 851       2023                        Research Engineer
## 852       2023                        Research Engineer
## 853       2023                           Data Architect
## 854       2023                           Data Architect
## 855       2023                            Data Engineer
## 856       2023                            Data Engineer
## 857       2023                Machine Learning Engineer
## 858       2023                Machine Learning Engineer
## 859       2023                             Data Analyst
## 860       2023                             Data Analyst
## 861       2023                        Applied Scientist
## 862       2023                        Applied Scientist
## 863       2023                            Data Engineer
## 864       2023                            Data Engineer
## 865       2023                           Data Scientist
## 866       2023                           Data Scientist
## 867       2023                           Data Scientist
## 868       2023                           Data Scientist
## 869       2023                             Data Analyst
## 870       2023                             Data Analyst
## 871       2023                             Data Analyst
## 872       2023                             Data Analyst
## 873       2023                             Data Analyst
## 874       2023                             Data Analyst
## 875       2023            Business Intelligence Analyst
## 876       2023            Business Intelligence Analyst
## 877       2023                Machine Learning Engineer
## 878       2023                Machine Learning Engineer
## 879       2023                            Data Engineer
## 880       2023                            Data Engineer
## 881       2023          Business Intelligence Developer
## 882       2023          Business Intelligence Developer
## 883       2023                           Data Scientist
## 884       2023                           Data Scientist
## 885       2023                Machine Learning Engineer
## 886       2023                Machine Learning Engineer
## 887       2023           Business Intelligence Engineer
## 888       2023           Business Intelligence Engineer
## 889       2023                           Data Architect
## 890       2023                           Data Architect
## 891       2023                             Data Analyst
## 892       2023                             Data Analyst
## 893       2023                            Data Engineer
## 894       2023                            Data Engineer
## 895       2023                             Data Analyst
## 896       2023                             Data Analyst
## 897       2023                            Data Engineer
## 898       2023                            Data Engineer
## 899       2023                             Data Analyst
## 900       2023                             Data Analyst
## 901       2023                             Data Analyst
## 902       2023                             Data Analyst
## 903       2023                             Data Analyst
## 904       2023                             Data Analyst
## 905       2023                           Data Architect
## 906       2023                           Data Architect
## 907       2023                           Data Scientist
## 908       2023                           Data Scientist
## 909       2023                       Analytics Engineer
## 910       2023                       Analytics Engineer
## 911       2023                           Data Scientist
## 912       2023                           Data Scientist
## 913       2023                             Data Analyst
## 914       2023                             Data Analyst
## 915       2023                       Analytics Engineer
## 916       2022                     AI Research Engineer
## 917       2023                Machine Learning Engineer
## 918       2023                Machine Learning Engineer
## 919       2023                           Data Scientist
## 920       2023                           Data Scientist
## 921       2023                Machine Learning Engineer
## 922       2023                Machine Learning Engineer
## 923       2023                           Data Scientist
## 924       2023                           Data Scientist
## 925       2023                             Data Analyst
## 926       2023                             Data Analyst
## 927       2023                           Data Scientist
## 928       2023                           Data Scientist
## 929       2023                  Data Science Consultant
## 930       2023                  Data Science Consultant
## 931       2023                           Data Scientist
## 932       2023                           Data Scientist
## 933       2023                              ML Engineer
## 934       2023                              ML Engineer
## 935       2023                       Research Scientist
## 936       2023                       Research Scientist
## 937       2023                       Research Scientist
## 938       2023                       Research Scientist
## 939       2023                                Data Lead
## 940       2023                                Data Lead
## 941       2023                           Data Scientist
## 942       2023                           Data Scientist
## 943       2023                       Research Scientist
## 944       2023                       Research Scientist
## 945       2023                             Head of Data
## 946       2023                             Head of Data
## 947       2023                              ML Engineer
## 948       2023                              ML Engineer
## 949       2023                            Data Engineer
## 950       2023                            Data Engineer
## 951       2023                       Research Scientist
## 952       2023                       Research Scientist
## 953       2023                             Data Analyst
## 954       2023                             Data Analyst
## 955       2023                       Research Scientist
## 956       2023                       Research Scientist
## 957       2023                              AI Engineer
## 958       2023                           Data Scientist
## 959       2023                           Data Scientist
## 960       2023            Business Intelligence Analyst
## 961       2023            Business Intelligence Analyst
## 962       2023                           Data Scientist
## 963       2023                           Data Scientist
## 964       2023                             Data Analyst
## 965       2023                             Data Analyst
## 966       2023           Business Intelligence Engineer
## 967       2023           Business Intelligence Engineer
## 968       2023                Machine Learning Engineer
## 969       2023                Machine Learning Engineer
## 970       2023                           Data Scientist
## 971       2023                           Data Scientist
## 972       2023                            Data Engineer
## 973       2023                            Data Engineer
## 974       2023                            Data Engineer
## 975       2023                            Data Engineer
## 976       2023                             Data Analyst
## 977       2023                             Data Analyst
## 978       2023                Machine Learning Engineer
## 979       2023                Machine Learning Engineer
## 980       2023           Business Intelligence Engineer
## 981       2023           Business Intelligence Engineer
## 982       2023                           Data Scientist
## 983       2023                           Data Scientist
## 984       2023                           Data Scientist
## 985       2023                           Data Scientist
## 986       2023                       Analytics Engineer
## 987       2023                       Analytics Engineer
## 988       2023                Machine Learning Engineer
## 989       2023                Machine Learning Engineer
## 990       2023                           Data Architect
## 991       2023                           Data Architect
## 992       2023                             Data Analyst
## 993       2023                             Data Analyst
## 994       2023                        Applied Scientist
## 995       2023                        Applied Scientist
## 996       2023                           Data Scientist
## 997       2023                           Data Scientist
## 998       2023                            Data Engineer
## 999       2023                            Data Engineer
## 1000      2023            Business Intelligence Analyst
## 1001      2023            Business Intelligence Analyst
## 1002      2023                             Data Analyst
## 1003      2023                             Data Analyst
## 1004      2023                     Data Product Manager
## 1005      2023                     Data Product Manager
## 1006      2023                            Data Engineer
## 1007      2023                            Data Engineer
## 1008      2023               Data Management Specialist
## 1009      2023               Data Management Specialist
## 1010      2023                              ML Engineer
## 1011      2023                              ML Engineer
## 1012      2023                           Data Scientist
## 1013      2023                           Data Scientist
## 1014      2023                Machine Learning Engineer
## 1015      2023                Machine Learning Engineer
## 1016      2023                             Data Analyst
## 1017      2023                             Data Analyst
## 1018      2023                            Data Engineer
## 1019      2023                            Data Engineer
## 1020      2023                Machine Learning Engineer
## 1021      2023                Machine Learning Engineer
## 1022      2023                Machine Learning Engineer
## 1023      2023                Machine Learning Engineer
## 1024      2023                             AI Developer
## 1025      2023                             AI Developer
## 1026      2023                            Data Engineer
## 1027      2023                            Data Engineer
## 1028      2023                            Data Engineer
## 1029      2023                            Data Engineer
## 1030      2023                           Data Architect
## 1031      2023                           Data Architect
## 1032      2023                              AI Engineer
## 1033      2023                              AI Engineer
## 1034      2023                           Data Scientist
## 1035      2023                           Data Scientist
## 1036      2023                             Data Analyst
## 1037      2023                             Data Analyst
## 1038      2023                           Data Scientist
## 1039      2023                           Data Scientist
## 1040      2023                            Data Engineer
## 1041      2023                            Data Engineer
## 1042      2023                            Data Engineer
## 1043      2023                            Data Engineer
## 1044      2023                             Data Manager
## 1045      2023                             Data Manager
## 1046      2023                            Data Engineer
## 1047      2023                            Data Engineer
## 1048      2023                           Data Scientist
## 1049      2023                           Data Scientist
## 1050      2023                             AI Architect
## 1051      2023                             AI Architect
## 1052      2023            Business Intelligence Analyst
## 1053      2023            Business Intelligence Analyst
## 1054      2023                           MLOps Engineer
## 1055      2023                           MLOps Engineer
## 1056      2023                           Data Scientist
## 1057      2023                           Data Scientist
## 1058      2023                       Analytics Engineer
## 1059      2023                       Analytics Engineer
## 1060      2023                           Data Scientist
## 1061      2023                           Data Scientist
## 1062      2023                            Data Engineer
## 1063      2023                            Data Engineer
## 1064      2023           Business Intelligence Engineer
## 1065      2023           Business Intelligence Engineer
## 1066      2023                     Data Science Manager
## 1067      2023                     Data Science Manager
## 1068      2023                            Data Engineer
## 1069      2023                            Data Engineer
## 1070      2023                Machine Learning Engineer
## 1071      2023                Machine Learning Engineer
## 1072      2023            Business Intelligence Analyst
## 1073      2023            Business Intelligence Analyst
## 1074      2023                             BI Developer
## 1075      2023                             BI Developer
## 1076      2023                            Data Engineer
## 1077      2023                            Data Engineer
## 1078      2023                          Data Strategist
## 1079      2023                          Data Strategist
## 1080      2023                            Data Engineer
## 1081      2023                            Data Engineer
## 1082      2023                             Data Analyst
## 1083      2023                             Data Analyst
## 1084      2023                       Analytics Engineer
## 1085      2023                       Analytics Engineer
## 1086      2023                           Data Scientist
## 1087      2023                           Data Scientist
## 1088      2023                           Data Scientist
## 1089      2023                           Data Scientist
## 1090      2023                             Data Analyst
## 1091      2023                             Data Analyst
## 1092      2023                Machine Learning Engineer
## 1093      2023                Machine Learning Engineer
## 1094      2023                            Data Engineer
## 1095      2023                            Data Engineer
## 1096      2023                           Data Scientist
## 1097      2023                           Data Scientist
## 1098      2023           Business Intelligence Engineer
## 1099      2023           Business Intelligence Engineer
## 1100      2023                             Data Analyst
## 1101      2023                             Data Analyst
## 1102      2023                             Data Analyst
## 1103      2023                             Data Analyst
## 1104      2023                           Data Scientist
## 1105      2023                           Data Scientist
## 1106      2023                Machine Learning Engineer
## 1107      2023                Machine Learning Engineer
## 1108      2023                            Data Engineer
## 1109      2023                            Data Engineer
## 1110      2023                Machine Learning Engineer
## 1111      2023                Machine Learning Engineer
## 1112      2023                           Data Scientist
## 1113      2023                           Data Scientist
## 1114      2023                            Data Engineer
## 1115      2023                            Data Engineer
## 1116      2023         Business Intelligence Specialist
## 1117      2023         Business Intelligence Specialist
## 1118      2023 Machine Learning Infrastructure Engineer
## 1119      2023 Machine Learning Infrastructure Engineer
## 1120      2023                       Research Scientist
## 1121      2023                       Research Scientist
## 1122      2023                            Data Engineer
## 1123      2023                            Data Engineer
## 1124      2023                           Data Scientist
## 1125      2023                           Data Scientist
## 1126      2023                            Data Engineer
## 1127      2023                            Data Engineer
## 1128      2023                         Research Analyst
## 1129      2023                         Research Analyst
## 1130      2023                    Data Quality Engineer
## 1131      2023                    Data Quality Engineer
## 1132      2023                            Data Engineer
## 1133      2023                            Data Engineer
## 1134      2023                        Applied Scientist
## 1135      2023                        Applied Scientist
## 1136      2023                             Data Analyst
## 1137      2023                             Data Analyst
## 1138      2023                            Data Engineer
## 1139      2023                            Data Engineer
## 1140      2023                            Data Engineer
## 1141      2023                            Data Engineer
## 1142      2023                 Director of Data Science
## 1143      2023                 Director of Data Science
## 1144      2023                           Data Scientist
## 1145      2023                           Data Scientist
## 1146      2023                           Data Scientist
## 1147      2023                           Data Scientist
## 1148      2023                             Data Analyst
## 1149      2023                             Data Analyst
## 1150      2023                            Data Engineer
## 1151      2023                            Data Engineer
## 1152      2023                             BI Developer
## 1153      2023                             BI Developer
## 1154      2023                    Business Data Analyst
## 1155      2023            Business Intelligence Analyst
## 1156      2023            Business Intelligence Analyst
## 1157      2023                        Applied Scientist
## 1158      2023                        Applied Scientist
## 1159      2023                          Data Specialist
## 1160      2023                          Data Specialist
## 1161      2023                Machine Learning Engineer
## 1162      2023                Machine Learning Engineer
## 1163      2023                             Data Analyst
## 1164      2023                             Data Analyst
## 1165      2023                Machine Learning Engineer
## 1166      2023                Machine Learning Engineer
## 1167      2023                             Data Analyst
## 1168      2023                             Data Analyst
## 1169      2023                           Data Scientist
## 1170      2023                           Data Scientist
## 1171      2023                            Data Engineer
## 1172      2023                            Data Engineer
## 1173      2023                           Data Scientist
## 1174      2023                           Data Scientist
## 1175      2023                           Data Scientist
## 1176      2023                           Data Scientist
## 1177      2023                            Data Engineer
## 1178      2023                            Data Engineer
## 1179      2023                            Data Engineer
## 1180      2023                            Data Engineer
## 1181      2023                            Data Engineer
## 1182      2023                            Data Engineer
## 1183      2023                            Data Engineer
## 1184      2023                            Data Engineer
## 1185      2023                Machine Learning Engineer
## 1186      2023                Machine Learning Engineer
## 1187      2023                Machine Learning Engineer
## 1188      2023                Machine Learning Engineer
## 1189      2023                Machine Learning Engineer
## 1190      2023                Machine Learning Engineer
## 1191      2023                            Data Engineer
## 1192      2023                            Data Engineer
## 1193      2023                            Data Engineer
## 1194      2023                            Data Engineer
## 1195      2023                             Data Analyst
## 1196      2023                             Data Analyst
## 1197      2023                Machine Learning Engineer
## 1198      2023                Machine Learning Engineer
## 1199      2023                              ML Engineer
## 1200      2023                           Data Scientist
## 1201      2023                           Data Scientist
## 1202      2023                            Data Engineer
## 1203      2023                            Data Engineer
## 1204      2023                                Data Lead
## 1205      2023                                Data Lead
## 1206      2023                           Data Scientist
## 1207      2023                           Data Scientist
## 1208      2023                             Data Analyst
## 1209      2023                             Data Analyst
## 1210      2023                Machine Learning Engineer
## 1211      2023                Machine Learning Engineer
## 1212      2023                            Data Engineer
## 1213      2023                            Data Engineer
## 1214      2023                           Data Scientist
## 1215      2023                           Data Scientist
## 1216      2023                             Data Analyst
## 1217      2023                             Data Analyst
## 1218      2023                            Data Engineer
## 1219      2023                            Data Engineer
## 1220      2023                           Data Scientist
## 1221      2023                           Data Scientist
## 1222      2023                        Applied Scientist
## 1223      2023                        Applied Scientist
## 1224      2023                Machine Learning Engineer
## 1225      2023                Machine Learning Engineer
## 1226      2023                           Data Scientist
## 1227      2023                           Data Scientist
## 1228      2023                           Data Scientist
## 1229      2023                           Data Scientist
## 1230      2023                        Research Engineer
## 1231      2023                        Research Engineer
## 1232      2023                           Data Scientist
## 1233      2023                           Data Scientist
## 1234      2023                        Applied Scientist
## 1235      2023                        Applied Scientist
## 1236      2023                Machine Learning Engineer
## 1237      2023                Machine Learning Engineer
## 1238      2023                            Data Engineer
## 1239      2023                            Data Engineer
## 1240      2023                           Data Scientist
## 1241      2023                           Data Scientist
## 1242      2023         Business Intelligence Specialist
## 1243      2023         Business Intelligence Specialist
## 1244      2023                            Data Engineer
## 1245      2023                            Data Engineer
## 1246      2023                             Data Analyst
## 1247      2023                             Data Analyst
## 1248      2023                            Data Engineer
## 1249      2023                            Data Engineer
## 1250      2023                            Data Engineer
## 1251      2023                            Data Engineer
## 1252      2023            Business Intelligence Analyst
## 1253      2023            Business Intelligence Analyst
## 1254      2023                Machine Learning Engineer
## 1255      2023                Machine Learning Engineer
## 1256      2023                           Data Scientist
## 1257      2023                           Data Scientist
## 1258      2023                     Data Quality Analyst
## 1259      2023                     Data Quality Analyst
## 1260      2023                            Data Engineer
## 1261      2023                            Data Engineer
## 1262      2023                             Data Analyst
## 1263      2023                             Data Analyst
## 1264      2023           Business Intelligence Engineer
## 1265      2023           Business Intelligence Engineer
## 1266      2023                             Data Analyst
## 1267      2023                             Data Analyst
## 1268      2023                             Data Analyst
## 1269      2023                             Data Analyst
## 1270      2023                            Data Engineer
## 1271      2023                            Data Engineer
## 1272      2023                           Data Scientist
## 1273      2023                           Data Scientist
## 1274      2023           Business Intelligence Engineer
## 1275      2023           Business Intelligence Engineer
## 1276      2023                Machine Learning Engineer
## 1277      2023                Machine Learning Engineer
## 1278      2023                            Data Engineer
## 1279      2023                            Data Engineer
## 1280      2023                           Data Scientist
## 1281      2023                           Data Scientist
## 1282      2023                        Research Engineer
## 1283      2023                        Research Engineer
## 1284      2023                            Data Engineer
## 1285      2023                            Data Engineer
## 1286      2023                        Applied Scientist
## 1287      2023                        Applied Scientist
## 1288      2023                       Research Scientist
## 1289      2023                       Research Scientist
## 1290      2023                           Data Scientist
## 1291      2023                           Data Scientist
## 1292      2023                           Data Scientist
## 1293      2023                           Data Scientist
## 1294      2023                            Data Engineer
## 1295      2023                            Data Engineer
## 1296      2023                Machine Learning Engineer
## 1297      2023                        Research Engineer
## 1298      2023                        Research Engineer
## 1299      2023                        Research Engineer
## 1300      2023                        Research Engineer
## 1301      2023                             Data Analyst
## 1302      2023                             Data Analyst
## 1303      2023                             Data Analyst
## 1304      2023                             Data Analyst
## 1305      2023                        Applied Scientist
## 1306      2023                        Applied Scientist
## 1307      2023                           Data Scientist
## 1308      2023                           Data Scientist
## 1309      2023                           Data Scientist
## 1310      2023                           Data Scientist
## 1311      2023                           Data Scientist
## 1312      2023                           Data Scientist
## 1313      2023                Machine Learning Engineer
## 1314      2023                Machine Learning Engineer
## 1315      2023                              ML Engineer
## 1316      2023                              ML Engineer
## 1317      2023                            Data Engineer
## 1318      2023                            Data Engineer
## 1319      2023                             Data Analyst
## 1320      2023                             Data Analyst
## 1321      2023                             AI Developer
## 1322      2023                Machine Learning Engineer
## 1323      2023                             BI Developer
## 1324      2023                             BI Developer
## 1325      2023                             Data Analyst
## 1326      2023                             Data Analyst
## 1327      2023                Machine Learning Engineer
## 1328      2023                Machine Learning Engineer
## 1329      2023                            Data Engineer
## 1330      2023                            Data Engineer
## 1331      2023                       Research Scientist
## 1332      2023                       Research Scientist
## 1333      2023                            Data Engineer
## 1334      2023                            Data Engineer
## 1335      2023                             Data Analyst
## 1336      2023                             Data Analyst
## 1337      2023                           Data Scientist
## 1338      2023                           Data Scientist
## 1339      2023                                Data Lead
## 1340      2023                                Data Lead
## 1341      2023                     Data Product Manager
## 1342      2023                     Data Product Manager
## 1343      2023                             Data Analyst
## 1344      2023                             Data Analyst
## 1345      2023                       Decision Scientist
## 1346      2023                       Decision Scientist
## 1347      2023                           Data Scientist
## 1348      2023                           Data Scientist
## 1349      2023                             Data Analyst
## 1350      2023                             Data Analyst
## 1351      2023                            Data Engineer
## 1352      2023                            Data Engineer
## 1353      2023                             Data Analyst
## 1354      2023                             Data Analyst
## 1355      2023                  Data Science Consultant
## 1356      2023                  Data Science Consultant
## 1357      2023                  Data Science Consultant
## 1358      2023                  Data Science Consultant
## 1359      2023                            Data Engineer
## 1360      2023                            Data Engineer
## 1361      2023                   Financial Data Analyst
## 1362      2023                              AI Engineer
## 1363      2023                           Data Scientist
## 1364      2023                           Data Scientist
## 1365      2023                Machine Learning Engineer
## 1366      2023                Machine Learning Engineer
## 1367      2023                            Data Engineer
## 1368      2023                            Data Engineer
## 1369      2023                            Data Engineer
## 1370      2023                            Data Engineer
## 1371      2023           Business Intelligence Engineer
## 1372      2023           Business Intelligence Engineer
## 1373      2023                           Data Scientist
## 1374      2023                           Data Scientist
## 1375      2023                             Data Analyst
## 1376      2023                             Data Analyst
## 1377      2023                           Data Architect
## 1378      2023                           Data Architect
## 1379      2023                           Data Scientist
## 1380      2023                           Data Scientist
## 1381      2023                           Data Scientist
## 1382      2023                           Data Scientist
## 1383      2023            Business Intelligence Analyst
## 1384      2023            Business Intelligence Analyst
## 1385      2023                        Applied Scientist
## 1386      2023                        Applied Scientist
## 1387      2023           Business Intelligence Engineer
## 1388      2023           Business Intelligence Engineer
## 1389      2023                        Applied Scientist
## 1390      2023                        Applied Scientist
## 1391      2023                            Data Engineer
## 1392      2023                            Data Engineer
## 1393      2023                            Data Engineer
## 1394      2023                            Data Engineer
## 1395      2023                             Data Analyst
## 1396      2023                             Data Analyst
## 1397      2023                           Data Scientist
## 1398      2023                           Data Scientist
## 1399      2023                             Data Analyst
## 1400      2023                             Data Analyst
## 1401      2023                Machine Learning Engineer
## 1402      2023                Machine Learning Engineer
## 1403      2023                           Data Scientist
## 1404      2023                           Data Scientist
## 1405      2023                     Data Quality Analyst
## 1406      2023                     Data Quality Analyst
## 1407      2023                            Data Engineer
## 1408      2023                            Data Engineer
## 1409      2023                           Data Architect
## 1410      2023                           Data Architect
## 1411      2023                            Data Engineer
## 1412      2023                            Data Engineer
## 1413      2023                            Data Engineer
## 1414      2023                            Data Engineer
## 1415      2023                         Research Analyst
## 1416      2023                         Research Analyst
## 1417      2023                             Data Analyst
## 1418      2023                             Data Analyst
## 1419      2023                            Data Engineer
## 1420      2023                            Data Engineer
## 1421      2023                Machine Learning Engineer
## 1422      2023                Machine Learning Engineer
## 1423      2023                            Data Engineer
## 1424      2023                            Data Engineer
## 1425      2023                    Data Science Engineer
## 1426      2023                    Data Science Engineer
## 1427      2023                Machine Learning Engineer
## 1428      2023                Machine Learning Engineer
## 1429      2023                            Data Engineer
## 1430      2023                            Data Engineer
## 1431      2023                            Data Engineer
## 1432      2023                            Data Engineer
## 1433      2023                            Data Engineer
## 1434      2023                            Data Engineer
## 1435      2023                       Analytics Engineer
## 1436      2023                       Analytics Engineer
## 1437      2023                    Data Strategy Manager
## 1438      2023                    Data Strategy Manager
## 1439      2023                            Data Engineer
## 1440      2023                            Data Engineer
## 1441      2023           Business Intelligence Engineer
## 1442      2023           Business Intelligence Engineer
## 1443      2023                             Data Analyst
## 1444      2023                             Data Analyst
## 1445      2023                             Data Analyst
## 1446      2023                             Data Analyst
## 1447      2023                            Data Engineer
## 1448      2023                            Data Engineer
## 1449      2023           Business Intelligence Engineer
## 1450      2023           Business Intelligence Engineer
## 1451      2023                             Data Manager
## 1452      2023                             Data Manager
## 1453      2023                           Data Scientist
## 1454      2023                           Data Scientist
## 1455      2023                           Data Scientist
## 1456      2023                           Data Scientist
## 1457      2023               Machine Learning Scientist
## 1458      2023               Machine Learning Scientist
## 1459      2023                       Analytics Engineer
## 1460      2023                       Analytics Engineer
## 1461      2023                           Data Architect
## 1462      2023                           Data Architect
## 1463      2023                           Data Scientist
## 1464      2023                           Data Scientist
## 1465      2023                Machine Learning Engineer
## 1466      2023                Machine Learning Engineer
## 1467      2023                Machine Learning Engineer
## 1468      2023                Machine Learning Engineer
## 1469      2023                           Data Scientist
## 1470      2023                            Data Engineer
## 1471      2023                            Data Engineer
## 1472      2023                            Data Engineer
## 1473      2023                            Data Engineer
## 1474      2023                            Data Engineer
## 1475      2023                            Data Engineer
## 1476      2023                             Data Analyst
## 1477      2023                             Data Analyst
## 1478      2023                Machine Learning Engineer
## 1479      2023                Machine Learning Engineer
## 1480      2023           Business Intelligence Engineer
## 1481      2023           Business Intelligence Engineer
## 1482      2023                            Data Engineer
## 1483      2023                            Data Engineer
## 1484      2023                             Data Manager
## 1485      2023                             Data Manager
## 1486      2023                Machine Learning Engineer
## 1487      2023                Machine Learning Engineer
## 1488      2023                            Data Engineer
## 1489      2023                            Data Engineer
## 1490      2023                Machine Learning Engineer
## 1491      2023                Machine Learning Engineer
## 1492      2023                            Data Engineer
## 1493      2023                            Data Engineer
## 1494      2023                Machine Learning Engineer
## 1495      2023                Machine Learning Engineer
## 1496      2023                           Data Scientist
## 1497      2023                           Data Scientist
## 1498      2023                             Data Manager
## 1499      2023                             Data Manager
## 1500      2023                       Research Scientist
## 1501      2023                       Research Scientist
## 1502      2023                             Data Analyst
## 1503      2023                             Data Analyst
## 1504      2023                       Analytics Engineer
## 1505      2023                       Analytics Engineer
## 1506      2023                           Data Scientist
## 1507      2023                           Data Scientist
## 1508      2023                           Data Scientist
## 1509      2023                           Data Scientist
## 1510      2023                            Data Engineer
## 1511      2023                            Data Engineer
## 1512      2023                            Data Engineer
## 1513      2023                            Data Engineer
## 1514      2023                             Data Analyst
## 1515      2023                             Data Analyst
## 1516      2023                            Data Engineer
## 1517      2023                            Data Engineer
## 1518      2023                            Data Engineer
## 1519      2023                            Data Engineer
## 1520      2023                            Data Engineer
## 1521      2023                            Data Engineer
## 1522      2023                 Computer Vision Engineer
## 1523      2023                 Computer Vision Engineer
## 1524      2023                             Data Analyst
## 1525      2023                             Data Analyst
## 1526      2023                            Data Engineer
## 1527      2023                            Data Engineer
## 1528      2023                             Data Manager
## 1529      2023                             Data Manager
## 1530      2023                Machine Learning Engineer
## 1531      2023                Machine Learning Engineer
## 1532      2023                            Data Engineer
## 1533      2023                            Data Engineer
## 1534      2023                           Data Scientist
## 1535      2023                           Data Scientist
## 1536      2023                        Applied Scientist
## 1537      2023                        Applied Scientist
## 1538      2023                        Applied Scientist
## 1539      2023                        Applied Scientist
## 1540      2023                           Data Scientist
## 1541      2023                           Data Scientist
## 1542      2023                        Applied Scientist
## 1543      2023                        Applied Scientist
## 1544      2023                           Data Scientist
## 1545      2023                           Data Scientist
## 1546      2023                       Analytics Engineer
## 1547      2023                       Analytics Engineer
## 1548      2023            Data Visualization Specialist
## 1549      2023            Data Visualization Specialist
## 1550      2023           Business Intelligence Engineer
## 1551      2023           Business Intelligence Engineer
## 1552      2023                Machine Learning Engineer
## 1553      2023                Machine Learning Engineer
## 1554      2023                            Data Engineer
## 1555      2023                            Data Engineer
## 1556      2023                           Data Scientist
## 1557      2023                           Data Scientist
## 1558      2023                           Data Scientist
## 1559      2023                           Data Scientist
## 1560      2023                       Research Scientist
## 1561      2023                       Research Scientist
## 1562      2023                Machine Learning Engineer
## 1563      2023                Machine Learning Engineer
## 1564      2023                           Data Scientist
## 1565      2023                           Data Scientist
## 1566      2023                              ML Engineer
## 1567      2023                              ML Engineer
## 1568      2023                            Data Engineer
## 1569      2023                            Data Engineer
## 1570      2023                Machine Learning Engineer
## 1571      2023                Machine Learning Engineer
## 1572      2023                        Research Engineer
## 1573      2023                        Research Engineer
## 1574      2023                     Data Science Manager
## 1575      2023                     Data Science Manager
## 1576      2023                            Data Engineer
## 1577      2023                            Data Engineer
## 1578      2023                             Data Analyst
## 1579      2023                             Data Analyst
## 1580      2023                           Data Scientist
## 1581      2023                           Data Scientist
## 1582      2023                               BI Analyst
## 1583      2023                               BI Analyst
## 1584      2023                Machine Learning Engineer
## 1585      2023                Machine Learning Engineer
## 1586      2023                           Data Scientist
## 1587      2023                           Data Scientist
## 1588      2023                           Data Scientist
## 1589      2023                           Data Scientist
## 1590      2023                       Analytics Engineer
## 1591      2023                       Analytics Engineer
## 1592      2023                         Research Analyst
## 1593      2023                         Research Analyst
## 1594      2023                         Research Analyst
## 1595      2023                         Research Analyst
## 1596      2023                Machine Learning Engineer
## 1597      2023                Machine Learning Engineer
## 1598      2023                         Research Analyst
## 1599      2023                         Research Analyst
## 1600      2023                       Research Scientist
## 1601      2023                       Research Scientist
## 1602      2023                              ML Engineer
## 1603      2023                          Insight Analyst
## 1604      2023                          Insight Analyst
## 1605      2023                             Data Analyst
## 1606      2023                             Data Analyst
## 1607      2023            Business Intelligence Analyst
## 1608      2023            Business Intelligence Analyst
## 1609      2023                           Data Scientist
## 1610      2023                           Data Scientist
## 1611      2023                            Data Engineer
## 1612      2023                            Data Engineer
## 1613      2023                           Data Scientist
## 1614      2023                           Data Scientist
## 1615      2023                            Data Engineer
## 1616      2023                            Data Engineer
## 1617      2023                       Research Scientist
## 1618      2023                       Research Scientist
## 1619      2023                              AI Engineer
## 1620      2023                              AI Engineer
## 1621      2023           Business Intelligence Engineer
## 1622      2023           Business Intelligence Engineer
## 1623      2023                     Data Science Manager
## 1624      2023                     Data Science Manager
## 1625      2023                           Data Scientist
## 1626      2023                           Data Scientist
## 1627      2023                             Data Manager
## 1628      2023                             Data Manager
## 1629      2023                           Data Scientist
## 1630      2023                           Data Scientist
## 1631      2023              Data Integration Specialist
## 1632      2023              Data Integration Specialist
## 1633      2023                           Data Scientist
## 1634      2023                           Data Scientist
## 1635      2023                             Data Analyst
## 1636      2023                             Data Analyst
## 1637      2023                             Data Analyst
## 1638      2023                             Data Analyst
## 1639      2023                            Data Engineer
## 1640      2023                            Data Engineer
## 1641      2023               Machine Learning Scientist
## 1642      2023               Machine Learning Scientist
## 1643      2023                       Research Scientist
## 1644      2023                       Research Scientist
## 1645      2023                        Research Engineer
## 1646      2023                        Research Engineer
## 1647      2023           Business Intelligence Engineer
## 1648      2023           Business Intelligence Engineer
## 1649      2023                           Data Architect
## 1650      2023                           Data Architect
## 1651      2023                           Data Scientist
## 1652      2023                           Data Scientist
## 1653      2023                            Data Engineer
## 1654      2023                            Data Engineer
## 1655      2023                             Data Analyst
## 1656      2023                             Data Analyst
## 1657      2023                            Data Engineer
## 1658      2023                            Data Engineer
## 1659      2023                             Data Analyst
## 1660      2023                             Data Analyst
## 1661      2023                             Data Analyst
## 1662      2023                             Data Analyst
## 1663      2023                            Data Engineer
## 1664      2023                            Data Engineer
## 1665      2023                           Data Scientist
## 1666      2023                           Data Scientist
## 1667      2023                           Data Scientist
## 1668      2023                           Data Scientist
## 1669      2023                Machine Learning Engineer
## 1670      2023                Machine Learning Engineer
## 1671      2023                           Data Scientist
## 1672      2023                           Data Scientist
## 1673      2023                            Data Engineer
## 1674      2023                            Data Engineer
## 1675      2023                Machine Learning Engineer
## 1676      2023                Machine Learning Engineer
## 1677      2023                Machine Learning Engineer
## 1678      2023                Machine Learning Engineer
## 1679      2023                Machine Learning Engineer
## 1680      2023                Machine Learning Engineer
## 1681      2023                Data Science Practitioner
## 1682      2023                Data Science Practitioner
## 1683      2023                Machine Learning Engineer
## 1684      2023                Machine Learning Engineer
## 1685      2023                        Applied Scientist
## 1686      2023                        Applied Scientist
## 1687      2023                Machine Learning Engineer
## 1688      2023                Machine Learning Engineer
## 1689      2023                Machine Learning Engineer
## 1690      2023                Machine Learning Engineer
## 1691      2023                           Data Scientist
## 1692      2023                           Data Scientist
## 1693      2023                           Data Scientist
## 1694      2023                           Data Scientist
## 1695      2023                Machine Learning Engineer
## 1696      2023                Machine Learning Engineer
## 1697      2023                       Research Scientist
## 1698      2023                       Research Scientist
## 1699      2023                            Data Engineer
## 1700      2023                            Data Engineer
## 1701      2023                           Data Scientist
## 1702      2023                           Data Scientist
## 1703      2023                    Data Science Engineer
## 1704      2023                    Data Science Engineer
## 1705      2023                           Data Scientist
## 1706      2023                           Data Scientist
## 1707      2023                           Data Scientist
## 1708      2023                           Data Scientist
## 1709      2023                             Data Analyst
## 1710      2023                             Data Analyst
## 1711      2023                           Data Scientist
## 1712      2023                           Data Scientist
## 1713      2023                        Applied Scientist
## 1714      2023                        Applied Scientist
## 1715      2023                        Applied Scientist
## 1716      2023                        Applied Scientist
## 1717      2023                            Data Engineer
## 1718      2023                            Data Engineer
## 1719      2023                 Director of Data Science
## 1720      2023                 Director of Data Science
## 1721      2023                             Data Analyst
## 1722      2023                             Data Analyst
## 1723      2023                Machine Learning Engineer
## 1724      2023                Machine Learning Engineer
## 1725      2023                            Data Engineer
## 1726      2023                            Data Engineer
## 1727      2023                           Data Scientist
## 1728      2023                           Data Scientist
## 1729      2023                        Applied Scientist
## 1730      2023                        Applied Scientist
## 1731      2023                           Data Scientist
## 1732      2023                           Data Scientist
## 1733      2023                           Data Scientist
## 1734      2023                           Data Scientist
## 1735      2023                             Data Manager
## 1736      2023                             Data Manager
## 1737      2023                            Data Engineer
## 1738      2023                       Research Scientist
## 1739      2023                       Research Scientist
## 1740      2023                           Data Architect
## 1741      2023                           Data Architect
## 1742      2023                           Data Scientist
## 1743      2023                           Data Scientist
## 1744      2023                           Data Scientist
## 1745      2023                           Data Scientist
## 1746      2023                Machine Learning Engineer
## 1747      2023                Machine Learning Engineer
## 1748      2023                             Data Analyst
## 1749      2023                             Data Analyst
## 1750      2023                            Data Engineer
## 1751      2023                            Data Engineer
## 1752      2023                             Data Analyst
## 1753      2023                             Data Analyst
## 1754      2023                            Data Engineer
## 1755      2023                            Data Engineer
## 1756      2023                            Data Engineer
## 1757      2023                            Data Engineer
## 1758      2023                       Analytics Engineer
## 1759      2023                       Analytics Engineer
## 1760      2023                           Data Scientist
## 1761      2023                           Data Scientist
## 1762      2023                             Data Analyst
## 1763      2023                             Data Analyst
## 1764      2023                           Data Architect
## 1765      2023                           Data Architect
## 1766      2023                Machine Learning Engineer
## 1767      2023                Machine Learning Engineer
## 1768      2023                       Analytics Engineer
## 1769      2023                       Analytics Engineer
## 1770      2023                Machine Learning Engineer
## 1771      2023                Machine Learning Engineer
## 1772      2023                           Data Scientist
## 1773      2023                           Data Scientist
## 1774      2023                        Research Engineer
## 1775      2023                        Research Engineer
## 1776      2023                           Data Scientist
## 1777      2023                           Data Scientist
## 1778      2023                Machine Learning Engineer
## 1779      2023                Machine Learning Engineer
## 1780      2023                             Data Analyst
## 1781      2023                             Data Analyst
## 1782      2023            Business Intelligence Analyst
## 1783      2023            Business Intelligence Analyst
## 1784      2023           Business Intelligence Engineer
## 1785      2023           Business Intelligence Engineer
## 1786      2023                            Data Engineer
## 1787      2023                            Data Engineer
## 1788      2023                            Data Engineer
## 1789      2023                            Data Engineer
## 1790      2023                       Research Scientist
## 1791      2023                       Research Scientist
## 1792      2023                Machine Learning Engineer
## 1793      2023                Machine Learning Engineer
## 1794      2023                           Data Architect
## 1795      2023                           Data Architect
## 1796      2023                            Data Engineer
## 1797      2023                            Data Engineer
## 1798      2023                           Data Architect
## 1799      2023                           Data Architect
## 1800      2023                             Data Analyst
## 1801      2023                             Data Analyst
## 1802      2023                           Data Architect
## 1803      2023                           Data Architect
## 1804      2023                           Data Scientist
## 1805      2023                           Data Scientist
## 1806      2023                            Data Engineer
## 1807      2023                            Data Engineer
## 1808      2023                             Data Analyst
## 1809      2023                             Data Analyst
## 1810      2023                           Data Scientist
## 1811      2023                           Data Scientist
## 1812      2023                           Data Scientist
## 1813      2023                           Data Scientist
## 1814      2023                            Data Engineer
## 1815      2023                            Data Engineer
## 1816      2023                           Data Scientist
## 1817      2023                           Data Scientist
## 1818      2023                            Data Engineer
## 1819      2023                            Data Engineer
## 1820      2023                             Data Analyst
## 1821      2023                             Data Analyst
## 1822      2023                            Data Engineer
## 1823      2023                            Data Engineer
## 1824      2023                Machine Learning Engineer
## 1825      2023                Machine Learning Engineer
## 1826      2023                           Data Scientist
## 1827      2023                           Data Scientist
## 1828      2023                           Data Scientist
## 1829      2023                Machine Learning Engineer
## 1830      2023                Machine Learning Engineer
## 1831      2023                             Data Analyst
## 1832      2023                             Data Analyst
## 1833      2023                     Data Science Manager
## 1834      2023                     Data Science Manager
## 1835      2023                             Data Analyst
## 1836      2023                             Data Analyst
## 1837      2023                            Data Engineer
## 1838      2023                            Data Engineer
## 1839      2023                             Data Analyst
## 1840      2023                             Data Analyst
## 1841      2023                             Data Manager
## 1842      2023                             Data Manager
## 1843      2023                           Data Scientist
## 1844      2023                           Data Scientist
## 1845      2023                             Data Analyst
## 1846      2023                             Data Analyst
## 1847      2023                           Data Scientist
## 1848      2023                           Data Scientist
## 1849      2023                             Data Analyst
## 1850      2023                             Data Analyst
## 1851      2023                            Data Engineer
## 1852      2023                            Data Engineer
## 1853      2023                 Director of Data Science
## 1854      2023                 Director of Data Science
## 1855      2023                            Data Engineer
## 1856      2023                            Data Engineer
## 1857      2023                          Data Specialist
## 1858      2023                          Data Specialist
## 1859      2023                              AI Engineer
## 1860      2023                              AI Engineer
## 1861      2023                     Data Science Manager
## 1862      2023                     Data Science Manager
## 1863      2023                            Data Engineer
## 1864      2023                            Data Engineer
## 1865      2023                            Data Engineer
## 1866      2023                            Data Engineer
## 1867      2023              Data Visualization Engineer
## 1868      2023              Data Visualization Engineer
## 1869      2023                Data Science Practitioner
## 1870      2023                Data Science Practitioner
## 1871      2023                            Data Engineer
## 1872      2023                            Data Engineer
## 1873      2023                           Data Scientist
## 1874      2023                           Data Scientist
## 1875      2023                            Data Engineer
## 1876      2023                            Data Engineer
## 1877      2023                            Data Engineer
## 1878      2023                            Data Engineer
## 1879      2023                        Applied Scientist
## 1880      2023                        Applied Scientist
## 1881      2023                             Data Manager
## 1882      2023                             Data Manager
## 1883      2023                             Data Modeler
## 1884      2023                             Data Modeler
## 1885      2023                           Data Scientist
## 1886      2023                           Data Scientist
## 1887      2023                              AI Engineer
## 1888      2023                              AI Engineer
## 1889      2023                           Data Scientist
## 1890      2023                           Data Scientist
## 1891      2023                       Research Scientist
## 1892      2023                       Research Scientist
## 1893      2023                              ML Engineer
## 1894      2023                              ML Engineer
## 1895      2023                           Data Scientist
## 1896      2023                           Data Scientist
## 1897      2023                            Data Engineer
## 1898      2023                            Data Engineer
## 1899      2023                           Data Scientist
## 1900      2023                           Data Scientist
## 1901      2023                        Research Engineer
## 1902      2023                        Research Engineer
## 1903      2023                           Data Scientist
## 1904      2023                           Data Scientist
## 1905      2023                           Data Scientist
## 1906      2023                           Data Scientist
## 1907      2023                        Research Engineer
## 1908      2023                        Research Engineer
## 1909      2023                             Data Analyst
## 1910      2023                             Data Analyst
## 1911      2023                Machine Learning Engineer
## 1912      2023                Machine Learning Engineer
## 1913      2023                            Data Engineer
## 1914      2023                            Data Engineer
## 1915      2023                            Data Engineer
## 1916      2023                            Data Engineer
## 1917      2023                           Data Scientist
## 1918      2023                           Data Scientist
## 1919      2023                            Data Engineer
## 1920      2023                            Data Engineer
## 1921      2023                           Data Scientist
## 1922      2023                           Data Scientist
## 1923      2023                              AI Engineer
## 1924      2023                              AI Engineer
## 1925      2023                        Applied Scientist
## 1926      2023                        Applied Scientist
## 1927      2023                            Data Engineer
## 1928      2023                            Data Engineer
## 1929      2023                           Data Scientist
## 1930      2023                           Data Scientist
## 1931      2023                            Data Engineer
## 1932      2023                            Data Engineer
## 1933      2023                              AI Engineer
## 1934      2023                              AI Engineer
## 1935      2023                       Research Scientist
## 1936      2023                       Research Scientist
## 1937      2023                            Data Engineer
## 1938      2023                            Data Engineer
## 1939      2023                           Data Architect
## 1940      2023                           Data Architect
## 1941      2023                           Data Scientist
## 1942      2023                           Data Scientist
## 1943      2023                Machine Learning Engineer
## 1944      2023                Machine Learning Engineer
## 1945      2023                Machine Learning Engineer
## 1946      2023                            Data Engineer
## 1947      2023                             Data Analyst
## 1948      2023                             Data Analyst
## 1949      2023                             Head of Data
## 1950      2023                             Head of Data
## 1951      2023                           Data Scientist
## 1952      2023                           Data Scientist
## 1953      2023                             Data Analyst
## 1954      2023                             Data Analyst
## 1955      2023                            Data Engineer
## 1956      2023                            Data Engineer
## 1957      2023                Machine Learning Engineer
## 1958      2023                Machine Learning Engineer
## 1959      2023                            Data Engineer
## 1960      2023                            Data Engineer
## 1961      2023                              AI Engineer
## 1962      2023                              AI Engineer
## 1963      2023                            ETL Developer
## 1964      2023                            ETL Developer
## 1965      2023                             Data Analyst
## 1966      2023                             Data Analyst
## 1967      2023                Machine Learning Engineer
## 1968      2023                Machine Learning Engineer
## 1969      2023                             Data Analyst
## 1970      2023                             Data Analyst
## 1971      2023                Machine Learning Engineer
## 1972      2023                Machine Learning Engineer
## 1973      2023                            Data Engineer
## 1974      2023                            Data Engineer
## 1975      2023                           Data Scientist
## 1976      2023                           Data Scientist
## 1977      2023                           Data Architect
## 1978      2023                           Data Architect
## 1979      2023                           Data Scientist
## 1980      2023                           Data Scientist
## 1981      2023                           Data Scientist
## 1982      2023                           Data Scientist
## 1983      2023                Machine Learning Engineer
## 1984      2023                Machine Learning Engineer
## 1985      2023                           Data Scientist
## 1986      2023                           Data Scientist
## 1987      2023                           Data Scientist
## 1988      2023                           Data Scientist
## 1989      2023                       Research Scientist
## 1990      2023                       Research Scientist
## 1991      2023                             Data Analyst
## 1992      2023                             Data Analyst
## 1993      2023                           Data Scientist
## 1994      2023                           Data Scientist
## 1995      2023                Machine Learning Engineer
## 1996      2023                Machine Learning Engineer
## 1997      2023                       Analytics Engineer
## 1998      2023                       Analytics Engineer
## 1999      2023                             Data Analyst
## 2000      2023                             Data Analyst
## 2001      2023                           Data Scientist
## 2002      2023                           Data Scientist
## 2003      2023                            Data Engineer
## 2004      2023                            Data Engineer
## 2005      2023                             Data Analyst
## 2006      2023                             Data Analyst
## 2007      2023                           Data Scientist
## 2008      2023                           Data Scientist
## 2009      2023                             BI Developer
## 2010      2023                             BI Developer
## 2011      2023                           Data Scientist
## 2012      2023                           Data Scientist
## 2013      2023                             Data Modeler
## 2014      2023                             Data Modeler
## 2015      2023                   Data Analytics Manager
## 2016      2023                   Data Analytics Manager
## 2017      2023            Business Intelligence Analyst
## 2018      2023            Business Intelligence Analyst
## 2019      2023                            Data Engineer
## 2020      2023                            Data Engineer
## 2021      2023            Business Intelligence Analyst
## 2022      2023            Business Intelligence Analyst
## 2023      2023                            Data Engineer
## 2024      2023                            Data Engineer
## 2025      2023                             Data Analyst
## 2026      2023                             Data Analyst
## 2027      2023               Machine Learning Scientist
## 2028      2023               Machine Learning Scientist
## 2029      2023                           Data Scientist
## 2030      2023                           Data Scientist
## 2031      2023                            Data Engineer
## 2032      2023                            Data Engineer
## 2033      2023                             Data Analyst
## 2034      2023                             Data Analyst
## 2035      2023                           Data Scientist
## 2036      2023                           Data Scientist
## 2037      2023                            Data Engineer
## 2038      2023                            Data Engineer
## 2039      2023                Machine Learning Engineer
## 2040      2023                Machine Learning Engineer
## 2041      2023                            Data Engineer
## 2042      2023                            Data Engineer
## 2043      2023                             Data Analyst
## 2044      2023                             Data Analyst
## 2045      2023                             Data Manager
## 2046      2023                             Data Manager
## 2047      2023                            Data Engineer
## 2048      2023                            Data Engineer
## 2049      2023                             Data Analyst
## 2050      2023                             Data Analyst
## 2051      2023                           Data Scientist
## 2052      2023                           Data Scientist
## 2053      2023                            Data Engineer
## 2054      2023                            Data Engineer
## 2055      2023                             Data Analyst
## 2056      2023                             Data Analyst
## 2057      2023                           Data Scientist
## 2058      2023                Machine Learning Engineer
## 2059      2023                             Data Analyst
## 2060      2023                             Data Analyst
## 2061      2023                            ETL Developer
## 2062      2023                            ETL Developer
## 2063      2023                            Data Engineer
## 2064      2023                            Data Engineer
## 2065      2023                       Research Scientist
## 2066      2023                       Research Scientist
## 2067      2023                            Data Engineer
## 2068      2023                            Data Engineer
## 2069      2023                        Research Engineer
## 2070      2023                        Research Engineer
## 2071      2023                           Data Architect
## 2072      2023                           Data Architect
## 2073      2023                           Data Scientist
## 2074      2023                           Data Scientist
## 2075      2023                             Data Analyst
## 2076      2023                             Data Analyst
## 2077      2023                        Research Engineer
## 2078      2023                        Research Engineer
## 2079      2023                            Data Engineer
## 2080      2023                            Data Engineer
## 2081      2023                            Data Engineer
## 2082      2023                            Data Engineer
## 2083      2023                            Data Engineer
## 2084      2023                            Data Engineer
## 2085      2023                             Data Analyst
## 2086      2023                             Data Analyst
## 2087      2020                      Azure Data Engineer
## 2088      2023                            Data Engineer
## 2089      2023                            Data Engineer
## 2090      2023                             Data Manager
## 2091      2023                             Data Manager
## 2092      2023                Machine Learning Engineer
## 2093      2023                Machine Learning Engineer
## 2094      2023                           Data Scientist
## 2095      2023                           Data Scientist
## 2096      2023                             Data Analyst
## 2097      2023                             Data Analyst
## 2098      2023                       Decision Scientist
## 2099      2023                       Decision Scientist
## 2100      2023                Machine Learning Engineer
## 2101      2023                Machine Learning Engineer
## 2102      2023                            Data Engineer
## 2103      2023                            Data Engineer
## 2104      2023 Machine Learning Infrastructure Engineer
## 2105      2023 Machine Learning Infrastructure Engineer
## 2106      2023                            Data Engineer
## 2107      2023                            Data Engineer
## 2108      2023                       Research Scientist
## 2109      2023                       Research Scientist
## 2110      2023 Machine Learning Infrastructure Engineer
## 2111      2023 Machine Learning Infrastructure Engineer
## 2112      2023                Machine Learning Engineer
## 2113      2023                Machine Learning Engineer
## 2114      2023                   Data Analytics Manager
## 2115      2023                   Data Analytics Manager
## 2116      2023                           Data Scientist
## 2117      2023                           Data Scientist
## 2118      2023                             Data Analyst
## 2119      2023                             Data Analyst
## 2120      2023            Business Intelligence Analyst
## 2121      2023            Business Intelligence Analyst
## 2122      2023                       Analytics Engineer
## 2123      2023                       Analytics Engineer
## 2124      2023                           Data Scientist
## 2125      2023                           Data Scientist
## 2126      2023                           Data Scientist
## 2127      2023                           Data Scientist
## 2128      2023                           Data Scientist
## 2129      2023                           Data Scientist
## 2130      2023                             BI Developer
## 2131      2023                             BI Developer
## 2132      2023                                Data Lead
## 2133      2023                                Data Lead
## 2134      2023                             Data Analyst
## 2135      2023                             Data Analyst
## 2136      2023                             Data Analyst
## 2137      2023                Machine Learning Engineer
## 2138      2023                Machine Learning Engineer
## 2139      2023                           Data Architect
## 2140      2023                           Data Architect
## 2141      2023                             Data Manager
## 2142      2023                             Data Manager
## 2143      2023                           Data Scientist
## 2144      2023                           Data Scientist
## 2145      2023                           Data Scientist
## 2146      2023                           Data Scientist
## 2147      2023 Machine Learning Infrastructure Engineer
## 2148      2023 Machine Learning Infrastructure Engineer
## 2149      2023                        Applied Scientist
## 2150      2023                        Applied Scientist
## 2151      2023                Machine Learning Engineer
## 2152      2023                Machine Learning Engineer
## 2153      2023                           Data Scientist
## 2154      2023                           Data Scientist
## 2155      2023                        Applied Scientist
## 2156      2023                        Applied Scientist
## 2157      2023                           Data Architect
## 2158      2023                           Data Architect
## 2159      2023                        Research Engineer
## 2160      2023                        Research Engineer
## 2161      2023                        Applied Scientist
## 2162      2023                        Applied Scientist
## 2163      2023                Machine Learning Engineer
## 2164      2023                Machine Learning Engineer
## 2165      2023                             Data Analyst
## 2166      2023                             Data Analyst
## 2167      2023                             Data Analyst
## 2168      2023                             Data Analyst
## 2169      2023                             Data Analyst
## 2170      2023                             Data Analyst
## 2171      2023                           Data Scientist
## 2172      2023                           Data Scientist
## 2173      2023                           Data Architect
## 2174      2023                           Data Architect
## 2175      2023                             BI Developer
## 2176      2023                             BI Developer
## 2177      2023                           Data Scientist
## 2178      2023                           Data Scientist
## 2179      2023                Machine Learning Engineer
## 2180      2023                Machine Learning Engineer
## 2181      2023           Business Intelligence Engineer
## 2182      2023           Business Intelligence Engineer
## 2183      2023               Machine Learning Scientist
## 2184      2023               Machine Learning Scientist
## 2185      2023                Machine Learning Engineer
## 2186      2023                Machine Learning Engineer
## 2187      2023                Machine Learning Engineer
## 2188      2023                Machine Learning Engineer
## 2189      2023                           Data Scientist
## 2190      2023                           Data Scientist
## 2191      2023                           Data Scientist
## 2192      2023                           Data Scientist
## 2193      2023                            Data Engineer
## 2194      2023                            Data Engineer
## 2195      2023                            Data Engineer
## 2196      2023                            Data Engineer
## 2197      2023                           Data Scientist
## 2198      2023                           Data Scientist
## 2199      2023                       Analytics Engineer
## 2200      2023                       Analytics Engineer
## 2201      2023                           Data Scientist
## 2202      2023                           Data Scientist
## 2203      2023                             Data Analyst
## 2204      2023                             Data Analyst
## 2205      2023                              ML Engineer
## 2206      2023                              ML Engineer
## 2207      2023                            Data Engineer
## 2208      2023                             Data Analyst
## 2209      2023                             Data Analyst
## 2210      2023                             Data Manager
## 2211      2023                             Data Manager
## 2212      2023                Machine Learning Engineer
## 2213      2023                Machine Learning Engineer
## 2214      2023                            Data Engineer
## 2215      2023                            Data Engineer
## 2216      2023                Machine Learning Engineer
## 2217      2023                Machine Learning Engineer
## 2218      2023                             Data Analyst
## 2219      2023                             Data Analyst
## 2220      2023                           Data Scientist
## 2221      2023                           Data Scientist
## 2222      2023                             Data Analyst
## 2223      2023                             Data Analyst
## 2224      2023                            Data Engineer
## 2225      2023                            Data Engineer
## 2226      2023                            Data Engineer
## 2227      2023                            Data Engineer
## 2228      2023                Machine Learning Engineer
## 2229      2023                Machine Learning Engineer
## 2230      2023                             Data Manager
## 2231      2023                             Data Manager
## 2232      2023                        Applied Scientist
## 2233      2023                        Applied Scientist
## 2234      2023                Machine Learning Engineer
## 2235      2023                Machine Learning Engineer
## 2236      2023                           Data Scientist
## 2237      2023                           Data Scientist
## 2238      2023                           Data Scientist
## 2239      2023                           Data Scientist
## 2240      2023                           Data Scientist
## 2241      2023                           Data Scientist
## 2242      2023                        Applied Scientist
## 2243      2023                        Applied Scientist
## 2244      2023                             Data Analyst
## 2245      2023                             Data Analyst
## 2246      2023                Machine Learning Engineer
## 2247      2023                Machine Learning Engineer
## 2248      2023                           Data Scientist
## 2249      2023                           Data Scientist
## 2250      2023                        Research Engineer
## 2251      2023                        Research Engineer
## 2252      2023                Machine Learning Engineer
## 2253      2023                Machine Learning Engineer
## 2254      2023                            Data Engineer
## 2255      2023                            Data Engineer
## 2256      2023                              AI Engineer
## 2257      2023                              AI Engineer
## 2258      2023                           Data Developer
## 2259      2023                           Data Developer
## 2260      2023                Machine Learning Engineer
## 2261      2023                Machine Learning Engineer
## 2262      2023                        Applied Scientist
## 2263      2023                        Applied Scientist
## 2264      2023                            Data Engineer
## 2265      2023                            Data Engineer
## 2266      2023                             AI Developer
## 2267      2023                             AI Developer
## 2268      2023                           Data Scientist
## 2269      2023                           Data Scientist
## 2270      2023                 Principal Data Scientist
## 2271      2023                        Data Science Lead
## 2272      2023                        Data Science Lead
## 2273      2023                    Business Data Analyst
## 2274      2023                            Data Engineer
## 2275      2023                            Data Engineer
## 2276      2023                Machine Learning Engineer
## 2277      2023                Machine Learning Engineer
## 2278      2023                           Data Scientist
## 2279      2023                           Data Scientist
## 2280      2023              Machine Learning Researcher
## 2281      2023              Machine Learning Researcher
## 2282      2023                Machine Learning Engineer
## 2283      2023                Machine Learning Engineer
## 2284      2023                             Head of Data
## 2285      2023                             Head of Data
## 2286      2023                Machine Learning Engineer
## 2287      2023                Machine Learning Engineer
## 2288      2023                           Data Scientist
## 2289      2023                           Data Scientist
## 2290      2020                       Staff Data Analyst
## 2291      2023                              AI Engineer
## 2292      2023                             AI Developer
## 2293      2023                Machine Learning Engineer
## 2294      2023                Machine Learning Engineer
## 2295      2023               Machine Learning Scientist
## 2296      2023               Machine Learning Scientist
## 2297      2023                       Research Scientist
## 2298      2023                       Research Scientist
## 2299      2023                Machine Learning Engineer
## 2300      2023                Machine Learning Engineer
## 2301      2023                         Research Analyst
## 2302      2023                         Research Analyst
## 2303      2023                            Data Engineer
## 2304      2023                            Data Engineer
## 2305      2023                            Data Engineer
## 2306      2023                            Data Engineer
## 2307      2023                            Data Engineer
## 2308      2023                            Data Engineer
## 2309      2023                             Data Analyst
## 2310      2023                             Data Analyst
## 2311      2023                        Research Engineer
## 2312      2023                        Research Engineer
## 2313      2023                            Data Engineer
## 2314      2023                            Data Engineer
## 2315      2023                             AI Developer
## 2316      2023                             Data Analyst
## 2317      2023                             Data Analyst
## 2318      2023                             Data Manager
## 2319      2023                             Data Manager
## 2320      2023                              ML Engineer
## 2321      2023                              ML Engineer
## 2322      2023                             Data Manager
## 2323      2023                             Data Manager
## 2324      2023                           Data Scientist
## 2325      2023                           Data Scientist
## 2326      2023                             Data Manager
## 2327      2023                             Data Manager
## 2328      2023                Machine Learning Engineer
## 2329      2023                Machine Learning Engineer
## 2330      2023                            Data Engineer
## 2331      2023                            Data Engineer
## 2332      2023                             Data Analyst
## 2333      2023                             Data Analyst
## 2334      2023                            Data Engineer
## 2335      2023                            Data Engineer
## 2336      2023                            Data Engineer
## 2337      2023                            Data Engineer
## 2338      2023                            Data Engineer
## 2339      2023                            Data Engineer
## 2340      2023                       Research Scientist
## 2341      2023                       Research Scientist
## 2342      2023                Machine Learning Engineer
## 2343      2023                Machine Learning Engineer
## 2344      2023                             Data Analyst
## 2345      2023                             Data Analyst
## 2346      2023                             Data Analyst
## 2347      2023                             Data Analyst
## 2348      2023                           Data Scientist
## 2349      2023                           Data Scientist
## 2350      2023                Machine Learning Engineer
## 2351      2023                Machine Learning Engineer
## 2352      2023                Machine Learning Engineer
## 2353      2023                Machine Learning Engineer
## 2354      2023                            Data Engineer
## 2355      2023                            Data Engineer
## 2356      2023                             Data Analyst
## 2357      2023                             Data Analyst
## 2358      2023                           Data Developer
## 2359      2023                           Data Developer
## 2360      2023            Business Intelligence Analyst
## 2361      2023            Business Intelligence Analyst
## 2362      2023             Data Infrastructure Engineer
## 2363      2023             Data Infrastructure Engineer
## 2364      2023       Machine Learning Software Engineer
## 2365      2023       Machine Learning Software Engineer
## 2366      2023                           Data Scientist
## 2367      2023                           Data Scientist
## 2368      2023                            Data Engineer
## 2369      2023                            Data Engineer
## 2370      2023                         Research Analyst
## 2371      2023                         Research Analyst
## 2372      2023                            Data Engineer
## 2373      2023                            Data Engineer
## 2374      2023                             Data Analyst
## 2375      2023                             Data Analyst
## 2376      2023                Machine Learning Engineer
## 2377      2023                Machine Learning Engineer
## 2378      2023                           Data Architect
## 2379      2023                           Data Architect
## 2380      2023               Machine Learning Scientist
## 2381      2023               Machine Learning Scientist
## 2382      2023                             Data Analyst
## 2383      2023                             Data Analyst
## 2384      2023     Machine Learning Operations Engineer
## 2385      2023                             AI Scientist
## 2386      2023                            Data Engineer
## 2387      2023                            Data Engineer
## 2388      2023                           Data Scientist
## 2389      2023                           Data Scientist
## 2390      2023                Machine Learning Engineer
## 2391      2023                Machine Learning Engineer
## 2392      2023                             Data Analyst
## 2393      2023                             Data Analyst
## 2394      2023                           Data Scientist
## 2395      2023                           Data Scientist
## 2396      2023                     AI Research Engineer
## 2397      2023                 Head of Machine Learning
## 2398      2023                 Head of Machine Learning
## 2399      2023                               BI Analyst
## 2400      2023                               BI Analyst
## 2401      2023              Machine Learning Researcher
## 2402      2023              Machine Learning Researcher
## 2403      2023                            Data Engineer
## 2404      2023                            Data Engineer
## 2405      2023                         Research Analyst
## 2406      2023                         Research Analyst
## 2407      2023                           Data Scientist
## 2408      2023                           Data Scientist
## 2409      2023                          Data Specialist
## 2410      2023                          Data Specialist
## 2411      2023                           Data Scientist
## 2412      2023                           Data Scientist
## 2413      2023                             Data Manager
## 2414      2023                             Data Manager
## 2415      2023                       Decision Scientist
## 2416      2023                       Decision Scientist
## 2417      2023            Business Intelligence Analyst
## 2418      2023            Business Intelligence Analyst
## 2419      2023                Machine Learning Engineer
## 2420      2023                Machine Learning Engineer
## 2421      2023                             Head of Data
## 2422      2023                             Head of Data
## 2423      2023           Business Intelligence Engineer
## 2424      2023           Business Intelligence Engineer
## 2425      2023                            Data Engineer
## 2426      2023                            Data Engineer
## 2427      2023                        Data Science Lead
## 2428      2023                        Data Science Lead
## 2429      2023                             Data Analyst
## 2430      2023                             Data Analyst
## 2431      2023                           Data Scientist
## 2432      2023                           Data Scientist
## 2433      2023               Machine Learning Scientist
## 2434      2023               Machine Learning Scientist
## 2435      2023                             Data Manager
## 2436      2023                             Data Manager
## 2437      2023                            Data Engineer
## 2438      2023                            Data Engineer
## 2439      2023                            Data Engineer
## 2440      2023                            Data Engineer
## 2441      2023                           Data Scientist
## 2442      2023                           Data Scientist
## 2443      2023           Business Intelligence Engineer
## 2444      2023           Business Intelligence Engineer
## 2445      2023                             Data Analyst
## 2446      2023                             Data Analyst
## 2447      2023                             Data Analyst
## 2448      2023                             Data Analyst
## 2449      2023                            Data Engineer
## 2450      2023                            Data Engineer
## 2451      2023                Machine Learning Engineer
## 2452      2023                Machine Learning Engineer
## 2453      2023                           Data Scientist
## 2454      2023                           Data Scientist
## 2455      2023                            Data Engineer
## 2456      2023                            Data Engineer
## 2457      2023                            Data Engineer
## 2458      2023                            Data Engineer
## 2459      2023                             Head of Data
## 2460      2023                             Head of Data
## 2461      2023                            Data Engineer
## 2462      2023                            Data Engineer
## 2463      2023                             Data Analyst
## 2464      2023                             Data Analyst
## 2465      2023                            Data Engineer
## 2466      2023                            Data Engineer
## 2467      2023                Machine Learning Engineer
## 2468      2023                Machine Learning Engineer
## 2469      2023                Machine Learning Engineer
## 2470      2023                Machine Learning Engineer
## 2471      2023                Machine Learning Engineer
## 2472      2023                Machine Learning Engineer
## 2473      2023                       Analytics Engineer
## 2474      2023                       Analytics Engineer
## 2475      2023                           Data Scientist
## 2476      2023                           Data Scientist
## 2477      2023                Machine Learning Engineer
## 2478      2023                Machine Learning Engineer
## 2479      2023                              ML Engineer
## 2480      2023                              ML Engineer
## 2481      2023                Machine Learning Engineer
## 2482      2023                Machine Learning Engineer
## 2483      2023                       Research Scientist
## 2484      2023                       Research Scientist
## 2485      2023                            Data Engineer
## 2486      2023                            Data Engineer
## 2487      2023           Business Intelligence Engineer
## 2488      2023           Business Intelligence Engineer
## 2489      2023                           Data Scientist
## 2490      2023                           Data Scientist
## 2491      2023                       Research Scientist
## 2492      2023                       Research Scientist
## 2493      2023             Data Infrastructure Engineer
## 2494      2023             Data Infrastructure Engineer
## 2495      2023                Machine Learning Engineer
## 2496      2023                Machine Learning Engineer
## 2497      2023                    Data Strategy Manager
## 2498      2023                    Data Strategy Manager
## 2499      2023                           Data Scientist
## 2500      2023                           Data Scientist
## 2501      2023                           Data Scientist
## 2502      2023                           Data Scientist
## 2503      2023                Machine Learning Engineer
## 2504      2023                Machine Learning Engineer
## 2505      2023                           Data Scientist
## 2506      2023                           Data Scientist
## 2507      2023                           Data Scientist
## 2508      2023                Machine Learning Engineer
## 2509      2023                Machine Learning Engineer
## 2510      2023                Machine Learning Engineer
## 2511      2023                Machine Learning Engineer
## 2512      2023            Business Intelligence Analyst
## 2513      2023            Business Intelligence Analyst
## 2514      2023                            Data Engineer
## 2515      2023                            Data Engineer
## 2516      2023                            Data Engineer
## 2517      2023                            Data Engineer
## 2518      2023                Machine Learning Engineer
## 2519      2023                Machine Learning Engineer
## 2520      2023                           Data Scientist
## 2521      2023                           Data Scientist
## 2522      2023                       Analytics Engineer
## 2523      2023                       Analytics Engineer
## 2524      2023                           Data Scientist
## 2525      2023                           Data Scientist
## 2526      2023                           Data Scientist
## 2527      2023                           Data Scientist
## 2528      2023                            Data Engineer
## 2529      2023                            Data Engineer
## 2530      2023                             Data Analyst
## 2531      2023                             Data Analyst
## 2532      2023                         Research Analyst
## 2533      2023                         Research Analyst
## 2534      2023                             Data Analyst
## 2535      2023                             Data Analyst
## 2536      2023                  Data Science Consultant
## 2537      2023                  Data Science Consultant
## 2538      2023                             Data Manager
## 2539      2023                             Data Manager
## 2540      2023                Machine Learning Engineer
## 2541      2023                Machine Learning Engineer
## 2542      2023                            Data Engineer
## 2543      2023                            Data Engineer
## 2544      2023                             Data Analyst
## 2545      2023                             Data Analyst
## 2546      2023                             Data Analyst
## 2547      2023                             Data Analyst
## 2548      2023                            Data Engineer
## 2549      2023                            Data Engineer
## 2550      2023          Business Intelligence Developer
## 2551      2023          Business Intelligence Developer
## 2552      2023                             Data Manager
## 2553      2023                             Data Manager
## 2554      2023                             Data Analyst
## 2555      2023                             Data Analyst
## 2556      2023                       Decision Scientist
## 2557      2023                       Decision Scientist
## 2558      2023                           Data Scientist
## 2559      2023                           Data Scientist
## 2560      2023                     Data Science Manager
## 2561      2023                     Data Science Manager
## 2562      2023                        Research Engineer
## 2563      2023                        Research Engineer
## 2564      2023                             Data Manager
## 2565      2023                             Data Manager
## 2566      2023                Machine Learning Engineer
## 2567      2023                Machine Learning Engineer
## 2568      2023                Machine Learning Engineer
## 2569      2023                Machine Learning Engineer
## 2570      2023                             Data Analyst
## 2571      2023                             Data Analyst
## 2572      2023                           Data Architect
## 2573      2023                           Data Architect
## 2574      2023                             Data Analyst
## 2575      2023                             Data Analyst
## 2576      2023                            Data Engineer
## 2577      2023                            Data Engineer
## 2578      2023                           Data Scientist
## 2579      2023                           Data Scientist
## 2580      2023                        Applied Scientist
## 2581      2023                        Applied Scientist
## 2582      2023                        Research Engineer
## 2583      2023                        Research Engineer
## 2584      2023                Machine Learning Engineer
## 2585      2023                Machine Learning Engineer
## 2586      2023                           Data Scientist
## 2587      2023                           Data Scientist
## 2588      2023                        Research Engineer
## 2589      2023                        Research Engineer
## 2590      2023                           Data Scientist
## 2591      2023                           Data Scientist
## 2592      2023                           Data Architect
## 2593      2023                           Data Architect
## 2594      2023                           Data Scientist
## 2595      2023                           Data Scientist
## 2596      2023                           Data Architect
## 2597      2023                           Data Architect
## 2598      2023                            Data Engineer
## 2599      2023                            Data Engineer
## 2600      2023                           Data Scientist
## 2601      2023                           Data Scientist
## 2602      2023                       Analytics Engineer
## 2603      2023                          Data Strategist
## 2604      2023                          Data Strategist
## 2605      2023                            Data Engineer
## 2606      2023                            Data Engineer
## 2607      2023                           Data Scientist
## 2608      2023                           Data Scientist
## 2609      2023                        Research Engineer
## 2610      2023                        Research Engineer
## 2611      2023                             Data Analyst
## 2612      2023                             Data Analyst
## 2613      2023                          Insight Analyst
## 2614      2023                          Insight Analyst
## 2615      2023                            Data Engineer
## 2616      2023                            Data Engineer
## 2617      2023                           Data Scientist
## 2618      2023                           Data Scientist
## 2619      2023                Machine Learning Engineer
## 2620      2023                Machine Learning Engineer
## 2621      2023                            Data Engineer
## 2622      2023                            Data Engineer
## 2623      2023                 Director of Data Science
## 2624      2023                 Director of Data Science
## 2625      2023                Machine Learning Engineer
## 2626      2023                Machine Learning Engineer
## 2627      2023                              ML Engineer
## 2628      2023                              ML Engineer
## 2629      2023                            Data Engineer
## 2630      2023                            Data Engineer
## 2631      2023 Machine Learning Infrastructure Engineer
## 2632      2023 Machine Learning Infrastructure Engineer
## 2633      2023                             Data Analyst
## 2634      2023                             Data Analyst
## 2635      2023                             BI Developer
## 2636      2023                             BI Developer
## 2637      2023                           Data Scientist
## 2638      2023                           Data Scientist
## 2639      2023                             Data Analyst
## 2640      2023                             Data Analyst
## 2641      2023                            Data Engineer
## 2642      2023                            Data Engineer
## 2643      2023             Data Infrastructure Engineer
## 2644      2023             Data Infrastructure Engineer
## 2645      2023 Machine Learning Infrastructure Engineer
## 2646      2023 Machine Learning Infrastructure Engineer
## 2647      2023                              AI Engineer
## 2648      2023                             Data Manager
## 2649      2023                             Data Manager
## 2650      2023               Machine Learning Scientist
## 2651      2023               Machine Learning Scientist
## 2652      2023                           Data Scientist
## 2653      2023                           Data Scientist
## 2654      2023                            Data Engineer
## 2655      2023                            Data Engineer
## 2656      2023                             Data Manager
## 2657      2023                             Data Manager
## 2658      2023                             Data Analyst
## 2659      2023                             Data Analyst
## 2660      2023                            Data Engineer
## 2661      2023                            Data Engineer
## 2662      2023                           Data Scientist
## 2663      2023                           Data Scientist
## 2664      2023                        Applied Scientist
## 2665      2023                        Applied Scientist
## 2666      2023                             Data Analyst
## 2667      2023                             Data Analyst
## 2668      2023                            Data Engineer
## 2669      2023                            Data Engineer
## 2670      2023                Machine Learning Engineer
## 2671      2023                Machine Learning Engineer
## 2672      2023                           Data Scientist
## 2673      2023                           Data Scientist
## 2674      2023                Machine Learning Engineer
## 2675      2023                Machine Learning Engineer
## 2676      2023           Business Intelligence Engineer
## 2677      2023           Business Intelligence Engineer
## 2678      2023                             Data Analyst
## 2679      2023                             Data Analyst
## 2680      2023                       Analytics Engineer
## 2681      2023                       Analytics Engineer
## 2682      2023                             Data Analyst
## 2683      2023                             Data Analyst
## 2684      2023                   Applied Data Scientist
## 2685      2023                             Data Analyst
## 2686      2023                             Data Analyst
## 2687      2023                Machine Learning Engineer
## 2688      2023                Machine Learning Engineer
## 2689      2023                           Data Scientist
## 2690      2023                           Data Scientist
## 2691      2023                             Data Analyst
## 2692      2023                             Data Analyst
## 2693      2023                        Applied Scientist
## 2694      2023                        Applied Scientist
## 2695      2023                           Data Scientist
## 2696      2023                           Data Scientist
## 2697      2023                            Data Engineer
## 2698      2023                            Data Engineer
## 2699      2023                           Data Scientist
## 2700      2023                           Data Scientist
## 2701      2023                             Data Analyst
## 2702      2023                             Data Analyst
## 2703      2023                Data Science Practitioner
## 2704      2023                Data Science Practitioner
## 2705      2023                        Applied Scientist
## 2706      2023                        Applied Scientist
## 2707      2023                           Data Scientist
## 2708      2023                           Data Scientist
## 2709      2023              Machine Learning Researcher
## 2710      2023                            AI Programmer
## 2711      2023                              ML Engineer
## 2712      2023                              ML Engineer
## 2713      2023                              AI Engineer
## 2714      2023                              AI Engineer
## 2715      2023                            Data Engineer
## 2716      2023                            Data Engineer
## 2717      2023                             Data Analyst
## 2718      2023                             Data Analyst
## 2719      2023                        Research Engineer
## 2720      2023                        Research Engineer
## 2721      2023                           Data Scientist
## 2722      2023                           Data Scientist
## 2723      2023                Machine Learning Engineer
## 2724      2023                Machine Learning Engineer
## 2725      2023                             Data Analyst
## 2726      2023                             Data Analyst
## 2727      2023                             Data Analyst
## 2728      2023                             Data Analyst
## 2729      2023                           Data Scientist
## 2730      2023                           Data Scientist
## 2731      2023 Machine Learning Infrastructure Engineer
## 2732      2023 Machine Learning Infrastructure Engineer
## 2733      2023                             Data Analyst
## 2734      2023                             Data Analyst
## 2735      2023                     Data Science Manager
## 2736      2023                              AI Engineer
## 2737      2023                        Data Science Lead
## 2738      2023                        Data Science Lead
## 2739      2023                             Data Manager
## 2740      2023                             Data Manager
## 2741      2023                Machine Learning Engineer
## 2742      2023                Machine Learning Engineer
## 2743      2023                           Data Scientist
## 2744      2023                           Data Scientist
## 2745      2023                             Data Analyst
## 2746      2023                             Data Analyst
## 2747      2023                            Data Engineer
## 2748      2023                            Data Engineer
## 2749      2023                Machine Learning Engineer
## 2750      2023                Machine Learning Engineer
## 2751      2023                             Data Analyst
## 2752      2023                             Data Analyst
## 2753      2023                             Data Manager
## 2754      2023                             Data Manager
## 2755      2023                           Data Scientist
## 2756      2023                           Data Scientist
## 2757      2023                            Data Engineer
## 2758      2023                            Data Engineer
## 2759      2023                           Data Scientist
## 2760      2023                           Data Scientist
## 2761      2023                           Data Scientist
## 2762      2023                           Data Scientist
## 2763      2023                Machine Learning Engineer
## 2764      2023                Machine Learning Engineer
## 2765      2023                             Data Modeler
## 2766      2023                             Data Modeler
## 2767      2023                  Data Operations Analyst
## 2768      2023                  Data Operations Analyst
## 2769      2023                     Data Science Manager
## 2770      2023                     Data Science Manager
## 2771      2023                              AI Engineer
## 2772      2023                              AI Engineer
## 2773      2023                             Head of Data
## 2774      2023                             Head of Data
## 2775      2023                           Data Scientist
## 2776      2023                           Data Scientist
## 2777      2023                       Decision Scientist
## 2778      2023                       Decision Scientist
## 2779      2023                           Data Scientist
## 2780      2023                           Data Scientist
## 2781      2023                           Data Scientist
## 2782      2023                           Data Scientist
## 2783      2023                            Data Engineer
## 2784      2023                            Data Engineer
## 2785      2023                Machine Learning Engineer
## 2786      2023                Machine Learning Engineer
## 2787      2023                             Data Manager
## 2788      2023                             Data Manager
## 2789      2023                            Data Engineer
## 2790      2023                            Data Engineer
## 2791      2023                       Research Scientist
## 2792      2023                       Research Scientist
## 2793      2023                            Data Engineer
## 2794      2023                            Data Engineer
## 2795      2023                           Data Scientist
## 2796      2023                           Data Scientist
## 2797      2023                Machine Learning Engineer
## 2798      2023                Machine Learning Engineer
## 2799      2023                            Data Engineer
## 2800      2023                            Data Engineer
## 2801      2023                Machine Learning Engineer
## 2802      2023                Machine Learning Engineer
## 2803      2023                           Data Architect
## 2804      2023                           Data Architect
## 2805      2023                        Research Engineer
## 2806      2023                        Research Engineer
## 2807      2023                            Data Engineer
## 2808      2023                            Data Engineer
## 2809      2023                            Data Engineer
## 2810      2023                            Data Engineer
## 2811      2023                Machine Learning Engineer
## 2812      2023                Machine Learning Engineer
## 2813      2023                       Analytics Engineer
## 2814      2023                       Analytics Engineer
## 2815      2023                Machine Learning Engineer
## 2816      2023                            Data Engineer
## 2817      2023                           Data Developer
## 2818      2023                           Data Developer
## 2819      2023                             Data Manager
## 2820      2023                             Data Manager
## 2821      2023                             Data Analyst
## 2822      2023                             Data Analyst
## 2823      2023                           Data Scientist
## 2824      2023                           Data Scientist
## 2825      2023                             Data Analyst
## 2826      2023                             Data Analyst
## 2827      2023                            Data Engineer
## 2828      2023                            Data Engineer
## 2829      2023                           Data Scientist
## 2830      2023                           Data Scientist
## 2831      2023                Machine Learning Engineer
## 2832      2023                Machine Learning Engineer
## 2833      2023                              AI Engineer
## 2834      2023                            Data Engineer
## 2835      2023                            Data Engineer
## 2836      2023                Machine Learning Engineer
## 2837      2023                Machine Learning Engineer
## 2838      2023                       Research Scientist
## 2839      2023                       Research Scientist
## 2840      2023                Machine Learning Engineer
## 2841      2023                Machine Learning Engineer
## 2842      2023                            Data Engineer
## 2843      2023                            Data Engineer
## 2844      2023                             Data Analyst
## 2845      2023                             Data Analyst
## 2846      2023                           Data Scientist
## 2847      2023                           Data Scientist
## 2848      2023                             Data Analyst
## 2849      2023                             Data Analyst
## 2850      2023                Machine Learning Engineer
## 2851      2023                Machine Learning Engineer
## 2852      2023                           Data Scientist
## 2853      2023                           Data Scientist
## 2854      2023                           Data Scientist
## 2855      2023                           Data Scientist
## 2856      2023                        Research Engineer
## 2857      2023                        Research Engineer
## 2858      2022               Machine Learning Scientist
## 2859      2023                       Analytics Engineer
## 2860      2023                       Analytics Engineer
## 2861      2023                            Data Engineer
## 2862      2023                            Data Engineer
## 2863      2023                       Analytics Engineer
## 2864      2023                       Analytics Engineer
## 2865      2023                             Data Manager
## 2866      2023                             Data Manager
## 2867      2023                Machine Learning Engineer
## 2868      2023                Machine Learning Engineer
## 2869      2023                        Applied Scientist
## 2870      2023                        Applied Scientist
## 2871      2023                Machine Learning Engineer
## 2872      2023                Machine Learning Engineer
## 2873      2023                        Applied Scientist
## 2874      2023                        Applied Scientist
## 2875      2023                Machine Learning Engineer
## 2876      2023                Machine Learning Engineer
## 2877      2023                        Data Science Lead
## 2878      2023                        Data Science Lead
## 2879      2023                        Applied Scientist
## 2880      2023                        Applied Scientist
## 2881      2023                             Data Manager
## 2882      2023                             Data Manager
## 2883      2023                             AI Scientist
## 2884      2023                            Data Engineer
## 2885      2023                            Data Engineer
## 2886      2023                            Data Engineer
## 2887      2023                            Data Engineer
## 2888      2023                       Decision Scientist
## 2889      2023                       Decision Scientist
## 2890      2023                          Data Strategist
## 2891      2023                          Data Strategist
## 2892      2023                             Data Analyst
## 2893      2023                             Data Analyst
## 2894      2023                       Research Scientist
## 2895      2023                       Research Scientist
## 2896      2023                Machine Learning Engineer
## 2897      2023                Machine Learning Engineer
## 2898      2023                Machine Learning Engineer
## 2899      2023                Machine Learning Engineer
## 2900      2023                Machine Learning Engineer
## 2901      2023                Machine Learning Engineer
## 2902      2023                Machine Learning Engineer
## 2903      2023                Machine Learning Engineer
## 2904      2023                Machine Learning Engineer
## 2905      2023                Machine Learning Engineer
## 2906      2023                              ML Engineer
## 2907      2023                              ML Engineer
## 2908      2023                             Data Analyst
## 2909      2023                             Data Analyst
## 2910      2023                       Analytics Engineer
## 2911      2023                       Analytics Engineer
## 2912      2023                            Data Engineer
## 2913      2023                            Data Engineer
## 2914      2023                             Data Analyst
## 2915      2023                             Data Analyst
## 2916      2023                             Data Manager
## 2917      2023                             Data Manager
## 2918      2023                           MLOps Engineer
## 2919      2023                             Data Analyst
## 2920      2023                             Data Analyst
## 2921      2023                            Data Engineer
## 2922      2023                            Data Engineer
## 2923      2023                            Data Engineer
## 2924      2023                            Data Engineer
## 2925      2023                        Data Science Lead
## 2926      2023                        Data Science Lead
## 2927      2023                       Analytics Engineer
## 2928      2023                       Analytics Engineer
## 2929      2023                Machine Learning Engineer
## 2930      2023                Machine Learning Engineer
## 2931      2023                           Data Scientist
## 2932      2023                           Data Scientist
## 2933      2023                           Data Scientist
## 2934      2023                           Data Scientist
## 2935      2023                             Data Analyst
## 2936      2023                             Data Analyst
## 2937      2023                            Data Engineer
## 2938      2023                            Data Engineer
## 2939      2023                            Data Engineer
## 2940      2023                            Data Engineer
## 2941      2023                Machine Learning Engineer
## 2942      2023                Machine Learning Engineer
## 2943      2023                          Data Specialist
## 2944      2023                          Data Specialist
## 2945      2023                           Data Scientist
## 2946      2023                           Data Scientist
## 2947      2023                            Data Engineer
## 2948      2023                       Analytics Engineer
## 2949      2023                       Analytics Engineer
## 2950      2023                            Data Engineer
## 2951      2023                            Data Engineer
## 2952      2023                            Data Engineer
## 2953      2023                            Data Engineer
## 2954      2023                           Data Scientist
## 2955      2023                           Data Scientist
## 2956      2023                            Data Engineer
## 2957      2023                            Data Engineer
## 2958      2023                           Data Scientist
## 2959      2023                           Data Scientist
## 2960      2023              Data Integration Specialist
## 2961      2023              Data Integration Specialist
## 2962      2023                           Data Scientist
## 2963      2023                           Data Scientist
## 2964      2023                           Data Scientist
## 2965      2023                           Data Scientist
## 2966      2023                  Data Science Consultant
## 2967      2023                  Data Science Consultant
## 2968      2023            Business Intelligence Analyst
## 2969      2023            Business Intelligence Analyst
## 2970      2023                             Data Analyst
## 2971      2023                             Data Analyst
## 2972      2023                            Data Engineer
## 2973      2023                            Data Engineer
## 2974      2023                           Data Scientist
## 2975      2023                           Data Scientist
## 2976      2023                Machine Learning Engineer
## 2977      2023                Machine Learning Engineer
## 2978      2023                            Data Engineer
## 2979      2023                            Data Engineer
## 2980      2023                Machine Learning Engineer
## 2981      2023                Machine Learning Engineer
## 2982      2023                Data Science Practitioner
## 2983      2023                Data Science Practitioner
## 2984      2023                            Data Engineer
## 2985      2023                            Data Engineer
## 2986      2023                           Data Scientist
## 2987      2023                           Data Scientist
## 2988      2023               Data Management Specialist
## 2989      2023               Data Management Specialist
## 2990      2023                           Data Scientist
## 2991      2023                           Data Scientist
## 2992      2023                Machine Learning Engineer
## 2993      2023                Machine Learning Engineer
## 2994      2023                           Data Scientist
## 2995      2023                           Data Scientist
## 2996      2023                           Data Scientist
## 2997      2023                           Data Scientist
## 2998      2023           Business Intelligence Engineer
## 2999      2023           Business Intelligence Engineer
## 3000      2023                           Data Scientist
## 3001      2023                           Data Scientist
## 3002      2023                             Data Manager
## 3003      2023                             Data Manager
## 3004      2023                             Data Manager
## 3005      2023                             Data Manager
## 3006      2023                             Data Analyst
## 3007      2023                             Data Analyst
## 3008      2023                             Data Analyst
## 3009      2023                             Data Analyst
## 3010      2023                            Data Engineer
## 3011      2023                            Data Engineer
## 3012      2023                            Data Engineer
## 3013      2023                            Data Engineer
## 3014      2023                             Head of Data
## 3015      2023                             Head of Data
## 3016      2023                Machine Learning Engineer
## 3017      2023                Machine Learning Engineer
## 3018      2023                       Decision Scientist
## 3019      2023                       Decision Scientist
## 3020      2023                           Data Scientist
## 3021      2023                           Data Scientist
## 3022      2023                    Business Data Analyst
## 3023      2023                            Data Engineer
## 3024      2023                            Data Engineer
## 3025      2023           Business Intelligence Engineer
## 3026      2023           Business Intelligence Engineer
## 3027      2023                              AI Engineer
## 3028      2023                          Data Strategist
## 3029      2023                          Data Strategist
## 3030      2023                           Data Scientist
## 3031      2023                           Data Scientist
## 3032      2023                             Data Manager
## 3033      2023                             Data Manager
## 3034      2023                    Business Data Analyst
## 3035      2023                       Decision Scientist
## 3036      2023                       Decision Scientist
## 3037      2023                       Analytics Engineer
## 3038      2023                       Analytics Engineer
## 3039      2023                       Research Scientist
## 3040      2023                       Research Scientist
## 3041      2023                        Applied Scientist
## 3042      2023                        Applied Scientist
## 3043      2023                            Data Engineer
## 3044      2023                            Data Engineer
## 3045      2023                            Data Engineer
## 3046      2023                            Data Engineer
## 3047      2023                             Data Analyst
## 3048      2023                             Data Analyst
## 3049      2023                            Data Engineer
## 3050      2023                            Data Engineer
## 3051      2023                           Data Scientist
## 3052      2023                           Data Scientist
## 3053      2023                             Data Analyst
## 3054      2023                             Data Analyst
## 3055      2023                           Data Scientist
## 3056      2023                           Data Scientist
## 3057      2023                           Data Scientist
## 3058      2023                           Data Scientist
## 3059      2023                             Data Analyst
## 3060      2023                             Data Analyst
## 3061      2023                           Data Scientist
## 3062      2023                           Data Scientist
## 3063      2023                            Data Engineer
## 3064      2023                            Data Engineer
## 3065      2023                             Data Manager
## 3066      2023                             Data Manager
## 3067      2023                           Data Scientist
## 3068      2023                           Data Scientist
## 3069      2023                        Applied Scientist
## 3070      2023                        Applied Scientist
## 3071      2023                             Data Analyst
## 3072      2023                             Data Analyst
## 3073      2023                Machine Learning Engineer
## 3074      2023                Machine Learning Engineer
## 3075      2023                       Analytics Engineer
## 3076      2023                       Analytics Engineer
## 3077      2023                           Data Architect
## 3078      2023                           Data Architect
## 3079      2023                            Data Engineer
## 3080      2023                            Data Engineer
## 3081      2023                           Data Scientist
## 3082      2023                           Data Scientist
## 3083      2023                             Data Analyst
## 3084      2023                             Data Analyst
## 3085      2023                        Applied Scientist
## 3086      2023                        Applied Scientist
## 3087      2023                           Data Scientist
## 3088      2023                           Data Scientist
## 3089      2023                            Data Engineer
## 3090      2023                            Data Engineer
## 3091      2023                            Data Engineer
## 3092      2023                            Data Engineer
## 3093      2023                       Research Scientist
## 3094      2023                       Research Scientist
## 3095      2023                             Data Analyst
## 3096      2023                             Data Analyst
## 3097      2023                Machine Learning Engineer
## 3098      2023                Machine Learning Engineer
## 3099      2023                             Data Analyst
## 3100      2023                             Data Analyst
## 3101      2023                            Data Engineer
## 3102      2023                            Data Engineer
## 3103      2023                            Data Engineer
## 3104      2023                            Data Engineer
## 3105      2023                           Data Scientist
## 3106      2023                           Data Scientist
## 3107      2023                             Data Analyst
## 3108      2023                             Data Analyst
## 3109      2022       Applied Machine Learning Scientist
## 3110      2023                     AI Research Engineer
## 3111      2023                       Analytics Engineer
## 3112      2023                       Analytics Engineer
## 3113      2023                             Data Analyst
## 3114      2023                             Data Analyst
## 3115      2023                             Data Manager
## 3116      2023                             Data Manager
## 3117      2023                             Data Manager
## 3118      2023                             Data Manager
## 3119      2023           Business Intelligence Engineer
## 3120      2023           Business Intelligence Engineer
## 3121      2023                             Data Analyst
## 3122      2023                             Data Analyst
## 3123      2023                Machine Learning Engineer
## 3124      2023                Machine Learning Engineer
## 3125      2023                           Data Scientist
## 3126      2023                           Data Scientist
## 3127      2023                           Data Scientist
## 3128      2023                           Data Scientist
## 3129      2023                           Data Scientist
## 3130      2023                           Data Scientist
## 3131      2023                            Data Engineer
## 3132      2023                            Data Engineer
## 3133      2023                           Data Scientist
## 3134      2023                           Data Scientist
## 3135      2023                             Data Modeler
## 3136      2023                             Data Modeler
## 3137      2023                             Data Analyst
## 3138      2023                             Data Analyst
## 3139      2023                            Data Engineer
## 3140      2023                            Data Engineer
## 3141      2023                        Research Engineer
## 3142      2023                        Research Engineer
## 3143      2023                           Data Scientist
## 3144      2023                           Data Scientist
## 3145      2023           Business Intelligence Engineer
## 3146      2023           Business Intelligence Engineer
## 3147      2023                             BI Developer
## 3148      2023                             BI Developer
## 3149      2023                             Data Analyst
## 3150      2023                             Data Analyst
## 3151      2023              Data Integration Specialist
## 3152      2023              Data Integration Specialist
## 3153      2023                              ML Engineer
## 3154      2023                              ML Engineer
## 3155      2023                Machine Learning Engineer
## 3156      2023                Machine Learning Engineer
## 3157      2023                             AI Architect
## 3158      2023                             AI Architect
## 3159      2023                            Data Engineer
## 3160      2023                            Data Engineer
## 3161      2023                           Data Scientist
## 3162      2023                           Data Scientist
## 3163      2023                             Data Analyst
## 3164      2023                             Data Analyst
## 3165      2023                           Data Scientist
## 3166      2023                           Data Scientist
## 3167      2023                             Data Analyst
## 3168      2023                             Data Analyst
## 3169      2023                            Data Engineer
## 3170      2023                            Data Engineer
## 3171      2023                          Data Strategist
## 3172      2023                          Data Strategist
## 3173      2023               Machine Learning Scientist
## 3174      2023               Machine Learning Scientist
## 3175      2023                  Data Science Consultant
## 3176      2023                  Data Science Consultant
## 3177      2023                           Data Scientist
## 3178      2023                           Data Scientist
## 3179      2023                Machine Learning Engineer
## 3180      2023                Machine Learning Engineer
## 3181      2023                           Data Scientist
## 3182      2023                           Data Scientist
## 3183      2023                             Data Analyst
## 3184      2023                             Data Analyst
## 3185      2023                             Data Analyst
## 3186      2023                             Data Analyst
## 3187      2023                           Data Scientist
## 3188      2023                           Data Scientist
## 3189      2023                            Data Engineer
## 3190      2023                            Data Engineer
## 3191      2023                            Data Engineer
## 3192      2023                            Data Engineer
## 3193      2023                            Data Engineer
## 3194      2023                            Data Engineer
## 3195      2023                    Business Data Analyst
## 3196      2023                            Data Engineer
## 3197      2023                            Data Engineer
## 3198      2023                           Data Scientist
## 3199      2023                           Data Scientist
## 3200      2023                             Data Analyst
## 3201      2023                             Data Analyst
## 3202      2023                         Research Analyst
## 3203      2023                         Research Analyst
## 3204      2023                           Data Scientist
## 3205      2023                           Data Scientist
## 3206      2023           Business Intelligence Engineer
## 3207      2023           Business Intelligence Engineer
## 3208      2023                         Research Analyst
## 3209      2023                         Research Analyst
## 3210      2023                            Data Engineer
## 3211      2023                            Data Engineer
## 3212      2023                             Data Modeler
## 3213      2023                             Data Modeler
## 3214      2023                          Data Strategist
## 3215      2023                          Data Strategist
## 3216      2023                           Data Scientist
## 3217      2023                           Data Scientist
## 3218      2023                             Data Analyst
## 3219      2023                             Data Analyst
## 3220      2023                           Data Scientist
## 3221      2023                           Data Scientist
## 3222      2022                        Research Engineer
## 3223      2023                             Data Analyst
## 3224      2023                             Data Analyst
## 3225      2023                             Data Analyst
## 3226      2023                             Data Analyst
## 3227      2023                             BI Developer
## 3228      2023                             BI Developer
## 3229      2023                             Data Analyst
## 3230      2023                             Data Analyst
## 3231      2023                             Data Analyst
## 3232      2023                             Data Analyst
## 3233      2023                Machine Learning Engineer
## 3234      2023                Machine Learning Engineer
## 3235      2023                             Data Analyst
## 3236      2023                             Data Analyst
## 3237      2023                            Data Engineer
## 3238      2023                            Data Engineer
## 3239      2023                       Decision Scientist
## 3240      2023                       Decision Scientist
## 3241      2023                             Data Analyst
## 3242      2023                             Data Analyst
## 3243      2023                            Data Engineer
## 3244      2023                            Data Engineer
## 3245      2023                             Data Analyst
## 3246      2023                             Data Analyst
## 3247      2023                Machine Learning Engineer
## 3248      2023                Machine Learning Engineer
## 3249      2023                           Data Scientist
## 3250      2023                           Data Scientist
## 3251      2023                             Data Analyst
## 3252      2023                             Data Analyst
## 3253      2023                           Data Scientist
## 3254      2023                           Data Scientist
## 3255      2023                           Data Scientist
## 3256      2023                           Data Scientist
## 3257      2023                            Data Engineer
## 3258      2023                            Data Engineer
## 3259      2023                        Research Engineer
## 3260      2023                        Research Engineer
## 3261      2023                            Data Engineer
## 3262      2023                            Data Engineer
## 3263      2023                        Applied Scientist
## 3264      2023                        Applied Scientist
## 3265      2023                           Data Scientist
## 3266      2023                           Data Scientist
## 3267      2023                            Data Engineer
## 3268      2023                            Data Engineer
## 3269      2023                             Data Manager
## 3270      2023                             Data Manager
## 3271      2023           Business Intelligence Engineer
## 3272      2023           Business Intelligence Engineer
## 3273      2023                        Applied Scientist
## 3274      2023                        Applied Scientist
## 3275      2023                             Data Manager
## 3276      2023                             Data Manager
## 3277      2023                Machine Learning Engineer
## 3278      2023                Machine Learning Engineer
## 3279      2023                           Data Scientist
## 3280      2023                           Data Scientist
## 3281      2023                Machine Learning Engineer
## 3282      2023                Machine Learning Engineer
## 3283      2023                           Data Scientist
## 3284      2023                           Data Scientist
## 3285      2023                       Analytics Engineer
## 3286      2023                       Analytics Engineer
## 3287      2023                        Research Engineer
## 3288      2023                        Research Engineer
## 3289      2023                            Data Engineer
## 3290      2023                            Data Engineer
## 3291      2023                Machine Learning Engineer
## 3292      2023                Machine Learning Engineer
## 3293      2023                Machine Learning Engineer
## 3294      2023                Machine Learning Engineer
## 3295      2023                            Data Engineer
## 3296      2023                            Data Engineer
## 3297      2023                           Data Scientist
## 3298      2023                           Data Scientist
## 3299      2023                       Research Scientist
## 3300      2023                       Research Scientist
## 3301      2023                      Data Analytics Lead
## 3302      2023                      Data Analytics Lead
## 3303      2023                       Research Scientist
## 3304      2023                       Research Scientist
## 3305      2023                       Research Scientist
## 3306      2023                       Research Scientist
## 3307      2023                  Data Operations Analyst
## 3308      2023                  Data Operations Analyst
## 3309      2023                            Data Engineer
## 3310      2023                            Data Engineer
## 3311      2023                Machine Learning Engineer
## 3312      2023                Machine Learning Engineer
## 3313      2023                             Data Analyst
## 3314      2023                             Data Analyst
## 3315      2023                            Data Engineer
## 3316      2023                            Data Engineer
## 3317      2023                             Data Analyst
## 3318      2023                             Data Analyst
## 3319      2023                            Data Engineer
## 3320      2023                            Data Engineer
## 3321      2023                Machine Learning Engineer
## 3322      2023                Machine Learning Engineer
## 3323      2023                           Data Scientist
## 3324      2023                           Data Scientist
## 3325      2023                           Data Scientist
## 3326      2023                           Data Scientist
## 3327      2023                Machine Learning Engineer
## 3328      2023                Machine Learning Engineer
## 3329      2023                 Data Operations Engineer
## 3330      2023                 Data Operations Engineer
## 3331      2023                           Data Scientist
## 3332      2023                           Data Scientist
## 3333      2023                            Data Engineer
## 3334      2023                            Data Engineer
## 3335      2023                        Applied Scientist
## 3336      2023                        Applied Scientist
## 3337      2023                            Data Engineer
## 3338      2023                            Data Engineer
## 3339      2023                Machine Learning Engineer
## 3340      2023                Machine Learning Engineer
## 3341      2023                           Data Scientist
## 3342      2023                           Data Scientist
## 3343      2023                             Data Analyst
## 3344      2023                             Data Analyst
## 3345      2023                            Data Engineer
## 3346      2023                            Data Engineer
## 3347      2023                        Applied Scientist
## 3348      2023                        Applied Scientist
## 3349      2023                            Data Engineer
## 3350      2023                            Data Engineer
## 3351      2023                            Data Engineer
## 3352      2023                            Data Engineer
## 3353      2023                 Machine Learning Manager
## 3354      2023                          BI Data Analyst
## 3355      2023                              AI Engineer
## 3356      2023                              AI Engineer
## 3357      2023                             Data Analyst
## 3358      2023                             Data Analyst
## 3359      2023                            Data Engineer
## 3360      2023                            Data Engineer
## 3361      2023                                Data Lead
## 3362      2023                                Data Lead
## 3363      2023                Machine Learning Engineer
## 3364      2023                Machine Learning Engineer
## 3365      2023                            Data Engineer
## 3366      2023                            Data Engineer
## 3367      2023                             Data Analyst
## 3368      2023                             Data Analyst
## 3369      2023                Machine Learning Engineer
## 3370      2023                Machine Learning Engineer
## 3371      2023                              ML Engineer
## 3372      2023                              ML Engineer
## 3373      2023                           Data Scientist
## 3374      2023                           Data Scientist
## 3375      2023                            Data Engineer
## 3376      2023                            Data Engineer
## 3377      2023                Machine Learning Engineer
## 3378      2023                Machine Learning Engineer
## 3379      2023                            Data Engineer
## 3380      2023                            Data Engineer
## 3381      2023                            Data Engineer
## 3382      2023                            Data Engineer
## 3383      2023                          BI Data Analyst
## 3384      2023                Machine Learning Engineer
## 3385      2023                Machine Learning Engineer
## 3386      2023                            Data Engineer
## 3387      2023                            Data Engineer
## 3388      2023                             Data Analyst
## 3389      2023                             Data Analyst
## 3390      2023                             Data Analyst
## 3391      2023                             Data Analyst
## 3392      2023                             Data Modeler
## 3393      2023                             Data Modeler
## 3394      2023                       Research Scientist
## 3395      2023                       Research Scientist
## 3396      2023                           Data Scientist
## 3397      2023                           Data Scientist
## 3398      2023                Machine Learning Engineer
## 3399      2023                Machine Learning Engineer
## 3400      2023                             Data Analyst
## 3401      2023                             Data Analyst
## 3402      2023                            Data Engineer
## 3403      2023                            Data Engineer
## 3404      2023                       Analytics Engineer
## 3405      2023                       Analytics Engineer
## 3406      2023                           Data Scientist
## 3407      2023                           Data Scientist
## 3408      2023                Machine Learning Engineer
## 3409      2023                Machine Learning Engineer
## 3410      2023              Data Visualization Engineer
## 3411      2023              Data Visualization Engineer
## 3412      2023                       Research Scientist
## 3413      2023                       Research Scientist
## 3414      2023                           Data Architect
## 3415      2023                           Data Architect
## 3416      2023                             Data Modeler
## 3417      2023                             Data Modeler
## 3418      2023                       Analytics Engineer
## 3419      2023                       Analytics Engineer
## 3420      2023                       Research Scientist
## 3421      2023                       Research Scientist
## 3422      2023                             Data Manager
## 3423      2023                             Data Manager
## 3424      2023                            Data Engineer
## 3425      2023                            Data Engineer
## 3426      2023                            Data Engineer
## 3427      2023                            Data Engineer
## 3428      2023          Business Intelligence Developer
## 3429      2023          Business Intelligence Developer
## 3430      2023                       Analytics Engineer
## 3431      2023                       Analytics Engineer
## 3432      2023                Machine Learning Engineer
## 3433      2023                Machine Learning Engineer
## 3434      2023                             BI Developer
## 3435      2023                             BI Developer
## 3436      2023                           Data Scientist
## 3437      2023                           Data Scientist
## 3438      2023           Business Intelligence Engineer
## 3439      2023           Business Intelligence Engineer
## 3440      2023                            Data Engineer
## 3441      2023                            Data Engineer
## 3442      2023                          Data Specialist
## 3443      2023                          Data Specialist
## 3444      2023                           Data Scientist
## 3445      2023                           Data Scientist
## 3446      2023                        Research Engineer
## 3447      2023                        Research Engineer
## 3448      2023                           Data Scientist
## 3449      2023                           Data Scientist
## 3450      2023            Business Intelligence Analyst
## 3451      2023            Business Intelligence Analyst
## 3452      2023                             Data Analyst
## 3453      2023                             Data Analyst
## 3454      2023                      Lead Data Scientist
## 3455      2023                            Data Engineer
## 3456      2023                            Data Engineer
## 3457      2023                           Data Scientist
## 3458      2023                           Data Scientist
## 3459      2023           Business Intelligence Engineer
## 3460      2023           Business Intelligence Engineer
## 3461      2023                        Applied Scientist
## 3462      2023                        Applied Scientist
## 3463      2023                           Data Architect
## 3464      2023                           Data Architect
## 3465      2023                 Director of Data Science
## 3466      2023                 Director of Data Science
## 3467      2023                             Data Manager
## 3468      2023                             Data Manager
## 3469      2023                           Data Scientist
## 3470      2023                           Data Scientist
## 3471      2023                              ML Engineer
## 3472      2023                              ML Engineer
## 3473      2023                           Data Scientist
## 3474      2023                           Data Scientist
## 3475      2023                           Data Scientist
## 3476      2023                           Data Scientist
## 3477      2023           Business Intelligence Engineer
## 3478      2023           Business Intelligence Engineer
## 3479      2023                          Data Specialist
## 3480      2023                          Data Specialist
## 3481      2023                           Data Scientist
## 3482      2023                           Data Scientist
## 3483      2023                            Data Engineer
## 3484      2023                            Data Engineer
## 3485      2023                       Research Scientist
## 3486      2023                       Research Scientist
## 3487      2023                            Data Engineer
## 3488      2023                            Data Engineer
## 3489      2023      Principal Machine Learning Engineer
## 3490      2023                  Principal Data Engineer
## 3491      2023                             Data Analyst
## 3492      2023                             Data Analyst
## 3493      2023                           Data Scientist
## 3494      2023                           Data Scientist
## 3495      2023                            Data Engineer
## 3496      2023                            Data Engineer
## 3497      2023                Machine Learning Engineer
## 3498      2023                Machine Learning Engineer
## 3499      2023                   Data Analytics Manager
## 3500      2023                   Data Analytics Manager
## 3501      2023           Business Intelligence Engineer
## 3502      2023           Business Intelligence Engineer
## 3503      2023                             Data Analyst
## 3504      2023                             Data Analyst
## 3505      2023                           Data Scientist
## 3506      2023                           Data Scientist
## 3507      2023                           Data Scientist
## 3508      2023                           Data Scientist
## 3509      2023                             Data Analyst
## 3510      2023                             Data Analyst
## 3511      2023                             Data Analyst
## 3512      2023                             Data Analyst
## 3513      2023                     AI Research Engineer
## 3514      2023                           Data Scientist
## 3515      2023                           Data Scientist
## 3516      2023                            Data Engineer
## 3517      2023                            Data Engineer
## 3518      2023            Business Intelligence Analyst
## 3519      2023            Business Intelligence Analyst
## 3520      2023                             BI Developer
## 3521      2023                             BI Developer
## 3522      2023                           Data Scientist
## 3523      2023                           Data Scientist
## 3524      2023                   Data Analytics Manager
## 3525      2023                   Data Analytics Manager
## 3526      2023                             Data Analyst
## 3527      2023                             Data Analyst
## 3528      2023                            Data Engineer
## 3529      2023                            Data Engineer
## 3530      2023                           Data Architect
## 3531      2023                           Data Architect
## 3532      2023                           Data Scientist
## 3533      2023                           Data Scientist
## 3534      2023           Business Intelligence Engineer
## 3535      2023           Business Intelligence Engineer
## 3536      2023                     Data Science Manager
## 3537      2023                     Data Science Manager
## 3538      2023                             Data Analyst
## 3539      2023                             Data Analyst
## 3540      2023                            Data Engineer
## 3541      2023                            Data Engineer
## 3542      2023                             Data Analyst
## 3543      2023                             Data Analyst
## 3544      2023                            Data Engineer
## 3545      2023                            Data Engineer
## 3546      2023                           Data Scientist
## 3547      2023                           Data Scientist
## 3548      2023                            Data Engineer
## 3549      2023                            Data Engineer
## 3550      2023                             Data Analyst
## 3551      2023                             Data Analyst
## 3552      2023                           Data Scientist
## 3553      2023                           Data Scientist
## 3554      2023                            Data Engineer
## 3555      2023                            Data Engineer
## 3556      2023                           Data Scientist
## 3557      2023                           Data Scientist
## 3558      2023           Business Intelligence Engineer
## 3559      2023           Business Intelligence Engineer
## 3560      2023            Business Intelligence Analyst
## 3561      2023            Business Intelligence Analyst
## 3562      2023                       Analytics Engineer
## 3563      2023                       Analytics Engineer
## 3564      2023                       Decision Scientist
## 3565      2023                       Decision Scientist
## 3566      2023                             Data Analyst
## 3567      2023                             Data Analyst
## 3568      2023                        Research Engineer
## 3569      2023                        Research Engineer
## 3570      2023                         Research Analyst
## 3571      2023                         Research Analyst
## 3572      2023                            Data Engineer
## 3573      2023                            Data Engineer
## 3574      2023                           Data Scientist
## 3575      2023                           Data Scientist
## 3576      2023                       Research Scientist
## 3577      2023                       Research Scientist
## 3578      2023                Machine Learning Engineer
## 3579      2023                Machine Learning Engineer
## 3580      2023                           Data Scientist
## 3581      2023                           Data Scientist
## 3582      2023                       Analytics Engineer
## 3583      2023                       Analytics Engineer
## 3584      2023                Machine Learning Engineer
## 3585      2023                Machine Learning Engineer
## 3586      2023                             AI Developer
## 3587      2023               Machine Learning Scientist
## 3588      2023               Machine Learning Scientist
## 3589      2023               Machine Learning Scientist
## 3590      2023               Machine Learning Scientist
## 3591      2023            Business Intelligence Analyst
## 3592      2023            Business Intelligence Analyst
## 3593      2023                            Data Engineer
## 3594      2023                            Data Engineer
## 3595      2023                            Data Engineer
## 3596      2023                            Data Engineer
## 3597      2023                            Data Engineer
## 3598      2023                            Data Engineer
## 3599      2023                       Research Scientist
## 3600      2023                       Research Scientist
## 3601      2023                             Data Analyst
## 3602      2023                             Data Analyst
## 3603      2023                            Data Engineer
## 3604      2023                            Data Engineer
## 3605      2023                            Data Engineer
## 3606      2023                            Data Engineer
## 3607      2023                            Data Engineer
## 3608      2023                            Data Engineer
## 3609      2023                           Data Scientist
## 3610      2023                           Data Scientist
## 3611      2023                             Data Analyst
## 3612      2023                             Data Analyst
## 3613      2023                Machine Learning Engineer
## 3614      2023                Machine Learning Engineer
## 3615      2023                            Data Engineer
## 3616      2023                            Data Engineer
## 3617      2023                            Data Engineer
## 3618      2023                            Data Engineer
## 3619      2023                           Data Scientist
## 3620      2023                           Data Scientist
## 3621      2023                           Data Scientist
## 3622      2023                           Data Scientist
## 3623      2023                       Power BI Developer
## 3624      2023                             Data Analyst
## 3625      2023                             Data Analyst
## 3626      2023                            Data Engineer
## 3627      2023                            Data Engineer
## 3628      2023                            Data Engineer
## 3629      2023                            Data Engineer
## 3630      2023                             Data Analyst
## 3631      2023                             Data Analyst
## 3632      2023                            Data Engineer
## 3633      2023                            Data Engineer
## 3634      2023                 Data Operations Engineer
## 3635      2023                 Data Operations Engineer
## 3636      2023                     Data Quality Analyst
## 3637      2023                     Data Quality Analyst
## 3638      2023                             Data Analyst
## 3639      2023                             Data Analyst
## 3640      2023           Business Intelligence Engineer
## 3641      2023           Business Intelligence Engineer
## 3642      2023                             Data Analyst
## 3643      2023                             Data Analyst
## 3644      2023                           Data Scientist
## 3645      2023                           Data Scientist
## 3646      2023                           Data Scientist
## 3647      2023                           Data Scientist
## 3648      2023                            Data Engineer
## 3649      2023                            Data Engineer
## 3650      2023                           Data Scientist
## 3651      2023                           Data Scientist
## 3652      2023                Machine Learning Engineer
## 3653      2023                Machine Learning Engineer
## 3654      2023                            Data Engineer
## 3655      2023                            Data Engineer
## 3656      2023                             Data Analyst
## 3657      2023                             Data Analyst
## 3658      2023                           Data Scientist
## 3659      2023                           Data Scientist
## 3660      2023                           Data Scientist
## 3661      2023                           Data Scientist
## 3662      2023                Machine Learning Engineer
## 3663      2023                Machine Learning Engineer
## 3664      2023                           Data Scientist
## 3665      2023                           Data Scientist
## 3666      2023                       Analytics Engineer
## 3667      2023                       Analytics Engineer
## 3668      2023                            Data Engineer
## 3669      2023                            Data Engineer
## 3670      2023                            Data Engineer
## 3671      2023                            Data Engineer
## 3672      2023           Business Intelligence Engineer
## 3673      2023           Business Intelligence Engineer
## 3674      2023                             Data Analyst
## 3675      2023                             Data Analyst
## 3676      2023                           Data Scientist
## 3677      2023                           Data Scientist
## 3678      2023                             Data Analyst
## 3679      2023                             Data Analyst
## 3680      2023                  Data Science Consultant
## 3681      2023                  Data Science Consultant
## 3682      2023                           Data Scientist
## 3683      2023                           Data Scientist
## 3684      2022          Business Intelligence Developer
## 3685      2023                   Applied Data Scientist
## 3686      2023                           Data Scientist
## 3687      2023                           Data Scientist
## 3688      2023                             Data Analyst
## 3689      2023                             Data Analyst
## 3690      2023                            Data Engineer
## 3691      2023                            Data Engineer
## 3692      2023                   Data Analytics Manager
## 3693      2023                   Data Analytics Manager
## 3694      2023                        Research Engineer
## 3695      2023                        Research Engineer
## 3696      2023                           Data Scientist
## 3697      2023                           Data Scientist
## 3698      2023                            Data Engineer
## 3699      2023                            Data Engineer
## 3700      2023                             Data Analyst
## 3701      2023                             Data Analyst
## 3702      2023                           Data Scientist
## 3703      2023                           Data Scientist
## 3704      2023                            Data Engineer
## 3705      2023                            Data Engineer
## 3706      2023                     Head of Data Science
## 3707      2023                           Data Scientist
## 3708      2023                           Data Scientist
## 3709      2023                              ML Engineer
## 3710      2023                              ML Engineer
## 3711      2023                             Data Analyst
## 3712      2023                             Data Analyst
## 3713      2023                           Data Scientist
## 3714      2023                           Data Scientist
## 3715      2023                            Data Engineer
## 3716      2023                            Data Engineer
## 3717      2023                          Data Strategist
## 3718      2023                          Data Strategist
## 3719      2023                Machine Learning Engineer
## 3720      2023                Machine Learning Engineer
## 3721      2023                           Data Scientist
## 3722      2023                           Data Scientist
## 3723      2023                             Data Analyst
## 3724      2023                             Data Analyst
## 3725      2023                        Research Engineer
## 3726      2023                        Research Engineer
## 3727      2023                            Data Engineer
## 3728      2023                            Data Engineer
## 3729      2023                            Data Engineer
## 3730      2023                            Data Engineer
## 3731      2023                           Data Scientist
## 3732      2023                           Data Scientist
## 3733      2023                           Data Scientist
## 3734      2023                           Data Scientist
## 3735      2023                            Data Engineer
## 3736      2023                            Data Engineer
## 3737      2023                       Analytics Engineer
## 3738      2023                       Analytics Engineer
## 3739      2023                            Data Engineer
## 3740      2023                            Data Engineer
## 3741      2023          Business Intelligence Developer
## 3742      2023          Business Intelligence Developer
## 3743      2023                           Data Scientist
## 3744      2023                           Data Scientist
## 3745      2023                           Data Scientist
## 3746      2023                           Data Scientist
## 3747      2023                Machine Learning Engineer
## 3748      2023                Machine Learning Engineer
## 3749      2023                           Data Scientist
## 3750      2023                           Data Scientist
## 3751      2023                             Data Analyst
## 3752      2023                             Data Analyst
## 3753      2023                           Data Scientist
## 3754      2023                           Data Scientist
## 3755      2023                Machine Learning Engineer
## 3756      2023                Machine Learning Engineer
## 3757      2023                Machine Learning Engineer
## 3758      2023                Machine Learning Engineer
## 3759      2023                       Decision Scientist
## 3760      2023                       Decision Scientist
## 3761      2023                             BI Developer
## 3762      2023                             BI Developer
## 3763      2023               Machine Learning Scientist
## 3764      2023               Machine Learning Scientist
## 3765      2023                               BI Analyst
## 3766      2023                               BI Analyst
## 3767      2023                             Data Manager
## 3768      2023                             Data Manager
## 3769      2023                            Data Engineer
## 3770      2023                            Data Engineer
## 3771      2023                Machine Learning Engineer
## 3772      2023                Machine Learning Engineer
## 3773      2023                               BI Analyst
## 3774      2023                               BI Analyst
## 3775      2023                            Data Engineer
## 3776      2023                            Data Engineer
## 3777      2023           Business Intelligence Engineer
## 3778      2023           Business Intelligence Engineer
## 3779      2023                           Data Scientist
## 3780      2023                           Data Scientist
## 3781      2023                Machine Learning Engineer
## 3782      2023                Machine Learning Engineer
## 3783      2023                             Data Analyst
## 3784      2023                             Data Analyst
## 3785      2023                Machine Learning Engineer
## 3786      2023                Machine Learning Engineer
## 3787      2023                              ML Engineer
## 3788      2023                              ML Engineer
## 3789      2023           Business Intelligence Engineer
## 3790      2023           Business Intelligence Engineer
## 3791      2023                Machine Learning Engineer
## 3792      2023                Machine Learning Engineer
## 3793      2023                           Data Scientist
## 3794      2023                           Data Scientist
## 3795      2023                           Data Scientist
## 3796      2023                           Data Scientist
## 3797      2023                            Data Engineer
## 3798      2023                            Data Engineer
## 3799      2023                     Data Science Manager
## 3800      2023                     Data Science Manager
## 3801      2023                           Data Scientist
## 3802      2023                           Data Scientist
## 3803      2023                            AI Programmer
## 3804      2023                           Data Scientist
## 3805      2023                           Data Scientist
## 3806      2023                           Data Scientist
## 3807      2023                              ML Engineer
## 3808      2023                              ML Engineer
## 3809      2023                        Applied Scientist
## 3810      2023                        Applied Scientist
## 3811      2023                           Data Scientist
## 3812      2023                           Data Scientist
## 3813      2023                             Data Analyst
## 3814      2023                             Data Analyst
## 3815      2023                            Data Engineer
## 3816      2023                            Data Engineer
## 3817      2023                           Data Scientist
## 3818      2023                           Data Scientist
## 3819      2023                       Analytics Engineer
## 3820      2023                       Analytics Engineer
## 3821      2023                            Data Engineer
## 3822      2023                            Data Engineer
## 3823      2023                        Applied Scientist
## 3824      2023                        Applied Scientist
## 3825      2023                            Data Engineer
## 3826      2023                            Data Engineer
## 3827      2023                        Applied Scientist
## 3828      2023                        Applied Scientist
## 3829      2023                            Data Engineer
## 3830      2023                            Data Engineer
## 3831      2023                            Data Engineer
## 3832      2023                            Data Engineer
## 3833      2023                           Data Scientist
## 3834      2023                           Data Scientist
## 3835      2023                   Data Analytics Manager
## 3836      2023                   Data Analytics Manager
## 3837      2023                             Data Analyst
## 3838      2023                             Data Analyst
## 3839      2023                            Data Engineer
## 3840      2023                            Data Engineer
## 3841      2023                        Research Engineer
## 3842      2023                Machine Learning Engineer
## 3843      2023                Machine Learning Engineer
## 3844      2023                            Data Engineer
## 3845      2023                            Data Engineer
## 3846      2023                Machine Learning Engineer
## 3847      2023                Machine Learning Engineer
## 3848      2023                            Data Engineer
## 3849      2023                            Data Engineer
## 3850      2023                            Data Engineer
## 3851      2023                            Data Engineer
## 3852      2023                        Applied Scientist
## 3853      2023                        Applied Scientist
## 3854      2023                           Data Scientist
## 3855      2023                           Data Scientist
## 3856      2023                            Data Engineer
## 3857      2023                            Data Engineer
## 3858      2023                            Data Engineer
## 3859      2023                            Data Engineer
## 3860      2023                           Data Scientist
## 3861      2023                           Data Scientist
## 3862      2023                        Research Engineer
## 3863      2023                        Research Engineer
## 3864      2023                              ML Engineer
## 3865      2023                              ML Engineer
## 3866      2023                           Data Scientist
## 3867      2023                           Data Scientist
## 3868      2023                             Data Analyst
## 3869      2023                             Data Analyst
## 3870      2023                Machine Learning Engineer
## 3871      2023                Machine Learning Engineer
## 3872      2023                            Data Engineer
## 3873      2023                            Data Engineer
## 3874      2023                             Data Analyst
## 3875      2023                             Data Analyst
## 3876      2023                             Data Analyst
## 3877      2023                             Data Analyst
## 3878      2023                           Data Scientist
## 3879      2023                           Data Scientist
## 3880      2023                           Data Scientist
## 3881      2023                           Data Scientist
## 3882      2023                       Research Scientist
## 3883      2023                       Research Scientist
## 3884      2023                             Data Analyst
## 3885      2023                             Data Analyst
## 3886      2023                        Applied Scientist
## 3887      2023                        Applied Scientist
## 3888      2023                                Data Lead
## 3889      2023                                Data Lead
## 3890      2023                Machine Learning Engineer
## 3891      2023                Machine Learning Engineer
## 3892      2023                          Data Strategist
## 3893      2023                          Data Strategist
## 3894      2023                       Analytics Engineer
## 3895      2023                       Analytics Engineer
## 3896      2023                     Data Quality Analyst
## 3897      2023                     Data Quality Analyst
## 3898      2023                            Data Engineer
## 3899      2023                            Data Engineer
## 3900      2023                             Data Analyst
## 3901      2023                             Data Analyst
## 3902      2023                             Data Analyst
## 3903      2023                             Data Analyst
## 3904      2023                       Research Scientist
## 3905      2023                       Research Scientist
## 3906      2023                             Data Analyst
## 3907      2023                             Data Analyst
## 3908      2023                           Data Scientist
## 3909      2023                           Data Scientist
## 3910      2023                        Applied Scientist
## 3911      2023                        Applied Scientist
## 3912      2023                            Data Engineer
## 3913      2023                            Data Engineer
## 3914      2023                            Data Engineer
## 3915      2023                            Data Engineer
## 3916      2023                            Data Engineer
## 3917      2023                            Data Engineer
## 3918      2023                        Applied Scientist
## 3919      2023                        Applied Scientist
## 3920      2023                             Data Analyst
## 3921      2023                             Data Analyst
## 3922      2023                       Research Scientist
## 3923      2023                       Research Scientist
## 3924      2023                       Research Scientist
## 3925      2023                       Research Scientist
## 3926      2023                Machine Learning Engineer
## 3927      2023                Machine Learning Engineer
## 3928      2023                           Data Scientist
## 3929      2023                           Data Scientist
## 3930      2023                             Data Analyst
## 3931      2023                             Data Analyst
## 3932      2023                             Data Analyst
## 3933      2023                             Data Analyst
## 3934      2023                             Data Analyst
## 3935      2023                             Data Analyst
## 3936      2023                           Data Scientist
## 3937      2023                           Data Scientist
## 3938      2023                            Data Engineer
## 3939      2023                            Data Engineer
## 3940      2023                           Data Scientist
## 3941      2023                           Data Scientist
## 3942      2023           Business Intelligence Engineer
## 3943      2023           Business Intelligence Engineer
## 3944      2023                Machine Learning Engineer
## 3945      2023                Machine Learning Engineer
## 3946      2023                            Data Engineer
## 3947      2023                            Data Engineer
## 3948      2023                            Data Engineer
## 3949      2023                            Data Engineer
## 3950      2023                             Data Analyst
## 3951      2023                             Data Analyst
## 3952      2023                Machine Learning Engineer
## 3953      2023                Machine Learning Engineer
## 3954      2023                           Data Scientist
## 3955      2023                           Data Scientist
## 3956      2023                           Data Scientist
## 3957      2023                           Data Scientist
## 3958      2023                           Data Scientist
## 3959      2023                           Data Scientist
## 3960      2023                            Data Engineer
## 3961      2023                            Data Engineer
## 3962      2023                Machine Learning Engineer
## 3963      2023                Machine Learning Engineer
## 3964      2023                           Data Architect
## 3965      2023                           Data Architect
## 3966      2023                           Data Scientist
## 3967      2023                           Data Scientist
## 3968      2023                             AI Architect
## 3969      2023                             AI Architect
## 3970      2023                Machine Learning Engineer
## 3971      2023                Machine Learning Engineer
## 3972      2023                            Data Engineer
## 3973      2023                            Data Engineer
## 3974      2023                            Data Engineer
## 3975      2023                            Data Engineer
## 3976      2023                Machine Learning Engineer
## 3977      2023                Machine Learning Engineer
## 3978      2023                            Data Engineer
## 3979      2023                            Data Engineer
## 3980      2023               Machine Learning Scientist
## 3981      2023               Machine Learning Scientist
## 3982      2023                            Data Engineer
## 3983      2023                            Data Engineer
## 3984      2023                             Data Manager
## 3985      2023                             Data Manager
## 3986      2023                           Data Scientist
## 3987      2023                           Data Scientist
## 3988      2023                           Data Scientist
## 3989      2023                           Data Scientist
## 3990      2023                            Data Engineer
## 3991      2023                            Data Engineer
## 3992      2023                        Applied Scientist
## 3993      2023                        Applied Scientist
## 3994      2023                            Data Engineer
## 3995      2023                            Data Engineer
## 3996      2023                           Data Scientist
## 3997      2023                           Data Scientist
## 3998      2023                            Data Engineer
## 3999      2023                            Data Engineer
## 4000      2023                           Data Scientist
## 4001      2023                           Data Scientist
## 4002      2023                 Computer Vision Engineer
## 4003      2023                 Computer Vision Engineer
## 4004      2023                             Data Analyst
## 4005      2023                             Data Analyst
## 4006      2023                             Data Analyst
## 4007      2023                             Data Analyst
## 4008      2023                            Data Engineer
## 4009      2023                            Data Engineer
## 4010      2023          Business Intelligence Developer
## 4011      2023          Business Intelligence Developer
## 4012      2023            Business Intelligence Analyst
## 4013      2023            Business Intelligence Analyst
## 4014      2023                            Data Engineer
## 4015      2023                            Data Engineer
## 4016      2023                Machine Learning Engineer
## 4017      2023                Machine Learning Engineer
## 4018      2023                            Data Engineer
## 4019      2023                            Data Engineer
## 4020      2023                             Data Analyst
## 4021      2023                             Data Analyst
## 4022      2023                           Data Scientist
## 4023      2023                           Data Scientist
## 4024      2023                           Data Architect
## 4025      2023                           Data Architect
## 4026      2023                            Data Engineer
## 4027      2023                            Data Engineer
## 4028      2023                        Research Engineer
## 4029      2023                        Research Engineer
## 4030      2023                Machine Learning Engineer
## 4031      2023                Machine Learning Engineer
## 4032      2023                             Data Analyst
## 4033      2023                             Data Analyst
## 4034      2023                             Data Analyst
## 4035      2023                             Data Analyst
## 4036      2023                             Data Analyst
## 4037      2023                             Data Analyst
## 4038      2023                           Data Scientist
## 4039      2023                           Data Scientist
## 4040      2023                            Data Engineer
## 4041      2023                            Data Engineer
## 4042      2023                            Data Engineer
## 4043      2023                            Data Engineer
## 4044      2023                           Data Scientist
## 4045      2023                           Data Scientist
## 4046      2023                             Data Analyst
## 4047      2023                             Data Analyst
## 4048      2023                             Data Analyst
## 4049      2023                             Data Analyst
## 4050      2023                            Data Engineer
## 4051      2023                            Data Engineer
## 4052      2023                            Data Engineer
## 4053      2023                            Data Engineer
## 4054      2023                Machine Learning Engineer
## 4055      2023                Machine Learning Engineer
## 4056      2023                           Data Scientist
## 4057      2023                           Data Scientist
## 4058      2023                        Applied Scientist
## 4059      2023                        Applied Scientist
## 4060      2023                           Data Scientist
## 4061      2023                           Data Scientist
## 4062      2023                             BI Developer
## 4063      2023                             BI Developer
## 4064      2023                            Data Engineer
## 4065      2023                            Data Engineer
## 4066      2023                Machine Learning Engineer
## 4067      2023                Machine Learning Engineer
## 4068      2023                       Research Scientist
## 4069      2023                       Research Scientist
## 4070      2023                            Data Engineer
## 4071      2023                            Data Engineer
## 4072      2023                Machine Learning Engineer
## 4073      2023                Machine Learning Engineer
## 4074      2023                        Applied Scientist
## 4075      2023                        Applied Scientist
## 4076      2023                             Data Analyst
## 4077      2023                             Data Analyst
## 4078      2023                            Data Engineer
## 4079      2023                            Data Engineer
## 4080      2023                        Applied Scientist
## 4081      2023                        Applied Scientist
## 4082      2023                Machine Learning Engineer
## 4083      2023                Machine Learning Engineer
## 4084      2023                 Principal Data Scientist
## 4085      2023                             Data Analyst
## 4086      2023                             Data Analyst
## 4087      2023                             Data Analyst
## 4088      2023                             Data Analyst
## 4089      2023                           Data Architect
## 4090      2023                           Data Architect
## 4091      2023                             Data Analyst
## 4092      2023                             Data Analyst
## 4093      2023                            Data Engineer
## 4094      2023                            Data Engineer
## 4095      2023                           Data Architect
## 4096      2023                           Data Architect
## 4097      2023                             Data Analyst
## 4098      2023                             Data Analyst
## 4099      2023                        Applied Scientist
## 4100      2023                        Applied Scientist
## 4101      2023                              ML Engineer
## 4102      2023                              ML Engineer
## 4103      2023                           Data Scientist
## 4104      2023                           Data Scientist
## 4105      2023                Machine Learning Engineer
## 4106      2023                Machine Learning Engineer
## 4107      2023                        Applied Scientist
## 4108      2023                        Applied Scientist
## 4109      2023                           Data Scientist
## 4110      2023                           Data Scientist
## 4111      2023                            Data Engineer
## 4112      2023                            Data Engineer
## 4113      2023                           Data Scientist
## 4114      2023                           Data Scientist
## 4115      2021          Staff Machine Learning Engineer
## 4116      2020                     Staff Data Scientist
## 4117      2023                            Data Engineer
## 4118      2023                            Data Engineer
## 4119      2023                            Data Engineer
## 4120      2023                            Data Engineer
## 4121      2023                           Data Scientist
## 4122      2023                           Data Scientist
## 4123      2023                           Data Scientist
## 4124      2023                           Data Scientist
## 4125      2023                            Data Engineer
## 4126      2023                            Data Engineer
## 4127      2023                            Data Engineer
## 4128      2023                            Data Engineer
## 4129      2023                        Applied Scientist
## 4130      2023                        Applied Scientist
## 4131      2023                           Data Scientist
## 4132      2023                           Data Scientist
## 4133      2023                            Data Engineer
## 4134      2023                            Data Engineer
## 4135      2023                        Applied Scientist
## 4136      2023                        Applied Scientist
## 4137      2023                             Data Analyst
## 4138      2023                             Data Analyst
## 4139      2023                            Data Engineer
## 4140      2023                            Data Engineer
## 4141      2023                       Research Scientist
## 4142      2023                       Research Scientist
## 4143      2023                Machine Learning Engineer
## 4144      2023                 Consultant Data Engineer
## 4145      2023                             Data Analyst
## 4146      2023                             BI Developer
## 4147      2023                             BI Developer
## 4148      2023                Machine Learning Engineer
## 4149      2023                Machine Learning Engineer
## 4150      2023                           Data Scientist
## 4151      2023                           Data Scientist
## 4152      2023                            Data Engineer
## 4153      2023                            Data Engineer
## 4154      2023                           Data Scientist
## 4155      2023                           Data Scientist
## 4156      2023                            Data Engineer
## 4157      2023                            Data Engineer
## 4158      2023                             Data Analyst
## 4159      2023                            Data Engineer
## 4160      2023                            Data Engineer
## 4161      2023                            Data Engineer
## 4162      2023                            Data Engineer
## 4163      2023            Business Intelligence Analyst
## 4164      2023            Business Intelligence Analyst
## 4165      2023                Machine Learning Engineer
## 4166      2023                Machine Learning Engineer
## 4167      2023                            Data Engineer
## 4168      2023                            Data Engineer
## 4169      2023                            Data Engineer
## 4170      2023                            Data Engineer
## 4171      2023                             Data Analyst
## 4172      2023                             Data Analyst
## 4173      2023                           Data Scientist
## 4174      2023                           Data Scientist
## 4175      2023                Machine Learning Engineer
## 4176      2023                Machine Learning Engineer
## 4177      2023                            Data Engineer
## 4178      2023                            Data Engineer
## 4179      2023                           Data Scientist
## 4180      2023                           Data Scientist
## 4181      2023                            Data Engineer
## 4182      2023                            Data Engineer
## 4183      2023                           Data Scientist
## 4184      2023                           Data Scientist
## 4185      2023          Business Intelligence Developer
## 4186      2023          Business Intelligence Developer
## 4187      2023                        Research Engineer
## 4188      2023                        Research Engineer
## 4189      2023                             Data Analyst
## 4190      2023                             Data Analyst
## 4191      2023                             Data Analyst
## 4192      2023                             Data Analyst
## 4193      2023            Business Intelligence Analyst
## 4194      2023            Business Intelligence Analyst
## 4195      2023                               BI Analyst
## 4196      2023                           Data Scientist
## 4197      2023                           Data Scientist
## 4198      2023                             BI Developer
## 4199      2023                             BI Developer
## 4200      2023                       Research Scientist
## 4201      2023                       Research Scientist
## 4202      2023                           Data Scientist
## 4203      2023                           Data Scientist
## 4204      2023                           Data Scientist
## 4205      2023                           Data Scientist
## 4206      2023                           Data Scientist
## 4207      2023                           Data Scientist
## 4208      2023                             Data Analyst
## 4209      2023                             Data Analyst
## 4210      2023              Machine Learning Specialist
## 4211      2023              Machine Learning Specialist
## 4212      2023                       Research Scientist
## 4213      2023                       Research Scientist
## 4214      2023                             Data Analyst
## 4215      2023                             Data Analyst
## 4216      2023                            Data Engineer
## 4217      2023                            Data Engineer
## 4218      2023                            Data Engineer
## 4219      2023                            Data Engineer
## 4220      2023                Machine Learning Engineer
## 4221      2023                Machine Learning Engineer
## 4222      2023                       Research Scientist
## 4223      2023                       Research Scientist
## 4224      2023                       Research Scientist
## 4225      2023                       Research Scientist
## 4226      2023                           Data Scientist
## 4227      2023                           Data Scientist
## 4228      2023                       Analytics Engineer
## 4229      2023                       Analytics Engineer
## 4230      2023                Machine Learning Engineer
## 4231      2023                Machine Learning Engineer
## 4232      2023                             Head of Data
## 4233      2023           Business Intelligence Engineer
## 4234      2023           Business Intelligence Engineer
## 4235      2023                            Data Engineer
## 4236      2023                            Data Engineer
## 4237      2023                           Data Scientist
## 4238      2023                           Data Scientist
## 4239      2023                        Applied Scientist
## 4240      2023                        Applied Scientist
## 4241      2023                             Data Analyst
## 4242      2023                             Data Analyst
## 4243      2023                            Data Engineer
## 4244      2023                            Data Engineer
## 4245      2023                             Data Manager
## 4246      2023                             Data Manager
## 4247      2023                            Data Engineer
## 4248      2023                            Data Engineer
## 4249      2023                    Data Quality Engineer
## 4250      2023                         Research Analyst
## 4251      2023                         Research Analyst
## 4252      2023                         Research Analyst
## 4253      2023                         Research Analyst
## 4254      2023                Machine Learning Engineer
## 4255      2023                Machine Learning Engineer
## 4256      2023                Machine Learning Engineer
## 4257      2023                Machine Learning Engineer
## 4258      2023                            Data Engineer
## 4259      2023                            Data Engineer
## 4260      2023                Machine Learning Engineer
## 4261      2023                Machine Learning Engineer
## 4262      2023                            Data Engineer
## 4263      2023                            Data Engineer
## 4264      2023                         Research Analyst
## 4265      2023                         Research Analyst
## 4266      2023                Machine Learning Engineer
## 4267      2023                Machine Learning Engineer
## 4268      2023                Machine Learning Engineer
## 4269      2023                Machine Learning Engineer
## 4270      2023                            Data Engineer
## 4271      2023                            Data Engineer
## 4272      2023                            Data Engineer
## 4273      2023                            Data Engineer
## 4274      2023                             Data Analyst
## 4275      2023                             Data Analyst
## 4276      2023                       Research Scientist
## 4277      2023                       Research Scientist
## 4278      2023                            Data Engineer
## 4279      2023                            Data Engineer
## 4280      2023                       Research Scientist
## 4281      2023                       Research Scientist
## 4282      2023                Machine Learning Engineer
## 4283      2023                Machine Learning Engineer
## 4284      2023                              ML Engineer
## 4285      2023                              ML Engineer
## 4286      2023                        Research Engineer
## 4287      2023                        Research Engineer
## 4288      2023                           Data Scientist
## 4289      2023                           Data Scientist
## 4290      2023                        Applied Scientist
## 4291      2023                        Applied Scientist
## 4292      2023                            Data Engineer
## 4293      2023                            Data Engineer
## 4294      2023                        Research Engineer
## 4295      2023                        Research Engineer
## 4296      2023                       Research Scientist
## 4297      2023                       Research Scientist
## 4298      2023                       Research Scientist
## 4299      2023                       Research Scientist
## 4300      2023                           Data Scientist
## 4301      2023                           Data Scientist
## 4302      2023                           Data Scientist
## 4303      2023                           Data Scientist
## 4304      2023      Principal Machine Learning Engineer
## 4305      2023                             AI Architect
## 4306      2023                            Data Engineer
## 4307      2023                            Data Engineer
## 4308      2023                             AI Architect
## 4309      2023                             AI Architect
## 4310      2023                Machine Learning Engineer
## 4311      2023                Machine Learning Engineer
## 4312      2023                           Data Scientist
## 4313      2023                           Data Scientist
## 4314      2023                           Data Scientist
## 4315      2023                           Data Scientist
## 4316      2023                           Data Scientist
## 4317      2023                           Data Scientist
## 4318      2023                           Data Scientist
## 4319      2023                           Data Scientist
## 4320      2023                   Deep Learning Engineer
## 4321      2023                   Deep Learning Engineer
## 4322      2023                            Data Engineer
## 4323      2023                            Data Engineer
## 4324      2023                Machine Learning Engineer
## 4325      2023                Machine Learning Engineer
## 4326      2023                Machine Learning Engineer
## 4327      2023                Machine Learning Engineer
## 4328      2023            Data Visualization Specialist
## 4329      2023            Data Visualization Specialist
## 4330      2023                            Data Engineer
## 4331      2023                            Data Engineer
## 4332      2023                        Research Engineer
## 4333      2023                        Research Engineer
## 4334      2023                              ML Engineer
## 4335      2023                              ML Engineer
## 4336      2023                           MLOps Engineer
## 4337      2023                           MLOps Engineer
## 4338      2023                       Analytics Engineer
## 4339      2023                       Analytics Engineer
## 4340      2023                Machine Learning Engineer
## 4341      2023                Machine Learning Engineer
## 4342      2023                             Data Analyst
## 4343      2023                             Data Analyst
## 4344      2023                             Data Manager
## 4345      2023                             Data Manager
## 4346      2023                           Data Scientist
## 4347      2023                           Data Scientist
## 4348      2023                           Data Scientist
## 4349      2023                           Data Scientist
## 4350      2023                           Data Scientist
## 4351      2023                           Data Scientist
## 4352      2023                           Data Scientist
## 4353      2023                           Data Scientist
## 4354      2023                           Data Scientist
## 4355      2023                           Data Scientist
## 4356      2023                       Analytics Engineer
## 4357      2023                       Analytics Engineer
## 4358      2023                            Data Engineer
## 4359      2023                            Data Engineer
## 4360      2023                             AI Architect
## 4361      2023                Machine Learning Engineer
## 4362      2023                Machine Learning Engineer
## 4363      2023                             Data Analyst
## 4364      2023                             Data Analyst
## 4365      2023                Machine Learning Engineer
## 4366      2023                Machine Learning Engineer
## 4367      2023                              ML Engineer
## 4368      2023                              ML Engineer
## 4369      2023           Business Intelligence Engineer
## 4370      2023           Business Intelligence Engineer
## 4371      2023                        Applied Scientist
## 4372      2023                        Applied Scientist
## 4373      2023                Machine Learning Engineer
## 4374      2023                Machine Learning Engineer
## 4375      2023                            Data Engineer
## 4376      2023                            Data Engineer
## 4377      2023                             Data Analyst
## 4378      2023                             Data Analyst
## 4379      2023                           Data Scientist
## 4380      2023                           Data Scientist
## 4381      2023                            Data Engineer
## 4382      2023                            Data Engineer
## 4383      2023                            Data Engineer
## 4384      2023                            Data Engineer
## 4385      2023                             Data Analyst
## 4386      2023                             Data Analyst
## 4387      2023                        Applied Scientist
## 4388      2023                        Applied Scientist
## 4389      2023       Business Intelligence Data Analyst
## 4390      2023                            Data Engineer
## 4391      2023                            Data Engineer
## 4392      2023                           Data Scientist
## 4393      2023                           Data Scientist
## 4394      2023                             Data Analyst
## 4395      2023                             Data Analyst
## 4396      2023                        Applied Scientist
## 4397      2023                        Applied Scientist
## 4398      2023                       Decision Scientist
## 4399      2023                       Decision Scientist
## 4400      2023                        Applied Scientist
## 4401      2023                        Applied Scientist
## 4402      2023                Machine Learning Engineer
## 4403      2023                Machine Learning Engineer
## 4404      2023                             Data Analyst
## 4405      2023                             Data Analyst
## 4406      2023                       Research Scientist
## 4407      2023                       Research Scientist
## 4408      2023                     Data Science Manager
## 4409      2023                     Data Science Manager
## 4410      2023                           Data Scientist
## 4411      2023                           Data Scientist
## 4412      2023                       Research Scientist
## 4413      2023                       Research Scientist
## 4414      2023                Machine Learning Engineer
## 4415      2023                Machine Learning Engineer
## 4416      2023                           Data Architect
## 4417      2023                           Data Architect
## 4418      2023                           Data Scientist
## 4419      2023                           Data Scientist
## 4420      2023                           Data Scientist
## 4421      2023                           Data Scientist
## 4422      2023                             Data Analyst
## 4423      2023                             Data Analyst
## 4424      2023                             BI Developer
## 4425      2023                             BI Developer
## 4426      2023                           Data Scientist
## 4427      2023                           Data Scientist
## 4428      2023                Machine Learning Engineer
## 4429      2023                Machine Learning Engineer
## 4430      2023                            Data Engineer
## 4431      2023                            Data Engineer
## 4432      2023                       Research Scientist
## 4433      2023                       Research Scientist
## 4434      2023                           Data Scientist
## 4435      2023                           Data Scientist
## 4436      2023                           Data Scientist
## 4437      2023                           Data Scientist
## 4438      2023           Business Intelligence Engineer
## 4439      2023           Business Intelligence Engineer
## 4440      2023                             Data Analyst
## 4441      2023                             Data Analyst
## 4442      2023                        Research Engineer
## 4443      2023                        Research Engineer
## 4444      2023                        Applied Scientist
## 4445      2023                        Applied Scientist
## 4446      2023                       Research Scientist
## 4447      2023                       Research Scientist
## 4448      2023                           Data Scientist
## 4449      2023                           Data Scientist
## 4450      2023                    Data Science Engineer
## 4451      2023                           Data Scientist
## 4452      2023                            Data Engineer
## 4453      2023                            Data Engineer
## 4454      2023                Machine Learning Engineer
## 4455      2023                Machine Learning Engineer
## 4456      2023                           Data Scientist
## 4457      2023                           Data Scientist
## 4458      2023                   Data Analytics Manager
## 4459      2023                   Data Analytics Manager
## 4460      2023                           Data Scientist
## 4461      2023                           Data Scientist
## 4462      2023                             Data Manager
## 4463      2023                             Data Manager
## 4464      2023                               BI Analyst
## 4465      2023                               BI Analyst
## 4466      2023                Machine Learning Engineer
## 4467      2023                Machine Learning Engineer
## 4468      2023                        Applied Scientist
## 4469      2023                        Applied Scientist
## 4470      2023                Machine Learning Engineer
## 4471      2023                Machine Learning Engineer
## 4472      2023                             Data Analyst
## 4473      2023                             Data Analyst
## 4474      2023                           Data Scientist
## 4475      2023                           Data Scientist
## 4476      2023                            Data Engineer
## 4477      2023                            Data Engineer
## 4478      2023                           Data Scientist
## 4479      2023                           Data Scientist
## 4480      2023                           Data Scientist
## 4481      2023                           Data Scientist
## 4482      2023                            AI Programmer
## 4483      2023                           Data Scientist
## 4484      2023                            Data Engineer
## 4485      2023                            Data Engineer
## 4486      2023                       Analytics Engineer
## 4487      2023                       Analytics Engineer
## 4488      2023                           Data Scientist
## 4489      2023                           Data Scientist
## 4490      2023                            Data Engineer
## 4491      2023                            Data Engineer
## 4492      2023                            Data Engineer
## 4493      2023                            Data Engineer
## 4494      2023                            Data Engineer
## 4495      2023                            Data Engineer
## 4496      2023                             Data Analyst
## 4497      2023                             Data Analyst
## 4498      2023                             Data Analyst
## 4499      2023                             Data Analyst
## 4500      2023                            Data Engineer
## 4501      2023                            Data Engineer
## 4502      2023                           Data Scientist
## 4503      2023                           Data Scientist
## 4504      2023                Machine Learning Engineer
## 4505      2023                Machine Learning Engineer
## 4506      2023                             AI Architect
## 4507      2023                             AI Architect
## 4508      2023                            Data Engineer
## 4509      2023                            Data Engineer
## 4510      2023                            Data Engineer
## 4511      2023                            Data Engineer
## 4512      2023           Business Intelligence Engineer
## 4513      2023           Business Intelligence Engineer
## 4514      2023                  Data Operations Manager
## 4515      2023                  Data Operations Manager
## 4516      2023                           Data Scientist
## 4517      2023                           Data Scientist
## 4518      2023                          Data Specialist
## 4519      2023                          Data Specialist
## 4520      2023                           Data Scientist
## 4521      2023                           Data Scientist
## 4522      2023                            Data Engineer
## 4523      2023                            Data Engineer
## 4524      2023                             Data Analyst
## 4525      2023                             Data Analyst
## 4526      2023                Machine Learning Engineer
## 4527      2023                Machine Learning Engineer
## 4528      2023                             Data Analyst
## 4529      2023                             Data Analyst
## 4530      2023                           Data Scientist
## 4531      2023                           Data Scientist
## 4532      2023                           Data Scientist
## 4533      2023                            Data Engineer
## 4534      2023                             Data Manager
## 4535      2023                            Data Engineer
## 4536      2023                            Data Engineer
## 4537      2023                           Data Scientist
## 4538      2023                           Data Scientist
## 4539      2023                               BI Analyst
## 4540      2023                               BI Analyst
## 4541      2023                             Data Analyst
## 4542      2023                             Data Analyst
## 4543      2023                             Data Analyst
## 4544      2023                             Data Analyst
## 4545      2023                           Data Scientist
## 4546      2023                           Data Scientist
## 4547      2023           Business Intelligence Engineer
## 4548      2023           Business Intelligence Engineer
## 4549      2023                             Data Analyst
## 4550      2023                             Data Analyst
## 4551      2023                           Data Scientist
## 4552      2023                           Data Scientist
## 4553      2023                             Data Analyst
## 4554      2023                             Data Analyst
## 4555      2023                           Data Scientist
## 4556      2023                           Data Scientist
## 4557      2023                            Data Engineer
## 4558      2023                            Data Engineer
## 4559      2023                        Applied Scientist
## 4560      2023                        Applied Scientist
## 4561      2023                            Data Engineer
## 4562      2023                            Data Engineer
## 4563      2023                   Deep Learning Engineer
## 4564      2023                   Deep Learning Engineer
## 4565      2023                           Data Scientist
## 4566      2023                           Data Scientist
## 4567      2023                           Data Scientist
## 4568      2023                           Data Scientist
## 4569      2023                Machine Learning Engineer
## 4570      2023                Machine Learning Engineer
## 4571      2023                           Data Scientist
## 4572      2023                           Data Scientist
## 4573      2023                        Research Engineer
## 4574      2023                        Research Engineer
## 4575      2023                     Head of Data Science
## 4576      2023                     Head of Data Science
## 4577      2023                            Data Engineer
## 4578      2023                            Data Engineer
## 4579      2023                        Applied Scientist
## 4580      2023                        Applied Scientist
## 4581      2023                Machine Learning Engineer
## 4582      2023                Machine Learning Engineer
## 4583      2023                Machine Learning Engineer
## 4584      2023                Machine Learning Engineer
## 4585      2023                           Data Scientist
## 4586      2023                           Data Scientist
## 4587      2023                             Data Manager
## 4588      2023                             Data Manager
## 4589      2023                            Data Engineer
## 4590      2023                            Data Engineer
## 4591      2023                           Data Scientist
## 4592      2023                           Data Scientist
## 4593      2020                             Data Analyst
## 4594      2023           Lead Machine Learning Engineer
## 4595      2023                        Applied Scientist
## 4596      2023                        Applied Scientist
## 4597      2023                Machine Learning Engineer
## 4598      2023                Machine Learning Engineer
## 4599      2023                Machine Learning Engineer
## 4600      2023                Machine Learning Engineer
## 4601      2023                Machine Learning Engineer
## 4602      2023                Machine Learning Engineer
## 4603      2023                       Research Scientist
## 4604      2023                       Research Scientist
## 4605      2023                Machine Learning Engineer
## 4606      2023                Machine Learning Engineer
## 4607      2023                        Applied Scientist
## 4608      2023                        Applied Scientist
## 4609      2023                Machine Learning Engineer
## 4610      2023                Machine Learning Engineer
## 4611      2023                Machine Learning Engineer
## 4612      2023                Machine Learning Engineer
## 4613      2023                             Data Analyst
## 4614      2023                             Data Analyst
## 4615      2023                     Data Quality Analyst
## 4616      2023                     Data Quality Analyst
## 4617      2023                            Data Engineer
## 4618      2023                            Data Engineer
## 4619      2023                       Decision Scientist
## 4620      2023                       Decision Scientist
## 4621      2023                            Data Engineer
## 4622      2023                            Data Engineer
## 4623      2023                             AI Scientist
## 4624      2020           Managing Director Data Science
## 4625      2023                            Data Modeller
## 4626      2023                            Data Modeller
## 4627      2023                            Data Engineer
## 4628      2023                            Data Engineer
## 4629      2023                            Data Engineer
## 4630      2023                            Data Engineer
## 4631      2023                        Research Engineer
## 4632      2023                        Research Engineer
## 4633      2023                Machine Learning Engineer
## 4634      2023                Machine Learning Engineer
## 4635      2023                       Research Scientist
## 4636      2023                       Research Scientist
## 4637      2023                           Data Scientist
## 4638      2023                           Data Scientist
## 4639      2023                Machine Learning Engineer
## 4640      2023                Machine Learning Engineer
## 4641      2023                       Research Scientist
## 4642      2023                       Research Scientist
## 4643      2023                             AI Scientist
## 4644      2023                     Finance Data Analyst
## 4645      2023                Machine Learning Engineer
## 4646      2023                Machine Learning Engineer
## 4647      2023                            Data Engineer
## 4648      2023                            Data Engineer
## 4649      2023                   Software Data Engineer
## 4650      2023       Machine Learning Research Engineer
## 4651      2023                             Data Analyst
## 4652      2023                       Analytics Engineer
## 4653      2023                       Analytics Engineer
## 4654      2023                             Data Analyst
## 4655      2023                             Data Analyst
## 4656      2023                       Analytics Engineer
## 4657      2023                       Analytics Engineer
## 4658      2023                            Data Engineer
## 4659      2023                            Data Engineer
## 4660      2023                Machine Learning Engineer
## 4661      2023                Machine Learning Engineer
## 4662      2023                Machine Learning Engineer
## 4663      2023                Machine Learning Engineer
## 4664      2023                             Data Analyst
## 4665      2023                             Data Analyst
## 4666      2023                       Analytics Engineer
## 4667      2023                       Analytics Engineer
## 4668      2023           Business Intelligence Engineer
## 4669      2023           Business Intelligence Engineer
## 4670      2023                           Data Scientist
## 4671      2023                           Data Scientist
## 4672      2023                            Data Engineer
## 4673      2023                            Data Engineer
## 4674      2023                            Data Engineer
## 4675      2023                            Data Engineer
## 4676      2023           Business Intelligence Engineer
## 4677      2023           Business Intelligence Engineer
## 4678      2023                       Analytics Engineer
## 4679      2023                       Analytics Engineer
## 4680      2023                           Data Scientist
## 4681      2023                           Data Scientist
## 4682      2023                     Data Science Manager
## 4683      2023                     Data Science Manager
## 4684      2023                            Data Engineer
## 4685      2023                            Data Engineer
## 4686      2023                            Data Engineer
## 4687      2023                            Data Engineer
## 4688      2023                       Research Scientist
## 4689      2023                       Research Scientist
## 4690      2023                            Data Engineer
## 4691      2023                            Data Engineer
## 4692      2023                           Data Scientist
## 4693      2023                           Data Scientist
## 4694      2023                             Data Analyst
## 4695      2023                             Data Analyst
## 4696      2023                       Analytics Engineer
## 4697      2023                       Analytics Engineer
## 4698      2023                Machine Learning Engineer
## 4699      2023                Machine Learning Engineer
## 4700      2023                             Data Analyst
## 4701      2023                             Data Analyst
## 4702      2023                           Data Architect
## 4703      2023                           Data Architect
## 4704      2023                           Data Scientist
## 4705      2023                           Data Scientist
## 4706      2023                            Data Engineer
## 4707      2023                            Data Engineer
## 4708      2023                             Data Analyst
## 4709      2023                             Data Analyst
## 4710      2023                            Data Engineer
## 4711      2023                            Data Engineer
## 4712      2023           Business Intelligence Engineer
## 4713      2023           Business Intelligence Engineer
## 4714      2023                             AI Scientist
## 4715      2023                  Compliance Data Analyst
## 4716      2023                            Data Engineer
## 4717      2023                            Data Engineer
## 4718      2023                             Data Analyst
## 4719      2023                             Data Analyst
## 4720      2023                           Data Scientist
## 4721      2023                           Data Scientist
## 4722      2023               Machine Learning Scientist
## 4723      2023               Machine Learning Scientist
## 4724      2023                           Data Scientist
## 4725      2023                           Data Scientist
## 4726      2023                           Data Scientist
## 4727      2023                           Data Scientist
## 4728      2023                       Analytics Engineer
## 4729      2023                       Analytics Engineer
## 4730      2023                            Data Engineer
## 4731      2023                            Data Engineer
## 4732      2023                       Analytics Engineer
## 4733      2023                       Analytics Engineer
## 4734      2023                        Applied Scientist
## 4735      2023                        Applied Scientist
## 4736      2023                       Research Scientist
## 4737      2023                       Research Scientist
## 4738      2023                       Research Scientist
## 4739      2023                       Research Scientist
## 4740      2023                        Applied Scientist
## 4741      2023                        Applied Scientist
## 4742      2023                           Data Scientist
## 4743      2023                           Data Scientist
## 4744      2023                        Applied Scientist
## 4745      2023                Machine Learning Engineer
## 4746      2023                Machine Learning Engineer
## 4747      2023                     Data Quality Analyst
## 4748      2023                     Data Quality Analyst
## 4749      2023                           Data Scientist
## 4750      2023                           Data Scientist
## 4751      2023                        Applied Scientist
## 4752      2023                        Applied Scientist
## 4753      2023                Machine Learning Engineer
## 4754      2023                Machine Learning Engineer
## 4755      2023                             Data Analyst
## 4756      2023                             Data Analyst
## 4757      2023           Business Intelligence Engineer
## 4758      2023           Business Intelligence Engineer
## 4759      2023                             Data Analyst
## 4760      2023                             Data Analyst
## 4761      2023                    Data Science Engineer
## 4762      2023                    Data Science Engineer
## 4763      2023                           Data Scientist
## 4764      2023                           Data Scientist
## 4765      2023                Machine Learning Engineer
## 4766      2023                Machine Learning Engineer
## 4767      2023                        Applied Scientist
## 4768      2023                        Applied Scientist
## 4769      2023               Data Operations Specialist
## 4770      2023               Data Operations Specialist
## 4771      2021                    Business Data Analyst
## 4772      2023                        Research Engineer
## 4773      2023                        Research Engineer
## 4774      2023                            Data Engineer
## 4775      2023                            Data Engineer
## 4776      2023           Business Intelligence Engineer
## 4777      2023           Business Intelligence Engineer
## 4778      2023                           Data Architect
## 4779      2023                           Data Architect
## 4780      2023       Machine Learning Software Engineer
## 4781      2023       Machine Learning Software Engineer
## 4782      2023                             Data Analyst
## 4783      2023                             Data Analyst
## 4784      2023                Machine Learning Engineer
## 4785      2023                Machine Learning Engineer
## 4786      2023           Business Intelligence Engineer
## 4787      2023           Business Intelligence Engineer
## 4788      2023                             Data Analyst
## 4789      2023                             Data Analyst
## 4790      2023                               BI Analyst
## 4791      2023                               BI Analyst
## 4792      2022                     Data Science Manager
## 4793      2023                            Data Engineer
## 4794      2023                Machine Learning Engineer
## 4795      2023                Machine Learning Engineer
## 4796      2023                       Decision Scientist
## 4797      2023                       Decision Scientist
## 4798      2023                Machine Learning Engineer
## 4799      2023                Machine Learning Engineer
## 4800      2023                             Data Analyst
## 4801      2023                             Data Analyst
## 4802      2023                  Data Science Consultant
## 4803      2023                           Data Scientist
## 4804      2023                           Data Scientist
## 4805      2023                             Data Manager
## 4806      2023                             Data Manager
## 4807      2023                           Data Scientist
## 4808      2023                           Data Scientist
## 4809      2023                       Analytics Engineer
## 4810      2023                       Analytics Engineer
## 4811      2023                        Research Engineer
## 4812      2023                        Research Engineer
## 4813      2023           Business Intelligence Engineer
## 4814      2023           Business Intelligence Engineer
## 4815      2023                            Data Engineer
## 4816      2023                            Data Engineer
## 4817      2023                Machine Learning Engineer
## 4818      2023                Machine Learning Engineer
## 4819      2023                             Data Analyst
## 4820      2023                             Data Analyst
## 4821      2023                           Data Scientist
## 4822      2023                           Data Scientist
## 4823      2023                            Data Engineer
## 4824      2023                            Data Engineer
## 4825      2023                            Data Engineer
## 4826      2023                            Data Engineer
## 4827      2023                Machine Learning Engineer
## 4828      2023                Machine Learning Engineer
## 4829      2023                       Decision Scientist
## 4830      2023                       Decision Scientist
## 4831      2023                       Research Scientist
## 4832      2023                       Research Scientist
## 4833      2023                        Applied Scientist
## 4834      2023                        Applied Scientist
## 4835      2023                           Data Scientist
## 4836      2023                           Data Scientist
## 4837      2023                Machine Learning Engineer
## 4838      2023                Machine Learning Engineer
## 4839      2023                           Data Scientist
## 4840      2023                           Data Scientist
## 4841      2023                              ML Engineer
## 4842      2023                              ML Engineer
## 4843      2023                           Data Scientist
## 4844      2023                           Data Scientist
## 4845      2023                           Data Scientist
## 4846      2023                           Data Scientist
## 4847      2023                Machine Learning Engineer
## 4848      2023                Machine Learning Engineer
## 4849      2023                           Data Scientist
## 4850      2023                           Data Scientist
## 4851      2023                Machine Learning Engineer
## 4852      2023                Machine Learning Engineer
## 4853      2023                       Analytics Engineer
## 4854      2023                       Analytics Engineer
## 4855      2023                             Data Analyst
## 4856      2023                             Data Analyst
## 4857      2023                           Data Architect
## 4858      2023                           Data Architect
## 4859      2023                Machine Learning Engineer
## 4860      2023                Machine Learning Engineer
## 4861      2023                            Data Engineer
## 4862      2023                            Data Engineer
## 4863      2023                 Computer Vision Engineer
## 4864      2023                             Data Analyst
## 4865      2023                             Data Analyst
## 4866      2023                            Data Engineer
## 4867      2023                            Data Engineer
## 4868      2023                Machine Learning Engineer
## 4869      2023                Machine Learning Engineer
## 4870      2023           Business Intelligence Engineer
## 4871      2023           Business Intelligence Engineer
## 4872      2023                              ML Engineer
## 4873      2023                              ML Engineer
## 4874      2023           Business Intelligence Engineer
## 4875      2023           Business Intelligence Engineer
## 4876      2023                        Applied Scientist
## 4877      2023                        Applied Scientist
## 4878      2023                        Applied Scientist
## 4879      2023                        Applied Scientist
## 4880      2023                       Analytics Engineer
## 4881      2023                       Analytics Engineer
## 4882      2023                       Research Scientist
## 4883      2023                       Research Scientist
## 4884      2023                             Data Analyst
## 4885      2023                             Data Analyst
## 4886      2023                             Data Analyst
## 4887      2023                             Data Analyst
## 4888      2023                             Data Analyst
## 4889      2023                             Data Analyst
## 4890      2023           Business Intelligence Engineer
## 4891      2023           Business Intelligence Engineer
## 4892      2023                            Data Engineer
## 4893      2023                            Data Engineer
## 4894      2023                      Cloud Data Engineer
## 4895      2023                           Data Scientist
## 4896      2023                           Data Scientist
## 4897      2023                Machine Learning Engineer
## 4898      2023                Machine Learning Engineer
## 4899      2023                             Data Analyst
## 4900      2023                             Data Analyst
## 4901      2023                Machine Learning Engineer
## 4902      2023                Machine Learning Engineer
## 4903      2023                       Analytics Engineer
## 4904      2023                       Analytics Engineer
## 4905      2023                             Data Analyst
## 4906      2023                             Data Analyst
## 4907      2023                             Data Analyst
## 4908      2023                             Data Analyst
## 4909      2023                             Data Analyst
## 4910      2023                             Data Analyst
## 4911      2023                             Data Analyst
## 4912      2023                             Data Analyst
## 4913      2023                            Data Engineer
## 4914      2023                            Data Engineer
## 4915      2023                Machine Learning Engineer
## 4916      2023                Machine Learning Engineer
## 4917      2023                           Data Scientist
## 4918      2023                           Data Scientist
## 4919      2023                            Data Engineer
## 4920      2023                            Data Engineer
## 4921      2023                           Data Scientist
## 4922      2023                           Data Scientist
## 4923      2023                             Data Analyst
## 4924      2023                             Data Analyst
## 4925      2023                Machine Learning Engineer
## 4926      2023                Machine Learning Engineer
## 4927      2023                Machine Learning Engineer
## 4928      2023                Machine Learning Engineer
## 4929      2023                             Data Analyst
## 4930      2023                             Data Analyst
## 4931      2023                           Data Scientist
## 4932      2023                           Data Scientist
## 4933      2023                             Data Analyst
## 4934      2023                             Data Analyst
## 4935      2023                             Data Analyst
## 4936      2023                             Data Analyst
## 4937      2023                           Data Scientist
## 4938      2023                           Data Scientist
## 4939      2023            Analytics Engineering Manager
## 4940      2023                            Data Engineer
## 4941      2023                Machine Learning Engineer
## 4942      2023                Machine Learning Engineer
## 4943      2023                             Data Analyst
## 4944      2023                             Data Analyst
## 4945      2023                           Data Architect
## 4946      2023                           Data Architect
## 4947      2023               Machine Learning Scientist
## 4948      2023               Machine Learning Scientist
## 4949      2023           Business Intelligence Engineer
## 4950      2023           Business Intelligence Engineer
## 4951      2023                            Data Engineer
## 4952      2023                            Data Engineer
## 4953      2023                Machine Learning Engineer
## 4954      2023                Machine Learning Engineer
## 4955      2023               Machine Learning Scientist
## 4956      2023               Machine Learning Scientist
## 4957      2023               Machine Learning Scientist
## 4958      2023               Machine Learning Scientist
## 4959      2023                           Data Architect
## 4960      2023                           Data Architect
## 4961      2023                            Data Engineer
## 4962      2023                            Data Engineer
## 4963      2023          Business Intelligence Developer
## 4964      2023          Business Intelligence Developer
## 4965      2023                           Data Scientist
## 4966      2023                           Data Scientist
## 4967      2023                           Data Architect
## 4968      2023                           Data Architect
## 4969      2023                Machine Learning Engineer
## 4970      2023                Machine Learning Engineer
## 4971      2023                           Data Scientist
## 4972      2023                           Data Scientist
## 4973      2023                             Data Analyst
## 4974      2023                             Data Analyst
## 4975      2023                            Data Engineer
## 4976      2023                            Data Engineer
## 4977      2023                       Research Scientist
## 4978      2023                           Data Scientist
## 4979      2023                           Data Scientist
## 4980      2023                            Data Engineer
## 4981      2023                            Data Engineer
## 4982      2023                            Data Engineer
## 4983      2023                            Data Engineer
## 4984      2023                           Data Scientist
## 4985      2023                           Data Scientist
## 4986      2023                        Applied Scientist
## 4987      2023                        Applied Scientist
## 4988      2023                Machine Learning Engineer
## 4989      2023                Machine Learning Engineer
## 4990      2023                             Data Analyst
## 4991      2023                             Data Analyst
## 4992      2023                Machine Learning Engineer
## 4993      2023                Machine Learning Engineer
## 4994      2023                             Data Analyst
## 4995      2023                             Data Analyst
## 4996      2023                            Data Engineer
## 4997      2023                            Data Engineer
## 4998      2023                            Data Engineer
## 4999      2023                            Data Engineer
## 5000      2023                             Data Analyst
## 5001      2023                             Data Analyst
## 5002      2023                             Data Analyst
## 5003      2023                             Data Analyst
## 5004      2023                           Data Scientist
## 5005      2023 Machine Learning Infrastructure Engineer
## 5006      2023 Machine Learning Infrastructure Engineer
## 5007      2023                        Applied Scientist
## 5008      2023                        Applied Scientist
## 5009      2023           Business Intelligence Engineer
## 5010      2023           Business Intelligence Engineer
## 5011      2023                       Decision Scientist
## 5012      2023                       Decision Scientist
## 5013      2023                Machine Learning Engineer
## 5014      2023                Machine Learning Engineer
## 5015      2023                           Data Scientist
## 5016      2023                           Data Scientist
## 5017      2023                           Data Scientist
## 5018      2023                           Data Scientist
## 5019      2023                          Data Specialist
## 5020      2023                          Data Specialist
## 5021      2023                            Data Engineer
## 5022      2023                            Data Engineer
## 5023      2023                       Analytics Engineer
## 5024      2023                       Analytics Engineer
## 5025      2023                        Applied Scientist
## 5026      2023                        Applied Scientist
## 5027      2023                           Data Scientist
## 5028      2023                           Data Scientist
## 5029      2023                           Data Scientist
## 5030      2023                           Data Scientist
## 5031      2023                            Data Engineer
## 5032      2023                            Data Engineer
## 5033      2023                Machine Learning Engineer
## 5034      2023                Machine Learning Engineer
## 5035      2023                            Data Engineer
## 5036      2023                            Data Engineer
## 5037      2023                           Data Scientist
## 5038      2023                           Data Scientist
## 5039      2023                             Data Analyst
## 5040      2023                             Data Analyst
## 5041      2023                       Research Scientist
## 5042      2023                       Research Scientist
## 5043      2023                            Data Engineer
## 5044      2023                            Data Engineer
## 5045      2023                           Data Scientist
## 5046      2023                           Data Scientist
## 5047      2023                             Data Analyst
## 5048      2023                             Data Analyst
## 5049      2023                             Data Analyst
## 5050      2023                             Data Analyst
## 5051      2023                             Data Analyst
## 5052      2023                             Data Analyst
## 5053      2023                Machine Learning Engineer
## 5054      2023                Machine Learning Engineer
## 5055      2023           Business Intelligence Engineer
## 5056      2023           Business Intelligence Engineer
## 5057      2023                            Data Engineer
## 5058      2023                            Data Engineer
## 5059      2023                           Data Scientist
## 5060      2023                           Data Scientist
## 5061      2023                           Data Architect
## 5062      2023                           Data Architect
## 5063      2023                             Data Manager
## 5064      2023                             Data Manager
## 5065      2023                             Data Analyst
## 5066      2023                        Applied Scientist
## 5067      2023                        Applied Scientist
## 5068      2023                             Data Analyst
## 5069      2023                             Data Analyst
## 5070      2023                             Data Analyst
## 5071      2023                             Data Analyst
## 5072      2023                            Data Engineer
## 5073      2023                            Data Engineer
## 5074      2023                Machine Learning Engineer
## 5075      2023                Machine Learning Engineer
## 5076      2023                       Research Scientist
## 5077      2023                       Research Scientist
## 5078      2023                           Data Scientist
## 5079      2023                           Data Scientist
## 5080      2023                            Data Engineer
## 5081      2023                            Data Engineer
## 5082      2023                Machine Learning Engineer
## 5083      2023                Machine Learning Engineer
## 5084      2023                Machine Learning Engineer
## 5085      2023                Machine Learning Engineer
## 5086      2023                            Data Engineer
## 5087      2023                            Data Engineer
## 5088      2023                        Applied Scientist
## 5089      2023                        Applied Scientist
## 5090      2023                            Data Engineer
## 5091      2023                            Data Engineer
## 5092      2023                            Data Engineer
## 5093      2023                            Data Engineer
## 5094      2023                            Data Engineer
## 5095      2023                            Data Engineer
## 5096      2023                Machine Learning Engineer
## 5097      2023                Machine Learning Engineer
## 5098      2023                       Research Scientist
## 5099      2023                       Research Scientist
## 5100      2023                            Data Engineer
## 5101      2023                            Data Engineer
## 5102      2023           Business Intelligence Engineer
## 5103      2023           Business Intelligence Engineer
## 5104      2023                            Data Engineer
## 5105      2023                            Data Engineer
## 5106      2023               Data Operations Specialist
## 5107      2023               Data Operations Specialist
## 5108      2023                            Data Engineer
## 5109      2023                            Data Engineer
## 5110      2023                 Director of Data Science
## 5111      2023                 Director of Data Science
## 5112      2023               Machine Learning Scientist
## 5113      2023               Machine Learning Scientist
## 5114      2023       Business Intelligence Data Analyst
## 5115      2023                             Data Analyst
## 5116      2023                             Data Analyst
## 5117      2023                Machine Learning Engineer
## 5118      2023                Machine Learning Engineer
## 5119      2023                            Data Engineer
## 5120      2023                            Data Engineer
## 5121      2023                             Data Analyst
## 5122      2023                             Data Analyst
## 5123      2023                             Data Analyst
## 5124      2023                             Data Analyst
## 5125      2023                Machine Learning Engineer
## 5126      2023                Machine Learning Engineer
## 5127      2023                           Data Scientist
## 5128      2023                           Data Scientist
## 5129      2023                           Data Scientist
## 5130      2023                           Data Scientist
## 5131      2023                           Data Scientist
## 5132      2023                           Data Scientist
## 5133      2023                Machine Learning Engineer
## 5134      2023                Machine Learning Engineer
## 5135      2023                          Insight Analyst
## 5136      2023                          Insight Analyst
## 5137      2023                           Data Scientist
## 5138      2023                           Data Scientist
## 5139      2023                           Data Scientist
## 5140      2023                           Data Scientist
## 5141      2023                Machine Learning Engineer
## 5142      2023                Machine Learning Engineer
## 5143      2023                           Data Scientist
## 5144      2023                           Data Scientist
## 5145      2023                           Data Scientist
## 5146      2023                           Data Scientist
## 5147      2023                           Data Scientist
## 5148      2023                           Data Scientist
## 5149      2023                Machine Learning Engineer
## 5150      2023                Machine Learning Engineer
## 5151      2023                Machine Learning Engineer
## 5152      2023                Machine Learning Engineer
## 5153      2023                            Data Engineer
## 5154      2023                            Data Engineer
## 5155      2023          Business Intelligence Developer
## 5156      2023          Business Intelligence Developer
## 5157      2023                            ETL Developer
## 5158      2023                            ETL Developer
## 5159      2023                            Data Engineer
## 5160      2023                            Data Engineer
## 5161      2023                             Data Analyst
## 5162      2023                             Data Analyst
## 5163      2023                           Data Architect
## 5164      2023                           Data Architect
## 5165      2023                           Data Scientist
## 5166      2023                           Data Scientist
## 5167      2023                           Data Architect
## 5168      2023                           Data Architect
## 5169      2023                             Data Analyst
## 5170      2023                             Data Analyst
## 5171      2023                            Data Engineer
## 5172      2023                            Data Engineer
## 5173      2023                             Data Analyst
## 5174      2023                             Data Analyst
## 5175      2023                           Data Scientist
## 5176      2023                           Data Scientist
## 5177      2023                           Data Scientist
## 5178      2023                           Data Scientist
## 5179      2023                           Data Scientist
## 5180      2023                           Data Scientist
## 5181      2023                            Data Engineer
## 5182      2023                            Data Engineer
## 5183      2023                           Data Scientist
## 5184      2023                           Data Scientist
## 5185      2023                Machine Learning Engineer
## 5186      2023                Machine Learning Engineer
## 5187      2023                            Data Engineer
## 5188      2023                            Data Engineer
## 5189      2023                           Data Scientist
## 5190      2023                           Data Scientist
## 5191      2023                             Data Analyst
## 5192      2023                             Data Analyst
## 5193      2023                             Data Analyst
## 5194      2023                             Data Analyst
## 5195      2023                              ML Engineer
## 5196      2023                              ML Engineer
## 5197      2023                        Applied Scientist
## 5198      2023                        Applied Scientist
## 5199      2023                           Data Scientist
## 5200      2023                           Data Scientist
## 5201      2023                            Data Engineer
## 5202      2023                            Data Engineer
## 5203      2023           Business Intelligence Engineer
## 5204      2023           Business Intelligence Engineer
## 5205      2023                             NLP Engineer
## 5206      2023                             NLP Engineer
## 5207      2023                             Data Analyst
## 5208      2023                             Data Analyst
## 5209      2023                            Data Engineer
## 5210      2023                            Data Engineer
## 5211      2023                           Data Scientist
## 5212      2023                           Data Scientist
## 5213      2023                             Data Analyst
## 5214      2023                             Data Analyst
## 5215      2023                             Data Analyst
## 5216      2023                             Data Analyst
## 5217      2023                            Data Engineer
## 5218      2023                            Data Engineer
## 5219      2023                            Data Engineer
## 5220      2023                            Data Engineer
## 5221      2023                            Data Engineer
## 5222      2023                            Data Engineer
## 5223      2023                          Data Specialist
## 5224      2023                          Data Specialist
## 5225      2023                              ML Engineer
## 5226      2023                              ML Engineer
## 5227      2023                           Data Scientist
## 5228      2023                           Data Scientist
## 5229      2023                           Data Scientist
## 5230      2023                           Data Scientist
## 5231      2023                Machine Learning Engineer
## 5232      2023                Machine Learning Engineer
## 5233      2023                           Data Scientist
## 5234      2023                           Data Scientist
## 5235      2023                       Decision Scientist
## 5236      2023                       Decision Scientist
## 5237      2023                       Analytics Engineer
## 5238      2023                       Analytics Engineer
## 5239      2023                     Data Science Manager
## 5240      2023                     Data Science Manager
## 5241      2023                           Data Scientist
## 5242      2023                           Data Scientist
## 5243      2023                            Data Engineer
## 5244      2023                            Data Engineer
## 5245      2023                           Data Scientist
## 5246      2023                           Data Scientist
## 5247      2023                            Data Engineer
## 5248      2023                            Data Engineer
## 5249      2023                       Analytics Engineer
## 5250      2023                       Analytics Engineer
## 5251      2023                        Applied Scientist
## 5252      2023                        Applied Scientist
## 5253      2023                            Data Engineer
## 5254      2023                            Data Engineer
## 5255      2023                 Director of Data Science
## 5256      2023                 Director of Data Science
## 5257      2023                             Head of Data
## 5258      2023                             Head of Data
## 5259      2023                        Applied Scientist
## 5260      2023                        Applied Scientist
## 5261      2023                             Head of Data
## 5262      2023                             Head of Data
## 5263      2023                           Data Architect
## 5264      2023                           Data Architect
## 5265      2023                             Data Analyst
## 5266      2023                             Data Analyst
## 5267      2023                       Research Scientist
## 5268      2023                       Research Scientist
## 5269      2023                       Research Scientist
## 5270      2023                       Research Scientist
## 5271      2023                             Data Analyst
## 5272      2023                             Data Analyst
## 5273      2023                        Applied Scientist
## 5274      2023                        Applied Scientist
## 5275      2023                             Data Analyst
## 5276      2023                             Data Analyst
## 5277      2023                            Data Engineer
## 5278      2023                            Data Engineer
## 5279      2023                           Data Scientist
## 5280      2023                           Data Scientist
## 5281      2023                            Data Engineer
## 5282      2023                            Data Engineer
## 5283      2023                             Data Analyst
## 5284      2023                             Data Analyst
## 5285      2023                 Computer Vision Engineer
## 5286      2023                 Computer Vision Engineer
## 5287      2023                             Data Analyst
## 5288      2023                             Data Analyst
## 5289      2023                Machine Learning Engineer
## 5290      2023                Machine Learning Engineer
## 5291      2023                       Research Scientist
## 5292      2023                       Research Scientist
## 5293      2023                        Applied Scientist
## 5294      2023                        Applied Scientist
## 5295      2023                    Business Data Analyst
## 5296      2023                       Research Scientist
## 5297      2023                       Research Scientist
## 5298      2023                            Data Engineer
## 5299      2023                            Data Engineer
## 5300      2023                Machine Learning Engineer
## 5301      2023                Machine Learning Engineer
## 5302      2023                            Data Engineer
## 5303      2023                            Data Engineer
## 5304      2023                            Data Engineer
## 5305      2023                            Data Engineer
## 5306      2023                           Data Scientist
## 5307      2023                           Data Scientist
## 5308      2023                     Data Science Manager
## 5309      2023                     Data Science Manager
## 5310      2023                           Data Scientist
## 5311      2023                           Data Scientist
## 5312      2023                              ML Engineer
## 5313      2023                              ML Engineer
## 5314      2023                           Data Scientist
## 5315      2023                           Data Scientist
## 5316      2023                              ML Engineer
## 5317      2023                              ML Engineer
## 5318      2023                            Data Engineer
## 5319      2023                            Data Engineer
## 5320      2023                       Analytics Engineer
## 5321      2023                       Analytics Engineer
## 5322      2023                           Data Scientist
## 5323      2023                           Data Scientist
## 5324      2023                 Data Operations Engineer
## 5325      2023                 Data Operations Engineer
## 5326      2023                       Staff Data Analyst
## 5327      2023                           Data Scientist
## 5328      2023                            Data Engineer
## 5329      2023                            Data Engineer
## 5330      2023                       AWS Data Architect
## 5331      2023                           Data Scientist
## 5332      2023                           Data Scientist
## 5333      2023                            Data Engineer
## 5334      2023                            Data Engineer
## 5335      2023                           Data Scientist
## 5336      2023                           Data Scientist
## 5337      2023                           Data Scientist
## 5338      2023                           Data Scientist
## 5339      2023                            Data Engineer
## 5340      2023                            Data Engineer
## 5341      2023                        Applied Scientist
## 5342      2023                        Applied Scientist
## 5343      2023                              ML Engineer
## 5344      2023                              ML Engineer
## 5345      2023                             Data Analyst
## 5346      2023                             Data Analyst
## 5347      2023                Machine Learning Engineer
## 5348      2023                Machine Learning Engineer
## 5349      2023                             Data Manager
## 5350      2023                             Data Manager
## 5351      2023                            Data Engineer
## 5352      2023                            Data Engineer
## 5353      2023                Machine Learning Engineer
## 5354      2023                Machine Learning Engineer
## 5355      2023                     Product Data Analyst
## 5356      2023                            Data Engineer
## 5357      2023                            Data Engineer
## 5358      2023                             Data Analyst
## 5359      2023                             Data Analyst
## 5360      2023                           Data Scientist
## 5361      2023                           Data Scientist
## 5362      2023                       Analytics Engineer
## 5363      2023                       Analytics Engineer
## 5364      2023                            Data Engineer
## 5365      2023                            Data Engineer
## 5366      2023                            ETL Developer
## 5367      2023                            ETL Developer
## 5368      2023           Business Intelligence Engineer
## 5369      2023           Business Intelligence Engineer
## 5370      2023                            Data Engineer
## 5371      2023                            Data Engineer
## 5372      2023                           Data Scientist
## 5373      2023                           Data Scientist
## 5374      2023                            Data Engineer
## 5375      2023                            Data Engineer
## 5376      2023                           Data Scientist
## 5377      2023                           Data Scientist
## 5378      2023                            Data Engineer
## 5379      2023                            Data Engineer
## 5380      2023                Machine Learning Engineer
## 5381      2023                Machine Learning Engineer
## 5382      2023                             Data Analyst
## 5383      2023                             Data Analyst
## 5384      2023                       Analytics Engineer
## 5385      2023                       Analytics Engineer
## 5386      2023                          BI Data Analyst
## 5387      2021               Machine Learning Developer
## 5388      2023                        Research Engineer
## 5389      2023                        Research Engineer
## 5390      2023                            Data Engineer
## 5391      2023                            Data Engineer
## 5392      2023              Data Integration Specialist
## 5393      2023              Data Integration Specialist
## 5394      2023                            Data Engineer
## 5395      2023                            Data Engineer
## 5396      2023                            Data Engineer
## 5397      2023                            Data Engineer
## 5398      2023                            Data Engineer
## 5399      2023                            Data Engineer
## 5400      2023                        Applied Scientist
## 5401      2023                        Applied Scientist
## 5402      2023                           Data Scientist
## 5403      2023                           Data Scientist
## 5404      2023                           Data Architect
## 5405      2023                           Data Architect
## 5406      2023                             Data Analyst
## 5407      2023                             Data Analyst
## 5408      2023                           Data Scientist
## 5409      2023                           Data Scientist
## 5410      2023                              ML Engineer
## 5411      2023                              ML Engineer
## 5412      2023                             BI Developer
## 5413      2023                           Data Scientist
## 5414      2023                             Data Analyst
## 5415      2023                             Data Analyst
## 5416      2023               Data Visualization Analyst
## 5417      2023               Data Visualization Analyst
## 5418      2023                           Data Scientist
## 5419      2023                           Data Scientist
## 5420      2023                            Data Engineer
## 5421      2023                            Data Engineer
## 5422      2023                Machine Learning Engineer
## 5423      2023                Machine Learning Engineer
## 5424      2023                        Research Engineer
## 5425      2023                        Research Engineer
## 5426      2023                           Data Scientist
## 5427      2023                           Data Scientist
## 5428      2023                           Data Scientist
## 5429      2023                           Data Scientist
## 5430      2023                       Analytics Engineer
## 5431      2023                       Analytics Engineer
## 5432      2023                           Data Architect
## 5433      2023                           Data Architect
## 5434      2023                             Data Analyst
## 5435      2023                             Data Analyst
## 5436      2023                             Head of Data
## 5437      2023                             Head of Data
## 5438      2023                           Data Scientist
## 5439      2023                           Data Scientist
## 5440      2023                            Data Engineer
## 5441      2023                            Data Engineer
## 5442      2023                             Data Analyst
## 5443      2023                             Data Analyst
## 5444      2023                        Applied Scientist
## 5445      2023                        Applied Scientist
## 5446      2023                             Data Analyst
## 5447      2023                             Data Analyst
## 5448      2023                          BI Data Analyst
## 5449      2023                           Data Scientist
## 5450      2022                           Data Scientist
## 5451      2023                     Product Data Analyst
## 5452      2023            Autonomous Vehicle Technician
## 5453      2023                             Data Modeler
## 5454      2023                             Data Modeler
## 5455      2023                             Data Analyst
## 5456      2023                             Data Analyst
## 5457      2023                            Data Engineer
## 5458      2023                            Data Engineer
## 5459      2023                        Research Engineer
## 5460      2023                        Research Engineer
## 5461      2023                        Applied Scientist
## 5462      2023                        Applied Scientist
## 5463      2023                           Data Scientist
## 5464      2023                           Data Scientist
## 5465      2023                Machine Learning Engineer
## 5466      2023                Machine Learning Engineer
## 5467      2023                        Applied Scientist
## 5468      2023                        Applied Scientist
## 5469      2023                           Data Scientist
## 5470      2023                           Data Scientist
## 5471      2023                             Data Analyst
## 5472      2023                             Data Analyst
## 5473      2023                           Data Scientist
## 5474      2023                           Data Scientist
## 5475      2023                        Applied Scientist
## 5476      2023                        Applied Scientist
## 5477      2023                            Data Engineer
## 5478      2023                            Data Engineer
## 5479      2020                       Sales Data Analyst
## 5480      2023                      Cloud Data Engineer
## 5481      2023                     Finance Data Analyst
## 5482      2023                            Data Engineer
## 5483      2023                            Data Engineer
## 5484      2023                            Data Engineer
## 5485      2023                            Data Engineer
## 5486      2023                       Research Scientist
## 5487      2023                       Research Scientist
## 5488      2023                             Data Analyst
## 5489      2023                             Data Analyst
## 5490      2023                   Data Analytics Manager
## 5491      2023                   Data Analytics Manager
## 5492      2023                        Applied Scientist
## 5493      2023                Machine Learning Engineer
## 5494      2023                Machine Learning Engineer
## 5495      2023                          Data Specialist
## 5496      2023                          Data Specialist
## 5497      2023                Machine Learning Engineer
## 5498      2023                Machine Learning Engineer
## 5499      2023                Machine Learning Engineer
## 5500      2023                Machine Learning Engineer
## 5501      2023                            Data Engineer
## 5502      2023                            Data Engineer
## 5503      2023                  Data Operations Analyst
## 5504      2023                  Data Operations Analyst
## 5505      2023                          Data Specialist
## 5506      2023                          Data Specialist
## 5507      2023                             Data Analyst
## 5508      2023                             Data Analyst
## 5509      2023                Machine Learning Engineer
## 5510      2023                Machine Learning Engineer
## 5511      2023                             Data Modeler
## 5512      2023                             Data Modeler
## 5513      2023                        Research Engineer
## 5514      2023                        Research Engineer
## 5515      2023                            Data Engineer
## 5516      2023                            Data Engineer
## 5517      2023                            Data Engineer
## 5518      2023                            Data Engineer
## 5519      2023                           Data Scientist
## 5520      2023                           Data Scientist
## 5521      2023                             Data Analyst
## 5522      2023                             Data Analyst
## 5523      2023                             Data Analyst
## 5524      2023                             Data Analyst
## 5525      2023                            Data Engineer
## 5526      2023                            Data Engineer
## 5527      2023                Machine Learning Engineer
## 5528      2023                Machine Learning Engineer
## 5529      2023                           Data Scientist
## 5530      2023                           Data Scientist
## 5531      2023                        Research Engineer
## 5532      2023                        Research Engineer
## 5533      2023                        Applied Scientist
## 5534      2023                        Applied Scientist
## 5535      2023                 Director of Data Science
## 5536      2023                 Director of Data Science
## 5537      2023                           Data Scientist
## 5538      2023                           Data Scientist
## 5539      2023                     Data Science Manager
## 5540      2023                     Data Science Manager
## 5541      2023                            Data Engineer
## 5542      2023                            Data Engineer
## 5543      2023                            Data Engineer
## 5544      2023                            Data Engineer
## 5545      2023                            Data Engineer
## 5546      2023                            Data Engineer
## 5547      2023                        Data Science Lead
## 5548      2023                        Data Science Lead
## 5549      2023                             Data Analyst
## 5550      2023                             Data Analyst
## 5551      2023                            Data Engineer
## 5552      2023                            Data Engineer
## 5553      2023                            Data Engineer
## 5554      2023                            Data Engineer
## 5555      2023                           Data Scientist
## 5556      2023                           Data Scientist
## 5557      2023                           Data Scientist
## 5558      2023                           Data Scientist
## 5559      2023                           Data Scientist
## 5560      2023                           Data Scientist
## 5561      2023                           Data Scientist
## 5562      2023                           Data Scientist
## 5563      2023                           Data Scientist
## 5564      2023                           Data Scientist
## 5565      2023                Machine Learning Engineer
## 5566      2023                Machine Learning Engineer
## 5567      2023                Machine Learning Engineer
## 5568      2023                Machine Learning Engineer
## 5569      2023                           Data Scientist
## 5570      2023                           Data Scientist
## 5571      2023                           Data Scientist
## 5572      2023                           Data Scientist
## 5573      2023                           Data Scientist
## 5574      2023                           Data Scientist
## 5575      2023                           Data Scientist
## 5576      2023                           Data Scientist
## 5577      2023                           Data Scientist
## 5578      2023                           Data Scientist
## 5579      2023                        Research Engineer
## 5580      2023                        Research Engineer
## 5581      2023                            Data Engineer
## 5582      2023                            Data Engineer
## 5583      2023                       Research Scientist
## 5584      2023                       Research Scientist
## 5585      2023                            Data Engineer
## 5586      2023                            Data Engineer
## 5587      2023                            Data Engineer
## 5588      2023                            Data Engineer
## 5589      2023                     Data Science Manager
## 5590      2023                     Data Science Manager
## 5591      2023               Machine Learning Scientist
## 5592      2023               Machine Learning Scientist
## 5593      2023                             Data Analyst
## 5594      2023                             Data Analyst
## 5595      2023               Machine Learning Scientist
## 5596      2023               Machine Learning Scientist
## 5597      2023               Machine Learning Scientist
## 5598      2023               Machine Learning Scientist
## 5599      2023                            Data Engineer
## 5600      2023                            Data Engineer
## 5601      2023                           Data Scientist
## 5602      2023                           Data Scientist
## 5603      2023                             Data Analyst
## 5604      2023                             Data Analyst
## 5605      2023                             AI Scientist
## 5606      2023                 Computer Vision Engineer
## 5607      2023                 Computer Vision Engineer
## 5608      2023                           Data Scientist
## 5609      2023                           Data Scientist
## 5610      2023                Machine Learning Engineer
## 5611      2023                Machine Learning Engineer
## 5612      2023                 Director of Data Science
## 5613      2023                 Director of Data Science
## 5614      2023                  Data Science Consultant
## 5615      2023                  Data Science Consultant
## 5616      2023                             Data Analyst
## 5617      2023                             Data Analyst
## 5618      2023                            Data Engineer
## 5619      2023                            Data Engineer
## 5620      2023        Applied Machine Learning Engineer
## 5621      2023                       Analytics Engineer
## 5622      2023                            Data Engineer
## 5623      2023                            Data Engineer
## 5624      2023                       Research Scientist
## 5625      2023                       Research Scientist
## 5626      2023                       Analytics Engineer
## 5627      2023                       Analytics Engineer
## 5628      2023                           Data Scientist
## 5629      2023                           Data Scientist
## 5630      2023                       Decision Scientist
## 5631      2023                       Decision Scientist
## 5632      2023                             Data Analyst
## 5633      2023                             Data Analyst
## 5634      2023                Machine Learning Engineer
## 5635      2023                Machine Learning Engineer
## 5636      2023                Machine Learning Engineer
## 5637      2023                Machine Learning Engineer
## 5638      2022                        Research Engineer
## 5639      2023                            Data Engineer
## 5640      2023                            Data Engineer
## 5641      2023                       Decision Scientist
## 5642      2023                       Decision Scientist
## 5643      2023                            Data Engineer
## 5644      2023                            Data Engineer
## 5645      2023                            Data Engineer
## 5646      2023                            Data Engineer
## 5647      2023                            Data Engineer
## 5648      2023                            Data Engineer
## 5649      2023                            Data Engineer
## 5650      2023                            Data Engineer
## 5651      2023                       Analytics Engineer
## 5652      2023                       Analytics Engineer
## 5653      2023                             Data Analyst
## 5654      2023                             Data Analyst
## 5655      2023                        Applied Scientist
## 5656      2023                        Applied Scientist
## 5657      2023                Machine Learning Engineer
## 5658      2023                Machine Learning Engineer
## 5659      2023                           Data Scientist
## 5660      2023                           Data Scientist
## 5661      2023                           Data Scientist
## 5662      2023                           Data Scientist
## 5663      2023                           Data Scientist
## 5664      2023                           Data Scientist
## 5665      2023                           Data Scientist
## 5666      2023                           Data Scientist
## 5667      2023                           Data Scientist
## 5668      2023                           Data Scientist
## 5669      2023                             Data Analyst
## 5670      2023                             Data Analyst
## 5671      2023                           Data Scientist
## 5672      2023                           Data Scientist
## 5673      2023                             BI Developer
## 5674      2023                             BI Developer
## 5675      2023                            Data Engineer
## 5676      2023                            Data Engineer
## 5677      2023                             NLP Engineer
## 5678      2023                             NLP Engineer
## 5679      2023                            Data Engineer
## 5680      2023                            Data Engineer
## 5681      2023                             NLP Engineer
## 5682      2023                             NLP Engineer
## 5683      2023                            Data Engineer
## 5684      2023                            Data Engineer
## 5685      2023                       Analytics Engineer
## 5686      2023                       Analytics Engineer
## 5687      2023                Machine Learning Engineer
## 5688      2023                Machine Learning Engineer
## 5689      2023                            Data Engineer
## 5690      2023                            Data Engineer
## 5691      2023                       Research Scientist
## 5692      2023                       Research Scientist
## 5693      2023                        Applied Scientist
## 5694      2023                        Applied Scientist
## 5695      2023                Machine Learning Engineer
## 5696      2023                Machine Learning Engineer
## 5697      2023                          Data Specialist
## 5698      2023                          Data Specialist
## 5699      2023                           Data Scientist
## 5700      2023                           Data Scientist
## 5701      2023                             Data Analyst
## 5702      2023                             Data Analyst
## 5703      2023                       Analytics Engineer
## 5704      2023                       Analytics Engineer
## 5705      2023                 Principal Data Scientist
## 5706      2023                              ML Engineer
## 5707      2023                              ML Engineer
## 5708      2023                           Data Scientist
## 5709      2023                           Data Scientist
## 5710      2023                        Applied Scientist
## 5711      2023                        Applied Scientist
## 5712      2023                           Data Scientist
## 5713      2023                           Data Scientist
## 5714      2023                           Data Scientist
## 5715      2023                           Data Scientist
## 5716      2023                             Data Analyst
## 5717      2023                             Data Analyst
## 5718      2023                        Applied Scientist
## 5719      2023                        Applied Scientist
## 5720      2023                             Data Modeler
## 5721      2023                             Data Modeler
## 5722      2023                           Data Scientist
## 5723      2023                           Data Scientist
## 5724      2023                             Data Analyst
## 5725      2023                             Data Analyst
## 5726      2023                        Research Engineer
## 5727      2023                        Research Engineer
## 5728      2023                       Analytics Engineer
## 5729      2023                       Analytics Engineer
## 5730      2023           Business Intelligence Engineer
## 5731      2023           Business Intelligence Engineer
## 5732      2023                Machine Learning Engineer
## 5733      2023                Machine Learning Engineer
## 5734      2023                          Data Strategist
## 5735      2023                          Data Strategist
## 5736      2023                            Data Engineer
## 5737      2023                            Data Engineer
## 5738      2023                 Computer Vision Engineer
## 5739      2023                 Computer Vision Engineer
## 5740      2023                            Data Engineer
## 5741      2023                            Data Engineer
## 5742      2023                             Data Analyst
## 5743      2023                             Data Analyst
## 5744      2023                  Compliance Data Analyst
## 5745      2023                        Applied Scientist
## 5746      2023                        Applied Scientist
## 5747      2023                            Data Engineer
## 5748      2023                            Data Engineer
## 5749      2023                           Data Scientist
## 5750      2023                           Data Scientist
## 5751      2023                           Data Scientist
## 5752      2023                           Data Scientist
## 5753      2023                           Data Scientist
## 5754      2023                           Data Scientist
## 5755      2023                           Data Scientist
## 5756      2023                           Data Scientist
## 5757      2023                            Data Engineer
## 5758      2023                            Data Engineer
## 5759      2023                        Research Engineer
## 5760      2023                        Research Engineer
## 5761      2023                           Data Scientist
## 5762      2023                           Data Scientist
## 5763      2023                            Data Engineer
## 5764      2023                            Data Engineer
## 5765      2023                           Data Scientist
## 5766      2023                           Data Scientist
## 5767      2023                            Data Engineer
## 5768      2023                            Data Engineer
## 5769      2023                            Data Engineer
## 5770      2023                            Data Engineer
## 5771      2023                        Applied Scientist
## 5772      2023                        Applied Scientist
## 5773      2023                            Data Engineer
## 5774      2023                            Data Engineer
## 5775      2023                           Data Scientist
## 5776      2023                           Data Scientist
## 5777      2023                 Computer Vision Engineer
## 5778      2023                 Computer Vision Engineer
## 5779      2023                           Data Architect
## 5780      2023                           Data Architect
## 5781      2023                            Data Engineer
## 5782      2023                            Data Engineer
## 5783      2023                Machine Learning Engineer
## 5784      2023        Applied Machine Learning Engineer
## 5785      2023                Machine Learning Engineer
## 5786      2023           Business Intelligence Engineer
## 5787      2023           Business Intelligence Engineer
## 5788      2023                            Data Engineer
## 5789      2023                            Data Engineer
## 5790      2023                            Data Engineer
## 5791      2023                            Data Engineer
## 5792      2023                           Data Scientist
## 5793      2023                           Data Scientist
## 5794      2023                           Data Scientist
## 5795      2023                           Data Scientist
## 5796      2023                Machine Learning Engineer
## 5797      2023                Machine Learning Engineer
## 5798      2023                            Data Engineer
## 5799      2023                            Data Engineer
## 5800      2023                             Data Analyst
## 5801      2023                             Data Analyst
## 5802      2023                             Data Analyst
## 5803      2023                             Data Analyst
## 5804      2023                            Data Engineer
## 5805      2023                            Data Engineer
## 5806      2023                            Data Engineer
## 5807      2023                            Data Engineer
## 5808      2023                       Analytics Engineer
## 5809      2023                       Analytics Engineer
## 5810      2023                            Data Engineer
## 5811      2023                            Data Engineer
## 5812      2023                        Research Engineer
## 5813      2023                        Research Engineer
## 5814      2023                       Research Scientist
## 5815      2022                Machine Learning Engineer
## 5816      2023                           Data Scientist
## 5817      2023                           Data Scientist
## 5818      2023                       Analytics Engineer
## 5819      2023                       Analytics Engineer
## 5820      2023                       Analytics Engineer
## 5821      2023                       Analytics Engineer
## 5822      2023                Machine Learning Engineer
## 5823      2023                Machine Learning Engineer
## 5824      2023                       Analytics Engineer
## 5825      2023                       Analytics Engineer
## 5826      2023                            Data Engineer
## 5827      2023                            Data Engineer
## 5828      2023                            Data Engineer
## 5829      2023                            Data Engineer
## 5830      2023                   Data Analytics Manager
## 5831      2023                   Data Analytics Manager
## 5832      2023                            Data Engineer
## 5833      2023                            Data Engineer
## 5834      2023                Machine Learning Engineer
## 5835      2023                Machine Learning Engineer
## 5836      2023                            Data Engineer
## 5837      2023                            Data Engineer
## 5838      2023                            Data Engineer
## 5839      2023                            Data Engineer
## 5840      2023                           Data Scientist
## 5841      2023                           Data Scientist
## 5842      2023                             Data Analyst
## 5843      2023                             Data Analyst
## 5844      2023                             Data Analyst
## 5845      2023                             Data Analyst
## 5846      2023                Machine Learning Engineer
## 5847      2023                Machine Learning Engineer
## 5848      2023                            Data Engineer
## 5849      2023                            Data Engineer
## 5850      2023                           Data Scientist
## 5851      2023                           Data Scientist
## 5852      2023                       Analytics Engineer
## 5853      2023                       Analytics Engineer
## 5854      2023                            Data Engineer
## 5855      2023                            Data Engineer
## 5856      2023                    Business Data Analyst
## 5857      2023                             Data Analyst
## 5858      2023                             Data Analyst
## 5859      2023                            Data Engineer
## 5860      2023                            Data Engineer
## 5861      2023                             Data Analyst
## 5862      2023                             Data Analyst
## 5863      2023                        Applied Scientist
## 5864      2023                        Applied Scientist
## 5865      2023                Machine Learning Engineer
## 5866      2023                Machine Learning Engineer
## 5867      2023                            Data Engineer
## 5868      2023                            Data Engineer
## 5869      2023                       Analytics Engineer
## 5870      2023                       Analytics Engineer
## 5871      2023                            Data Engineer
## 5872      2023                            Data Engineer
## 5873      2023                        Applied Scientist
## 5874      2023                        Applied Scientist
## 5875      2023                             Data Analyst
## 5876      2023                             Data Analyst
## 5877      2023                            Data Engineer
## 5878      2023                            Data Engineer
## 5879      2023                            Data Engineer
## 5880      2023                            Data Engineer
## 5881      2023                           Data Scientist
## 5882      2023                           Data Scientist
## 5883      2020                       Staff Data Analyst
## 5884      2023                             ETL Engineer
## 5885      2023                             ETL Engineer
## 5886      2023                             Data Analyst
## 5887      2023                             Data Analyst
## 5888      2023                            Data Engineer
## 5889      2023                            Data Engineer
## 5890      2023                Machine Learning Engineer
## 5891      2023                Machine Learning Engineer
## 5892      2023                           Data Scientist
## 5893      2023                           Data Scientist
## 5894      2023                           Data Scientist
## 5895      2023                           Data Scientist
## 5896      2023                        Research Engineer
## 5897      2023                        Research Engineer
## 5898      2023                           Data Architect
## 5899      2023                           Data Architect
## 5900      2023                           Data Architect
## 5901      2023                           Data Architect
## 5902      2023                     Data DevOps Engineer
## 5903      2023                            Data Engineer
## 5904      2023                            Data Engineer
## 5905      2023                            Data Engineer
## 5906      2023                            Data Engineer
## 5907      2023                            Data Engineer
## 5908      2023                            Data Engineer
## 5909      2023                 Computer Vision Engineer
## 5910      2023                 Computer Vision Engineer
## 5911      2023                Machine Learning Engineer
## 5912      2023                Machine Learning Engineer
## 5913      2023                           Data Scientist
## 5914      2023                           Data Scientist
## 5915      2023                             Data Analyst
## 5916      2023                             Data Analyst
## 5917      2023                   Applied Data Scientist
## 5918      2023                             AI Developer
## 5919      2023                             Data Analyst
## 5920      2023                             Data Analyst
## 5921      2023                            Data Engineer
## 5922      2023                            Data Engineer
## 5923      2023                            Data Engineer
## 5924      2023                            Data Engineer
## 5925      2023                            Data Engineer
## 5926      2023                            Data Engineer
## 5927      2023                             Head of Data
## 5928      2023                             Head of Data
## 5929      2023                     Data Quality Analyst
## 5930      2023                     Data Quality Analyst
## 5931      2023                           Data Scientist
## 5932      2023                           Data Scientist
## 5933      2023                             AI Developer
## 5934      2023                            Data Engineer
## 5935      2023                            Data Engineer
## 5936      2023                            Data Engineer
## 5937      2023                            Data Engineer
## 5938      2023                           Data Scientist
## 5939      2023                           Data Scientist
## 5940      2023                           Data Scientist
## 5941      2023                           Data Scientist
## 5942      2023                           Data Scientist
## 5943      2023                           Data Scientist
## 5944      2023                     Data Science Manager
## 5945      2023                     Data Science Manager
## 5946      2023                       Analytics Engineer
## 5947      2023                       Analytics Engineer
## 5948      2022                           Data Scientist
## 5949      2023                            Data Engineer
## 5950      2023                            Data Engineer
## 5951      2023                             Data Analyst
## 5952      2023                             Data Analyst
## 5953      2023                        Research Engineer
## 5954      2023                        Research Engineer
## 5955      2023                             Data Analyst
## 5956      2023                             Data Analyst
## 5957      2023                            Data Engineer
## 5958      2023                            Data Engineer
## 5959      2023                           Data Scientist
## 5960      2023                           Data Scientist
## 5961      2023                             Data Analyst
## 5962      2023                             Data Analyst
## 5963      2023                           Data Scientist
## 5964      2023                           Data Scientist
## 5965      2023                            Data Engineer
## 5966      2023                            Data Engineer
## 5967      2023                       Analytics Engineer
## 5968      2023                       Analytics Engineer
## 5969      2023                       Analytics Engineer
## 5970      2023                       Analytics Engineer
## 5971      2023                        Applied Scientist
## 5972      2023                        Applied Scientist
## 5973      2023                            Data Engineer
## 5974      2023                            Data Engineer
## 5975      2023                        Applied Scientist
## 5976      2023                        Applied Scientist
## 5977      2023                       Research Scientist
## 5978      2023                       Research Scientist
## 5979      2023                        Applied Scientist
## 5980      2023                        Applied Scientist
## 5981      2023                             Data Analyst
## 5982      2023                             Data Analyst
## 5983      2023                           Data Scientist
## 5984      2023                           Data Scientist
## 5985      2023                            Data Engineer
## 5986      2023                            Data Engineer
## 5987      2023                           Data Scientist
## 5988      2023                           Data Scientist
## 5989      2023                           Data Scientist
## 5990      2023                           Data Scientist
## 5991      2023                           Data Scientist
## 5992      2023                           Data Scientist
## 5993      2023                        Applied Scientist
## 5994      2023                        Applied Scientist
## 5995      2023                       Analytics Engineer
## 5996      2023                       Analytics Engineer
## 5997      2023                             Data Analyst
## 5998      2023                             Data Analyst
## 5999      2023                       Research Scientist
## 6000      2023                       Research Scientist
## 6001      2023                           Data Scientist
## 6002      2023                           Data Scientist
## 6003      2023                            Data Engineer
## 6004      2023                            Data Engineer
## 6005      2023                           Data Scientist
## 6006      2023                           Data Scientist
## 6007      2023                             Data Analyst
## 6008      2023                             Data Analyst
## 6009      2023                             Data Manager
## 6010      2023                             Data Manager
## 6011      2023                             Data Analyst
## 6012      2023                             Data Analyst
## 6013      2023                           Data Scientist
## 6014      2023                           Data Scientist
## 6015      2023                             Data Manager
## 6016      2023                             Data Manager
## 6017      2023                           Data Scientist
## 6018      2023                           Data Scientist
## 6019      2023                             Data Analyst
## 6020      2023                             Data Analyst
## 6021      2023                             Data Analyst
## 6022      2022                             AI Developer
## 6023      2023              Machine Learning Researcher
## 6024      2023                Machine Learning Engineer
## 6025      2023                Machine Learning Engineer
## 6026      2023                           Data Scientist
## 6027      2023                           Data Architect
## 6028      2023                           Data Architect
## 6029      2023                            Data Engineer
## 6030      2023                            Data Engineer
## 6031      2023                             Data Analyst
## 6032      2023                             Data Analyst
## 6033      2023                           Data Scientist
## 6034      2023                           Data Scientist
## 6035      2023                           Data Scientist
## 6036      2023                           Data Scientist
## 6037      2023                             Data Analyst
## 6038      2023                             Data Analyst
## 6039      2023                            Data Engineer
## 6040      2023                            Data Engineer
## 6041      2023                Machine Learning Engineer
## 6042      2023                Machine Learning Engineer
## 6043      2023                            Data Engineer
## 6044      2023                            Data Engineer
## 6045      2023                           Data Scientist
## 6046      2023                           Data Scientist
## 6047      2023                        Applied Scientist
## 6048      2023                        Applied Scientist
## 6049      2023                            Data Engineer
## 6050      2023                            Data Engineer
## 6051      2023                     Data Quality Analyst
## 6052      2023                     Data Quality Analyst
## 6053      2023                           Data Scientist
## 6054      2023                           Data Scientist
## 6055      2023                           Data Scientist
## 6056      2023                           Data Scientist
## 6057      2023                Machine Learning Engineer
## 6058      2023                Machine Learning Engineer
## 6059      2023                        Big Data Engineer
## 6060      2023                            Data Engineer
## 6061      2023                            Data Engineer
## 6062      2023                           Data Scientist
## 6063      2023                           Data Scientist
## 6064      2023                             Data Analyst
## 6065      2023                             Data Analyst
## 6066      2023                       Research Scientist
## 6067      2023                       Research Scientist
## 6068      2023                            Data Engineer
## 6069      2023                            Data Engineer
## 6070      2023                          Data Specialist
## 6071      2023                          Data Specialist
## 6072      2023                            Data Engineer
## 6073      2023                            Data Engineer
## 6074      2023                   Data Analytics Manager
## 6075      2023                   Data Analytics Manager
## 6076      2023                Machine Learning Engineer
## 6077      2023                Machine Learning Engineer
## 6078      2023                            Data Engineer
## 6079      2023                            Data Engineer
## 6080      2023                             Data Analyst
## 6081      2023                             Data Analyst
## 6082      2023                            Data Engineer
## 6083      2023                            Data Engineer
## 6084      2023                           Data Scientist
## 6085      2023                           Data Scientist
## 6086      2023                           Data Scientist
## 6087      2023                           Data Scientist
## 6088      2023                           Data Scientist
## 6089      2023                           Data Scientist
## 6090      2023                        Lead Data Analyst
## 6091      2023                         BI Data Engineer
## 6092      2023                           Data Scientist
## 6093      2023                           Data Scientist
## 6094      2023                            Data Engineer
## 6095      2023                            Data Engineer
## 6096      2023                            Data Engineer
## 6097      2023                            Data Engineer
## 6098      2023                             Data Analyst
## 6099      2023                             Data Analyst
## 6100      2023                       Analytics Engineer
## 6101      2023                       Analytics Engineer
## 6102      2023                             Data Analyst
## 6103      2023                             Data Analyst
## 6104      2023                        Research Engineer
## 6105      2023                        Research Engineer
## 6106      2023                Machine Learning Engineer
## 6107      2023                Machine Learning Engineer
## 6108      2023                           Data Scientist
## 6109      2023                           Data Scientist
## 6110      2023                           Data Architect
## 6111      2023                           Data Architect
## 6112      2023                           Data Scientist
## 6113      2023                           Data Scientist
## 6114      2023                           Data Scientist
## 6115      2023                           Data Scientist
## 6116      2023                           Data Scientist
## 6117      2023                           Data Scientist
## 6118      2023                        Research Engineer
## 6119      2023                        Research Engineer
## 6120      2023                             Data Analyst
## 6121      2023                             Data Analyst
## 6122      2023                            Data Engineer
## 6123      2023                            Data Engineer
## 6124      2023                             Data Analyst
## 6125      2023                             Data Analyst
## 6126      2023                Machine Learning Engineer
## 6127      2023                Machine Learning Engineer
## 6128      2023                             Data Analyst
## 6129      2023                             Data Analyst
## 6130      2023                Machine Learning Engineer
## 6131      2023                Machine Learning Engineer
## 6132      2023                             Data Manager
## 6133      2023                             Data Manager
## 6134      2023                           Data Scientist
## 6135      2023                           Data Scientist
## 6136      2023                           Data Scientist
## 6137      2023                           Data Scientist
## 6138      2023                        Applied Scientist
## 6139      2023                        Applied Scientist
## 6140      2023                        Applied Scientist
## 6141      2023                        Applied Scientist
## 6142      2023                             Data Analyst
## 6143      2023                             Data Analyst
## 6144      2023                        Applied Scientist
## 6145      2023                        Applied Scientist
## 6146      2023                Machine Learning Engineer
## 6147      2023                Machine Learning Engineer
## 6148      2023                             Data Analyst
## 6149      2023                             Data Analyst
## 6150      2023                            Data Engineer
## 6151      2023                            Data Engineer
## 6152      2023                             Data Analyst
## 6153      2023                             Data Analyst
## 6154      2023                            Data Engineer
## 6155      2023                            Data Engineer
## 6156      2023                            Data Engineer
## 6157      2023                            Data Engineer
## 6158      2023                            Data Engineer
## 6159      2023                            Data Engineer
## 6160      2023                           Data Scientist
## 6161      2023                           Data Scientist
## 6162      2023                           Data Scientist
## 6163      2023                           Data Scientist
## 6164      2023                           Data Architect
## 6165      2023                           Data Architect
## 6166      2023                           Data Scientist
## 6167      2023                           Data Scientist
## 6168      2023                            Data Engineer
## 6169      2023                            Data Engineer
## 6170      2022                            Data Engineer
## 6171      2023                            Data Engineer
## 6172      2023                            Data Engineer
## 6173      2023                             Data Analyst
## 6174      2023                             Data Analyst
## 6175      2023                            Data Engineer
## 6176      2023                            Data Engineer
## 6177      2023                 Director of Data Science
## 6178      2023                 Director of Data Science
## 6179      2023               Machine Learning Scientist
## 6180      2023               Machine Learning Scientist
## 6181      2023                           Data Scientist
## 6182      2023                           Data Scientist
## 6183      2023                       Research Scientist
## 6184      2023                       Research Scientist
## 6185      2023                           Data Scientist
## 6186      2023                           Data Scientist
## 6187      2023                           Data Scientist
## 6188      2023                           Data Scientist
## 6189      2023                            Data Engineer
## 6190      2023                            Data Engineer
## 6191      2023                    Business Data Analyst
## 6192      2023                             AI Developer
## 6193      2023                             AI Developer
## 6194      2023                           MLOps Engineer
## 6195      2023                           MLOps Engineer
## 6196      2023                            Data Engineer
## 6197      2023                            Data Engineer
## 6198      2023                            Data Engineer
## 6199      2023                            Data Engineer
## 6200      2023                           Data Scientist
## 6201      2023                           Data Scientist
## 6202      2023                            Data Engineer
## 6203      2023                            Data Engineer
## 6204      2023                Machine Learning Engineer
## 6205      2023                Machine Learning Engineer
## 6206      2023                             Data Analyst
## 6207      2023                             Data Analyst
## 6208      2023                             Data Analyst
## 6209      2023                             Data Analyst
## 6210      2023                            Data Engineer
## 6211      2023                            Data Engineer
## 6212      2023                       Research Scientist
## 6213      2023                       Research Scientist
## 6214      2023                        Research Engineer
## 6215      2023                        Research Engineer
## 6216      2023                             Data Analyst
## 6217      2023                             Data Analyst
## 6218      2023                           Data Scientist
## 6219      2023                           Data Scientist
## 6220      2023                           Data Architect
## 6221      2023                           Data Architect
## 6222      2023                           Data Architect
## 6223      2023                           Data Architect
## 6224      2023                       Research Scientist
## 6225      2023                       Research Scientist
## 6226      2023                Machine Learning Engineer
## 6227      2023                Machine Learning Engineer
## 6228      2023                Machine Learning Engineer
## 6229      2023                            Data Engineer
## 6230      2023                            Data Engineer
## 6231      2023                           Data Scientist
## 6232      2023                           Data Scientist
## 6233      2023                            Data Engineer
## 6234      2023                            Data Engineer
## 6235      2023                            Data Engineer
## 6236      2023                            Data Engineer
## 6237      2023                Machine Learning Engineer
## 6238      2023                Machine Learning Engineer
## 6239      2023                           Data Scientist
## 6240      2023                           Data Scientist
## 6241      2023                             Data Analyst
## 6242      2023                             Data Analyst
## 6243      2023                       Analytics Engineer
## 6244      2023                       Analytics Engineer
## 6245      2023                            Data Engineer
## 6246      2023                            Data Engineer
## 6247      2023                           Data Scientist
## 6248      2023                           Data Scientist
## 6249      2023                            Data Engineer
## 6250      2023                            Data Engineer
## 6251      2023                           Data Scientist
## 6252      2023                           Data Scientist
## 6253      2023                             Data Analyst
## 6254      2023                             Data Analyst
## 6255      2023                             Data Analyst
## 6256      2023                             Data Analyst
## 6257      2023                           Data Scientist
## 6258      2023                           Data Scientist
## 6259      2023                             Data Analyst
## 6260      2023                             Data Analyst
## 6261      2023                            Data Engineer
## 6262      2023                            Data Engineer
## 6263      2023                           Data Scientist
## 6264      2023                           Data Scientist
## 6265      2023               Machine Learning Scientist
## 6266      2023               Machine Learning Scientist
## 6267      2023                             Data Analyst
## 6268      2023                             Data Analyst
## 6269      2023                             Data Analyst
## 6270      2023                             Data Analyst
## 6271      2023       Applied Machine Learning Scientist
## 6272      2023                            Data Engineer
## 6273      2023                            Data Engineer
## 6274      2023                             Data Analyst
## 6275      2023                             Data Analyst
## 6276      2023                           Data Scientist
## 6277      2023                           Data Scientist
## 6278      2023                           Data Scientist
## 6279      2023                           Data Scientist
## 6280      2023                           Data Scientist
## 6281      2023                           Data Scientist
## 6282      2023                           Data Scientist
## 6283      2023                           Data Scientist
## 6284      2023                            Data Engineer
## 6285      2023                            Data Engineer
## 6286      2023                            Data Engineer
## 6287      2023                            Data Engineer
## 6288      2023                           Data Scientist
## 6289      2022                           Data Scientist
## 6290      2023                            Data Engineer
## 6291      2023                            Data Engineer
## 6292      2023                            Data Engineer
## 6293      2023                            Data Engineer
## 6294      2023                             Data Analyst
## 6295      2023                             Data Analyst
## 6296      2023                            Data Engineer
## 6297      2023                            Data Engineer
## 6298      2023                            Data Engineer
## 6299      2023                            Data Engineer
## 6300      2022                      Lead Data Scientist
## 6301      2023                           Data Scientist
## 6302      2023                             Data Analyst
## 6303      2023                             Data Analyst
## 6304      2023                           Data Scientist
## 6305      2023                           Data Scientist
## 6306      2023                             Data Analyst
## 6307      2023                             Data Analyst
## 6308      2023                            Data Engineer
## 6309      2023                            Data Engineer
## 6310      2023                           Data Scientist
## 6311      2023                           Data Scientist
## 6312      2023                            Data Engineer
## 6313      2023                            Data Engineer
## 6314      2023                            Data Engineer
## 6315      2023                            Data Engineer
## 6316      2023                           Data Scientist
## 6317      2023                           Data Scientist
## 6318      2023                            Data Engineer
## 6319      2023                            Data Engineer
## 6320      2023                            Data Engineer
## 6321      2023                            Data Engineer
## 6322      2023                           Data Scientist
## 6323      2023                           Data Scientist
## 6324      2023                            Data Engineer
## 6325      2023                            Data Engineer
## 6326      2023                            Data Engineer
## 6327      2023                            Data Engineer
## 6328      2023                            Data Engineer
## 6329      2023                            Data Engineer
## 6330      2023                           Data Scientist
## 6331      2023                           Data Scientist
## 6332      2023                           Data Scientist
## 6333      2023                           Data Scientist
## 6334      2023                            Data Engineer
## 6335      2023                            Data Engineer
## 6336      2023                           Data Scientist
## 6337      2023                           Data Scientist
## 6338      2023                           Data Architect
## 6339      2023                           Data Architect
## 6340      2023                            Data Engineer
## 6341      2023                            Data Engineer
## 6342      2023                            Data Engineer
## 6343      2023                            Data Engineer
## 6344      2023                             Data Analyst
## 6345      2023                             Data Analyst
## 6346      2023                           Data Architect
## 6347      2023                           Data Architect
## 6348      2023                             Data Analyst
## 6349      2023                             Data Analyst
## 6350      2023                             Data Analyst
## 6351      2023                             Data Analyst
## 6352      2023                            Data Engineer
## 6353      2023                            Data Engineer
## 6354      2023                            Data Engineer
## 6355      2023                            Data Engineer
## 6356      2023                  Cloud Database Engineer
## 6357      2023       Applied Machine Learning Scientist
## 6358      2023                             Data Analyst
## 6359      2023                             Data Analyst
## 6360      2023                            Data Engineer
## 6361      2023                            Data Engineer
## 6362      2023                             Data Analyst
## 6363      2023                             Data Analyst
## 6364      2023                           Data Scientist
## 6365      2023                           Data Scientist
## 6366      2023                Machine Learning Engineer
## 6367      2023                Machine Learning Engineer
## 6368      2023                        Research Engineer
## 6369      2023                        Research Engineer
## 6370      2023                             Data Analyst
## 6371      2023                             Data Analyst
## 6372      2023                           Data Architect
## 6373      2023                           Data Architect
## 6374      2023                             Data Manager
## 6375      2023                             Data Manager
## 6376      2023                             Data Analyst
## 6377      2023                             Data Analyst
## 6378      2023                       Analytics Engineer
## 6379      2023                       Analytics Engineer
## 6380      2023                             Data Analyst
## 6381      2023                             Data Analyst
## 6382      2023                            Data Engineer
## 6383      2023                            Data Engineer
## 6384      2023                     Data Science Manager
## 6385      2023                     Data Science Manager
## 6386      2023                           Data Scientist
## 6387      2023                           Data Scientist
## 6388      2023                            Data Engineer
## 6389      2023                            Data Engineer
## 6390      2023                            Data Engineer
## 6391      2023                            Data Engineer
## 6392      2023                            Data Engineer
## 6393      2023                            Data Engineer
## 6394      2023                           Data Scientist
## 6395      2023                           Data Scientist
## 6396      2023                           Data Scientist
## 6397      2023                           Data Scientist
## 6398      2023                        Applied Scientist
## 6399      2023                        Applied Scientist
## 6400      2023                             Data Analyst
## 6401      2023                             Data Analyst
## 6402      2023                            Data Engineer
## 6403      2023                            Data Engineer
## 6404      2023                           Data Scientist
## 6405      2023                           Data Scientist
## 6406      2023                            Data Engineer
## 6407      2023                            Data Engineer
## 6408      2023                             Data Analyst
## 6409      2023                             Data Analyst
## 6410      2023                   Financial Data Analyst
## 6411      2023                           Data Scientist
## 6412      2023                           Data Scientist
## 6413      2023                           Data Scientist
## 6414      2023                           Data Scientist
## 6415      2023                       Research Scientist
## 6416      2023                       Research Scientist
## 6417      2023             Data Infrastructure Engineer
## 6418      2023             Data Infrastructure Engineer
## 6419      2023                             Data Analyst
## 6420      2023                             Data Analyst
## 6421      2023                       Analytics Engineer
## 6422      2023                       Analytics Engineer
## 6423      2023                             Data Analyst
## 6424      2023                             Data Analyst
## 6425      2023                              ML Engineer
## 6426      2023                              ML Engineer
## 6427      2023                           Data Architect
## 6428      2023                           Data Architect
## 6429      2023                   Software Data Engineer
## 6430      2023                             Data Analyst
## 6431      2023                             Data Analyst
## 6432      2023                            AI Programmer
## 6433      2023                             AI Developer
## 6434      2023                Machine Learning Engineer
## 6435      2023                Machine Learning Engineer
## 6436      2023                            Data Engineer
## 6437      2023                            Data Engineer
## 6438      2023                           Data Scientist
## 6439      2023                           Data Scientist
## 6440      2023                            Data Engineer
## 6441      2023                            Data Engineer
## 6442      2023                       Research Scientist
## 6443      2023                       Research Scientist
## 6444      2023                            Data Engineer
## 6445      2023                            Data Engineer
## 6446      2023                             Data Analyst
## 6447      2023                             Data Analyst
## 6448      2023                       Analytics Engineer
## 6449      2023                       Analytics Engineer
## 6450      2023                            Data Engineer
## 6451      2023                            Data Engineer
## 6452      2023                             Data Analyst
## 6453      2023                             Data Analyst
## 6454      2023                 Data Operations Engineer
## 6455      2023                 Data Operations Engineer
## 6456      2023                Machine Learning Engineer
## 6457      2023                Machine Learning Engineer
## 6458      2023                            Data Engineer
## 6459      2023                            Data Engineer
## 6460      2023                           Data Scientist
## 6461      2023                           Data Scientist
## 6462      2023                            Data Engineer
## 6463      2023                            Data Engineer
## 6464      2023                Machine Learning Engineer
## 6465      2023                Machine Learning Engineer
## 6466      2023                            Data Engineer
## 6467      2023                            Data Engineer
## 6468      2023                            Data Engineer
## 6469      2023                            Data Engineer
## 6470      2022                             BI Developer
## 6471      2021                        Data Science Lead
## 6472      2023                            Data Engineer
## 6473      2023                            Data Engineer
## 6474      2023                              ML Engineer
## 6475      2023                              ML Engineer
## 6476      2023                       Analytics Engineer
## 6477      2023                       Analytics Engineer
## 6478      2023                Machine Learning Engineer
## 6479      2023                Machine Learning Engineer
## 6480      2023                           Data Scientist
## 6481      2023                           Data Scientist
## 6482      2023                Machine Learning Engineer
## 6483      2023                Machine Learning Engineer
## 6484      2023                           Data Scientist
## 6485      2023                           Data Scientist
## 6486      2023                            Data Engineer
## 6487      2023                            Data Engineer
## 6488      2023                     Data Science Manager
## 6489      2023                     Data Science Manager
## 6490      2023                   Data Analytics Manager
## 6491      2023                   Data Analytics Manager
## 6492      2023                            Data Engineer
## 6493      2023                            Data Engineer
## 6494      2023                           Data Architect
## 6495      2023                           Data Architect
## 6496      2023                             Data Analyst
## 6497      2023                             Data Analyst
## 6498      2023                             Data Analyst
## 6499      2023                             Data Analyst
## 6500      2023                 Deep Learning Researcher
## 6501      2023                            Data Engineer
## 6502      2023                            Data Engineer
## 6503      2023                               BI Analyst
## 6504      2023                               BI Analyst
## 6505      2023                     Data Science Manager
## 6506      2023                     Data Science Manager
## 6507      2023                  Data Science Consultant
## 6508      2023                  Data Science Consultant
## 6509      2023                            Data Engineer
## 6510      2023                            Data Engineer
## 6511      2023                            Data Engineer
## 6512      2023                            Data Engineer
## 6513      2023                       Research Scientist
## 6514      2023                       Research Scientist
## 6515      2023                             Data Analyst
## 6516      2023                             Data Analyst
## 6517      2023                           Data Scientist
## 6518      2023                           Data Scientist
## 6519      2023                           Data Scientist
## 6520      2023                           Data Scientist
## 6521      2023                             Data Analyst
## 6522      2023                             Data Analyst
## 6523      2023                             Data Analyst
## 6524      2023                             Data Analyst
## 6525      2023                           Data Scientist
## 6526      2023                           Data Scientist
## 6527      2023                Data Analytics Specialist
## 6528      2023                Data Analytics Specialist
## 6529      2023                       Research Scientist
## 6530      2023                       Research Scientist
## 6531      2023                             AI Developer
## 6532      2023                            Data Engineer
## 6533      2023                            Data Engineer
## 6534      2023                Machine Learning Engineer
## 6535      2023                Machine Learning Engineer
## 6536      2023                            Data Engineer
## 6537      2023                            Data Engineer
## 6538      2023                           Data Scientist
## 6539      2023                           Data Scientist
## 6540      2023                       Research Scientist
## 6541      2023                       Research Scientist
## 6542      2023                Machine Learning Engineer
## 6543      2023                Machine Learning Engineer
## 6544      2023                            Data Engineer
## 6545      2023                            Data Engineer
## 6546      2023                           Data Scientist
## 6547      2023                             Data Analyst
## 6548      2023                             Data Analyst
## 6549      2023                             Data Analyst
## 6550      2023                             Data Analyst
## 6551      2023                   Software Data Engineer
## 6552      2023                             Data Analyst
## 6553      2023                Machine Learning Engineer
## 6554      2023                Machine Learning Engineer
## 6555      2023                            Data Engineer
## 6556      2023                            Data Engineer
## 6557      2023                             Data Analyst
## 6558      2023                             Data Analyst
## 6559      2023                             Data Analyst
## 6560      2023                             Data Analyst
## 6561      2023                           Data Scientist
## 6562      2023                           Data Scientist
## 6563      2023                            Data Engineer
## 6564      2023                            Data Engineer
## 6565      2023                Machine Learning Engineer
## 6566      2023                Machine Learning Engineer
## 6567      2023                            Data Engineer
## 6568      2023                            Data Engineer
## 6569      2023                            Data Engineer
## 6570      2023                            Data Engineer
## 6571      2023                             Data Analyst
## 6572      2023                             Data Analyst
## 6573      2023                            Data Engineer
## 6574      2023                            Data Engineer
## 6575      2023                             Data Analyst
## 6576      2023                             Data Analyst
## 6577      2023                             Data Analyst
## 6578      2023                             Data Analyst
## 6579      2023                       Research Scientist
## 6580      2023                       Research Scientist
## 6581      2023                            Data Engineer
## 6582      2023                            Data Engineer
## 6583      2023                           Data Scientist
## 6584      2023                           Data Scientist
## 6585      2023                           Data Scientist
## 6586      2023                           Data Scientist
## 6587      2023                            Data Engineer
## 6588      2023                            Data Engineer
## 6589      2023                             Data Analyst
## 6590      2023                             Data Analyst
## 6591      2023                           Data Scientist
## 6592      2023                           Data Scientist
## 6593      2023                           Data Scientist
## 6594      2023                           Data Scientist
## 6595      2023               Machine Learning Scientist
## 6596      2023               Machine Learning Scientist
## 6597      2023                           Data Scientist
## 6598      2023                           Data Scientist
## 6599      2023                Machine Learning Engineer
## 6600      2023                Machine Learning Engineer
## 6601      2023                             Data Manager
## 6602      2023                             Data Manager
## 6603      2023 Machine Learning Infrastructure Engineer
## 6604      2023 Machine Learning Infrastructure Engineer
## 6605      2023                            Data Engineer
## 6606      2023                            Data Engineer
## 6607      2023                            Data Engineer
## 6608      2023                            Data Engineer
## 6609      2023                           Data Scientist
## 6610      2023                           Data Scientist
## 6611      2023                             Data Analyst
## 6612      2023                             Data Analyst
## 6613      2023                             Data Analyst
## 6614      2023                             Data Analyst
## 6615      2023                           Data Scientist
## 6616      2023                           Data Scientist
## 6617      2023                            Data Engineer
## 6618      2023                            Data Engineer
## 6619      2023                            Data Engineer
## 6620      2023                            Data Engineer
## 6621      2023                            Data Engineer
## 6622      2023                            Data Engineer
## 6623      2023                            Data Engineer
## 6624      2023                            Data Engineer
## 6625      2023                           Data Scientist
## 6626      2023                           Data Scientist
## 6627      2023                            Data Engineer
## 6628      2023                            Data Engineer
## 6629      2023                            Data Engineer
## 6630      2023                            Data Engineer
## 6631      2023                             Data Analyst
## 6632      2023                             Data Analyst
## 6633      2023                           Data Scientist
## 6634      2023                           Data Scientist
## 6635      2023                       Analytics Engineer
## 6636      2023                       Analytics Engineer
## 6637      2023                Machine Learning Engineer
## 6638      2023                Machine Learning Engineer
## 6639      2023                             Data Analyst
## 6640      2023                             Data Analyst
## 6641      2023                Machine Learning Engineer
## 6642      2023                Machine Learning Engineer
## 6643      2023                             Data Analyst
## 6644      2023                             Data Analyst
## 6645      2023                            Data Engineer
## 6646      2023                            Data Engineer
## 6647      2023                            Data Engineer
## 6648      2023                            Data Engineer
## 6649      2023                   Data Analytics Manager
## 6650      2023                   Data Analytics Manager
## 6651      2023                       Research Scientist
## 6652      2023                       Research Scientist
## 6653      2023                           Data Scientist
## 6654      2023                           Data Scientist
## 6655      2023                            Data Engineer
## 6656      2023                            Data Engineer
## 6657      2023                       Research Scientist
## 6658      2023                       Research Scientist
## 6659      2023                           Data Scientist
## 6660      2023                           Data Scientist
## 6661      2023                           Data Scientist
## 6662      2023                           Data Scientist
## 6663      2023                             Data Analyst
## 6664      2023                       Research Scientist
## 6665      2023                       Research Scientist
## 6666      2022                             Data Analyst
## 6667      2023                             Head of Data
## 6668      2022                     Data Science Manager
## 6669      2023                             Data Analyst
## 6670      2023                             Data Analyst
## 6671      2023                             Data Analyst
## 6672      2023                             Data Analyst
## 6673      2023                     Data Science Manager
## 6674      2023                     Data Science Manager
## 6675      2023                             Data Analyst
## 6676      2023                             Data Analyst
## 6677      2023                 Computer Vision Engineer
## 6678      2023                          BI Data Analyst
## 6679      2023                             AI Developer
## 6680      2023                Machine Learning Engineer
## 6681      2023                Machine Learning Engineer
## 6682      2023                Machine Learning Engineer
## 6683      2023                Machine Learning Engineer
## 6684      2023                            Data Engineer
## 6685      2023                            Data Engineer
## 6686      2023                             Data Analyst
## 6687      2023                             Data Analyst
## 6688      2023                Machine Learning Engineer
## 6689      2023                Machine Learning Engineer
## 6690      2023                           Data Scientist
## 6691      2023                             Data Analyst
## 6692      2023                             Data Analyst
## 6693      2023                           Data Scientist
## 6694      2023                           Data Scientist
## 6695      2023                             Data Analyst
## 6696      2023                             Data Analyst
## 6697      2023                Machine Learning Engineer
## 6698      2023                Machine Learning Engineer
## 6699      2023                            Data Engineer
## 6700      2023                            Data Engineer
## 6701      2023                             Data Analyst
## 6702      2023                             Data Analyst
## 6703      2023                           Data Scientist
## 6704      2023                           Data Scientist
## 6705      2023                Machine Learning Engineer
## 6706      2023                Machine Learning Engineer
## 6707      2023                           Data Architect
## 6708      2023                           Data Architect
## 6709      2023                Machine Learning Engineer
## 6710      2023                Machine Learning Engineer
## 6711      2022                      Lead Data Scientist
## 6712      2023                            Data Engineer
## 6713      2023                            Data Engineer
## 6714      2023                        Research Engineer
## 6715      2023                        Research Engineer
## 6716      2023                Machine Learning Engineer
## 6717      2023                Machine Learning Engineer
## 6718      2023                            Data Engineer
## 6719      2023                            Data Engineer
## 6720      2023                Machine Learning Engineer
## 6721      2023                Machine Learning Engineer
## 6722      2023                             Data Analyst
## 6723      2023                             Data Analyst
## 6724      2023                             Data Manager
## 6725      2023                             Data Manager
## 6726      2023                     Head of Data Science
## 6727      2023                     Head of Data Science
## 6728      2023                            Data Engineer
## 6729      2023                            Data Engineer
## 6730      2023                            Data Engineer
## 6731      2023                            Data Engineer
## 6732      2023                     Data Quality Analyst
## 6733      2023                     Data Quality Analyst
## 6734      2023                            Data Engineer
## 6735      2023                            Data Engineer
## 6736      2023                             Data Analyst
## 6737      2023                             Data Analyst
## 6738      2023                            Data Engineer
## 6739      2023                            Data Engineer
## 6740      2023                          Insight Analyst
## 6741      2023                          Insight Analyst
## 6742      2023                           Data Scientist
## 6743      2023                           Data Scientist
## 6744      2023                             Data Analyst
## 6745      2023                             Data Analyst
## 6746      2023                     Data Science Manager
## 6747      2023                     Data Science Manager
## 6748      2023                             Data Analyst
## 6749      2023                             Data Analyst
## 6750      2023                             Data Analyst
## 6751      2023                             Data Analyst
## 6752      2023                             Data Manager
## 6753      2023                             Data Manager
## 6754      2023 Machine Learning Infrastructure Engineer
## 6755      2023 Machine Learning Infrastructure Engineer
## 6756      2023                             Data Analyst
## 6757      2023                             Data Analyst
## 6758      2023                            Data Engineer
## 6759      2023                            Data Engineer
## 6760      2023        Applied Machine Learning Engineer
## 6761      2022                           Data Scientist
## 6762      2023                             AI Scientist
## 6763      2023                             Data Analyst
## 6764      2023                             Data Analyst
## 6765      2023                           Data Scientist
## 6766      2023                           Data Scientist
## 6767      2023                            Data Engineer
## 6768      2023                            Data Engineer
## 6769      2023                            Data Engineer
## 6770      2023                            Data Engineer
## 6771      2023                            Data Engineer
## 6772      2023                            Data Engineer
## 6773      2023                Machine Learning Engineer
## 6774      2023                Machine Learning Engineer
## 6775      2023                            Data Engineer
## 6776      2023                            Data Engineer
## 6777      2023                        Research Engineer
## 6778      2023                        Research Engineer
## 6779      2023                Machine Learning Engineer
## 6780      2023                Machine Learning Engineer
## 6781      2023                       Analytics Engineer
## 6782      2023                       Analytics Engineer
## 6783      2023                   Deep Learning Engineer
## 6784      2023                   Deep Learning Engineer
## 6785      2023                            Data Engineer
## 6786      2023                            Data Engineer
## 6787      2023                            Data Engineer
## 6788      2023                            Data Engineer
## 6789      2023                           Data Scientist
## 6790      2023                           Data Scientist
## 6791      2023                           Data Scientist
## 6792      2023                           Data Scientist
## 6793      2023                       Analytics Engineer
## 6794      2023                       Analytics Engineer
## 6795      2023                             Data Manager
## 6796      2023                             Data Manager
## 6797      2023                           Data Scientist
## 6798      2023                           Data Scientist
## 6799      2023                            Data Engineer
## 6800      2023                             Data Analyst
## 6801      2023                             Data Analyst
## 6802      2023                             Data Analyst
## 6803      2023                             Data Analyst
## 6804      2023                             Data Analyst
## 6805      2023                             Data Analyst
## 6806      2023                            Data Engineer
## 6807      2023                            Data Engineer
## 6808      2023                Machine Learning Engineer
## 6809      2023                Machine Learning Engineer
## 6810      2021                             AI Scientist
## 6811      2023                Machine Learning Engineer
## 6812      2023                Machine Learning Engineer
## 6813      2023             Data Infrastructure Engineer
## 6814      2023             Data Infrastructure Engineer
## 6815      2023                Machine Learning Engineer
## 6816      2023                Machine Learning Engineer
## 6817      2023             Data Infrastructure Engineer
## 6818      2023             Data Infrastructure Engineer
## 6819      2023                Machine Learning Engineer
## 6820      2023                Machine Learning Engineer
## 6821      2023                Machine Learning Engineer
## 6822      2023                Machine Learning Engineer
## 6823      2023                     Data Science Manager
## 6824      2023                     Data Science Manager
## 6825      2023                            Data Engineer
## 6826      2023                            Data Engineer
## 6827      2023                Machine Learning Engineer
## 6828      2023                Machine Learning Engineer
## 6829      2023                           Data Architect
## 6830      2023                           Data Architect
## 6831      2023       Machine Learning Software Engineer
## 6832      2023       Machine Learning Software Engineer
## 6833      2023                           Data Scientist
## 6834      2023                           Data Scientist
## 6835      2023                            Data Engineer
## 6836      2023                            Data Engineer
## 6837      2023       Machine Learning Software Engineer
## 6838      2023       Machine Learning Software Engineer
## 6839      2023                             Data Analyst
## 6840      2023                             Data Analyst
## 6841      2023                            Data Engineer
## 6842      2023                            Data Engineer
## 6843      2023                            Data Engineer
## 6844      2023                            Data Engineer
## 6845      2023                            Data Engineer
## 6846      2023                            Data Engineer
## 6847      2023                             Data Analyst
## 6848      2023                             Data Analyst
## 6849      2023                           Data Scientist
## 6850      2023                           Data Scientist
## 6851      2023                            Data Engineer
## 6852      2023                            Data Engineer
## 6853      2023                            Data Engineer
## 6854      2023                            Data Engineer
## 6855      2023                             Data Analyst
## 6856      2023                             Data Analyst
## 6857      2023                             Data Analyst
## 6858      2023                           Data Scientist
## 6859      2023                        Data Science Lead
## 6860      2023                        Data Science Lead
## 6861      2023                           Data Scientist
## 6862      2023                           Data Scientist
## 6863      2023                            Data Engineer
## 6864      2023                            Data Engineer
## 6865      2023                            Data Engineer
## 6866      2023                            Data Engineer
## 6867      2023 Machine Learning Infrastructure Engineer
## 6868      2023 Machine Learning Infrastructure Engineer
## 6869      2023                           Data Scientist
## 6870      2023                           Data Scientist
## 6871      2023                Machine Learning Engineer
## 6872      2023                Machine Learning Engineer
## 6873      2023                             Data Analyst
## 6874      2023                             Data Analyst
## 6875      2023                             Data Analyst
## 6876      2023                             Data Analyst
## 6877      2023                Machine Learning Engineer
## 6878      2023                Machine Learning Engineer
## 6879      2023                Machine Learning Engineer
## 6880      2023                Machine Learning Engineer
## 6881      2023                            Data Engineer
## 6882      2023                            Data Engineer
## 6883      2023                        Data Science Lead
## 6884      2023                        Data Science Lead
## 6885      2023                           Data Scientist
## 6886      2023                           Data Scientist
## 6887      2023                           Data Architect
## 6888      2023                           Data Architect
## 6889      2023                             Data Analyst
## 6890      2023                             Data Analyst
## 6891      2023                Machine Learning Engineer
## 6892      2023                Machine Learning Engineer
## 6893      2023                           Data Scientist
## 6894      2023                           Data Scientist
## 6895      2023                             Data Manager
## 6896      2023                             Data Manager
## 6897      2022                           Data Scientist
## 6898      2023                Machine Learning Engineer
## 6899      2023                        Research Engineer
## 6900      2023                        Research Engineer
## 6901      2023                Machine Learning Engineer
## 6902      2023                Machine Learning Engineer
## 6903      2023                            Data Engineer
## 6904      2023                            Data Engineer
## 6905      2023                             Data Analyst
## 6906      2023                             Data Analyst
## 6907      2023                            Data Engineer
## 6908      2023                            Data Engineer
## 6909      2023                           Data Architect
## 6910      2023                           Data Architect
## 6911      2023                            Data Engineer
## 6912      2023                            Data Engineer
## 6913      2023                             Data Analyst
## 6914      2023                             Data Analyst
## 6915      2023                             Data Analyst
## 6916      2023                             Data Analyst
## 6917      2023                            Data Engineer
## 6918      2023                            Data Engineer
## 6919      2023                            Data Engineer
## 6920      2023                            Data Engineer
## 6921      2023                       Big Data Architect
## 6922      2023                             Data Analyst
## 6923      2023                             Data Analyst
## 6924      2023                            Data Engineer
## 6925      2023                            Data Engineer
## 6926      2023                             Data Analyst
## 6927      2023                             Data Analyst
## 6928      2023                             Data Analyst
## 6929      2023                             Data Analyst
## 6930      2023                             Data Analyst
## 6931      2023                             Data Analyst
## 6932      2023                             Data Analyst
## 6933      2023                             Data Analyst
## 6934      2023                            Data Engineer
## 6935      2023                            Data Engineer
## 6936      2023                            Data Engineer
## 6937      2023                            Data Engineer
## 6938      2023                       Research Scientist
## 6939      2023                       Research Scientist
## 6940      2023                       Research Scientist
## 6941      2023                       Research Scientist
## 6942      2023                           Data Scientist
## 6943      2023                           Data Scientist
## 6944      2023                            Data Engineer
## 6945      2023                            Data Engineer
## 6946      2023                            Data Engineer
## 6947      2023                            Data Engineer
## 6948      2022       Machine Learning Software Engineer
## 6949      2023                            Data Engineer
## 6950      2023                Machine Learning Engineer
## 6951      2023                Machine Learning Engineer
## 6952      2023                            Data Engineer
## 6953      2023                            Data Engineer
## 6954      2023                           Data Architect
## 6955      2023                           Data Architect
## 6956      2023                           Data Architect
## 6957      2023                           Data Architect
## 6958      2023                     Data Science Manager
## 6959      2023                     Data Science Manager
## 6960      2023                Machine Learning Engineer
## 6961      2023                Machine Learning Engineer
## 6962      2023                            Data Engineer
## 6963      2023                            Data Engineer
## 6964      2023                             Data Analyst
## 6965      2023                             Data Analyst
## 6966      2023                             Data Analyst
## 6967      2023                             Data Analyst
## 6968      2023                             Data Analyst
## 6969      2023                             Data Analyst
## 6970      2023                             Data Analyst
## 6971      2023                        Data Science Lead
## 6972      2023                        Data Science Lead
## 6973      2023                            Data Engineer
## 6974      2023                            Data Engineer
## 6975      2023                Machine Learning Engineer
## 6976      2023                Machine Learning Engineer
## 6977      2023                             Data Analyst
## 6978      2023                             Data Analyst
## 6979      2023                             Data Analyst
## 6980      2023                             Data Analyst
## 6981      2023                           Data Scientist
## 6982      2023                           Data Scientist
## 6983      2023                             Data Analyst
## 6984      2023                             Data Analyst
## 6985      2023                             Data Analyst
## 6986      2023                             Data Analyst
## 6987      2023                            Data Engineer
## 6988      2023                            Data Engineer
## 6989      2023                           Data Scientist
## 6990      2023                           Data Scientist
## 6991      2023                            Data Engineer
## 6992      2023                            Data Engineer
## 6993      2023                             Data Analyst
## 6994      2023                             Data Analyst
## 6995      2023                           Data Scientist
## 6996      2023                           Data Scientist
## 6997      2023                Machine Learning Engineer
## 6998      2023                           Data Scientist
## 6999      2023                           Data Scientist
## 7000      2023                       Research Scientist
## 7001      2023                       Research Scientist
## 7002      2023                           Data Scientist
## 7003      2023                           Data Scientist
## 7004      2023                Machine Learning Engineer
## 7005      2023                Machine Learning Engineer
## 7006      2023                           Data Scientist
## 7007      2023                           Data Scientist
## 7008      2023                Machine Learning Engineer
## 7009      2023                Machine Learning Engineer
## 7010      2023        Computer Vision Software Engineer
## 7011      2023                           Data Scientist
## 7012      2023                            Data Engineer
## 7013      2023                            Data Engineer
## 7014      2023                            Data Engineer
## 7015      2023                            Data Engineer
## 7016      2023                             Data Analyst
## 7017      2023                             Data Analyst
## 7018      2023                            Data Engineer
## 7019      2023                            Data Engineer
## 7020      2023                       Research Scientist
## 7021      2023                       Research Scientist
## 7022      2023                        Research Engineer
## 7023      2023                        Research Engineer
## 7024      2023                           Data Scientist
## 7025      2023                           Data Scientist
## 7026      2023                            Data Engineer
## 7027      2023                            Data Engineer
## 7028      2023                 Director of Data Science
## 7029      2023                      Azure Data Engineer
## 7030      2023                           Data Scientist
## 7031      2023                           Data Scientist
## 7032      2023                           Data Scientist
## 7033      2023                           Data Scientist
## 7034      2023                            Data Engineer
## 7035      2022                           Data Scientist
## 7036      2023                       Research Scientist
## 7037      2023                       Research Scientist
## 7038      2023                             BI Developer
## 7039      2023                             BI Developer
## 7040      2023                   Data Analytics Manager
## 7041      2023                   Data Analytics Manager
## 7042      2023                Machine Learning Engineer
## 7043      2023                Machine Learning Engineer
## 7044      2023                            Data Engineer
## 7045      2023                            Data Engineer
## 7046      2023                           Data Scientist
## 7047      2023                           Data Scientist
## 7048      2023                            Data Engineer
## 7049      2023                            Data Engineer
## 7050      2023                Machine Learning Engineer
## 7051      2023                Machine Learning Engineer
## 7052      2023                              ML Engineer
## 7053      2023                              ML Engineer
## 7054      2023                            Data Engineer
## 7055      2023                            Data Engineer
## 7056      2023                   Data Analytics Manager
## 7057      2023                   Data Analytics Manager
## 7058      2023                            Data Engineer
## 7059      2023                            Data Engineer
## 7060      2023                            Data Engineer
## 7061      2023                            Data Engineer
## 7062      2023                            Data Engineer
## 7063      2023                            Data Engineer
## 7064      2023                            Data Engineer
## 7065      2023                            Data Engineer
## 7066      2023                            Data Engineer
## 7067      2023                            Data Engineer
## 7068      2023                Machine Learning Engineer
## 7069      2023                Machine Learning Engineer
## 7070      2023                            Data Engineer
## 7071      2023                            Data Engineer
## 7072      2023                           Data Scientist
## 7073      2023                           Data Scientist
## 7074      2022                       Research Scientist
## 7075      2023                Machine Learning Engineer
## 7076      2023                            Data Engineer
## 7077      2023                            Data Engineer
## 7078      2023                             Data Analyst
## 7079      2023                             Data Analyst
## 7080      2023                             Data Analyst
## 7081      2023                             Data Analyst
## 7082      2023                            Data Engineer
## 7083      2023                            Data Engineer
## 7084      2023                     Head of Data Science
## 7085      2023                     Head of Data Science
## 7086      2023                        Applied Scientist
## 7087      2023                        Applied Scientist
## 7088      2023                           Data Scientist
## 7089      2023                           Data Scientist
## 7090      2023                             BI Developer
## 7091      2023                             BI Developer
## 7092      2023                            Data Engineer
## 7093      2023                            Data Engineer
## 7094      2023                             Data Analyst
## 7095      2023                             Data Analyst
## 7096      2023                             Data Manager
## 7097      2023                             Data Manager
## 7098      2023                           Data Scientist
## 7099      2023                           Data Scientist
## 7100      2023                        Big Data Engineer
## 7101      2023                             Data Analyst
## 7102      2023                             Data Analyst
## 7103      2023                            Data Engineer
## 7104      2023                            Data Engineer
## 7105      2023                           Data Scientist
## 7106      2023                           Data Scientist
## 7107      2023                Machine Learning Engineer
## 7108      2023                Machine Learning Engineer
## 7109      2023                        Applied Scientist
## 7110      2023                        Applied Scientist
## 7111      2023                             Data Analyst
## 7112      2023                             Data Analyst
## 7113      2023                Machine Learning Engineer
## 7114      2023                Machine Learning Engineer
## 7115      2023                            Data Engineer
## 7116      2023                            Data Engineer
## 7117      2023                           Data Scientist
## 7118      2023                           Data Scientist
## 7119      2023                Machine Learning Engineer
## 7120      2023                Machine Learning Engineer
## 7121      2023                           Data Scientist
## 7122      2023                           Data Scientist
## 7123      2023                           Data Scientist
## 7124      2023                           Data Scientist
## 7125      2023                             Data Analyst
## 7126      2023                             Data Analyst
## 7127      2023                            Data Engineer
## 7128      2023                            Data Engineer
## 7129      2023                             Data Analyst
## 7130      2023                             Data Analyst
## 7131      2022                           Data Scientist
## 7132      2021                  Marketing Data Engineer
## 7133      2023                           Data Scientist
## 7134      2023                           Data Scientist
## 7135      2023                           Data Scientist
## 7136      2023                           Data Scientist
## 7137      2023                           Data Scientist
## 7138      2023                           Data Architect
## 7139      2023                           Data Architect
## 7140      2023                             Data Analyst
## 7141      2023                             Data Analyst
## 7142      2023                             Data Analyst
##                        job_category salary_currency salary salary_in_usd
## 1                  Data Engineering             EUR  88000         95012
## 2    Data Architecture and Modeling             USD 186000        186000
## 3    Data Architecture and Modeling             USD  81800         81800
## 4         Data Science and Research             USD 212000        212000
## 5         Data Science and Research             USD  93300         93300
## 6         Data Science and Research             USD 130000        130000
## 7         Data Science and Research             USD 100000        100000
## 8           Machine Learning and AI             USD 224400        224400
## 9           Machine Learning and AI             USD 138700        138700
## 10                 Data Engineering             USD 210000        210000
## 11                 Data Engineering             USD 168000        168000
## 12          Machine Learning and AI             USD 224400        224400
## 13          Machine Learning and AI             USD 138700        138700
## 14        Data Science and Research             GBP  35000         43064
## 15        Data Science and Research             GBP  30000         36912
## 16                    Data Analysis             USD  95000         95000
## 17                    Data Analysis             USD  75000         75000
## 18        Data Science and Research             USD 300000        300000
## 19        Data Science and Research             USD 234000        234000
## 20        Leadership and Management             USD 140000        140000
## 21        Leadership and Management             USD 120000        120000
## 22          Machine Learning and AI             USD 204500        204500
## 23          Machine Learning and AI             USD 142200        142200
## 24                    Data Analysis             USD 155000        155000
## 25                    Data Analysis             USD 110000        110000
## 26          Machine Learning and AI             USD 266500        266500
## 27          Machine Learning and AI             USD 152000        152000
## 28        Data Science and Research             USD 222200        222200
## 29        Data Science and Research             USD 136000        136000
## 30          Machine Learning and AI             USD 273400        273400
## 31          Machine Learning and AI             USD 182200        182200
## 32             BI and Visualization             USD 167500        167500
## 33             BI and Visualization             USD 106500        106500
## 34                 Data Engineering             USD 185900        185900
## 35                 Data Engineering             USD 129300        129300
## 36             BI and Visualization             USD 185000        185000
## 37             BI and Visualization             USD  79600         79600
## 38                 Data Engineering             USD 122000        122000
## 39                 Data Engineering             USD  94500         94500
## 40                 Data Engineering             USD 247300        247300
## 41                 Data Engineering             USD 139700        139700
## 42                    Data Analysis             USD 176000        176000
## 43                    Data Analysis             USD 100000        100000
## 44          Machine Learning and AI             USD 204500        204500
## 45          Machine Learning and AI             USD 142200        142200
## 46        Data Science and Research             USD 247600        247600
## 47        Data Science and Research             USD 127300        127300
## 48        Data Science and Research             USD 223400        223400
## 49        Data Science and Research             USD 186200        186200
## 50                 Data Engineering             USD 167500        167500
## 51                 Data Engineering             USD 106500        106500
## 52        Data Science and Research             USD 185900        185900
## 53        Data Science and Research             USD 129300        129300
## 54        Data Science and Research             USD  72000         72000
## 55        Data Science and Research             USD  64000         64000
## 56        Leadership and Management             USD 179820        179820
## 57        Leadership and Management             USD 143860        143860
## 58        Data Science and Research             USD 283050        283050
## 59        Data Science and Research             USD 188700        188700
## 60                 Data Engineering             USD 133000        133000
## 61                 Data Engineering             USD  58400         58400
## 62        Data Science and Research             USD 141298        141298
## 63        Data Science and Research             USD 115607        115607
## 64                    Data Analysis             USD 100000        100000
## 65                    Data Analysis             USD  75000         75000
## 66          Machine Learning and AI             USD 266500        266500
## 67          Machine Learning and AI             USD 144400        144400
## 68                 Data Engineering             GBP  58000         71363
## 69                 Data Engineering             GBP  45000         55368
## 70        Data Science and Research             USD 287500        287500
## 71        Data Science and Research             USD 156000        156000
## 72                    Data Analysis             USD  90000         90000
## 73                    Data Analysis             USD  70000         70000
## 74                 Data Engineering             USD 199000        199000
## 75                 Data Engineering             USD 162000        162000
## 76                 Data Engineering             USD 170884        170884
## 77                 Data Engineering             USD 113923        113923
## 78                 Data Engineering             USD 184000        184000
## 79                 Data Engineering             USD 123000        123000
## 80        Data Science and Research             USD 235750        235750
## 81        Data Science and Research             USD 174250        174250
## 82        Data Science and Research             USD 165000        165000
## 83        Data Science and Research             USD 118800        118800
## 84                 Data Engineering             USD 225000        225000
## 85                 Data Engineering             USD 150000        150000
## 86          Machine Learning and AI             USD 213900        213900
## 87          Machine Learning and AI             USD 116800        116800
## 88        Data Science and Research             USD 220000        220000
## 89        Data Science and Research             USD 150000        150000
## 90        Data Science and Research             USD 150000        150000
## 91        Data Science and Research             USD 100000        100000
## 92          Machine Learning and AI             USD 247500        247500
## 93          Machine Learning and AI             USD 172200        172200
## 94                 Data Engineering             USD 155000        155000
## 95                 Data Engineering             USD 120000        120000
## 96                 Data Engineering             USD 226700        226700
## 97                 Data Engineering             USD 133300        133300
## 98                 Data Engineering             USD 184000        184000
## 99                 Data Engineering             USD 123000        123000
## 100       Data Science and Research             USD 130000        130000
## 101       Data Science and Research             USD 117000        117000
## 102       Data Science and Research             USD 160000        160000
## 103       Data Science and Research             USD 140000        140000
## 104       Data Science and Research             USD 166000        166000
## 105       Data Science and Research             USD  73000         73000
## 106       Data Science and Research             USD 185900        185900
## 107       Data Science and Research             USD 129300        129300
## 108                Data Engineering             USD 130000        130000
## 109                Data Engineering             USD 104000        104000
## 110                Data Engineering             USD 143000        143000
## 111                Data Engineering             USD 116000        116000
## 112       Data Science and Research             USD 165000        165000
## 113       Data Science and Research             USD 118800        118800
## 114       Data Science and Research             USD 220000        220000
## 115       Data Science and Research             USD 180000        180000
## 116                Data Engineering             USD 184000        184000
## 117                Data Engineering             USD 123000        123000
## 118                Data Engineering             USD 215000        215000
## 119                Data Engineering             USD 200000        200000
## 120       Data Science and Research             USD 253000        253000
## 121       Data Science and Research             USD 131000        131000
## 122         Machine Learning and AI             USD 220000        220000
## 123         Machine Learning and AI             USD 176000        176000
## 124     Data Quality and Operations             GBP  40000         49216
## 125     Data Quality and Operations             GBP  30000         36912
## 126       Data Science and Research             USD 210000        210000
## 127       Data Science and Research             USD 147000        147000
## 128       Leadership and Management             USD 186000        186000
## 129       Leadership and Management             USD 161000        161000
## 130         Machine Learning and AI             USD 205000        205000
## 131         Machine Learning and AI             USD 152000        152000
## 132                Data Engineering             USD 220000        220000
## 133                Data Engineering             USD 190000        190000
## 134         Machine Learning and AI             USD 205000        205000
## 135         Machine Learning and AI             USD 152000        152000
## 136                   Data Analysis             USD 137000        137000
## 137                   Data Analysis             USD 110000        110000
## 138       Data Science and Research             USD 172000        172000
## 139       Data Science and Research             USD 146000        146000
## 140                Data Engineering             USD 148000        148000
## 141                Data Engineering             USD  99000         99000
## 142       Data Science and Research             USD 150000        150000
## 143       Data Science and Research             USD 130000        130000
## 144                   Data Analysis             USD 105000        105000
## 145                Data Engineering             USD  99000         99000
## 146                Data Engineering             USD  52500         52500
## 147         Machine Learning and AI             USD 180514        180514
## 148         Machine Learning and AI             USD 108308        108308
## 149         Machine Learning and AI             USD 210000        210000
## 150         Machine Learning and AI             USD 147000        147000
## 151                Data Engineering             USD 290300        290300
## 152                Data Engineering             USD 196685        196685
## 153         Machine Learning and AI             USD 220000        220000
## 154         Machine Learning and AI             USD 176000        176000
## 155         Machine Learning and AI             USD 175000        175000
## 156         Machine Learning and AI             USD 130000        130000
## 157  Data Architecture and Modeling             USD 185000        185000
## 158  Data Architecture and Modeling             USD 150000        150000
## 159                Data Engineering             USD 145000        145000
## 160                Data Engineering             USD 115000        115000
## 161         Machine Learning and AI             USD 133000        133000
## 162         Machine Learning and AI             USD  58300         58300
## 163       Leadership and Management             USD 115000        115000
## 164       Leadership and Management             USD  95000         95000
## 165                Data Engineering             GBP  89600        110244
## 166                Data Engineering             GBP  32000         39372
## 167       Data Science and Research             EUR  40000         43187
## 168       Data Science and Research             EUR  29000         31310
## 169                   Data Analysis             GBP  75000         92280
## 170                   Data Analysis             GBP  55000         67672
## 171                   Data Analysis             GBP  75000         92280
## 172                   Data Analysis             GBP  55000         67672
## 173       Data Science and Research             EUR  70000         75577
## 174         Machine Learning and AI             CAD 409500        303387
## 175         Machine Learning and AI             CAD 135000        100017
## 176                Data Engineering             USD 230300        230300
## 177                Data Engineering             USD 140000        140000
## 178                Data Engineering             USD 124935        124935
## 179                Data Engineering             USD  76050         76050
## 180       Data Science and Research             USD 224800        224800
## 181       Data Science and Research             USD 131100        131100
## 182       Data Science and Research             USD 258000        258000
## 183       Data Science and Research             USD 171000        171000
## 184                Data Engineering             USD 196000        196000
## 185                Data Engineering             USD 121000        121000
## 186                Data Engineering             USD 195800        195800
## 187                Data Engineering             USD 171500        171500
## 188  Data Architecture and Modeling             USD 166000        166000
## 189  Data Architecture and Modeling             USD  73100         73100
## 190       Data Science and Research             USD 220000        220000
## 191       Data Science and Research             USD 160000        160000
## 192       Data Science and Research             USD  85000         85000
## 193       Data Science and Research             USD  65000         65000
## 194         Machine Learning and AI             USD 220000        220000
## 195         Machine Learning and AI             USD 100000        100000
## 196       Data Science and Research             USD 185000        185000
## 197       Data Science and Research             USD 152000        152000
## 198         Machine Learning and AI             USD 220000        220000
## 199         Machine Learning and AI             USD 100000        100000
## 200       Data Science and Research             EUR  45000         48585
## 201       Data Science and Research             EUR  36000         38868
## 202         Machine Learning and AI             USD 220000        220000
## 203         Machine Learning and AI             USD 100000        100000
## 204         Machine Learning and AI             USD 220000        220000
## 205         Machine Learning and AI             USD 100000        100000
## 206       Data Science and Research             USD 220000        220000
## 207       Data Science and Research             USD 100000        100000
## 208                   Data Analysis             USD 110000        110000
## 209                   Data Analysis             USD  80000         80000
## 210                   Data Analysis             GBP  30000         36912
## 211       Data Science and Research             USD 150200        150200
## 212       Data Science and Research             USD  71000         71000
## 213                Data Engineering             USD 167200        167200
## 214                Data Engineering             USD 121000        121000
## 215                Data Engineering             USD 133000        133000
## 216                Data Engineering             USD  58400         58400
## 217       Data Science and Research             USD 135000        135000
## 218       Data Science and Research             USD 110000        110000
## 219       Leadership and Management             GBP  85000        104584
## 220       Leadership and Management             GBP  60000         73824
## 221       Data Science and Research             USD 187415        187415
## 222       Data Science and Research             USD 114080        114080
## 223       Data Science and Research             USD 187415        187415
## 224       Data Science and Research             USD 114080        114080
## 225                Data Engineering             USD 166000        166000
## 226                Data Engineering             USD  73100         73100
## 227         Machine Learning and AI             USD 306400        306400
## 228         Machine Learning and AI             USD 168700        168700
## 229       Data Science and Research             USD 187415        187415
## 230       Data Science and Research             USD 114080        114080
## 231                   Data Analysis             GBP  26800         32974
## 232                   Data Analysis             GBP  26800         32974
## 233                   Data Analysis             USD 165000        165000
## 234                   Data Analysis             USD 140000        140000
## 235       Leadership and Management             USD 150000        150000
## 236                   Data Analysis             USD 167000        167000
## 237                   Data Analysis             USD 121000        121000
## 238            BI and Visualization             USD 185000        185000
## 239            BI and Visualization             USD  79600         79600
## 240       Data Science and Research             USD 190200        190200
## 241       Data Science and Research             USD  95100         95100
## 242                   Data Analysis             USD 133000        133000
## 243                   Data Analysis             USD  58400         58400
## 244                Data Engineering             USD  90000         90000
## 245                Data Engineering             USD  70000         70000
## 246       Data Science and Research             USD 166000        166000
## 247       Data Science and Research             USD  73100         73100
## 248                Data Engineering             USD 135000        135000
## 249                Data Engineering             USD 100000        100000
## 250                Data Engineering             USD 180514        180514
## 251                Data Engineering             USD 108308        108308
## 252         Machine Learning and AI             USD 294000        294000
## 253         Machine Learning and AI             USD 192000        192000
## 254         Machine Learning and AI             USD 266000        266000
## 255         Machine Learning and AI             USD 167000        167000
## 256         Machine Learning and AI             USD 200000        200000
## 257         Machine Learning and AI             USD 150000        150000
## 258                   Data Analysis             USD 163800        163800
## 259                   Data Analysis             USD  88200         88200
## 260                   Data Analysis             USD 180400        180400
## 261                   Data Analysis             USD 138800        138800
## 262                   Data Analysis             GBP  55000         67672
## 263                   Data Analysis             GBP  45000         55368
## 264         Machine Learning and AI             USD 319000        319000
## 265         Machine Learning and AI             USD 206000        206000
## 266       Data Science and Research             USD 215000        215000
## 267       Data Science and Research             USD 142000        142000
## 268       Data Science and Research             USD 266000        266000
## 269       Data Science and Research             USD 167000        167000
## 270                   Data Analysis             USD 140130        140130
## 271                   Data Analysis             USD  84870         84870
## 272                Data Engineering             USD 178300        178300
## 273                Data Engineering             USD 105400        105400
## 274       Data Science and Research             USD 222200        222200
## 275       Data Science and Research             USD 136000        136000
## 276         Machine Learning and AI             USD 215000        215000
## 277         Machine Learning and AI             USD 142000        142000
## 278       Data Science and Research             USD 240000        240000
## 279       Data Science and Research             USD 210000        210000
## 280                Data Engineering             USD 122000        122000
## 281                Data Engineering             USD  94500         94500
## 282                Data Engineering             USD 150000        150000
## 283       Data Science and Research             USD 116000        116000
## 284       Data Science and Research             USD  90000         90000
## 285       Data Science and Research             USD 145000        145000
## 286       Data Science and Research             USD 128000        128000
## 287                Data Engineering             USD 154000        154000
## 288                Data Engineering             USD 126000        126000
## 289         Machine Learning and AI             USD 240000        240000
## 290         Machine Learning and AI             USD 157250        157250
## 291                Data Engineering             USD 219650        219650
## 292                Data Engineering             USD 136000        136000
## 293       Data Science and Research             USD 150000        150000
## 294         Machine Learning and AI             USD 180000        180000
## 295         Machine Learning and AI             USD 125000        125000
## 296       Data Science and Research             USD 247600        247600
## 297       Data Science and Research             USD 127300        127300
## 298       Data Science and Research             USD  60000         60000
## 299       Data Science and Research             USD  55000         55000
## 300                Data Engineering             USD 250000        250000
## 301                Data Engineering             USD 125000        125000
## 302         Machine Learning and AI             USD 190000        190000
## 303         Machine Learning and AI             USD 170000        170000
## 304       Data Science and Research             USD 202600        202600
## 305       Data Science and Research             USD 168800        168800
## 306                Data Engineering             USD 132000        132000
## 307                Data Engineering             USD 111000        111000
## 308       Data Science and Research             USD 203000        203000
## 309       Data Science and Research             USD 127000        127000
## 310            BI and Visualization             USD 125009        125009
## 311            BI and Visualization             USD  83339         83339
## 312                   Data Analysis             USD 112200        112200
## 313                   Data Analysis             USD  91800         91800
## 314         Machine Learning and AI             USD 200000        200000
## 315         Machine Learning and AI             USD 160000        160000
## 316         Machine Learning and AI             EUR 150000        161952
## 317  Data Architecture and Modeling             USD 185000        185000
## 318  Data Architecture and Modeling             USD 150000        150000
## 319                Data Engineering             USD 160000        160000
## 320                Data Engineering             USD 130000        130000
## 321                Data Engineering             USD 145000        145000
## 322                Data Engineering             USD 115000        115000
## 323       Data Science and Research             USD 133000        133000
## 324       Data Science and Research             USD  58300         58300
## 325                Data Engineering             USD 254000        254000
## 326                Data Engineering             USD 159000        159000
## 327                Data Engineering             USD 170000        170000
## 328                Data Engineering             USD  85000         85000
## 329       Data Science and Research             USD 130500        130500
## 330       Data Science and Research             USD 116000        116000
## 331       Data Science and Research             USD  81400         81400
## 332       Data Science and Research             USD  43500         43500
## 333                Data Engineering             USD 169000        169000
## 334                Data Engineering             USD  92000         92000
## 335                   Data Analysis             USD 166000        166000
## 336                   Data Analysis             USD  73100         73100
## 337       Data Science and Research             USD 190000        190000
## 338       Data Science and Research             USD 165000        165000
## 339         Machine Learning and AI             USD 305600        305600
## 340         Machine Learning and AI             USD 146600        146600
## 341                   Data Analysis             USD 150000        150000
## 342                   Data Analysis             USD 120000        120000
## 343                Data Engineering             USD 275000        275000
## 344                Data Engineering             USD 146400        146400
## 345       Data Science and Research             USD 208500        208500
## 346       Data Science and Research             USD 165000        165000
## 347       Data Science and Research             USD 258700        258700
## 348       Data Science and Research             USD 172500        172500
## 349                Data Engineering             USD 150000        150000
## 350                Data Engineering             USD 130000        130000
## 351                Data Engineering             USD 185000        185000
## 352                Data Engineering             USD 150000        150000
## 353                   Data Analysis             USD 166000        166000
## 354                   Data Analysis             USD  73100         73100
## 355            BI and Visualization             USD 198200        198200
## 356            BI and Visualization             USD 110200        110200
## 357         Machine Learning and AI             USD 166000        166000
## 358         Machine Learning and AI             USD  73100         73100
## 359         Machine Learning and AI             USD 212000        212000
## 360         Machine Learning and AI             USD  93300         93300
## 361         Machine Learning and AI             USD 212000        212000
## 362         Machine Learning and AI             USD  93300         93300
## 363                Data Engineering             USD 166000        166000
## 364                Data Engineering             USD  73100         73100
## 365                Data Engineering             USD 167100        167100
## 366                Data Engineering             USD 111400        111400
## 367                Data Engineering             USD 133000        133000
## 368                Data Engineering             USD  58400         58400
## 369       Data Science and Research             USD 166000        166000
## 370       Data Science and Research             USD  73100         73100
## 371                   Data Analysis             USD 170000        170000
## 372                   Data Analysis             USD 145000        145000
## 373       Data Science and Research             USD 212000        212000
## 374       Data Science and Research             USD  93300         93300
## 375  Data Architecture and Modeling             USD 170000        170000
## 376  Data Architecture and Modeling             USD 135000        135000
## 377                Data Engineering             USD 145000        145000
## 378                Data Engineering             USD 115000        115000
## 379                Data Engineering             USD 139810        139810
## 380                Data Engineering             USD  95325         95325
## 381       Data Science and Research             USD 278700        278700
## 382       Data Science and Research             USD 159300        159300
## 383         Machine Learning and AI             USD 226700        226700
## 384         Machine Learning and AI             USD 151100        151100
## 385                Data Engineering             USD 247300        247300
## 386                Data Engineering             USD 139700        139700
## 387       Data Science and Research             USD 188000        188000
## 388       Data Science and Research             USD 139000        139000
## 389       Data Science and Research             USD 150000        150000
## 390                Data Engineering             USD 160000        160000
## 391                Data Engineering             USD  94000         94000
## 392       Leadership and Management             USD 127000        127000
## 393       Leadership and Management             USD  65000         65000
## 394         Machine Learning and AI             USD 276000        276000
## 395         Machine Learning and AI             USD 174000        174000
## 396       Data Science and Research             USD 260000        260000
## 397       Data Science and Research             USD 136000        136000
## 398       Leadership and Management             USD 250000        250000
## 399       Leadership and Management             USD 210000        210000
## 400       Data Science and Research             USD 188000        188000
## 401       Data Science and Research             USD 139000        139000
## 402         Machine Learning and AI             USD 238000        238000
## 403         Machine Learning and AI             USD 176000        176000
## 404         Machine Learning and AI             USD 204500        204500
## 405         Machine Learning and AI             USD 142200        142200
## 406       Data Science and Research             USD 212000        212000
## 407       Data Science and Research             USD 190000        190000
## 408       Data Science and Research             USD 261500        261500
## 409       Data Science and Research             USD 134500        134500
## 410  Data Architecture and Modeling             USD 239000        239000
## 411  Data Architecture and Modeling             USD 122900        122900
## 412       Leadership and Management             USD 115000        115000
## 413       Leadership and Management             USD  95000         95000
## 414       Data Science and Research             USD 158500        158500
## 415       Data Science and Research             USD 115000        115000
## 416         Machine Learning and AI             USD 331640        331640
## 417         Machine Learning and AI             USD 267720        267720
## 418                Data Engineering             USD 180000        180000
## 419                Data Engineering             USD  90000         90000
## 420                   Data Analysis             USD  83000         83000
## 421                   Data Analysis             USD  66000         66000
## 422       Data Science and Research             USD 224250        224250
## 423       Data Science and Research             USD 121550        121550
## 424       Data Science and Research             USD 166000        166000
## 425       Data Science and Research             USD  73100         73100
## 426       Data Science and Research             USD 141298        141298
## 427       Data Science and Research             USD 115607        115607
## 428                Data Engineering             USD 109000        109000
## 429                Data Engineering             USD 100000        100000
## 430       Data Science and Research             USD 205400        205400
## 431       Data Science and Research             USD  92900         92900
## 432         Machine Learning and AI             USD 220000        220000
## 433         Machine Learning and AI             USD 130000        130000
## 434       Data Science and Research             USD 160000        160000
## 435       Data Science and Research             USD 110000        110000
## 436                Data Engineering             USD 230000        230000
## 437                Data Engineering             USD 100000        100000
## 438            BI and Visualization             USD 186030        186030
## 439            BI and Visualization             USD 110200        110200
## 440       Data Science and Research             USD 130000        130000
## 441       Data Science and Research             USD 100000        100000
## 442       Data Science and Research             USD 242000        242000
## 443       Data Science and Research             USD 106200        106200
## 444       Data Science and Research             USD 220000        220000
## 445       Data Science and Research             USD 120000        120000
## 446       Data Science and Research             USD 258000        258000
## 447       Data Science and Research             USD 171000        171000
## 448       Data Science and Research             USD  91200         91200
## 449       Data Science and Research             USD  58200         58200
## 450       Data Science and Research             USD 192000        192000
## 451       Data Science and Research             USD 178000        178000
## 452                Data Engineering             USD 210000        210000
## 453                Data Engineering             USD 130000        130000
## 454       Data Science and Research             USD 160000        160000
## 455       Data Science and Research             USD 150000        150000
## 456       Data Science and Research             USD 260000        260000
## 457       Data Science and Research             USD 136000        136000
## 458  Data Architecture and Modeling             USD 206000        206000
## 459  Data Architecture and Modeling             USD 134000        134000
## 460       Data Science and Research             USD 180000        180000
## 461       Data Science and Research             USD 135000        135000
## 462       Data Science and Research             USD 200000        200000
## 463       Data Science and Research             USD 120000        120000
## 464         Machine Learning and AI             USD 212000        212000
## 465         Machine Learning and AI             USD  93300         93300
## 466                Data Engineering             USD 106700        106700
## 467                Data Engineering             USD  57700         57700
## 468         Machine Learning and AI             USD 266400        266400
## 469         Machine Learning and AI             USD 173300        173300
## 470                   Data Analysis             USD 125000        125000
## 471                   Data Analysis             USD 100000        100000
## 472            BI and Visualization             USD 165600        165600
## 473            BI and Visualization             USD  65800         65800
## 474       Data Science and Research             USD 210400        210400
## 475       Data Science and Research             USD 170500        170500
## 476       Data Science and Research             USD 212000        212000
## 477       Data Science and Research             USD  93300         93300
## 478                Data Engineering             USD 170000        170000
## 479                Data Engineering             USD 160000        160000
## 480       Data Science and Research             USD 185400        185400
## 481       Data Science and Research             USD  81536         81536
## 482                   Data Analysis             USD 193000        193000
## 483                   Data Analysis             USD 158000        158000
## 484                Data Engineering             USD 170000        170000
## 485                Data Engineering             USD 100000        100000
## 486       Data Science and Research             USD 222200        222200
## 487       Data Science and Research             USD 136000        136000
## 488                Data Engineering             USD 148000        148000
## 489                Data Engineering             USD  99000         99000
## 490         Machine Learning and AI             USD 204500        204500
## 491         Machine Learning and AI             USD 142200        142200
## 492                   Data Analysis             USD  95000         95000
## 493                   Data Analysis             USD  75000         75000
## 494                   Data Analysis             USD 115000        115000
## 495                   Data Analysis             USD 105000        105000
## 496                Data Engineering             USD 195800        195800
## 497                Data Engineering             USD 161900        161900
## 498                   Data Analysis             USD  90000         90000
## 499                   Data Analysis             USD  80000         80000
## 500                   Data Analysis             USD 192500        192500
## 501                   Data Analysis             USD 140000        140000
## 502       Leadership and Management             USD 100000        100000
## 503       Leadership and Management             USD  75000         75000
## 504                Data Engineering             USD 169000        169000
## 505                Data Engineering             USD  91000         91000
## 506         Machine Learning and AI             USD 216600        216600
## 507         Machine Learning and AI             USD 144400        144400
## 508                   Data Analysis             USD 150000        150000
## 509                   Data Analysis             USD 120000        120000
## 510                Data Engineering             USD 133000        133000
## 511                Data Engineering             USD  58400         58400
## 512       Data Science and Research             USD 166000        166000
## 513       Data Science and Research             USD  73100         73100
## 514       Data Science and Research             USD 166000        166000
## 515       Data Science and Research             USD  73100         73100
## 516         Machine Learning and AI             USD 336300        336300
## 517         Machine Learning and AI             USD 179000        179000
## 518         Machine Learning and AI             USD 296400        296400
## 519         Machine Learning and AI             USD 159600        159600
## 520       Data Science and Research             USD 212000        212000
## 521       Data Science and Research             USD  93300         93300
## 522         Machine Learning and AI             USD 204500        204500
## 523         Machine Learning and AI             USD 142200        142200
## 524       Leadership and Management             USD 258500        258500
## 525       Leadership and Management             USD 226500        226500
## 526       Data Science and Research             USD 247250        247250
## 527       Data Science and Research             USD 118400        118400
## 528            BI and Visualization             USD 160000        160000
## 529            BI and Visualization             USD 140000        140000
## 530         Machine Learning and AI             USD 212000        212000
## 531         Machine Learning and AI             USD  93400         93400
## 532       Data Science and Research             GBP 140000        172256
## 533       Data Science and Research             GBP 100000        123040
## 534       Data Science and Research             USD 219000        219000
## 535       Data Science and Research             USD 132000        132000
## 536       Data Science and Research             USD 130500        130500
## 537       Data Science and Research             USD 116000        116000
## 538       Data Science and Research             USD 323300        323300
## 539       Data Science and Research             USD 184700        184700
## 540         Machine Learning and AI             USD 250000        250000
## 541         Machine Learning and AI             USD 200000        200000
## 542       Data Science and Research             USD 136000        136000
## 543       Data Science and Research             USD  91000         91000
## 544       Data Science and Research             USD 185900        185900
## 545       Data Science and Research             USD 129300        129300
## 546                   Data Analysis             USD 143000        143000
## 547                   Data Analysis             USD  78000         78000
## 548       Data Science and Research             USD 135000        135000
## 549       Data Science and Research             USD 110000        110000
## 550                Data Engineering             USD 142000        142000
## 551                Data Engineering             USD 102200        102200
## 552       Data Science and Research             USD 137500        137500
## 553       Data Science and Research             USD  81500         81500
## 554            BI and Visualization             USD 202000        202000
## 555            BI and Visualization             USD 147000        147000
## 556       Data Science and Research             USD 140000        140000
## 557       Data Science and Research             USD 125000        125000
## 558       Data Science and Research             USD 170625        170625
## 559       Data Science and Research             USD 127950        127950
## 560       Data Science and Research             GBP 100000        123040
## 561       Data Science and Research             GBP  70000         86128
## 562                   Data Analysis             USD  85256         85256
## 563                   Data Analysis             USD  71615         71615
## 564       Data Science and Research             USD 100000        100000
## 565       Data Science and Research             USD 100000        100000
## 566                Data Engineering             USD 185000        185000
## 567                Data Engineering             USD 125000        125000
## 568    Data Management and Strategy             USD  60000         60000
## 569    Data Management and Strategy             USD  52000         52000
## 570         Machine Learning and AI             USD 300000        300000
## 571         Machine Learning and AI             USD 260000        260000
## 572       Data Science and Research             USD 225000        225000
## 573       Data Science and Research             USD 170000        170000
## 574            BI and Visualization             USD 100000        100000
## 575            BI and Visualization             USD  80000         80000
## 576         Machine Learning and AI             USD 204500        204500
## 577         Machine Learning and AI             USD 142200        142200
## 578       Data Science and Research             USD 135000        135000
## 579       Data Science and Research             USD 100000        100000
## 580       Data Science and Research             USD 297300        297300
## 581       Data Science and Research             USD 198200        198200
## 582         Machine Learning and AI             USD 240000        240000
## 583         Machine Learning and AI             USD 190000        190000
## 584            BI and Visualization             USD 185000        185000
## 585            BI and Visualization             USD  79600         79600
## 586       Data Science and Research             USD 222200        222200
## 587       Data Science and Research             USD 136000        136000
## 588                Data Engineering             USD 110000        110000
## 589                Data Engineering             USD  95000         95000
## 590         Machine Learning and AI             USD 324000        324000
## 591         Machine Learning and AI             USD 159000        159000
## 592         Machine Learning and AI             USD 207700        207700
## 593         Machine Learning and AI             USD 133700        133700
## 594       Data Science and Research             USD  71000         71000
## 595       Data Science and Research             USD  57000         57000
## 596       Data Science and Research             USD 222200        222200
## 597       Data Science and Research             USD 136000        136000
## 598         Machine Learning and AI             USD 200000        200000
## 599         Machine Learning and AI             USD 150000        150000
## 600                   Data Analysis             USD  59000         59000
## 601                   Data Analysis             USD  50000         50000
## 602         Machine Learning and AI             USD 234000        234000
## 603         Machine Learning and AI             USD 208000        208000
## 604       Leadership and Management             USD 187000        187000
## 605       Leadership and Management             USD 128000        128000
## 606            BI and Visualization             USD 202000        202000
## 607            BI and Visualization             USD 147000        147000
## 608         Machine Learning and AI             USD  50000         50000
## 609       Data Science and Research             EUR  60000         64781
## 610       Data Science and Research             EUR  53000         57223
## 611       Data Science and Research             USD  21000         21000
## 612                   Data Analysis             USD 135000        135000
## 613                   Data Analysis             USD 120000        120000
## 614  Data Architecture and Modeling             USD 150000        150000
## 615  Data Architecture and Modeling             USD 140000        140000
## 616       Data Science and Research             USD 190000        190000
## 617       Data Science and Research             USD 165000        165000
## 618       Data Science and Research             USD 280000        280000
## 619       Data Science and Research             USD 190000        190000
## 620       Data Science and Research             USD 212000        212000
## 621       Data Science and Research             USD 190000        190000
## 622            BI and Visualization             GBP  35000         43064
## 623            BI and Visualization             GBP  35000         43064
## 624         Machine Learning and AI             USD 245700        245700
## 625         Machine Learning and AI             USD 132300        132300
## 626    Data Management and Strategy             USD  90000         90000
## 627    Data Management and Strategy             USD  80000         80000
## 628         Machine Learning and AI             USD 212000        212000
## 629         Machine Learning and AI             USD  93300         93300
## 630       Data Science and Research             USD 212000        212000
## 631       Data Science and Research             USD  93300         93300
## 632         Machine Learning and AI             USD 276000        276000
## 633         Machine Learning and AI             USD 174000        174000
## 634                Data Engineering             USD 133000        133000
## 635                Data Engineering             USD  58300         58300
## 636                   Data Analysis             USD 145640        145640
## 637                   Data Analysis             USD  84400         84400
## 638                Data Engineering             USD 300000        300000
## 639                Data Engineering             USD 195000        195000
## 640  Data Architecture and Modeling             USD 190000        190000
## 641  Data Architecture and Modeling             USD 107500        107500
## 642                   Data Analysis             USD 105000        105000
## 643                   Data Analysis             USD  75000         75000
## 644                   Data Analysis             USD 140000        140000
## 645                   Data Analysis             USD  98000         98000
## 646         Machine Learning and AI             USD 204500        204500
## 647         Machine Learning and AI             USD 142200        142200
## 648       Data Science and Research             USD 236160        236160
## 649       Data Science and Research             USD 159408        159408
## 650                   Data Analysis             USD 115000        115000
## 651                   Data Analysis             USD  85000         85000
## 652       Leadership and Management             USD 145000        145000
## 653       Leadership and Management             USD 120000        120000
## 654                   Data Analysis             USD 120350        120350
## 655                   Data Analysis             USD  74400         74400
## 656                   Data Analysis             USD 158494        158494
## 657                   Data Analysis             USD  88052         88052
## 658       Leadership and Management             USD 181500        181500
## 659       Leadership and Management             USD 127000        127000
## 660         Machine Learning and AI             USD 300000        300000
## 661         Machine Learning and AI             USD 260000        260000
## 662       Data Science and Research             USD 258000        258000
## 663       Data Science and Research             USD 171000        171000
## 664                   Data Analysis             USD  25000         25000
## 665       Data Science and Research             USD 200000        200000
## 666       Data Science and Research             USD 150000        150000
## 667         Machine Learning and AI             USD 225300        225300
## 668         Machine Learning and AI             USD 197400        197400
## 669                Data Engineering             USD 205500        205500
## 670                Data Engineering             USD 128500        128500
## 671  Data Architecture and Modeling             USD 191600        191600
## 672  Data Architecture and Modeling             USD 125600        125600
## 673         Machine Learning and AI             USD 245700        245700
## 674         Machine Learning and AI             USD 132300        132300
## 675       Data Science and Research             USD 130410        130410
## 676       Data Science and Research             USD  92000         92000
## 677       Data Science and Research             USD 183900        183900
## 678       Data Science and Research             USD 108800        108800
## 679         Machine Learning and AI             USD 275000        275000
## 680         Machine Learning and AI             USD 121200        121200
## 681       Data Science and Research             USD 166000        166000
## 682       Data Science and Research             USD  73100         73100
## 683       Data Science and Research             USD 231250        231250
## 684       Data Science and Research             USD 111000        111000
## 685                Data Engineering             USD 300000        300000
## 686                Data Engineering             USD 130000        130000
## 687                Data Engineering             USD 210500        210500
## 688                Data Engineering             USD 105300        105300
## 689                Data Engineering             USD 158400        158400
## 690                Data Engineering             USD  85800         85800
## 691         Machine Learning and AI             USD 305600        305600
## 692         Machine Learning and AI             USD 146600        146600
## 693                   Data Analysis             USD 180400        180400
## 694                   Data Analysis             USD 138800        138800
## 695       Data Science and Research             USD 258700        258700
## 696       Data Science and Research             USD 172500        172500
## 697       Data Science and Research             USD 156100        156100
## 698       Data Science and Research             USD 100400        100400
## 699                   Data Analysis             USD 134200        134200
## 700                   Data Analysis             USD 103200        103200
## 701                   Data Analysis             USD 105000        105000
## 702                   Data Analysis             USD  85000         85000
## 703       Data Science and Research             USD 220000        220000
## 704       Data Science and Research             USD 160000        160000
## 705                   Data Analysis             USD 110000        110000
## 706                   Data Analysis             USD  95000         95000
## 707                   Data Analysis             USD  95400         95400
## 708                   Data Analysis             USD  57800         57800
## 709       Data Science and Research             USD 110000        110000
## 710       Data Science and Research             USD  86000         86000
## 711                   Data Analysis             USD 125000        125000
## 712                   Data Analysis             USD  87500         87500
## 713            BI and Visualization             USD 185000        185000
## 714            BI and Visualization             USD  79600         79600
## 715         Machine Learning and AI             USD 275000        275000
## 716         Machine Learning and AI             USD 170000        170000
## 717                Data Engineering             USD 133200        133200
## 718                Data Engineering             USD  84000         84000
## 719                   Data Analysis             USD 171000        171000
## 720                   Data Analysis             USD  93000         93000
## 721       Leadership and Management             USD 216450        216450
## 722       Leadership and Management             USD 123750        123750
## 723       Data Science and Research             USD 212800        212800
## 724       Data Science and Research             USD 124100        124100
## 725       Data Science and Research             USD 205000        205000
## 726       Data Science and Research             USD 166000        166000
## 727       Data Science and Research             USD 231650        231650
## 728       Data Science and Research             USD 189100        189100
## 729                Data Engineering             USD 160000        160000
## 730                Data Engineering             USD 120000        120000
## 731       Data Science and Research             USD 156100        156100
## 732       Data Science and Research             USD 100400        100400
## 733                Data Engineering             USD 266875        266875
## 734                Data Engineering             USD 128250        128250
## 735                Data Engineering             USD 158600        158600
## 736                Data Engineering             USD 115300        115300
## 737                Data Engineering             USD 225300        225300
## 738                Data Engineering             USD 197400        197400
## 739                   Data Analysis             USD 109900        109900
## 740                   Data Analysis             USD  61200         61200
## 741                Data Engineering             USD 161000        161000
## 742                Data Engineering             USD  75000         75000
## 743                   Data Analysis             USD 166000        166000
## 744                   Data Analysis             USD  73100         73100
## 745       Data Science and Research             USD 138510        138510
## 746       Data Science and Research             USD  95490         95490
## 747                   Data Analysis             USD 150000        150000
## 748                   Data Analysis             USD 110000        110000
## 749       Data Science and Research             USD 232200        232200
## 750       Data Science and Research             USD 133300        133300
## 751         Machine Learning and AI             EUR 112800        121788
## 752         Machine Learning and AI             EUR  73200         79032
## 753       Leadership and Management             USD 178250        178250
## 754       Leadership and Management             USD 110500        110500
## 755         Machine Learning and AI             USD 190000        190000
## 756         Machine Learning and AI             USD 160000        160000
## 757       Data Science and Research             USD 216000        216000
## 758       Data Science and Research             USD 184000        184000
## 759       Data Science and Research             USD 166000        166000
## 760       Data Science and Research             USD 104000        104000
## 761            BI and Visualization             USD 185000        185000
## 762            BI and Visualization             USD  79600         79600
## 763         Machine Learning and AI             USD 230000        230000
## 764         Machine Learning and AI             USD 196000        196000
## 765                Data Engineering             USD 184000        184000
## 766                Data Engineering             USD 123000        123000
## 767            BI and Visualization             USD 165600        165600
## 768            BI and Visualization             USD  65800         65800
## 769                Data Engineering             USD 186000        186000
## 770                Data Engineering             USD  81800         81800
## 771                   Data Analysis             USD 135000        135000
## 772                   Data Analysis             USD  82500         82500
## 773                Data Engineering             USD 247250        247250
## 774                Data Engineering             USD 160000        160000
## 775         Machine Learning and AI             USD 169000        169000
## 776         Machine Learning and AI             USD 105500        105500
## 777       Data Science and Research             USD 195800        195800
## 778       Data Science and Research             USD 161900        161900
## 779            BI and Visualization             USD 108500        108500
## 780            BI and Visualization             USD  78800         78800
## 781       Data Science and Research             USD 225000        225000
## 782       Data Science and Research             USD 166000        166000
## 783            BI and Visualization             USD 167500        167500
## 784            BI and Visualization             USD 106500        106500
## 785            BI and Visualization             USD 160000        160000
## 786            BI and Visualization             USD 110000        110000
## 787                   Data Analysis             USD 120000        120000
## 788                   Data Analysis             USD 105000        105000
## 789                   Data Analysis             USD 110000        110000
## 790                   Data Analysis             USD  87500         87500
## 791       Data Science and Research             USD  60000         60000
## 792       Data Science and Research             USD  55000         55000
## 793                Data Engineering             USD 145000        145000
## 794                Data Engineering             USD 115000        115000
## 795       Data Science and Research             USD 225000        225000
## 796       Data Science and Research             USD 166000        166000
## 797                Data Engineering             USD 135000        135000
## 798                Data Engineering             USD 100000        100000
## 799         Machine Learning and AI             USD 105000        105000
## 800         Machine Learning and AI             USD  95000         95000
## 801       Leadership and Management             USD 289800        289800
## 802       Leadership and Management             USD 214200        214200
## 803                Data Engineering             USD 167500        167500
## 804                Data Engineering             USD 106500        106500
## 805       Data Science and Research             USD 220000        220000
## 806       Data Science and Research             USD 146000        146000
## 807                Data Engineering             USD 128000        128000
## 808                Data Engineering             USD  81500         81500
## 809  Data Architecture and Modeling             USD 206000        206000
## 810  Data Architecture and Modeling             USD 134000        134000
## 811       Data Science and Research             USD 370000        370000
## 812       Data Science and Research             USD 200000        200000
## 813       Leadership and Management             USD 175000        175000
## 814       Leadership and Management             USD 160000        160000
## 815    Data Management and Strategy             USD 240000        240000
## 816    Data Management and Strategy             USD 100000        100000
## 817       Data Science and Research             USD 180000        180000
## 818       Data Science and Research             USD 160000        160000
## 819            BI and Visualization             USD 143000        143000
## 820            BI and Visualization             USD 127000        127000
## 821       Data Science and Research             USD 249300        249300
## 822       Data Science and Research             USD 149300        149300
## 823       Data Science and Research             USD 222200        222200
## 824       Data Science and Research             USD 136000        136000
## 825                Data Engineering             USD 190000        190000
## 826                Data Engineering             USD 160000        160000
## 827       Data Science and Research             USD 248100        248100
## 828       Data Science and Research             USD 145900        145900
## 829       Data Science and Research             USD 170200        170200
## 830       Data Science and Research             USD  83900         83900
## 831       Leadership and Management             USD 100000        100000
## 832       Leadership and Management             USD  75000         75000
## 833       Data Science and Research             USD 166000        166000
## 834       Data Science and Research             USD  90000         90000
## 835       Data Science and Research             USD 160000        160000
## 836       Data Science and Research             USD  94100         94100
## 837         Machine Learning and AI             USD 226600        226600
## 838         Machine Learning and AI             USD 140100        140100
## 839       Data Science and Research             USD 247600        247600
## 840       Data Science and Research             USD 127300        127300
## 841       Data Science and Research             USD 222200        222200
## 842       Data Science and Research             USD 136000        136000
## 843       Data Science and Research             USD 260000        260000
## 844       Data Science and Research             USD 136000        136000
## 845       Data Science and Research             USD 222200        222200
## 846       Data Science and Research             USD 136000        136000
## 847                   Data Analysis             USD 156000        156000
## 848                   Data Analysis             USD 124000        124000
## 849                Data Engineering             USD 200000        200000
## 850                Data Engineering             USD 132600        132600
## 851       Data Science and Research             USD 308000        308000
## 852       Data Science and Research             USD 190400        190400
## 853  Data Architecture and Modeling             USD 155000        155000
## 854  Data Architecture and Modeling             USD 136000        136000
## 855                Data Engineering             USD 160000        160000
## 856                Data Engineering             USD  75000         75000
## 857         Machine Learning and AI             USD 214500        214500
## 858         Machine Learning and AI             USD 132600        132600
## 859                   Data Analysis             USD 111000        111000
## 860                   Data Analysis             USD 104000        104000
## 861       Data Science and Research             USD 260000        260000
## 862       Data Science and Research             USD 136000        136000
## 863                Data Engineering             USD  85000         85000
## 864                Data Engineering             USD  75000         75000
## 865       Data Science and Research             USD 180250        180250
## 866       Data Science and Research             USD 118000        118000
## 867       Data Science and Research             USD 212800        212800
## 868       Data Science and Research             USD 111600        111600
## 869                   Data Analysis             USD 157500        157500
## 870                   Data Analysis             USD 132500        132500
## 871                   Data Analysis             USD  85000         85000
## 872                   Data Analysis             USD  75000         75000
## 873                   Data Analysis             USD  93918         93918
## 874                   Data Analysis             USD  51962         51962
## 875            BI and Visualization             USD 171000        171000
## 876            BI and Visualization             USD 152000        152000
## 877         Machine Learning and AI             USD 223600        223600
## 878         Machine Learning and AI             USD 115000        115000
## 879                Data Engineering             USD 166000        166000
## 880                Data Engineering             USD  73100         73100
## 881            BI and Visualization             USD 140000        140000
## 882            BI and Visualization             USD 110000        110000
## 883       Data Science and Research             USD 130900        130900
## 884       Data Science and Research             USD  72700         72700
## 885         Machine Learning and AI             USD 333500        333500
## 886         Machine Learning and AI             USD 144000        144000
## 887            BI and Visualization             USD 180000        180000
## 888            BI and Visualization             USD 118200        118200
## 889  Data Architecture and Modeling             USD 354200        354200
## 890  Data Architecture and Modeling             USD 221800        221800
## 891                   Data Analysis             USD 166000        166000
## 892                   Data Analysis             USD  73000         73000
## 893                Data Engineering             USD 156600        156600
## 894                Data Engineering             USD 137200        137200
## 895                   Data Analysis             USD 149000        149000
## 896                   Data Analysis             USD  65300         65300
## 897                Data Engineering             USD 187000        187000
## 898                Data Engineering             USD 180000        180000
## 899                   Data Analysis             USD 119636        119636
## 900                   Data Analysis             USD  70374         70374
## 901                   Data Analysis             USD 105000        105000
## 902                   Data Analysis             USD  67000         67000
## 903                   Data Analysis             USD 102000        102000
## 904                   Data Analysis             USD  94770         94770
## 905  Data Architecture and Modeling             USD 186000        186000
## 906  Data Architecture and Modeling             USD  81800         81800
## 907       Data Science and Research             USD 133000        133000
## 908       Data Science and Research             USD  58400         58400
## 909       Leadership and Management             USD 169900        169900
## 910       Leadership and Management             USD 164100        164100
## 911       Data Science and Research             USD 305600        305600
## 912       Data Science and Research             USD 172500        172500
## 913                   Data Analysis             USD 105000        105000
## 914                   Data Analysis             USD  75000         75000
## 915       Leadership and Management             EUR  34800         37573
## 916       Data Science and Research             GBP  30000         36940
## 917         Machine Learning and AI             USD 180240        180240
## 918         Machine Learning and AI             USD 120160        120160
## 919       Data Science and Research             USD 212000        212000
## 920       Data Science and Research             USD  93400         93400
## 921         Machine Learning and AI             USD 275000        275000
## 922         Machine Learning and AI             USD 170000        170000
## 923       Data Science and Research             USD 119000        119000
## 924       Data Science and Research             USD  71400         71400
## 925                   Data Analysis             USD 115950        115950
## 926                   Data Analysis             USD  69570         69570
## 927       Data Science and Research             USD 225100        225100
## 928       Data Science and Research             USD 140900        140900
## 929       Data Science and Research             USD 116000        116000
## 930       Data Science and Research             USD  90000         90000
## 931       Data Science and Research             USD 212000        212000
## 932       Data Science and Research             USD  93300         93300
## 933         Machine Learning and AI             USD 179000        179000
## 934         Machine Learning and AI             USD 144000        144000
## 935       Data Science and Research             USD 250800        250800
## 936       Data Science and Research             USD 167200        167200
## 937       Data Science and Research             USD 144000        144000
## 938       Data Science and Research             USD  76000         76000
## 939       Leadership and Management             USD 230000        230000
## 940       Leadership and Management             USD 180000        180000
## 941       Data Science and Research             USD 156450        156450
## 942       Data Science and Research             USD 119200        119200
## 943       Data Science and Research             USD 150000        150000
## 944       Data Science and Research             USD 130000        130000
## 945       Leadership and Management             USD 247500        247500
## 946       Leadership and Management             USD 172200        172200
## 947         Machine Learning and AI             USD 155000        155000
## 948         Machine Learning and AI             USD 125000        125000
## 949                Data Engineering             USD 175000        175000
## 950                Data Engineering             USD  97500         97500
## 951       Data Science and Research             USD 220000        220000
## 952       Data Science and Research             USD 185000        185000
## 953                   Data Analysis             USD 100000        100000
## 954                   Data Analysis             USD  75000         75000
## 955       Data Science and Research             USD 303050        303050
## 956       Data Science and Research             USD 202350        202350
## 957         Machine Learning and AI             EUR  20000         21593
## 958       Data Science and Research             USD 201650        201650
## 959       Data Science and Research             USD 124600        124600
## 960            BI and Visualization             USD 198200        198200
## 961            BI and Visualization             USD 110200        110200
## 962       Data Science and Research             USD 212000        212000
## 963       Data Science and Research             USD  93400         93400
## 964                   Data Analysis             USD 145000        145000
## 965                   Data Analysis             USD 110000        110000
## 966            BI and Visualization             USD  89500         89500
## 967            BI and Visualization             USD  65000         65000
## 968         Machine Learning and AI             USD 328400        328400
## 969         Machine Learning and AI             USD 205600        205600
## 970       Data Science and Research             USD 184800        184800
## 971       Data Science and Research             USD 161900        161900
## 972                Data Engineering             USD  85000         85000
## 973                Data Engineering             USD  61800         61800
## 974                Data Engineering             GBP  57500         70748
## 975                Data Engineering             GBP  54500         67056
## 976                   Data Analysis             USD 116000        116000
## 977                   Data Analysis             USD  72500         72500
## 978         Machine Learning and AI             USD 215000        215000
## 979         Machine Learning and AI             USD 169850        169850
## 980            BI and Visualization             USD 225000        225000
## 981            BI and Visualization             USD 180000        180000
## 982       Data Science and Research             USD 147400        147400
## 983       Data Science and Research             USD 107682        107682
## 984       Data Science and Research             USD 225300        225300
## 985       Data Science and Research             USD 197400        197400
## 986       Leadership and Management             USD 160000        160000
## 987       Leadership and Management             USD 136000        136000
## 988         Machine Learning and AI             USD 204600        204600
## 989         Machine Learning and AI             USD 126500        126500
## 990  Data Architecture and Modeling             USD 210000        210000
## 991  Data Architecture and Modeling             USD 115000        115000
## 992                   Data Analysis             USD  86500         86500
## 993                   Data Analysis             USD  40400         40400
## 994       Data Science and Research             USD 260000        260000
## 995       Data Science and Research             USD 136000        136000
## 996       Data Science and Research             USD 329700        329700
## 997       Data Science and Research             USD 192351        192351
## 998                Data Engineering             USD 280000        280000
## 999                Data Engineering             USD 160000        160000
## 1000           BI and Visualization             USD 106700        106700
## 1001           BI and Visualization             USD  97000         97000
## 1002                  Data Analysis             USD 175000        175000
## 1003                  Data Analysis             USD 150000        150000
## 1004      Leadership and Management             USD 145000        145000
## 1005      Leadership and Management             USD 120000        120000
## 1006               Data Engineering             USD  88000         88000
## 1007               Data Engineering             USD  60000         60000
## 1008   Data Management and Strategy             USD 123000        123000
## 1009   Data Management and Strategy             USD  93593         93593
## 1010        Machine Learning and AI             USD 276000        276000
## 1011        Machine Learning and AI             USD 174000        174000
## 1012      Data Science and Research             USD 185900        185900
## 1013      Data Science and Research             USD 129300        129300
## 1014        Machine Learning and AI             USD 222405        222405
## 1015        Machine Learning and AI             USD 172800        172800
## 1016                  Data Analysis             USD 120350        120350
## 1017                  Data Analysis             USD  74400         74400
## 1018               Data Engineering             USD 205600        205600
## 1019               Data Engineering             USD 105700        105700
## 1020        Machine Learning and AI             USD 263500        263500
## 1021        Machine Learning and AI             USD 189360        189360
## 1022        Machine Learning and AI             USD 192000        192000
## 1023        Machine Learning and AI             USD 124000        124000
## 1024        Machine Learning and AI             USD 230000        230000
## 1025        Machine Learning and AI             USD 124000        124000
## 1026               Data Engineering             USD 148500        148500
## 1027               Data Engineering             USD  82500         82500
## 1028               Data Engineering             USD 184800        184800
## 1029               Data Engineering             USD 161900        161900
## 1030 Data Architecture and Modeling             USD 310000        310000
## 1031 Data Architecture and Modeling             USD 206000        206000
## 1032        Machine Learning and AI             USD 372000        372000
## 1033        Machine Learning and AI             USD 223000        223000
## 1034      Data Science and Research             GBP 140000        172256
## 1035      Data Science and Research             GBP 100000        123040
## 1036                  Data Analysis             USD  95000         95000
## 1037                  Data Analysis             USD  80000         80000
## 1038      Data Science and Research             USD 131000        131000
## 1039      Data Science and Research             USD 110000        110000
## 1040               Data Engineering             USD 148500        148500
## 1041               Data Engineering             USD  82500         82500
## 1042               Data Engineering             USD 133000        133000
## 1043               Data Engineering             USD  58400         58400
## 1044      Leadership and Management             USD 233500        233500
## 1045      Leadership and Management             USD 146000        146000
## 1046               Data Engineering             USD 300000        300000
## 1047               Data Engineering             USD 130000        130000
## 1048      Data Science and Research             USD 280889        280889
## 1049      Data Science and Research             USD 187259        187259
## 1050        Machine Learning and AI             USD 305100        305100
## 1051        Machine Learning and AI             USD 146900        146900
## 1052           BI and Visualization             USD  78800         78800
## 1053           BI and Visualization             USD  44100         44100
## 1054        Machine Learning and AI             USD 166000        166000
## 1055        Machine Learning and AI             USD  73100         73100
## 1056      Data Science and Research             USD 150000        150000
## 1057      Data Science and Research             USD  80000         80000
## 1058      Leadership and Management             USD 150000        150000
## 1059      Leadership and Management             USD  80000         80000
## 1060      Data Science and Research             USD 170000        170000
## 1061      Data Science and Research             USD 120000        120000
## 1062               Data Engineering             USD 110000        110000
## 1063               Data Engineering             USD  90000         90000
## 1064           BI and Visualization             USD 202800        202800
## 1065           BI and Visualization             USD 104300        104300
## 1066      Data Science and Research             USD 272400        272400
## 1067      Data Science and Research             USD 140100        140100
## 1068               Data Engineering             USD 154000        154000
## 1069               Data Engineering             USD 103000        103000
## 1070        Machine Learning and AI             USD 223600        223600
## 1071        Machine Learning and AI             USD 115000        115000
## 1072           BI and Visualization             USD  80750         80750
## 1073           BI and Visualization             USD  48450         48450
## 1074           BI and Visualization             USD  85600         85600
## 1075           BI and Visualization             USD  57000         57000
## 1076               Data Engineering             USD 190400        190400
## 1077               Data Engineering             USD 112000        112000
## 1078 Data Architecture and Modeling             USD 119636        119636
## 1079 Data Architecture and Modeling             USD  70374         70374
## 1080               Data Engineering             USD 304750        304750
## 1081               Data Engineering             USD 160000        160000
## 1082                  Data Analysis             USD  98873         98873
## 1083                  Data Analysis             USD  58161         58161
## 1084      Leadership and Management             USD 138000        138000
## 1085      Leadership and Management             USD  85500         85500
## 1086      Data Science and Research             USD 307100        307100
## 1087      Data Science and Research             USD 216800        216800
## 1088      Data Science and Research             USD 153600        153600
## 1089      Data Science and Research             USD 106800        106800
## 1090                  Data Analysis             USD 250000        250000
## 1091                  Data Analysis             USD 125000        125000
## 1092        Machine Learning and AI             USD 280000        280000
## 1093        Machine Learning and AI             USD 180000        180000
## 1094               Data Engineering             USD 160000        160000
## 1095               Data Engineering             USD 130000        130000
## 1096      Data Science and Research             USD 180000        180000
## 1097      Data Science and Research             USD 162000        162000
## 1098           BI and Visualization             USD 185000        185000
## 1099           BI and Visualization             USD  79600         79600
## 1100                  Data Analysis             USD 164640        164640
## 1101                  Data Analysis             USD 131712        131712
## 1102                  Data Analysis             USD  74800         74800
## 1103                  Data Analysis             USD  63600         63600
## 1104      Data Science and Research             USD 138510        138510
## 1105      Data Science and Research             USD  95490         95490
## 1106        Machine Learning and AI             GBP  75000         92280
## 1107        Machine Learning and AI             GBP  55000         67672
## 1108               Data Engineering             USD 280000        280000
## 1109               Data Engineering             USD 160000        160000
## 1110        Machine Learning and AI             USD 170000        170000
## 1111        Machine Learning and AI             USD 140000        140000
## 1112      Data Science and Research             USD 137500        137500
## 1113      Data Science and Research             USD  81500         81500
## 1114               Data Engineering             USD 253792        253792
## 1115               Data Engineering             USD 158620        158620
## 1116           BI and Visualization             USD 259900        259900
## 1117           BI and Visualization             USD 139200        139200
## 1118        Machine Learning and AI             GBP  96000        118118
## 1119        Machine Learning and AI             GBP  65000         79976
## 1120      Data Science and Research             USD 293000        293000
## 1121      Data Science and Research             USD 185000        185000
## 1122               Data Engineering             USD 180000        180000
## 1123               Data Engineering             USD  90000         90000
## 1124      Data Science and Research             USD 165000        165000
## 1125      Data Science and Research             USD 115500        115500
## 1126               Data Engineering             USD 110000        110000
## 1127               Data Engineering             USD  70000         70000
## 1128      Data Science and Research             USD 142000        142000
## 1129      Data Science and Research             USD 102000        102000
## 1130    Data Quality and Operations             USD 141600        141600
## 1131    Data Quality and Operations             USD 121400        121400
## 1132               Data Engineering             USD 240000        240000
## 1133               Data Engineering             USD 170000        170000
## 1134      Data Science and Research             USD 222200        222200
## 1135      Data Science and Research             USD 136000        136000
## 1136                  Data Analysis             USD  55000         55000
## 1137                  Data Analysis             USD  49000         49000
## 1138               Data Engineering             USD 135000        135000
## 1139               Data Engineering             USD 110000        110000
## 1140               Data Engineering             USD 200000        200000
## 1141               Data Engineering             USD 180000        180000
## 1142      Data Science and Research             GBP 200000        246080
## 1143      Data Science and Research             GBP 150000        184560
## 1144      Data Science and Research             USD 168000        168000
## 1145      Data Science and Research             USD 130000        130000
## 1146      Data Science and Research             USD 105000        105000
## 1147      Data Science and Research             USD  70000         70000
## 1148                  Data Analysis             USD 105000        105000
## 1149                  Data Analysis             USD 100000        100000
## 1150               Data Engineering             USD 243000        243000
## 1151               Data Engineering             USD 152000        152000
## 1152           BI and Visualization             USD 167500        167500
## 1153           BI and Visualization             USD 106500        106500
## 1154                  Data Analysis             GBP  65000         79976
## 1155           BI and Visualization             USD 115600        115600
## 1156           BI and Visualization             USD  79700         79700
## 1157      Data Science and Research             USD 281700        281700
## 1158      Data Science and Research             USD 141100        141100
## 1159   Data Management and Strategy             USD 173100        173100
## 1160   Data Management and Strategy             USD  86900         86900
## 1161        Machine Learning and AI             USD 258700        258700
## 1162        Machine Learning and AI             USD 133800        133800
## 1163                  Data Analysis             USD 120000        120000
## 1164                  Data Analysis             USD  85000         85000
## 1165        Machine Learning and AI             USD 225300        225300
## 1166        Machine Learning and AI             USD 197400        197400
## 1167                  Data Analysis             USD 157000        157000
## 1168                  Data Analysis             USD 125000        125000
## 1169      Data Science and Research             USD 208000        208000
## 1170      Data Science and Research             USD 134000        134000
## 1171               Data Engineering             USD 140000        140000
## 1172               Data Engineering             USD  65000         65000
## 1173      Data Science and Research             USD 258700        258700
## 1174      Data Science and Research             USD 160000        160000
## 1175      Data Science and Research             USD 258700        258700
## 1176      Data Science and Research             USD 188200        188200
## 1177               Data Engineering             GBP  40000         49216
## 1178               Data Engineering             GBP  40000         49216
## 1179               Data Engineering             USD 110000        110000
## 1180               Data Engineering             USD  73400         73400
## 1181               Data Engineering             USD 183414        183414
## 1182               Data Engineering             USD 183414        183414
## 1183               Data Engineering             USD 130000        130000
## 1184               Data Engineering             USD  97200         97200
## 1185        Machine Learning and AI             USD 299000        299000
## 1186        Machine Learning and AI             USD 187000        187000
## 1187        Machine Learning and AI             USD 204500        204500
## 1188        Machine Learning and AI             USD  66000         66000
## 1189        Machine Learning and AI             USD 190000        190000
## 1190        Machine Learning and AI             USD 140000        140000
## 1191               Data Engineering             USD 170200        170200
## 1192               Data Engineering             USD  83900         83900
## 1193               Data Engineering             USD 130000        130000
## 1194               Data Engineering             USD 101570        101570
## 1195                  Data Analysis             USD 177000        177000
## 1196                  Data Analysis             USD 118000        118000
## 1197        Machine Learning and AI             USD 234500        234500
## 1198        Machine Learning and AI             USD 127000        127000
## 1199        Machine Learning and AI             AUD 170000        114979
## 1200      Data Science and Research             USD 287500        287500
## 1201      Data Science and Research             USD 168000        168000
## 1202               Data Engineering             USD 155000        155000
## 1203               Data Engineering             USD 140000        140000
## 1204      Leadership and Management             USD 230000        230000
## 1205      Leadership and Management             USD 180000        180000
## 1206      Data Science and Research             USD 153000        153000
## 1207      Data Science and Research             USD 136000        136000
## 1208                  Data Analysis             USD  93918         93918
## 1209                  Data Analysis             USD  51962         51962
## 1210        Machine Learning and AI             USD 254000        254000
## 1211        Machine Learning and AI             USD 200000        200000
## 1212               Data Engineering             USD 214500        214500
## 1213               Data Engineering             USD 134500        134500
## 1214      Data Science and Research             USD 136000        136000
## 1215      Data Science and Research             USD 104000        104000
## 1216                  Data Analysis             USD 110000        110000
## 1217                  Data Analysis             USD  90000         90000
## 1218               Data Engineering             USD 145000        145000
## 1219               Data Engineering             USD 115000        115000
## 1220      Data Science and Research             USD 143000        143000
## 1221      Data Science and Research             USD 117000        117000
## 1222      Data Science and Research             USD 216000        216000
## 1223      Data Science and Research             USD 184000        184000
## 1224        Machine Learning and AI             USD 324000        324000
## 1225        Machine Learning and AI             USD 159000        159000
## 1226      Data Science and Research             USD 130000        130000
## 1227      Data Science and Research             USD 110000        110000
## 1228      Data Science and Research             GBP  60000         73824
## 1229      Data Science and Research             GBP  45000         55368
## 1230      Data Science and Research             USD 370000        370000
## 1231      Data Science and Research             USD 200000        200000
## 1232      Data Science and Research             USD 275300        275300
## 1233      Data Science and Research             USD 183500        183500
## 1234      Data Science and Research             USD 230000        230000
## 1235      Data Science and Research             USD 196000        196000
## 1236        Machine Learning and AI             USD 253000        253000
## 1237        Machine Learning and AI             USD 172040        172040
## 1238               Data Engineering             USD 234000        234000
## 1239               Data Engineering             USD 178000        178000
## 1240      Data Science and Research             USD 164000        164000
## 1241      Data Science and Research             USD 130000        130000
## 1242           BI and Visualization             USD 109238        109238
## 1243           BI and Visualization             USD  68274         68274
## 1244               Data Engineering             EUR  53000         57223
## 1245               Data Engineering             EUR  48000         51824
## 1246                  Data Analysis             USD  80800         80800
## 1247                  Data Analysis             USD  53800         53800
## 1248               Data Engineering             USD 258900        258900
## 1249               Data Engineering             USD 176080        176080
## 1250               Data Engineering             GBP  57500         70748
## 1251               Data Engineering             GBP  54500         67056
## 1252           BI and Visualization             USD 120000        120000
## 1253           BI and Visualization             USD 110000        110000
## 1254        Machine Learning and AI             USD 309000        309000
## 1255        Machine Learning and AI             USD 142000        142000
## 1256      Data Science and Research             USD 201650        201650
## 1257      Data Science and Research             USD 124600        124600
## 1258    Data Quality and Operations             USD  65000         65000
## 1259    Data Quality and Operations             USD  60000         60000
## 1260               Data Engineering             USD 132100        132100
## 1261               Data Engineering             USD  68400         68400
## 1262                  Data Analysis             USD 145000        145000
## 1263                  Data Analysis             USD 110000        110000
## 1264           BI and Visualization             USD 160000        160000
## 1265           BI and Visualization             USD 140000        140000
## 1266                  Data Analysis             USD  87500         87500
## 1267                  Data Analysis             USD  62500         62500
## 1268                  Data Analysis             USD 142000        142000
## 1269                  Data Analysis             USD 128000        128000
## 1270               Data Engineering             USD 160000        160000
## 1271               Data Engineering             USD 130000        130000
## 1272      Data Science and Research             USD 155000        155000
## 1273      Data Science and Research             USD 139500        139500
## 1274           BI and Visualization             USD 202800        202800
## 1275           BI and Visualization             USD 104300        104300
## 1276        Machine Learning and AI             USD 221000        221000
## 1277        Machine Learning and AI             USD 129000        129000
## 1278               Data Engineering             USD 259000        259000
## 1279               Data Engineering             USD 138750        138750
## 1280      Data Science and Research             USD 120000        120000
## 1281      Data Science and Research             USD 100000        100000
## 1282      Data Science and Research             USD 155000        155000
## 1283      Data Science and Research             USD 130000        130000
## 1284               Data Engineering             USD 247300        247300
## 1285               Data Engineering             USD 139700        139700
## 1286      Data Science and Research             USD 215000        215000
## 1287      Data Science and Research             USD 182750        182750
## 1288      Data Science and Research             USD 248100        248100
## 1289      Data Science and Research             USD 145900        145900
## 1290      Data Science and Research             USD 207000        207000
## 1291      Data Science and Research             USD 141000        141000
## 1292      Data Science and Research             USD  90000         90000
## 1293      Data Science and Research             USD  55000         55000
## 1294               Data Engineering             USD 247300        247300
## 1295               Data Engineering             USD 139700        139700
## 1296        Machine Learning and AI             USD  36000         36000
## 1297      Data Science and Research             USD 300000        300000
## 1298      Data Science and Research             USD 100000        100000
## 1299      Data Science and Research             USD 300000        300000
## 1300      Data Science and Research             USD 100000        100000
## 1301                  Data Analysis             USD 116700        116700
## 1302                  Data Analysis             USD  93400         93400
## 1303                  Data Analysis             USD  80000         80000
## 1304                  Data Analysis             USD  50000         50000
## 1305      Data Science and Research             USD 179000        179000
## 1306      Data Science and Research             USD 176490        176490
## 1307      Data Science and Research             USD 195000        195000
## 1308      Data Science and Research             USD 143750        143750
## 1309      Data Science and Research             USD 180000        180000
## 1310      Data Science and Research             USD 162000        162000
## 1311      Data Science and Research             USD 199000        199000
## 1312      Data Science and Research             USD 196760        196760
## 1313        Machine Learning and AI             USD  90000         90000
## 1314        Machine Learning and AI             USD  70000         70000
## 1315        Machine Learning and AI             USD 324000        324000
## 1316        Machine Learning and AI             USD 159000        159000
## 1317               Data Engineering             USD 222000        222000
## 1318               Data Engineering             USD 159000        159000
## 1319                  Data Analysis             USD 175000        175000
## 1320                  Data Analysis             USD 150000        150000
## 1321        Machine Learning and AI             USD  50000         50000
## 1322        Machine Learning and AI             EUR  65000         70179
## 1323           BI and Visualization             USD 110000        110000
## 1324           BI and Visualization             USD  75000         75000
## 1325                  Data Analysis             EUR  43000         46426
## 1326                  Data Analysis             EUR  36000         38868
## 1327        Machine Learning and AI             USD 220000        220000
## 1328        Machine Learning and AI             USD  80000         80000
## 1329               Data Engineering             USD 167500        167500
## 1330               Data Engineering             USD 106500        106500
## 1331      Data Science and Research             USD 150000        150000
## 1332      Data Science and Research             USD 130000        130000
## 1333               Data Engineering             USD 150000        150000
## 1334               Data Engineering             USD 130000        130000
## 1335                  Data Analysis             USD 126500        126500
## 1336                  Data Analysis             USD  78000         78000
## 1337      Data Science and Research             USD 185900        185900
## 1338      Data Science and Research             USD 129300        129300
## 1339      Leadership and Management             USD 250000        250000
## 1340      Leadership and Management             USD 222000        222000
## 1341      Leadership and Management             USD 145000        145000
## 1342      Leadership and Management             USD 120000        120000
## 1343                  Data Analysis             USD 150000        150000
## 1344                  Data Analysis             USD 120000        120000
## 1345      Data Science and Research             USD 204500        204500
## 1346      Data Science and Research             USD 142200        142200
## 1347      Data Science and Research             USD 297000        297000
## 1348      Data Science and Research             USD 138000        138000
## 1349                  Data Analysis             USD 147600        147600
## 1350                  Data Analysis             USD 106300        106300
## 1351               Data Engineering             USD 247300        247300
## 1352               Data Engineering             USD 139700        139700
## 1353                  Data Analysis             GBP  83376        102586
## 1354                  Data Analysis             GBP  65004         79981
## 1355      Data Science and Research             USD 131250        131250
## 1356      Data Science and Research             USD 128100        128100
## 1357      Data Science and Research             USD 116000        116000
## 1358      Data Science and Research             USD  90000         90000
## 1359               Data Engineering             USD 174500        174500
## 1360               Data Engineering             USD 113000        113000
## 1361                  Data Analysis             USD  56500         56500
## 1362        Machine Learning and AI             EUR  36000         38868
## 1363      Data Science and Research             USD 227000        227000
## 1364      Data Science and Research             USD 185000        185000
## 1365        Machine Learning and AI             USD 230000        230000
## 1366        Machine Learning and AI             USD 160000        160000
## 1367               Data Engineering             USD 185000        185000
## 1368               Data Engineering             USD 150000        150000
## 1369               Data Engineering             USD 138300        138300
## 1370               Data Engineering             USD 110700        110700
## 1371           BI and Visualization             USD 185000        185000
## 1372           BI and Visualization             USD  79600         79600
## 1373      Data Science and Research             USD 208500        208500
## 1374      Data Science and Research             USD 165000        165000
## 1375                  Data Analysis             USD 100000        100000
## 1376                  Data Analysis             USD  75000         75000
## 1377 Data Architecture and Modeling             USD 185000        185000
## 1378 Data Architecture and Modeling             USD 150000        150000
## 1379      Data Science and Research             EUR  45000         48585
## 1380      Data Science and Research             EUR  36000         38868
## 1381      Data Science and Research             USD 137500        137500
## 1382      Data Science and Research             USD  81500         81500
## 1383           BI and Visualization             USD 130000        130000
## 1384           BI and Visualization             USD  80000         80000
## 1385      Data Science and Research             USD 230000        230000
## 1386      Data Science and Research             USD 196000        196000
## 1387           BI and Visualization             USD 202800        202800
## 1388           BI and Visualization             USD 104300        104300
## 1389      Data Science and Research             USD 216000        216000
## 1390      Data Science and Research             USD 184000        184000
## 1391               Data Engineering             USD 212175        212175
## 1392               Data Engineering             USD 156000        156000
## 1393               Data Engineering             USD 184000        184000
## 1394               Data Engineering             USD 123000        123000
## 1395                  Data Analysis             USD 111151        111151
## 1396                  Data Analysis             USD  66691         66691
## 1397      Data Science and Research             USD 190000        190000
## 1398      Data Science and Research             USD 138700        138700
## 1399                  Data Analysis             USD  95040         95040
## 1400                  Data Analysis             USD  59400         59400
## 1401        Machine Learning and AI             USD 197802        197802
## 1402        Machine Learning and AI             USD 156453        156453
## 1403      Data Science and Research             USD 308000        308000
## 1404      Data Science and Research             USD 144000        144000
## 1405    Data Quality and Operations             USD 172000        172000
## 1406    Data Quality and Operations             USD 140000        140000
## 1407               Data Engineering             GBP  73000         89819
## 1408               Data Engineering             GBP  59000         72593
## 1409 Data Architecture and Modeling             USD 185000        185000
## 1410 Data Architecture and Modeling             USD 150000        150000
## 1411               Data Engineering             USD 154000        154000
## 1412               Data Engineering             USD 103000        103000
## 1413               Data Engineering             USD 180000        180000
## 1414               Data Engineering             USD 122400        122400
## 1415      Data Science and Research             USD  80000         80000
## 1416      Data Science and Research             USD  70000         70000
## 1417                  Data Analysis             USD 120000        120000
## 1418                  Data Analysis             USD  90000         90000
## 1419               Data Engineering             USD 227500        227500
## 1420               Data Engineering             USD 147500        147500
## 1421        Machine Learning and AI             USD 150000        150000
## 1422        Machine Learning and AI             USD  50000         50000
## 1423               Data Engineering             GBP  60000         73824
## 1424               Data Engineering             GBP  45000         55368
## 1425      Data Science and Research             USD 220000        220000
## 1426      Data Science and Research             USD 180000        180000
## 1427        Machine Learning and AI             USD 331640        331640
## 1428        Machine Learning and AI             USD 267720        267720
## 1429               Data Engineering             USD 190000        190000
## 1430               Data Engineering             USD 130000        130000
## 1431               Data Engineering             USD 160000        160000
## 1432               Data Engineering             USD 130000        130000
## 1433               Data Engineering             USD 150000        150000
## 1434               Data Engineering             USD  50000         50000
## 1435      Leadership and Management             USD 172200        172200
## 1436      Leadership and Management             USD 131200        131200
## 1437   Data Management and Strategy             USD 250000        250000
## 1438   Data Management and Strategy             USD 100000        100000
## 1439               Data Engineering             USD 178000        178000
## 1440               Data Engineering             USD 165000        165000
## 1441           BI and Visualization             USD 202800        202800
## 1442           BI and Visualization             USD 104300        104300
## 1443                  Data Analysis             USD 155000        155000
## 1444                  Data Analysis             USD 120000        120000
## 1445                  Data Analysis             USD 280000        280000
## 1446                  Data Analysis             USD 200000        200000
## 1447               Data Engineering             USD 184000        184000
## 1448               Data Engineering             USD 123000        123000
## 1449           BI and Visualization             USD 202800        202800
## 1450           BI and Visualization             USD 104300        104300
## 1451      Leadership and Management             GBP  60000         73824
## 1452      Leadership and Management             GBP  55000         67672
## 1453      Data Science and Research             USD 290000        290000
## 1454      Data Science and Research             USD 173200        173200
## 1455      Data Science and Research             USD 235000        235000
## 1456      Data Science and Research             USD 204000        204000
## 1457        Machine Learning and AI             USD 300000        300000
## 1458        Machine Learning and AI             USD 222000        222000
## 1459      Leadership and Management             USD 160000        160000
## 1460      Leadership and Management             USD 136000        136000
## 1461 Data Architecture and Modeling             USD 206000        206000
## 1462 Data Architecture and Modeling             USD 134000        134000
## 1463      Data Science and Research             USD 155000        155000
## 1464      Data Science and Research             USD 105000        105000
## 1465        Machine Learning and AI             USD 287500        287500
## 1466        Machine Learning and AI             USD 212500        212500
## 1467        Machine Learning and AI             USD 190027        190027
## 1468        Machine Learning and AI             USD 152022        152022
## 1469      Data Science and Research             EUR  18000         19434
## 1470               Data Engineering             USD 130000        130000
## 1471               Data Engineering             USD 100000        100000
## 1472               Data Engineering             USD 250000        250000
## 1473               Data Engineering             USD 125000        125000
## 1474               Data Engineering             USD 131000        131000
## 1475               Data Engineering             USD  88000         88000
## 1476                  Data Analysis             USD  80000         80000
## 1477                  Data Analysis             USD  50000         50000
## 1478        Machine Learning and AI             USD 198000        198000
## 1479        Machine Learning and AI             USD 132000        132000
## 1480           BI and Visualization             USD 125000        125000
## 1481           BI and Visualization             USD 115000        115000
## 1482               Data Engineering             USD 184000        184000
## 1483               Data Engineering             USD 123000        123000
## 1484      Leadership and Management             USD 145000        145000
## 1485      Leadership and Management             USD 130000        130000
## 1486        Machine Learning and AI             USD 170700        170700
## 1487        Machine Learning and AI             USD 113900        113900
## 1488               Data Engineering             USD 184000        184000
## 1489               Data Engineering             USD 123000        123000
## 1490        Machine Learning and AI             USD 280000        280000
## 1491        Machine Learning and AI             USD 200000        200000
## 1492               Data Engineering             USD 185000        185000
## 1493               Data Engineering             USD  81000         81000
## 1494        Machine Learning and AI             USD 220000        220000
## 1495        Machine Learning and AI             USD  80000         80000
## 1496      Data Science and Research             USD 185000        185000
## 1497      Data Science and Research             USD 123000        123000
## 1498      Leadership and Management             USD  80000         80000
## 1499      Leadership and Management             USD  75000         75000
## 1500      Data Science and Research             USD 150000        150000
## 1501      Data Science and Research             USD 130000        130000
## 1502                  Data Analysis             USD  53000         53000
## 1503                  Data Analysis             USD  48000         48000
## 1504      Leadership and Management             GBP 300000        369120
## 1505      Leadership and Management             GBP  60000         73824
## 1506      Data Science and Research             USD 150000        150000
## 1507      Data Science and Research             USD 125000        125000
## 1508      Data Science and Research             USD 150000        150000
## 1509      Data Science and Research             USD 130000        130000
## 1510               Data Engineering             GBP  57500         70748
## 1511               Data Engineering             GBP  54500         67056
## 1512               Data Engineering             USD 190000        190000
## 1513               Data Engineering             USD 170000        170000
## 1514                  Data Analysis             USD 125000        125000
## 1515                  Data Analysis             USD 115000        115000
## 1516               Data Engineering             USD 130000        130000
## 1517               Data Engineering             USD 101570        101570
## 1518               Data Engineering             USD 150000        150000
## 1519               Data Engineering             USD 115000        115000
## 1520               Data Engineering             USD 184000        184000
## 1521               Data Engineering             USD 123000        123000
## 1522        Machine Learning and AI             USD 194000        194000
## 1523        Machine Learning and AI             USD 175000        175000
## 1524                  Data Analysis             USD 185000        185000
## 1525                  Data Analysis             USD 160000        160000
## 1526               Data Engineering             USD 185000        185000
## 1527               Data Engineering             USD  50000         50000
## 1528      Leadership and Management             USD  80000         80000
## 1529      Leadership and Management             USD  70000         70000
## 1530        Machine Learning and AI             USD 254000        254000
## 1531        Machine Learning and AI             USD 200000        200000
## 1532               Data Engineering             USD 130916        130916
## 1533               Data Engineering             USD 120000        120000
## 1534      Data Science and Research             USD 160000        160000
## 1535      Data Science and Research             USD 130000        130000
## 1536      Data Science and Research             USD 218213        218213
## 1537      Data Science and Research             USD 178538        178538
## 1538      Data Science and Research             USD 222200        222200
## 1539      Data Science and Research             USD 136000        136000
## 1540      Data Science and Research             USD 316000        316000
## 1541      Data Science and Research             USD 202000        202000
## 1542      Data Science and Research             USD 222200        222200
## 1543      Data Science and Research             USD 136000        136000
## 1544      Data Science and Research             USD 189750        189750
## 1545      Data Science and Research             USD 119213        119213
## 1546      Leadership and Management             USD 162000        162000
## 1547      Leadership and Management             USD 130000        130000
## 1548           BI and Visualization             USD 170200        170200
## 1549           BI and Visualization             USD  83900         83900
## 1550           BI and Visualization             USD 202800        202800
## 1551           BI and Visualization             USD 104300        104300
## 1552        Machine Learning and AI             USD 250944        250944
## 1553        Machine Learning and AI             USD 205318        205318
## 1554               Data Engineering             USD 155000        155000
## 1555               Data Engineering             USD 125000        125000
## 1556      Data Science and Research             USD 135000        135000
## 1557      Data Science and Research             USD 114000        114000
## 1558      Data Science and Research             USD 218213        218213
## 1559      Data Science and Research             USD 178538        178538
## 1560      Data Science and Research             USD 240000        240000
## 1561      Data Science and Research             USD 163200        163200
## 1562        Machine Learning and AI             USD 258800        258800
## 1563        Machine Learning and AI             USD 199200        199200
## 1564      Data Science and Research             USD 215625        215625
## 1565      Data Science and Research             USD 159375        159375
## 1566        Machine Learning and AI             USD 155000        155000
## 1567        Machine Learning and AI             USD 125000        125000
## 1568               Data Engineering             USD 170000        170000
## 1569               Data Engineering             USD 100000        100000
## 1570        Machine Learning and AI             USD 234000        234000
## 1571        Machine Learning and AI             USD 208000        208000
## 1572      Data Science and Research             USD 203000        203000
## 1573      Data Science and Research             USD 133000        133000
## 1574      Data Science and Research             USD 272400        272400
## 1575      Data Science and Research             USD 140100        140100
## 1576               Data Engineering             USD 282000        282000
## 1577               Data Engineering             USD 208000        208000
## 1578                  Data Analysis             USD  93919         93919
## 1579                  Data Analysis             USD  51962         51962
## 1580      Data Science and Research             USD 211000        211000
## 1581      Data Science and Research             USD 185000        185000
## 1582           BI and Visualization             USD 118800        118800
## 1583           BI and Visualization             USD  75000         75000
## 1584        Machine Learning and AI             USD 159350        159350
## 1585        Machine Learning and AI             USD 130100        130100
## 1586      Data Science and Research             USD 262000        262000
## 1587      Data Science and Research             USD 245000        245000
## 1588      Data Science and Research             USD 190000        190000
## 1589      Data Science and Research             USD 150000        150000
## 1590      Leadership and Management             USD 205218        205218
## 1591      Leadership and Management             USD 136743        136743
## 1592      Data Science and Research             USD 185000        185000
## 1593      Data Science and Research             USD  94600         94600
## 1594      Data Science and Research             USD 160000        160000
## 1595      Data Science and Research             USD 107000        107000
## 1596        Machine Learning and AI             USD 264400        264400
## 1597        Machine Learning and AI             USD 176300        176300
## 1598      Data Science and Research             USD 160000        160000
## 1599      Data Science and Research             USD 107000        107000
## 1600      Data Science and Research             USD 275000        275000
## 1601      Data Science and Research             USD 175000        175000
## 1602        Machine Learning and AI             USD  76000         76000
## 1603                  Data Analysis             EUR  50000         53984
## 1604                  Data Analysis             EUR  40000         43187
## 1605                  Data Analysis             USD  80800         80800
## 1606                  Data Analysis             USD  53800         53800
## 1607           BI and Visualization             USD 150000        150000
## 1608           BI and Visualization             USD 125000        125000
## 1609      Data Science and Research             USD 210000        210000
## 1610      Data Science and Research             USD 180000        180000
## 1611               Data Engineering             USD 210000        210000
## 1612               Data Engineering             USD 155000        155000
## 1613      Data Science and Research             USD 169500        169500
## 1614      Data Science and Research             USD 138000        138000
## 1615               Data Engineering             USD 226700        226700
## 1616               Data Engineering             USD 133300        133300
## 1617      Data Science and Research             USD 278700        278700
## 1618      Data Science and Research             USD 159300        159300
## 1619        Machine Learning and AI             USD 180000        180000
## 1620        Machine Learning and AI             USD 120000        120000
## 1621           BI and Visualization             USD 125000        125000
## 1622           BI and Visualization             USD 115000        115000
## 1623      Data Science and Research             USD 297300        297300
## 1624      Data Science and Research             USD 198200        198200
## 1625      Data Science and Research             USD 204500        204500
## 1626      Data Science and Research             USD 138900        138900
## 1627      Leadership and Management             USD 110400        110400
## 1628      Leadership and Management             USD  68000         68000
## 1629      Data Science and Research             USD 260600        260600
## 1630      Data Science and Research             USD 170500        170500
## 1631   Data Management and Strategy             USD  63750         63750
## 1632   Data Management and Strategy             USD  46400         46400
## 1633      Data Science and Research             USD 214872        214872
## 1634      Data Science and Research             USD 186846        186846
## 1635                  Data Analysis             USD  95000         95000
## 1636                  Data Analysis             USD  70600         70600
## 1637                  Data Analysis             USD 149500        149500
## 1638                  Data Analysis             USD 127075        127075
## 1639               Data Engineering             USD 162000        162000
## 1640               Data Engineering             USD 111000        111000
## 1641        Machine Learning and AI             USD 280000        280000
## 1642        Machine Learning and AI             USD 182750        182750
## 1643      Data Science and Research             USD 212800        212800
## 1644      Data Science and Research             USD 124100        124100
## 1645      Data Science and Research             USD 196000        196000
## 1646      Data Science and Research             USD 142600        142600
## 1647           BI and Visualization             USD 185000        185000
## 1648           BI and Visualization             USD  79600         79600
## 1649 Data Architecture and Modeling             USD 193000        193000
## 1650 Data Architecture and Modeling             USD 110000        110000
## 1651      Data Science and Research             USD 245000        245000
## 1652      Data Science and Research             USD 185000        185000
## 1653               Data Engineering             USD 154000        154000
## 1654               Data Engineering             USD 103000        103000
## 1655                  Data Analysis             USD  80000         80000
## 1656                  Data Analysis             USD  70000         70000
## 1657               Data Engineering             USD 250000        250000
## 1658               Data Engineering             USD 225000        225000
## 1659                  Data Analysis             USD  90000         90000
## 1660                  Data Analysis             USD  80000         80000
## 1661                  Data Analysis             GBP  50000         61520
## 1662                  Data Analysis             GBP  40000         49216
## 1663               Data Engineering             USD 205000        205000
## 1664               Data Engineering             USD 167500        167500
## 1665      Data Science and Research             USD 202600        202600
## 1666      Data Science and Research             USD 168800        168800
## 1667      Data Science and Research             USD 164000        164000
## 1668      Data Science and Research             USD 130000        130000
## 1669        Machine Learning and AI             USD 240000        240000
## 1670        Machine Learning and AI             USD 220000        220000
## 1671      Data Science and Research             USD 168000        168000
## 1672      Data Science and Research             USD 130000        130000
## 1673               Data Engineering             USD 185900        185900
## 1674               Data Engineering             USD 129300        129300
## 1675        Machine Learning and AI             USD 297300        297300
## 1676        Machine Learning and AI             USD 198200        198200
## 1677        Machine Learning and AI             USD 190000        190000
## 1678        Machine Learning and AI             USD 156000        156000
## 1679        Machine Learning and AI             USD 205000        205000
## 1680        Machine Learning and AI             USD 152000        152000
## 1681      Data Science and Research             USD 196500        196500
## 1682      Data Science and Research             USD  97300         97300
## 1683        Machine Learning and AI             USD 260000        260000
## 1684        Machine Learning and AI             USD 192000        192000
## 1685      Data Science and Research             USD 216000        216000
## 1686      Data Science and Research             USD 184000        184000
## 1687        Machine Learning and AI             USD 192000        192000
## 1688        Machine Learning and AI             USD 164000        164000
## 1689        Machine Learning and AI             USD 227700        227700
## 1690        Machine Learning and AI             USD 154836        154836
## 1691      Data Science and Research             USD 160000        160000
## 1692      Data Science and Research             USD 140000        140000
## 1693      Data Science and Research             USD 168000        168000
## 1694      Data Science and Research             USD 130000        130000
## 1695        Machine Learning and AI             USD 285000        285000
## 1696        Machine Learning and AI             USD 190000        190000
## 1697      Data Science and Research             USD 405000        405000
## 1698      Data Science and Research             USD 270000        270000
## 1699               Data Engineering             USD 214300        214300
## 1700               Data Engineering             USD 108500        108500
## 1701      Data Science and Research             USD 145000        145000
## 1702      Data Science and Research             USD 115000        115000
## 1703      Data Science and Research             USD 130000        130000
## 1704      Data Science and Research             USD 113000        113000
## 1705      Data Science and Research             USD 194500        194500
## 1706      Data Science and Research             USD 110250        110250
## 1707      Data Science and Research             USD 295000        295000
## 1708      Data Science and Research             USD 177300        177300
## 1709                  Data Analysis             GBP  45000         55368
## 1710                  Data Analysis             GBP  36000         44294
## 1711      Data Science and Research             USD 136000        136000
## 1712      Data Science and Research             USD 104000        104000
## 1713      Data Science and Research             USD 222200        222200
## 1714      Data Science and Research             USD 136000        136000
## 1715      Data Science and Research             USD 192000        192000
## 1716      Data Science and Research             USD 164000        164000
## 1717               Data Engineering             USD 220000        220000
## 1718               Data Engineering             USD 187000        187000
## 1719      Data Science and Research             USD 353200        353200
## 1720      Data Science and Research             USD 249300        249300
## 1721                  Data Analysis             USD  85000         85000
## 1722                  Data Analysis             USD  79000         79000
## 1723        Machine Learning and AI             USD 214500        214500
## 1724        Machine Learning and AI             USD 132600        132600
## 1725               Data Engineering             USD 131000        131000
## 1726               Data Engineering             USD 130000        130000
## 1727      Data Science and Research             USD 153600        153600
## 1728      Data Science and Research             USD 106800        106800
## 1729      Data Science and Research             USD 220000        220000
## 1730      Data Science and Research             USD 163000        163000
## 1731      Data Science and Research             USD 168000        168000
## 1732      Data Science and Research             USD 130000        130000
## 1733      Data Science and Research             USD 107400        107400
## 1734      Data Science and Research             USD 101500        101500
## 1735      Leadership and Management             USD  80000         80000
## 1736      Leadership and Management             USD  70000         70000
## 1737               Data Engineering             EUR  75000         80976
## 1738      Data Science and Research             USD 300000        300000
## 1739      Data Science and Research             USD 100000        100000
## 1740 Data Architecture and Modeling             USD 175000        175000
## 1741 Data Architecture and Modeling             USD 135000        135000
## 1742      Data Science and Research             USD 164000        164000
## 1743      Data Science and Research             USD 130000        130000
## 1744      Data Science and Research             USD 300000        300000
## 1745      Data Science and Research             USD 211000        211000
## 1746        Machine Learning and AI             USD 276000        276000
## 1747        Machine Learning and AI             USD 184000        184000
## 1748                  Data Analysis             USD 115000        115000
## 1749                  Data Analysis             USD 110000        110000
## 1750               Data Engineering             USD 139810        139810
## 1751               Data Engineering             USD  95325         95325
## 1752                  Data Analysis             USD 167000        167000
## 1753                  Data Analysis             USD 150000        150000
## 1754               Data Engineering             USD 144000        144000
## 1755               Data Engineering             USD  96000         96000
## 1756               Data Engineering             USD 140000        140000
## 1757               Data Engineering             USD 125000        125000
## 1758      Leadership and Management             USD 145000        145000
## 1759      Leadership and Management             USD 116000        116000
## 1760      Data Science and Research             USD 161000        161000
## 1761      Data Science and Research             USD 116300        116300
## 1762                  Data Analysis             USD 140000        140000
## 1763                  Data Analysis             USD 125000        125000
## 1764 Data Architecture and Modeling             USD 175564        175564
## 1765 Data Architecture and Modeling             USD 144854        144854
## 1766        Machine Learning and AI             USD 225000        225000
## 1767        Machine Learning and AI             USD 166000        166000
## 1768      Leadership and Management             USD 190000        190000
## 1769      Leadership and Management             USD 150000        150000
## 1770        Machine Learning and AI             USD 225000        225000
## 1771        Machine Learning and AI             USD 166000        166000
## 1772      Data Science and Research             USD 151300        151300
## 1773      Data Science and Research             USD 126100        126100
## 1774      Data Science and Research             USD 190000        190000
## 1775      Data Science and Research             USD 152000        152000
## 1776      Data Science and Research             USD 202600        202600
## 1777      Data Science and Research             USD 168800        168800
## 1778        Machine Learning and AI             USD 190000        190000
## 1779        Machine Learning and AI             USD 150000        150000
## 1780                  Data Analysis             USD 180000        180000
## 1781                  Data Analysis             USD 125000        125000
## 1782           BI and Visualization             USD 113000        113000
## 1783           BI and Visualization             USD  90400         90400
## 1784           BI and Visualization             USD 204300        204300
## 1785           BI and Visualization             USD 139000        139000
## 1786               Data Engineering             USD 282000        282000
## 1787               Data Engineering             USD 208000        208000
## 1788               Data Engineering             USD 185000        185000
## 1789               Data Engineering             USD 124000        124000
## 1790      Data Science and Research             USD 240000        240000
## 1791      Data Science and Research             USD 157000        157000
## 1792        Machine Learning and AI             USD 212800        212800
## 1793        Machine Learning and AI             USD 111600        111600
## 1794 Data Architecture and Modeling             USD 183000        183000
## 1795 Data Architecture and Modeling             USD 147000        147000
## 1796               Data Engineering             USD 169000        169000
## 1797               Data Engineering             USD  91000         91000
## 1798 Data Architecture and Modeling             USD 210000        210000
## 1799 Data Architecture and Modeling             USD 160000        160000
## 1800                  Data Analysis             USD  70900         70900
## 1801                  Data Analysis             USD  49000         49000
## 1802 Data Architecture and Modeling             USD 193000        193000
## 1803 Data Architecture and Modeling             USD 128000        128000
## 1804      Data Science and Research             USD 168000        168000
## 1805      Data Science and Research             USD 130000        130000
## 1806               Data Engineering             USD 154000        154000
## 1807               Data Engineering             USD 103000        103000
## 1808                  Data Analysis             USD  93918         93918
## 1809                  Data Analysis             USD  51962         51962
## 1810      Data Science and Research             USD 180000        180000
## 1811      Data Science and Research             USD 160000        160000
## 1812      Data Science and Research             USD 140000        140000
## 1813      Data Science and Research             USD 140000        140000
## 1814               Data Engineering             USD 275000        275000
## 1815               Data Engineering             USD 243000        243000
## 1816      Data Science and Research             USD 215000        215000
## 1817      Data Science and Research             USD 160000        160000
## 1818               Data Engineering             USD 174500        174500
## 1819               Data Engineering             USD 113000        113000
## 1820                  Data Analysis             USD 125000        125000
## 1821                  Data Analysis             USD  80000         80000
## 1822               Data Engineering             USD 145000        145000
## 1823               Data Engineering             USD 115000        115000
## 1824        Machine Learning and AI             USD 260000        260000
## 1825        Machine Learning and AI             USD 160000        160000
## 1826      Data Science and Research             USD 202000        202000
## 1827      Data Science and Research             USD 140000        140000
## 1828      Data Science and Research             CAD 130000         96313
## 1829        Machine Learning and AI             USD 250000        250000
## 1830        Machine Learning and AI             USD 140000        140000
## 1831                  Data Analysis             EUR  45000         48585
## 1832                  Data Analysis             EUR  40000         43187
## 1833      Data Science and Research             USD 204000        204000
## 1834      Data Science and Research             USD 127500        127500
## 1835                  Data Analysis             USD 145500        145500
## 1836                  Data Analysis             USD 108000        108000
## 1837               Data Engineering             USD 206000        206000
## 1838               Data Engineering             USD 175100        175100
## 1839                  Data Analysis             USD 122500        122500
## 1840                  Data Analysis             USD  82500         82500
## 1841      Leadership and Management             USD 110400        110400
## 1842      Leadership and Management             USD  68000         68000
## 1843      Data Science and Research             USD 190000        190000
## 1844      Data Science and Research             USD 160000        160000
## 1845                  Data Analysis             USD  95000         95000
## 1846                  Data Analysis             USD  75000         75000
## 1847      Data Science and Research             USD 136000        136000
## 1848      Data Science and Research             USD 104000        104000
## 1849                  Data Analysis             USD 130000        130000
## 1850                  Data Analysis             USD 105000        105000
## 1851               Data Engineering             USD 154000        154000
## 1852               Data Engineering             USD 103000        103000
## 1853      Data Science and Research             USD 217000        217000
## 1854      Data Science and Research             USD 192000        192000
## 1855               Data Engineering             USD 170000        170000
## 1856               Data Engineering             USD 100000        100000
## 1857   Data Management and Strategy             USD  90000         90000
## 1858   Data Management and Strategy             USD  60000         60000
## 1859        Machine Learning and AI             USD 350000        350000
## 1860        Machine Learning and AI             USD 168000        168000
## 1861      Data Science and Research             USD 234900        234900
## 1862      Data Science and Research             USD 113500        113500
## 1863               Data Engineering             USD 385000        385000
## 1864               Data Engineering             USD 245000        245000
## 1865               Data Engineering             USD 255000        255000
## 1866               Data Engineering             USD 255000        255000
## 1867           BI and Visualization             USD 170200        170200
## 1868           BI and Visualization             USD  83900         83900
## 1869      Data Science and Research             USD 170200        170200
## 1870      Data Science and Research             USD  83900         83900
## 1871               Data Engineering             USD 202500        202500
## 1872               Data Engineering             USD 177500        177500
## 1873      Data Science and Research             USD 308000        308000
## 1874      Data Science and Research             USD 144000        144000
## 1875               Data Engineering             USD 130000        130000
## 1876               Data Engineering             USD 101570        101570
## 1877               Data Engineering             USD 300000        300000
## 1878               Data Engineering             USD 150000        150000
## 1879      Data Science and Research             USD 222200        222200
## 1880      Data Science and Research             USD 136000        136000
## 1881      Leadership and Management             USD 145000        145000
## 1882      Leadership and Management             USD 130000        130000
## 1883 Data Architecture and Modeling             USD 155000        155000
## 1884 Data Architecture and Modeling             USD 130000        130000
## 1885      Data Science and Research             USD 240000        240000
## 1886      Data Science and Research             USD 180000        180000
## 1887        Machine Learning and AI             USD 170200        170200
## 1888        Machine Learning and AI             USD  83900         83900
## 1889      Data Science and Research             USD 210000        210000
## 1890      Data Science and Research             USD 165000        165000
## 1891      Data Science and Research             USD 300000        300000
## 1892      Data Science and Research             USD 150000        150000
## 1893        Machine Learning and AI             USD 300000        300000
## 1894        Machine Learning and AI             USD 150000        150000
## 1895      Data Science and Research             USD 212800        212800
## 1896      Data Science and Research             USD 111600        111600
## 1897               Data Engineering             USD 213600        213600
## 1898               Data Engineering             USD 103200        103200
## 1899      Data Science and Research             USD 230000        230000
## 1900      Data Science and Research             USD 153000        153000
## 1901      Data Science and Research             USD 308000        308000
## 1902      Data Science and Research             USD 190400        190400
## 1903      Data Science and Research             USD 204000        204000
## 1904      Data Science and Research             USD 127500        127500
## 1905      Data Science and Research             USD 250000        250000
## 1906      Data Science and Research             USD 125000        125000
## 1907      Data Science and Research             USD 385000        385000
## 1908      Data Science and Research             USD 310000        310000
## 1909                  Data Analysis             USD 120000        120000
## 1910                  Data Analysis             USD  88000         88000
## 1911        Machine Learning and AI             USD 158000        158000
## 1912        Machine Learning and AI             USD 108000        108000
## 1913               Data Engineering             USD 385000        385000
## 1914               Data Engineering             USD 310000        310000
## 1915               Data Engineering             USD 247300        247300
## 1916               Data Engineering             USD 139700        139700
## 1917      Data Science and Research             USD 240000        240000
## 1918      Data Science and Research             USD 180000        180000
## 1919               Data Engineering             USD 130000        130000
## 1920               Data Engineering             USD 101570        101570
## 1921      Data Science and Research             USD 210000        210000
## 1922      Data Science and Research             USD 165000        165000
## 1923        Machine Learning and AI             USD 170200        170200
## 1924        Machine Learning and AI             USD  83900         83900
## 1925      Data Science and Research             USD 222200        222200
## 1926      Data Science and Research             USD 136000        136000
## 1927               Data Engineering             USD 169000        169000
## 1928               Data Engineering             USD  91000         91000
## 1929      Data Science and Research             USD 135000        135000
## 1930      Data Science and Research             USD 110000        110000
## 1931               Data Engineering             GBP 105000        129192
## 1932               Data Engineering             GBP  80000         98432
## 1933        Machine Learning and AI             GBP 300000        369120
## 1934        Machine Learning and AI             GBP  33063         40680
## 1935      Data Science and Research             USD 150000        150000
## 1936      Data Science and Research             USD 130000        130000
## 1937               Data Engineering             USD 128000        128000
## 1938               Data Engineering             USD  81500         81500
## 1939 Data Architecture and Modeling             USD 306000        306000
## 1940 Data Architecture and Modeling             USD 204000        204000
## 1941      Data Science and Research             USD 185900        185900
## 1942      Data Science and Research             USD 129300        129300
## 1943        Machine Learning and AI             USD 204500        204500
## 1944        Machine Learning and AI             USD 142200        142200
## 1945        Machine Learning and AI             EUR  70000         75577
## 1946               Data Engineering             USD  18000         18000
## 1947                  Data Analysis             GBP 300000        369120
## 1948                  Data Analysis             GBP  50000         61520
## 1949      Leadership and Management             USD 270000        270000
## 1950      Leadership and Management             USD 200000        200000
## 1951      Data Science and Research             USD 204500        204500
## 1952      Data Science and Research             USD 142200        142200
## 1953                  Data Analysis             GBP  75000         92280
## 1954                  Data Analysis             GBP  55000         67672
## 1955               Data Engineering             USD 188600        188600
## 1956               Data Engineering             USD 111550        111550
## 1957        Machine Learning and AI             USD 230000        230000
## 1958        Machine Learning and AI             USD 160000        160000
## 1959               Data Engineering             USD 247300        247300
## 1960               Data Engineering             USD 139700        139700
## 1961        Machine Learning and AI             USD 360000        360000
## 1962        Machine Learning and AI             USD 240000        240000
## 1963               Data Engineering             USD 129100        129100
## 1964               Data Engineering             USD 111400        111400
## 1965                  Data Analysis             USD 135000        135000
## 1966                  Data Analysis             USD 110000        110000
## 1967        Machine Learning and AI             USD 214500        214500
## 1968        Machine Learning and AI             USD 132600        132600
## 1969                  Data Analysis             USD 120000        120000
## 1970                  Data Analysis             USD 100000        100000
## 1971        Machine Learning and AI             USD 242921        242921
## 1972        Machine Learning and AI             USD 170045        170045
## 1973               Data Engineering             USD 225000        225000
## 1974               Data Engineering             USD 175000        175000
## 1975      Data Science and Research             USD 180000        180000
## 1976      Data Science and Research             USD 162000        162000
## 1977 Data Architecture and Modeling             USD 175000        175000
## 1978 Data Architecture and Modeling             USD  90000         90000
## 1979      Data Science and Research             USD 156450        156450
## 1980      Data Science and Research             USD 119200        119200
## 1981      Data Science and Research             USD 245000        245000
## 1982      Data Science and Research             USD 185000        185000
## 1983        Machine Learning and AI             USD 214500        214500
## 1984        Machine Learning and AI             USD 132600        132600
## 1985      Data Science and Research             USD 154800        154800
## 1986      Data Science and Research             USD  76300         76300
## 1987      Data Science and Research             USD 178600        178600
## 1988      Data Science and Research             USD  88600         88600
## 1989      Data Science and Research             USD 248100        248100
## 1990      Data Science and Research             USD 145900        145900
## 1991                  Data Analysis             USD  93919         93919
## 1992                  Data Analysis             USD  51962         51962
## 1993      Data Science and Research             USD 207345        207345
## 1994      Data Science and Research             USD 180300        180300
## 1995        Machine Learning and AI             USD 200000        200000
## 1996        Machine Learning and AI             USD 140000        140000
## 1997      Leadership and Management             USD 205000        205000
## 1998      Leadership and Management             USD 167500        167500
## 1999                  Data Analysis             USD 140000        140000
## 2000                  Data Analysis             USD 110000        110000
## 2001      Data Science and Research             USD 228045        228045
## 2002      Data Science and Research             USD 198300        198300
## 2003               Data Engineering             USD 150000        150000
## 2004               Data Engineering             USD 140000        140000
## 2005                  Data Analysis             USD 100000        100000
## 2006                  Data Analysis             USD  75000         75000
## 2007      Data Science and Research             EUR  45000         48585
## 2008      Data Science and Research             EUR  36000         38868
## 2009           BI and Visualization             USD 100000        100000
## 2010           BI and Visualization             USD  75000         75000
## 2011      Data Science and Research             EUR  72360         78125
## 2012      Data Science and Research             EUR  37440         40423
## 2013 Data Architecture and Modeling             USD 140000        140000
## 2014 Data Architecture and Modeling             USD 100000        100000
## 2015      Leadership and Management             USD 125000        125000
## 2016      Leadership and Management             USD 120000        120000
## 2017           BI and Visualization             USD 127000        127000
## 2018           BI and Visualization             USD  99000         99000
## 2019               Data Engineering             USD 130000        130000
## 2020               Data Engineering             USD 120000        120000
## 2021           BI and Visualization             USD 194500        194500
## 2022           BI and Visualization             USD 132320        132320
## 2023               Data Engineering             USD 135000        135000
## 2024               Data Engineering             USD  90000         90000
## 2025                  Data Analysis             USD 223602        223602
## 2026                  Data Analysis             USD 143520        143520
## 2027        Machine Learning and AI             USD 180000        180000
## 2028        Machine Learning and AI             USD 140000        140000
## 2029      Data Science and Research             USD 180000        180000
## 2030      Data Science and Research             USD 162000        162000
## 2031               Data Engineering             GBP  99000        121809
## 2032               Data Engineering             GBP  68000         83667
## 2033                  Data Analysis             USD 120350        120350
## 2034                  Data Analysis             USD  74400         74400
## 2035      Data Science and Research             USD 185000        185000
## 2036      Data Science and Research             USD 123000        123000
## 2037               Data Engineering             USD 140000        140000
## 2038               Data Engineering             USD  90000         90000
## 2039        Machine Learning and AI             USD 214500        214500
## 2040        Machine Learning and AI             USD 132600        132600
## 2041               Data Engineering             USD 154000        154000
## 2042               Data Engineering             USD 103000        103000
## 2043                  Data Analysis             USD  90000         90000
## 2044                  Data Analysis             USD  80000         80000
## 2045      Leadership and Management             USD 140000        140000
## 2046      Leadership and Management             USD 100000        100000
## 2047               Data Engineering             USD 170000        170000
## 2048               Data Engineering             USD 100000        100000
## 2049                  Data Analysis             USD 115000        115000
## 2050                  Data Analysis             USD 105000        105000
## 2051      Data Science and Research             USD 296100        296100
## 2052      Data Science and Research             USD 144500        144500
## 2053               Data Engineering             USD 220000        220000
## 2054               Data Engineering             USD 187000        187000
## 2055                  Data Analysis             USD 118600        118600
## 2056                  Data Analysis             USD  96800         96800
## 2057      Data Science and Research             USD 100000        100000
## 2058        Machine Learning and AI             EUR  45000         48585
## 2059                  Data Analysis             USD 142000        142000
## 2060                  Data Analysis             USD 128000        128000
## 2061               Data Engineering             USD  99500         99500
## 2062               Data Engineering             USD  53300         53300
## 2063               Data Engineering             USD 210000        210000
## 2064               Data Engineering             USD 165000        165000
## 2065      Data Science and Research             USD 172000        172000
## 2066      Data Science and Research             USD 125000        125000
## 2067               Data Engineering             USD 250000        250000
## 2068               Data Engineering             USD 190000        190000
## 2069      Data Science and Research             USD 245000        245000
## 2070      Data Science and Research             USD 245000        245000
## 2071 Data Architecture and Modeling             USD 234900        234900
## 2072 Data Architecture and Modeling             USD  68400         68400
## 2073      Data Science and Research             USD 155000        155000
## 2074      Data Science and Research             USD 139000        139000
## 2075                  Data Analysis             USD 142000        142000
## 2076                  Data Analysis             USD 128000        128000
## 2077      Data Science and Research             USD 172000        172000
## 2078      Data Science and Research             USD 125000        125000
## 2079               Data Engineering             USD 128000        128000
## 2080               Data Engineering             USD  81500         81500
## 2081               Data Engineering             USD 167500        167500
## 2082               Data Engineering             USD 106500        106500
## 2083               Data Engineering             USD 150000        150000
## 2084               Data Engineering             USD 100000        100000
## 2085                  Data Analysis             USD 139600        139600
## 2086                  Data Analysis             USD  85700         85700
## 2087               Data Engineering             USD 100000        100000
## 2088               Data Engineering             USD 143000        143000
## 2089               Data Engineering             USD  95000         95000
## 2090      Leadership and Management             USD 145000        145000
## 2091      Leadership and Management             USD 130000        130000
## 2092        Machine Learning and AI             USD 330000        330000
## 2093        Machine Learning and AI             USD 188000        188000
## 2094      Data Science and Research             USD 238000        238000
## 2095      Data Science and Research             USD 156000        156000
## 2096                  Data Analysis             USD 145000        145000
## 2097                  Data Analysis             USD 106000        106000
## 2098      Data Science and Research             GBP 140000        172256
## 2099      Data Science and Research             GBP 100000        123040
## 2100        Machine Learning and AI             USD 297300        297300
## 2101        Machine Learning and AI             USD 198200        198200
## 2102               Data Engineering             USD 269100        269100
## 2103               Data Engineering             USD 131300        131300
## 2104        Machine Learning and AI             USD 220000        220000
## 2105        Machine Learning and AI             USD 150000        150000
## 2106               Data Engineering             GBP  60000         73824
## 2107               Data Engineering             GBP  50000         61520
## 2108      Data Science and Research             USD 252990        252990
## 2109      Data Science and Research             USD 162170        162170
## 2110        Machine Learning and AI             USD 260000        260000
## 2111        Machine Learning and AI             USD 235000        235000
## 2112        Machine Learning and AI             USD 204500        204500
## 2113        Machine Learning and AI             USD 142200        142200
## 2114      Leadership and Management             USD 190000        190000
## 2115      Leadership and Management             USD 145000        145000
## 2116      Data Science and Research             USD 212800        212800
## 2117      Data Science and Research             USD 111600        111600
## 2118                  Data Analysis             USD 175000        175000
## 2119                  Data Analysis             USD 130000        130000
## 2120           BI and Visualization             USD 194521        194521
## 2121           BI and Visualization             USD 176838        176838
## 2122      Leadership and Management             USD 200000        200000
## 2123      Leadership and Management             USD 170000        170000
## 2124      Data Science and Research             USD 191765        191765
## 2125      Data Science and Research             USD 134236        134236
## 2126      Data Science and Research             USD 238000        238000
## 2127      Data Science and Research             USD 156000        156000
## 2128      Data Science and Research             USD 198800        198800
## 2129      Data Science and Research             USD  90700         90700
## 2130           BI and Visualization             USD 154800        154800
## 2131           BI and Visualization             USD  76300         76300
## 2132      Leadership and Management             USD 130000        130000
## 2133      Leadership and Management             USD 115000        115000
## 2134                  Data Analysis             USD 110000        110000
## 2135                  Data Analysis             USD  70000         70000
## 2136                  Data Analysis             EUR  39000         42107
## 2137        Machine Learning and AI             USD 300000        300000
## 2138        Machine Learning and AI             USD 200000        200000
## 2139 Data Architecture and Modeling             USD 155000        155000
## 2140 Data Architecture and Modeling             USD 135000        135000
## 2141      Leadership and Management             USD 115500        115500
## 2142      Leadership and Management             USD  73500         73500
## 2143      Data Science and Research             USD 179000        179000
## 2144      Data Science and Research             USD 109000        109000
## 2145      Data Science and Research             USD 180000        180000
## 2146      Data Science and Research             USD 140000        140000
## 2147        Machine Learning and AI             USD 221000        221000
## 2148        Machine Learning and AI             USD 180000        180000
## 2149      Data Science and Research             USD 222200        222200
## 2150      Data Science and Research             USD 136000        136000
## 2151        Machine Learning and AI             USD 275000        275000
## 2152        Machine Learning and AI             USD 170000        170000
## 2153      Data Science and Research             USD 233300        233300
## 2154      Data Science and Research             USD 155500        155500
## 2155      Data Science and Research             USD 222200        222200
## 2156      Data Science and Research             USD 136000        136000
## 2157 Data Architecture and Modeling             USD 193000        193000
## 2158 Data Architecture and Modeling             USD 110000        110000
## 2159      Data Science and Research             USD 306000        306000
## 2160      Data Science and Research             USD 180000        180000
## 2161      Data Science and Research             USD 212800        212800
## 2162      Data Science and Research             USD 115100        115100
## 2163        Machine Learning and AI             USD 238000        238000
## 2164        Machine Learning and AI             USD 176000        176000
## 2165                  Data Analysis             USD 117500        117500
## 2166                  Data Analysis             USD  86720         86720
## 2167                  Data Analysis             USD 167000        167000
## 2168                  Data Analysis             USD 150000        150000
## 2169                  Data Analysis             USD  90000         90000
## 2170                  Data Analysis             USD  70000         70000
## 2171      Data Science and Research             USD 212800        212800
## 2172      Data Science and Research             USD 111600        111600
## 2173 Data Architecture and Modeling             USD 306000        306000
## 2174 Data Architecture and Modeling             USD 204000        204000
## 2175           BI and Visualization             USD 135000        135000
## 2176           BI and Visualization             USD 110000        110000
## 2177      Data Science and Research             USD 165000        165000
## 2178      Data Science and Research             USD 116300        116300
## 2179        Machine Learning and AI             USD 200000        200000
## 2180        Machine Learning and AI             USD 175000        175000
## 2181           BI and Visualization             USD 185000        185000
## 2182           BI and Visualization             USD  79600         79600
## 2183        Machine Learning and AI             USD 180514        180514
## 2184        Machine Learning and AI             USD 108308        108308
## 2185        Machine Learning and AI             USD 200000        200000
## 2186        Machine Learning and AI             USD 150000        150000
## 2187        Machine Learning and AI             USD 208450        208450
## 2188        Machine Learning and AI             USD 151600        151600
## 2189      Data Science and Research             USD 324000        324000
## 2190      Data Science and Research             USD 159000        159000
## 2191      Data Science and Research             USD 155000        155000
## 2192      Data Science and Research             USD 135000        135000
## 2193               Data Engineering             USD 223250        223250
## 2194               Data Engineering             USD 156275        156275
## 2195               Data Engineering             USD 220000        220000
## 2196               Data Engineering             USD 160000        160000
## 2197      Data Science and Research             USD 168000        168000
## 2198      Data Science and Research             USD 130000        130000
## 2199      Leadership and Management             USD 245000        245000
## 2200      Leadership and Management             USD 185000        185000
## 2201      Data Science and Research             USD 164000        164000
## 2202      Data Science and Research             USD 130000        130000
## 2203                  Data Analysis             USD  67500         67500
## 2204                  Data Analysis             USD  46500         46500
## 2205        Machine Learning and AI             USD 270000        270000
## 2206        Machine Learning and AI             USD 232200        232200
## 2207               Data Engineering             EUR  40000         43187
## 2208                  Data Analysis             USD 105000        105000
## 2209                  Data Analysis             USD  78000         78000
## 2210      Leadership and Management             USD 115500        115500
## 2211      Leadership and Management             USD  73500         73500
## 2212        Machine Learning and AI             USD 370000        370000
## 2213        Machine Learning and AI             USD 220000        220000
## 2214               Data Engineering             USD 155000        155000
## 2215               Data Engineering             USD 130000        130000
## 2216        Machine Learning and AI             USD 178200        178200
## 2217        Machine Learning and AI             USD 115000        115000
## 2218                  Data Analysis             USD 250000        250000
## 2219                  Data Analysis             USD 125000        125000
## 2220      Data Science and Research             USD 204000        204000
## 2221      Data Science and Research             USD 150000        150000
## 2222                  Data Analysis             USD 110000        110000
## 2223                  Data Analysis             USD  95000         95000
## 2224               Data Engineering             USD 143000        143000
## 2225               Data Engineering             USD  95000         95000
## 2226               Data Engineering             USD 250000        250000
## 2227               Data Engineering             USD 125000        125000
## 2228        Machine Learning and AI             USD 280000        280000
## 2229        Machine Learning and AI             USD 240000        240000
## 2230      Leadership and Management             USD 110400        110400
## 2231      Leadership and Management             USD  68000         68000
## 2232      Data Science and Research             USD 216000        216000
## 2233      Data Science and Research             USD 184000        184000
## 2234        Machine Learning and AI             USD 192000        192000
## 2235        Machine Learning and AI             USD 164000        164000
## 2236      Data Science and Research             USD 220000        220000
## 2237      Data Science and Research             USD 160000        160000
## 2238      Data Science and Research             USD 225000        225000
## 2239      Data Science and Research             USD 156400        156400
## 2240      Data Science and Research             USD 297300        297300
## 2241      Data Science and Research             USD 198200        198200
## 2242      Data Science and Research             USD 192000        192000
## 2243      Data Science and Research             USD 164000        164000
## 2244                  Data Analysis             USD 168000        168000
## 2245                  Data Analysis             USD 112000        112000
## 2246        Machine Learning and AI             USD 204500        204500
## 2247        Machine Learning and AI             USD 142200        142200
## 2248      Data Science and Research             USD 253430        253430
## 2249      Data Science and Research             USD 212780        212780
## 2250      Data Science and Research             USD 190000        190000
## 2251      Data Science and Research             USD 152000        152000
## 2252        Machine Learning and AI             USD 265800        265800
## 2253        Machine Learning and AI             USD 165500        165500
## 2254               Data Engineering             USD 193000        193000
## 2255               Data Engineering             USD 134000        134000
## 2256        Machine Learning and AI             USD 180000        180000
## 2257        Machine Learning and AI             USD 150000        150000
## 2258      Leadership and Management             USD 120681        120681
## 2259      Leadership and Management             USD  72409         72409
## 2260        Machine Learning and AI             USD 180000        180000
## 2261        Machine Learning and AI             USD 139750        139750
## 2262      Data Science and Research             USD 222200        222200
## 2263      Data Science and Research             USD 136000        136000
## 2264               Data Engineering             USD 254000        254000
## 2265               Data Engineering             USD 200000        200000
## 2266        Machine Learning and AI             USD 260000        260000
## 2267        Machine Learning and AI             USD 192000        192000
## 2268      Data Science and Research             USD 272290        272290
## 2269      Data Science and Research             USD 169374        169374
## 2270      Data Science and Research             USD 195000        195000
## 2271      Data Science and Research             USD 204500        204500
## 2272      Data Science and Research             USD 142200        142200
## 2273                  Data Analysis             USD  17000         17000
## 2274               Data Engineering             USD 181500        181500
## 2275               Data Engineering             USD 112200        112200
## 2276        Machine Learning and AI             USD 204500        204500
## 2277        Machine Learning and AI             USD 142200        142200
## 2278      Data Science and Research             USD 180000        180000
## 2279      Data Science and Research             USD 162000        162000
## 2280        Machine Learning and AI             USD 150000        150000
## 2281        Machine Learning and AI             USD 100000        100000
## 2282        Machine Learning and AI             USD 250500        250500
## 2283        Machine Learning and AI             USD 166600        166600
## 2284      Leadership and Management             USD 247500        247500
## 2285      Leadership and Management             USD 172200        172200
## 2286        Machine Learning and AI             USD 247500        247500
## 2287        Machine Learning and AI             USD 172200        172200
## 2288      Data Science and Research             USD 223290        223290
## 2289      Data Science and Research             USD 131310        131310
## 2290                  Data Analysis             CAD  60000         44753
## 2291        Machine Learning and AI             USD  35000         35000
## 2292        Machine Learning and AI             EUR  50000         53984
## 2293        Machine Learning and AI             USD 226600        226600
## 2294        Machine Learning and AI             USD 140100        140100
## 2295        Machine Learning and AI             USD 204500        204500
## 2296        Machine Learning and AI             USD 142200        142200
## 2297      Data Science and Research             USD 220000        220000
## 2298      Data Science and Research             USD 140000        140000
## 2299        Machine Learning and AI             USD 204600        204600
## 2300        Machine Learning and AI             USD 126500        126500
## 2301      Data Science and Research             USD 135960        135960
## 2302      Data Science and Research             USD  70960         70960
## 2303               Data Engineering             USD 128750        128750
## 2304               Data Engineering             USD  86250         86250
## 2305               Data Engineering             GBP  90000        110736
## 2306               Data Engineering             GBP  75000         92280
## 2307               Data Engineering             USD 131000        131000
## 2308               Data Engineering             USD  88000         88000
## 2309                  Data Analysis             USD 185100        185100
## 2310                  Data Analysis             USD 133300        133300
## 2311      Data Science and Research             USD 180000        180000
## 2312      Data Science and Research             USD 150000        150000
## 2313               Data Engineering             USD  90000         90000
## 2314               Data Engineering             USD  75000         75000
## 2315        Machine Learning and AI             USD 130000        130000
## 2316                  Data Analysis             GBP  60000         73824
## 2317                  Data Analysis             GBP  50000         61520
## 2318      Leadership and Management             USD 115500        115500
## 2319      Leadership and Management             USD  73500         73500
## 2320        Machine Learning and AI             USD 125000        125000
## 2321        Machine Learning and AI             USD  85000         85000
## 2322      Leadership and Management             USD  80000         80000
## 2323      Leadership and Management             USD  70000         70000
## 2324      Data Science and Research             USD 260000        260000
## 2325      Data Science and Research             USD 160000        160000
## 2326      Leadership and Management             USD 105000        105000
## 2327      Leadership and Management             USD  80000         80000
## 2328        Machine Learning and AI             USD 150000        150000
## 2329        Machine Learning and AI             USD  95000         95000
## 2330               Data Engineering             USD 204750        204750
## 2331               Data Engineering             USD 153550        153550
## 2332                  Data Analysis             USD 150000        150000
## 2333                  Data Analysis             USD 120000        120000
## 2334               Data Engineering             USD 150000        150000
## 2335               Data Engineering             USD 110000        110000
## 2336               Data Engineering             USD 200000        200000
## 2337               Data Engineering             USD 141000        141000
## 2338               Data Engineering             USD 230000        230000
## 2339               Data Engineering             USD 175000        175000
## 2340      Data Science and Research             USD 150000        150000
## 2341      Data Science and Research             USD 120000        120000
## 2342        Machine Learning and AI             USD 207611        207611
## 2343        Machine Learning and AI             USD 127876        127876
## 2344                  Data Analysis             USD 175000        175000
## 2345                  Data Analysis             USD 135000        135000
## 2346                  Data Analysis             USD 100000        100000
## 2347                  Data Analysis             USD  75000         75000
## 2348      Data Science and Research             USD 170000        170000
## 2349      Data Science and Research             USD 144500        144500
## 2350        Machine Learning and AI             USD 204500        204500
## 2351        Machine Learning and AI             USD 142200        142200
## 2352        Machine Learning and AI             USD 255360        255360
## 2353        Machine Learning and AI             USD 212800        212800
## 2354               Data Engineering             USD 170000        170000
## 2355               Data Engineering             USD 100000        100000
## 2356                  Data Analysis             USD 106400        106400
## 2357                  Data Analysis             USD  81800         81800
## 2358      Leadership and Management             USD 130000        130000
## 2359      Leadership and Management             USD  69139         69139
## 2360           BI and Visualization             USD 100631        100631
## 2361           BI and Visualization             USD  80505         80505
## 2362               Data Engineering             USD 300105        300105
## 2363               Data Engineering             USD 151090        151090
## 2364        Machine Learning and AI             USD 217600        217600
## 2365        Machine Learning and AI             USD 145000        145000
## 2366      Data Science and Research             GBP  65000         79976
## 2367      Data Science and Research             GBP  45000         55368
## 2368               Data Engineering             USD 129000        129000
## 2369               Data Engineering             USD 110000        110000
## 2370      Data Science and Research             USD 185000        185000
## 2371      Data Science and Research             USD  50000         50000
## 2372               Data Engineering             USD 210000        210000
## 2373               Data Engineering             USD 108000        108000
## 2374                  Data Analysis             USD  80000         80000
## 2375                  Data Analysis             USD  59500         59500
## 2376        Machine Learning and AI             USD 250000        250000
## 2377        Machine Learning and AI             USD 173400        173400
## 2378 Data Architecture and Modeling             USD 215000        215000
## 2379 Data Architecture and Modeling             USD 153000        153000
## 2380        Machine Learning and AI             GBP 171000        210398
## 2381        Machine Learning and AI             GBP 120000        147648
## 2382                  Data Analysis             USD 105000        105000
## 2383                  Data Analysis             USD  75000         75000
## 2384        Machine Learning and AI             USD  60000         60000
## 2385        Machine Learning and AI             USD  54000         54000
## 2386               Data Engineering             USD 202000        202000
## 2387               Data Engineering             USD 132000        132000
## 2388      Data Science and Research             USD 185900        185900
## 2389      Data Science and Research             USD 129300        129300
## 2390        Machine Learning and AI             USD 204500        204500
## 2391        Machine Learning and AI             USD 142200        142200
## 2392                  Data Analysis             GBP  60000         73824
## 2393                  Data Analysis             GBP  50000         61520
## 2394      Data Science and Research             USD 316000        316000
## 2395      Data Science and Research             USD 202000        202000
## 2396      Data Science and Research             GBP  66000         81206
## 2397        Machine Learning and AI             USD 330000        330000
## 2398        Machine Learning and AI             USD 188000        188000
## 2399           BI and Visualization             USD 140000        140000
## 2400           BI and Visualization             USD 110000        110000
## 2401        Machine Learning and AI             USD 190000        190000
## 2402        Machine Learning and AI             USD 170000        170000
## 2403               Data Engineering             USD 180000        180000
## 2404               Data Engineering             USD 162000        162000
## 2405      Data Science and Research             USD 150000        150000
## 2406      Data Science and Research             USD 125000        125000
## 2407      Data Science and Research             USD 140000        140000
## 2408      Data Science and Research             USD 105000        105000
## 2409   Data Management and Strategy             USD  90000         90000
## 2410   Data Management and Strategy             USD  73000         73000
## 2411      Data Science and Research             USD 145000        145000
## 2412      Data Science and Research             USD 115000        115000
## 2413      Leadership and Management             USD 145000        145000
## 2414      Leadership and Management             USD 130000        130000
## 2415      Data Science and Research             USD 204500        204500
## 2416      Data Science and Research             USD 142200        142200
## 2417           BI and Visualization             USD 150000        150000
## 2418           BI and Visualization             USD 135000        135000
## 2419        Machine Learning and AI             USD 247500        247500
## 2420        Machine Learning and AI             USD 172200        172200
## 2421      Leadership and Management             USD 329500        329500
## 2422      Leadership and Management             USD 269600        269600
## 2423           BI and Visualization             USD 225000        225000
## 2424           BI and Visualization             USD 156400        156400
## 2425               Data Engineering             USD 190000        190000
## 2426               Data Engineering             USD 170000        170000
## 2427      Data Science and Research             USD 185900        185900
## 2428      Data Science and Research             USD 129300        129300
## 2429                  Data Analysis             USD  80000         80000
## 2430                  Data Analysis             USD  70000         70000
## 2431      Data Science and Research             USD 204500        204500
## 2432      Data Science and Research             USD 138900        138900
## 2433        Machine Learning and AI             USD 204500        204500
## 2434        Machine Learning and AI             USD 142200        142200
## 2435      Leadership and Management             USD 115500        115500
## 2436      Leadership and Management             USD  73500         73500
## 2437               Data Engineering             USD 146000        146000
## 2438               Data Engineering             USD  97000         97000
## 2439               Data Engineering             USD 147100        147100
## 2440               Data Engineering             USD  90700         90700
## 2441      Data Science and Research             USD 257000        257000
## 2442      Data Science and Research             USD 197000        197000
## 2443           BI and Visualization             USD 140000        140000
## 2444           BI and Visualization             USD 120000        120000
## 2445                  Data Analysis             USD  85000         85000
## 2446                  Data Analysis             USD  79000         79000
## 2447                  Data Analysis             USD  93919         93919
## 2448                  Data Analysis             USD  51962         51962
## 2449               Data Engineering             USD 155000        155000
## 2450               Data Engineering             USD  84800         84800
## 2451        Machine Learning and AI             USD 250500        250500
## 2452        Machine Learning and AI             USD 166600        166600
## 2453      Data Science and Research             GBP 110000        135344
## 2454      Data Science and Research             GBP  80000         98432
## 2455               Data Engineering             USD 174500        174500
## 2456               Data Engineering             USD 113000        113000
## 2457               Data Engineering             USD 135000        135000
## 2458               Data Engineering             USD  90000         90000
## 2459      Leadership and Management             GBP 200000        246080
## 2460      Leadership and Management             GBP 150000        184560
## 2461               Data Engineering             USD 135000        135000
## 2462               Data Engineering             USD  90000         90000
## 2463                  Data Analysis             EUR  49200         53120
## 2464                  Data Analysis             EUR  31200         33686
## 2465               Data Engineering             USD 260000        260000
## 2466               Data Engineering             USD 225000        225000
## 2467        Machine Learning and AI             USD 226600        226600
## 2468        Machine Learning and AI             USD 140100        140100
## 2469        Machine Learning and AI             USD 204600        204600
## 2470        Machine Learning and AI             USD 126500        126500
## 2471        Machine Learning and AI             USD 340000        340000
## 2472        Machine Learning and AI             USD 212000        212000
## 2473      Leadership and Management             USD 213600        213600
## 2474      Leadership and Management             USD 142400        142400
## 2475      Data Science and Research             USD 153600        153600
## 2476      Data Science and Research             USD 106800        106800
## 2477        Machine Learning and AI             USD 309000        309000
## 2478        Machine Learning and AI             USD 142000        142000
## 2479        Machine Learning and AI             USD 125000        125000
## 2480        Machine Learning and AI             USD  85000         85000
## 2481        Machine Learning and AI             USD 226600        226600
## 2482        Machine Learning and AI             USD 140100        140100
## 2483      Data Science and Research             USD 303050        303050
## 2484      Data Science and Research             USD 202350        202350
## 2485               Data Engineering             USD 143000        143000
## 2486               Data Engineering             USD  95000         95000
## 2487           BI and Visualization             USD 185000        185000
## 2488           BI and Visualization             USD  79600         79600
## 2489      Data Science and Research             USD 207900        207900
## 2490      Data Science and Research             USD 158400        158400
## 2491      Data Science and Research             USD 303050        303050
## 2492      Data Science and Research             USD 202350        202350
## 2493               Data Engineering             USD 385000        385000
## 2494               Data Engineering             USD 200000        200000
## 2495        Machine Learning and AI             USD 241300        241300
## 2496        Machine Learning and AI             USD 211949        211949
## 2497   Data Management and Strategy             USD 115000        115000
## 2498   Data Management and Strategy             USD  90000         90000
## 2499      Data Science and Research             USD 172200        172200
## 2500      Data Science and Research             USD 131200        131200
## 2501      Data Science and Research             USD 105000        105000
## 2502      Data Science and Research             USD  70000         70000
## 2503        Machine Learning and AI             USD 253000        253000
## 2504        Machine Learning and AI             USD 123800        123800
## 2505      Data Science and Research             USD 240000        240000
## 2506      Data Science and Research             USD 142500        142500
## 2507      Data Science and Research             PLN 150000         34924
## 2508        Machine Learning and AI             USD 330000        330000
## 2509        Machine Learning and AI             USD 204000        204000
## 2510        Machine Learning and AI             USD 180000        180000
## 2511        Machine Learning and AI             USD 160000        160000
## 2512           BI and Visualization             USD 193600        193600
## 2513           BI and Visualization             USD 130838        130838
## 2514               Data Engineering             USD 225500        225500
## 2515               Data Engineering             USD 139400        139400
## 2516               Data Engineering             USD 143000        143000
## 2517               Data Engineering             USD  95000         95000
## 2518        Machine Learning and AI             USD 328133        328133
## 2519        Machine Learning and AI             USD 218755        218755
## 2520      Data Science and Research             USD 250830        250830
## 2521      Data Science and Research             USD 143370        143370
## 2522      Leadership and Management             USD 260000        260000
## 2523      Leadership and Management             USD 160000        160000
## 2524      Data Science and Research             USD 203500        203500
## 2525      Data Science and Research             USD 166500        166500
## 2526      Data Science and Research             USD 180000        180000
## 2527      Data Science and Research             USD 162000        162000
## 2528               Data Engineering             USD 145000        145000
## 2529               Data Engineering             USD 115000        115000
## 2530                  Data Analysis             USD 180400        180400
## 2531                  Data Analysis             USD 138800        138800
## 2532      Data Science and Research             USD 148350        148350
## 2533      Data Science and Research             USD  87400         87400
## 2534                  Data Analysis             USD  87500         87500
## 2535                  Data Analysis             USD  62500         62500
## 2536      Data Science and Research             USD 157550        157550
## 2537      Data Science and Research             USD 104650        104650
## 2538      Leadership and Management             USD 115500        115500
## 2539      Leadership and Management             USD  73500         73500
## 2540        Machine Learning and AI             USD 309000        309000
## 2541        Machine Learning and AI             USD 142000        142000
## 2542               Data Engineering             USD 139500        139500
## 2543               Data Engineering             USD 118575        118575
## 2544                  Data Analysis             USD 129150        129150
## 2545                  Data Analysis             USD  98400         98400
## 2546                  Data Analysis             USD 192500        192500
## 2547                  Data Analysis             USD 140000        140000
## 2548               Data Engineering             GBP  55000         67672
## 2549               Data Engineering             GBP  55000         67672
## 2550           BI and Visualization             USD  98010         98010
## 2551           BI and Visualization             USD  66825         66825
## 2552      Leadership and Management             USD 145000        145000
## 2553      Leadership and Management             USD 130000        130000
## 2554                  Data Analysis             USD  95000         95000
## 2555                  Data Analysis             USD  80000         80000
## 2556      Data Science and Research             USD 204500        204500
## 2557      Data Science and Research             USD 142200        142200
## 2558      Data Science and Research             USD 120000        120000
## 2559      Data Science and Research             USD 100000        100000
## 2560      Data Science and Research             USD 190000        190000
## 2561      Data Science and Research             USD 170000        170000
## 2562      Data Science and Research             USD 155000        155000
## 2563      Data Science and Research             USD 130000        130000
## 2564      Leadership and Management             USD 115500        115500
## 2565      Leadership and Management             USD  73500         73500
## 2566        Machine Learning and AI             USD 204500        204500
## 2567        Machine Learning and AI             USD 142200        142200
## 2568        Machine Learning and AI             USD 170000        170000
## 2569        Machine Learning and AI             USD 120000        120000
## 2570                  Data Analysis             USD 229000        229000
## 2571                  Data Analysis             USD 131000        131000
## 2572 Data Architecture and Modeling             GBP  85000        104584
## 2573 Data Architecture and Modeling             GBP  75000         92280
## 2574                  Data Analysis             USD 192000        192000
## 2575                  Data Analysis             USD 164000        164000
## 2576               Data Engineering             USD 181500        181500
## 2577               Data Engineering             USD 112200        112200
## 2578      Data Science and Research             USD 223800        223800
## 2579      Data Science and Research             USD 172100        172100
## 2580      Data Science and Research             USD 258800        258800
## 2581      Data Science and Research             USD 199200        199200
## 2582      Data Science and Research             USD 185000        185000
## 2583      Data Science and Research             USD 148000        148000
## 2584        Machine Learning and AI             USD 193600        193600
## 2585        Machine Learning and AI             USD 119700        119700
## 2586      Data Science and Research             USD 175750        175750
## 2587      Data Science and Research             USD 136742        136742
## 2588      Data Science and Research             USD 257400        257400
## 2589      Data Science and Research             USD 193500        193500
## 2590      Data Science and Research             USD 228856        228856
## 2591      Data Science and Research             USD 144540        144540
## 2592 Data Architecture and Modeling             USD 170000        170000
## 2593 Data Architecture and Modeling             USD 140000        140000
## 2594      Data Science and Research             USD 155000        155000
## 2595      Data Science and Research             USD 125000        125000
## 2596 Data Architecture and Modeling             USD 170000        170000
## 2597 Data Architecture and Modeling             USD 140000        140000
## 2598               Data Engineering             USD 150600        150600
## 2599               Data Engineering             USD 120500        120500
## 2600      Data Science and Research             USD 176000        176000
## 2601      Data Science and Research             USD 152000        152000
## 2602      Leadership and Management             USD 200000        200000
## 2603 Data Architecture and Modeling             USD 115500        115500
## 2604 Data Architecture and Modeling             USD  73500         73500
## 2605               Data Engineering             GBP 110000        135344
## 2606               Data Engineering             GBP  80000         98432
## 2607      Data Science and Research             USD 225000        225000
## 2608      Data Science and Research             USD 172758        172758
## 2609      Data Science and Research             GBP  70000         86128
## 2610      Data Science and Research             GBP  55000         67672
## 2611                  Data Analysis             USD 110000        110000
## 2612                  Data Analysis             USD  85000         85000
## 2613                  Data Analysis             GBP  42000         51676
## 2614                  Data Analysis             GBP  35000         43064
## 2615               Data Engineering             USD 245000        245000
## 2616               Data Engineering             USD 194992        194992
## 2617      Data Science and Research             USD 140000        140000
## 2618      Data Science and Research             USD 100000        100000
## 2619        Machine Learning and AI             USD 213800        213800
## 2620        Machine Learning and AI             USD 180300        180300
## 2621               Data Engineering             USD 145000        145000
## 2622               Data Engineering             USD  90000         90000
## 2623      Data Science and Research             USD 375500        375500
## 2624      Data Science and Research             USD 250300        250300
## 2625        Machine Learning and AI             USD 250500        250500
## 2626        Machine Learning and AI             USD 166600        166600
## 2627        Machine Learning and AI             USD 262269        262269
## 2628        Machine Learning and AI             USD 230797        230797
## 2629               Data Engineering             USD 147100        147100
## 2630               Data Engineering             USD  90700         90700
## 2631        Machine Learning and AI             USD 185000        185000
## 2632        Machine Learning and AI             USD 145000        145000
## 2633                  Data Analysis             GBP 100000        123040
## 2634                  Data Analysis             GBP  75000         92280
## 2635           BI and Visualization             GBP  80000         98432
## 2636           BI and Visualization             GBP  50750         62442
## 2637      Data Science and Research             USD 115000        115000
## 2638      Data Science and Research             USD  90000         90000
## 2639                  Data Analysis             USD 195000        195000
## 2640                  Data Analysis             USD  73500         73500
## 2641               Data Engineering             USD 155000        155000
## 2642               Data Engineering             USD  84800         84800
## 2643               Data Engineering             USD 185000        185000
## 2644               Data Engineering             USD 145000        145000
## 2645        Machine Learning and AI             USD 158900        158900
## 2646        Machine Learning and AI             USD 132400        132400
## 2647        Machine Learning and AI             USD 140000        140000
## 2648      Leadership and Management             USD 130000        130000
## 2649      Leadership and Management             USD 100000        100000
## 2650        Machine Learning and AI             USD 163800        163800
## 2651        Machine Learning and AI             USD 126000        126000
## 2652      Data Science and Research             USD 225000        225000
## 2653      Data Science and Research             USD 111967        111967
## 2654               Data Engineering             USD 205600        205600
## 2655               Data Engineering             USD 105700        105700
## 2656      Leadership and Management             USD 115500        115500
## 2657      Leadership and Management             USD  73500         73500
## 2658                  Data Analysis             USD 104000        104000
## 2659                  Data Analysis             USD  88000         88000
## 2660               Data Engineering             USD 216027        216027
## 2661               Data Engineering             USD 101028        101028
## 2662      Data Science and Research             EUR  45000         48585
## 2663      Data Science and Research             EUR  36000         38868
## 2664      Data Science and Research             USD 309400        309400
## 2665      Data Science and Research             USD 159100        159100
## 2666                  Data Analysis             USD 142000        142000
## 2667                  Data Analysis             USD 128000        128000
## 2668               Data Engineering             USD 174350        174350
## 2669               Data Engineering             USD 126800        126800
## 2670        Machine Learning and AI             USD 226600        226600
## 2671        Machine Learning and AI             USD 140100        140100
## 2672      Data Science and Research             USD 180000        180000
## 2673      Data Science and Research             USD 162000        162000
## 2674        Machine Learning and AI             USD 262000        262000
## 2675        Machine Learning and AI             USD 186000        186000
## 2676           BI and Visualization             USD 185000        185000
## 2677           BI and Visualization             USD  79600         79600
## 2678                  Data Analysis             USD 129000        129000
## 2679                  Data Analysis             USD  95000         95000
## 2680      Leadership and Management             USD 175000        175000
## 2681      Leadership and Management             USD 120000        120000
## 2682                  Data Analysis             GBP  75000         92280
## 2683                  Data Analysis             GBP  55000         67672
## 2684      Data Science and Research             EUR  27500         29691
## 2685                  Data Analysis             USD 130000        130000
## 2686                  Data Analysis             USD 105000        105000
## 2687        Machine Learning and AI             USD 232200        232200
## 2688        Machine Learning and AI             USD 119000        119000
## 2689      Data Science and Research             USD 268000        268000
## 2690      Data Science and Research             USD 137500        137500
## 2691                  Data Analysis             USD 153300        153300
## 2692                  Data Analysis             USD 104244        104244
## 2693      Data Science and Research             USD 216000        216000
## 2694      Data Science and Research             USD 184000        184000
## 2695      Data Science and Research             USD 190000        190000
## 2696      Data Science and Research             USD 145000        145000
## 2697               Data Engineering             USD 155000        155000
## 2698               Data Engineering             USD 135000        135000
## 2699      Data Science and Research             USD 226000        226000
## 2700      Data Science and Research             USD 160000        160000
## 2701                  Data Analysis             USD  80000         80000
## 2702                  Data Analysis             USD  70000         70000
## 2703      Data Science and Research             USD 198800        198800
## 2704      Data Science and Research             USD 122600        122600
## 2705      Data Science and Research             USD 230000        230000
## 2706      Data Science and Research             USD 196000        196000
## 2707      Data Science and Research             USD 181500        181500
## 2708      Data Science and Research             USD 127000        127000
## 2709        Machine Learning and AI             USD 210000        210000
## 2710        Machine Learning and AI             USD 120000        120000
## 2711        Machine Learning and AI             USD 385000        385000
## 2712        Machine Learning and AI             USD 245000        245000
## 2713        Machine Learning and AI             USD 225000        225000
## 2714        Machine Learning and AI             USD 175000        175000
## 2715               Data Engineering             CAD 148500        110019
## 2716               Data Engineering             CAD 117000         86682
## 2717                  Data Analysis             USD 131650        131650
## 2718                  Data Analysis             USD 105320        105320
## 2719      Data Science and Research             USD 210000        210000
## 2720      Data Science and Research             USD 151800        151800
## 2721      Data Science and Research             USD 147500        147500
## 2722      Data Science and Research             USD 112500        112500
## 2723        Machine Learning and AI             USD 240000        240000
## 2724        Machine Learning and AI             USD 163200        163200
## 2725                  Data Analysis             USD 134200        134200
## 2726                  Data Analysis             USD 103200        103200
## 2727                  Data Analysis             USD  65000         65000
## 2728                  Data Analysis             USD  55000         55000
## 2729      Data Science and Research             USD 234000        234000
## 2730      Data Science and Research             USD 176000        176000
## 2731        Machine Learning and AI             USD 165400        165400
## 2732        Machine Learning and AI             USD 127300        127300
## 2733                  Data Analysis             USD 180400        180400
## 2734                  Data Analysis             USD 138800        138800
## 2735      Data Science and Research             EUR 100000        107968
## 2736        Machine Learning and AI             EUR  30390         32811
## 2737      Data Science and Research             USD 185900        185900
## 2738      Data Science and Research             USD 129300        129300
## 2739      Leadership and Management             USD 115500        115500
## 2740      Leadership and Management             USD  73500         73500
## 2741        Machine Learning and AI             USD 145000        145000
## 2742        Machine Learning and AI             USD 135000        135000
## 2743      Data Science and Research             USD 126900        126900
## 2744      Data Science and Research             USD  77900         77900
## 2745                  Data Analysis             USD  85000         85000
## 2746                  Data Analysis             USD  75000         75000
## 2747               Data Engineering             GBP  90000        110736
## 2748               Data Engineering             GBP  75000         92280
## 2749        Machine Learning and AI             USD 330000        330000
## 2750        Machine Learning and AI             USD 204000        204000
## 2751                  Data Analysis             USD 169000        169000
## 2752                  Data Analysis             USD 110600        110600
## 2753      Leadership and Management             USD 115500        115500
## 2754      Leadership and Management             USD  73500         73500
## 2755      Data Science and Research             USD 168000        168000
## 2756      Data Science and Research             USD 130000        130000
## 2757               Data Engineering             USD 225500        225500
## 2758               Data Engineering             USD 139400        139400
## 2759      Data Science and Research             USD 150000        150000
## 2760      Data Science and Research             USD 140000        140000
## 2761      Data Science and Research             USD 226000        226000
## 2762      Data Science and Research             USD 162000        162000
## 2763        Machine Learning and AI             USD 200000        200000
## 2764        Machine Learning and AI             USD 150000        150000
## 2765 Data Architecture and Modeling             USD 195000        195000
## 2766 Data Architecture and Modeling             USD 160000        160000
## 2767    Data Quality and Operations             USD 154000        154000
## 2768    Data Quality and Operations             USD  82000         82000
## 2769      Data Science and Research             USD 160000        160000
## 2770      Data Science and Research             USD 145000        145000
## 2771        Machine Learning and AI             USD 239400        239400
## 2772        Machine Learning and AI             USD 136800        136800
## 2773      Leadership and Management             USD 329500        329500
## 2774      Leadership and Management             USD 269600        269600
## 2775      Data Science and Research             USD 120000        120000
## 2776      Data Science and Research             USD 100000        100000
## 2777      Data Science and Research             USD 204500        204500
## 2778      Data Science and Research             USD 142200        142200
## 2779      Data Science and Research             USD 230000        230000
## 2780      Data Science and Research             USD 180000        180000
## 2781      Data Science and Research             USD 164000        164000
## 2782      Data Science and Research             USD 130000        130000
## 2783               Data Engineering             USD 169000        169000
## 2784               Data Engineering             USD  91000         91000
## 2785        Machine Learning and AI             USD 323300        323300
## 2786        Machine Learning and AI             USD 184700        184700
## 2787      Leadership and Management             USD 145000        145000
## 2788      Leadership and Management             USD 130000        130000
## 2789               Data Engineering             USD 170000        170000
## 2790               Data Engineering             USD 120000        120000
## 2791      Data Science and Research             USD 210000        210000
## 2792      Data Science and Research             USD 136000        136000
## 2793               Data Engineering             USD 171250        171250
## 2794               Data Engineering             USD 113750        113750
## 2795      Data Science and Research             USD 136000        136000
## 2796      Data Science and Research             USD 104000        104000
## 2797        Machine Learning and AI             USD 195000        195000
## 2798        Machine Learning and AI             USD 142000        142000
## 2799               Data Engineering             USD 185900        185900
## 2800               Data Engineering             USD 129300        129300
## 2801        Machine Learning and AI             USD 194100        194100
## 2802        Machine Learning and AI             USD 152300        152300
## 2803 Data Architecture and Modeling             USD 190000        190000
## 2804 Data Architecture and Modeling             USD 120000        120000
## 2805      Data Science and Research             USD 240000        240000
## 2806      Data Science and Research             USD 157250        157250
## 2807               Data Engineering             USD 212000        212000
## 2808               Data Engineering             USD 170000        170000
## 2809               Data Engineering             USD 194400        194400
## 2810               Data Engineering             USD 132192        132192
## 2811        Machine Learning and AI             USD 204500        204500
## 2812        Machine Learning and AI             USD 142200        142200
## 2813      Leadership and Management             USD 174000        174000
## 2814      Leadership and Management             USD 134000        134000
## 2815        Machine Learning and AI             EUR  36000         38868
## 2816               Data Engineering             USD 152000        152000
## 2817      Leadership and Management             USD 144700        144700
## 2818      Leadership and Management             USD  85500         85500
## 2819      Leadership and Management             USD 115500        115500
## 2820      Leadership and Management             USD  73500         73500
## 2821                  Data Analysis             EUR  49200         53120
## 2822                  Data Analysis             EUR  36000         38868
## 2823      Data Science and Research             USD 200000        200000
## 2824      Data Science and Research             USD 160000        160000
## 2825                  Data Analysis             USD  67500         67500
## 2826                  Data Analysis             USD  46500         46500
## 2827               Data Engineering             USD 265800        265800
## 2828               Data Engineering             USD 177200        177200
## 2829      Data Science and Research             USD 222000        222000
## 2830      Data Science and Research             USD 115920        115920
## 2831        Machine Learning and AI             USD 250000        250000
## 2832        Machine Learning and AI             USD 190000        190000
## 2833        Machine Learning and AI             EUR  60000         64781
## 2834               Data Engineering             USD 284310        284310
## 2835               Data Engineering             USD 153090        153090
## 2836        Machine Learning and AI             USD 324000        324000
## 2837        Machine Learning and AI             USD 159000        159000
## 2838      Data Science and Research             USD 204500        204500
## 2839      Data Science and Research             USD 142200        142200
## 2840        Machine Learning and AI             USD 309000        309000
## 2841        Machine Learning and AI             USD 142000        142000
## 2842               Data Engineering             USD 247300        247300
## 2843               Data Engineering             USD 139700        139700
## 2844                  Data Analysis             USD  95000         95000
## 2845                  Data Analysis             USD  80000         80000
## 2846      Data Science and Research             USD 130500        130500
## 2847      Data Science and Research             USD 111000        111000
## 2848                  Data Analysis             USD 213210        213210
## 2849                  Data Analysis             USD 102434        102434
## 2850        Machine Learning and AI             USD 200000        200000
## 2851        Machine Learning and AI             USD 140000        140000
## 2852      Data Science and Research             USD 226600        226600
## 2853      Data Science and Research             USD 140100        140100
## 2854      Data Science and Research             USD 225000        225000
## 2855      Data Science and Research             USD 156400        156400
## 2856      Data Science and Research             USD 250000        250000
## 2857      Data Science and Research             USD 176000        176000
## 2858        Machine Learning and AI             USD  80000         80000
## 2859      Leadership and Management             USD 233400        233400
## 2860      Leadership and Management             USD 145300        145300
## 2861               Data Engineering             USD 248000        248000
## 2862               Data Engineering             USD 149000        149000
## 2863      Leadership and Management             USD 156450        156450
## 2864      Leadership and Management             USD 119200        119200
## 2865      Leadership and Management             USD 115500        115500
## 2866      Leadership and Management             USD  73500         73500
## 2867        Machine Learning and AI             USD 185000        185000
## 2868        Machine Learning and AI             USD 120250        120250
## 2869      Data Science and Research             USD 216000        216000
## 2870      Data Science and Research             USD 184000        184000
## 2871        Machine Learning and AI             USD 300000        300000
## 2872        Machine Learning and AI             USD 200000        200000
## 2873      Data Science and Research             USD 230000        230000
## 2874      Data Science and Research             USD 196000        196000
## 2875        Machine Learning and AI             USD 192000        192000
## 2876        Machine Learning and AI             USD 164000        164000
## 2877      Data Science and Research             USD 225000        225000
## 2878      Data Science and Research             USD 152700        152700
## 2879      Data Science and Research             USD 192000        192000
## 2880      Data Science and Research             USD 164000        164000
## 2881      Leadership and Management             USD 115500        115500
## 2882      Leadership and Management             USD  73500         73500
## 2883        Machine Learning and AI             EUR  60000         64781
## 2884               Data Engineering             USD 160000        160000
## 2885               Data Engineering             USD 140000        140000
## 2886               Data Engineering             USD 139152        139152
## 2887               Data Engineering             USD  82452         82452
## 2888      Data Science and Research             USD 204500        204500
## 2889      Data Science and Research             USD 142200        142200
## 2890 Data Architecture and Modeling             USD  85000         85000
## 2891 Data Architecture and Modeling             USD  65000         65000
## 2892                  Data Analysis             USD 139000        139000
## 2893                  Data Analysis             USD  85700         85700
## 2894      Data Science and Research             USD 248100        248100
## 2895      Data Science and Research             USD 145900        145900
## 2896        Machine Learning and AI             USD 200000        200000
## 2897        Machine Learning and AI             USD 145000        145000
## 2898        Machine Learning and AI             USD 230000        230000
## 2899        Machine Learning and AI             USD 184000        184000
## 2900        Machine Learning and AI             USD 269500        269500
## 2901        Machine Learning and AI             USD 166600        166600
## 2902        Machine Learning and AI             USD 295500        295500
## 2903        Machine Learning and AI             USD 165200        165200
## 2904        Machine Learning and AI             USD 226600        226600
## 2905        Machine Learning and AI             USD 140100        140100
## 2906        Machine Learning and AI             USD 235000        235000
## 2907        Machine Learning and AI             USD 135000        135000
## 2908                  Data Analysis             USD 110000        110000
## 2909                  Data Analysis             USD  75000         75000
## 2910      Leadership and Management             USD 180000        180000
## 2911      Leadership and Management             USD 144000        144000
## 2912               Data Engineering             GBP  40000         49216
## 2913               Data Engineering             GBP  35000         43064
## 2914                  Data Analysis             USD  65000         65000
## 2915                  Data Analysis             USD  55000         55000
## 2916      Leadership and Management             USD 160667        160667
## 2917      Leadership and Management             USD 130000        130000
## 2918        Machine Learning and AI             BRL 140400         27568
## 2919                  Data Analysis             USD 169000        169000
## 2920                  Data Analysis             USD 110600        110600
## 2921               Data Engineering             USD 225500        225500
## 2922               Data Engineering             USD 139400        139400
## 2923               Data Engineering             USD 304200        304200
## 2924               Data Engineering             USD 173800        173800
## 2925      Data Science and Research             USD 191765        191765
## 2926      Data Science and Research             USD 134326        134326
## 2927      Leadership and Management             USD 173000        173000
## 2928      Leadership and Management             USD 160000        160000
## 2929        Machine Learning and AI             USD 258384        258384
## 2930        Machine Learning and AI             USD 153100        153100
## 2931      Data Science and Research             USD 135000        135000
## 2932      Data Science and Research             USD  70000         70000
## 2933      Data Science and Research             USD 168000        168000
## 2934      Data Science and Research             USD 130000        130000
## 2935                  Data Analysis             USD 146200        146200
## 2936                  Data Analysis             USD 116960        116960
## 2937               Data Engineering             USD 226700        226700
## 2938               Data Engineering             USD 133300        133300
## 2939               Data Engineering             USD 370000        370000
## 2940               Data Engineering             USD 245000        245000
## 2941        Machine Learning and AI             USD 208450        208450
## 2942        Machine Learning and AI             USD 151600        151600
## 2943   Data Management and Strategy             USD 111600        111600
## 2944   Data Management and Strategy             USD  72000         72000
## 2945      Data Science and Research             USD 359170        359170
## 2946      Data Science and Research             USD 295490        295490
## 2947               Data Engineering             USD  90000         90000
## 2948      Leadership and Management             USD  90000         90000
## 2949      Leadership and Management             USD  84000         84000
## 2950               Data Engineering             USD 110000        110000
## 2951               Data Engineering             USD  90000         90000
## 2952               Data Engineering             USD 110000        110000
## 2953               Data Engineering             USD  70000         70000
## 2954      Data Science and Research             EUR  45000         48585
## 2955      Data Science and Research             EUR  36000         38868
## 2956               Data Engineering             USD  90000         90000
## 2957               Data Engineering             USD  75000         75000
## 2958      Data Science and Research             USD 253000        253000
## 2959      Data Science and Research             USD 162000        162000
## 2960   Data Management and Strategy             USD 115000        115000
## 2961   Data Management and Strategy             USD  85000         85000
## 2962      Data Science and Research             USD 164000        164000
## 2963      Data Science and Research             USD 130000        130000
## 2964      Data Science and Research             USD 359170        359170
## 2965      Data Science and Research             USD 295490        295490
## 2966      Data Science and Research             USD 145900        145900
## 2967      Data Science and Research             USD 128100        128100
## 2968           BI and Visualization             USD 127000        127000
## 2969           BI and Visualization             USD  95000         95000
## 2970                  Data Analysis             USD  94600         94600
## 2971                  Data Analysis             USD  86000         86000
## 2972               Data Engineering             USD  72000         72000
## 2973               Data Engineering             USD  60000         60000
## 2974      Data Science and Research             USD 136000        136000
## 2975      Data Science and Research             USD 104000        104000
## 2976        Machine Learning and AI             USD 323300        323300
## 2977        Machine Learning and AI             USD 184700        184700
## 2978               Data Engineering             USD 150000        150000
## 2979               Data Engineering             USD 101570        101570
## 2980        Machine Learning and AI             USD 247500        247500
## 2981        Machine Learning and AI             USD 172200        172200
## 2982      Data Science and Research             USD 198800        198800
## 2983      Data Science and Research             USD 122600        122600
## 2984               Data Engineering             USD 173650        173650
## 2985               Data Engineering             USD 113900        113900
## 2986      Data Science and Research             USD 185000        185000
## 2987      Data Science and Research             USD 126000        126000
## 2988   Data Management and Strategy             USD 139500        139500
## 2989   Data Management and Strategy             USD 110000        110000
## 2990      Data Science and Research             USD 160000        160000
## 2991      Data Science and Research             USD 130000        130000
## 2992        Machine Learning and AI             USD 280000        280000
## 2993        Machine Learning and AI             USD 200000        200000
## 2994      Data Science and Research             GBP 100000        123040
## 2995      Data Science and Research             GBP  60000         73824
## 2996      Data Science and Research             USD 248100        248100
## 2997      Data Science and Research             USD 145900        145900
## 2998           BI and Visualization             USD 220000        220000
## 2999           BI and Visualization             USD 175000        175000
## 3000      Data Science and Research             USD 175000        175000
## 3001      Data Science and Research             USD 150000        150000
## 3002      Leadership and Management             USD 145000        145000
## 3003      Leadership and Management             USD 130000        130000
## 3004      Leadership and Management             USD 115500        115500
## 3005      Leadership and Management             USD  73500         73500
## 3006                  Data Analysis             USD 150000        150000
## 3007                  Data Analysis             USD 135000        135000
## 3008                  Data Analysis             USD 150000        150000
## 3009                  Data Analysis             USD  85000         85000
## 3010               Data Engineering             USD 210000        210000
## 3011               Data Engineering             USD 170000        170000
## 3012               Data Engineering             USD 160000        160000
## 3013               Data Engineering             USD 108000        108000
## 3014      Leadership and Management             USD 115000        115000
## 3015      Leadership and Management             USD 110000        110000
## 3016        Machine Learning and AI             USD 220000        220000
## 3017        Machine Learning and AI             USD 185000        185000
## 3018      Data Science and Research             USD 182500        182500
## 3019      Data Science and Research             USD 135000        135000
## 3020      Data Science and Research             USD 208500        208500
## 3021      Data Science and Research             USD 165000        165000
## 3022                  Data Analysis             USD  35000         35000
## 3023               Data Engineering             USD 146000        146000
## 3024               Data Engineering             USD  94000         94000
## 3025           BI and Visualization             USD 225000        225000
## 3026           BI and Visualization             USD 156400        156400
## 3027        Machine Learning and AI             USD 300000        300000
## 3028 Data Architecture and Modeling             USD  91000         91000
## 3029 Data Architecture and Modeling             USD  86000         86000
## 3030      Data Science and Research             USD 205500        205500
## 3031      Data Science and Research             USD 132500        132500
## 3032      Leadership and Management             USD 115500        115500
## 3033      Leadership and Management             USD  73500         73500
## 3034                  Data Analysis             USD 180000        180000
## 3035      Data Science and Research             USD 204500        204500
## 3036      Data Science and Research             USD 142200        142200
## 3037      Leadership and Management             USD  97750         97750
## 3038      Leadership and Management             USD  75000         75000
## 3039      Data Science and Research             USD 252990        252990
## 3040      Data Science and Research             USD 162170        162170
## 3041      Data Science and Research             USD 216000        216000
## 3042      Data Science and Research             USD 184000        184000
## 3043               Data Engineering             USD 170000        170000
## 3044               Data Engineering             USD 120000        120000
## 3045               Data Engineering             USD 133200        133200
## 3046               Data Engineering             USD  84000         84000
## 3047                  Data Analysis             USD  75000         75000
## 3048                  Data Analysis             USD  67500         67500
## 3049               Data Engineering             GBP  70000         86128
## 3050               Data Engineering             GBP  50000         61520
## 3051      Data Science and Research             USD 300000        300000
## 3052      Data Science and Research             USD 160000        160000
## 3053                  Data Analysis             USD 142000        142000
## 3054                  Data Analysis             USD 128000        128000
## 3055      Data Science and Research             USD 160000        160000
## 3056      Data Science and Research             USD 140000        140000
## 3057      Data Science and Research             USD 265000        265000
## 3058      Data Science and Research             USD 153000        153000
## 3059                  Data Analysis             USD 143000        143000
## 3060                  Data Analysis             USD 126277        126277
## 3061      Data Science and Research             USD 230000        230000
## 3062      Data Science and Research             USD 153000        153000
## 3063               Data Engineering             USD 224500        224500
## 3064               Data Engineering             USD 126900        126900
## 3065      Leadership and Management             USD 115500        115500
## 3066      Leadership and Management             USD  73500         73500
## 3067      Data Science and Research             USD 145000        145000
## 3068      Data Science and Research             USD 115000        115000
## 3069      Data Science and Research             USD 227700        227700
## 3070      Data Science and Research             USD 154836        154836
## 3071                  Data Analysis             USD 140000        140000
## 3072                  Data Analysis             USD 126000        126000
## 3073        Machine Learning and AI             USD 165000        165000
## 3074        Machine Learning and AI             USD 127000        127000
## 3075      Leadership and Management             USD 209000        209000
## 3076      Leadership and Management             USD 112500        112500
## 3077 Data Architecture and Modeling             USD 140000        140000
## 3078 Data Architecture and Modeling             USD 110000        110000
## 3079               Data Engineering             USD 185900        185900
## 3080               Data Engineering             USD 129300        129300
## 3081      Data Science and Research             USD 370000        370000
## 3082      Data Science and Research             USD 300000        300000
## 3083                  Data Analysis             USD 136000        136000
## 3084                  Data Analysis             USD 104000        104000
## 3085      Data Science and Research             USD 214000        214000
## 3086      Data Science and Research             USD 154000        154000
## 3087      Data Science and Research             USD 205000        205000
## 3088      Data Science and Research             USD 157500        157500
## 3089               Data Engineering             USD 255000        255000
## 3090               Data Engineering             USD 178000        178000
## 3091               Data Engineering             USD 155000        155000
## 3092               Data Engineering             USD 109283        109283
## 3093      Data Science and Research             USD 189000        189000
## 3094      Data Science and Research             USD 137000        137000
## 3095                  Data Analysis             USD 120000        120000
## 3096                  Data Analysis             USD 110000        110000
## 3097        Machine Learning and AI             USD 204500        204500
## 3098        Machine Learning and AI             USD 142200        142200
## 3099                  Data Analysis             USD 100000        100000
## 3100                  Data Analysis             USD  75000         75000
## 3101               Data Engineering             USD 181500        181500
## 3102               Data Engineering             USD 112200        112200
## 3103               Data Engineering             GBP  40000         49216
## 3104               Data Engineering             GBP  35000         43064
## 3105      Data Science and Research             USD 170500        170500
## 3106      Data Science and Research             USD 118575        118575
## 3107                  Data Analysis             USD 130000        130000
## 3108                  Data Analysis             USD 100000        100000
## 3109        Machine Learning and AI             EUR  93000         97712
## 3110      Data Science and Research             EUR  23100         24940
## 3111      Leadership and Management             USD 172200        172200
## 3112      Leadership and Management             USD 131200        131200
## 3113                  Data Analysis             USD 154500        154500
## 3114                  Data Analysis             USD 131325        131325
## 3115      Leadership and Management             USD 110400        110400
## 3116      Leadership and Management             USD  68000         68000
## 3117      Leadership and Management             USD 115500        115500
## 3118      Leadership and Management             USD  73500         73500
## 3119           BI and Visualization             USD 140000        140000
## 3120           BI and Visualization             USD 100000        100000
## 3121                  Data Analysis             USD 192000        192000
## 3122                  Data Analysis             USD 138240        138240
## 3123        Machine Learning and AI             USD 225000        225000
## 3124        Machine Learning and AI             USD 190000        190000
## 3125      Data Science and Research             USD 207500        207500
## 3126      Data Science and Research             USD 172900        172900
## 3127      Data Science and Research             USD 135000        135000
## 3128      Data Science and Research             USD  70000         70000
## 3129      Data Science and Research             USD 254000        254000
## 3130      Data Science and Research             USD 185000        185000
## 3131               Data Engineering             USD 162000        162000
## 3132               Data Engineering             USD 111000        111000
## 3133      Data Science and Research             USD 225000        225000
## 3134      Data Science and Research             USD 156400        156400
## 3135 Data Architecture and Modeling             USD 147100        147100
## 3136 Data Architecture and Modeling             USD  90700         90700
## 3137                  Data Analysis             USD  90000         90000
## 3138                  Data Analysis             USD  70000         70000
## 3139               Data Engineering             USD 168400        168400
## 3140               Data Engineering             USD 105200        105200
## 3141      Data Science and Research             USD 237000        237000
## 3142      Data Science and Research             USD 170112        170112
## 3143      Data Science and Research             EUR  24000         25912
## 3144      Data Science and Research             EUR 125000        134960
## 3145           BI and Visualization             USD 155000        155000
## 3146           BI and Visualization             USD 130000        130000
## 3147           BI and Visualization             USD 105000        105000
## 3148           BI and Visualization             USD  70000         70000
## 3149                  Data Analysis             USD 140000        140000
## 3150                  Data Analysis             USD 120000        120000
## 3151   Data Management and Strategy             USD 115000        115000
## 3152   Data Management and Strategy             USD  85000         85000
## 3153        Machine Learning and AI             USD 260000        260000
## 3154        Machine Learning and AI             USD 234000        234000
## 3155        Machine Learning and AI             USD 204500        204500
## 3156        Machine Learning and AI             USD 142200        142200
## 3157        Machine Learning and AI             USD 330000        330000
## 3158        Machine Learning and AI             USD 204000        204000
## 3159               Data Engineering             USD 180000        180000
## 3160               Data Engineering             USD 165000        165000
## 3161      Data Science and Research             USD 185900        185900
## 3162      Data Science and Research             USD 167310        167310
## 3163                  Data Analysis             USD  94600         94600
## 3164                  Data Analysis             USD  86000         86000
## 3165      Data Science and Research             USD 297300        297300
## 3166      Data Science and Research             USD 198200        198200
## 3167                  Data Analysis             USD 167000        167000
## 3168                  Data Analysis             USD 150000        150000
## 3169               Data Engineering             USD 121000        121000
## 3170               Data Engineering             USD 101570        101570
## 3171 Data Architecture and Modeling             USD 175000        175000
## 3172 Data Architecture and Modeling             USD 125000        125000
## 3173        Machine Learning and AI             USD 325000        325000
## 3174        Machine Learning and AI             USD 171000        171000
## 3175      Data Science and Research             USD 180000        180000
## 3176      Data Science and Research             USD 137000        137000
## 3177      Data Science and Research             USD 265000        265000
## 3178      Data Science and Research             USD 172000        172000
## 3179        Machine Learning and AI             USD 155810        155810
## 3180        Machine Learning and AI             USD 106720        106720
## 3181      Data Science and Research             USD 160800        160800
## 3182      Data Science and Research             USD 132200        132200
## 3183                  Data Analysis             USD 133000        133000
## 3184                  Data Analysis             USD 113000        113000
## 3185                  Data Analysis             USD 105000        105000
## 3186                  Data Analysis             USD  75000         75000
## 3187      Data Science and Research             USD 208400        208400
## 3188      Data Science and Research             USD 139000        139000
## 3189               Data Engineering             USD 157550        157550
## 3190               Data Engineering             USD 104650        104650
## 3191               Data Engineering             USD 240500        240500
## 3192               Data Engineering             USD 123700        123700
## 3193               Data Engineering             USD 205600        205600
## 3194               Data Engineering             USD 105700        105700
## 3195                  Data Analysis             USD  78000         78000
## 3196               Data Engineering             USD 121000        121000
## 3197               Data Engineering             USD  78000         78000
## 3198      Data Science and Research             USD  85600         85600
## 3199      Data Science and Research             USD  48915         48915
## 3200                  Data Analysis             USD  78000         78000
## 3201                  Data Analysis             USD  68000         68000
## 3202      Data Science and Research             EUR  49500         53444
## 3203      Data Science and Research             EUR  41818         45150
## 3204      Data Science and Research             USD 275500        275500
## 3205      Data Science and Research             USD 206000        206000
## 3206           BI and Visualization             USD 202800        202800
## 3207           BI and Visualization             USD 104300        104300
## 3208      Data Science and Research             EUR  52200         56359
## 3209      Data Science and Research             EUR  44272         47799
## 3210               Data Engineering             USD 154000        154000
## 3211               Data Engineering             USD 102000        102000
## 3212 Data Architecture and Modeling             USD 140000        140000
## 3213 Data Architecture and Modeling             USD 100000        100000
## 3214 Data Architecture and Modeling             USD  91000         91000
## 3215 Data Architecture and Modeling             USD  86000         86000
## 3216      Data Science and Research             USD 228000        228000
## 3217      Data Science and Research             USD 136000        136000
## 3218                  Data Analysis             USD 180000        180000
## 3219                  Data Analysis             USD 140000        140000
## 3220      Data Science and Research             USD 175000        175000
## 3221      Data Science and Research             USD 155000        155000
## 3222      Data Science and Research             EUR  15662         16455
## 3223                  Data Analysis             USD 207611        207611
## 3224                  Data Analysis             USD 127876        127876
## 3225                  Data Analysis             USD 111000        111000
## 3226                  Data Analysis             USD 104000        104000
## 3227           BI and Visualization             USD 128000        128000
## 3228           BI and Visualization             USD  81500         81500
## 3229                  Data Analysis             GBP  50000         61520
## 3230                  Data Analysis             GBP  35000         43064
## 3231                  Data Analysis             USD  97750         97750
## 3232                  Data Analysis             USD  75000         75000
## 3233        Machine Learning and AI             USD 238000        238000
## 3234        Machine Learning and AI             USD 176000        176000
## 3235                  Data Analysis             USD 192000        192000
## 3236                  Data Analysis             USD  92000         92000
## 3237               Data Engineering             USD 195000        195000
## 3238               Data Engineering             USD 125000        125000
## 3239      Data Science and Research             USD 204500        204500
## 3240      Data Science and Research             USD 142200        142200
## 3241                  Data Analysis             USD 132600        132600
## 3242                  Data Analysis             USD  81500         81500
## 3243               Data Engineering             USD 202400        202400
## 3244               Data Engineering             USD 147200        147200
## 3245                  Data Analysis             USD 175000        175000
## 3246                  Data Analysis             USD 135000        135000
## 3247        Machine Learning and AI             USD 238000        238000
## 3248        Machine Learning and AI             USD 176000        176000
## 3249      Data Science and Research             USD 239000        239000
## 3250      Data Science and Research             USD 136000        136000
## 3251                  Data Analysis             USD  54000         54000
## 3252                  Data Analysis             USD  36000         36000
## 3253      Data Science and Research             USD 176000        176000
## 3254      Data Science and Research             USD 118720        118720
## 3255      Data Science and Research             USD 204500        204500
## 3256      Data Science and Research             USD 138900        138900
## 3257               Data Engineering             USD 140000        140000
## 3258               Data Engineering             USD  95000         95000
## 3259      Data Science and Research             USD 240000        240000
## 3260      Data Science and Research             USD 157000        157000
## 3261               Data Engineering             USD 165000        165000
## 3262               Data Engineering             USD 136000        136000
## 3263      Data Science and Research             USD 230000        230000
## 3264      Data Science and Research             USD 196000        196000
## 3265      Data Science and Research             USD 272300        272300
## 3266      Data Science and Research             USD 222800        222800
## 3267               Data Engineering             USD 167500        167500
## 3268               Data Engineering             USD 106500        106500
## 3269      Leadership and Management             USD 172750        172750
## 3270      Leadership and Management             USD  82500         82500
## 3271           BI and Visualization             USD 165600        165600
## 3272           BI and Visualization             USD  65800         65800
## 3273      Data Science and Research             USD 192000        192000
## 3274      Data Science and Research             USD 164000        164000
## 3275      Leadership and Management             USD 145000        145000
## 3276      Leadership and Management             USD 130000        130000
## 3277        Machine Learning and AI             USD 226600        226600
## 3278        Machine Learning and AI             USD 140100        140100
## 3279      Data Science and Research             USD 185900        185900
## 3280      Data Science and Research             USD 129300        129300
## 3281        Machine Learning and AI             USD 331640        331640
## 3282        Machine Learning and AI             USD 267720        267720
## 3283      Data Science and Research             USD 281000        281000
## 3284      Data Science and Research             USD 181000        181000
## 3285      Leadership and Management             USD 207611        207611
## 3286      Leadership and Management             USD 127876        127876
## 3287      Data Science and Research             USD 225000        225000
## 3288      Data Science and Research             USD 168000        168000
## 3289               Data Engineering             USD 280600        280600
## 3290               Data Engineering             USD 158600        158600
## 3291        Machine Learning and AI             USD 200000        200000
## 3292        Machine Learning and AI             USD 140000        140000
## 3293        Machine Learning and AI             USD 283780        283780
## 3294        Machine Learning and AI             USD 218540        218540
## 3295               Data Engineering             USD 178500        178500
## 3296               Data Engineering             USD 100000        100000
## 3297      Data Science and Research             USD 323300        323300
## 3298      Data Science and Research             USD 184700        184700
## 3299      Data Science and Research             USD 248100        248100
## 3300      Data Science and Research             USD 145900        145900
## 3301      Leadership and Management             GBP 100000        123040
## 3302      Leadership and Management             GBP  85000        104584
## 3303      Data Science and Research             USD 185000        185000
## 3304      Data Science and Research             USD 137700        137700
## 3305      Data Science and Research             USD 205500        205500
## 3306      Data Science and Research             USD 132500        132500
## 3307    Data Quality and Operations             USD  65100         65100
## 3308    Data Quality and Operations             USD  44640         44640
## 3309               Data Engineering             USD 181500        181500
## 3310               Data Engineering             USD 112200        112200
## 3311        Machine Learning and AI             USD 192000        192000
## 3312        Machine Learning and AI             USD 164000        164000
## 3313                  Data Analysis             USD 161000        161000
## 3314                  Data Analysis             USD 123000        123000
## 3315               Data Engineering             USD 247300        247300
## 3316               Data Engineering             USD 139700        139700
## 3317                  Data Analysis             USD 145000        145000
## 3318                  Data Analysis             USD 106000        106000
## 3319               Data Engineering             USD 200000        200000
## 3320               Data Engineering             USD 160000        160000
## 3321        Machine Learning and AI             USD 204600        204600
## 3322        Machine Learning and AI             USD 126500        126500
## 3323      Data Science and Research             USD 278700        278700
## 3324      Data Science and Research             USD 159300        159300
## 3325      Data Science and Research             USD 180000        180000
## 3326      Data Science and Research             USD 140000        140000
## 3327        Machine Learning and AI             USD 238000        238000
## 3328        Machine Learning and AI             USD 176000        176000
## 3329    Data Quality and Operations             USD 125000        125000
## 3330    Data Quality and Operations             USD  65000         65000
## 3331      Data Science and Research             USD 230000        230000
## 3332      Data Science and Research             USD 175000        175000
## 3333               Data Engineering             USD 130000        130000
## 3334               Data Engineering             USD 100000        100000
## 3335      Data Science and Research             USD 252990        252990
## 3336      Data Science and Research             USD 162170        162170
## 3337               Data Engineering             USD 183000        183000
## 3338               Data Engineering             USD 122000        122000
## 3339        Machine Learning and AI             USD 253000        253000
## 3340        Machine Learning and AI             USD 172040        172040
## 3341      Data Science and Research             USD 310270        310270
## 3342      Data Science and Research             USD 239080        239080
## 3343                  Data Analysis             USD  85000         85000
## 3344                  Data Analysis             USD  70000         70000
## 3345               Data Engineering             USD 135000        135000
## 3346               Data Engineering             USD 125000        125000
## 3347      Data Science and Research             USD 253000        253000
## 3348      Data Science and Research             USD 172040        172040
## 3349               Data Engineering             USD 135000        135000
## 3350               Data Engineering             USD 108000        108000
## 3351               Data Engineering             USD 225500        225500
## 3352               Data Engineering             USD 139400        139400
## 3353        Machine Learning and AI             EUR 120000        129562
## 3354                  Data Analysis             USD  50000         50000
## 3355        Machine Learning and AI             USD 227850        227850
## 3356        Machine Learning and AI             USD 180500        180500
## 3357                  Data Analysis             USD  90000         90000
## 3358                  Data Analysis             USD  70000         70000
## 3359               Data Engineering             USD 199000        199000
## 3360               Data Engineering             USD 159000        159000
## 3361      Leadership and Management             USD 350000        350000
## 3362      Leadership and Management             USD  80000         80000
## 3363        Machine Learning and AI             USD 240000        240000
## 3364        Machine Learning and AI             USD 160000        160000
## 3365               Data Engineering             USD 145000        145000
## 3366               Data Engineering             USD 115000        115000
## 3367                  Data Analysis             USD 107500        107500
## 3368                  Data Analysis             USD  96750         96750
## 3369        Machine Learning and AI             USD 174000        174000
## 3370        Machine Learning and AI             USD 104000        104000
## 3371        Machine Learning and AI             USD 275300        275300
## 3372        Machine Learning and AI             USD 183500        183500
## 3373      Data Science and Research             USD 250000        250000
## 3374      Data Science and Research             USD 225000        225000
## 3375               Data Engineering             USD 174350        174350
## 3376               Data Engineering             USD 126800        126800
## 3377        Machine Learning and AI             USD 284050        284050
## 3378        Machine Learning and AI             USD 193800        193800
## 3379               Data Engineering             USD 300000        300000
## 3380               Data Engineering             USD 200000        200000
## 3381               Data Engineering             USD 232989        232989
## 3382               Data Engineering             USD 140000        140000
## 3383                  Data Analysis             USD  85000         85000
## 3384        Machine Learning and AI             USD 204500        204500
## 3385        Machine Learning and AI             USD 142200        142200
## 3386               Data Engineering             USD 147100        147100
## 3387               Data Engineering             USD  90700         90700
## 3388                  Data Analysis             USD 140000        140000
## 3389                  Data Analysis             USD  95000         95000
## 3390                  Data Analysis             USD 204500        204500
## 3391                  Data Analysis             USD 138900        138900
## 3392 Data Architecture and Modeling             USD 168400        168400
## 3393 Data Architecture and Modeling             USD 105200        105200
## 3394      Data Science and Research             USD 205500        205500
## 3395      Data Science and Research             USD 132500        132500
## 3396      Data Science and Research             USD 147100        147100
## 3397      Data Science and Research             USD  90700         90700
## 3398        Machine Learning and AI             USD 247500        247500
## 3399        Machine Learning and AI             USD 172200        172200
## 3400                  Data Analysis             USD 192000        192000
## 3401                  Data Analysis             USD 138240        138240
## 3402               Data Engineering             USD 168400        168400
## 3403               Data Engineering             USD 105200        105200
## 3404      Leadership and Management             USD 150550        150550
## 3405      Leadership and Management             USD 116710        116710
## 3406      Data Science and Research             USD 180000        180000
## 3407      Data Science and Research             USD 162000        162000
## 3408        Machine Learning and AI             USD 226600        226600
## 3409        Machine Learning and AI             USD 140100        140100
## 3410           BI and Visualization             USD 147100        147100
## 3411           BI and Visualization             USD  90700         90700
## 3412      Data Science and Research             USD 175000        175000
## 3413      Data Science and Research             USD 120000        120000
## 3414 Data Architecture and Modeling             USD 147100        147100
## 3415 Data Architecture and Modeling             USD  90700         90700
## 3416 Data Architecture and Modeling             USD 168400        168400
## 3417 Data Architecture and Modeling             USD 105200        105200
## 3418      Leadership and Management             USD 125000        125000
## 3419      Leadership and Management             USD 100000        100000
## 3420      Data Science and Research             USD 198800        198800
## 3421      Data Science and Research             USD 105200        105200
## 3422      Leadership and Management             USD 115500        115500
## 3423      Leadership and Management             USD  73500         73500
## 3424               Data Engineering             USD 150600        150600
## 3425               Data Engineering             USD 120500        120500
## 3426               Data Engineering             USD 183000        183000
## 3427               Data Engineering             USD 140000        140000
## 3428           BI and Visualization             USD 167500        167500
## 3429           BI and Visualization             USD 106500        106500
## 3430      Leadership and Management             USD 175000        175000
## 3431      Leadership and Management             USD 125000        125000
## 3432        Machine Learning and AI             USD 239000        239000
## 3433        Machine Learning and AI             USD 149000        149000
## 3434           BI and Visualization             USD 128000        128000
## 3435           BI and Visualization             USD  81500         81500
## 3436      Data Science and Research             USD 185000        185000
## 3437      Data Science and Research             USD 122000        122000
## 3438           BI and Visualization             USD 202800        202800
## 3439           BI and Visualization             USD 104300        104300
## 3440               Data Engineering             USD 181500        181500
## 3441               Data Engineering             USD 127000        127000
## 3442   Data Management and Strategy             USD 186000        186000
## 3443   Data Management and Strategy             USD 138000        138000
## 3444      Data Science and Research             USD 185000        185000
## 3445      Data Science and Research             USD 122000        122000
## 3446      Data Science and Research             USD 196000        196000
## 3447      Data Science and Research             USD 142600        142600
## 3448      Data Science and Research             USD 205000        205000
## 3449      Data Science and Research             USD 150000        150000
## 3450           BI and Visualization             USD 140000        140000
## 3451           BI and Visualization             USD 112000        112000
## 3452                  Data Analysis             USD 139000        139000
## 3453                  Data Analysis             USD  85700         85700
## 3454      Data Science and Research             USD  36000         36000
## 3455               Data Engineering             USD 130000        130000
## 3456               Data Engineering             USD  91270         91270
## 3457      Data Science and Research             USD 226600        226600
## 3458      Data Science and Research             USD 140100        140100
## 3459           BI and Visualization             USD 225000        225000
## 3460           BI and Visualization             USD 156400        156400
## 3461      Data Science and Research             USD 222200        222200
## 3462      Data Science and Research             USD 136000        136000
## 3463 Data Architecture and Modeling             USD 180000        180000
## 3464 Data Architecture and Modeling             USD 165000        165000
## 3465      Data Science and Research             USD 247000        247000
## 3466      Data Science and Research             USD 118440        118440
## 3467      Leadership and Management             USD 145000        145000
## 3468      Leadership and Management             USD 130000        130000
## 3469      Data Science and Research             USD 204500        204500
## 3470      Data Science and Research             USD 138900        138900
## 3471        Machine Learning and AI             USD 297300        297300
## 3472        Machine Learning and AI             USD 198200        198200
## 3473      Data Science and Research             USD 172200        172200
## 3474      Data Science and Research             USD 131200        131200
## 3475      Data Science and Research             GBP  90000        110736
## 3476      Data Science and Research             GBP  70000         86128
## 3477           BI and Visualization             USD 204500        204500
## 3478           BI and Visualization             USD 138900        138900
## 3479   Data Management and Strategy             USD  87500         87500
## 3480   Data Management and Strategy             USD  62500         62500
## 3481      Data Science and Research             USD 244000        244000
## 3482      Data Science and Research             USD 157000        157000
## 3483               Data Engineering             USD 157550        157550
## 3484               Data Engineering             USD 104650        104650
## 3485      Data Science and Research             USD 136000        136000
## 3486      Data Science and Research             USD  90600         90600
## 3487               Data Engineering             GBP  40000         49216
## 3488               Data Engineering             GBP  35000         43064
## 3489        Machine Learning and AI             USD 160000        160000
## 3490               Data Engineering             EUR  85000         91773
## 3491                  Data Analysis             USD 120350        120350
## 3492                  Data Analysis             USD  74400         74400
## 3493      Data Science and Research             USD 281000        281000
## 3494      Data Science and Research             USD 181000        181000
## 3495               Data Engineering             USD 280600        280600
## 3496               Data Engineering             USD 158600        158600
## 3497        Machine Learning and AI             USD 315300        315300
## 3498        Machine Learning and AI             USD 210200        210200
## 3499      Leadership and Management             USD 177000        177000
## 3500      Leadership and Management             USD 110000        110000
## 3501           BI and Visualization             USD 185000        185000
## 3502           BI and Visualization             USD  79600         79600
## 3503                  Data Analysis             USD  65000         65000
## 3504                  Data Analysis             USD  55000         55000
## 3505      Data Science and Research             USD 250000        250000
## 3506      Data Science and Research             USD 160000        160000
## 3507      Data Science and Research             USD 183200        183200
## 3508      Data Science and Research             USD 122200        122200
## 3509                  Data Analysis             USD 100000        100000
## 3510                  Data Analysis             USD  75000         75000
## 3511                  Data Analysis             USD 185000        185000
## 3512                  Data Analysis             USD 145000        145000
## 3513      Data Science and Research             USD 150000        150000
## 3514      Data Science and Research             USD 131000        131000
## 3515      Data Science and Research             USD 101000        101000
## 3516               Data Engineering             USD 170000        170000
## 3517               Data Engineering             USD 130000        130000
## 3518           BI and Visualization             USD 171050        171050
## 3519           BI and Visualization             USD 124400        124400
## 3520           BI and Visualization             USD 135000        135000
## 3521           BI and Visualization             USD 110000        110000
## 3522      Data Science and Research             USD 187000        187000
## 3523      Data Science and Research             USD 128000        128000
## 3524      Leadership and Management             USD 177000        177000
## 3525      Leadership and Management             USD 110000        110000
## 3526                  Data Analysis             USD 138000        138000
## 3527                  Data Analysis             USD  92000         92000
## 3528               Data Engineering             USD 200000        200000
## 3529               Data Engineering             USD 160000        160000
## 3530 Data Architecture and Modeling             USD 138000        138000
## 3531 Data Architecture and Modeling             USD  92000         92000
## 3532      Data Science and Research             USD 140000        140000
## 3533      Data Science and Research             USD 120000        120000
## 3534           BI and Visualization             USD 241300        241300
## 3535           BI and Visualization             USD 124100        124100
## 3536      Data Science and Research             USD 185000        185000
## 3537      Data Science and Research             USD 152000        152000
## 3538                  Data Analysis             USD 138000        138000
## 3539                  Data Analysis             USD  92000         92000
## 3540               Data Engineering             USD 288000        288000
## 3541               Data Engineering             USD 160000        160000
## 3542                  Data Analysis             USD  93918         93918
## 3543                  Data Analysis             USD  51962         51962
## 3544               Data Engineering             EUR 100000        107968
## 3545               Data Engineering             EUR  83913         90599
## 3546      Data Science and Research             USD 189750        189750
## 3547      Data Science and Research             USD 145000        145000
## 3548               Data Engineering             USD 225500        225500
## 3549               Data Engineering             USD 139400        139400
## 3550                  Data Analysis             USD 130000        130000
## 3551                  Data Analysis             USD  95000         95000
## 3552      Data Science and Research             USD 359170        359170
## 3553      Data Science and Research             USD 310270        310270
## 3554               Data Engineering             USD 252000        252000
## 3555               Data Engineering             USD 140000        140000
## 3556      Data Science and Research             CAD 111024         82254
## 3557      Data Science and Research             CAD  83280         61699
## 3558           BI and Visualization             USD 247500        247500
## 3559           BI and Visualization             USD 172200        172200
## 3560           BI and Visualization             USD  87500         87500
## 3561           BI and Visualization             USD  62500         62500
## 3562      Leadership and Management             USD 146000        146000
## 3563      Leadership and Management             USD 108000        108000
## 3564      Data Science and Research             USD 204500        204500
## 3565      Data Science and Research             USD 142200        142200
## 3566                  Data Analysis             USD 138000        138000
## 3567                  Data Analysis             USD  92000         92000
## 3568      Data Science and Research             USD 273000        273000
## 3569      Data Science and Research             USD 166500        166500
## 3570      Data Science and Research             USD  65000         65000
## 3571      Data Science and Research             USD  45000         45000
## 3572               Data Engineering             USD 180000        180000
## 3573               Data Engineering             USD 150000        150000
## 3574      Data Science and Research             USD 174000        174000
## 3575      Data Science and Research             USD 139000        139000
## 3576      Data Science and Research             USD 212800        212800
## 3577      Data Science and Research             USD 124100        124100
## 3578        Machine Learning and AI             USD 247500        247500
## 3579        Machine Learning and AI             USD 172200        172200
## 3580      Data Science and Research             USD 189750        189750
## 3581      Data Science and Research             USD 119213        119213
## 3582      Leadership and Management             USD 190000        190000
## 3583      Leadership and Management             USD 140000        140000
## 3584        Machine Learning and AI             USD 228830        228830
## 3585        Machine Learning and AI             USD 148590        148590
## 3586        Machine Learning and AI             USD 140000        140000
## 3587        Machine Learning and AI             USD 180514        180514
## 3588        Machine Learning and AI             USD 108308        108308
## 3589        Machine Learning and AI             USD 220000        220000
## 3590        Machine Learning and AI             USD 170000        170000
## 3591           BI and Visualization             USD 169000        169000
## 3592           BI and Visualization             USD 110600        110600
## 3593               Data Engineering             USD 180514        180514
## 3594               Data Engineering             USD 108308        108308
## 3595               Data Engineering             USD 247300        247300
## 3596               Data Engineering             USD 139700        139700
## 3597               Data Engineering             EUR  72000         77737
## 3598               Data Engineering             EUR  59565         64311
## 3599      Data Science and Research             USD 205500        205500
## 3600      Data Science and Research             USD 132500        132500
## 3601                  Data Analysis             USD  75000         75000
## 3602                  Data Analysis             USD  65000         65000
## 3603               Data Engineering             USD 121000        121000
## 3604               Data Engineering             USD  78000         78000
## 3605               Data Engineering             USD 160000        160000
## 3606               Data Engineering             USD 145000        145000
## 3607               Data Engineering             EUR  70000         75577
## 3608               Data Engineering             EUR  57826         62433
## 3609      Data Science and Research             USD 238000        238000
## 3610      Data Science and Research             USD 156000        156000
## 3611                  Data Analysis             USD 204500        204500
## 3612                  Data Analysis             USD 138900        138900
## 3613        Machine Learning and AI             USD 204500        204500
## 3614        Machine Learning and AI             USD 142200        142200
## 3615               Data Engineering             USD 160000        160000
## 3616               Data Engineering             USD 120000        120000
## 3617               Data Engineering             USD 254000        254000
## 3618               Data Engineering             USD 200000        200000
## 3619      Data Science and Research             USD 228000        228000
## 3620      Data Science and Research             USD 136000        136000
## 3621      Data Science and Research             USD 233300        233300
## 3622      Data Science and Research             USD 155500        155500
## 3623           BI and Visualization             EUR  60000         64781
## 3624                  Data Analysis             USD  94000         94000
## 3625                  Data Analysis             USD  81900         81900
## 3626               Data Engineering             USD 190000        190000
## 3627               Data Engineering             USD 140000        140000
## 3628               Data Engineering             USD 199000        199000
## 3629               Data Engineering             USD 162000        162000
## 3630                  Data Analysis             GBP  75000         92280
## 3631                  Data Analysis             GBP  55000         67672
## 3632               Data Engineering             USD 208000        208000
## 3633               Data Engineering             USD 109500        109500
## 3634    Data Quality and Operations             USD 240000        240000
## 3635    Data Quality and Operations             USD 238530        238530
## 3636    Data Quality and Operations             USD  95000         95000
## 3637    Data Quality and Operations             USD  82000         82000
## 3638                  Data Analysis             USD  80000         80000
## 3639                  Data Analysis             USD  70000         70000
## 3640           BI and Visualization             USD 155000        155000
## 3641           BI and Visualization             USD 130000        130000
## 3642                  Data Analysis             USD 169000        169000
## 3643                  Data Analysis             USD 110600        110600
## 3644      Data Science and Research             USD 190000        190000
## 3645      Data Science and Research             USD 150000        150000
## 3646      Data Science and Research             USD 154700        154700
## 3647      Data Science and Research             USD 118900        118900
## 3648               Data Engineering             USD 232960        232960
## 3649               Data Engineering             USD 166400        166400
## 3650      Data Science and Research             USD 156000        156000
## 3651      Data Science and Research             USD 105000        105000
## 3652        Machine Learning and AI             USD 193000        193000
## 3653        Machine Learning and AI             USD 143000        143000
## 3654               Data Engineering             USD 190000        190000
## 3655               Data Engineering             USD 140000        140000
## 3656                  Data Analysis             USD 138860        138860
## 3657                  Data Analysis             USD 119610        119610
## 3658      Data Science and Research             USD 205485        205485
## 3659      Data Science and Research             USD 156560        156560
## 3660      Data Science and Research             USD 230000        230000
## 3661      Data Science and Research             USD 175000        175000
## 3662        Machine Learning and AI             USD 210600        210600
## 3663        Machine Learning and AI             USD 135000        135000
## 3664      Data Science and Research             USD 265000        265000
## 3665      Data Science and Research             USD 153000        153000
## 3666      Leadership and Management             USD 260000        260000
## 3667      Leadership and Management             USD 170000        170000
## 3668               Data Engineering             USD 105000        105000
## 3669               Data Engineering             USD  65000         65000
## 3670               Data Engineering             USD 157550        157550
## 3671               Data Engineering             USD 104650        104650
## 3672           BI and Visualization             USD 225000        225000
## 3673           BI and Visualization             USD 156400        156400
## 3674                  Data Analysis             USD 150000        150000
## 3675                  Data Analysis             USD 125000        125000
## 3676      Data Science and Research             USD 135000        135000
## 3677      Data Science and Research             USD 100000        100000
## 3678                  Data Analysis             USD 100000        100000
## 3679                  Data Analysis             USD  59000         59000
## 3680      Data Science and Research             GBP  57000         70132
## 3681      Data Science and Research             GBP  42000         51676
## 3682      Data Science and Research             GBP  75000         92280
## 3683      Data Science and Research             GBP  65000         79976
## 3684           BI and Visualization             USD  15000         15000
## 3685      Data Science and Research             EUR  60000         64781
## 3686      Data Science and Research             USD 225000        225000
## 3687      Data Science and Research             USD 156400        156400
## 3688                  Data Analysis             USD 144100        144100
## 3689                  Data Analysis             USD  89100         89100
## 3690               Data Engineering             USD 185900        185900
## 3691               Data Engineering             USD 129300        129300
## 3692      Leadership and Management             USD 177000        177000
## 3693      Leadership and Management             USD 110000        110000
## 3694      Data Science and Research             USD 140000        140000
## 3695      Data Science and Research             USD 100000        100000
## 3696      Data Science and Research             USD 145000        145000
## 3697      Data Science and Research             USD 115000        115000
## 3698               Data Engineering             USD 193600        193600
## 3699               Data Engineering             USD 119700        119700
## 3700                  Data Analysis             USD  94000         94000
## 3701                  Data Analysis             USD  81900         81900
## 3702      Data Science and Research             USD 164000        164000
## 3703      Data Science and Research             USD 130000        130000
## 3704               Data Engineering             USD 190000        190000
## 3705               Data Engineering             USD 140000        140000
## 3706      Data Science and Research             EUR 122000        131721
## 3707      Data Science and Research             USD 323300        323300
## 3708      Data Science and Research             USD 184700        184700
## 3709        Machine Learning and AI             USD 180000        180000
## 3710        Machine Learning and AI             USD 120000        120000
## 3711                  Data Analysis             USD  93918         93918
## 3712                  Data Analysis             USD  51962         51962
## 3713      Data Science and Research             USD 150000        150000
## 3714      Data Science and Research             USD 130000        130000
## 3715               Data Engineering             USD 242000        242000
## 3716               Data Engineering             USD 134000        134000
## 3717 Data Architecture and Modeling             USD 104000        104000
## 3718 Data Architecture and Modeling             USD  86000         86000
## 3719        Machine Learning and AI             USD 258800        258800
## 3720        Machine Learning and AI             USD 199200        199200
## 3721      Data Science and Research             USD 201000        201000
## 3722      Data Science and Research             USD 122000        122000
## 3723                  Data Analysis             USD 110000        110000
## 3724                  Data Analysis             USD  90000         90000
## 3725      Data Science and Research             USD 141100        141100
## 3726      Data Science and Research             USD  94100         94100
## 3727               Data Engineering             USD 210000        210000
## 3728               Data Engineering             USD 165000        165000
## 3729               Data Engineering             USD 185900        185900
## 3730               Data Engineering             USD 129300        129300
## 3731      Data Science and Research             USD 140000        140000
## 3732      Data Science and Research             USD 126000        126000
## 3733      Data Science and Research             USD 170000        170000
## 3734      Data Science and Research             USD 130000        130000
## 3735               Data Engineering             GBP  85000        104584
## 3736               Data Engineering             GBP  75000         92280
## 3737      Leadership and Management             USD 208500        208500
## 3738      Leadership and Management             USD 165000        165000
## 3739               Data Engineering             EUR  72000         77737
## 3740               Data Engineering             EUR  80000         86374
## 3741           BI and Visualization             USD 169000        169000
## 3742           BI and Visualization             USD 110600        110600
## 3743      Data Science and Research             USD 185900        185900
## 3744      Data Science and Research             USD 129300        129300
## 3745      Data Science and Research             USD 225000        225000
## 3746      Data Science and Research             USD 156400        156400
## 3747        Machine Learning and AI             USD 309000        309000
## 3748        Machine Learning and AI             USD 142000        142000
## 3749      Data Science and Research             USD 225000        225000
## 3750      Data Science and Research             USD 156400        156400
## 3751                  Data Analysis             USD 204500        204500
## 3752                  Data Analysis             USD 138900        138900
## 3753      Data Science and Research             USD 185900        185900
## 3754      Data Science and Research             USD 129300        129300
## 3755        Machine Learning and AI             USD 323300        323300
## 3756        Machine Learning and AI             USD 184700        184700
## 3757        Machine Learning and AI             USD 247500        247500
## 3758        Machine Learning and AI             USD 172200        172200
## 3759      Data Science and Research             USD 204500        204500
## 3760      Data Science and Research             USD 142200        142200
## 3761           BI and Visualization             USD 135000        135000
## 3762           BI and Visualization             USD 110000        110000
## 3763        Machine Learning and AI             USD 180514        180514
## 3764        Machine Learning and AI             USD 108308        108308
## 3765           BI and Visualization             USD 118800        118800
## 3766           BI and Visualization             USD  75000         75000
## 3767      Leadership and Management             USD 145000        145000
## 3768      Leadership and Management             USD 130000        130000
## 3769               Data Engineering             USD 180514        180514
## 3770               Data Engineering             USD 108308        108308
## 3771        Machine Learning and AI             USD 193600        193600
## 3772        Machine Learning and AI             USD 119700        119700
## 3773           BI and Visualization             USD 130800        130800
## 3774           BI and Visualization             USD  87200         87200
## 3775               Data Engineering             USD 215000        215000
## 3776               Data Engineering             USD 150000        150000
## 3777           BI and Visualization             USD 247500        247500
## 3778           BI and Visualization             USD 172200        172200
## 3779      Data Science and Research             GBP  50000         61520
## 3780      Data Science and Research             GBP  40000         49216
## 3781        Machine Learning and AI             USD 204500        204500
## 3782        Machine Learning and AI             USD 142200        142200
## 3783                  Data Analysis             USD 169000        169000
## 3784                  Data Analysis             USD 110600        110600
## 3785        Machine Learning and AI             USD 204500        204500
## 3786        Machine Learning and AI             USD 142200        142200
## 3787        Machine Learning and AI             USD 238000        238000
## 3788        Machine Learning and AI             USD 173000        173000
## 3789           BI and Visualization             USD 225000        225000
## 3790           BI and Visualization             USD 156400        156400
## 3791        Machine Learning and AI             USD 204500        204500
## 3792        Machine Learning and AI             USD 142200        142200
## 3793      Data Science and Research             USD 225000        225000
## 3794      Data Science and Research             USD 156400        156400
## 3795      Data Science and Research             USD 185900        185900
## 3796      Data Science and Research             USD 129300        129300
## 3797               Data Engineering             USD 205785        205785
## 3798               Data Engineering             USD 123471        123471
## 3799      Data Science and Research             USD 299500        299500
## 3800      Data Science and Research             USD 245100        245100
## 3801      Data Science and Research             USD 153600        153600
## 3802      Data Science and Research             USD 106800        106800
## 3803        Machine Learning and AI             USD  40000         40000
## 3804      Data Science and Research             EUR  66000         71259
## 3805      Data Science and Research             USD 125000        125000
## 3806      Data Science and Research             USD  90000         90000
## 3807        Machine Learning and AI             USD 290000        290000
## 3808        Machine Learning and AI             USD 226000        226000
## 3809      Data Science and Research             USD 222200        222200
## 3810      Data Science and Research             USD 136000        136000
## 3811      Data Science and Research             USD 161000        161000
## 3812      Data Science and Research             USD 151000        151000
## 3813                  Data Analysis             EUR  49200         53120
## 3814                  Data Analysis             EUR  36000         38868
## 3815               Data Engineering             USD 136994        136994
## 3816               Data Engineering             USD 101570        101570
## 3817      Data Science and Research             USD 214500        214500
## 3818      Data Science and Research             USD 150000        150000
## 3819      Leadership and Management             USD 150000        150000
## 3820      Leadership and Management             USD 120000        120000
## 3821               Data Engineering             USD 278300        278300
## 3822               Data Engineering             USD 205700        205700
## 3823      Data Science and Research             USD 185900        185900
## 3824      Data Science and Research             USD 167310        167310
## 3825               Data Engineering             USD 114000        114000
## 3826               Data Engineering             USD 100000        100000
## 3827      Data Science and Research             USD 260000        260000
## 3828      Data Science and Research             USD 136000        136000
## 3829               Data Engineering             USD 162000        162000
## 3830               Data Engineering             USD 111000        111000
## 3831               Data Engineering             USD 225500        225500
## 3832               Data Engineering             USD 139400        139400
## 3833      Data Science and Research             USD 225000        225000
## 3834      Data Science and Research             USD 156400        156400
## 3835      Leadership and Management             USD 177000        177000
## 3836      Leadership and Management             USD 110000        110000
## 3837                  Data Analysis             USD 120350        120350
## 3838                  Data Analysis             USD  74400         74400
## 3839               Data Engineering             USD 194000        194000
## 3840               Data Engineering             USD 161000        161000
## 3841      Data Science and Research             EUR  30000         32390
## 3842        Machine Learning and AI             USD 184950        184950
## 3843        Machine Learning and AI             USD 119250        119250
## 3844               Data Engineering             USD 178500        178500
## 3845               Data Engineering             USD 136000        136000
## 3846        Machine Learning and AI             USD 189000        189000
## 3847        Machine Learning and AI             USD 159090        159090
## 3848               Data Engineering             USD  91000         91000
## 3849               Data Engineering             USD  82000         82000
## 3850               Data Engineering             USD 149076        149076
## 3851               Data Engineering             USD  82365         82365
## 3852      Data Science and Research             USD 192000        192000
## 3853      Data Science and Research             USD 164000        164000
## 3854      Data Science and Research             USD 175000        175000
## 3855      Data Science and Research             USD 125000        125000
## 3856               Data Engineering             USD 194595        194595
## 3857               Data Engineering             USD 158000        158000
## 3858               Data Engineering             USD 240500        240500
## 3859               Data Engineering             USD 123700        123700
## 3860      Data Science and Research             USD 212800        212800
## 3861      Data Science and Research             USD 111600        111600
## 3862      Data Science and Research             USD 257400        257400
## 3863      Data Science and Research             USD 193500        193500
## 3864        Machine Learning and AI             USD 305000        305000
## 3865        Machine Learning and AI             USD 245000        245000
## 3866      Data Science and Research             USD 205485        205485
## 3867      Data Science and Research             USD 156560        156560
## 3868                  Data Analysis             USD 168000        168000
## 3869                  Data Analysis             USD  78400         78400
## 3870        Machine Learning and AI             USD 260000        260000
## 3871        Machine Learning and AI             USD 175000        175000
## 3872               Data Engineering             USD 130002        130002
## 3873               Data Engineering             USD  71908         71908
## 3874                  Data Analysis             USD 212000        212000
## 3875                  Data Analysis             USD 132000        132000
## 3876                  Data Analysis             USD 177000        177000
## 3877                  Data Analysis             USD 110000        110000
## 3878      Data Science and Research             USD 164000        164000
## 3879      Data Science and Research             USD 130000        130000
## 3880      Data Science and Research             USD 185900        185900
## 3881      Data Science and Research             USD 129300        129300
## 3882      Data Science and Research             USD 248100        248100
## 3883      Data Science and Research             USD 145900        145900
## 3884                  Data Analysis             USD 148000        148000
## 3885                  Data Analysis             USD  92000         92000
## 3886      Data Science and Research             USD 248100        248100
## 3887      Data Science and Research             USD 145900        145900
## 3888      Leadership and Management             USD 155000        155000
## 3889      Leadership and Management             USD  38000         38000
## 3890        Machine Learning and AI             USD 218000        218000
## 3891        Machine Learning and AI             USD 115000        115000
## 3892 Data Architecture and Modeling             USD 104000        104000
## 3893 Data Architecture and Modeling             USD  86000         86000
## 3894      Leadership and Management             USD 235400        235400
## 3895      Leadership and Management             USD 108320        108320
## 3896    Data Quality and Operations             USD  95000         95000
## 3897    Data Quality and Operations             USD  82000         82000
## 3898               Data Engineering             USD 152375        152375
## 3899               Data Engineering             USD  94000         94000
## 3900                  Data Analysis             USD 115934        115934
## 3901                  Data Analysis             USD  81666         81666
## 3902                  Data Analysis             USD 110000        110000
## 3903                  Data Analysis             USD  79000         79000
## 3904      Data Science and Research             USD 273400        273400
## 3905      Data Science and Research             USD 182200        182200
## 3906                  Data Analysis             USD 160000        160000
## 3907                  Data Analysis             USD 112000        112000
## 3908      Data Science and Research             USD 285000        285000
## 3909      Data Science and Research             USD 154000        154000
## 3910      Data Science and Research             USD 220000        220000
## 3911      Data Science and Research             USD 170000        170000
## 3912               Data Engineering             USD 174500        174500
## 3913               Data Engineering             USD 113000        113000
## 3914               Data Engineering             USD 225000        225000
## 3915               Data Engineering             USD 125000        125000
## 3916               Data Engineering             USD 200000        200000
## 3917               Data Engineering             USD 180000        180000
## 3918      Data Science and Research             USD 250000        250000
## 3919      Data Science and Research             USD 125000        125000
## 3920                  Data Analysis             USD 110000        110000
## 3921                  Data Analysis             USD  90000         90000
## 3922      Data Science and Research             USD 275000        275000
## 3923      Data Science and Research             USD 200000        200000
## 3924      Data Science and Research             USD 275000        275000
## 3925      Data Science and Research             USD 200000        200000
## 3926        Machine Learning and AI             USD 258800        258800
## 3927        Machine Learning and AI             USD 199200        199200
## 3928      Data Science and Research             USD 177000        177000
## 3929      Data Science and Research             USD 136000        136000
## 3930                  Data Analysis             USD 110000        110000
## 3931                  Data Analysis             USD  80000         80000
## 3932                  Data Analysis             USD 115000        115000
## 3933                  Data Analysis             USD  75000         75000
## 3934                  Data Analysis             USD 138860        138860
## 3935                  Data Analysis             USD 122720        122720
## 3936      Data Science and Research             USD 140000        140000
## 3937      Data Science and Research             USD 126000        126000
## 3938               Data Engineering             USD 231500        231500
## 3939               Data Engineering             USD 118000        118000
## 3940      Data Science and Research             USD 299500        299500
## 3941      Data Science and Research             USD 249600        249600
## 3942           BI and Visualization             USD 185000        185000
## 3943           BI and Visualization             USD  79600         79600
## 3944        Machine Learning and AI             USD 193600        193600
## 3945        Machine Learning and AI             USD 119700        119700
## 3946               Data Engineering             USD 240500        240500
## 3947               Data Engineering             USD 123700        123700
## 3948               Data Engineering             USD 120000        120000
## 3949               Data Engineering             USD 110000        110000
## 3950                  Data Analysis             USD 100000        100000
## 3951                  Data Analysis             USD  75000         75000
## 3952        Machine Learning and AI             USD 297000        297000
## 3953        Machine Learning and AI             USD 138000        138000
## 3954      Data Science and Research             USD 135000        135000
## 3955      Data Science and Research             USD 105000        105000
## 3956      Data Science and Research             USD 267100        267100
## 3957      Data Science and Research             USD 167200        167200
## 3958      Data Science and Research             USD 202000        202000
## 3959      Data Science and Research             USD 140000        140000
## 3960               Data Engineering             USD 174350        174350
## 3961               Data Engineering             USD 126800        126800
## 3962        Machine Learning and AI             USD 258800        258800
## 3963        Machine Learning and AI             USD 199200        199200
## 3964 Data Architecture and Modeling             USD 188500        188500
## 3965 Data Architecture and Modeling             USD 117000        117000
## 3966      Data Science and Research             USD 150931        150931
## 3967      Data Science and Research             USD 143250        143250
## 3968        Machine Learning and AI             USD 330000        330000
## 3969        Machine Learning and AI             USD 204000        204000
## 3970        Machine Learning and AI             USD 247500        247500
## 3971        Machine Learning and AI             USD 172200        172200
## 3972               Data Engineering             USD 200000        200000
## 3973               Data Engineering             USD 160000        160000
## 3974               Data Engineering             USD 205600        205600
## 3975               Data Engineering             USD 105700        105700
## 3976        Machine Learning and AI             USD 324000        324000
## 3977        Machine Learning and AI             USD 159000        159000
## 3978               Data Engineering             USD 231000        231000
## 3979               Data Engineering             USD 157250        157250
## 3980        Machine Learning and AI             USD 240000        240000
## 3981        Machine Learning and AI             USD 157250        157250
## 3982               Data Engineering             USD 232000        232000
## 3983               Data Engineering             USD 108000        108000
## 3984      Leadership and Management             USD 145000        145000
## 3985      Leadership and Management             USD 130000        130000
## 3986      Data Science and Research             USD 277300        277300
## 3987      Data Science and Research             USD 213300        213300
## 3988      Data Science and Research             USD 180000        180000
## 3989      Data Science and Research             USD 135000        135000
## 3990               Data Engineering             USD 209000        209000
## 3991               Data Engineering             USD 135000        135000
## 3992      Data Science and Research             USD 260000        260000
## 3993      Data Science and Research             USD 136000        136000
## 3994               Data Engineering             USD 209000        209000
## 3995               Data Engineering             USD 135000        135000
## 3996      Data Science and Research             USD 184250        184250
## 3997      Data Science and Research             USD 167500        167500
## 3998               Data Engineering             USD  95000         95000
## 3999               Data Engineering             USD  85000         85000
## 4000      Data Science and Research             USD 230000        230000
## 4001      Data Science and Research             USD 175000        175000
## 4002        Machine Learning and AI             GBP  90000        110736
## 4003        Machine Learning and AI             GBP  75000         92280
## 4004                  Data Analysis             USD 154440        154440
## 4005                  Data Analysis             USD  68550         68550
## 4006                  Data Analysis             USD  90000         90000
## 4007                  Data Analysis             USD  60000         60000
## 4008               Data Engineering             USD 226600        226600
## 4009               Data Engineering             USD 140100        140100
## 4010           BI and Visualization             USD 169000        169000
## 4011           BI and Visualization             USD 110600        110600
## 4012           BI and Visualization             USD 171050        171050
## 4013           BI and Visualization             USD 124400        124400
## 4014               Data Engineering             USD 225500        225500
## 4015               Data Engineering             USD 139400        139400
## 4016        Machine Learning and AI             USD 226600        226600
## 4017        Machine Learning and AI             USD 140100        140100
## 4018               Data Engineering             USD 162000        162000
## 4019               Data Engineering             USD 111000        111000
## 4020                  Data Analysis             GBP  40000         49216
## 4021                  Data Analysis             GBP  34000         41833
## 4022      Data Science and Research             USD 136000        136000
## 4023      Data Science and Research             USD 104000        104000
## 4024 Data Architecture and Modeling             USD  80000         80000
## 4025 Data Architecture and Modeling             USD  52500         52500
## 4026               Data Engineering             USD 150000        150000
## 4027               Data Engineering             USD 115000        115000
## 4028      Data Science and Research             USD 253000        253000
## 4029      Data Science and Research             USD 156400        156400
## 4030        Machine Learning and AI             USD 300000        300000
## 4031        Machine Learning and AI             USD 235000        235000
## 4032                  Data Analysis             USD 223100        223100
## 4033                  Data Analysis             USD 114700        114700
## 4034                  Data Analysis             USD 172800        172800
## 4035                  Data Analysis             USD 110000        110000
## 4036                  Data Analysis             USD  95000         95000
## 4037                  Data Analysis             USD  70000         70000
## 4038      Data Science and Research             USD 180000        180000
## 4039      Data Science and Research             USD 120000        120000
## 4040               Data Engineering             USD 152375        152375
## 4041               Data Engineering             USD  94000         94000
## 4042               Data Engineering             USD 183000        183000
## 4043               Data Engineering             USD 125000        125000
## 4044      Data Science and Research             USD 185900        185900
## 4045      Data Science and Research             USD 129300        129300
## 4046                  Data Analysis             USD 120350        120350
## 4047                  Data Analysis             USD  74400         74400
## 4048                  Data Analysis             USD 134000        134000
## 4049                  Data Analysis             USD 120000        120000
## 4050               Data Engineering             EUR  52800         57007
## 4051               Data Engineering             EUR  40800         44051
## 4052               Data Engineering             USD 258750        258750
## 4053               Data Engineering             USD 172500        172500
## 4054        Machine Learning and AI             USD 254000        254000
## 4055        Machine Learning and AI             USD 200000        200000
## 4056      Data Science and Research             USD 153600        153600
## 4057      Data Science and Research             USD 106800        106800
## 4058      Data Science and Research             USD 230000        230000
## 4059      Data Science and Research             USD 196000        196000
## 4060      Data Science and Research             USD 185900        185900
## 4061      Data Science and Research             USD 129300        129300
## 4062           BI and Visualization             USD 128000        128000
## 4063           BI and Visualization             USD  81500         81500
## 4064               Data Engineering             USD 220000        220000
## 4065               Data Engineering             USD 150000        150000
## 4066        Machine Learning and AI             USD 226600        226600
## 4067        Machine Learning and AI             USD 140100        140100
## 4068      Data Science and Research             USD 248100        248100
## 4069      Data Science and Research             USD 145900        145900
## 4070               Data Engineering             USD 155000        155000
## 4071               Data Engineering             USD 109528        109528
## 4072        Machine Learning and AI             USD 287500        287500
## 4073        Machine Learning and AI             USD 207500        207500
## 4074      Data Science and Research             USD 248100        248100
## 4075      Data Science and Research             USD 145900        145900
## 4076                  Data Analysis             USD 134200        134200
## 4077                  Data Analysis             USD 103200        103200
## 4078               Data Engineering             USD 240500        240500
## 4079               Data Engineering             USD 123700        123700
## 4080      Data Science and Research             USD 192000        192000
## 4081      Data Science and Research             USD 164000        164000
## 4082        Machine Learning and AI             USD 269500        269500
## 4083        Machine Learning and AI             USD 166600        166600
## 4084      Data Science and Research             USD 160000        160000
## 4085                  Data Analysis             USD  93919         93919
## 4086                  Data Analysis             USD  51962         51962
## 4087                  Data Analysis             USD  93919         93919
## 4088                  Data Analysis             USD  51962         51962
## 4089 Data Architecture and Modeling             USD 180000        180000
## 4090 Data Architecture and Modeling             USD 115000        115000
## 4091                  Data Analysis             USD 186600        186600
## 4092                  Data Analysis             USD 119800        119800
## 4093               Data Engineering             USD 160000        160000
## 4094               Data Engineering             USD  75000         75000
## 4095 Data Architecture and Modeling             USD 200000        200000
## 4096 Data Architecture and Modeling             USD 115000        115000
## 4097                  Data Analysis             USD 280000        280000
## 4098                  Data Analysis             USD 200000        200000
## 4099      Data Science and Research             USD 260000        260000
## 4100      Data Science and Research             USD 136000        136000
## 4101        Machine Learning and AI             USD 383910        383910
## 4102        Machine Learning and AI             USD 315850        315850
## 4103      Data Science and Research             USD 235000        235000
## 4104      Data Science and Research             USD 204000        204000
## 4105        Machine Learning and AI             USD 254000        254000
## 4106        Machine Learning and AI             USD 200000        200000
## 4107      Data Science and Research             USD 198000        198000
## 4108      Data Science and Research             USD 132000        132000
## 4109      Data Science and Research             USD 141600        141600
## 4110      Data Science and Research             USD  94400         94400
## 4111               Data Engineering             USD 135000        135000
## 4112               Data Engineering             USD 108000        108000
## 4113      Data Science and Research             USD 209450        209450
## 4114      Data Science and Research             USD 167560        167560
## 4115        Machine Learning and AI             USD 185000        185000
## 4116      Data Science and Research             USD 164000        164000
## 4117               Data Engineering             USD 122000        122000
## 4118               Data Engineering             USD  94000         94000
## 4119               Data Engineering             USD  80000         80000
## 4120               Data Engineering             USD  52500         52500
## 4121      Data Science and Research             USD 238000        238000
## 4122      Data Science and Research             USD 149500        149500
## 4123      Data Science and Research             USD 258000        258000
## 4124      Data Science and Research             USD 202000        202000
## 4125               Data Engineering             USD 186600        186600
## 4126               Data Engineering             USD 116500        116500
## 4127               Data Engineering             USD 220000        220000
## 4128               Data Engineering             USD 160000        160000
## 4129      Data Science and Research             USD 222200        222200
## 4130      Data Science and Research             USD 136000        136000
## 4131      Data Science and Research             USD 228000        228000
## 4132      Data Science and Research             USD 136000        136000
## 4133               Data Engineering             GBP  50000         61520
## 4134               Data Engineering             GBP  35000         43064
## 4135      Data Science and Research             USD 175000        175000
## 4136      Data Science and Research             USD 145000        145000
## 4137                  Data Analysis             USD 195000        195000
## 4138                  Data Analysis             USD 140000        140000
## 4139               Data Engineering             USD 180000        180000
## 4140               Data Engineering             USD 165000        165000
## 4141      Data Science and Research             USD 220000        220000
## 4142      Data Science and Research             USD 190000        190000
## 4143        Machine Learning and AI             EUR 105000        113366
## 4144               Data Engineering             CAD 160000        118539
## 4145                  Data Analysis             GBP  70000         86128
## 4146           BI and Visualization             USD 167500        167500
## 4147           BI and Visualization             USD 106500        106500
## 4148        Machine Learning and AI             USD 146000        146000
## 4149        Machine Learning and AI             USD  97400         97400
## 4150      Data Science and Research             USD 278700        278700
## 4151      Data Science and Research             USD 159300        159300
## 4152               Data Engineering             USD 226600        226600
## 4153               Data Engineering             USD 140100        140100
## 4154      Data Science and Research             USD 323300        323300
## 4155      Data Science and Research             USD 184700        184700
## 4156               Data Engineering             USD 135000        135000
## 4157               Data Engineering             USD 108000        108000
## 4158                  Data Analysis             CAD  55000         40747
## 4159               Data Engineering             USD 170000        170000
## 4160               Data Engineering             USD 120000        120000
## 4161               Data Engineering             USD 166364        166364
## 4162               Data Engineering             USD 116455        116455
## 4163           BI and Visualization             USD 145000        145000
## 4164           BI and Visualization             USD 125000        125000
## 4165        Machine Learning and AI             USD 184950        184950
## 4166        Machine Learning and AI             USD 119250        119250
## 4167               Data Engineering             USD  95000         95000
## 4168               Data Engineering             USD  76000         76000
## 4169               Data Engineering             USD  80000         80000
## 4170               Data Engineering             USD  52500         52500
## 4171                  Data Analysis             USD 160000        160000
## 4172                  Data Analysis             USD 131000        131000
## 4173      Data Science and Research             USD 168000        168000
## 4174      Data Science and Research             USD 130000        130000
## 4175        Machine Learning and AI             USD 250000        250000
## 4176        Machine Learning and AI             USD 140000        140000
## 4177               Data Engineering             USD 145000        145000
## 4178               Data Engineering             USD 115000        115000
## 4179      Data Science and Research             USD 222000        222000
## 4180      Data Science and Research             USD 166500        166500
## 4181               Data Engineering             USD 205600        205600
## 4182               Data Engineering             USD 105700        105700
## 4183      Data Science and Research             USD 136000        136000
## 4184      Data Science and Research             USD 104000        104000
## 4185           BI and Visualization             USD 138000        138000
## 4186           BI and Visualization             USD  67000         67000
## 4187      Data Science and Research             USD 211200        211200
## 4188      Data Science and Research             USD 176000        176000
## 4189                  Data Analysis             USD 230000        230000
## 4190                  Data Analysis             USD 135000        135000
## 4191                  Data Analysis             USD  80000         80000
## 4192                  Data Analysis             USD  60000         60000
## 4193           BI and Visualization             USD 200000        200000
## 4194           BI and Visualization             USD 180000        180000
## 4195           BI and Visualization             TRY 360000         18381
## 4196      Data Science and Research             USD 155000        155000
## 4197      Data Science and Research             USD 139500        139500
## 4198           BI and Visualization             USD 128000        128000
## 4199           BI and Visualization             USD  81500         81500
## 4200      Data Science and Research             USD 200000        200000
## 4201      Data Science and Research             USD 120000        120000
## 4202      Data Science and Research             USD 126500        126500
## 4203      Data Science and Research             USD  78000         78000
## 4204      Data Science and Research             USD 157750        157750
## 4205      Data Science and Research             USD 104650        104650
## 4206      Data Science and Research             USD 176000        176000
## 4207      Data Science and Research             USD 133000        133000
## 4208                  Data Analysis             USD 120000        120000
## 4209                  Data Analysis             USD 100000        100000
## 4210        Machine Learning and AI             USD  70000         70000
## 4211        Machine Learning and AI             USD  40000         40000
## 4212      Data Science and Research             USD 190000        190000
## 4213      Data Science and Research             USD 158080        158080
## 4214                  Data Analysis             USD 182000        182000
## 4215                  Data Analysis             USD 150000        150000
## 4216               Data Engineering             USD 171250        171250
## 4217               Data Engineering             USD 113750        113750
## 4218               Data Engineering             USD 252000        252000
## 4219               Data Engineering             USD 129000        129000
## 4220        Machine Learning and AI             USD 231000        231000
## 4221        Machine Learning and AI             USD 200800        200800
## 4222      Data Science and Research             USD 250800        250800
## 4223      Data Science and Research             USD 167200        167200
## 4224      Data Science and Research             USD 250800        250800
## 4225      Data Science and Research             USD 167200        167200
## 4226      Data Science and Research             USD 159100        159100
## 4227      Data Science and Research             USD 120160        120160
## 4228      Leadership and Management             USD 140000        140000
## 4229      Leadership and Management             USD 110000        110000
## 4230        Machine Learning and AI             USD 165000        165000
## 4231        Machine Learning and AI             USD 149094        149094
## 4232      Leadership and Management             USD 290000        290000
## 4233           BI and Visualization             USD 247500        247500
## 4234           BI and Visualization             USD 172200        172200
## 4235               Data Engineering             USD 175000        175000
## 4236               Data Engineering             USD 130000        130000
## 4237      Data Science and Research             USD 225000        225000
## 4238      Data Science and Research             USD 156400        156400
## 4239      Data Science and Research             USD 260000        260000
## 4240      Data Science and Research             USD 136000        136000
## 4241                  Data Analysis             USD  85000         85000
## 4242                  Data Analysis             USD  72250         72250
## 4243               Data Engineering             USD 162500        162500
## 4244               Data Engineering             USD 130000        130000
## 4245      Leadership and Management             USD 145000        145000
## 4246      Leadership and Management             USD 130000        130000
## 4247               Data Engineering             USD 205600        205600
## 4248               Data Engineering             USD 105700        105700
## 4249    Data Quality and Operations             EUR  22000         23753
## 4250      Data Science and Research             USD  83000         83000
## 4251      Data Science and Research             USD  63967         63967
## 4252      Data Science and Research             USD 188600        188600
## 4253      Data Science and Research             USD 111550        111550
## 4254        Machine Learning and AI             USD 219300        219300
## 4255        Machine Learning and AI             USD 143000        143000
## 4256        Machine Learning and AI             USD 232200        232200
## 4257        Machine Learning and AI             USD 133300        133300
## 4258               Data Engineering             USD 130000        130000
## 4259               Data Engineering             USD  80000         80000
## 4260        Machine Learning and AI             EUR 189000        204060
## 4261        Machine Learning and AI             EUR 130000        140358
## 4262               Data Engineering             USD 198900        198900
## 4263               Data Engineering             USD 183310        183310
## 4264      Data Science and Research             GBP  35000         43064
## 4265      Data Science and Research             GBP  35000         43064
## 4266        Machine Learning and AI             USD 204500        204500
## 4267        Machine Learning and AI             USD 142200        142200
## 4268        Machine Learning and AI             USD 392000        392000
## 4269        Machine Learning and AI             USD 224000        224000
## 4270               Data Engineering             USD 233000        233000
## 4271               Data Engineering             USD 199098        199098
## 4272               Data Engineering             USD 172000        172000
## 4273               Data Engineering             USD 107000        107000
## 4274                  Data Analysis             USD  93919         93919
## 4275                  Data Analysis             USD  51962         51962
## 4276      Data Science and Research             USD 220000        220000
## 4277      Data Science and Research             USD 150000        150000
## 4278               Data Engineering             USD 128000        128000
## 4279               Data Engineering             USD  81500         81500
## 4280      Data Science and Research             USD 200000        200000
## 4281      Data Science and Research             USD 150000        150000
## 4282        Machine Learning and AI             USD 208450        208450
## 4283        Machine Learning and AI             USD 151600        151600
## 4284        Machine Learning and AI             USD 208450        208450
## 4285        Machine Learning and AI             USD 151600        151600
## 4286      Data Science and Research             USD 240960        240960
## 4287      Data Science and Research             USD 200800        200800
## 4288      Data Science and Research             USD 120681        120681
## 4289      Data Science and Research             USD  72409         72409
## 4290      Data Science and Research             USD 192000        192000
## 4291      Data Science and Research             USD 164000        164000
## 4292               Data Engineering             USD  80000         80000
## 4293               Data Engineering             USD  52500         52500
## 4294      Data Science and Research             USD 250000        250000
## 4295      Data Science and Research             USD 176000        176000
## 4296      Data Science and Research             USD 250000        250000
## 4297      Data Science and Research             USD 170000        170000
## 4298      Data Science and Research             USD 250000        250000
## 4299      Data Science and Research             USD 200000        200000
## 4300      Data Science and Research             USD 136000        136000
## 4301      Data Science and Research             USD 104000        104000
## 4302      Data Science and Research             USD 230000        230000
## 4303      Data Science and Research             USD 175000        175000
## 4304        Machine Learning and AI             BRL 195000         38290
## 4305        Machine Learning and AI             EUR 200000        215936
## 4306               Data Engineering             USD 167500        167500
## 4307               Data Engineering             USD 106500        106500
## 4308        Machine Learning and AI             USD 330000        330000
## 4309        Machine Learning and AI             USD 204000        204000
## 4310        Machine Learning and AI             USD 226600        226600
## 4311        Machine Learning and AI             USD 140100        140100
## 4312      Data Science and Research             USD 359170        359170
## 4313      Data Science and Research             USD 310270        310270
## 4314      Data Science and Research             USD 359170        359170
## 4315      Data Science and Research             USD 295490        295490
## 4316      Data Science and Research             USD 178560        178560
## 4317      Data Science and Research             USD 148800        148800
## 4318      Data Science and Research             USD 278700        278700
## 4319      Data Science and Research             USD 159300        159300
## 4320        Machine Learning and AI             USD 331640        331640
## 4321        Machine Learning and AI             USD 283780        283780
## 4322               Data Engineering             USD 167954        167954
## 4323               Data Engineering             USD 115830        115830
## 4324        Machine Learning and AI             USD 150000        150000
## 4325        Machine Learning and AI             USD 125000        125000
## 4326        Machine Learning and AI             USD 331640        331640
## 4327        Machine Learning and AI             USD 267720        267720
## 4328           BI and Visualization             USD 185000        185000
## 4329           BI and Visualization             USD  50000         50000
## 4330               Data Engineering             USD 331640        331640
## 4331               Data Engineering             USD 283780        283780
## 4332      Data Science and Research             USD 189110        189110
## 4333      Data Science and Research             USD 139000        139000
## 4334        Machine Learning and AI             USD 199000        199000
## 4335        Machine Learning and AI             USD 145000        145000
## 4336        Machine Learning and AI             USD 199000        199000
## 4337        Machine Learning and AI             USD 142000        142000
## 4338      Leadership and Management             USD 230000        230000
## 4339      Leadership and Management             USD 170000        170000
## 4340        Machine Learning and AI             USD 331640        331640
## 4341        Machine Learning and AI             USD 283780        283780
## 4342                  Data Analysis             USD  66000         66000
## 4343                  Data Analysis             USD  52000         52000
## 4344      Leadership and Management             USD 110400        110400
## 4345      Leadership and Management             USD  68000         68000
## 4346      Data Science and Research             USD 323300        323300
## 4347      Data Science and Research             USD 184700        184700
## 4348      Data Science and Research             USD 202000        202000
## 4349      Data Science and Research             USD 140000        140000
## 4350      Data Science and Research             USD 235000        235000
## 4351      Data Science and Research             USD 200000        200000
## 4352      Data Science and Research             USD 359170        359170
## 4353      Data Science and Research             USD 295490        295490
## 4354      Data Science and Research             USD 316000        316000
## 4355      Data Science and Research             USD 202000        202000
## 4356      Leadership and Management             USD 178560        178560
## 4357      Leadership and Management             USD 148800        148800
## 4358               Data Engineering             USD 170000        170000
## 4359               Data Engineering             USD 120000        120000
## 4360        Machine Learning and AI             USD 200000        200000
## 4361        Machine Learning and AI             USD 226600        226600
## 4362        Machine Learning and AI             USD 140100        140100
## 4363                  Data Analysis             USD 166500        166500
## 4364                  Data Analysis             USD 113220        113220
## 4365        Machine Learning and AI             USD 247500        247500
## 4366        Machine Learning and AI             USD 172200        172200
## 4367        Machine Learning and AI             USD 365630        365630
## 4368        Machine Learning and AI             USD 315850        315850
## 4369           BI and Visualization             USD 185000        185000
## 4370           BI and Visualization             USD  79600         79600
## 4371      Data Science and Research             USD 260000        260000
## 4372      Data Science and Research             USD 136000        136000
## 4373        Machine Learning and AI             USD 287500        287500
## 4374        Machine Learning and AI             USD 207500        207500
## 4375               Data Engineering             USD 229000        229000
## 4376               Data Engineering             USD 131000        131000
## 4377                  Data Analysis             USD 105000        105000
## 4378                  Data Analysis             USD  70000         70000
## 4379      Data Science and Research             USD 185000        185000
## 4380      Data Science and Research             USD  86700         86700
## 4381               Data Engineering             USD 180000        180000
## 4382               Data Engineering             USD 150000        150000
## 4383               Data Engineering             USD 145000        145000
## 4384               Data Engineering             USD 115000        115000
## 4385                  Data Analysis             USD 192300        192300
## 4386                  Data Analysis             USD 153800        153800
## 4387      Data Science and Research             USD 222200        222200
## 4388      Data Science and Research             USD 136000        136000
## 4389                  Data Analysis             CAD  91000         67419
## 4390               Data Engineering             USD 150000        150000
## 4391               Data Engineering             USD  90000         90000
## 4392      Data Science and Research             USD 155000        155000
## 4393      Data Science and Research             USD 139500        139500
## 4394                  Data Analysis             USD 131650        131650
## 4395                  Data Analysis             USD 105320        105320
## 4396      Data Science and Research             USD 222200        222200
## 4397      Data Science and Research             USD 136000        136000
## 4398      Data Science and Research             USD 204500        204500
## 4399      Data Science and Research             USD 126400        126400
## 4400      Data Science and Research             USD 309400        309400
## 4401      Data Science and Research             USD 159100        159100
## 4402        Machine Learning and AI             USD 235400        235400
## 4403        Machine Learning and AI             USD 160080        160080
## 4404                  Data Analysis             USD 146190        146190
## 4405                  Data Analysis             USD 119610        119610
## 4406      Data Science and Research             USD 190000        190000
## 4407      Data Science and Research             USD 175000        175000
## 4408      Data Science and Research             USD 299500        299500
## 4409      Data Science and Research             USD 245100        245100
## 4410      Data Science and Research             USD 228856        228856
## 4411      Data Science and Research             USD 144540        144540
## 4412      Data Science and Research             USD 210000        210000
## 4413      Data Science and Research             USD 151800        151800
## 4414        Machine Learning and AI             USD 331640        331640
## 4415        Machine Learning and AI             USD 267720        267720
## 4416 Data Architecture and Modeling             USD 150000        150000
## 4417 Data Architecture and Modeling             USD 100000        100000
## 4418      Data Science and Research             USD 126500        126500
## 4419      Data Science and Research             USD  78000         78000
## 4420      Data Science and Research             EUR  45000         48585
## 4421      Data Science and Research             EUR  36000         38868
## 4422                  Data Analysis             USD 126500        126500
## 4423                  Data Analysis             USD  78000         78000
## 4424           BI and Visualization             USD 167500        167500
## 4425           BI and Visualization             USD 106500        106500
## 4426      Data Science and Research             USD 105000        105000
## 4427      Data Science and Research             USD  70000         70000
## 4428        Machine Learning and AI             USD 300000        300000
## 4429        Machine Learning and AI             USD 200000        200000
## 4430               Data Engineering             USD  96000         96000
## 4431               Data Engineering             USD  72000         72000
## 4432      Data Science and Research             USD 323300        323300
## 4433      Data Science and Research             USD 184700        184700
## 4434      Data Science and Research             USD 205150        205150
## 4435      Data Science and Research             USD 167850        167850
## 4436      Data Science and Research             USD 267100        267100
## 4437      Data Science and Research             USD 167200        167200
## 4438           BI and Visualization             USD 247500        247500
## 4439           BI and Visualization             USD 172200        172200
## 4440                  Data Analysis             USD 130000        130000
## 4441                  Data Analysis             USD 110000        110000
## 4442      Data Science and Research             USD 253000        253000
## 4443      Data Science and Research             USD 156400        156400
## 4444      Data Science and Research             USD 222200        222200
## 4445      Data Science and Research             USD 136000        136000
## 4446      Data Science and Research             USD 278700        278700
## 4447      Data Science and Research             USD 159300        159300
## 4448      Data Science and Research             USD 222750        222750
## 4449      Data Science and Research             USD 182250        182250
## 4450      Data Science and Research             CHF  95000        104024
## 4451      Data Science and Research             EUR  47000         50745
## 4452               Data Engineering             USD 215000        215000
## 4453               Data Engineering             USD 185000        185000
## 4454        Machine Learning and AI             USD 296400        296400
## 4455        Machine Learning and AI             USD 148594        148594
## 4456      Data Science and Research             USD 206000        206000
## 4457      Data Science and Research             USD 140250        140250
## 4458      Leadership and Management             USD 254500        254500
## 4459      Leadership and Management             USD 130900        130900
## 4460      Data Science and Research             USD 198000        198000
## 4461      Data Science and Research             USD 124000        124000
## 4462      Leadership and Management             USD 145000        145000
## 4463      Leadership and Management             USD 130000        130000
## 4464           BI and Visualization             USD 234485        234485
## 4465           BI and Visualization             USD 112655        112655
## 4466        Machine Learning and AI             USD 296400        296400
## 4467        Machine Learning and AI             USD 148594        148594
## 4468      Data Science and Research             USD 222200        222200
## 4469      Data Science and Research             USD 136000        136000
## 4470        Machine Learning and AI             USD 200000        200000
## 4471        Machine Learning and AI             USD 150000        150000
## 4472                  Data Analysis             USD 125000        125000
## 4473                  Data Analysis             USD 105000        105000
## 4474      Data Science and Research             GBP  70000         86128
## 4475      Data Science and Research             GBP  42000         51676
## 4476               Data Engineering             EUR  65000         70179
## 4477               Data Engineering             EUR  60000         64781
## 4478      Data Science and Research             USD 258000        258000
## 4479      Data Science and Research             USD 190000        190000
## 4480      Data Science and Research             USD 184184        184184
## 4481      Data Science and Research             USD 167441        167441
## 4482        Machine Learning and AI             CAD 100000         74087
## 4483      Data Science and Research             EUR  30000         32390
## 4484               Data Engineering             USD 204500        204500
## 4485               Data Engineering             USD 130000        130000
## 4486      Leadership and Management             USD  90000         90000
## 4487      Leadership and Management             USD  84000         84000
## 4488      Data Science and Research             USD 136000        136000
## 4489      Data Science and Research             USD 104000        104000
## 4490               Data Engineering             USD 202400        202400
## 4491               Data Engineering             USD 147200        147200
## 4492               Data Engineering             USD  80000         80000
## 4493               Data Engineering             USD  52500         52500
## 4494               Data Engineering             USD 128000        128000
## 4495               Data Engineering             USD  81500         81500
## 4496                  Data Analysis             USD 105000        105000
## 4497                  Data Analysis             USD  75000         75000
## 4498                  Data Analysis             USD  95000         95000
## 4499                  Data Analysis             USD  75000         75000
## 4500               Data Engineering             USD 167500        167500
## 4501               Data Engineering             USD 106500        106500
## 4502      Data Science and Research             USD 139500        139500
## 4503      Data Science and Research             USD  90000         90000
## 4504        Machine Learning and AI             USD 269500        269500
## 4505        Machine Learning and AI             USD 166600        166600
## 4506        Machine Learning and AI             USD 330000        330000
## 4507        Machine Learning and AI             USD 204000        204000
## 4508               Data Engineering             USD 252000        252000
## 4509               Data Engineering             USD 129000        129000
## 4510               Data Engineering             USD 180000        180000
## 4511               Data Engineering             USD 165000        165000
## 4512           BI and Visualization             USD 192000        192000
## 4513           BI and Visualization             USD 142000        142000
## 4514    Data Quality and Operations             USD 143000        143000
## 4515    Data Quality and Operations             USD 129000        129000
## 4516      Data Science and Research             USD 191000        191000
## 4517      Data Science and Research             USD 146000        146000
## 4518   Data Management and Strategy             USD  85000         85000
## 4519   Data Management and Strategy             USD  70000         70000
## 4520      Data Science and Research             USD 155000        155000
## 4521      Data Science and Research             USD 139500        139500
## 4522               Data Engineering             GBP 120000        147648
## 4523               Data Engineering             GBP  80000         98432
## 4524                  Data Analysis             USD 138860        138860
## 4525                  Data Analysis             USD 122720        122720
## 4526        Machine Learning and AI             USD 212800        212800
## 4527        Machine Learning and AI             USD 144800        144800
## 4528                  Data Analysis             USD 250000        250000
## 4529                  Data Analysis             USD 100000        100000
## 4530      Data Science and Research             USD 209450        209450
## 4531      Data Science and Research             USD 167560        167560
## 4532      Data Science and Research             USD  16000         16000
## 4533               Data Engineering             USD  27000         27000
## 4534      Leadership and Management             USD  72000         72000
## 4535               Data Engineering             USD 172900        172900
## 4536               Data Engineering             USD 144100        144100
## 4537      Data Science and Research             USD 230000        230000
## 4538      Data Science and Research             USD 175000        175000
## 4539           BI and Visualization             USD 160000        160000
## 4540           BI and Visualization             USD 135000        135000
## 4541                  Data Analysis             USD 150000        150000
## 4542                  Data Analysis             USD 110000        110000
## 4543                  Data Analysis             USD 101500        101500
## 4544                  Data Analysis             USD  83700         83700
## 4545      Data Science and Research             USD 310270        310270
## 4546      Data Science and Research             USD 253430        253430
## 4547           BI and Visualization             USD 202800        202800
## 4548           BI and Visualization             USD 104300        104300
## 4549                  Data Analysis             USD 110000        110000
## 4550                  Data Analysis             USD  70000         70000
## 4551      Data Science and Research             USD 283000        283000
## 4552      Data Science and Research             USD 184000        184000
## 4553                  Data Analysis             USD 166500        166500
## 4554                  Data Analysis             USD 113220        113220
## 4555      Data Science and Research             USD 220000        220000
## 4556      Data Science and Research             USD 185000        185000
## 4557               Data Engineering             USD 260000        260000
## 4558               Data Engineering             USD 225000        225000
## 4559      Data Science and Research             USD 246500        246500
## 4560      Data Science and Research             USD 133500        133500
## 4561               Data Engineering             USD 331640        331640
## 4562               Data Engineering             USD 283780        283780
## 4563        Machine Learning and AI             USD 331640        331640
## 4564        Machine Learning and AI             USD 283780        283780
## 4565      Data Science and Research             USD 174000        174000
## 4566      Data Science and Research             USD 134000        134000
## 4567      Data Science and Research             USD 359170        359170
## 4568      Data Science and Research             USD 310270        310270
## 4569        Machine Learning and AI             USD 331640        331640
## 4570        Machine Learning and AI             USD 283780        283780
## 4571      Data Science and Research             USD 359170        359170
## 4572      Data Science and Research             USD 295490        295490
## 4573      Data Science and Research             USD 189110        189110
## 4574      Data Science and Research             USD 139000        139000
## 4575      Data Science and Research             USD 330000        330000
## 4576      Data Science and Research             USD 230000        230000
## 4577               Data Engineering             USD 254000        254000
## 4578               Data Engineering             USD 200000        200000
## 4579      Data Science and Research             USD 309400        309400
## 4580      Data Science and Research             USD 159100        159100
## 4581        Machine Learning and AI             USD 331640        331640
## 4582        Machine Learning and AI             USD 267720        267720
## 4583        Machine Learning and AI             USD 283780        283780
## 4584        Machine Learning and AI             USD 218540        218540
## 4585      Data Science and Research             GBP 100000        123040
## 4586      Data Science and Research             GBP  60000         73824
## 4587      Leadership and Management             USD 167000        167000
## 4588      Leadership and Management             USD 109000        109000
## 4589               Data Engineering             USD 208000        208000
## 4590               Data Engineering             USD 193000        193000
## 4591      Data Science and Research             USD 359170        359170
## 4592      Data Science and Research             USD 295490        295490
## 4593                  Data Analysis             EUR  42000         47899
## 4594        Machine Learning and AI             USD 115000        115000
## 4595      Data Science and Research             USD 216000        216000
## 4596      Data Science and Research             USD 184000        184000
## 4597        Machine Learning and AI             USD 200000        200000
## 4598        Machine Learning and AI             USD 145000        145000
## 4599        Machine Learning and AI             USD 250000        250000
## 4600        Machine Learning and AI             USD 166600        166600
## 4601        Machine Learning and AI             USD 284000        284000
## 4602        Machine Learning and AI             USD 227000        227000
## 4603      Data Science and Research             USD 205000        205000
## 4604      Data Science and Research             USD 160000        160000
## 4605        Machine Learning and AI             USD 191400        191400
## 4606        Machine Learning and AI             USD 127600        127600
## 4607      Data Science and Research             USD 222200        222200
## 4608      Data Science and Research             USD 136000        136000
## 4609        Machine Learning and AI             USD 191400        191400
## 4610        Machine Learning and AI             USD 127600        127600
## 4611        Machine Learning and AI             USD 230000        230000
## 4612        Machine Learning and AI             USD 175000        175000
## 4613                  Data Analysis             USD 139600        139600
## 4614                  Data Analysis             USD  85700         85700
## 4615    Data Quality and Operations             USD  95000         95000
## 4616    Data Quality and Operations             USD  70000         70000
## 4617               Data Engineering             USD 258000        258000
## 4618               Data Engineering             USD 171000        171000
## 4619      Data Science and Research             USD 204500        204500
## 4620      Data Science and Research             USD 126400        126400
## 4621               Data Engineering             USD  87000         87000
## 4622               Data Engineering             USD  73000         73000
## 4623        Machine Learning and AI             USD  20000         20000
## 4624      Data Science and Research             USD 300000        300000
## 4625 Data Architecture and Modeling             GBP  90000        110736
## 4626 Data Architecture and Modeling             GBP  45000         55368
## 4627               Data Engineering             USD 232960        232960
## 4628               Data Engineering             USD 151840        151840
## 4629               Data Engineering             USD 163152        163152
## 4630               Data Engineering             USD 108768        108768
## 4631      Data Science and Research             USD 370000        370000
## 4632      Data Science and Research             USD 245000        245000
## 4633        Machine Learning and AI             USD 285000        285000
## 4634        Machine Learning and AI             USD 193900        193900
## 4635      Data Science and Research             USD 240000        240000
## 4636      Data Science and Research             USD 163200        163200
## 4637      Data Science and Research             USD 222000        222000
## 4638      Data Science and Research             USD 166500        166500
## 4639        Machine Learning and AI             USD 240000        240000
## 4640        Machine Learning and AI             USD 163200        163200
## 4641      Data Science and Research             USD 345000        345000
## 4642      Data Science and Research             USD 234700        234700
## 4643        Machine Learning and AI             USD 100000        100000
## 4644                  Data Analysis             USD  40000         40000
## 4645        Machine Learning and AI             USD 226600        226600
## 4646        Machine Learning and AI             USD 140100        140100
## 4647               Data Engineering             USD 241000        241000
## 4648               Data Engineering             USD 155000        155000
## 4649               Data Engineering             USD 210000        210000
## 4650      Data Science and Research             USD  90000         90000
## 4651                  Data Analysis             EUR  55000         59382
## 4652      Leadership and Management             USD  90000         90000
## 4653      Leadership and Management             USD  84000         84000
## 4654                  Data Analysis             USD 160000        160000
## 4655                  Data Analysis             USD 140000        140000
## 4656      Leadership and Management             USD 221300        221300
## 4657      Leadership and Management             USD 147500        147500
## 4658               Data Engineering             USD 204500        204500
## 4659               Data Engineering             USD 130000        130000
## 4660        Machine Learning and AI             USD 210000        210000
## 4661        Machine Learning and AI             USD 160000        160000
## 4662        Machine Learning and AI             USD 204500        204500
## 4663        Machine Learning and AI             USD 142200        142200
## 4664                  Data Analysis             USD 186600        186600
## 4665                  Data Analysis             USD 119800        119800
## 4666      Leadership and Management             USD 192000        192000
## 4667      Leadership and Management             USD 151000        151000
## 4668           BI and Visualization             USD 185000        185000
## 4669           BI and Visualization             USD  79600         79600
## 4670      Data Science and Research             USD 169000        169000
## 4671      Data Science and Research             USD 129300        129300
## 4672               Data Engineering             USD 204500        204500
## 4673               Data Engineering             USD 142200        142200
## 4674               Data Engineering             USD 250000        250000
## 4675               Data Engineering             USD 130000        130000
## 4676           BI and Visualization             USD 210000        210000
## 4677           BI and Visualization             USD 170000        170000
## 4678      Leadership and Management             USD 221300        221300
## 4679      Leadership and Management             USD 147500        147500
## 4680      Data Science and Research             USD 189750        189750
## 4681      Data Science and Research             USD 131100        131100
## 4682      Data Science and Research             USD 299500        299500
## 4683      Data Science and Research             USD 245100        245100
## 4684               Data Engineering             USD 128000        128000
## 4685               Data Engineering             USD  81500         81500
## 4686               Data Engineering             USD  80000         80000
## 4687               Data Engineering             USD  52500         52500
## 4688      Data Science and Research             USD 370000        370000
## 4689      Data Science and Research             USD 200000        200000
## 4690               Data Engineering             USD  72000         72000
## 4691               Data Engineering             USD  60000         60000
## 4692      Data Science and Research             USD 180000        180000
## 4693      Data Science and Research             USD 140000        140000
## 4694                  Data Analysis             USD  94000         94000
## 4695                  Data Analysis             USD  81900         81900
## 4696      Leadership and Management             USD 210000        210000
## 4697      Leadership and Management             USD 159090        159090
## 4698        Machine Learning and AI             USD 210000        210000
## 4699        Machine Learning and AI             USD 175000        175000
## 4700                  Data Analysis             USD 118000        118000
## 4701                  Data Analysis             USD  94400         94400
## 4702 Data Architecture and Modeling             USD 150000        150000
## 4703 Data Architecture and Modeling             USD  90000         90000
## 4704      Data Science and Research             USD 190000        190000
## 4705      Data Science and Research             USD 125000        125000
## 4706               Data Engineering             USD 130002        130002
## 4707               Data Engineering             USD  71908         71908
## 4708                  Data Analysis             USD  80000         80000
## 4709                  Data Analysis             USD  60000         60000
## 4710               Data Engineering             USD 167500        167500
## 4711               Data Engineering             USD 106500        106500
## 4712           BI and Visualization             USD 202800        202800
## 4713           BI and Visualization             USD 104300        104300
## 4714        Machine Learning and AI             AUD 121000         81838
## 4715                  Data Analysis             USD  60000         60000
## 4716               Data Engineering             USD 185900        185900
## 4717               Data Engineering             USD 129300        129300
## 4718                  Data Analysis             USD 150000        150000
## 4719                  Data Analysis             USD 110000        110000
## 4720      Data Science and Research             USD 230000        230000
## 4721      Data Science and Research             USD 175000        175000
## 4722        Machine Learning and AI             USD 200000        200000
## 4723        Machine Learning and AI             USD 170000        170000
## 4724      Data Science and Research             USD 175000        175000
## 4725      Data Science and Research             USD 160000        160000
## 4726      Data Science and Research             USD 255000        255000
## 4727      Data Science and Research             USD 160000        160000
## 4728      Leadership and Management             USD 116990        116990
## 4729      Leadership and Management             USD  82920         82920
## 4730               Data Engineering             USD 121000        121000
## 4731               Data Engineering             USD  78000         78000
## 4732      Leadership and Management             USD 159000        159000
## 4733      Leadership and Management             USD 105000        105000
## 4734      Data Science and Research             USD 309400        309400
## 4735      Data Science and Research             USD 159100        159100
## 4736      Data Science and Research             USD 155000        155000
## 4737      Data Science and Research             USD 102000        102000
## 4738      Data Science and Research             USD 374000        374000
## 4739      Data Science and Research             USD 197500        197500
## 4740      Data Science and Research             USD 260000        260000
## 4741      Data Science and Research             USD 136000        136000
## 4742      Data Science and Research             USD 240000        240000
## 4743      Data Science and Research             USD 187000        187000
## 4744      Data Science and Research             USD  20000         20000
## 4745        Machine Learning and AI             USD 210000        210000
## 4746        Machine Learning and AI             USD 190000        190000
## 4747    Data Quality and Operations             USD  95000         95000
## 4748    Data Quality and Operations             USD  70000         70000
## 4749      Data Science and Research             USD 195000        195000
## 4750      Data Science and Research             USD 119000        119000
## 4751      Data Science and Research             USD 216000        216000
## 4752      Data Science and Research             USD 184000        184000
## 4753        Machine Learning and AI             USD 200000        200000
## 4754        Machine Learning and AI             USD 160000        160000
## 4755                  Data Analysis             USD  80000         80000
## 4756                  Data Analysis             USD  70000         70000
## 4757           BI and Visualization             USD 185000        185000
## 4758           BI and Visualization             USD  79600         79600
## 4759                  Data Analysis             GBP  60000         73824
## 4760                  Data Analysis             GBP  50000         61520
## 4761      Data Science and Research             USD 266450        266450
## 4762      Data Science and Research             USD 177700        177700
## 4763      Data Science and Research             USD 245000        245000
## 4764      Data Science and Research             USD 185000        185000
## 4765        Machine Learning and AI             USD 247500        247500
## 4766        Machine Learning and AI             USD 172200        172200
## 4767      Data Science and Research             USD 222200        222200
## 4768      Data Science and Research             USD 136000        136000
## 4769    Data Quality and Operations             USD  55720         55720
## 4770    Data Quality and Operations             USD  50700         50700
## 4771                  Data Analysis             USD  56000         56000
## 4772      Data Science and Research             USD 370000        370000
## 4773      Data Science and Research             USD 200000        200000
## 4774               Data Engineering             USD 196000        196000
## 4775               Data Engineering             USD 121000        121000
## 4776           BI and Visualization             USD 202800        202800
## 4777           BI and Visualization             USD 104300        104300
## 4778 Data Architecture and Modeling             USD 135000        135000
## 4779 Data Architecture and Modeling             USD 115000        115000
## 4780        Machine Learning and AI             USD 302000        302000
## 4781        Machine Learning and AI             USD 189000        189000
## 4782                  Data Analysis             USD  65000         65000
## 4783                  Data Analysis             USD  55000         55000
## 4784        Machine Learning and AI             USD 220000        220000
## 4785        Machine Learning and AI             USD 170000        170000
## 4786           BI and Visualization             USD 185000        185000
## 4787           BI and Visualization             USD  79600         79600
## 4788                  Data Analysis             USD 110000        110000
## 4789                  Data Analysis             USD  75000         75000
## 4790           BI and Visualization             USD 150000        150000
## 4791           BI and Visualization             USD  93000         93000
## 4792      Data Science and Research             USD 190000        190000
## 4793               Data Engineering             PLN 200000         46565
## 4794        Machine Learning and AI             USD 204500        204500
## 4795        Machine Learning and AI             USD 142200        142200
## 4796      Data Science and Research             USD 204500        204500
## 4797      Data Science and Research             USD 126400        126400
## 4798        Machine Learning and AI             USD 216000        216000
## 4799        Machine Learning and AI             USD 184000        184000
## 4800                  Data Analysis             USD 139600        139600
## 4801                  Data Analysis             USD  85700         85700
## 4802      Data Science and Research             USD 100000        100000
## 4803      Data Science and Research             USD 128750        128750
## 4804      Data Science and Research             USD  79350         79350
## 4805      Leadership and Management             GBP  60000         73824
## 4806      Leadership and Management             GBP  55000         67672
## 4807      Data Science and Research             USD 185900        185900
## 4808      Data Science and Research             USD 129300        129300
## 4809      Leadership and Management             USD 174000        174000
## 4810      Leadership and Management             USD 134000        134000
## 4811      Data Science and Research             USD 155000        155000
## 4812      Data Science and Research             USD 125000        125000
## 4813           BI and Visualization             USD 185000        185000
## 4814           BI and Visualization             USD  79600         79600
## 4815               Data Engineering             USD 194400        194400
## 4816               Data Engineering             USD 132192        132192
## 4817        Machine Learning and AI             USD 273400        273400
## 4818        Machine Learning and AI             USD 182200        182200
## 4819                  Data Analysis             USD 165000        165000
## 4820                  Data Analysis             USD 142500        142500
## 4821      Data Science and Research             USD 213654        213654
## 4822      Data Science and Research             USD 142436        142436
## 4823               Data Engineering             USD 124230        124230
## 4824               Data Engineering             USD  68637         68637
## 4825               Data Engineering             USD 204000        204000
## 4826               Data Engineering             USD 161500        161500
## 4827        Machine Learning and AI             USD 204500        204500
## 4828        Machine Learning and AI             USD 142200        142200
## 4829      Data Science and Research             USD 185900        185900
## 4830      Data Science and Research             USD 129300        129300
## 4831      Data Science and Research             USD 200000        200000
## 4832      Data Science and Research             USD 100000        100000
## 4833      Data Science and Research             USD 260000        260000
## 4834      Data Science and Research             USD 136000        136000
## 4835      Data Science and Research             USD 175000        175000
## 4836      Data Science and Research             USD 148750        148750
## 4837        Machine Learning and AI             USD 226600        226600
## 4838        Machine Learning and AI             USD 140100        140100
## 4839      Data Science and Research             USD 135000        135000
## 4840      Data Science and Research             USD  95000         95000
## 4841        Machine Learning and AI             USD 287700        287700
## 4842        Machine Learning and AI             USD 148000        148000
## 4843      Data Science and Research             USD 227240        227240
## 4844      Data Science and Research             USD 197600        197600
## 4845      Data Science and Research             USD 161000        161000
## 4846      Data Science and Research             USD 140000        140000
## 4847        Machine Learning and AI             USD 221000        221000
## 4848        Machine Learning and AI             USD 185000        185000
## 4849      Data Science and Research             USD 210000        210000
## 4850      Data Science and Research             USD 178500        178500
## 4851        Machine Learning and AI             USD 180000        180000
## 4852        Machine Learning and AI             USD 150000        150000
## 4853      Leadership and Management             USD 146100        146100
## 4854      Leadership and Management             USD 112400        112400
## 4855                  Data Analysis             USD 160000        160000
## 4856                  Data Analysis             USD 140000        140000
## 4857 Data Architecture and Modeling             GBP  70000         86128
## 4858 Data Architecture and Modeling             GBP  65000         79976
## 4859        Machine Learning and AI             USD 331640        331640
## 4860        Machine Learning and AI             USD 267720        267720
## 4861               Data Engineering             USD 285000        285000
## 4862               Data Engineering             USD 205000        205000
## 4863        Machine Learning and AI             USD  90000         90000
## 4864                  Data Analysis             USD 120350        120350
## 4865                  Data Analysis             USD  74400         74400
## 4866               Data Engineering             USD 146000        146000
## 4867               Data Engineering             USD  94000         94000
## 4868        Machine Learning and AI             USD 237400        237400
## 4869        Machine Learning and AI             USD 158200        158200
## 4870           BI and Visualization             USD 225000        225000
## 4871           BI and Visualization             USD 156400        156400
## 4872        Machine Learning and AI             USD 192000        192000
## 4873        Machine Learning and AI             USD 164000        164000
## 4874           BI and Visualization             USD 150000        150000
## 4875           BI and Visualization             USD 141000        141000
## 4876      Data Science and Research             USD 260000        260000
## 4877      Data Science and Research             USD 136000        136000
## 4878      Data Science and Research             USD 309400        309400
## 4879      Data Science and Research             USD 159100        159100
## 4880      Leadership and Management             USD 267000        267000
## 4881      Leadership and Management             USD 205000        205000
## 4882      Data Science and Research             USD 147100        147100
## 4883      Data Science and Research             USD  90700         90700
## 4884                  Data Analysis             USD 115000        115000
## 4885                  Data Analysis             USD  72000         72000
## 4886                  Data Analysis             USD 169000        169000
## 4887                  Data Analysis             USD 110600        110600
## 4888                  Data Analysis             GBP  55000         67672
## 4889                  Data Analysis             GBP  55000         67672
## 4890           BI and Visualization             USD 185000        185000
## 4891           BI and Visualization             USD  79600         79600
## 4892               Data Engineering             USD 165000        165000
## 4893               Data Engineering             USD 141000        141000
## 4894               Data Engineering             GBP 144000        177177
## 4895      Data Science and Research             USD 240000        240000
## 4896      Data Science and Research             USD 142000        142000
## 4897        Machine Learning and AI             USD 180000        180000
## 4898        Machine Learning and AI             USD 105000        105000
## 4899                  Data Analysis             USD  80000         80000
## 4900                  Data Analysis             USD  60000         60000
## 4901        Machine Learning and AI             USD 268000        268000
## 4902        Machine Learning and AI             USD 180000        180000
## 4903      Leadership and Management             USD 144628        144628
## 4904      Leadership and Management             USD 115702        115702
## 4905                  Data Analysis             USD 144000        144000
## 4906                  Data Analysis             USD 132000        132000
## 4907                  Data Analysis             USD 106400        106400
## 4908                  Data Analysis             USD  81800         81800
## 4909                  Data Analysis             USD 134200        134200
## 4910                  Data Analysis             USD 103200        103200
## 4911                  Data Analysis             USD 110000        110000
## 4912                  Data Analysis             USD  93500         93500
## 4913               Data Engineering             USD 208200        208200
## 4914               Data Engineering             USD 151200        151200
## 4915        Machine Learning and AI             USD 240000        240000
## 4916        Machine Learning and AI             USD 180000        180000
## 4917      Data Science and Research             USD 270000        270000
## 4918      Data Science and Research             USD 220000        220000
## 4919               Data Engineering             USD 194500        194500
## 4920               Data Engineering             USD 115500        115500
## 4921      Data Science and Research             USD 225000        225000
## 4922      Data Science and Research             USD 156400        156400
## 4923                  Data Analysis             USD 140000        140000
## 4924                  Data Analysis             USD 100000        100000
## 4925        Machine Learning and AI             USD 193600        193600
## 4926        Machine Learning and AI             USD 119700        119700
## 4927        Machine Learning and AI             USD 225000        225000
## 4928        Machine Learning and AI             USD 199000        199000
## 4929                  Data Analysis             USD  50000         50000
## 4930                  Data Analysis             USD  40000         40000
## 4931      Data Science and Research             USD 185900        185900
## 4932      Data Science and Research             USD 129300        129300
## 4933                  Data Analysis             USD 120000        120000
## 4934                  Data Analysis             USD  95000         95000
## 4935                  Data Analysis             GBP  80000         98432
## 4936                  Data Analysis             GBP  45000         55368
## 4937      Data Science and Research             USD 225000        225000
## 4938      Data Science and Research             USD 156400        156400
## 4939      Leadership and Management             GBP 325000        399880
## 4940               Data Engineering             EUR  38000         41027
## 4941        Machine Learning and AI             USD 155000        155000
## 4942        Machine Learning and AI             USD 100000        100000
## 4943                  Data Analysis             USD  85000         85000
## 4944                  Data Analysis             USD  65000         65000
## 4945 Data Architecture and Modeling             USD 280100        280100
## 4946 Data Architecture and Modeling             USD 168100        168100
## 4947        Machine Learning and AI             USD 200000        200000
## 4948        Machine Learning and AI             USD 120000        120000
## 4949           BI and Visualization             USD 185000        185000
## 4950           BI and Visualization             USD  79600         79600
## 4951               Data Engineering             USD 149040        149040
## 4952               Data Engineering             USD 113900        113900
## 4953        Machine Learning and AI             USD 240000        240000
## 4954        Machine Learning and AI             USD 180000        180000
## 4955        Machine Learning and AI             USD 165000        165000
## 4956        Machine Learning and AI             USD 145000        145000
## 4957        Machine Learning and AI             USD 165000        165000
## 4958        Machine Learning and AI             USD 145000        145000
## 4959 Data Architecture and Modeling             USD 274450        274450
## 4960 Data Architecture and Modeling             USD 199600        199600
## 4961               Data Engineering             USD  83500         83500
## 4962               Data Engineering             USD  52500         52500
## 4963           BI and Visualization             USD 140000        140000
## 4964           BI and Visualization             USD  76500         76500
## 4965      Data Science and Research             EUR  45000         48585
## 4966      Data Science and Research             EUR  36000         38868
## 4967 Data Architecture and Modeling             USD 306000        306000
## 4968 Data Architecture and Modeling             USD 204000        204000
## 4969        Machine Learning and AI             USD 204500        204500
## 4970        Machine Learning and AI             USD 142200        142200
## 4971      Data Science and Research             USD 185900        185900
## 4972      Data Science and Research             USD 129300        129300
## 4973                  Data Analysis             USD 136000        136000
## 4974                  Data Analysis             USD 104000        104000
## 4975               Data Engineering             USD 115000        115000
## 4976               Data Engineering             USD  81500         81500
## 4977      Data Science and Research             USD 280000        280000
## 4978      Data Science and Research             USD 250000        250000
## 4979      Data Science and Research             USD 180000        180000
## 4980               Data Engineering             USD 100000        100000
## 4981               Data Engineering             USD  70000         70000
## 4982               Data Engineering             USD 100000        100000
## 4983               Data Engineering             USD  70000         70000
## 4984      Data Science and Research             USD 240000        240000
## 4985      Data Science and Research             USD 157000        157000
## 4986      Data Science and Research             USD 222200        222200
## 4987      Data Science and Research             USD 136000        136000
## 4988        Machine Learning and AI             USD 204500        204500
## 4989        Machine Learning and AI             USD 142200        142200
## 4990                  Data Analysis             USD 140700        140700
## 4991                  Data Analysis             USD 109600        109600
## 4992        Machine Learning and AI             USD 278000        278000
## 4993        Machine Learning and AI             USD 173000        173000
## 4994                  Data Analysis             USD 110000        110000
## 4995                  Data Analysis             USD  95000         95000
## 4996               Data Engineering             USD 305000        305000
## 4997               Data Engineering             USD 160000        160000
## 4998               Data Engineering             USD 175000        175000
## 4999               Data Engineering             USD 125000        125000
## 5000                  Data Analysis             USD 155000        155000
## 5001                  Data Analysis             USD 120000        120000
## 5002                  Data Analysis             USD  85000         85000
## 5003                  Data Analysis             USD  80000         80000
## 5004      Data Science and Research             USD  24000         24000
## 5005        Machine Learning and AI             USD 165400        165400
## 5006        Machine Learning and AI             USD 127300        127300
## 5007      Data Science and Research             USD 260000        260000
## 5008      Data Science and Research             USD 136000        136000
## 5009           BI and Visualization             USD 259000        259000
## 5010           BI and Visualization             USD 138750        138750
## 5011      Data Science and Research             USD 185900        185900
## 5012      Data Science and Research             USD 129300        129300
## 5013        Machine Learning and AI             USD 273400        273400
## 5014        Machine Learning and AI             USD 182200        182200
## 5015      Data Science and Research             USD 192000        192000
## 5016      Data Science and Research             USD 178000        178000
## 5017      Data Science and Research             USD 218000        218000
## 5018      Data Science and Research             USD  85000         85000
## 5019   Data Management and Strategy             USD 132000        132000
## 5020   Data Management and Strategy             USD  71500         71500
## 5021               Data Engineering             USD 252000        252000
## 5022               Data Engineering             USD 129000        129000
## 5023      Leadership and Management             USD 215050        215050
## 5024      Leadership and Management             USD 113100        113100
## 5025      Data Science and Research             USD 260000        260000
## 5026      Data Science and Research             USD 136000        136000
## 5027      Data Science and Research             USD 218000        218000
## 5028      Data Science and Research             USD  85000         85000
## 5029      Data Science and Research             USD 130000        130000
## 5030      Data Science and Research             USD  85000         85000
## 5031               Data Engineering             USD 250000        250000
## 5032               Data Engineering             USD 200000        200000
## 5033        Machine Learning and AI             USD 220000        220000
## 5034        Machine Learning and AI             USD 170000        170000
## 5035               Data Engineering             USD 145000        145000
## 5036               Data Engineering             USD 115000        115000
## 5037      Data Science and Research             USD 184000        184000
## 5038      Data Science and Research             USD 123000        123000
## 5039                  Data Analysis             USD  75000         75000
## 5040                  Data Analysis             USD  65000         65000
## 5041      Data Science and Research             USD 168400        168400
## 5042      Data Science and Research             USD  90700         90700
## 5043               Data Engineering             USD 185900        185900
## 5044               Data Engineering             USD 129300        129300
## 5045      Data Science and Research             USD 258000        258000
## 5046      Data Science and Research             USD 190000        190000
## 5047                  Data Analysis             USD 169000        169000
## 5048                  Data Analysis             USD 110600        110600
## 5049                  Data Analysis             USD  80000         80000
## 5050                  Data Analysis             USD  70000         70000
## 5051                  Data Analysis             USD 136505        136505
## 5052                  Data Analysis             USD 100895        100895
## 5053        Machine Learning and AI             USD 200000        200000
## 5054        Machine Learning and AI             USD 150000        150000
## 5055           BI and Visualization             USD 202800        202800
## 5056           BI and Visualization             USD 104300        104300
## 5057               Data Engineering             USD 275300        275300
## 5058               Data Engineering             USD 183500        183500
## 5059      Data Science and Research             USD 168400        168400
## 5060      Data Science and Research             USD 105200        105200
## 5061 Data Architecture and Modeling             USD 240000        240000
## 5062 Data Architecture and Modeling             USD 150000        150000
## 5063      Leadership and Management             USD 130000        130000
## 5064      Leadership and Management             USD 120000        120000
## 5065                  Data Analysis             USD  93000         93000
## 5066      Data Science and Research             USD 248100        248100
## 5067      Data Science and Research             USD 145900        145900
## 5068                  Data Analysis             USD 177000        177000
## 5069                  Data Analysis             USD 118000        118000
## 5070                  Data Analysis             USD 120350        120350
## 5071                  Data Analysis             USD  74400         74400
## 5072               Data Engineering             USD 190000        190000
## 5073               Data Engineering             USD 120000        120000
## 5074        Machine Learning and AI             USD 237400        237400
## 5075        Machine Learning and AI             USD 132870        132870
## 5076      Data Science and Research             USD 248100        248100
## 5077      Data Science and Research             USD 145900        145900
## 5078      Data Science and Research             USD 170000        170000
## 5079      Data Science and Research             USD 125000        125000
## 5080               Data Engineering             USD 105000        105000
## 5081               Data Engineering             USD  90000         90000
## 5082        Machine Learning and AI             USD 317070        317070
## 5083        Machine Learning and AI             USD 170730        170730
## 5084        Machine Learning and AI             USD 170000        170000
## 5085        Machine Learning and AI             USD 125000        125000
## 5086               Data Engineering             USD 158700        158700
## 5087               Data Engineering             USD 123906        123906
## 5088      Data Science and Research             USD 222200        222200
## 5089      Data Science and Research             USD 136000        136000
## 5090               Data Engineering             USD 166000        166000
## 5091               Data Engineering             USD 128000        128000
## 5092               Data Engineering             EUR  75000         80976
## 5093               Data Engineering             EUR  62000         66940
## 5094               Data Engineering             USD 333500        333500
## 5095               Data Engineering             USD 180500        180500
## 5096        Machine Learning and AI             USD 242921        242921
## 5097        Machine Learning and AI             USD 170045        170045
## 5098      Data Science and Research             USD 248100        248100
## 5099      Data Science and Research             USD 145900        145900
## 5100               Data Engineering             GBP  75000         92280
## 5101               Data Engineering             GBP  62000         76284
## 5102           BI and Visualization             USD 225000        225000
## 5103           BI and Visualization             USD 156400        156400
## 5104               Data Engineering             USD 257400        257400
## 5105               Data Engineering             USD 210600        210600
## 5106    Data Quality and Operations             USD  65000         65000
## 5107    Data Quality and Operations             USD  50000         50000
## 5108               Data Engineering             USD 293000        293000
## 5109               Data Engineering             USD 180000        180000
## 5110      Data Science and Research             USD 260000        260000
## 5111      Data Science and Research             USD 192000        192000
## 5112        Machine Learning and AI             USD 170000        170000
## 5113        Machine Learning and AI             USD 125000        125000
## 5114                  Data Analysis             USD  99000         99000
## 5115                  Data Analysis             USD 130000        130000
## 5116                  Data Analysis             USD 100000        100000
## 5117        Machine Learning and AI             USD 233000        233000
## 5118        Machine Learning and AI             USD 166000        166000
## 5119               Data Engineering             USD 185100        185100
## 5120               Data Engineering             USD 127600        127600
## 5121                  Data Analysis             USD 105000        105000
## 5122                  Data Analysis             USD  80000         80000
## 5123                  Data Analysis             USD 160000        160000
## 5124                  Data Analysis             USD  55000         55000
## 5125        Machine Learning and AI             USD 241000        241000
## 5126        Machine Learning and AI             USD 163000        163000
## 5127      Data Science and Research             USD 120000        120000
## 5128      Data Science and Research             USD  90000         90000
## 5129      Data Science and Research             USD 218000        218000
## 5130      Data Science and Research             USD 118000        118000
## 5131      Data Science and Research             USD 210000        210000
## 5132      Data Science and Research             USD 168000        168000
## 5133        Machine Learning and AI             USD 311000        311000
## 5134        Machine Learning and AI             USD 162540        162540
## 5135                  Data Analysis             GBP  42000         51676
## 5136                  Data Analysis             GBP  35000         43064
## 5137      Data Science and Research             USD 258750        258750
## 5138      Data Science and Research             USD 185000        185000
## 5139      Data Science and Research             USD 225000        225000
## 5140      Data Science and Research             USD 145000        145000
## 5141        Machine Learning and AI             USD 226600        226600
## 5142        Machine Learning and AI             USD 140100        140100
## 5143      Data Science and Research             EUR  45000         48585
## 5144      Data Science and Research             EUR  36000         38868
## 5145      Data Science and Research             USD 190000        190000
## 5146      Data Science and Research             USD 165000        165000
## 5147      Data Science and Research             USD 175000        175000
## 5148      Data Science and Research             USD 160000        160000
## 5149        Machine Learning and AI             USD 247500        247500
## 5150        Machine Learning and AI             USD 172200        172200
## 5151        Machine Learning and AI             USD 247500        247500
## 5152        Machine Learning and AI             USD 172200        172200
## 5153               Data Engineering             USD 153600        153600
## 5154               Data Engineering             USD 106800        106800
## 5155           BI and Visualization             USD 140000        140000
## 5156           BI and Visualization             USD  76500         76500
## 5157               Data Engineering             USD 182850        182850
## 5158               Data Engineering             USD 113000        113000
## 5159               Data Engineering             USD 150000        150000
## 5160               Data Engineering             USD 120000        120000
## 5161                  Data Analysis             USD 105000        105000
## 5162                  Data Analysis             USD  95000         95000
## 5163 Data Architecture and Modeling             USD 306000        306000
## 5164 Data Architecture and Modeling             USD 204000        204000
## 5165      Data Science and Research             USD 160000        160000
## 5166      Data Science and Research             USD 135000        135000
## 5167 Data Architecture and Modeling             GBP  85000        104584
## 5168 Data Architecture and Modeling             GBP  75000         92280
## 5169                  Data Analysis             USD 126000        126000
## 5170                  Data Analysis             USD  86400         86400
## 5171               Data Engineering             USD 232760        232760
## 5172               Data Engineering             USD 169280        169280
## 5173                  Data Analysis             USD 136000        136000
## 5174                  Data Analysis             USD 104000        104000
## 5175      Data Science and Research             USD 185900        185900
## 5176      Data Science and Research             USD 129300        129300
## 5177      Data Science and Research             USD 168000        168000
## 5178      Data Science and Research             USD 130000        130000
## 5179      Data Science and Research             USD 185900        185900
## 5180      Data Science and Research             USD 129300        129300
## 5181               Data Engineering             USD 162500        162500
## 5182               Data Engineering             USD 130000        130000
## 5183      Data Science and Research             USD 240350        240350
## 5184      Data Science and Research             USD 174800        174800
## 5185        Machine Learning and AI             USD 247500        247500
## 5186        Machine Learning and AI             USD 172200        172200
## 5187               Data Engineering             USD 154000        154000
## 5188               Data Engineering             USD 116000        116000
## 5189      Data Science and Research             USD 168000        168000
## 5190      Data Science and Research             USD 130000        130000
## 5191                  Data Analysis             USD 153600        153600
## 5192                  Data Analysis             USD 107500        107500
## 5193                  Data Analysis             USD  94100         94100
## 5194                  Data Analysis             USD  72400         72400
## 5195        Machine Learning and AI             USD 178000        178000
## 5196        Machine Learning and AI             USD 152000        152000
## 5197      Data Science and Research             USD 192000        192000
## 5198      Data Science and Research             USD 164000        164000
## 5199      Data Science and Research             USD 233200        233200
## 5200      Data Science and Research             USD 140000        140000
## 5201               Data Engineering             USD 194000        194000
## 5202               Data Engineering             USD 161000        161000
## 5203           BI and Visualization             USD 225000        225000
## 5204           BI and Visualization             USD 156400        156400
## 5205        Machine Learning and AI             USD 210000        210000
## 5206        Machine Learning and AI             USD 160000        160000
## 5207                  Data Analysis             USD 153600        153600
## 5208                  Data Analysis             USD 107500        107500
## 5209               Data Engineering             USD 185900        185900
## 5210               Data Engineering             USD 129300        129300
## 5211      Data Science and Research             USD 145000        145000
## 5212      Data Science and Research             USD 120000        120000
## 5213                  Data Analysis             USD 206000        206000
## 5214                  Data Analysis             USD 130000        130000
## 5215                  Data Analysis             USD 153600        153600
## 5216                  Data Analysis             USD 107500        107500
## 5217               Data Engineering             USD 146100        146100
## 5218               Data Engineering             USD 112400        112400
## 5219               Data Engineering             USD 241000        241000
## 5220               Data Engineering             USD 155000        155000
## 5221               Data Engineering             USD 194500        194500
## 5222               Data Engineering             USD 115500        115500
## 5223   Data Management and Strategy             USD 110000        110000
## 5224   Data Management and Strategy             USD  70000         70000
## 5225        Machine Learning and AI             USD 199000        199000
## 5226        Machine Learning and AI             USD 145000        145000
## 5227      Data Science and Research             USD 200000        200000
## 5228      Data Science and Research             USD 170000        170000
## 5229      Data Science and Research             USD 150120        150120
## 5230      Data Science and Research             USD 120096        120096
## 5231        Machine Learning and AI             USD 253000        253000
## 5232        Machine Learning and AI             USD 168000        168000
## 5233      Data Science and Research             USD 200000        200000
## 5234      Data Science and Research             USD 170000        170000
## 5235      Data Science and Research             USD 185900        185900
## 5236      Data Science and Research             USD 129300        129300
## 5237      Leadership and Management             USD 178600        178600
## 5238      Leadership and Management             USD 142880        142880
## 5239      Data Science and Research             USD 255000        255000
## 5240      Data Science and Research             USD 169000        169000
## 5241      Data Science and Research             USD 155000        155000
## 5242      Data Science and Research             USD 100000        100000
## 5243               Data Engineering             USD 151410        151410
## 5244               Data Engineering             USD 144200        144200
## 5245      Data Science and Research             USD 151410        151410
## 5246      Data Science and Research             USD 115360        115360
## 5247               Data Engineering             USD 252000        252000
## 5248               Data Engineering             USD 129000        129000
## 5249      Leadership and Management             USD 193170        193170
## 5250      Leadership and Management             USD 116480        116480
## 5251      Data Science and Research             USD 250000        250000
## 5252      Data Science and Research             USD 125000        125000
## 5253               Data Engineering             USD 146000        146000
## 5254               Data Engineering             USD  94000         94000
## 5255      Data Science and Research             GBP 200000        246080
## 5256      Data Science and Research             GBP 165000        203016
## 5257      Leadership and Management             GBP 110000        135344
## 5258      Leadership and Management             GBP  90000        110736
## 5259      Data Science and Research             USD 260000        260000
## 5260      Data Science and Research             USD 136000        136000
## 5261      Leadership and Management             USD 329500        329500
## 5262      Leadership and Management             USD 269600        269600
## 5263 Data Architecture and Modeling             USD 250500        250500
## 5264 Data Architecture and Modeling             USD 159500        159500
## 5265                  Data Analysis             USD 115000        115000
## 5266                  Data Analysis             USD 105000        105000
## 5267      Data Science and Research             USD 250000        250000
## 5268      Data Science and Research             USD 170000        170000
## 5269      Data Science and Research             USD 198800        198800
## 5270      Data Science and Research             USD 105200        105200
## 5271                  Data Analysis             USD  94035         94035
## 5272                  Data Analysis             USD  57920         57920
## 5273      Data Science and Research             USD 222200        222200
## 5274      Data Science and Research             USD 136000        136000
## 5275                  Data Analysis             USD 113600        113600
## 5276                  Data Analysis             USD  60000         60000
## 5277               Data Engineering             USD 150000        150000
## 5278               Data Engineering             USD 130000        130000
## 5279      Data Science and Research             USD 256000        256000
## 5280      Data Science and Research             USD 160000        160000
## 5281               Data Engineering             USD 180000        180000
## 5282               Data Engineering             USD 165000        165000
## 5283                  Data Analysis             USD 116000        116000
## 5284                  Data Analysis             USD  78000         78000
## 5285        Machine Learning and AI             USD 245000        245000
## 5286        Machine Learning and AI             USD 210000        210000
## 5287                  Data Analysis             USD 115934        115934
## 5288                  Data Analysis             USD  81666         81666
## 5289        Machine Learning and AI             USD 283200        283200
## 5290        Machine Learning and AI             USD 188800        188800
## 5291      Data Science and Research             USD 220000        220000
## 5292      Data Science and Research             USD 150000        150000
## 5293      Data Science and Research             USD 192000        192000
## 5294      Data Science and Research             USD 164000        164000
## 5295                  Data Analysis             USD  36000         36000
## 5296      Data Science and Research             USD 205640        205640
## 5297      Data Science and Research             USD 142600        142600
## 5298               Data Engineering             USD 193200        193200
## 5299               Data Engineering             USD 156400        156400
## 5300        Machine Learning and AI             USD 196000        196000
## 5301        Machine Learning and AI             USD 121000        121000
## 5302               Data Engineering             USD  72000         72000
## 5303               Data Engineering             USD  48000         48000
## 5304               Data Engineering             USD 165000        165000
## 5305               Data Engineering             USD 132300        132300
## 5306      Data Science and Research             USD 244000        244000
## 5307      Data Science and Research             USD 197000        197000
## 5308      Data Science and Research             USD 328000        328000
## 5309      Data Science and Research             USD 211000        211000
## 5310      Data Science and Research             USD 237000        237000
## 5311      Data Science and Research             USD 201450        201450
## 5312        Machine Learning and AI             USD 229000        229000
## 5313        Machine Learning and AI             USD 206000        206000
## 5314      Data Science and Research             USD 231000        231000
## 5315      Data Science and Research             USD 134000        134000
## 5316        Machine Learning and AI             USD 183750        183750
## 5317        Machine Learning and AI             USD 165400        165400
## 5318               Data Engineering             USD 175000        175000
## 5319               Data Engineering             USD 125000        125000
## 5320      Leadership and Management             USD 152900        152900
## 5321      Leadership and Management             USD 117700        117700
## 5322      Data Science and Research             USD 285800        285800
## 5323      Data Science and Research             USD 154600        154600
## 5324    Data Quality and Operations             USD 289120        289120
## 5325    Data Quality and Operations             USD 192400        192400
## 5326                  Data Analysis             USD 179998        179998
## 5327      Data Science and Research             USD  35000         35000
## 5328               Data Engineering             USD 230000        230000
## 5329               Data Engineering             USD 166000        166000
## 5330 Data Architecture and Modeling             USD 258000        258000
## 5331      Data Science and Research             USD 225000        225000
## 5332      Data Science and Research             USD 156400        156400
## 5333               Data Engineering             USD 190000        190000
## 5334               Data Engineering             USD 150000        150000
## 5335      Data Science and Research             USD 196000        196000
## 5336      Data Science and Research             USD 121000        121000
## 5337      Data Science and Research             USD 219000        219000
## 5338      Data Science and Research             USD 141000        141000
## 5339               Data Engineering             USD 230000        230000
## 5340               Data Engineering             USD 206000        206000
## 5341      Data Science and Research             USD 192000        192000
## 5342      Data Science and Research             USD 164000        164000
## 5343        Machine Learning and AI             USD 300000        300000
## 5344        Machine Learning and AI             USD 260000        260000
## 5345                  Data Analysis             USD 147000        147000
## 5346                  Data Analysis             USD  92000         92000
## 5347        Machine Learning and AI             USD 200000        200000
## 5348        Machine Learning and AI             USD 140000        140000
## 5349      Leadership and Management             USD 110000        110000
## 5350      Leadership and Management             USD  70000         70000
## 5351               Data Engineering             USD 284310        284310
## 5352               Data Engineering             USD 153090        153090
## 5353        Machine Learning and AI             USD 261500        261500
## 5354        Machine Learning and AI             USD 134500        134500
## 5355                  Data Analysis             USD  83200         83200
## 5356               Data Engineering             USD 204500        204500
## 5357               Data Engineering             USD 142200        142200
## 5358                  Data Analysis             USD 145000        145000
## 5359                  Data Analysis             USD 106000        106000
## 5360      Data Science and Research             USD 190000        190000
## 5361      Data Science and Research             USD 160000        160000
## 5362      Leadership and Management             USD 275300        275300
## 5363      Leadership and Management             USD 183500        183500
## 5364               Data Engineering             GBP 120000        147648
## 5365               Data Engineering             GBP 100000        123040
## 5366               Data Engineering             USD 182850        182850
## 5367               Data Engineering             USD 113000        113000
## 5368           BI and Visualization             USD 202800        202800
## 5369           BI and Visualization             USD 104300        104300
## 5370               Data Engineering             USD 215000        215000
## 5371               Data Engineering             USD 175000        175000
## 5372      Data Science and Research             USD 228856        228856
## 5373      Data Science and Research             USD 144540        144540
## 5374               Data Engineering             USD 162500        162500
## 5375               Data Engineering             USD 130000        130000
## 5376      Data Science and Research             USD 140000        140000
## 5377      Data Science and Research             USD 115000        115000
## 5378               Data Engineering             USD 136600        136600
## 5379               Data Engineering             USD 109280        109280
## 5380        Machine Learning and AI             USD 221000        221000
## 5381        Machine Learning and AI             USD 185000        185000
## 5382                  Data Analysis             USD  84000         84000
## 5383                  Data Analysis             USD  60000         60000
## 5384      Leadership and Management             GBP  60000         73824
## 5385      Leadership and Management             GBP  50000         61520
## 5386                  Data Analysis             USD  70000         70000
## 5387        Machine Learning and AI             USD  60000         60000
## 5388      Data Science and Research             USD 281000        281000
## 5389      Data Science and Research             USD 196000        196000
## 5390               Data Engineering             USD 146000        146000
## 5391               Data Engineering             USD  94000         94000
## 5392   Data Management and Strategy             USD  69500         69500
## 5393   Data Management and Strategy             USD  46400         46400
## 5394               Data Engineering             USD 185000        185000
## 5395               Data Engineering             USD 150000        150000
## 5396               Data Engineering             USD 145000        145000
## 5397               Data Engineering             USD 115000        115000
## 5398               Data Engineering             USD 254000        254000
## 5399               Data Engineering             USD 200000        200000
## 5400      Data Science and Research             USD 260000        260000
## 5401      Data Science and Research             USD 136000        136000
## 5402      Data Science and Research             USD 281000        281000
## 5403      Data Science and Research             USD 181000        181000
## 5404 Data Architecture and Modeling             USD 285000        285000
## 5405 Data Architecture and Modeling             USD 210000        210000
## 5406                  Data Analysis             USD  69525         69525
## 5407                  Data Analysis             USD  61800         61800
## 5408      Data Science and Research             USD 192000        192000
## 5409      Data Science and Research             USD 164000        164000
## 5410        Machine Learning and AI             USD 178000        178000
## 5411        Machine Learning and AI             USD 152000        152000
## 5412           BI and Visualization             USD 160000        160000
## 5413      Data Science and Research             USD  40000         40000
## 5414                  Data Analysis             USD 125000        125000
## 5415                  Data Analysis             USD  95000         95000
## 5416           BI and Visualization             USD 130000        130000
## 5417           BI and Visualization             USD 110000        110000
## 5418      Data Science and Research             EUR  45000         48585
## 5419      Data Science and Research             EUR  36000         38868
## 5420               Data Engineering             USD 145000        145000
## 5421               Data Engineering             USD 120000        120000
## 5422        Machine Learning and AI             USD 283200        283200
## 5423        Machine Learning and AI             USD 188800        188800
## 5424      Data Science and Research             USD 225000        225000
## 5425      Data Science and Research             USD 168000        168000
## 5426      Data Science and Research             USD 140000        140000
## 5427      Data Science and Research             USD 105000        105000
## 5428      Data Science and Research             USD 130001        130001
## 5429      Data Science and Research             USD  71907         71907
## 5430      Leadership and Management             USD 144000        144000
## 5431      Leadership and Management             USD  80000         80000
## 5432 Data Architecture and Modeling             USD 205000        205000
## 5433 Data Architecture and Modeling             USD 150000        150000
## 5434                  Data Analysis             USD 189400        189400
## 5435                  Data Analysis             USD 131685        131685
## 5436      Leadership and Management             USD 204500        204500
## 5437      Leadership and Management             USD 142200        142200
## 5438      Data Science and Research             USD 150000        150000
## 5439      Data Science and Research             USD 130000        130000
## 5440               Data Engineering             USD 120000        120000
## 5441               Data Engineering             USD 120000        120000
## 5442                  Data Analysis             USD 172000        172000
## 5443                  Data Analysis             USD 110000        110000
## 5444      Data Science and Research             USD 260000        260000
## 5445      Data Science and Research             USD 136000        136000
## 5446                  Data Analysis             USD 110000        110000
## 5447                  Data Analysis             USD  90000         90000
## 5448                  Data Analysis             USD  60000         60000
## 5449      Data Science and Research             CAD 105000         77791
## 5450      Data Science and Research             GBP  45000         55410
## 5451                  Data Analysis             USD  57000         57000
## 5452        Machine Learning and AI             USD 120000        120000
## 5453 Data Architecture and Modeling             USD 168400        168400
## 5454 Data Architecture and Modeling             USD  90700         90700
## 5455                  Data Analysis             USD 150000        150000
## 5456                  Data Analysis             USD  95000         95000
## 5457               Data Engineering             USD 161000        161000
## 5458               Data Engineering             USD  85000         85000
## 5459      Data Science and Research             USD 240000        240000
## 5460      Data Science and Research             USD 157250        157250
## 5461      Data Science and Research             USD 260000        260000
## 5462      Data Science and Research             USD 136000        136000
## 5463      Data Science and Research             USD 277500        277500
## 5464      Data Science and Research             USD 206000        206000
## 5465        Machine Learning and AI             USD 165000        165000
## 5466        Machine Learning and AI             USD 150000        150000
## 5467      Data Science and Research             USD 222200        222200
## 5468      Data Science and Research             USD 136000        136000
## 5469      Data Science and Research             USD 236500        236500
## 5470      Data Science and Research             USD 176000        176000
## 5471                  Data Analysis             USD 155000        155000
## 5472                  Data Analysis             USD 120000        120000
## 5473      Data Science and Research             USD 172800        172800
## 5474      Data Science and Research             USD 110000        110000
## 5475      Data Science and Research             USD 260000        260000
## 5476      Data Science and Research             USD 136000        136000
## 5477               Data Engineering             USD 171250        171250
## 5478               Data Engineering             USD 113750        113750
## 5479                  Data Analysis             USD  60000         60000
## 5480               Data Engineering             USD 100000        100000
## 5481                  Data Analysis             EUR 300000        323905
## 5482               Data Engineering             USD 146000        146000
## 5483               Data Engineering             USD  75000         75000
## 5484               Data Engineering             USD 146000        146000
## 5485               Data Engineering             USD  75000         75000
## 5486      Data Science and Research             USD 150000        150000
## 5487      Data Science and Research             USD 100000        100000
## 5488                  Data Analysis             USD  62000         62000
## 5489                  Data Analysis             USD  55000         55000
## 5490      Leadership and Management             USD 155000        155000
## 5491      Leadership and Management             USD 140000        140000
## 5492      Data Science and Research             USD  36000         36000
## 5493        Machine Learning and AI             USD 247500        247500
## 5494        Machine Learning and AI             USD 172200        172200
## 5495   Data Management and Strategy             USD 110000        110000
## 5496   Data Management and Strategy             USD  70000         70000
## 5497        Machine Learning and AI             USD 230000        230000
## 5498        Machine Learning and AI             USD 140100        140100
## 5499        Machine Learning and AI             USD 297300        297300
## 5500        Machine Learning and AI             USD 198200        198200
## 5501               Data Engineering             USD 204000        204000
## 5502               Data Engineering             USD 161500        161500
## 5503    Data Quality and Operations             USD 144000        144000
## 5504    Data Quality and Operations             USD  77000         77000
## 5505   Data Management and Strategy             USD  87500         87500
## 5506   Data Management and Strategy             USD  62500         62500
## 5507                  Data Analysis             USD 160000        160000
## 5508                  Data Analysis             USD 135000        135000
## 5509        Machine Learning and AI             USD 216000        216000
## 5510        Machine Learning and AI             USD 184000        184000
## 5511 Data Architecture and Modeling             GBP  90000        110736
## 5512 Data Architecture and Modeling             GBP  45000         55368
## 5513      Data Science and Research             USD 253000        253000
## 5514      Data Science and Research             USD 156400        156400
## 5515               Data Engineering             USD 265000        265000
## 5516               Data Engineering             USD 200000        200000
## 5517               Data Engineering             USD 217000        217000
## 5518               Data Engineering             USD 185000        185000
## 5519      Data Science and Research             USD 177300        177300
## 5520      Data Science and Research             USD 136300        136300
## 5521                  Data Analysis             USD  83000         83000
## 5522                  Data Analysis             USD  72000         72000
## 5523                  Data Analysis             USD 208450        208450
## 5524                  Data Analysis             USD 170550        170550
## 5525               Data Engineering             USD  72000         72000
## 5526               Data Engineering             USD  60000         60000
## 5527        Machine Learning and AI             USD 200000        200000
## 5528        Machine Learning and AI             USD 130000        130000
## 5529      Data Science and Research             USD 190000        190000
## 5530      Data Science and Research             USD 165000        165000
## 5531      Data Science and Research             USD 165000        165000
## 5532      Data Science and Research             USD 145000        145000
## 5533      Data Science and Research             USD 222200        222200
## 5534      Data Science and Research             USD 136000        136000
## 5535      Data Science and Research             USD 336400        336400
## 5536      Data Science and Research             USD 201900        201900
## 5537      Data Science and Research             USD 189750        189750
## 5538      Data Science and Research             USD 131100        131100
## 5539      Data Science and Research             USD 270000        270000
## 5540      Data Science and Research             USD  95000         95000
## 5541               Data Engineering             USD 170000        170000
## 5542               Data Engineering             USD 120000        120000
## 5543               Data Engineering             USD 117300        117300
## 5544               Data Engineering             USD  69000         69000
## 5545               Data Engineering             USD 182000        182000
## 5546               Data Engineering             USD 144000        144000
## 5547      Data Science and Research             USD 244000        244000
## 5548      Data Science and Research             USD 200000        200000
## 5549                  Data Analysis             USD 120000        120000
## 5550                  Data Analysis             USD 100000        100000
## 5551               Data Engineering             USD 260000        260000
## 5552               Data Engineering             USD 175000        175000
## 5553               Data Engineering             USD 190000        190000
## 5554               Data Engineering             USD 150000        150000
## 5555      Data Science and Research             USD 210000        210000
## 5556      Data Science and Research             USD 160000        160000
## 5557      Data Science and Research             USD 210000        210000
## 5558      Data Science and Research             USD 160000        160000
## 5559      Data Science and Research             USD 210000        210000
## 5560      Data Science and Research             USD 160000        160000
## 5561      Data Science and Research             USD 210000        210000
## 5562      Data Science and Research             USD 160000        160000
## 5563      Data Science and Research             USD 210000        210000
## 5564      Data Science and Research             USD 160000        160000
## 5565        Machine Learning and AI             USD 250000        250000
## 5566        Machine Learning and AI             USD 100000        100000
## 5567        Machine Learning and AI             USD 225000        225000
## 5568        Machine Learning and AI             USD 175000        175000
## 5569      Data Science and Research             USD 210000        210000
## 5570      Data Science and Research             USD 160000        160000
## 5571      Data Science and Research             USD 210000        210000
## 5572      Data Science and Research             USD 160000        160000
## 5573      Data Science and Research             USD 210000        210000
## 5574      Data Science and Research             USD 160000        160000
## 5575      Data Science and Research             USD 236500        236500
## 5576      Data Science and Research             USD 176000        176000
## 5577      Data Science and Research             USD 105000        105000
## 5578      Data Science and Research             USD 102500        102500
## 5579      Data Science and Research             USD 370000        370000
## 5580      Data Science and Research             USD 200000        200000
## 5581               Data Engineering             USD 260000        260000
## 5582               Data Engineering             USD 225000        225000
## 5583      Data Science and Research             USD 370000        370000
## 5584      Data Science and Research             USD 200000        200000
## 5585               Data Engineering             USD 186600        186600
## 5586               Data Engineering             USD 116500        116500
## 5587               Data Engineering             USD  80000         80000
## 5588               Data Engineering             USD  60000         60000
## 5589      Data Science and Research             USD 299500        299500
## 5590      Data Science and Research             USD 245100        245100
## 5591        Machine Learning and AI             USD 222000        222000
## 5592        Machine Learning and AI             USD 138000        138000
## 5593                  Data Analysis             USD 207300        207300
## 5594                  Data Analysis             USD 149200        149200
## 5595        Machine Learning and AI             USD 292000        292000
## 5596        Machine Learning and AI             USD 164500        164500
## 5597        Machine Learning and AI             USD 292200        292200
## 5598        Machine Learning and AI             USD 164500        164500
## 5599               Data Engineering             USD 163800        163800
## 5600               Data Engineering             USD 126000        126000
## 5601      Data Science and Research             USD 160000        160000
## 5602      Data Science and Research             USD 120000        120000
## 5603                  Data Analysis             USD 140000        140000
## 5604                  Data Analysis             USD 120000        120000
## 5605        Machine Learning and AI             USD 120000        120000
## 5606        Machine Learning and AI             USD 280000        280000
## 5607        Machine Learning and AI             USD 210000        210000
## 5608      Data Science and Research             USD 170000        170000
## 5609      Data Science and Research             USD 150000        150000
## 5610        Machine Learning and AI             USD 200000        200000
## 5611        Machine Learning and AI             USD 170000        170000
## 5612      Data Science and Research             USD 225000        225000
## 5613      Data Science and Research             USD 175000        175000
## 5614      Data Science and Research             USD 189750        189750
## 5615      Data Science and Research             USD 131100        131100
## 5616                  Data Analysis             USD 123400        123400
## 5617                  Data Analysis             USD  82200         82200
## 5618               Data Engineering             GBP  40000         49216
## 5619               Data Engineering             GBP  35000         43064
## 5620        Machine Learning and AI             USD 225000        225000
## 5621      Leadership and Management             USD  50000         50000
## 5622               Data Engineering             USD 161800        161800
## 5623               Data Engineering             USD 121400        121400
## 5624      Data Science and Research             USD 285000        285000
## 5625      Data Science and Research             USD 193900        193900
## 5626      Leadership and Management             USD 240000        240000
## 5627      Leadership and Management             USD 196000        196000
## 5628      Data Science and Research             USD 214000        214000
## 5629      Data Science and Research             USD 164000        164000
## 5630      Data Science and Research             USD 170000        170000
## 5631      Data Science and Research             USD 155000        155000
## 5632                  Data Analysis             USD 125000        125000
## 5633                  Data Analysis             USD  98000         98000
## 5634        Machine Learning and AI             USD 199000        199000
## 5635        Machine Learning and AI             USD 145000        145000
## 5636        Machine Learning and AI             USD 260000        260000
## 5637        Machine Learning and AI             USD 200000        200000
## 5638      Data Science and Research             EUR 100000        105066
## 5639               Data Engineering             GBP  90000        110736
## 5640               Data Engineering             GBP  70000         86128
## 5641      Data Science and Research             USD 185900        185900
## 5642      Data Science and Research             USD 129300        129300
## 5643               Data Engineering             USD 200000        200000
## 5644               Data Engineering             USD 145000        145000
## 5645               Data Engineering             USD 175000        175000
## 5646               Data Engineering             USD 120000        120000
## 5647               Data Engineering             USD 145000        145000
## 5648               Data Engineering             USD 120000        120000
## 5649               Data Engineering             USD 252000        252000
## 5650               Data Engineering             USD 129000        129000
## 5651      Leadership and Management             USD 289800        289800
## 5652      Leadership and Management             USD 214000        214000
## 5653                  Data Analysis             USD 142000        142000
## 5654                  Data Analysis             USD  87500         87500
## 5655      Data Science and Research             USD 222200        222200
## 5656      Data Science and Research             USD 136000        136000
## 5657        Machine Learning and AI             USD 220000        220000
## 5658        Machine Learning and AI             USD 165000        165000
## 5659      Data Science and Research             EUR  45000         48585
## 5660      Data Science and Research             EUR  36000         38868
## 5661      Data Science and Research             USD 280830        280830
## 5662      Data Science and Research             USD 173175        173175
## 5663      Data Science and Research             USD 195000        195000
## 5664      Data Science and Research             USD 160000        160000
## 5665      Data Science and Research             USD 275300        275300
## 5666      Data Science and Research             USD 183500        183500
## 5667      Data Science and Research             USD 175000        175000
## 5668      Data Science and Research             USD 145000        145000
## 5669                  Data Analysis             USD 105000        105000
## 5670                  Data Analysis             USD  85000         85000
## 5671      Data Science and Research             USD 175000        175000
## 5672      Data Science and Research             USD 160000        160000
## 5673           BI and Visualization             GBP  75000         92280
## 5674           BI and Visualization             GBP  40000         49216
## 5675               Data Engineering             USD 162500        162500
## 5676               Data Engineering             USD 130000        130000
## 5677        Machine Learning and AI             EUR  69500         75038
## 5678        Machine Learning and AI             EUR  60000         64781
## 5679               Data Engineering             USD 174350        174350
## 5680               Data Engineering             USD 126800        126800
## 5681        Machine Learning and AI             EUR  66200         71475
## 5682        Machine Learning and AI             EUR  57000         61541
## 5683               Data Engineering             USD 245000        245000
## 5684               Data Engineering             USD 140000        140000
## 5685      Leadership and Management             USD 231250        231250
## 5686      Leadership and Management             USD 138750        138750
## 5687        Machine Learning and AI             USD 155000        155000
## 5688        Machine Learning and AI             USD 125000        125000
## 5689               Data Engineering             USD 242000        242000
## 5690               Data Engineering             USD 195000        195000
## 5691      Data Science and Research             USD 155000        155000
## 5692      Data Science and Research             USD 125000        125000
## 5693      Data Science and Research             USD 222200        222200
## 5694      Data Science and Research             USD 136000        136000
## 5695        Machine Learning and AI             USD 160000        160000
## 5696        Machine Learning and AI             USD 140000        140000
## 5697   Data Management and Strategy             USD 110000        110000
## 5698   Data Management and Strategy             USD  70000         70000
## 5699      Data Science and Research             USD 183924        183924
## 5700      Data Science and Research             USD 125760        125760
## 5701                  Data Analysis             USD 150000        150000
## 5702                  Data Analysis             USD 105000        105000
## 5703      Leadership and Management             GBP 350000        430640
## 5704      Leadership and Management             GBP  50000         61520
## 5705      Data Science and Research             EUR  80000         86374
## 5706        Machine Learning and AI             USD  30000         30000
## 5707        Machine Learning and AI             USD  25500         25500
## 5708      Data Science and Research             USD 175000        175000
## 5709      Data Science and Research             USD 120000        120000
## 5710      Data Science and Research             USD 222200        222200
## 5711      Data Science and Research             USD 136000        136000
## 5712      Data Science and Research             USD 219000        219000
## 5713      Data Science and Research             USD 141000        141000
## 5714      Data Science and Research             USD 147100        147100
## 5715      Data Science and Research             USD  90700         90700
## 5716                  Data Analysis             USD 130000        130000
## 5717                  Data Analysis             USD 100000        100000
## 5718      Data Science and Research             USD 213660        213660
## 5719      Data Science and Research             USD 130760        130760
## 5720 Data Architecture and Modeling             USD 147100        147100
## 5721 Data Architecture and Modeling             USD  90700         90700
## 5722      Data Science and Research             USD 170000        170000
## 5723      Data Science and Research             USD 150000        150000
## 5724                  Data Analysis             USD 150000        150000
## 5725                  Data Analysis             USD 110000        110000
## 5726      Data Science and Research             USD 275000        275000
## 5727      Data Science and Research             USD 174000        174000
## 5728      Leadership and Management             USD 230000        230000
## 5729      Leadership and Management             USD 143200        143200
## 5730           BI and Visualization             USD 225000        225000
## 5731           BI and Visualization             USD 156400        156400
## 5732        Machine Learning and AI             USD 200000        200000
## 5733        Machine Learning and AI             USD 130000        130000
## 5734 Data Architecture and Modeling             USD  90000         90000
## 5735 Data Architecture and Modeling             USD  72000         72000
## 5736               Data Engineering             USD 253200        253200
## 5737               Data Engineering             USD  90700         90700
## 5738        Machine Learning and AI             USD 342810        342810
## 5739        Machine Learning and AI             USD 184590        184590
## 5740               Data Engineering             USD 162500        162500
## 5741               Data Engineering             USD 130000        130000
## 5742                  Data Analysis             USD 105380        105380
## 5743                  Data Analysis             USD  64500         64500
## 5744                  Data Analysis             USD  30000         30000
## 5745      Data Science and Research             USD 204620        204620
## 5746      Data Science and Research             USD 110680        110680
## 5747               Data Engineering             USD 270703        270703
## 5748               Data Engineering             USD 221484        221484
## 5749      Data Science and Research             USD 212750        212750
## 5750      Data Science and Research             USD 185000        185000
## 5751      Data Science and Research             USD 262000        262000
## 5752      Data Science and Research             USD 245000        245000
## 5753      Data Science and Research             USD 275300        275300
## 5754      Data Science and Research             USD 183500        183500
## 5755      Data Science and Research             USD 218500        218500
## 5756      Data Science and Research             USD 199098        199098
## 5757               Data Engineering             USD 203300        203300
## 5758               Data Engineering             USD 123600        123600
## 5759      Data Science and Research             USD 189110        189110
## 5760      Data Science and Research             USD 139000        139000
## 5761      Data Science and Research             USD 258750        258750
## 5762      Data Science and Research             USD 185000        185000
## 5763               Data Engineering             USD 231500        231500
## 5764               Data Engineering             USD 166000        166000
## 5765      Data Science and Research             USD 172500        172500
## 5766      Data Science and Research             USD 110500        110500
## 5767               Data Engineering             USD 238000        238000
## 5768               Data Engineering             USD 176000        176000
## 5769               Data Engineering             USD 237000        237000
## 5770               Data Engineering             USD 201450        201450
## 5771      Data Science and Research             USD 309400        309400
## 5772      Data Science and Research             USD 159100        159100
## 5773               Data Engineering             USD 115000        115000
## 5774               Data Engineering             USD  81500         81500
## 5775      Data Science and Research             USD 237000        237000
## 5776      Data Science and Research             USD 201450        201450
## 5777        Machine Learning and AI             USD 280000        280000
## 5778        Machine Learning and AI             USD 210000        210000
## 5779 Data Architecture and Modeling             USD 280100        280100
## 5780 Data Architecture and Modeling             USD 168100        168100
## 5781               Data Engineering             USD 193500        193500
## 5782               Data Engineering             USD 139000        139000
## 5783        Machine Learning and AI             USD 150000        150000
## 5784        Machine Learning and AI             EUR  65000         70179
## 5785        Machine Learning and AI             EUR  90000         97171
## 5786           BI and Visualization             USD 185900        185900
## 5787           BI and Visualization             USD 129300        129300
## 5788               Data Engineering             USD 225000        225000
## 5789               Data Engineering             USD 175000        175000
## 5790               Data Engineering             USD 185000        185000
## 5791               Data Engineering             USD 140000        140000
## 5792      Data Science and Research             EUR  45000         48585
## 5793      Data Science and Research             EUR  36000         38868
## 5794      Data Science and Research             USD 105000        105000
## 5795      Data Science and Research             USD  70000         70000
## 5796        Machine Learning and AI             USD 163196        163196
## 5797        Machine Learning and AI             USD 145885        145885
## 5798               Data Engineering             USD 217000        217000
## 5799               Data Engineering             USD 185000        185000
## 5800                  Data Analysis             USD 202800        202800
## 5801                  Data Analysis             USD 104300        104300
## 5802                  Data Analysis             USD 145000        145000
## 5803                  Data Analysis             USD  65000         65000
## 5804               Data Engineering             USD 165000        165000
## 5805               Data Engineering             USD 132300        132300
## 5806               Data Engineering             USD 179170        179170
## 5807               Data Engineering             USD  94300         94300
## 5808      Leadership and Management             USD 152500        152500
## 5809      Leadership and Management             USD 116450        116450
## 5810               Data Engineering             USD 247300        247300
## 5811               Data Engineering             USD 133800        133800
## 5812      Data Science and Research             USD 203000        203000
## 5813      Data Science and Research             USD 133000        133000
## 5814      Data Science and Research             USD 220000        220000
## 5815        Machine Learning and AI             CHF  54000         56536
## 5816      Data Science and Research             USD 150000        150000
## 5817      Data Science and Research             USD 120000        120000
## 5818      Leadership and Management             USD 289800        289800
## 5819      Leadership and Management             USD 214000        214000
## 5820      Leadership and Management             USD 179820        179820
## 5821      Leadership and Management             USD 143860        143860
## 5822        Machine Learning and AI             USD 283200        283200
## 5823        Machine Learning and AI             USD 188800        188800
## 5824      Leadership and Management             USD 289800        289800
## 5825      Leadership and Management             USD 214200        214200
## 5826               Data Engineering             USD 185900        185900
## 5827               Data Engineering             USD 129300        129300
## 5828               Data Engineering             USD 252000        252000
## 5829               Data Engineering             USD 129000        129000
## 5830      Leadership and Management             USD 155000        155000
## 5831      Leadership and Management             USD 140000        140000
## 5832               Data Engineering             USD 161800        161800
## 5833               Data Engineering             USD 141600        141600
## 5834        Machine Learning and AI             USD 342300        342300
## 5835        Machine Learning and AI             USD 176100        176100
## 5836               Data Engineering             USD 100000        100000
## 5837               Data Engineering             USD  70000         70000
## 5838               Data Engineering             USD  85000         85000
## 5839               Data Engineering             USD  65000         65000
## 5840      Data Science and Research             USD 138784        138784
## 5841      Data Science and Research             USD  83270         83270
## 5842                  Data Analysis             USD  75000         75000
## 5843                  Data Analysis             USD  70000         70000
## 5844                  Data Analysis             USD 204500        204500
## 5845                  Data Analysis             USD 138900        138900
## 5846        Machine Learning and AI             USD 318300        318300
## 5847        Machine Learning and AI             USD 212200        212200
## 5848               Data Engineering             USD  95000         95000
## 5849               Data Engineering             USD  75000         75000
## 5850      Data Science and Research             USD 195000        195000
## 5851      Data Science and Research             USD 160000        160000
## 5852      Leadership and Management             USD 230000        230000
## 5853      Leadership and Management             USD 143200        143200
## 5854               Data Engineering             USD 100000        100000
## 5855               Data Engineering             USD  70000         70000
## 5856                  Data Analysis             USD 105000        105000
## 5857                  Data Analysis             GBP  38000         46755
## 5858                  Data Analysis             GBP  35000         43064
## 5859               Data Engineering             USD 145000        145000
## 5860               Data Engineering             USD 115000        115000
## 5861                  Data Analysis             USD 168400        168400
## 5862                  Data Analysis             USD 105200        105200
## 5863      Data Science and Research             USD 309400        309400
## 5864      Data Science and Research             USD 159100        159100
## 5865        Machine Learning and AI             USD 190000        190000
## 5866        Machine Learning and AI             USD 150000        150000
## 5867               Data Engineering             USD 162500        162500
## 5868               Data Engineering             USD 130000        130000
## 5869      Leadership and Management             USD 150000        150000
## 5870      Leadership and Management             USD 120000        120000
## 5871               Data Engineering             USD 145000        145000
## 5872               Data Engineering             USD 120000        120000
## 5873      Data Science and Research             USD 222200        222200
## 5874      Data Science and Research             USD 136000        136000
## 5875                  Data Analysis             GBP  45000         55368
## 5876                  Data Analysis             GBP  35000         43064
## 5877               Data Engineering             USD 241000        241000
## 5878               Data Engineering             USD 155000        155000
## 5879               Data Engineering             USD 220000        220000
## 5880               Data Engineering             USD 190000        190000
## 5881      Data Science and Research             GBP  55000         67672
## 5882      Data Science and Research             GBP  45000         55368
## 5883                  Data Analysis             USD  15000         15000
## 5884               Data Engineering             GBP  70000         86128
## 5885               Data Engineering             GBP  47500         58444
## 5886                  Data Analysis             USD  85000         85000
## 5887                  Data Analysis             USD  75000         75000
## 5888               Data Engineering             USD 160000        160000
## 5889               Data Engineering             USD 140000        140000
## 5890        Machine Learning and AI             USD 300000        300000
## 5891        Machine Learning and AI             USD 250000        250000
## 5892      Data Science and Research             USD 228000        228000
## 5893      Data Science and Research             USD 186000        186000
## 5894      Data Science and Research             USD 190000        190000
## 5895      Data Science and Research             USD 170000        170000
## 5896      Data Science and Research             USD 230000        230000
## 5897      Data Science and Research             USD 200000        200000
## 5898 Data Architecture and Modeling             USD 180000        180000
## 5899 Data Architecture and Modeling             USD 115000        115000
## 5900 Data Architecture and Modeling             USD 200000        200000
## 5901 Data Architecture and Modeling             USD 115000        115000
## 5902               Data Engineering             EUR  50000         53984
## 5903               Data Engineering             USD 220000        220000
## 5904               Data Engineering             USD 205000        205000
## 5905               Data Engineering             USD 180000        180000
## 5906               Data Engineering             USD 130000        130000
## 5907               Data Engineering             USD 200000        200000
## 5908               Data Engineering             USD 150000        150000
## 5909        Machine Learning and AI             USD 215000        215000
## 5910        Machine Learning and AI             USD 170000        170000
## 5911        Machine Learning and AI             USD 247500        247500
## 5912        Machine Learning and AI             USD 172200        172200
## 5913      Data Science and Research             USD 224000        224000
## 5914      Data Science and Research             USD 176000        176000
## 5915                  Data Analysis             USD 120000        120000
## 5916                  Data Analysis             USD  75000         75000
## 5917      Data Science and Research             AUD 100000         67635
## 5918        Machine Learning and AI             SGD 100000         74883
## 5919                  Data Analysis             USD 140000        140000
## 5920                  Data Analysis             USD 120000        120000
## 5921               Data Engineering             USD 128000        128000
## 5922               Data Engineering             USD  81500         81500
## 5923               Data Engineering             USD 145000        145000
## 5924               Data Engineering             USD 115000        115000
## 5925               Data Engineering             USD 185000        185000
## 5926               Data Engineering             USD 140000        140000
## 5927      Leadership and Management             USD 329500        329500
## 5928      Leadership and Management             USD 269600        269600
## 5929    Data Quality and Operations             USD 100000        100000
## 5930    Data Quality and Operations             USD  80000         80000
## 5931      Data Science and Research             USD 250000        250000
## 5932      Data Science and Research             USD 162500        162500
## 5933        Machine Learning and AI             USD 200000        200000
## 5934               Data Engineering             USD 145000        145000
## 5935               Data Engineering             USD 100000        100000
## 5936               Data Engineering             USD 145000        145000
## 5937               Data Engineering             USD 115000        115000
## 5938      Data Science and Research             USD 203500        203500
## 5939      Data Science and Research             USD 152000        152000
## 5940      Data Science and Research             USD 239000        239000
## 5941      Data Science and Research             USD 122900        122900
## 5942      Data Science and Research             USD 237000        237000
## 5943      Data Science and Research             USD 145000        145000
## 5944      Data Science and Research             USD 191765        191765
## 5945      Data Science and Research             USD 134236        134236
## 5946      Leadership and Management             USD 190000        190000
## 5947      Leadership and Management             USD 112000        112000
## 5948      Data Science and Research             EUR  84000         88256
## 5949               Data Engineering             USD  85000         85000
## 5950               Data Engineering             USD  65000         65000
## 5951                  Data Analysis             USD 135000        135000
## 5952                  Data Analysis             USD 105500        105500
## 5953      Data Science and Research             USD 293000        293000
## 5954      Data Science and Research             USD 185000        185000
## 5955                  Data Analysis             USD  80000         80000
## 5956                  Data Analysis             USD  70000         70000
## 5957               Data Engineering             USD 220000        220000
## 5958               Data Engineering             USD 160000        160000
## 5959      Data Science and Research             USD 175000        175000
## 5960      Data Science and Research             USD 145000        145000
## 5961                  Data Analysis             USD 200000        200000
## 5962                  Data Analysis             USD 148500        148500
## 5963      Data Science and Research             EUR  45000         48585
## 5964      Data Science and Research             EUR  36000         38868
## 5965               Data Engineering             USD 240500        240500
## 5966               Data Engineering             USD 123700        123700
## 5967      Leadership and Management             USD 152900        152900
## 5968      Leadership and Management             USD 117100        117100
## 5969      Leadership and Management             USD 173000        173000
## 5970      Leadership and Management             USD 113000        113000
## 5971      Data Science and Research             USD 260000        260000
## 5972      Data Science and Research             USD 136000        136000
## 5973               Data Engineering             USD 175000        175000
## 5974               Data Engineering             USD 110000        110000
## 5975      Data Science and Research             USD 260000        260000
## 5976      Data Science and Research             USD 136000        136000
## 5977      Data Science and Research             USD 130000        130000
## 5978      Data Science and Research             USD 110000        110000
## 5979      Data Science and Research             USD 205000        205000
## 5980      Data Science and Research             USD 184000        184000
## 5981                  Data Analysis             USD 149500        149500
## 5982                  Data Analysis             USD 127075        127075
## 5983      Data Science and Research             USD 195000        195000
## 5984      Data Science and Research             USD 160000        160000
## 5985               Data Engineering             USD 219535        219535
## 5986               Data Engineering             USD 146115        146115
## 5987      Data Science and Research             USD 170000        170000
## 5988      Data Science and Research             USD 135000        135000
## 5989      Data Science and Research             USD 175000        175000
## 5990      Data Science and Research             USD 145000        145000
## 5991      Data Science and Research             USD 199000        199000
## 5992      Data Science and Research             USD 162000        162000
## 5993      Data Science and Research             USD 222200        222200
## 5994      Data Science and Research             USD 136000        136000
## 5995      Leadership and Management             USD 221000        221000
## 5996      Leadership and Management             USD 153000        153000
## 5997                  Data Analysis             USD 187000        187000
## 5998                  Data Analysis             USD 128000        128000
## 5999      Data Science and Research             USD 210000        210000
## 6000      Data Science and Research             USD 136000        136000
## 6001      Data Science and Research             USD 175000        175000
## 6002      Data Science and Research             USD 100000        100000
## 6003               Data Engineering             USD 179000        179000
## 6004               Data Engineering             USD 109000        109000
## 6005      Data Science and Research             USD 245000        245000
## 6006      Data Science and Research             USD 180000        180000
## 6007                  Data Analysis             USD 142000        142000
## 6008                  Data Analysis             USD  75000         75000
## 6009      Leadership and Management             USD 198800        198800
## 6010      Leadership and Management             USD 105200        105200
## 6011                  Data Analysis             USD 125000        125000
## 6012                  Data Analysis             USD 112000        112000
## 6013      Data Science and Research             USD 210000        210000
## 6014      Data Science and Research             USD 155000        155000
## 6015      Leadership and Management             USD 115000        115000
## 6016      Leadership and Management             USD  86000         86000
## 6017      Data Science and Research             USD 165000        165000
## 6018      Data Science and Research             USD 140000        140000
## 6019                  Data Analysis             USD 139000        139000
## 6020                  Data Analysis             USD 106000        106000
## 6021                  Data Analysis             CAD  55000         40747
## 6022        Machine Learning and AI             USD 275000        275000
## 6023        Machine Learning and AI             USD  50000         50000
## 6024        Machine Learning and AI             USD 280700        280700
## 6025        Machine Learning and AI             USD 150450        150450
## 6026      Data Science and Research             CAD  70000         51861
## 6027 Data Architecture and Modeling             USD 250500        250500
## 6028 Data Architecture and Modeling             USD 159500        159500
## 6029               Data Engineering             USD 145000        145000
## 6030               Data Engineering             USD 115000        115000
## 6031                  Data Analysis             USD 140000        140000
## 6032                  Data Analysis             USD 120000        120000
## 6033      Data Science and Research             USD 130001        130001
## 6034      Data Science and Research             USD  71907         71907
## 6035      Data Science and Research             USD  93918         93918
## 6036      Data Science and Research             USD  51962         51962
## 6037                  Data Analysis             USD 175000        175000
## 6038                  Data Analysis             USD 135000        135000
## 6039               Data Engineering             USD  85000         85000
## 6040               Data Engineering             USD  65000         65000
## 6041        Machine Learning and AI             USD 257000        257000
## 6042        Machine Learning and AI             USD 147000        147000
## 6043               Data Engineering             USD 222000        222000
## 6044               Data Engineering             USD 175000        175000
## 6045      Data Science and Research             USD 203000        203000
## 6046      Data Science and Research             USD 133200        133200
## 6047      Data Science and Research             USD 213660        213660
## 6048      Data Science and Research             USD 130760        130760
## 6049               Data Engineering             USD 221000        221000
## 6050               Data Engineering             USD 147000        147000
## 6051    Data Quality and Operations             USD 100000        100000
## 6052    Data Quality and Operations             USD  80000         80000
## 6053      Data Science and Research             USD 185900        185900
## 6054      Data Science and Research             USD 129300        129300
## 6055      Data Science and Research             USD 238000        238000
## 6056      Data Science and Research             USD 156000        156000
## 6057        Machine Learning and AI             USD 304000        304000
## 6058        Machine Learning and AI             USD 199000        199000
## 6059               Data Engineering             EUR  45000         48585
## 6060               Data Engineering             USD 150000        150000
## 6061               Data Engineering             USD 130000        130000
## 6062      Data Science and Research             USD 140000        140000
## 6063      Data Science and Research             USD 110000        110000
## 6064                  Data Analysis             USD  90000         90000
## 6065                  Data Analysis             USD  75000         75000
## 6066      Data Science and Research             GBP 161200        198340
## 6067      Data Science and Research             GBP  84570        104055
## 6068               Data Engineering             USD 240000        240000
## 6069               Data Engineering             USD 183600        183600
## 6070   Data Management and Strategy             USD 130000        130000
## 6071   Data Management and Strategy             USD  80000         80000
## 6072               Data Engineering             USD 250000        250000
## 6073               Data Engineering             USD 150000        150000
## 6074      Leadership and Management             USD 160000        160000
## 6075      Leadership and Management             USD 120000        120000
## 6076        Machine Learning and AI             USD 289076        289076
## 6077        Machine Learning and AI             USD 202353        202353
## 6078               Data Engineering             USD 145000        145000
## 6079               Data Engineering             USD 120000        120000
## 6080                  Data Analysis             USD 155000        155000
## 6081                  Data Analysis             USD 106000        106000
## 6082               Data Engineering             USD 200000        200000
## 6083               Data Engineering             USD 160000        160000
## 6084      Data Science and Research             USD 157750        157750
## 6085      Data Science and Research             USD 104650        104650
## 6086      Data Science and Research             USD 180000        180000
## 6087      Data Science and Research             USD 140000        140000
## 6088      Data Science and Research             USD 200000        200000
## 6089      Data Science and Research             USD 145000        145000
## 6090                  Data Analysis             USD  68000         68000
## 6091               Data Engineering             USD  60000         60000
## 6092      Data Science and Research             EUR  45000         48585
## 6093      Data Science and Research             EUR  36000         38868
## 6094               Data Engineering             USD  85000         85000
## 6095               Data Engineering             USD  65000         65000
## 6096               Data Engineering             USD 125000        125000
## 6097               Data Engineering             USD  90000         90000
## 6098                  Data Analysis             USD 105000        105000
## 6099                  Data Analysis             USD  90000         90000
## 6100      Leadership and Management             USD 179820        179820
## 6101      Leadership and Management             USD 143860        143860
## 6102                  Data Analysis             USD 135000        135000
## 6103                  Data Analysis             USD 105500        105500
## 6104      Data Science and Research             USD 155000        155000
## 6105      Data Science and Research             USD 125000        125000
## 6106        Machine Learning and AI             USD 241000        241000
## 6107        Machine Learning and AI             USD 181000        181000
## 6108      Data Science and Research             USD 252000        252000
## 6109      Data Science and Research             USD 154000        154000
## 6110 Data Architecture and Modeling             USD 180000        180000
## 6111 Data Architecture and Modeling             USD 155000        155000
## 6112      Data Science and Research             USD 191765        191765
## 6113      Data Science and Research             USD 134236        134236
## 6114      Data Science and Research             USD 175000        175000
## 6115      Data Science and Research             USD 145000        145000
## 6116      Data Science and Research             USD 237000        237000
## 6117      Data Science and Research             USD 145000        145000
## 6118      Data Science and Research             USD 155000        155000
## 6119      Data Science and Research             USD 125000        125000
## 6120                  Data Analysis             USD  80000         80000
## 6121                  Data Analysis             USD  70000         70000
## 6122               Data Engineering             USD 146000        146000
## 6123               Data Engineering             USD  75000         75000
## 6124                  Data Analysis             USD  64200         64200
## 6125                  Data Analysis             USD  56100         56100
## 6126        Machine Learning and AI             USD 170000        170000
## 6127        Machine Learning and AI             USD 130000        130000
## 6128                  Data Analysis             USD 208450        208450
## 6129                  Data Analysis             USD 170550        170550
## 6130        Machine Learning and AI             USD 125000        125000
## 6131        Machine Learning and AI             USD 100000        100000
## 6132      Leadership and Management             USD 135000        135000
## 6133      Leadership and Management             USD 120000        120000
## 6134      Data Science and Research             USD 200000        200000
## 6135      Data Science and Research             USD 170000        170000
## 6136      Data Science and Research             USD 171250        171250
## 6137      Data Science and Research             USD 113750        113750
## 6138      Data Science and Research             USD 222200        222200
## 6139      Data Science and Research             USD 136000        136000
## 6140      Data Science and Research             USD 260000        260000
## 6141      Data Science and Research             USD 136000        136000
## 6142                  Data Analysis             USD 153600        153600
## 6143                  Data Analysis             USD 100500        100500
## 6144      Data Science and Research             USD 205000        205000
## 6145      Data Science and Research             USD 184000        184000
## 6146        Machine Learning and AI             USD 115000        115000
## 6147        Machine Learning and AI             USD  95000         95000
## 6148                  Data Analysis             USD 182500        182500
## 6149                  Data Analysis             USD 121500        121500
## 6150               Data Engineering             USD 203100        203100
## 6151               Data Engineering             USD 114500        114500
## 6152                  Data Analysis             GBP  60000         73824
## 6153                  Data Analysis             GBP  45000         55368
## 6154               Data Engineering             USD 252000        252000
## 6155               Data Engineering             USD 129000        129000
## 6156               Data Engineering             USD  92700         92700
## 6157               Data Engineering             USD  61800         61800
## 6158               Data Engineering             USD 160000        160000
## 6159               Data Engineering             USD 130000        130000
## 6160      Data Science and Research             USD 258000        258000
## 6161      Data Science and Research             USD 190000        190000
## 6162      Data Science and Research             USD 170000        170000
## 6163      Data Science and Research             USD 135000        135000
## 6164 Data Architecture and Modeling             USD 167500        167500
## 6165 Data Architecture and Modeling             USD 106500        106500
## 6166      Data Science and Research             USD 195000        195000
## 6167      Data Science and Research             USD 160000        160000
## 6168               Data Engineering             USD 146000        146000
## 6169               Data Engineering             USD  75000         75000
## 6170               Data Engineering             EUR  57000         59888
## 6171               Data Engineering             USD 286000        286000
## 6172               Data Engineering             USD 207000        207000
## 6173                  Data Analysis             USD 100000        100000
## 6174                  Data Analysis             USD  80000         80000
## 6175               Data Engineering             USD 223250        223250
## 6176               Data Engineering             USD 178600        178600
## 6177      Data Science and Research             USD 353200        353200
## 6178      Data Science and Research             USD 249300        249300
## 6179        Machine Learning and AI             USD 230000        230000
## 6180        Machine Learning and AI             USD 220000        220000
## 6181      Data Science and Research             USD 297300        297300
## 6182      Data Science and Research             USD 198200        198200
## 6183      Data Science and Research             USD 210000        210000
## 6184      Data Science and Research             USD 151800        151800
## 6185      Data Science and Research             USD 200000        200000
## 6186      Data Science and Research             USD 170000        170000
## 6187      Data Science and Research             USD 317070        317070
## 6188      Data Science and Research             USD 170730        170730
## 6189               Data Engineering             USD 128000        128000
## 6190               Data Engineering             USD  81500         81500
## 6191                  Data Analysis             EUR  20000         21593
## 6192        Machine Learning and AI             USD 108000        108000
## 6193        Machine Learning and AI             USD  60000         60000
## 6194        Machine Learning and AI             USD 134000        134000
## 6195        Machine Learning and AI             USD 124000        124000
## 6196               Data Engineering             USD 171250        171250
## 6197               Data Engineering             USD 113750        113750
## 6198               Data Engineering             USD 165000        165000
## 6199               Data Engineering             USD 132300        132300
## 6200      Data Science and Research             USD 225000        225000
## 6201      Data Science and Research             USD 175000        175000
## 6202               Data Engineering             USD 230000        230000
## 6203               Data Engineering             USD 124500        124500
## 6204        Machine Learning and AI             USD 247500        247500
## 6205        Machine Learning and AI             USD 172200        172200
## 6206                  Data Analysis             USD 175000        175000
## 6207                  Data Analysis             USD 145000        145000
## 6208                  Data Analysis             USD 148700        148700
## 6209                  Data Analysis             USD 125600        125600
## 6210               Data Engineering             USD 145000        145000
## 6211               Data Engineering             USD 115000        115000
## 6212      Data Science and Research             USD 200000        200000
## 6213      Data Science and Research             USD 150000        150000
## 6214      Data Science and Research             USD 160000        160000
## 6215      Data Science and Research             USD 120000        120000
## 6216                  Data Analysis             USD 185000        185000
## 6217                  Data Analysis             USD 120250        120250
## 6218      Data Science and Research             USD 275300        275300
## 6219      Data Science and Research             USD 183000        183000
## 6220 Data Architecture and Modeling             USD 170000        170000
## 6221 Data Architecture and Modeling             USD 125000        125000
## 6222 Data Architecture and Modeling             USD 167500        167500
## 6223 Data Architecture and Modeling             USD 106500        106500
## 6224      Data Science and Research             USD 250000        250000
## 6225      Data Science and Research             USD 200000        200000
## 6226        Machine Learning and AI             USD 135000        135000
## 6227        Machine Learning and AI             USD 216000        216000
## 6228        Machine Learning and AI             USD 184000        184000
## 6229               Data Engineering             USD 180000        180000
## 6230               Data Engineering             USD 165000        165000
## 6231      Data Science and Research             USD 185900        185900
## 6232      Data Science and Research             USD 129300        129300
## 6233               Data Engineering             USD 145000        145000
## 6234               Data Engineering             USD 120000        120000
## 6235               Data Engineering             USD 143865        143865
## 6236               Data Engineering             USD 115092        115092
## 6237        Machine Learning and AI             USD 130000        130000
## 6238        Machine Learning and AI             USD  90000         90000
## 6239      Data Science and Research             USD 173000        173000
## 6240      Data Science and Research             USD 132000        132000
## 6241                  Data Analysis             USD 208049        208049
## 6242                  Data Analysis             USD 128500        128500
## 6243      Leadership and Management             USD 179820        179820
## 6244      Leadership and Management             USD 143860        143860
## 6245               Data Engineering             USD 167500        167500
## 6246               Data Engineering             USD 106500        106500
## 6247      Data Science and Research             USD 275300        275300
## 6248      Data Science and Research             USD 183500        183500
## 6249               Data Engineering             USD 149600        149600
## 6250               Data Engineering             USD 102000        102000
## 6251      Data Science and Research             USD 145000        145000
## 6252      Data Science and Research             USD 100000        100000
## 6253                  Data Analysis             USD 190000        190000
## 6254                  Data Analysis             USD  95000         95000
## 6255                  Data Analysis             USD 153600        153600
## 6256                  Data Analysis             USD 106800        106800
## 6257      Data Science and Research             EUR  90000         97171
## 6258      Data Science and Research             EUR  75000         80976
## 6259                  Data Analysis             USD 128000        128000
## 6260                  Data Analysis             USD  85000         85000
## 6261               Data Engineering             USD 151000        151000
## 6262               Data Engineering             USD 140000        140000
## 6263      Data Science and Research             USD 275300        275300
## 6264      Data Science and Research             USD 183500        183500
## 6265        Machine Learning and AI             USD 220000        220000
## 6266        Machine Learning and AI             USD 170000        170000
## 6267                  Data Analysis             USD 135000        135000
## 6268                  Data Analysis             USD 105500        105500
## 6269                  Data Analysis             USD 100000        100000
## 6270                  Data Analysis             USD  80000         80000
## 6271        Machine Learning and AI             EUR  40000         43187
## 6272               Data Engineering             USD 160000        160000
## 6273               Data Engineering             USD 145000        145000
## 6274                  Data Analysis             USD 154000        154000
## 6275                  Data Analysis             USD 143000        143000
## 6276      Data Science and Research             GBP  65000         79976
## 6277      Data Science and Research             GBP  42000         51676
## 6278      Data Science and Research             USD 190000        190000
## 6279      Data Science and Research             USD 120000        120000
## 6280      Data Science and Research             GBP  70000         86128
## 6281      Data Science and Research             GBP  42000         51676
## 6282      Data Science and Research             GBP  90000        110736
## 6283      Data Science and Research             GBP  60000         73824
## 6284               Data Engineering             USD 150000        150000
## 6285               Data Engineering             USD 111000        111000
## 6286               Data Engineering             USD 265000        265000
## 6287               Data Engineering             USD 235000        235000
## 6288      Data Science and Research             CHF 112000        122638
## 6289      Data Science and Research             EUR  70000         73546
## 6290               Data Engineering             USD 160000        160000
## 6291               Data Engineering             USD 130000        130000
## 6292               Data Engineering             USD  75000         75000
## 6293               Data Engineering             USD  60400         60400
## 6294                  Data Analysis             USD  85000         85000
## 6295                  Data Analysis             USD  75000         75000
## 6296               Data Engineering             USD 252000        252000
## 6297               Data Engineering             USD 129000        129000
## 6298               Data Engineering             USD  92700         92700
## 6299               Data Engineering             USD  61800         61800
## 6300      Data Science and Research             EUR 164000        172309
## 6301      Data Science and Research             EUR  56000         60462
## 6302                  Data Analysis             USD  83500         83500
## 6303                  Data Analysis             USD  52500         52500
## 6304      Data Science and Research             USD 201036        201036
## 6305      Data Science and Research             USD 134024        134024
## 6306                  Data Analysis             USD 165000        165000
## 6307                  Data Analysis             USD 140000        140000
## 6308               Data Engineering             USD  62000         62000
## 6309               Data Engineering             USD  58000         58000
## 6310      Data Science and Research             USD 172000        172000
## 6311      Data Science and Research             USD 115000        115000
## 6312               Data Engineering             USD 125000        125000
## 6313               Data Engineering             USD  90000         90000
## 6314               Data Engineering             USD 163800        163800
## 6315               Data Engineering             USD 126000        126000
## 6316      Data Science and Research             USD 237000        237000
## 6317      Data Science and Research             USD 145000        145000
## 6318               Data Engineering             USD  90000         90000
## 6319               Data Engineering             USD  90000         90000
## 6320               Data Engineering             USD 139500        139500
## 6321               Data Engineering             USD 109400        109400
## 6322      Data Science and Research             USD 258000        258000
## 6323      Data Science and Research             USD 190000        190000
## 6324               Data Engineering             USD 145000        145000
## 6325               Data Engineering             USD 120000        120000
## 6326               Data Engineering             USD 205600        205600
## 6327               Data Engineering             USD 105700        105700
## 6328               Data Engineering             USD 252000        252000
## 6329               Data Engineering             USD 129000        129000
## 6330      Data Science and Research             USD 239748        239748
## 6331      Data Science and Research             USD 159832        159832
## 6332      Data Science and Research             USD 186300        186300
## 6333      Data Science and Research             USD 102500        102500
## 6334               Data Engineering             USD 165000        165000
## 6335               Data Engineering             USD 132300        132300
## 6336      Data Science and Research             USD 190000        190000
## 6337      Data Science and Research             USD 126000        126000
## 6338 Data Architecture and Modeling             USD 149040        149040
## 6339 Data Architecture and Modeling             USD 113900        113900
## 6340               Data Engineering             USD 153600        153600
## 6341               Data Engineering             USD 106800        106800
## 6342               Data Engineering             USD 172600        172600
## 6343               Data Engineering             USD 107900        107900
## 6344                  Data Analysis             USD 180180        180180
## 6345                  Data Analysis             USD 106020        106020
## 6346 Data Architecture and Modeling             USD 376080        376080
## 6347 Data Architecture and Modeling             USD 213120        213120
## 6348                  Data Analysis             USD 153600        153600
## 6349                  Data Analysis             USD 100500        100500
## 6350                  Data Analysis             USD 206500        206500
## 6351                  Data Analysis             USD 121600        121600
## 6352               Data Engineering             USD 260000        260000
## 6353               Data Engineering             USD 225000        225000
## 6354               Data Engineering             USD 194500        194500
## 6355               Data Engineering             USD 115500        115500
## 6356             Cloud and Database             USD 170000        170000
## 6357        Machine Learning and AI             USD  90000         90000
## 6358                  Data Analysis             USD  95000         95000
## 6359                  Data Analysis             USD  70000         70000
## 6360               Data Engineering             USD 275000        275000
## 6361               Data Engineering             USD 160000        160000
## 6362                  Data Analysis             USD 115934        115934
## 6363                  Data Analysis             USD  81666         81666
## 6364      Data Science and Research             USD 175000        175000
## 6365      Data Science and Research             USD 120000        120000
## 6366        Machine Learning and AI             USD 150000        150000
## 6367        Machine Learning and AI             USD 120000        120000
## 6368      Data Science and Research             USD 200000        200000
## 6369      Data Science and Research             USD 175000        175000
## 6370                  Data Analysis             USD 206000        206000
## 6371                  Data Analysis             USD 130000        130000
## 6372 Data Architecture and Modeling             USD 138000        138000
## 6373 Data Architecture and Modeling             USD  92000         92000
## 6374      Leadership and Management             USD  65000         65000
## 6375      Leadership and Management             USD  48000         48000
## 6376                  Data Analysis             USD 110000        110000
## 6377                  Data Analysis             USD  75000         75000
## 6378      Leadership and Management             USD 130000        130000
## 6379      Leadership and Management             USD  87000         87000
## 6380                  Data Analysis             USD 160000        160000
## 6381                  Data Analysis             USD 112000        112000
## 6382               Data Engineering             USD 162500        162500
## 6383               Data Engineering             USD 130000        130000
## 6384      Data Science and Research             USD 299500        299500
## 6385      Data Science and Research             USD 245100        245100
## 6386      Data Science and Research             USD 145000        145000
## 6387      Data Science and Research             USD 100000        100000
## 6388               Data Engineering             USD 147100        147100
## 6389               Data Engineering             USD  90700         90700
## 6390               Data Engineering             USD 115100        115100
## 6391               Data Engineering             USD  73900         73900
## 6392               Data Engineering             USD 168400        168400
## 6393               Data Engineering             USD 105200        105200
## 6394      Data Science and Research             USD 210000        210000
## 6395      Data Science and Research             USD 160000        160000
## 6396      Data Science and Research             USD 145000        145000
## 6397      Data Science and Research             USD 100000        100000
## 6398      Data Science and Research             USD 222200        222200
## 6399      Data Science and Research             USD 136000        136000
## 6400                  Data Analysis             USD 100000        100000
## 6401                  Data Analysis             USD  85000         85000
## 6402               Data Engineering             GBP  70000         86128
## 6403               Data Engineering             GBP  47500         58444
## 6404      Data Science and Research             USD 200000        200000
## 6405      Data Science and Research             USD 145000        145000
## 6406               Data Engineering             USD 140000        140000
## 6407               Data Engineering             USD  95000         95000
## 6408                  Data Analysis             USD 185000        185000
## 6409                  Data Analysis             USD 120250        120250
## 6410                  Data Analysis             USD 130000        130000
## 6411      Data Science and Research             USD 205000        205000
## 6412      Data Science and Research             USD 140000        140000
## 6413      Data Science and Research             USD 297300        297300
## 6414      Data Science and Research             USD 198200        198200
## 6415      Data Science and Research             USD 141288        141288
## 6416      Data Science and Research             USD  94192         94192
## 6417               Data Engineering             USD 184000        184000
## 6418               Data Engineering             USD 143000        143000
## 6419                  Data Analysis             USD  70000         70000
## 6420                  Data Analysis             USD  55000         55000
## 6421      Leadership and Management             USD 275300        275300
## 6422      Leadership and Management             USD 183500        183500
## 6423                  Data Analysis             USD  75000         75000
## 6424                  Data Analysis             USD  65000         65000
## 6425        Machine Learning and AI             USD 160000        160000
## 6426        Machine Learning and AI             USD 147000        147000
## 6427 Data Architecture and Modeling             USD 149040        149040
## 6428 Data Architecture and Modeling             USD 113900        113900
## 6429               Data Engineering             SGD 100000         74883
## 6430                  Data Analysis             USD 180180        180180
## 6431                  Data Analysis             USD 106020        106020
## 6432        Machine Learning and AI             USD  70000         70000
## 6433        Machine Learning and AI             USD  80000         80000
## 6434        Machine Learning and AI             USD 250000        250000
## 6435        Machine Learning and AI             USD 150000        150000
## 6436               Data Engineering             USD 139500        139500
## 6437               Data Engineering             USD 109400        109400
## 6438      Data Science and Research             USD 105000        105000
## 6439      Data Science and Research             USD  70000         70000
## 6440               Data Engineering             USD 210914        210914
## 6441               Data Engineering             USD 116704        116704
## 6442      Data Science and Research             USD 150000        150000
## 6443      Data Science and Research             USD 100000        100000
## 6444               Data Engineering             USD 146000        146000
## 6445               Data Engineering             USD  75000         75000
## 6446                  Data Analysis             USD  75000         75000
## 6447                  Data Analysis             USD  60000         60000
## 6448      Leadership and Management             USD 185700        185700
## 6449      Leadership and Management             USD 165000        165000
## 6450               Data Engineering             USD 160000        160000
## 6451               Data Engineering             USD 130000        130000
## 6452                  Data Analysis             USD 169000        169000
## 6453                  Data Analysis             USD 110600        110600
## 6454    Data Quality and Operations             USD 193000        193000
## 6455    Data Quality and Operations             USD 136850        136850
## 6456        Machine Learning and AI             USD 139500        139500
## 6457        Machine Learning and AI             USD 109400        109400
## 6458               Data Engineering             USD 276000        276000
## 6459               Data Engineering             USD 178500        178500
## 6460      Data Science and Research             EUR  55000         59382
## 6461      Data Science and Research             EUR  45000         48585
## 6462               Data Engineering             EUR  70000         75577
## 6463               Data Engineering             EUR  45000         48585
## 6464        Machine Learning and AI             GBP 161000        198094
## 6465        Machine Learning and AI             GBP  83300        102492
## 6466               Data Engineering             GBP 112700        138666
## 6467               Data Engineering             GBP  83300        102492
## 6468               Data Engineering             USD 252000        252000
## 6469               Data Engineering             USD 129000        129000
## 6470           BI and Visualization             USD 130000        130000
## 6471      Data Science and Research             USD 150000        150000
## 6472               Data Engineering             USD 163800        163800
## 6473               Data Engineering             USD 126000        126000
## 6474        Machine Learning and AI             USD 260000        260000
## 6475        Machine Learning and AI             USD 110000        110000
## 6476      Leadership and Management             USD 170000        170000
## 6477      Leadership and Management             USD 130000        130000
## 6478        Machine Learning and AI             USD 247500        247500
## 6479        Machine Learning and AI             USD 172200        172200
## 6480      Data Science and Research             USD 239748        239748
## 6481      Data Science and Research             USD 159832        159832
## 6482        Machine Learning and AI             USD 163800        163800
## 6483        Machine Learning and AI             USD 126000        126000
## 6484      Data Science and Research             USD 128750        128750
## 6485      Data Science and Research             USD 106250        106250
## 6486               Data Engineering             USD 252000        252000
## 6487               Data Engineering             USD 129000        129000
## 6488      Data Science and Research             USD 299500        299500
## 6489      Data Science and Research             USD 245100        245100
## 6490      Leadership and Management             USD 155000        155000
## 6491      Leadership and Management             USD 140000        140000
## 6492               Data Engineering             USD 167500        167500
## 6493               Data Engineering             USD 106500        106500
## 6494 Data Architecture and Modeling             USD 188500        188500
## 6495 Data Architecture and Modeling             USD 117000        117000
## 6496                  Data Analysis             USD 250000        250000
## 6497                  Data Analysis             USD 138000        138000
## 6498                  Data Analysis             USD 130000        130000
## 6499                  Data Analysis             USD 100000        100000
## 6500        Machine Learning and AI             EUR 115000        124163
## 6501               Data Engineering             USD 140000        140000
## 6502               Data Engineering             USD 120000        120000
## 6503           BI and Visualization             USD 160000        160000
## 6504           BI and Visualization             USD 135000        135000
## 6505      Data Science and Research             USD 104500        104500
## 6506      Data Science and Research             USD  70000         70000
## 6507      Data Science and Research             USD  90000         90000
## 6508      Data Science and Research             USD  70000         70000
## 6509               Data Engineering             USD 153600        153600
## 6510               Data Engineering             USD 106800        106800
## 6511               Data Engineering             USD 125000        125000
## 6512               Data Engineering             USD  90000         90000
## 6513      Data Science and Research             USD 185000        185000
## 6514      Data Science and Research             USD 125000        125000
## 6515                  Data Analysis             USD 127000        127000
## 6516                  Data Analysis             USD  94000         94000
## 6517      Data Science and Research             USD 210550        210550
## 6518      Data Science and Research             USD 153300        153300
## 6519      Data Science and Research             USD 200000        200000
## 6520      Data Science and Research             USD 150000        150000
## 6521                  Data Analysis             USD 161500        161500
## 6522                  Data Analysis             USD 119500        119500
## 6523                  Data Analysis             USD 175000        175000
## 6524                  Data Analysis             USD 145000        145000
## 6525      Data Science and Research             USD 175000        175000
## 6526      Data Science and Research             USD 148750        148750
## 6527      Leadership and Management             USD 105000        105000
## 6528      Leadership and Management             USD  85000         85000
## 6529      Data Science and Research             USD 215000        215000
## 6530      Data Science and Research             USD 146300        146300
## 6531        Machine Learning and AI             EUR 200000        215936
## 6532               Data Engineering             USD  72000         72000
## 6533               Data Engineering             USD  60000         60000
## 6534        Machine Learning and AI             USD 153400        153400
## 6535        Machine Learning and AI             USD 122700        122700
## 6536               Data Engineering             USD 260000        260000
## 6537               Data Engineering             USD 175000        175000
## 6538      Data Science and Research             USD 186300        186300
## 6539      Data Science and Research             USD 123900        123900
## 6540      Data Science and Research             USD 340000        340000
## 6541      Data Science and Research             USD 150000        150000
## 6542        Machine Learning and AI             USD 153400        153400
## 6543        Machine Learning and AI             USD 122700        122700
## 6544               Data Engineering             USD 250000        250000
## 6545               Data Engineering             USD 175000        175000
## 6546      Data Science and Research             EUR  60000         64781
## 6547                  Data Analysis             USD 185900        185900
## 6548                  Data Analysis             USD 121700        121700
## 6549                  Data Analysis             USD 153600        153600
## 6550                  Data Analysis             USD 106800        106800
## 6551               Data Engineering             USD  50000         50000
## 6552                  Data Analysis             USD 100000        100000
## 6553        Machine Learning and AI             USD 247500        247500
## 6554        Machine Learning and AI             USD 172200        172200
## 6555               Data Engineering             USD 310000        310000
## 6556               Data Engineering             USD 239000        239000
## 6557                  Data Analysis             USD 125000        125000
## 6558                  Data Analysis             USD 110000        110000
## 6559                  Data Analysis             USD 150000        150000
## 6560                  Data Analysis             USD 100000        100000
## 6561      Data Science and Research             USD 149076        149076
## 6562      Data Science and Research             USD  82365         82365
## 6563               Data Engineering             USD 146000        146000
## 6564               Data Engineering             USD  75000         75000
## 6565        Machine Learning and AI             USD 139500        139500
## 6566        Machine Learning and AI             USD 109400        109400
## 6567               Data Engineering             USD 139500        139500
## 6568               Data Engineering             USD 109400        109400
## 6569               Data Engineering             USD 149600        149600
## 6570               Data Engineering             USD 102000        102000
## 6571                  Data Analysis             GBP  80000         98432
## 6572                  Data Analysis             GBP  40000         49216
## 6573               Data Engineering             USD 252000        252000
## 6574               Data Engineering             USD 129000        129000
## 6575                  Data Analysis             USD  95000         95000
## 6576                  Data Analysis             USD  85500         85500
## 6577                  Data Analysis             USD 185900        185900
## 6578                  Data Analysis             USD 121700        121700
## 6579      Data Science and Research             USD 150000        150000
## 6580      Data Science and Research             USD 100000        100000
## 6581               Data Engineering             USD 145000        145000
## 6582               Data Engineering             USD 125000        125000
## 6583      Data Science and Research             USD 150000        150000
## 6584      Data Science and Research             USD  97750         97750
## 6585      Data Science and Research             USD 201000        201000
## 6586      Data Science and Research             USD 122000        122000
## 6587               Data Engineering             USD 252000        252000
## 6588               Data Engineering             USD 129000        129000
## 6589                  Data Analysis             USD 120000        120000
## 6590                  Data Analysis             USD  75000         75000
## 6591      Data Science and Research             USD 116990        116990
## 6592      Data Science and Research             USD  82920         82920
## 6593      Data Science and Research             USD 185900        185900
## 6594      Data Science and Research             USD 129300        129300
## 6595        Machine Learning and AI             USD 200000        200000
## 6596        Machine Learning and AI             USD 125000        125000
## 6597      Data Science and Research             USD 201000        201000
## 6598      Data Science and Research             USD 122000        122000
## 6599        Machine Learning and AI             USD 204500        204500
## 6600        Machine Learning and AI             USD 142200        142200
## 6601      Leadership and Management             USD 155000        155000
## 6602      Leadership and Management             USD 140000        140000
## 6603        Machine Learning and AI             USD 205920        205920
## 6604        Machine Learning and AI             USD 171600        171600
## 6605               Data Engineering             USD 121500        121500
## 6606               Data Engineering             USD  78000         78000
## 6607               Data Engineering             USD 154000        154000
## 6608               Data Engineering             USD 116000        116000
## 6609      Data Science and Research             USD 190000        190000
## 6610      Data Science and Research             USD 136000        136000
## 6611                  Data Analysis             GBP  65000         79976
## 6612                  Data Analysis             GBP  36050         44356
## 6613                  Data Analysis             USD 180000        180000
## 6614                  Data Analysis             USD 110000        110000
## 6615      Data Science and Research             USD 275300        275300
## 6616      Data Science and Research             USD 183000        183000
## 6617               Data Engineering             USD 170000        170000
## 6618               Data Engineering             USD 140000        140000
## 6619               Data Engineering             USD 154000        154000
## 6620               Data Engineering             USD 116000        116000
## 6621               Data Engineering             USD 160000        160000
## 6622               Data Engineering             USD 130000        130000
## 6623               Data Engineering             USD 200000        200000
## 6624               Data Engineering             USD 120000        120000
## 6625      Data Science and Research             USD 175000        175000
## 6626      Data Science and Research             USD 160000        160000
## 6627               Data Engineering             GBP 105000        129192
## 6628               Data Engineering             GBP  85000        104584
## 6629               Data Engineering             USD 153600        153600
## 6630               Data Engineering             USD 106800        106800
## 6631                  Data Analysis             USD  85000         85000
## 6632                  Data Analysis             USD  75000         75000
## 6633      Data Science and Research             USD 225000        225000
## 6634      Data Science and Research             USD 156400        156400
## 6635      Leadership and Management             USD 150000        150000
## 6636      Leadership and Management             USD 120000        120000
## 6637        Machine Learning and AI             USD 163800        163800
## 6638        Machine Learning and AI             USD 126000        126000
## 6639                  Data Analysis             USD 145000        145000
## 6640                  Data Analysis             USD  90000         90000
## 6641        Machine Learning and AI             USD 204500        204500
## 6642        Machine Learning and AI             USD 142200        142200
## 6643                  Data Analysis             USD  95000         95000
## 6644                  Data Analysis             USD  85500         85500
## 6645               Data Engineering             USD 167500        167500
## 6646               Data Engineering             USD 106500        106500
## 6647               Data Engineering             USD 163800        163800
## 6648               Data Engineering             USD 126000        126000
## 6649      Leadership and Management             USD 155000        155000
## 6650      Leadership and Management             USD 140000        140000
## 6651      Data Science and Research             USD 250000        250000
## 6652      Data Science and Research             USD 200000        200000
## 6653      Data Science and Research             USD 260000        260000
## 6654      Data Science and Research             USD 186000        186000
## 6655               Data Engineering             USD 160000        160000
## 6656               Data Engineering             USD 130000        130000
## 6657      Data Science and Research             USD 200000        200000
## 6658      Data Science and Research             USD 150000        150000
## 6659      Data Science and Research             EUR  45000         48585
## 6660      Data Science and Research             EUR  36000         38868
## 6661      Data Science and Research             USD 150000        150000
## 6662      Data Science and Research             USD 120000        120000
## 6663                  Data Analysis             USD  30000         30000
## 6664      Data Science and Research             USD 185000        185000
## 6665      Data Science and Research             USD 125000        125000
## 6666                  Data Analysis             USD  34320         34320
## 6667      Leadership and Management             EUR  70000         75577
## 6668      Data Science and Research             USD 106000        106000
## 6669                  Data Analysis             USD 175000        175000
## 6670                  Data Analysis             USD 130000        130000
## 6671                  Data Analysis             USD 122000        122000
## 6672                  Data Analysis             USD  93800         93800
## 6673      Data Science and Research             USD 150000        150000
## 6674      Data Science and Research             USD  90000         90000
## 6675                  Data Analysis             USD 165000        165000
## 6676                  Data Analysis             USD 112000        112000
## 6677        Machine Learning and AI             USD 220000        220000
## 6678                  Data Analysis             EUR  67000         72338
## 6679        Machine Learning and AI             EUR  60000         64781
## 6680        Machine Learning and AI             USD 204500        204500
## 6681        Machine Learning and AI             USD 142200        142200
## 6682        Machine Learning and AI             USD 200000        200000
## 6683        Machine Learning and AI             USD 175000        175000
## 6684               Data Engineering             USD 185900        185900
## 6685               Data Engineering             USD 129300        129300
## 6686                  Data Analysis             USD 185900        185900
## 6687                  Data Analysis             USD 121700        121700
## 6688        Machine Learning and AI             USD 204500        204500
## 6689        Machine Learning and AI             USD 142200        142200
## 6690      Data Science and Research             USD  40000         40000
## 6691                  Data Analysis             USD 180180        180180
## 6692                  Data Analysis             USD 106020        106020
## 6693      Data Science and Research             USD 136000        136000
## 6694      Data Science and Research             USD 104000        104000
## 6695                  Data Analysis             USD 125000        125000
## 6696                  Data Analysis             USD 110000        110000
## 6697        Machine Learning and AI             USD 153400        153400
## 6698        Machine Learning and AI             USD 122700        122700
## 6699               Data Engineering             USD 310000        310000
## 6700               Data Engineering             USD 239000        239000
## 6701                  Data Analysis             USD 152380        152380
## 6702                  Data Analysis             USD 121904        121904
## 6703      Data Science and Research             USD 185900        185900
## 6704      Data Science and Research             USD 129300        129300
## 6705        Machine Learning and AI             USD 247500        247500
## 6706        Machine Learning and AI             USD 172200        172200
## 6707 Data Architecture and Modeling             USD 168400        168400
## 6708 Data Architecture and Modeling             USD 105200        105200
## 6709        Machine Learning and AI             USD 128280        128280
## 6710        Machine Learning and AI             USD 106900        106900
## 6711      Data Science and Research             USD 192000        192000
## 6712               Data Engineering             USD 140000        140000
## 6713               Data Engineering             USD 100000        100000
## 6714      Data Science and Research             EUR 100000        107968
## 6715      Data Science and Research             EUR  80000         86374
## 6716        Machine Learning and AI             USD 275000        275000
## 6717        Machine Learning and AI             USD 174000        174000
## 6718               Data Engineering             USD 139500        139500
## 6719               Data Engineering             USD 109400        109400
## 6720        Machine Learning and AI             USD 139500        139500
## 6721        Machine Learning and AI             USD 109400        109400
## 6722                  Data Analysis             USD 170500        170500
## 6723                  Data Analysis             USD  85000         85000
## 6724      Leadership and Management             GBP  60027         73857
## 6725      Leadership and Management             GBP  44737         55044
## 6726      Data Science and Research             GBP 131899        162288
## 6727      Data Science and Research             GBP 104891        129058
## 6728               Data Engineering             USD  80000         80000
## 6729               Data Engineering             USD  65000         65000
## 6730               Data Engineering             USD 124740        124740
## 6731               Data Engineering             USD  65488         65488
## 6732    Data Quality and Operations             USD  72200         72200
## 6733    Data Quality and Operations             USD  64980         64980
## 6734               Data Engineering             USD 153600        153600
## 6735               Data Engineering             USD 106800        106800
## 6736                  Data Analysis             USD 179975        179975
## 6737                  Data Analysis             USD  86466         86466
## 6738               Data Engineering             USD 120000        120000
## 6739               Data Engineering             USD  90000         90000
## 6740                  Data Analysis             GBP  42000         51676
## 6741                  Data Analysis             GBP  35000         43064
## 6742      Data Science and Research             USD 149076        149076
## 6743      Data Science and Research             USD  82365         82365
## 6744                  Data Analysis             USD 169000        169000
## 6745                  Data Analysis             USD 110600        110600
## 6746      Data Science and Research             USD 175000        175000
## 6747      Data Science and Research             USD 120000        120000
## 6748                  Data Analysis             USD 230000        230000
## 6749                  Data Analysis             USD 180000        180000
## 6750                  Data Analysis             USD 153600        153600
## 6751                  Data Analysis             USD 106800        106800
## 6752      Leadership and Management             USD 140000        140000
## 6753      Leadership and Management             USD 120000        120000
## 6754        Machine Learning and AI             USD 205920        205920
## 6755        Machine Learning and AI             USD 171600        171600
## 6756                  Data Analysis             USD 165000        165000
## 6757                  Data Analysis             USD 125000        125000
## 6758               Data Engineering             USD 265000        265000
## 6759               Data Engineering             USD 185000        185000
## 6760        Machine Learning and AI             USD 130000        130000
## 6761      Data Science and Research             USD 168000        168000
## 6762        Machine Learning and AI             EUR  36000         38868
## 6763                  Data Analysis             USD  95000         95000
## 6764                  Data Analysis             USD  85500         85500
## 6765      Data Science and Research             USD 147100        147100
## 6766      Data Science and Research             USD  90700         90700
## 6767               Data Engineering             USD 167580        167580
## 6768               Data Engineering             USD  87980         87980
## 6769               Data Engineering             USD 202000        202000
## 6770               Data Engineering             USD 135000        135000
## 6771               Data Engineering             USD 163800        163800
## 6772               Data Engineering             USD 126000        126000
## 6773        Machine Learning and AI             USD 163800        163800
## 6774        Machine Learning and AI             USD 126000        126000
## 6775               Data Engineering             USD 104000        104000
## 6776               Data Engineering             USD  65000         65000
## 6777      Data Science and Research             USD 230000        230000
## 6778      Data Science and Research             USD 148000        148000
## 6779        Machine Learning and AI             USD 269000        269000
## 6780        Machine Learning and AI             USD 158000        158000
## 6781      Leadership and Management             USD 197000        197000
## 6782      Leadership and Management             USD 106000        106000
## 6783        Machine Learning and AI             USD 150000        150000
## 6784        Machine Learning and AI             USD 100000        100000
## 6785               Data Engineering             USD 290000        290000
## 6786               Data Engineering             USD 210000        210000
## 6787               Data Engineering             USD 192000        192000
## 6788               Data Engineering             USD 172800        172800
## 6789      Data Science and Research             USD 300240        300240
## 6790      Data Science and Research             USD 200160        200160
## 6791      Data Science and Research             USD 300240        300240
## 6792      Data Science and Research             USD 200160        200160
## 6793      Leadership and Management             USD 175000        175000
## 6794      Leadership and Management             USD 140000        140000
## 6795      Leadership and Management             USD 169000        169000
## 6796      Leadership and Management             USD 100000        100000
## 6797      Data Science and Research             USD 370000        370000
## 6798      Data Science and Research             USD 245000        245000
## 6799               Data Engineering             GBP  95000        116888
## 6800                  Data Analysis             USD 110000        110000
## 6801                  Data Analysis             USD  80000         80000
## 6802                  Data Analysis             USD  55000         55000
## 6803                  Data Analysis             USD  48000         48000
## 6804                  Data Analysis             USD  95000         95000
## 6805                  Data Analysis             USD  85000         85000
## 6806               Data Engineering             USD 137500        137500
## 6807               Data Engineering             USD  81500         81500
## 6808        Machine Learning and AI             USD 323300        323300
## 6809        Machine Learning and AI             USD 184700        184700
## 6810        Machine Learning and AI             USD  30000         30000
## 6811        Machine Learning and AI             USD 186000        186000
## 6812        Machine Learning and AI             USD 153088        153088
## 6813               Data Engineering             USD 190000        190000
## 6814               Data Engineering             USD 160000        160000
## 6815        Machine Learning and AI             USD 200000        200000
## 6816        Machine Learning and AI             USD 150000        150000
## 6817               Data Engineering             USD 190000        190000
## 6818               Data Engineering             USD 183310        183310
## 6819        Machine Learning and AI             USD 240000        240000
## 6820        Machine Learning and AI             USD 180000        180000
## 6821        Machine Learning and AI             USD 200000        200000
## 6822        Machine Learning and AI             USD 150000        150000
## 6823      Data Science and Research             USD 299500        299500
## 6824      Data Science and Research             USD 245100        245100
## 6825               Data Engineering             USD 144000        144000
## 6826               Data Engineering             USD  66000         66000
## 6827        Machine Learning and AI             USD 148500        148500
## 6828        Machine Learning and AI             USD 126277        126277
## 6829 Data Architecture and Modeling             USD 228000        228000
## 6830 Data Architecture and Modeling             USD 120000        120000
## 6831        Machine Learning and AI             USD 180000        180000
## 6832        Machine Learning and AI             USD  90000         90000
## 6833      Data Science and Research             USD 126500        126500
## 6834      Data Science and Research             USD  78000         78000
## 6835               Data Engineering             USD 180000        180000
## 6836               Data Engineering             USD 160000        160000
## 6837        Machine Learning and AI             USD 272000        272000
## 6838        Machine Learning and AI             USD 170000        170000
## 6839                  Data Analysis             USD  80000         80000
## 6840                  Data Analysis             USD  60000         60000
## 6841               Data Engineering             USD 259000        259000
## 6842               Data Engineering             USD 146000        146000
## 6843               Data Engineering             USD 200000        200000
## 6844               Data Engineering             USD 160000        160000
## 6845               Data Engineering             USD 310000        310000
## 6846               Data Engineering             USD 239000        239000
## 6847                  Data Analysis             USD 142000        142000
## 6848                  Data Analysis             USD  95000         95000
## 6849      Data Science and Research             USD 155000        155000
## 6850      Data Science and Research             USD 139500        139500
## 6851               Data Engineering             USD 140000        140000
## 6852               Data Engineering             USD 120000        120000
## 6853               Data Engineering             USD 259000        259000
## 6854               Data Engineering             USD 146000        146000
## 6855                  Data Analysis             GBP  90000        110736
## 6856                  Data Analysis             GBP  60000         73824
## 6857                  Data Analysis             PLN  78000         18160
## 6858      Data Science and Research             BRL 101400         19910
## 6859      Data Science and Research             USD 247500        247500
## 6860      Data Science and Research             USD 172200        172200
## 6861      Data Science and Research             USD 225000        225000
## 6862      Data Science and Research             USD 156400        156400
## 6863               Data Engineering             USD 139500        139500
## 6864               Data Engineering             USD 109400        109400
## 6865               Data Engineering             USD 125000        125000
## 6866               Data Engineering             USD  90000         90000
## 6867        Machine Learning and AI             EUR 100000        107968
## 6868        Machine Learning and AI             EUR  70000         75577
## 6869      Data Science and Research             USD 185900        185900
## 6870      Data Science and Research             USD 129300        129300
## 6871        Machine Learning and AI             USD 139500        139500
## 6872        Machine Learning and AI             USD 109400        109400
## 6873                  Data Analysis             USD 120000        120000
## 6874                  Data Analysis             USD  75000         75000
## 6875                  Data Analysis             USD 169000        169000
## 6876                  Data Analysis             USD 110600        110600
## 6877        Machine Learning and AI             USD 288000        288000
## 6878        Machine Learning and AI             USD 140000        140000
## 6879        Machine Learning and AI             USD 288000        288000
## 6880        Machine Learning and AI             USD 140000        140000
## 6881               Data Engineering             USD 120000        120000
## 6882               Data Engineering             USD  90000         90000
## 6883      Data Science and Research             GBP  60000         73824
## 6884      Data Science and Research             GBP  50000         61520
## 6885      Data Science and Research             USD 215050        215050
## 6886      Data Science and Research             USD 156400        156400
## 6887 Data Architecture and Modeling             USD 198000        198000
## 6888 Data Architecture and Modeling             USD 114000        114000
## 6889                  Data Analysis             USD  75000         75000
## 6890                  Data Analysis             USD  60000         60000
## 6891        Machine Learning and AI             USD 204500        204500
## 6892        Machine Learning and AI             USD 142200        142200
## 6893      Data Science and Research             USD 209300        209300
## 6894      Data Science and Research             USD 182200        182200
## 6895      Leadership and Management             USD 140000        140000
## 6896      Leadership and Management             USD 120000        120000
## 6897      Data Science and Research             USD  85000         85000
## 6898        Machine Learning and AI             GBP  40000         49216
## 6899      Data Science and Research             USD 120000        120000
## 6900      Data Science and Research             USD  60000         60000
## 6901        Machine Learning and AI             USD 147100        147100
## 6902        Machine Learning and AI             USD  90700         90700
## 6903               Data Engineering             USD 230000        230000
## 6904               Data Engineering             USD 170000        170000
## 6905                  Data Analysis             USD 227000        227000
## 6906                  Data Analysis             USD 108000        108000
## 6907               Data Engineering             USD 180000        180000
## 6908               Data Engineering             USD 160000        160000
## 6909 Data Architecture and Modeling             USD 180000        180000
## 6910 Data Architecture and Modeling             USD 160000        160000
## 6911               Data Engineering             USD 180000        180000
## 6912               Data Engineering             USD 130000        130000
## 6913                  Data Analysis             EUR  52000         56143
## 6914                  Data Analysis             EUR  48000         51824
## 6915                  Data Analysis             USD  60000         60000
## 6916                  Data Analysis             USD  50000         50000
## 6917               Data Engineering             USD 226700        226700
## 6918               Data Engineering             USD 133300        133300
## 6919               Data Engineering             USD 252000        252000
## 6920               Data Engineering             USD 129000        129000
## 6921 Data Architecture and Modeling             GBP 124999        153799
## 6922                  Data Analysis             USD  80000         80000
## 6923                  Data Analysis             USD  52500         52500
## 6924               Data Engineering             USD 250000        250000
## 6925               Data Engineering             USD 162500        162500
## 6926                  Data Analysis             USD  85000         85000
## 6927                  Data Analysis             USD  75000         75000
## 6928                  Data Analysis             USD 153600        153600
## 6929                  Data Analysis             USD 106800        106800
## 6930                  Data Analysis             USD 165000        165000
## 6931                  Data Analysis             USD 124000        124000
## 6932                  Data Analysis             USD 115934        115934
## 6933                  Data Analysis             USD  81666         81666
## 6934               Data Engineering             USD 167580        167580
## 6935               Data Engineering             USD  87980         87980
## 6936               Data Engineering             USD 250000        250000
## 6937               Data Engineering             USD  63000         63000
## 6938      Data Science and Research             USD 253750        253750
## 6939      Data Science and Research             USD 169200        169200
## 6940      Data Science and Research             USD 253750        253750
## 6941      Data Science and Research             USD 169200        169200
## 6942      Data Science and Research             USD 170000        170000
## 6943      Data Science and Research             USD 120000        120000
## 6944               Data Engineering             USD 124740        124740
## 6945               Data Engineering             USD  65488         65488
## 6946               Data Engineering             USD 213580        213580
## 6947               Data Engineering             USD 163625        163625
## 6948        Machine Learning and AI             USD 375000        375000
## 6949               Data Engineering             EUR  95000        102569
## 6950        Machine Learning and AI             USD 220000        220000
## 6951        Machine Learning and AI             USD 170000        170000
## 6952               Data Engineering             USD 235000        235000
## 6953               Data Engineering             USD 210000        210000
## 6954 Data Architecture and Modeling             USD 180000        180000
## 6955 Data Architecture and Modeling             USD 115000        115000
## 6956 Data Architecture and Modeling             USD 200000        200000
## 6957 Data Architecture and Modeling             USD 115000        115000
## 6958      Data Science and Research             USD 231250        231250
## 6959      Data Science and Research             USD 138750        138750
## 6960        Machine Learning and AI             USD 284310        284310
## 6961        Machine Learning and AI             USD 153090        153090
## 6962               Data Engineering             USD 160000        160000
## 6963               Data Engineering             USD  75000         75000
## 6964                  Data Analysis             USD 125000        125000
## 6965                  Data Analysis             USD 105000        105000
## 6966                  Data Analysis             GBP  90000        110736
## 6967                  Data Analysis             GBP  70000         86128
## 6968                  Data Analysis             USD  55000         55000
## 6969                  Data Analysis             USD  48000         48000
## 6970                  Data Analysis             USD 100000        100000
## 6971      Data Science and Research             USD 225900        225900
## 6972      Data Science and Research             USD 156400        156400
## 6973               Data Engineering             USD 250000        250000
## 6974               Data Engineering             USD 162500        162500
## 6975        Machine Learning and AI             USD 318300        318300
## 6976        Machine Learning and AI             USD 188800        188800
## 6977                  Data Analysis             USD 385000        385000
## 6978                  Data Analysis             USD  60000         60000
## 6979                  Data Analysis             USD 110000        110000
## 6980                  Data Analysis             USD  95000         95000
## 6981      Data Science and Research             USD 145000        145000
## 6982      Data Science and Research             USD 135000        135000
## 6983                  Data Analysis             USD 180180        180180
## 6984                  Data Analysis             USD 106020        106020
## 6985                  Data Analysis             USD  93919         93919
## 6986                  Data Analysis             USD  51962         51962
## 6987               Data Engineering             USD 241871        241871
## 6988               Data Engineering             USD 133832        133832
## 6989      Data Science and Research             USD 170000        170000
## 6990      Data Science and Research             USD  90000         90000
## 6991               Data Engineering             USD 210914        210914
## 6992               Data Engineering             USD 116704        116704
## 6993                  Data Analysis             USD 192500        192500
## 6994                  Data Analysis             USD 140000        140000
## 6995      Data Science and Research             USD 149076        149076
## 6996      Data Science and Research             USD  82365         82365
## 6997        Machine Learning and AI             USD  36000         36000
## 6998      Data Science and Research             USD 175000        175000
## 6999      Data Science and Research             USD 148750        148750
## 7000      Data Science and Research             USD 370000        370000
## 7001      Data Science and Research             USD 200000        200000
## 7002      Data Science and Research             USD 235000        235000
## 7003      Data Science and Research             USD 185000        185000
## 7004        Machine Learning and AI             GBP 100000        123040
## 7005        Machine Learning and AI             GBP  80000         98432
## 7006      Data Science and Research             USD 216100        216100
## 7007      Data Science and Research             USD 140800        140800
## 7008        Machine Learning and AI             GBP 120000        147648
## 7009        Machine Learning and AI             GBP 100000        123040
## 7010        Machine Learning and AI             EUR  50000         53984
## 7011      Data Science and Research             USD 110000        110000
## 7012               Data Engineering             USD 128000        128000
## 7013               Data Engineering             USD  81500         81500
## 7014               Data Engineering             GBP  55000         67672
## 7015               Data Engineering             GBP  52000         63980
## 7016                  Data Analysis             GBP  50000         61520
## 7017                  Data Analysis             GBP  45000         55368
## 7018               Data Engineering             USD 284000        284000
## 7019               Data Engineering             USD 236000        236000
## 7020      Data Science and Research             USD 248100        248100
## 7021      Data Science and Research             USD 145900        145900
## 7022      Data Science and Research             USD 155850        155850
## 7023      Data Science and Research             USD 102544        102544
## 7024      Data Science and Research             USD 151410        151410
## 7025      Data Science and Research             USD 115360        115360
## 7026               Data Engineering             EUR  62000         66940
## 7027               Data Engineering             EUR  55000         59382
## 7028      Data Science and Research             CAD 170000        125948
## 7029               Data Engineering             USD 100000        100000
## 7030      Data Science and Research             USD 250000        250000
## 7031      Data Science and Research             USD 162500        162500
## 7032      Data Science and Research             USD 185000        185000
## 7033      Data Science and Research             USD 120250        120250
## 7034               Data Engineering             EUR  25000         26992
## 7035      Data Science and Research             USD 180000        180000
## 7036      Data Science and Research             USD  85000         85000
## 7037      Data Science and Research             USD  70000         70000
## 7038           BI and Visualization             USD 135000        135000
## 7039           BI and Visualization             USD 100000        100000
## 7040      Leadership and Management             USD 155000        155000
## 7041      Leadership and Management             USD 140000        140000
## 7042        Machine Learning and AI             USD 204500        204500
## 7043        Machine Learning and AI             USD 142200        142200
## 7044               Data Engineering             USD 226700        226700
## 7045               Data Engineering             USD 133300        133300
## 7046      Data Science and Research             USD 225000        225000
## 7047      Data Science and Research             USD 156400        156400
## 7048               Data Engineering             USD 163800        163800
## 7049               Data Engineering             USD 126000        126000
## 7050        Machine Learning and AI             USD 163800        163800
## 7051        Machine Learning and AI             USD 126000        126000
## 7052        Machine Learning and AI             USD 220000        220000
## 7053        Machine Learning and AI             USD 150000        150000
## 7054               Data Engineering             USD 145000        145000
## 7055               Data Engineering             USD 115000        115000
## 7056      Leadership and Management             USD 204500        204500
## 7057      Leadership and Management             USD 138900        138900
## 7058               Data Engineering             USD 162500        162500
## 7059               Data Engineering             USD 130000        130000
## 7060               Data Engineering             USD 150000        150000
## 7061               Data Engineering             USD 107000        107000
## 7062               Data Engineering             USD 175000        175000
## 7063               Data Engineering             USD 110000        110000
## 7064               Data Engineering             USD 226700        226700
## 7065               Data Engineering             USD 133300        133300
## 7066               Data Engineering             USD 252000        252000
## 7067               Data Engineering             USD 129000        129000
## 7068        Machine Learning and AI             USD 150000        150000
## 7069        Machine Learning and AI             USD 125000        125000
## 7070               Data Engineering             USD 252000        252000
## 7071               Data Engineering             USD 129000        129000
## 7072      Data Science and Research             USD 225000        225000
## 7073      Data Science and Research             USD 156400        156400
## 7074      Data Science and Research             USD  23000         23000
## 7075        Machine Learning and AI             USD 110000        110000
## 7076               Data Engineering             USD 265000        265000
## 7077               Data Engineering             USD 182750        182750
## 7078                  Data Analysis             USD 130000        130000
## 7079                  Data Analysis             USD 100000        100000
## 7080                  Data Analysis             USD 153600        153600
## 7081                  Data Analysis             USD 106800        106800
## 7082               Data Engineering             USD 137500        137500
## 7083               Data Engineering             USD  81500         81500
## 7084      Data Science and Research             USD 314100        314100
## 7085      Data Science and Research             USD 195800        195800
## 7086      Data Science and Research             USD 205000        205000
## 7087      Data Science and Research             USD 180000        180000
## 7088      Data Science and Research             USD 165000        165000
## 7089      Data Science and Research             USD 144000        144000
## 7090           BI and Visualization             USD 160000        160000
## 7091           BI and Visualization             USD 100000        100000
## 7092               Data Engineering             USD 200000        200000
## 7093               Data Engineering             USD 145000        145000
## 7094                  Data Analysis             USD 150000        150000
## 7095                  Data Analysis             USD 100000        100000
## 7096      Leadership and Management             USD 199000        199000
## 7097      Leadership and Management             USD 112000        112000
## 7098      Data Science and Research             USD 105000        105000
## 7099      Data Science and Research             USD  70000         70000
## 7100               Data Engineering             USD 130000        130000
## 7101                  Data Analysis             USD 180180        180180
## 7102                  Data Analysis             USD 106020        106020
## 7103               Data Engineering             USD 160000        160000
## 7104               Data Engineering             USD 135000        135000
## 7105      Data Science and Research             USD 183000        183000
## 7106      Data Science and Research             USD 134000        134000
## 7107        Machine Learning and AI             USD 220000        220000
## 7108        Machine Learning and AI             USD 150000        150000
## 7109      Data Science and Research             USD 350000        350000
## 7110      Data Science and Research             USD 262500        262500
## 7111                  Data Analysis             USD 122000        122000
## 7112                  Data Analysis             USD  94000         94000
## 7113        Machine Learning and AI             USD 276000        276000
## 7114        Machine Learning and AI             USD 184000        184000
## 7115               Data Engineering             USD 310000        310000
## 7116               Data Engineering             USD 239000        239000
## 7117      Data Science and Research             USD 225000        225000
## 7118      Data Science and Research             USD 156400        156400
## 7119        Machine Learning and AI             USD 180000        180000
## 7120        Machine Learning and AI             USD 150000        150000
## 7121      Data Science and Research             USD 228000        228000
## 7122      Data Science and Research             USD 152000        152000
## 7123      Data Science and Research             USD 209450        209450
## 7124      Data Science and Research             USD 158677        158677
## 7125                  Data Analysis             USD 175000        175000
## 7126                  Data Analysis             USD 145000        145000
## 7127               Data Engineering             USD 240000        240000
## 7128               Data Engineering             USD 170000        170000
## 7129                  Data Analysis             USD 103200        103200
## 7130                  Data Analysis             USD  61200         61200
## 7131      Data Science and Research             USD 155000        155000
## 7132               Data Engineering             SGD  90000         66970
## 7133      Data Science and Research             EUR  59000         63701
## 7134      Data Science and Research             USD 237000        237000
## 7135      Data Science and Research             USD 145000        145000
## 7136      Data Science and Research             USD 240000        240000
## 7137      Data Science and Research             USD 139000        139000
## 7138 Data Architecture and Modeling             USD 174500        174500
## 7139 Data Architecture and Modeling             USD 113000        113000
## 7140                  Data Analysis             USD 130000        130000
## 7141                  Data Analysis             USD  87000         87000
## 7142                  Data Analysis             USD 160000        160000
##            employee_residence experience_level employment_type work_setting
## 1                     Germany        Mid-level       Full-time       Hybrid
## 2               United States           Senior       Full-time    In-person
## 3               United States           Senior       Full-time    In-person
## 4               United States           Senior       Full-time    In-person
## 5               United States           Senior       Full-time    In-person
## 6               United States           Senior       Full-time       Remote
## 7               United States           Senior       Full-time       Remote
## 8               United States        Mid-level       Full-time    In-person
## 9               United States        Mid-level       Full-time    In-person
## 10              United States        Executive       Full-time       Remote
## 11              United States        Executive       Full-time       Remote
## 12              United States           Senior       Full-time    In-person
## 13              United States           Senior       Full-time    In-person
## 14             United Kingdom        Mid-level       Full-time    In-person
## 15             United Kingdom        Mid-level       Full-time    In-person
## 16              United States      Entry-level       Full-time    In-person
## 17              United States      Entry-level       Full-time    In-person
## 18              United States           Senior       Full-time    In-person
## 19              United States           Senior       Full-time    In-person
## 20              United States        Mid-level       Full-time    In-person
## 21              United States        Mid-level       Full-time    In-person
## 22              United States        Mid-level       Full-time    In-person
## 23              United States        Mid-level       Full-time    In-person
## 24              United States        Mid-level       Full-time    In-person
## 25              United States        Mid-level       Full-time    In-person
## 26              United States           Senior       Full-time    In-person
## 27              United States           Senior       Full-time    In-person
## 28              United States        Mid-level       Full-time    In-person
## 29              United States        Mid-level       Full-time    In-person
## 30              United States           Senior       Full-time    In-person
## 31              United States           Senior       Full-time    In-person
## 32              United States           Senior       Full-time    In-person
## 33              United States           Senior       Full-time    In-person
## 34              United States           Senior       Full-time    In-person
## 35              United States           Senior       Full-time    In-person
## 36              United States        Mid-level       Full-time    In-person
## 37              United States        Mid-level       Full-time    In-person
## 38              United States           Senior       Full-time    In-person
## 39              United States           Senior       Full-time    In-person
## 40              United States           Senior       Full-time    In-person
## 41              United States           Senior       Full-time    In-person
## 42              United States           Senior       Full-time    In-person
## 43              United States           Senior       Full-time    In-person
## 44              United States           Senior       Full-time    In-person
## 45              United States           Senior       Full-time    In-person
## 46              United States           Senior       Full-time    In-person
## 47              United States           Senior       Full-time    In-person
## 48              United States           Senior       Full-time       Remote
## 49              United States           Senior       Full-time       Remote
## 50              United States           Senior       Full-time    In-person
## 51              United States           Senior       Full-time    In-person
## 52              United States           Senior       Full-time    In-person
## 53              United States           Senior       Full-time    In-person
## 54              United States      Entry-level       Full-time       Remote
## 55              United States      Entry-level       Full-time       Remote
## 56              United States           Senior       Full-time    In-person
## 57              United States           Senior       Full-time    In-person
## 58              United States           Senior       Full-time    In-person
## 59              United States           Senior       Full-time    In-person
## 60              United States        Mid-level       Full-time    In-person
## 61              United States        Mid-level       Full-time    In-person
## 62              United States           Senior       Full-time    In-person
## 63              United States           Senior       Full-time    In-person
## 64              United States      Entry-level       Full-time    In-person
## 65              United States      Entry-level       Full-time    In-person
## 66                     Canada           Senior       Full-time    In-person
## 67                     Canada           Senior       Full-time    In-person
## 68             United Kingdom           Senior       Full-time    In-person
## 69             United Kingdom           Senior       Full-time    In-person
## 70              United States           Senior       Full-time    In-person
## 71              United States           Senior       Full-time    In-person
## 72              United States        Mid-level       Full-time       Remote
## 73              United States        Mid-level       Full-time       Remote
## 74              United States           Senior       Full-time    In-person
## 75              United States           Senior       Full-time    In-person
## 76              United States        Mid-level       Full-time       Remote
## 77              United States        Mid-level       Full-time       Remote
## 78              United States        Mid-level       Full-time    In-person
## 79              United States        Mid-level       Full-time    In-person
## 80              United States           Senior       Full-time    In-person
## 81              United States           Senior       Full-time    In-person
## 82              United States        Mid-level       Full-time       Remote
## 83              United States        Mid-level       Full-time       Remote
## 84              United States           Senior       Full-time       Remote
## 85              United States           Senior       Full-time       Remote
## 86              United States        Mid-level       Full-time    In-person
## 87              United States        Mid-level       Full-time    In-person
## 88              United States           Senior       Full-time       Remote
## 89              United States           Senior       Full-time       Remote
## 90              United States        Mid-level       Full-time    In-person
## 91              United States        Mid-level       Full-time    In-person
## 92              United States        Mid-level       Full-time    In-person
## 93              United States        Mid-level       Full-time    In-person
## 94              United States        Mid-level       Full-time    In-person
## 95              United States        Mid-level       Full-time    In-person
## 96              United States           Senior       Full-time    In-person
## 97              United States           Senior       Full-time    In-person
## 98              United States           Senior       Full-time    In-person
## 99              United States           Senior       Full-time    In-person
## 100             United States           Senior       Full-time    In-person
## 101             United States           Senior       Full-time    In-person
## 102             United States           Senior       Full-time       Remote
## 103             United States           Senior       Full-time       Remote
## 104             United States        Mid-level       Full-time    In-person
## 105             United States        Mid-level       Full-time    In-person
## 106             United States           Senior       Full-time       Remote
## 107             United States           Senior       Full-time       Remote
## 108             United States        Mid-level       Full-time    In-person
## 109             United States        Mid-level       Full-time    In-person
## 110             United States           Senior       Full-time       Remote
## 111             United States           Senior       Full-time       Remote
## 112             United States        Mid-level       Full-time       Remote
## 113             United States        Mid-level       Full-time       Remote
## 114             United States        Mid-level       Full-time    In-person
## 115             United States        Mid-level       Full-time    In-person
## 116             United States        Mid-level       Full-time    In-person
## 117             United States        Mid-level       Full-time    In-person
## 118             United States           Senior       Full-time    In-person
## 119             United States           Senior       Full-time    In-person
## 120             United States        Mid-level       Full-time    In-person
## 121             United States        Mid-level       Full-time    In-person
## 122             United States           Senior       Full-time    In-person
## 123             United States           Senior       Full-time    In-person
## 124            United Kingdom      Entry-level       Full-time       Remote
## 125            United Kingdom      Entry-level       Full-time       Remote
## 126             United States           Senior       Full-time    In-person
## 127             United States           Senior       Full-time    In-person
## 128             United States        Mid-level       Full-time    In-person
## 129             United States        Mid-level       Full-time    In-person
## 130             United States           Senior       Full-time    In-person
## 131             United States           Senior       Full-time    In-person
## 132                    Canada        Mid-level       Full-time       Remote
## 133                    Canada        Mid-level       Full-time       Remote
## 134             United States           Senior       Full-time    In-person
## 135             United States           Senior       Full-time    In-person
## 136             United States           Senior       Full-time       Remote
## 137             United States           Senior       Full-time       Remote
## 138             United States           Senior       Full-time       Remote
## 139             United States           Senior       Full-time       Remote
## 140             United States        Mid-level       Full-time    In-person
## 141             United States        Mid-level       Full-time    In-person
## 142             United States           Senior       Full-time    In-person
## 143             United States           Senior       Full-time    In-person
## 144             United States      Entry-level       Full-time    In-person
## 145             United States           Senior       Full-time    In-person
## 146             United States           Senior       Full-time    In-person
## 147             United States           Senior       Full-time       Remote
## 148             United States           Senior       Full-time       Remote
## 149             United States           Senior       Full-time    In-person
## 150             United States           Senior       Full-time    In-person
## 151             United States           Senior       Full-time    In-person
## 152             United States           Senior       Full-time    In-person
## 153             United States           Senior       Full-time    In-person
## 154             United States           Senior       Full-time    In-person
## 155             United States        Mid-level       Full-time    In-person
## 156             United States        Mid-level       Full-time    In-person
## 157             United States           Senior       Full-time    In-person
## 158             United States           Senior       Full-time    In-person
## 159             United States           Senior       Full-time    In-person
## 160             United States           Senior       Full-time    In-person
## 161             United States      Entry-level       Full-time    In-person
## 162             United States      Entry-level       Full-time    In-person
## 163             United States           Senior       Full-time    In-person
## 164             United States           Senior       Full-time    In-person
## 165            United Kingdom        Mid-level       Full-time    In-person
## 166            United Kingdom        Mid-level       Full-time    In-person
## 167                     Spain      Entry-level       Full-time    In-person
## 168                     Spain      Entry-level       Full-time    In-person
## 169            United Kingdom      Entry-level       Full-time    In-person
## 170            United Kingdom      Entry-level       Full-time    In-person
## 171            United Kingdom      Entry-level       Full-time    In-person
## 172            United Kingdom      Entry-level       Full-time    In-person
## 173                   Ireland           Senior       Full-time       Hybrid
## 174                    Canada           Senior       Full-time       Remote
## 175                    Canada           Senior       Full-time       Remote
## 176             United States           Senior       Full-time    In-person
## 177             United States           Senior       Full-time    In-person
## 178              South Africa           Senior       Full-time    In-person
## 179              South Africa           Senior       Full-time    In-person
## 180             United States           Senior       Full-time    In-person
## 181             United States           Senior       Full-time    In-person
## 182             United States           Senior       Full-time    In-person
## 183             United States           Senior       Full-time    In-person
## 184             United States           Senior       Full-time    In-person
## 185             United States           Senior       Full-time    In-person
## 186             United States           Senior       Full-time    In-person
## 187             United States           Senior       Full-time    In-person
## 188             United States        Mid-level       Full-time    In-person
## 189             United States        Mid-level       Full-time    In-person
## 190             United States        Mid-level       Full-time    In-person
## 191             United States        Mid-level       Full-time    In-person
## 192             United States      Entry-level       Full-time    In-person
## 193             United States      Entry-level       Full-time    In-person
## 194             United States        Mid-level       Full-time    In-person
## 195             United States        Mid-level       Full-time    In-person
## 196             United States           Senior       Full-time    In-person
## 197             United States           Senior       Full-time    In-person
## 198             United States        Mid-level       Full-time    In-person
## 199             United States        Mid-level       Full-time    In-person
## 200                     Spain           Senior       Full-time    In-person
## 201                     Spain           Senior       Full-time    In-person
## 202             United States        Mid-level       Full-time    In-person
## 203             United States        Mid-level       Full-time    In-person
## 204             United States        Mid-level       Full-time    In-person
## 205             United States        Mid-level       Full-time    In-person
## 206             United States        Mid-level       Full-time    In-person
## 207             United States        Mid-level       Full-time    In-person
## 208                    Poland           Senior       Full-time       Remote
## 209                    Poland           Senior       Full-time       Remote
## 210            United Kingdom           Senior       Full-time       Remote
## 211             United States           Senior       Full-time    In-person
## 212             United States           Senior       Full-time    In-person
## 213             United States           Senior       Full-time    In-person
## 214             United States           Senior       Full-time    In-person
## 215             United States           Senior       Full-time    In-person
## 216             United States           Senior       Full-time    In-person
## 217             United States        Mid-level       Full-time    In-person
## 218             United States        Mid-level       Full-time    In-person
## 219            United Kingdom        Mid-level       Full-time    In-person
## 220            United Kingdom        Mid-level       Full-time    In-person
## 221             United States           Senior       Full-time    In-person
## 222             United States           Senior       Full-time    In-person
## 223             United States           Senior       Full-time    In-person
## 224             United States           Senior       Full-time    In-person
## 225             United States        Mid-level       Full-time    In-person
## 226             United States        Mid-level       Full-time    In-person
## 227                    Canada           Senior       Full-time    In-person
## 228                    Canada           Senior       Full-time    In-person
## 229             United States           Senior       Full-time    In-person
## 230             United States           Senior       Full-time    In-person
## 231            United Kingdom      Entry-level       Full-time    In-person
## 232            United Kingdom      Entry-level       Full-time    In-person
## 233             United States           Senior       Full-time       Remote
## 234             United States           Senior       Full-time       Remote
## 235             United States        Mid-level       Full-time       Remote
## 236             United States        Mid-level       Full-time    In-person
## 237             United States        Mid-level       Full-time    In-person
## 238             United States        Mid-level       Full-time    In-person
## 239             United States        Mid-level       Full-time    In-person
## 240             United States           Senior       Full-time    In-person
## 241             United States           Senior       Full-time    In-person
## 242             United States      Entry-level       Full-time    In-person
## 243             United States      Entry-level       Full-time    In-person
## 244             United States        Mid-level       Full-time       Remote
## 245             United States        Mid-level       Full-time       Remote
## 246             United States        Mid-level       Full-time    In-person
## 247             United States        Mid-level       Full-time    In-person
## 248             United States           Senior       Full-time    In-person
## 249             United States           Senior       Full-time    In-person
## 250            United Kingdom           Senior       Full-time       Remote
## 251            United Kingdom           Senior       Full-time       Remote
## 252             United States           Senior       Full-time    In-person
## 253             United States           Senior       Full-time    In-person
## 254             United States           Senior       Full-time    In-person
## 255             United States           Senior       Full-time    In-person
## 256             United States           Senior       Full-time       Remote
## 257             United States           Senior       Full-time       Remote
## 258             United States      Entry-level       Full-time       Remote
## 259             United States      Entry-level       Full-time       Remote
## 260             United States           Senior       Full-time    In-person
## 261             United States           Senior       Full-time    In-person
## 262            United Kingdom        Mid-level       Full-time    In-person
## 263            United Kingdom        Mid-level       Full-time    In-person
## 264             United States           Senior       Full-time       Remote
## 265             United States           Senior       Full-time       Remote
## 266             United States           Senior       Full-time    In-person
## 267             United States           Senior       Full-time    In-person
## 268             United States           Senior       Full-time    In-person
## 269             United States           Senior       Full-time    In-person
## 270             United States           Senior       Full-time    In-person
## 271             United States           Senior       Full-time    In-person
## 272             United States        Mid-level       Full-time    In-person
## 273             United States        Mid-level       Full-time    In-person
## 274             United States        Mid-level       Full-time    In-person
## 275             United States        Mid-level       Full-time    In-person
## 276             United States           Senior       Full-time    In-person
## 277             United States           Senior       Full-time    In-person
## 278             United States           Senior       Full-time       Remote
## 279             United States           Senior       Full-time       Remote
## 280             United States           Senior       Full-time    In-person
## 281             United States           Senior       Full-time    In-person
## 282             United States        Mid-level       Full-time    In-person
## 283             United States           Senior       Full-time    In-person
## 284             United States           Senior       Full-time    In-person
## 285             United States           Senior       Full-time    In-person
## 286             United States           Senior       Full-time    In-person
## 287             United States           Senior       Full-time       Remote
## 288             United States           Senior       Full-time       Remote
## 289             United States           Senior       Full-time    In-person
## 290             United States           Senior       Full-time    In-person
## 291             United States        Executive       Full-time       Remote
## 292             United States        Executive       Full-time       Remote
## 293             United States           Senior       Full-time    In-person
## 294             United States        Mid-level       Full-time       Remote
## 295             United States        Mid-level       Full-time       Remote
## 296             United States           Senior       Full-time    In-person
## 297             United States           Senior       Full-time    In-person
## 298             United States        Mid-level       Full-time    In-person
## 299             United States        Mid-level       Full-time    In-person
## 300             United States        Mid-level       Full-time    In-person
## 301             United States        Mid-level       Full-time    In-person
## 302             United States           Senior       Full-time       Remote
## 303             United States           Senior       Full-time       Remote
## 304             United States           Senior       Full-time       Remote
## 305             United States           Senior       Full-time       Remote
## 306             United States        Mid-level       Full-time       Remote
## 307             United States        Mid-level       Full-time       Remote
## 308             United States           Senior       Full-time       Remote
## 309             United States           Senior       Full-time       Remote
## 310             United States        Mid-level       Full-time       Remote
## 311             United States        Mid-level       Full-time       Remote
## 312             United States           Senior       Full-time       Remote
## 313             United States           Senior       Full-time       Remote
## 314             United States           Senior       Full-time    In-person
## 315             United States           Senior       Full-time    In-person
## 316                    France           Senior       Full-time       Hybrid
## 317             United States           Senior       Full-time    In-person
## 318             United States           Senior       Full-time    In-person
## 319             United States        Mid-level       Full-time    In-person
## 320             United States        Mid-level       Full-time    In-person
## 321             United States           Senior       Full-time    In-person
## 322             United States           Senior       Full-time    In-person
## 323             United States      Entry-level       Part-time    In-person
## 324             United States      Entry-level       Part-time    In-person
## 325             United States           Senior       Full-time    In-person
## 326             United States           Senior       Full-time    In-person
## 327             United States           Senior       Full-time    In-person
## 328             United States           Senior       Full-time    In-person
## 329             United States        Mid-level       Full-time    In-person
## 330             United States        Mid-level       Full-time    In-person
## 331             United States      Entry-level       Full-time       Remote
## 332             United States      Entry-level       Full-time       Remote
## 333             United States        Mid-level       Full-time    In-person
## 334             United States        Mid-level       Full-time    In-person
## 335             United States           Senior       Full-time    In-person
## 336             United States           Senior       Full-time    In-person
## 337             United States           Senior       Full-time    In-person
## 338             United States           Senior       Full-time    In-person
## 339             United States           Senior       Full-time    In-person
## 340             United States           Senior       Full-time    In-person
## 341             United States           Senior       Full-time    In-person
## 342             United States           Senior       Full-time    In-person
## 343             United States           Senior       Full-time    In-person
## 344             United States           Senior       Full-time    In-person
## 345             United States           Senior       Full-time    In-person
## 346             United States           Senior       Full-time    In-person
## 347             United States           Senior       Full-time    In-person
## 348             United States           Senior       Full-time    In-person
## 349             United States        Mid-level       Full-time    In-person
## 350             United States        Mid-level       Full-time    In-person
## 351             United States           Senior       Full-time       Remote
## 352             United States           Senior       Full-time       Remote
## 353             United States           Senior       Full-time    In-person
## 354             United States           Senior       Full-time    In-person
## 355             United States           Senior       Full-time    In-person
## 356             United States           Senior       Full-time    In-person
## 357             United States           Senior       Full-time    In-person
## 358             United States           Senior       Full-time    In-person
## 359             United States           Senior       Full-time    In-person
## 360             United States           Senior       Full-time    In-person
## 361             United States           Senior       Full-time    In-person
## 362             United States           Senior       Full-time    In-person
## 363             United States           Senior       Full-time    In-person
## 364             United States           Senior       Full-time    In-person
## 365             United States        Mid-level       Full-time    In-person
## 366             United States        Mid-level       Full-time    In-person
## 367             United States           Senior       Full-time    In-person
## 368             United States           Senior       Full-time    In-person
## 369             United States      Entry-level       Full-time       Remote
## 370             United States      Entry-level       Full-time       Remote
## 371             United States        Executive       Full-time    In-person
## 372             United States        Executive       Full-time    In-person
## 373             United States           Senior       Full-time    In-person
## 374             United States           Senior       Full-time    In-person
## 375             United States           Senior       Full-time       Remote
## 376             United States           Senior       Full-time       Remote
## 377             United States           Senior       Full-time    In-person
## 378             United States           Senior       Full-time    In-person
## 379             United States           Senior       Full-time    In-person
## 380             United States           Senior       Full-time    In-person
## 381             United States           Senior       Full-time    In-person
## 382             United States           Senior       Full-time    In-person
## 383                    Canada           Senior       Full-time       Remote
## 384                    Canada           Senior       Full-time       Remote
## 385             United States           Senior       Full-time       Remote
## 386             United States           Senior       Full-time       Remote
## 387             United States           Senior       Full-time       Remote
## 388             United States           Senior       Full-time       Remote
## 389             United States           Senior       Full-time    In-person
## 390             United States           Senior       Full-time    In-person
## 391             United States           Senior       Full-time    In-person
## 392             United States        Mid-level       Full-time       Remote
## 393             United States        Mid-level       Full-time       Remote
## 394             United States           Senior       Full-time    In-person
## 395             United States           Senior       Full-time    In-person
## 396             United States           Senior       Full-time    In-person
## 397             United States           Senior       Full-time    In-person
## 398             United States        Executive       Full-time       Remote
## 399             United States        Executive       Full-time       Remote
## 400             United States           Senior       Full-time       Remote
## 401             United States           Senior       Full-time       Remote
## 402             United States           Senior       Full-time    In-person
## 403             United States           Senior       Full-time    In-person
## 404             United States           Senior       Full-time    In-person
## 405             United States           Senior       Full-time    In-person
## 406             United States        Executive       Full-time    In-person
## 407             United States        Executive       Full-time    In-person
## 408             United States           Senior       Full-time    In-person
## 409             United States           Senior       Full-time    In-person
## 410             United States           Senior       Full-time    In-person
## 411             United States           Senior       Full-time    In-person
## 412             United States           Senior       Full-time    In-person
## 413             United States           Senior       Full-time    In-person
## 414                    Canada           Senior       Full-time       Remote
## 415                    Canada           Senior       Full-time       Remote
## 416             United States           Senior       Full-time    In-person
## 417             United States           Senior       Full-time    In-person
## 418             United States           Senior       Full-time    In-person
## 419             United States           Senior       Full-time    In-person
## 420             United States        Mid-level       Full-time       Remote
## 421             United States        Mid-level       Full-time       Remote
## 422             United States           Senior       Full-time    In-person
## 423             United States           Senior       Full-time    In-person
## 424             United States        Mid-level       Full-time    In-person
## 425             United States        Mid-level       Full-time    In-person
## 426             United States           Senior       Full-time    In-person
## 427             United States           Senior       Full-time    In-person
## 428             United States        Mid-level       Full-time       Remote
## 429             United States        Mid-level       Full-time       Remote
## 430             United States           Senior       Full-time    In-person
## 431             United States           Senior       Full-time    In-person
## 432             United States      Entry-level       Full-time    In-person
## 433             United States      Entry-level       Full-time    In-person
## 434             United States        Mid-level       Full-time       Remote
## 435             United States        Mid-level       Full-time       Remote
## 436             United States           Senior       Full-time    In-person
## 437             United States           Senior       Full-time    In-person
## 438             United States           Senior       Full-time       Remote
## 439             United States           Senior       Full-time       Remote
## 440             United States        Mid-level       Full-time       Remote
## 441             United States        Mid-level       Full-time       Remote
## 442             United States        Mid-level       Full-time    In-person
## 443             United States        Mid-level       Full-time    In-person
## 444             United States        Executive       Full-time       Remote
## 445             United States        Executive       Full-time       Remote
## 446             United States           Senior       Full-time    In-person
## 447             United States           Senior       Full-time    In-person
## 448             United States      Entry-level       Full-time    In-person
## 449             United States      Entry-level       Full-time    In-person
## 450             United States           Senior       Full-time       Remote
## 451             United States           Senior       Full-time       Remote
## 452             United States           Senior       Full-time       Remote
## 453             United States           Senior       Full-time       Remote
## 454             United States      Entry-level       Full-time    In-person
## 455             United States      Entry-level       Full-time    In-person
## 456             United States           Senior       Full-time    In-person
## 457             United States           Senior       Full-time    In-person
## 458             United States           Senior       Full-time    In-person
## 459             United States           Senior       Full-time    In-person
## 460             United States           Senior       Full-time       Remote
## 461             United States           Senior       Full-time       Remote
## 462             United States           Senior       Full-time    In-person
## 463             United States           Senior       Full-time    In-person
## 464             United States           Senior       Full-time    In-person
## 465             United States           Senior       Full-time    In-person
## 466             United States        Mid-level       Full-time    In-person
## 467             United States        Mid-level       Full-time    In-person
## 468             United States           Senior       Full-time    In-person
## 469             United States           Senior       Full-time    In-person
## 470             United States        Mid-level       Full-time    In-person
## 471             United States        Mid-level       Full-time    In-person
## 472             United States           Senior       Full-time    In-person
## 473             United States           Senior       Full-time    In-person
## 474             United States        Mid-level       Full-time    In-person
## 475             United States        Mid-level       Full-time    In-person
## 476             United States           Senior       Full-time    In-person
## 477             United States           Senior       Full-time    In-person
## 478             United States        Mid-level       Full-time       Remote
## 479             United States        Mid-level       Full-time       Remote
## 480             United States           Senior       Full-time       Remote
## 481             United States           Senior       Full-time       Remote
## 482             United States           Senior       Full-time    In-person
## 483             United States           Senior       Full-time    In-person
## 484             United States           Senior       Full-time       Remote
## 485             United States           Senior       Full-time       Remote
## 486             United States        Mid-level       Full-time    In-person
## 487             United States        Mid-level       Full-time    In-person
## 488             United States        Mid-level       Full-time    In-person
## 489             United States        Mid-level       Full-time    In-person
## 490             United States           Senior       Full-time    In-person
## 491             United States           Senior       Full-time    In-person
## 492             United States        Mid-level       Full-time       Remote
## 493             United States        Mid-level       Full-time       Remote
## 494             United States        Mid-level       Full-time    In-person
## 495             United States        Mid-level       Full-time    In-person
## 496             United States           Senior       Full-time    In-person
## 497             United States           Senior       Full-time    In-person
## 498             United States        Mid-level       Full-time       Remote
## 499             United States        Mid-level       Full-time       Remote
## 500             United States           Senior       Full-time       Remote
## 501             United States           Senior       Full-time       Remote
## 502             United States        Mid-level       Full-time    In-person
## 503             United States        Mid-level       Full-time    In-person
## 504             United States        Mid-level       Full-time    In-person
## 505             United States        Mid-level       Full-time    In-person
## 506                    Canada           Senior       Full-time    In-person
## 507                    Canada           Senior       Full-time    In-person
## 508             United States           Senior       Full-time    In-person
## 509             United States           Senior       Full-time    In-person
## 510             United States        Mid-level       Full-time    In-person
## 511             United States        Mid-level       Full-time    In-person
## 512             United States           Senior       Full-time    In-person
## 513             United States           Senior       Full-time    In-person
## 514             United States        Mid-level       Full-time    In-person
## 515             United States        Mid-level       Full-time    In-person
## 516             United States           Senior       Full-time    In-person
## 517             United States           Senior       Full-time    In-person
## 518             United States           Senior       Full-time    In-person
## 519             United States           Senior       Full-time    In-person
## 520             United States           Senior       Full-time    In-person
## 521             United States           Senior       Full-time    In-person
## 522             United States           Senior       Full-time    In-person
## 523             United States           Senior       Full-time    In-person
## 524             United States           Senior       Full-time       Remote
## 525             United States           Senior       Full-time       Remote
## 526             United States           Senior       Full-time    In-person
## 527             United States           Senior       Full-time    In-person
## 528             United States        Mid-level       Full-time    In-person
## 529             United States        Mid-level       Full-time    In-person
## 530             United States           Senior       Full-time    In-person
## 531             United States           Senior       Full-time    In-person
## 532            United Kingdom           Senior       Full-time       Remote
## 533            United Kingdom           Senior       Full-time       Remote
## 534             United States           Senior       Full-time    In-person
## 535             United States           Senior       Full-time    In-person
## 536             United States           Senior       Full-time    In-person
## 537             United States           Senior       Full-time    In-person
## 538             United States           Senior       Full-time    In-person
## 539             United States           Senior       Full-time    In-person
## 540             United States           Senior       Full-time    In-person
## 541             United States           Senior       Full-time    In-person
## 542             United States        Mid-level       Full-time    In-person
## 543             United States        Mid-level       Full-time    In-person
## 544             United States           Senior       Full-time    In-person
## 545             United States           Senior       Full-time    In-person
## 546                    Canada           Senior       Full-time       Remote
## 547                    Canada           Senior       Full-time       Remote
## 548             United States      Entry-level       Full-time    In-person
## 549             United States      Entry-level       Full-time    In-person
## 550                    Canada        Mid-level       Full-time    In-person
## 551                    Canada        Mid-level       Full-time    In-person
## 552             United States           Senior       Full-time    In-person
## 553             United States           Senior       Full-time    In-person
## 554             United States           Senior       Full-time       Remote
## 555             United States           Senior       Full-time       Remote
## 556             United States           Senior       Full-time    In-person
## 557             United States           Senior       Full-time    In-person
## 558             United States           Senior       Full-time    In-person
## 559             United States           Senior       Full-time    In-person
## 560            United Kingdom        Mid-level       Full-time    In-person
## 561            United Kingdom        Mid-level       Full-time    In-person
## 562             United States      Entry-level       Full-time    In-person
## 563             United States      Entry-level       Full-time    In-person
## 564             United States      Entry-level       Full-time    In-person
## 565             United States        Mid-level       Full-time    In-person
## 566             United States        Executive       Full-time    In-person
## 567             United States        Executive       Full-time    In-person
## 568             United States      Entry-level       Full-time       Remote
## 569             United States      Entry-level       Full-time       Remote
## 570             United States           Senior       Full-time    In-person
## 571             United States           Senior       Full-time    In-person
## 572             United States           Senior       Full-time    In-person
## 573             United States           Senior       Full-time    In-person
## 574             United States           Senior       Full-time       Remote
## 575             United States           Senior       Full-time       Remote
## 576             United States           Senior       Full-time    In-person
## 577             United States           Senior       Full-time    In-person
## 578             United States           Senior       Full-time       Remote
## 579             United States           Senior       Full-time       Remote
## 580             United States           Senior       Full-time       Remote
## 581             United States           Senior       Full-time       Remote
## 582             United States           Senior       Full-time       Remote
## 583             United States           Senior       Full-time       Remote
## 584             United States           Senior       Full-time    In-person
## 585             United States           Senior       Full-time    In-person
## 586             United States           Senior       Full-time    In-person
## 587             United States           Senior       Full-time    In-person
## 588             United States           Senior       Full-time       Remote
## 589             United States           Senior       Full-time       Remote
## 590             United States           Senior       Full-time    In-person
## 591             United States           Senior       Full-time    In-person
## 592                    Canada           Senior       Full-time    In-person
## 593                    Canada           Senior       Full-time    In-person
## 594             United States        Mid-level       Full-time       Remote
## 595             United States        Mid-level       Full-time       Remote
## 596             United States           Senior       Full-time    In-person
## 597             United States           Senior       Full-time    In-person
## 598             United States           Senior       Full-time       Remote
## 599             United States           Senior       Full-time       Remote
## 600             United States        Mid-level       Full-time       Remote
## 601             United States        Mid-level       Full-time       Remote
## 602             United States           Senior       Full-time       Remote
## 603             United States           Senior       Full-time       Remote
## 604             United States           Senior       Full-time       Remote
## 605             United States           Senior       Full-time       Remote
## 606             United States           Senior       Full-time       Remote
## 607             United States           Senior       Full-time       Remote
## 608            Czech Republic        Mid-level        Contract       Remote
## 609                     Spain        Mid-level       Full-time       Remote
## 610               Netherlands      Entry-level       Full-time       Hybrid
## 611                  Pakistan        Mid-level       Freelance       Remote
## 612             United States        Mid-level       Full-time    In-person
## 613             United States        Mid-level       Full-time    In-person
## 614             United States        Mid-level       Full-time       Remote
## 615             United States        Mid-level       Full-time       Remote
## 616             United States           Senior       Full-time    In-person
## 617             United States           Senior       Full-time    In-person
## 618             United States           Senior       Full-time       Remote
## 619             United States           Senior       Full-time       Remote
## 620             United States        Executive       Full-time    In-person
## 621             United States        Executive       Full-time    In-person
## 622            United Kingdom        Mid-level       Full-time    In-person
## 623            United Kingdom        Mid-level       Full-time    In-person
## 624             United States           Senior       Full-time    In-person
## 625             United States           Senior       Full-time    In-person
## 626             United States        Mid-level       Full-time    In-person
## 627             United States        Mid-level       Full-time    In-person
## 628             United States           Senior       Full-time    In-person
## 629             United States           Senior       Full-time    In-person
## 630             United States        Mid-level       Full-time    In-person
## 631             United States        Mid-level       Full-time    In-person
## 632             United States           Senior       Full-time    In-person
## 633             United States           Senior       Full-time    In-person
## 634             United States        Mid-level       Full-time    In-person
## 635             United States        Mid-level       Full-time    In-person
## 636             United States           Senior       Full-time    In-person
## 637             United States           Senior       Full-time    In-person
## 638             United States           Senior       Full-time       Remote
## 639             United States           Senior       Full-time       Remote
## 640                    Canada           Senior       Full-time       Remote
## 641                    Canada           Senior       Full-time       Remote
## 642             United States           Senior       Full-time    In-person
## 643             United States           Senior       Full-time    In-person
## 644             United States           Senior       Full-time       Remote
## 645             United States           Senior       Full-time       Remote
## 646             United States           Senior       Full-time    In-person
## 647             United States           Senior       Full-time    In-person
## 648             United States           Senior       Full-time       Remote
## 649             United States           Senior       Full-time       Remote
## 650             United States           Senior       Full-time       Remote
## 651             United States           Senior       Full-time       Remote
## 652             United States           Senior       Full-time    In-person
## 653             United States           Senior       Full-time    In-person
## 654             United States           Senior       Full-time       Remote
## 655             United States           Senior       Full-time       Remote
## 656             United States           Senior       Full-time       Remote
## 657             United States           Senior       Full-time       Remote
## 658             United States           Senior       Full-time    In-person
## 659             United States           Senior       Full-time    In-person
## 660             United States        Mid-level       Full-time    In-person
## 661             United States        Mid-level       Full-time    In-person
## 662             United States           Senior       Full-time    In-person
## 663             United States           Senior       Full-time    In-person
## 664                   Ukraine      Entry-level       Full-time       Remote
## 665             United States           Senior       Full-time    In-person
## 666             United States           Senior       Full-time    In-person
## 667             United States           Senior       Full-time    In-person
## 668             United States           Senior       Full-time    In-person
## 669             United States           Senior       Full-time    In-person
## 670             United States           Senior       Full-time    In-person
## 671             United States           Senior       Full-time    In-person
## 672             United States           Senior       Full-time    In-person
## 673             United States           Senior       Full-time    In-person
## 674             United States           Senior       Full-time    In-person
## 675             United States        Mid-level       Full-time    In-person
## 676             United States        Mid-level       Full-time    In-person
## 677             United States           Senior       Full-time    In-person
## 678             United States           Senior       Full-time    In-person
## 679             United States           Senior       Full-time    In-person
## 680             United States           Senior       Full-time    In-person
## 681             United States        Mid-level       Full-time    In-person
## 682             United States        Mid-level       Full-time    In-person
## 683             United States           Senior       Full-time    In-person
## 684             United States           Senior       Full-time    In-person
## 685             United States           Senior       Full-time    In-person
## 686             United States           Senior       Full-time    In-person
## 687             United States        Mid-level       Full-time    In-person
## 688             United States        Mid-level       Full-time    In-person
## 689             United States        Mid-level       Full-time    In-person
## 690             United States        Mid-level       Full-time    In-person
## 691             United States           Senior       Full-time    In-person
## 692             United States           Senior       Full-time    In-person
## 693             United States           Senior       Full-time    In-person
## 694             United States           Senior       Full-time    In-person
## 695             United States           Senior       Full-time    In-person
## 696             United States           Senior       Full-time    In-person
## 697                    Canada           Senior       Full-time    In-person
## 698                    Canada           Senior       Full-time    In-person
## 699             United States           Senior       Full-time    In-person
## 700             United States           Senior       Full-time    In-person
## 701             United States        Mid-level       Full-time    In-person
## 702             United States        Mid-level       Full-time    In-person
## 703             United States           Senior       Full-time    In-person
## 704             United States           Senior       Full-time    In-person
## 705             United States           Senior       Full-time       Remote
## 706             United States           Senior       Full-time       Remote
## 707             United States        Mid-level       Full-time       Remote
## 708             United States        Mid-level       Full-time       Remote
## 709             United States        Mid-level       Full-time    In-person
## 710             United States        Mid-level       Full-time    In-person
## 711             United States        Executive       Full-time    In-person
## 712             United States        Executive       Full-time    In-person
## 713             United States           Senior       Full-time    In-person
## 714             United States           Senior       Full-time    In-person
## 715             United States           Senior       Full-time    In-person
## 716             United States           Senior       Full-time    In-person
## 717             United States           Senior       Full-time       Remote
## 718             United States           Senior       Full-time       Remote
## 719             United States           Senior       Full-time    In-person
## 720             United States           Senior       Full-time    In-person
## 721             United States           Senior       Full-time    In-person
## 722             United States           Senior       Full-time    In-person
## 723             United States           Senior       Full-time    In-person
## 724             United States           Senior       Full-time    In-person
## 725             United States        Mid-level       Full-time       Remote
## 726             United States        Mid-level       Full-time       Remote
## 727             United States           Senior       Full-time    In-person
## 728             United States           Senior       Full-time    In-person
## 729                    Canada           Senior       Full-time       Remote
## 730                    Canada           Senior       Full-time       Remote
## 731                    Canada           Senior       Full-time    In-person
## 732                    Canada           Senior       Full-time    In-person
## 733             United States           Senior       Full-time    In-person
## 734             United States           Senior       Full-time    In-person
## 735             United States        Mid-level       Full-time       Remote
## 736             United States        Mid-level       Full-time       Remote
## 737             United States           Senior       Full-time    In-person
## 738             United States           Senior       Full-time    In-person
## 739             United States      Entry-level       Full-time    In-person
## 740             United States      Entry-level       Full-time    In-person
## 741             United States           Senior       Full-time       Remote
## 742             United States           Senior       Full-time       Remote
## 743             United States        Mid-level       Full-time    In-person
## 744             United States        Mid-level       Full-time    In-person
## 745             United States        Mid-level       Full-time    In-person
## 746             United States        Mid-level       Full-time    In-person
## 747             United States        Mid-level       Full-time       Remote
## 748             United States        Mid-level       Full-time       Remote
## 749             United States           Senior       Full-time    In-person
## 750             United States           Senior       Full-time    In-person
## 751                 Lithuania           Senior       Full-time    In-person
## 752                 Lithuania           Senior       Full-time    In-person
## 753             United States           Senior       Full-time    In-person
## 754             United States           Senior       Full-time    In-person
## 755             United States           Senior       Full-time    In-person
## 756             United States           Senior       Full-time    In-person
## 757             United States           Senior       Full-time       Remote
## 758             United States           Senior       Full-time       Remote
## 759                    Canada           Senior       Full-time       Remote
## 760                    Canada           Senior       Full-time       Remote
## 761             United States           Senior       Full-time    In-person
## 762             United States           Senior       Full-time    In-person
## 763             United States           Senior       Full-time    In-person
## 764             United States           Senior       Full-time    In-person
## 765             United States           Senior       Full-time    In-person
## 766             United States           Senior       Full-time    In-person
## 767             United States        Mid-level       Full-time    In-person
## 768             United States        Mid-level       Full-time    In-person
## 769             United States           Senior       Full-time    In-person
## 770             United States           Senior       Full-time    In-person
## 771             United States           Senior       Full-time    In-person
## 772             United States           Senior       Full-time    In-person
## 773             United States           Senior       Full-time    In-person
## 774             United States           Senior       Full-time    In-person
## 775             United States           Senior       Full-time    In-person
## 776             United States           Senior       Full-time    In-person
## 777             United States           Senior       Full-time    In-person
## 778             United States           Senior       Full-time    In-person
## 779             United States           Senior       Full-time       Remote
## 780             United States           Senior       Full-time       Remote
## 781             United States           Senior       Full-time    In-person
## 782             United States           Senior       Full-time    In-person
## 783             United States           Senior       Full-time    In-person
## 784             United States           Senior       Full-time    In-person
## 785             United States        Mid-level       Full-time       Remote
## 786             United States        Mid-level       Full-time       Remote
## 787                    Canada           Senior       Full-time    In-person
## 788                    Canada           Senior       Full-time    In-person
## 789             United States        Mid-level       Full-time       Remote
## 790             United States        Mid-level       Full-time       Remote
## 791             United States        Mid-level       Full-time    In-person
## 792             United States        Mid-level       Full-time    In-person
## 793             United States           Senior       Full-time    In-person
## 794             United States           Senior       Full-time    In-person
## 795             United States           Senior       Full-time    In-person
## 796             United States           Senior       Full-time    In-person
## 797             United States        Executive       Full-time    In-person
## 798             United States        Executive       Full-time    In-person
## 799                  Portugal        Mid-level       Full-time       Remote
## 800                  Portugal        Mid-level       Full-time       Remote
## 801             United States           Senior       Full-time    In-person
## 802             United States           Senior       Full-time    In-person
## 803             United States        Mid-level       Full-time    In-person
## 804             United States        Mid-level       Full-time    In-person
## 805             United States           Senior       Full-time    In-person
## 806             United States           Senior       Full-time    In-person
## 807             United States           Senior       Full-time    In-person
## 808             United States           Senior       Full-time    In-person
## 809             United States           Senior       Full-time    In-person
## 810             United States           Senior       Full-time    In-person
## 811             United States           Senior       Full-time    In-person
## 812             United States           Senior       Full-time    In-person
## 813             United States           Senior       Full-time       Remote
## 814             United States           Senior       Full-time       Remote
## 815             United States      Entry-level       Full-time       Remote
## 816             United States      Entry-level       Full-time       Remote
## 817             United States           Senior       Full-time    In-person
## 818             United States           Senior       Full-time    In-person
## 819                    Canada           Senior       Full-time    In-person
## 820                    Canada           Senior       Full-time    In-person
## 821             United States        Mid-level       Full-time    In-person
## 822             United States        Mid-level       Full-time    In-person
## 823             United States           Senior       Full-time    In-person
## 824             United States           Senior       Full-time    In-person
## 825             United States           Senior       Full-time       Remote
## 826             United States           Senior       Full-time       Remote
## 827             United States           Senior       Full-time    In-person
## 828             United States           Senior       Full-time    In-person
## 829             United States           Senior       Full-time    In-person
## 830             United States           Senior       Full-time    In-person
## 831             United States        Mid-level       Full-time    In-person
## 832             United States        Mid-level       Full-time    In-person
## 833            United Kingdom           Senior       Full-time    In-person
## 834            United Kingdom           Senior       Full-time    In-person
## 835             United States           Senior       Full-time    In-person
## 836             United States           Senior       Full-time    In-person
## 837             United States           Senior       Full-time    In-person
## 838             United States           Senior       Full-time    In-person
## 839             United States           Senior       Full-time    In-person
## 840             United States           Senior       Full-time    In-person
## 841             United States           Senior       Full-time    In-person
## 842             United States           Senior       Full-time    In-person
## 843             United States           Senior       Full-time    In-person
## 844             United States           Senior       Full-time    In-person
## 845             United States           Senior       Full-time    In-person
## 846             United States           Senior       Full-time    In-person
## 847             United States           Senior       Full-time    In-person
## 848             United States           Senior       Full-time    In-person
## 849             United States           Senior       Full-time    In-person
## 850             United States           Senior       Full-time    In-person
## 851             United States           Senior       Full-time    In-person
## 852             United States           Senior       Full-time    In-person
## 853             United States           Senior       Full-time    In-person
## 854             United States           Senior       Full-time    In-person
## 855             United States           Senior       Full-time       Remote
## 856             United States           Senior       Full-time       Remote
## 857             United States           Senior       Full-time    In-person
## 858             United States           Senior       Full-time    In-person
## 859             United States        Mid-level       Full-time    In-person
## 860             United States        Mid-level       Full-time    In-person
## 861             United States           Senior       Full-time    In-person
## 862             United States           Senior       Full-time    In-person
## 863             United States        Mid-level       Full-time    In-person
## 864             United States        Mid-level       Full-time    In-person
## 865             United States           Senior       Full-time       Remote
## 866             United States           Senior       Full-time       Remote
## 867             United States           Senior       Full-time    In-person
## 868             United States           Senior       Full-time    In-person
## 869             United States           Senior       Full-time       Remote
## 870             United States           Senior       Full-time       Remote
## 871             United States        Mid-level       Full-time    In-person
## 872             United States        Mid-level       Full-time    In-person
## 873             United States           Senior       Full-time    In-person
## 874             United States           Senior       Full-time    In-person
## 875             United States           Senior       Full-time       Remote
## 876             United States           Senior       Full-time       Remote
## 877             United States           Senior       Full-time    In-person
## 878             United States           Senior       Full-time    In-person
## 879             United States           Senior       Full-time    In-person
## 880             United States           Senior       Full-time    In-person
## 881             United States        Mid-level       Full-time       Remote
## 882             United States        Mid-level       Full-time       Remote
## 883             United States        Mid-level       Full-time    In-person
## 884             United States        Mid-level       Full-time    In-person
## 885             United States           Senior       Full-time    In-person
## 886             United States           Senior       Full-time    In-person
## 887             United States           Senior       Full-time       Remote
## 888             United States           Senior       Full-time       Remote
## 889             United States           Senior       Full-time       Remote
## 890             United States           Senior       Full-time       Remote
## 891             United States           Senior       Full-time    In-person
## 892             United States           Senior       Full-time    In-person
## 893             United States           Senior       Full-time       Remote
## 894             United States           Senior       Full-time       Remote
## 895             United States        Mid-level       Full-time    In-person
## 896             United States        Mid-level       Full-time    In-person
## 897             United States        Mid-level       Full-time       Remote
## 898             United States        Mid-level       Full-time       Remote
## 899             United States           Senior       Full-time    In-person
## 900             United States           Senior       Full-time    In-person
## 901             United States           Senior       Full-time       Remote
## 902             United States           Senior       Full-time       Remote
## 903             United States           Senior       Full-time       Remote
## 904             United States           Senior       Full-time       Remote
## 905             United States           Senior       Full-time    In-person
## 906             United States           Senior       Full-time    In-person
## 907             United States      Entry-level       Full-time    In-person
## 908             United States      Entry-level       Full-time    In-person
## 909             United States           Senior       Full-time       Remote
## 910             United States           Senior       Full-time       Remote
## 911             United States           Senior       Full-time    In-person
## 912             United States           Senior       Full-time    In-person
## 913             United States           Senior       Full-time       Remote
## 914             United States           Senior       Full-time       Remote
## 915               Netherlands      Entry-level       Full-time       Remote
## 916            United Kingdom      Entry-level       Full-time       Remote
## 917             United States           Senior       Full-time    In-person
## 918             United States           Senior       Full-time    In-person
## 919             United States        Mid-level       Full-time    In-person
## 920             United States        Mid-level       Full-time    In-person
## 921             United States           Senior       Full-time    In-person
## 922             United States           Senior       Full-time    In-person
## 923             United States           Senior       Full-time    In-person
## 924             United States           Senior       Full-time    In-person
## 925             United States        Mid-level       Full-time    In-person
## 926             United States        Mid-level       Full-time    In-person
## 927             United States           Senior       Full-time       Remote
## 928             United States           Senior       Full-time       Remote
## 929             United States           Senior       Full-time    In-person
## 930             United States           Senior       Full-time    In-person
## 931             United States           Senior       Full-time    In-person
## 932             United States           Senior       Full-time    In-person
## 933             United States        Mid-level       Full-time    In-person
## 934             United States        Mid-level       Full-time    In-person
## 935             United States      Entry-level       Full-time    In-person
## 936             United States      Entry-level       Full-time    In-person
## 937             United States        Mid-level       Full-time    In-person
## 938             United States        Mid-level       Full-time    In-person
## 939             United States        Executive       Full-time    In-person
## 940             United States        Executive       Full-time    In-person
## 941             United States      Entry-level       Full-time       Remote
## 942             United States      Entry-level       Full-time       Remote
## 943             United States           Senior       Full-time       Remote
## 944             United States           Senior       Full-time       Remote
## 945             United States        Executive       Full-time    In-person
## 946             United States        Executive       Full-time    In-person
## 947             United States        Mid-level       Full-time    In-person
## 948             United States        Mid-level       Full-time    In-person
## 949             United States           Senior       Full-time       Remote
## 950             United States           Senior       Full-time       Remote
## 951             United States        Executive       Full-time    In-person
## 952             United States        Executive       Full-time    In-person
## 953             United States           Senior       Full-time    In-person
## 954             United States           Senior       Full-time    In-person
## 955             United States           Senior       Full-time    In-person
## 956             United States           Senior       Full-time    In-person
## 957                  Portugal      Entry-level       Full-time       Hybrid
## 958             United States           Senior       Full-time    In-person
## 959             United States           Senior       Full-time    In-person
## 960             United States           Senior       Full-time    In-person
## 961             United States           Senior       Full-time    In-person
## 962             United States           Senior       Full-time    In-person
## 963             United States           Senior       Full-time    In-person
## 964             United States           Senior       Full-time    In-person
## 965             United States           Senior       Full-time    In-person
## 966             United States        Mid-level       Full-time       Remote
## 967             United States        Mid-level       Full-time       Remote
## 968             United States           Senior       Full-time       Remote
## 969             United States           Senior       Full-time       Remote
## 970             United States           Senior       Full-time    In-person
## 971             United States           Senior       Full-time    In-person
## 972             United States      Entry-level       Full-time       Remote
## 973             United States      Entry-level       Full-time       Remote
## 974            United Kingdom        Mid-level       Full-time    In-person
## 975            United Kingdom        Mid-level       Full-time    In-person
## 976             United States      Entry-level       Full-time    In-person
## 977             United States      Entry-level       Full-time    In-person
## 978             United States           Senior       Full-time       Remote
## 979             United States           Senior       Full-time       Remote
## 980             United States           Senior       Full-time    In-person
## 981             United States           Senior       Full-time    In-person
## 982             United States           Senior       Full-time    In-person
## 983             United States           Senior       Full-time    In-person
## 984             United States        Mid-level       Full-time    In-person
## 985             United States        Mid-level       Full-time    In-person
## 986             United States           Senior       Full-time    In-person
## 987             United States           Senior       Full-time    In-person
## 988             United States           Senior       Full-time    In-person
## 989             United States           Senior       Full-time    In-person
## 990             United States           Senior       Full-time       Remote
## 991             United States           Senior       Full-time       Remote
## 992             United States      Entry-level       Full-time    In-person
## 993             United States      Entry-level       Full-time    In-person
## 994             United States           Senior       Full-time    In-person
## 995             United States           Senior       Full-time    In-person
## 996             United States           Senior       Full-time    In-person
## 997             United States           Senior       Full-time    In-person
## 998             United States           Senior       Full-time    In-person
## 999             United States           Senior       Full-time    In-person
## 1000            United States        Mid-level       Full-time    In-person
## 1001            United States        Mid-level       Full-time    In-person
## 1002            United States           Senior       Full-time       Remote
## 1003            United States           Senior       Full-time       Remote
## 1004            United States           Senior       Full-time    In-person
## 1005            United States           Senior       Full-time    In-person
## 1006            United States      Entry-level       Full-time    In-person
## 1007            United States      Entry-level       Full-time    In-person
## 1008            United States           Senior       Full-time    In-person
## 1009            United States           Senior       Full-time    In-person
## 1010            United States           Senior       Full-time    In-person
## 1011            United States           Senior       Full-time    In-person
## 1012            United States           Senior       Full-time    In-person
## 1013            United States           Senior       Full-time    In-person
## 1014            United States           Senior       Full-time    In-person
## 1015            United States           Senior       Full-time    In-person
## 1016            United States           Senior       Full-time       Remote
## 1017            United States           Senior       Full-time       Remote
## 1018            United States           Senior       Full-time    In-person
## 1019            United States           Senior       Full-time    In-person
## 1020            United States           Senior       Full-time       Remote
## 1021            United States           Senior       Full-time       Remote
## 1022                   Canada           Senior       Full-time    In-person
## 1023                   Canada           Senior       Full-time    In-person
## 1024            United States           Senior       Full-time    In-person
## 1025            United States           Senior       Full-time    In-person
## 1026                   Canada           Senior       Full-time    In-person
## 1027                   Canada           Senior       Full-time    In-person
## 1028            United States           Senior       Full-time    In-person
## 1029            United States           Senior       Full-time    In-person
## 1030            United States           Senior       Full-time       Remote
## 1031            United States           Senior       Full-time       Remote
## 1032            United States           Senior       Full-time    In-person
## 1033            United States           Senior       Full-time    In-person
## 1034           United Kingdom           Senior       Full-time    In-person
## 1035           United Kingdom           Senior       Full-time    In-person
## 1036            United States        Mid-level       Full-time       Remote
## 1037            United States        Mid-level       Full-time       Remote
## 1038            United States        Mid-level       Full-time       Remote
## 1039            United States        Mid-level       Full-time       Remote
## 1040                   Canada        Mid-level       Full-time    In-person
## 1041                   Canada        Mid-level       Full-time    In-person
## 1042            United States        Mid-level       Full-time    In-person
## 1043            United States        Mid-level       Full-time    In-person
## 1044            United States           Senior       Full-time    In-person
## 1045            United States           Senior       Full-time    In-person
## 1046            United States           Senior       Full-time    In-person
## 1047            United States           Senior       Full-time    In-person
## 1048            United States           Senior       Full-time    In-person
## 1049            United States           Senior       Full-time    In-person
## 1050            United States           Senior       Full-time       Remote
## 1051            United States           Senior       Full-time       Remote
## 1052            United States      Entry-level       Full-time    In-person
## 1053            United States      Entry-level       Full-time    In-person
## 1054            United States        Mid-level       Full-time    In-person
## 1055            United States        Mid-level       Full-time    In-person
## 1056            United States           Senior       Full-time       Remote
## 1057            United States           Senior       Full-time       Remote
## 1058            United States           Senior       Full-time       Remote
## 1059            United States           Senior       Full-time       Remote
## 1060            United States           Senior       Full-time    In-person
## 1061            United States           Senior       Full-time    In-person
## 1062            United States           Senior       Full-time    In-person
## 1063            United States           Senior       Full-time    In-person
## 1064            United States           Senior       Full-time    In-person
## 1065            United States           Senior       Full-time    In-person
## 1066            United States        Executive       Full-time    In-person
## 1067            United States        Executive       Full-time    In-person
## 1068            United States        Mid-level       Full-time    In-person
## 1069            United States        Mid-level       Full-time    In-person
## 1070            United States           Senior       Full-time    In-person
## 1071            United States           Senior       Full-time    In-person
## 1072                   Canada        Mid-level       Full-time    In-person
## 1073                   Canada        Mid-level       Full-time    In-person
## 1074            United States      Entry-level       Full-time    In-person
## 1075            United States      Entry-level       Full-time    In-person
## 1076            United States           Senior       Full-time    In-person
## 1077            United States           Senior       Full-time    In-person
## 1078            United States           Senior       Full-time       Remote
## 1079            United States           Senior       Full-time       Remote
## 1080            United States           Senior       Full-time    In-person
## 1081            United States           Senior       Full-time    In-person
## 1082            United States        Mid-level       Full-time    In-person
## 1083            United States        Mid-level       Full-time    In-person
## 1084            United States           Senior       Full-time    In-person
## 1085            United States           Senior       Full-time    In-person
## 1086            United States           Senior       Full-time    In-person
## 1087            United States           Senior       Full-time    In-person
## 1088            United States           Senior       Full-time    In-person
## 1089            United States           Senior       Full-time    In-person
## 1090            United States        Mid-level       Full-time    In-person
## 1091            United States        Mid-level       Full-time    In-person
## 1092            United States           Senior       Full-time    In-person
## 1093            United States           Senior       Full-time    In-person
## 1094            United States        Executive       Full-time    In-person
## 1095            United States        Executive       Full-time    In-person
## 1096            United States           Senior       Full-time    In-person
## 1097            United States           Senior       Full-time    In-person
## 1098            United States           Senior       Full-time    In-person
## 1099            United States           Senior       Full-time    In-person
## 1100            United States           Senior       Full-time    In-person
## 1101            United States           Senior       Full-time    In-person
## 1102            United States        Mid-level       Full-time    In-person
## 1103            United States        Mid-level       Full-time    In-person
## 1104            United States        Mid-level       Full-time    In-person
## 1105            United States        Mid-level       Full-time    In-person
## 1106           United Kingdom        Mid-level       Full-time       Remote
## 1107           United Kingdom        Mid-level       Full-time       Remote
## 1108            United States           Senior       Full-time    In-person
## 1109            United States           Senior       Full-time    In-person
## 1110            United States           Senior       Full-time    In-person
## 1111            United States           Senior       Full-time    In-person
## 1112            United States           Senior       Full-time    In-person
## 1113            United States           Senior       Full-time    In-person
## 1114            United States           Senior       Full-time    In-person
## 1115            United States           Senior       Full-time    In-person
## 1116            United States           Senior       Full-time    In-person
## 1117            United States           Senior       Full-time    In-person
## 1118           United Kingdom           Senior       Full-time       Remote
## 1119           United Kingdom           Senior       Full-time       Remote
## 1120            United States           Senior       Full-time    In-person
## 1121            United States           Senior       Full-time    In-person
## 1122            United States           Senior       Full-time    In-person
## 1123            United States           Senior       Full-time    In-person
## 1124            United States           Senior       Full-time    In-person
## 1125            United States           Senior       Full-time    In-person
## 1126            United States           Senior       Full-time    In-person
## 1127            United States           Senior       Full-time    In-person
## 1128            United States        Mid-level       Full-time    In-person
## 1129            United States        Mid-level       Full-time    In-person
## 1130            United States           Senior       Full-time    In-person
## 1131            United States           Senior       Full-time    In-person
## 1132            United States           Senior       Full-time    In-person
## 1133            United States           Senior       Full-time    In-person
## 1134            United States           Senior       Full-time    In-person
## 1135            United States           Senior       Full-time    In-person
## 1136            United States        Mid-level       Full-time    In-person
## 1137            United States        Mid-level       Full-time    In-person
## 1138            United States           Senior       Full-time       Remote
## 1139            United States           Senior       Full-time       Remote
## 1140            United States           Senior       Full-time       Remote
## 1141            United States           Senior       Full-time       Remote
## 1142           United Kingdom        Executive       Full-time       Remote
## 1143           United Kingdom        Executive       Full-time       Remote
## 1144            United States           Senior       Full-time       Remote
## 1145            United States           Senior       Full-time       Remote
## 1146            United States      Entry-level       Full-time    In-person
## 1147            United States      Entry-level       Full-time    In-person
## 1148            United States           Senior       Full-time       Remote
## 1149            United States           Senior       Full-time       Remote
## 1150                   Canada           Senior       Full-time    In-person
## 1151                   Canada           Senior       Full-time    In-person
## 1152            United States           Senior       Full-time    In-person
## 1153            United States           Senior       Full-time    In-person
## 1154                    Spain           Senior       Full-time       Remote
## 1155            United States           Senior       Full-time    In-person
## 1156            United States           Senior       Full-time    In-person
## 1157            United States      Entry-level       Full-time    In-person
## 1158            United States      Entry-level       Full-time    In-person
## 1159            United States           Senior       Full-time    In-person
## 1160            United States           Senior       Full-time    In-person
## 1161            United States        Mid-level       Full-time    In-person
## 1162            United States        Mid-level       Full-time    In-person
## 1163            United States        Mid-level       Full-time    In-person
## 1164            United States        Mid-level       Full-time    In-person
## 1165            United States        Mid-level       Full-time    In-person
## 1166            United States        Mid-level       Full-time    In-person
## 1167            United States           Senior       Full-time       Remote
## 1168            United States           Senior       Full-time       Remote
## 1169            United States           Senior       Full-time    In-person
## 1170            United States           Senior       Full-time    In-person
## 1171            United States        Mid-level       Full-time    In-person
## 1172            United States        Mid-level       Full-time    In-person
## 1173            United States           Senior       Full-time    In-person
## 1174            United States           Senior       Full-time    In-person
## 1175            United States           Senior       Full-time    In-person
## 1176            United States           Senior       Full-time    In-person
## 1177           United Kingdom        Mid-level       Full-time    In-person
## 1178           United Kingdom        Mid-level       Full-time    In-person
## 1179            United States        Mid-level       Full-time    In-person
## 1180            United States        Mid-level       Full-time    In-person
## 1181            United States           Senior       Full-time    In-person
## 1182            United States           Senior       Full-time    In-person
## 1183            United States           Senior       Full-time    In-person
## 1184            United States           Senior       Full-time    In-person
## 1185            United States           Senior       Full-time    In-person
## 1186            United States           Senior       Full-time    In-person
## 1187            United States           Senior       Full-time    In-person
## 1188            United States           Senior       Full-time    In-person
## 1189            United States           Senior       Full-time       Remote
## 1190            United States           Senior       Full-time       Remote
## 1191            United States        Mid-level       Full-time    In-person
## 1192            United States        Mid-level       Full-time    In-person
## 1193            United States           Senior       Full-time       Remote
## 1194            United States           Senior       Full-time       Remote
## 1195            United States           Senior       Full-time       Remote
## 1196            United States           Senior       Full-time       Remote
## 1197            United States           Senior       Full-time    In-person
## 1198            United States           Senior       Full-time    In-person
## 1199                Australia           Senior       Full-time       Remote
## 1200            United States           Senior       Full-time    In-person
## 1201            United States           Senior       Full-time    In-person
## 1202            United States           Senior       Full-time    In-person
## 1203            United States           Senior       Full-time    In-person
## 1204            United States        Executive       Full-time    In-person
## 1205            United States        Executive       Full-time    In-person
## 1206            United States           Senior       Full-time    In-person
## 1207            United States           Senior       Full-time    In-person
## 1208            United States           Senior       Full-time    In-person
## 1209            United States           Senior       Full-time    In-person
## 1210            United States           Senior       Full-time    In-person
## 1211            United States           Senior       Full-time    In-person
## 1212            United States           Senior       Full-time    In-person
## 1213            United States           Senior       Full-time    In-person
## 1214            United States           Senior       Full-time       Remote
## 1215            United States           Senior       Full-time       Remote
## 1216            United States        Mid-level       Full-time       Remote
## 1217            United States        Mid-level       Full-time       Remote
## 1218            United States           Senior       Full-time    In-person
## 1219            United States           Senior       Full-time    In-person
## 1220            United States        Mid-level       Full-time       Remote
## 1221            United States        Mid-level       Full-time       Remote
## 1222            United States           Senior       Full-time       Remote
## 1223            United States           Senior       Full-time       Remote
## 1224            United States           Senior       Full-time    In-person
## 1225            United States           Senior       Full-time    In-person
## 1226            United States           Senior       Full-time       Remote
## 1227            United States           Senior       Full-time       Remote
## 1228           United Kingdom        Mid-level       Full-time    In-person
## 1229           United Kingdom        Mid-level       Full-time    In-person
## 1230            United States           Senior       Full-time    In-person
## 1231            United States           Senior       Full-time    In-person
## 1232            United States           Senior       Full-time       Remote
## 1233            United States           Senior       Full-time       Remote
## 1234            United States           Senior       Full-time       Remote
## 1235            United States           Senior       Full-time       Remote
## 1236            United States           Senior       Full-time       Remote
## 1237            United States           Senior       Full-time       Remote
## 1238            United States           Senior       Full-time       Remote
## 1239            United States           Senior       Full-time       Remote
## 1240            United States           Senior       Full-time       Remote
## 1241            United States           Senior       Full-time       Remote
## 1242            United States        Mid-level       Full-time    In-person
## 1243            United States        Mid-level       Full-time    In-person
## 1244                   France        Mid-level       Full-time       Remote
## 1245                   France        Mid-level       Full-time       Remote
## 1246            United States      Entry-level       Full-time    In-person
## 1247            United States      Entry-level       Full-time    In-person
## 1248            United States           Senior       Full-time       Remote
## 1249            United States           Senior       Full-time       Remote
## 1250           United Kingdom        Mid-level       Full-time    In-person
## 1251           United Kingdom        Mid-level       Full-time    In-person
## 1252            United States        Mid-level       Full-time       Remote
## 1253            United States        Mid-level       Full-time       Remote
## 1254            United States           Senior       Full-time    In-person
## 1255            United States           Senior       Full-time    In-person
## 1256            United States           Senior       Full-time    In-person
## 1257            United States           Senior       Full-time    In-person
## 1258            United States        Mid-level       Full-time       Remote
## 1259            United States        Mid-level       Full-time       Remote
## 1260            United States           Senior       Full-time    In-person
## 1261            United States           Senior       Full-time    In-person
## 1262            United States           Senior       Full-time    In-person
## 1263            United States           Senior       Full-time    In-person
## 1264            United States           Senior       Full-time       Remote
## 1265            United States           Senior       Full-time       Remote
## 1266            United States        Mid-level       Full-time       Remote
## 1267            United States        Mid-level       Full-time       Remote
## 1268            United States           Senior       Full-time    In-person
## 1269            United States           Senior       Full-time    In-person
## 1270            United States           Senior       Full-time    In-person
## 1271            United States           Senior       Full-time    In-person
## 1272            United States           Senior       Full-time    In-person
## 1273            United States           Senior       Full-time    In-person
## 1274            United States           Senior       Full-time    In-person
## 1275            United States           Senior       Full-time    In-person
## 1276            United States           Senior       Full-time    In-person
## 1277            United States           Senior       Full-time    In-person
## 1278            United States           Senior       Full-time    In-person
## 1279            United States           Senior       Full-time    In-person
## 1280            United States           Senior       Full-time    In-person
## 1281            United States           Senior       Full-time    In-person
## 1282            United States           Senior       Full-time    In-person
## 1283            United States           Senior       Full-time    In-person
## 1284            United States           Senior       Full-time    In-person
## 1285            United States           Senior       Full-time    In-person
## 1286            United States           Senior       Full-time    In-person
## 1287            United States           Senior       Full-time    In-person
## 1288            United States           Senior       Full-time    In-person
## 1289            United States           Senior       Full-time    In-person
## 1290            United States           Senior       Full-time       Remote
## 1291            United States           Senior       Full-time       Remote
## 1292            United States        Mid-level       Full-time    In-person
## 1293            United States        Mid-level       Full-time    In-person
## 1294            United States           Senior       Full-time    In-person
## 1295            United States           Senior       Full-time    In-person
## 1296                   Uganda      Entry-level       Full-time       Remote
## 1297            United States        Mid-level       Full-time    In-person
## 1298            United States        Mid-level       Full-time    In-person
## 1299            United States        Mid-level       Full-time    In-person
## 1300            United States        Mid-level       Full-time    In-person
## 1301            United States        Mid-level       Full-time    In-person
## 1302            United States        Mid-level       Full-time    In-person
## 1303            United States      Entry-level       Full-time    In-person
## 1304            United States      Entry-level       Full-time    In-person
## 1305            United States        Mid-level       Full-time    In-person
## 1306            United States        Mid-level       Full-time    In-person
## 1307            United States           Senior       Full-time    In-person
## 1308            United States           Senior       Full-time    In-person
## 1309            United States        Mid-level       Full-time    In-person
## 1310            United States        Mid-level       Full-time    In-person
## 1311            United States           Senior       Full-time    In-person
## 1312            United States           Senior       Full-time    In-person
## 1313                 Colombia           Senior       Full-time    In-person
## 1314                 Colombia           Senior       Full-time    In-person
## 1315            United States           Senior       Full-time    In-person
## 1316            United States           Senior       Full-time    In-person
## 1317            United States           Senior       Full-time    In-person
## 1318            United States           Senior       Full-time    In-person
## 1319            United States           Senior       Full-time       Remote
## 1320            United States           Senior       Full-time       Remote
## 1321                  Ukraine      Entry-level       Full-time       Remote
## 1322                    Italy           Senior       Full-time       Remote
## 1323            United States        Mid-level       Full-time    In-person
## 1324            United States        Mid-level       Full-time    In-person
## 1325                 Slovenia        Mid-level       Full-time    In-person
## 1326                 Slovenia        Mid-level       Full-time    In-person
## 1327            United States           Senior       Full-time    In-person
## 1328            United States           Senior       Full-time    In-person
## 1329            United States        Mid-level       Full-time    In-person
## 1330            United States        Mid-level       Full-time    In-person
## 1331            United States        Mid-level       Full-time    In-person
## 1332            United States        Mid-level       Full-time    In-person
## 1333            United States           Senior       Full-time       Remote
## 1334            United States           Senior       Full-time       Remote
## 1335            United States           Senior       Full-time       Remote
## 1336            United States           Senior       Full-time       Remote
## 1337            United States           Senior       Full-time    In-person
## 1338            United States           Senior       Full-time    In-person
## 1339            United States        Executive       Full-time    In-person
## 1340            United States        Executive       Full-time    In-person
## 1341            United States           Senior       Full-time    In-person
## 1342            United States           Senior       Full-time    In-person
## 1343            United States           Senior       Full-time       Remote
## 1344            United States           Senior       Full-time       Remote
## 1345            United States        Mid-level       Full-time    In-person
## 1346            United States        Mid-level       Full-time    In-person
## 1347            United States           Senior       Full-time    In-person
## 1348            United States           Senior       Full-time    In-person
## 1349            United States        Mid-level       Full-time    In-person
## 1350            United States        Mid-level       Full-time    In-person
## 1351            United States           Senior       Full-time    In-person
## 1352            United States           Senior       Full-time    In-person
## 1353           United Kingdom           Senior       Full-time    In-person
## 1354           United Kingdom           Senior       Full-time    In-person
## 1355            United States           Senior       Full-time    In-person
## 1356            United States           Senior       Full-time    In-person
## 1357            United States           Senior       Full-time    In-person
## 1358            United States           Senior       Full-time    In-person
## 1359            United States        Executive       Full-time       Remote
## 1360            United States        Executive       Full-time       Remote
## 1361            United States      Entry-level       Full-time       Hybrid
## 1362                  Romania           Senior       Full-time    In-person
## 1363            United States           Senior       Full-time       Remote
## 1364            United States           Senior       Full-time       Remote
## 1365            United States        Mid-level       Full-time    In-person
## 1366            United States        Mid-level       Full-time    In-person
## 1367            United States           Senior       Full-time       Remote
## 1368            United States           Senior       Full-time       Remote
## 1369            United States           Senior       Full-time    In-person
## 1370            United States           Senior       Full-time    In-person
## 1371            United States           Senior       Full-time    In-person
## 1372            United States           Senior       Full-time    In-person
## 1373            United States           Senior       Full-time    In-person
## 1374            United States           Senior       Full-time    In-person
## 1375            United States           Senior       Full-time    In-person
## 1376            United States           Senior       Full-time    In-person
## 1377            United States           Senior       Full-time    In-person
## 1378            United States           Senior       Full-time    In-person
## 1379                    Spain           Senior       Full-time    In-person
## 1380                    Spain           Senior       Full-time    In-person
## 1381            United States           Senior       Full-time    In-person
## 1382            United States           Senior       Full-time    In-person
## 1383            United States           Senior       Full-time    In-person
## 1384            United States           Senior       Full-time    In-person
## 1385            United States           Senior       Full-time       Remote
## 1386            United States           Senior       Full-time       Remote
## 1387            United States           Senior       Full-time    In-person
## 1388            United States           Senior       Full-time    In-person
## 1389            United States           Senior       Full-time       Remote
## 1390            United States           Senior       Full-time       Remote
## 1391            United States           Senior       Full-time       Remote
## 1392            United States           Senior       Full-time       Remote
## 1393            United States           Senior       Full-time    In-person
## 1394            United States           Senior       Full-time    In-person
## 1395            United States        Mid-level       Full-time       Remote
## 1396            United States        Mid-level       Full-time       Remote
## 1397            United States           Senior       Full-time    In-person
## 1398            United States           Senior       Full-time    In-person
## 1399            United States           Senior       Full-time       Remote
## 1400            United States           Senior       Full-time       Remote
## 1401            United States           Senior       Full-time       Remote
## 1402            United States           Senior       Full-time       Remote
## 1403            United States           Senior       Full-time    In-person
## 1404            United States           Senior       Full-time    In-person
## 1405            United States           Senior       Full-time    In-person
## 1406            United States           Senior       Full-time    In-person
## 1407           United Kingdom        Mid-level       Full-time    In-person
## 1408           United Kingdom        Mid-level       Full-time    In-person
## 1409            United States           Senior       Full-time    In-person
## 1410            United States           Senior       Full-time    In-person
## 1411            United States        Mid-level       Full-time    In-person
## 1412            United States        Mid-level       Full-time    In-person
## 1413            United States           Senior       Full-time       Remote
## 1414            United States           Senior       Full-time       Remote
## 1415            United States        Mid-level       Full-time    In-person
## 1416            United States        Mid-level       Full-time    In-person
## 1417            United States           Senior       Full-time    In-person
## 1418            United States           Senior       Full-time    In-person
## 1419            United States           Senior       Full-time       Remote
## 1420            United States           Senior       Full-time       Remote
## 1421            United States        Mid-level       Full-time       Remote
## 1422            United States        Mid-level       Full-time       Remote
## 1423           United Kingdom        Mid-level       Full-time    In-person
## 1424           United Kingdom        Mid-level       Full-time    In-person
## 1425            United States           Senior       Full-time       Remote
## 1426            United States           Senior       Full-time       Remote
## 1427            United States           Senior       Full-time    In-person
## 1428            United States           Senior       Full-time    In-person
## 1429            United States        Mid-level       Full-time       Remote
## 1430            United States        Mid-level       Full-time       Remote
## 1431            United States           Senior       Full-time    In-person
## 1432            United States           Senior       Full-time    In-person
## 1433            United States        Mid-level       Full-time       Remote
## 1434            United States        Mid-level       Full-time       Remote
## 1435            United States        Mid-level       Full-time       Remote
## 1436            United States        Mid-level       Full-time       Remote
## 1437            United States           Senior       Full-time       Remote
## 1438            United States           Senior       Full-time       Remote
## 1439            United States           Senior       Full-time       Remote
## 1440            United States           Senior       Full-time       Remote
## 1441            United States           Senior       Full-time    In-person
## 1442            United States           Senior       Full-time    In-person
## 1443            United States           Senior       Full-time    In-person
## 1444            United States           Senior       Full-time    In-person
## 1445            United States           Senior       Full-time    In-person
## 1446            United States           Senior       Full-time    In-person
## 1447            United States           Senior       Full-time    In-person
## 1448            United States           Senior       Full-time    In-person
## 1449            United States           Senior       Full-time    In-person
## 1450            United States           Senior       Full-time    In-person
## 1451           United Kingdom        Mid-level       Full-time    In-person
## 1452           United Kingdom        Mid-level       Full-time    In-person
## 1453            United States           Senior       Full-time    In-person
## 1454            United States           Senior       Full-time    In-person
## 1455            United States           Senior       Full-time       Remote
## 1456            United States           Senior       Full-time       Remote
## 1457            United States           Senior       Full-time    In-person
## 1458            United States           Senior       Full-time    In-person
## 1459            United States           Senior       Full-time    In-person
## 1460            United States           Senior       Full-time    In-person
## 1461            United States           Senior       Full-time    In-person
## 1462            United States           Senior       Full-time    In-person
## 1463                   Canada           Senior       Full-time    In-person
## 1464                   Canada           Senior       Full-time    In-person
## 1465            United States           Senior       Full-time    In-person
## 1466            United States           Senior       Full-time    In-person
## 1467            United States           Senior       Full-time    In-person
## 1468            United States           Senior       Full-time    In-person
## 1469                   Greece      Entry-level       Full-time       Remote
## 1470            United States        Mid-level       Full-time       Remote
## 1471            United States        Mid-level       Full-time       Remote
## 1472            United States        Mid-level       Full-time    In-person
## 1473            United States        Mid-level       Full-time    In-person
## 1474                 Colombia        Mid-level       Full-time    In-person
## 1475                 Colombia        Mid-level       Full-time    In-person
## 1476            United States      Entry-level       Full-time    In-person
## 1477            United States      Entry-level       Full-time    In-person
## 1478            United States           Senior       Full-time       Remote
## 1479            United States           Senior       Full-time       Remote
## 1480            United States           Senior       Full-time       Remote
## 1481            United States           Senior       Full-time       Remote
## 1482            United States           Senior       Full-time    In-person
## 1483            United States           Senior       Full-time    In-person
## 1484            United States           Senior       Full-time    In-person
## 1485            United States           Senior       Full-time    In-person
## 1486            United States           Senior       Full-time    In-person
## 1487            United States           Senior       Full-time    In-person
## 1488            United States           Senior       Full-time    In-person
## 1489            United States           Senior       Full-time    In-person
## 1490            United States           Senior       Full-time    In-person
## 1491            United States           Senior       Full-time    In-person
## 1492            United States           Senior       Full-time    In-person
## 1493            United States           Senior       Full-time    In-person
## 1494            United States           Senior       Full-time    In-person
## 1495            United States           Senior       Full-time    In-person
## 1496            United States           Senior       Full-time    In-person
## 1497            United States           Senior       Full-time    In-person
## 1498            United States        Executive       Full-time    In-person
## 1499            United States        Executive       Full-time    In-person
## 1500            United States        Mid-level       Full-time    In-person
## 1501            United States        Mid-level       Full-time    In-person
## 1502            United States        Mid-level       Full-time       Remote
## 1503            United States        Mid-level       Full-time       Remote
## 1504           United Kingdom        Mid-level       Full-time    In-person
## 1505           United Kingdom        Mid-level       Full-time    In-person
## 1506            United States        Mid-level       Full-time    In-person
## 1507            United States        Mid-level       Full-time    In-person
## 1508            United States           Senior       Full-time       Remote
## 1509            United States           Senior       Full-time       Remote
## 1510           United Kingdom        Mid-level       Full-time    In-person
## 1511           United Kingdom        Mid-level       Full-time    In-person
## 1512            United States           Senior       Full-time    In-person
## 1513            United States           Senior       Full-time    In-person
## 1514            United States           Senior       Full-time       Remote
## 1515            United States           Senior       Full-time       Remote
## 1516            United States           Senior       Full-time       Remote
## 1517            United States           Senior       Full-time       Remote
## 1518            United States        Mid-level       Full-time       Remote
## 1519            United States        Mid-level       Full-time       Remote
## 1520            United States           Senior       Full-time    In-person
## 1521            United States           Senior       Full-time    In-person
## 1522            United States           Senior       Full-time    In-person
## 1523            United States           Senior       Full-time    In-person
## 1524            United States           Senior       Full-time    In-person
## 1525            United States           Senior       Full-time    In-person
## 1526            United States           Senior       Full-time    In-person
## 1527            United States           Senior       Full-time    In-person
## 1528            United States        Executive       Full-time    In-person
## 1529            United States        Executive       Full-time    In-person
## 1530            United States           Senior       Full-time    In-person
## 1531            United States           Senior       Full-time    In-person
## 1532            United States      Entry-level       Full-time    In-person
## 1533            United States      Entry-level       Full-time    In-person
## 1534            United States           Senior       Full-time       Remote
## 1535            United States           Senior       Full-time       Remote
## 1536            United States           Senior       Full-time       Remote
## 1537            United States           Senior       Full-time       Remote
## 1538            United States        Mid-level       Full-time    In-person
## 1539            United States        Mid-level       Full-time    In-person
## 1540            United States           Senior       Full-time    In-person
## 1541            United States           Senior       Full-time    In-person
## 1542            United States        Mid-level       Full-time    In-person
## 1543            United States        Mid-level       Full-time    In-person
## 1544            United States           Senior       Full-time       Remote
## 1545            United States           Senior       Full-time       Remote
## 1546            United States           Senior       Full-time    In-person
## 1547            United States           Senior       Full-time    In-person
## 1548            United States           Senior       Full-time    In-person
## 1549            United States           Senior       Full-time    In-person
## 1550            United States           Senior       Full-time    In-person
## 1551            United States           Senior       Full-time    In-person
## 1552            United States           Senior       Full-time       Remote
## 1553            United States           Senior       Full-time       Remote
## 1554            United States           Senior       Full-time    In-person
## 1555            United States           Senior       Full-time    In-person
## 1556            United States           Senior       Full-time    In-person
## 1557            United States           Senior       Full-time    In-person
## 1558            United States           Senior       Full-time       Remote
## 1559            United States           Senior       Full-time       Remote
## 1560            United States           Senior       Full-time    In-person
## 1561            United States           Senior       Full-time    In-person
## 1562            United States           Senior       Full-time    In-person
## 1563            United States           Senior       Full-time    In-person
## 1564            United States           Senior       Full-time       Remote
## 1565            United States           Senior       Full-time       Remote
## 1566            United States        Mid-level       Full-time    In-person
## 1567            United States        Mid-level       Full-time    In-person
## 1568            United States           Senior       Full-time       Remote
## 1569            United States           Senior       Full-time       Remote
## 1570            United States           Senior       Full-time       Remote
## 1571            United States           Senior       Full-time       Remote
## 1572            United States           Senior       Full-time    In-person
## 1573            United States           Senior       Full-time    In-person
## 1574            United States           Senior       Full-time    In-person
## 1575            United States           Senior       Full-time    In-person
## 1576            United States           Senior       Full-time    In-person
## 1577            United States           Senior       Full-time    In-person
## 1578            United States           Senior       Full-time       Remote
## 1579            United States           Senior       Full-time       Remote
## 1580            United States           Senior       Full-time       Remote
## 1581            United States           Senior       Full-time       Remote
## 1582            United States           Senior       Full-time       Remote
## 1583            United States           Senior       Full-time       Remote
## 1584            United States           Senior       Full-time    In-person
## 1585            United States           Senior       Full-time    In-person
## 1586            United States           Senior       Full-time       Remote
## 1587            United States           Senior       Full-time       Remote
## 1588            United States           Senior       Full-time       Remote
## 1589            United States           Senior       Full-time       Remote
## 1590            United States           Senior       Full-time    In-person
## 1591            United States           Senior       Full-time    In-person
## 1592            United States           Senior       Full-time    In-person
## 1593            United States           Senior       Full-time    In-person
## 1594            United States           Senior       Full-time    In-person
## 1595            United States           Senior       Full-time    In-person
## 1596            United States           Senior       Full-time       Remote
## 1597            United States           Senior       Full-time       Remote
## 1598            United States           Senior       Full-time    In-person
## 1599            United States           Senior       Full-time    In-person
## 1600            United States           Senior       Full-time    In-person
## 1601            United States           Senior       Full-time    In-person
## 1602            United States      Entry-level       Full-time    In-person
## 1603                 Portugal        Mid-level       Full-time       Remote
## 1604                 Portugal        Mid-level       Full-time       Remote
## 1605            United States      Entry-level       Full-time    In-person
## 1606            United States      Entry-level       Full-time    In-person
## 1607            United States        Mid-level       Full-time    In-person
## 1608            United States        Mid-level       Full-time    In-person
## 1609            United States           Senior       Full-time       Remote
## 1610            United States           Senior       Full-time       Remote
## 1611            United States           Senior       Full-time    In-person
## 1612            United States           Senior       Full-time    In-person
## 1613            United States           Senior       Full-time       Remote
## 1614            United States           Senior       Full-time       Remote
## 1615            United States           Senior       Full-time    In-person
## 1616            United States           Senior       Full-time    In-person
## 1617            United States           Senior       Full-time    In-person
## 1618            United States           Senior       Full-time    In-person
## 1619            United States        Mid-level       Full-time    In-person
## 1620            United States        Mid-level       Full-time    In-person
## 1621            United States           Senior       Full-time       Remote
## 1622            United States           Senior       Full-time       Remote
## 1623            United States           Senior       Full-time       Remote
## 1624            United States           Senior       Full-time       Remote
## 1625            United States           Senior       Full-time    In-person
## 1626            United States           Senior       Full-time    In-person
## 1627            United States           Senior       Full-time    In-person
## 1628            United States           Senior       Full-time    In-person
## 1629            United States        Mid-level       Full-time    In-person
## 1630            United States        Mid-level       Full-time    In-person
## 1631            United States      Entry-level       Full-time       Remote
## 1632            United States      Entry-level       Full-time       Remote
## 1633            United States           Senior       Full-time       Remote
## 1634            United States           Senior       Full-time       Remote
## 1635            United States        Mid-level       Full-time    In-person
## 1636            United States        Mid-level       Full-time    In-person
## 1637            United States        Mid-level       Full-time       Remote
## 1638            United States        Mid-level       Full-time       Remote
## 1639            United States           Senior       Full-time       Remote
## 1640            United States           Senior       Full-time       Remote
## 1641            United States           Senior       Full-time       Remote
## 1642            United States           Senior       Full-time       Remote
## 1643            United States           Senior       Full-time    In-person
## 1644            United States           Senior       Full-time    In-person
## 1645            United States           Senior       Full-time    In-person
## 1646            United States           Senior       Full-time    In-person
## 1647            United States           Senior       Full-time    In-person
## 1648            United States           Senior       Full-time    In-person
## 1649            United States           Senior       Full-time       Remote
## 1650            United States           Senior       Full-time       Remote
## 1651            United States           Senior       Full-time    In-person
## 1652            United States           Senior       Full-time    In-person
## 1653            United States        Mid-level       Full-time    In-person
## 1654            United States        Mid-level       Full-time    In-person
## 1655            United States           Senior       Full-time    In-person
## 1656            United States           Senior       Full-time    In-person
## 1657            United States        Executive       Full-time    In-person
## 1658            United States        Executive       Full-time    In-person
## 1659            United States           Senior       Full-time    In-person
## 1660            United States           Senior       Full-time    In-person
## 1661           United Kingdom        Mid-level       Full-time    In-person
## 1662           United Kingdom        Mid-level       Full-time    In-person
## 1663            United States           Senior       Full-time    In-person
## 1664            United States           Senior       Full-time    In-person
## 1665            United States           Senior       Full-time       Remote
## 1666            United States           Senior       Full-time       Remote
## 1667            United States           Senior       Full-time       Remote
## 1668            United States           Senior       Full-time       Remote
## 1669                  Ukraine           Senior       Full-time       Remote
## 1670                  Ukraine           Senior       Full-time       Remote
## 1671            United States           Senior       Full-time       Remote
## 1672            United States           Senior       Full-time       Remote
## 1673            United States           Senior       Full-time    In-person
## 1674            United States           Senior       Full-time    In-person
## 1675            United States           Senior       Full-time       Remote
## 1676            United States           Senior       Full-time       Remote
## 1677            United States           Senior       Full-time       Remote
## 1678            United States           Senior       Full-time       Remote
## 1679            United States           Senior       Full-time    In-person
## 1680            United States           Senior       Full-time    In-person
## 1681            United States           Senior       Full-time    In-person
## 1682            United States           Senior       Full-time    In-person
## 1683            United States           Senior       Full-time    In-person
## 1684            United States           Senior       Full-time    In-person
## 1685            United States           Senior       Full-time       Remote
## 1686            United States           Senior       Full-time       Remote
## 1687            United States           Senior       Full-time       Remote
## 1688            United States           Senior       Full-time       Remote
## 1689            United States           Senior       Full-time       Remote
## 1690            United States           Senior       Full-time       Remote
## 1691            United States           Senior       Full-time       Remote
## 1692            United States           Senior       Full-time       Remote
## 1693            United States           Senior       Full-time       Remote
## 1694            United States           Senior       Full-time       Remote
## 1695            United States        Mid-level       Full-time    In-person
## 1696            United States        Mid-level       Full-time    In-person
## 1697            United States        Mid-level       Full-time    In-person
## 1698            United States        Mid-level       Full-time    In-person
## 1699            United States        Mid-level       Full-time    In-person
## 1700            United States        Mid-level       Full-time    In-person
## 1701            United States        Mid-level       Full-time       Remote
## 1702            United States        Mid-level       Full-time       Remote
## 1703            United States        Mid-level       Full-time       Remote
## 1704            United States        Mid-level       Full-time       Remote
## 1705            United States           Senior       Full-time    In-person
## 1706            United States           Senior       Full-time    In-person
## 1707            United States           Senior       Full-time    In-person
## 1708            United States           Senior       Full-time    In-person
## 1709           United Kingdom        Mid-level       Full-time       Remote
## 1710           United Kingdom        Mid-level       Full-time       Remote
## 1711            United States           Senior       Full-time       Remote
## 1712            United States           Senior       Full-time       Remote
## 1713            United States        Mid-level       Full-time    In-person
## 1714            United States        Mid-level       Full-time    In-person
## 1715            United States           Senior       Full-time       Remote
## 1716            United States           Senior       Full-time       Remote
## 1717            United States      Entry-level       Full-time    In-person
## 1718            United States      Entry-level       Full-time    In-person
## 1719            United States        Executive       Full-time    In-person
## 1720            United States        Executive       Full-time    In-person
## 1721            United States           Senior       Full-time    In-person
## 1722            United States           Senior       Full-time    In-person
## 1723            United States           Senior       Full-time    In-person
## 1724            United States           Senior       Full-time    In-person
## 1725            United States           Senior       Full-time    In-person
## 1726            United States           Senior       Full-time    In-person
## 1727            United States           Senior       Full-time    In-person
## 1728            United States           Senior       Full-time    In-person
## 1729            United States           Senior       Full-time       Remote
## 1730            United States           Senior       Full-time       Remote
## 1731            United States           Senior       Full-time       Remote
## 1732            United States           Senior       Full-time       Remote
## 1733            United States           Senior       Full-time    In-person
## 1734            United States           Senior       Full-time    In-person
## 1735            United States        Executive       Full-time    In-person
## 1736            United States        Executive       Full-time    In-person
## 1737                   France        Mid-level       Full-time       Hybrid
## 1738            United States        Mid-level       Full-time    In-person
## 1739            United States        Mid-level       Full-time    In-person
## 1740            United States           Senior       Full-time       Remote
## 1741            United States           Senior       Full-time       Remote
## 1742            United States           Senior       Full-time    In-person
## 1743            United States           Senior       Full-time    In-person
## 1744            United States           Senior       Full-time    In-person
## 1745            United States           Senior       Full-time    In-person
## 1746            United States           Senior       Full-time    In-person
## 1747            United States           Senior       Full-time    In-person
## 1748            United States        Mid-level       Full-time       Remote
## 1749            United States        Mid-level       Full-time       Remote
## 1750            United States           Senior       Full-time    In-person
## 1751            United States           Senior       Full-time    In-person
## 1752            United States           Senior       Full-time    In-person
## 1753            United States           Senior       Full-time    In-person
## 1754            United States           Senior       Full-time    In-person
## 1755            United States           Senior       Full-time    In-person
## 1756            United States           Senior       Full-time    In-person
## 1757            United States           Senior       Full-time    In-person
## 1758            United States           Senior       Full-time       Remote
## 1759            United States           Senior       Full-time       Remote
## 1760            United States           Senior       Full-time    In-person
## 1761            United States           Senior       Full-time    In-person
## 1762            United States           Senior       Full-time    In-person
## 1763            United States           Senior       Full-time    In-person
## 1764            United States           Senior       Full-time       Remote
## 1765            United States           Senior       Full-time       Remote
## 1766            United States           Senior       Full-time    In-person
## 1767            United States           Senior       Full-time    In-person
## 1768            United States           Senior       Full-time    In-person
## 1769            United States           Senior       Full-time    In-person
## 1770            United States           Senior       Full-time    In-person
## 1771            United States           Senior       Full-time    In-person
## 1772            United States           Senior       Full-time       Remote
## 1773            United States           Senior       Full-time       Remote
## 1774            United States           Senior       Full-time    In-person
## 1775            United States           Senior       Full-time    In-person
## 1776            United States           Senior       Full-time       Remote
## 1777            United States           Senior       Full-time       Remote
## 1778            United States           Senior       Full-time    In-person
## 1779            United States           Senior       Full-time    In-person
## 1780            United States        Executive       Full-time       Remote
## 1781            United States        Executive       Full-time       Remote
## 1782            United States           Senior       Full-time    In-person
## 1783            United States           Senior       Full-time    In-person
## 1784            United States           Senior       Full-time    In-person
## 1785            United States           Senior       Full-time    In-person
## 1786            United States           Senior       Full-time    In-person
## 1787            United States           Senior       Full-time    In-person
## 1788            United States           Senior       Full-time    In-person
## 1789            United States           Senior       Full-time    In-person
## 1790            United States           Senior       Full-time    In-person
## 1791            United States           Senior       Full-time    In-person
## 1792            United States           Senior       Full-time    In-person
## 1793            United States           Senior       Full-time    In-person
## 1794            United States           Senior       Full-time    In-person
## 1795            United States           Senior       Full-time    In-person
## 1796            United States           Senior       Full-time    In-person
## 1797            United States           Senior       Full-time    In-person
## 1798            United States           Senior       Full-time    In-person
## 1799            United States           Senior       Full-time    In-person
## 1800            United States        Mid-level       Full-time    In-person
## 1801            United States        Mid-level       Full-time    In-person
## 1802            United States           Senior       Full-time    In-person
## 1803            United States           Senior       Full-time    In-person
## 1804            United States           Senior       Full-time    In-person
## 1805            United States           Senior       Full-time    In-person
## 1806            United States        Mid-level       Full-time    In-person
## 1807            United States        Mid-level       Full-time    In-person
## 1808            United States           Senior       Full-time    In-person
## 1809            United States           Senior       Full-time    In-person
## 1810            United States           Senior       Full-time    In-person
## 1811            United States           Senior       Full-time    In-person
## 1812            United States           Senior       Full-time    In-person
## 1813            United States           Senior       Full-time    In-person
## 1814                   Canada        Mid-level       Full-time    In-person
## 1815                   Canada        Mid-level       Full-time    In-person
## 1816            United States           Senior       Full-time    In-person
## 1817            United States           Senior       Full-time    In-person
## 1818            United States        Executive       Full-time    In-person
## 1819            United States        Executive       Full-time    In-person
## 1820            United States           Senior       Full-time       Remote
## 1821            United States           Senior       Full-time       Remote
## 1822            United States           Senior       Full-time       Remote
## 1823            United States           Senior       Full-time       Remote
## 1824            United States           Senior       Full-time    In-person
## 1825            United States           Senior       Full-time    In-person
## 1826            United States           Senior       Full-time       Remote
## 1827            United States           Senior       Full-time       Remote
## 1828                   Canada        Mid-level       Full-time       Remote
## 1829            United States           Senior       Full-time    In-person
## 1830            United States           Senior       Full-time    In-person
## 1831                 Portugal        Mid-level       Full-time       Remote
## 1832                 Portugal        Mid-level       Full-time       Remote
## 1833            United States           Senior       Full-time       Remote
## 1834            United States           Senior       Full-time       Remote
## 1835            United States           Senior       Full-time    In-person
## 1836            United States           Senior       Full-time    In-person
## 1837            United States           Senior       Full-time       Remote
## 1838            United States           Senior       Full-time       Remote
## 1839            United States           Senior       Full-time       Remote
## 1840            United States           Senior       Full-time       Remote
## 1841            United States           Senior       Full-time    In-person
## 1842            United States           Senior       Full-time    In-person
## 1843            United States           Senior       Full-time       Remote
## 1844            United States           Senior       Full-time       Remote
## 1845            United States           Senior       Full-time    In-person
## 1846            United States           Senior       Full-time    In-person
## 1847            United States           Senior       Full-time       Remote
## 1848            United States           Senior       Full-time       Remote
## 1849            United States        Mid-level       Full-time    In-person
## 1850            United States        Mid-level       Full-time    In-person
## 1851            United States        Mid-level       Full-time    In-person
## 1852            United States        Mid-level       Full-time    In-person
## 1853            United States        Mid-level       Full-time    In-person
## 1854            United States        Mid-level       Full-time    In-person
## 1855            United States           Senior       Full-time    In-person
## 1856            United States           Senior       Full-time    In-person
## 1857            United States           Senior       Full-time    In-person
## 1858            United States           Senior       Full-time    In-person
## 1859            United States           Senior       Full-time    In-person
## 1860            United States           Senior       Full-time    In-person
## 1861            United States           Senior       Full-time    In-person
## 1862            United States           Senior       Full-time    In-person
## 1863            United States           Senior       Full-time    In-person
## 1864            United States           Senior       Full-time    In-person
## 1865            United States           Senior       Full-time    In-person
## 1866            United States           Senior       Full-time    In-person
## 1867            United States           Senior       Full-time    In-person
## 1868            United States           Senior       Full-time    In-person
## 1869            United States           Senior       Full-time    In-person
## 1870            United States           Senior       Full-time    In-person
## 1871            United States           Senior       Full-time    In-person
## 1872            United States           Senior       Full-time    In-person
## 1873            United States           Senior       Full-time    In-person
## 1874            United States           Senior       Full-time    In-person
## 1875            United States           Senior       Full-time       Remote
## 1876            United States           Senior       Full-time       Remote
## 1877            United States           Senior       Full-time    In-person
## 1878            United States           Senior       Full-time    In-person
## 1879            United States           Senior       Full-time    In-person
## 1880            United States           Senior       Full-time    In-person
## 1881            United States           Senior       Full-time    In-person
## 1882            United States           Senior       Full-time    In-person
## 1883            United States           Senior       Full-time       Remote
## 1884            United States           Senior       Full-time       Remote
## 1885            United States           Senior       Full-time       Remote
## 1886            United States           Senior       Full-time       Remote
## 1887            United States           Senior       Full-time    In-person
## 1888            United States           Senior       Full-time    In-person
## 1889            United States           Senior       Full-time    In-person
## 1890            United States           Senior       Full-time    In-person
## 1891            United States           Senior       Full-time    In-person
## 1892            United States           Senior       Full-time    In-person
## 1893            United States           Senior       Full-time    In-person
## 1894            United States           Senior       Full-time    In-person
## 1895            United States           Senior       Full-time    In-person
## 1896            United States           Senior       Full-time    In-person
## 1897            United States           Senior       Full-time    In-person
## 1898            United States           Senior       Full-time    In-person
## 1899                   Canada           Senior       Full-time       Remote
## 1900                   Canada           Senior       Full-time       Remote
## 1901            United States           Senior       Full-time    In-person
## 1902            United States           Senior       Full-time    In-person
## 1903            United States           Senior       Full-time       Remote
## 1904            United States           Senior       Full-time       Remote
## 1905            United States        Mid-level       Full-time    In-person
## 1906            United States        Mid-level       Full-time    In-person
## 1907            United States           Senior       Full-time    In-person
## 1908            United States           Senior       Full-time    In-person
## 1909            United States           Senior       Full-time       Remote
## 1910            United States           Senior       Full-time       Remote
## 1911            United States           Senior       Full-time       Remote
## 1912            United States           Senior       Full-time       Remote
## 1913            United States           Senior       Full-time    In-person
## 1914            United States           Senior       Full-time    In-person
## 1915            United States           Senior       Full-time    In-person
## 1916            United States           Senior       Full-time    In-person
## 1917            United States           Senior       Full-time       Remote
## 1918            United States           Senior       Full-time       Remote
## 1919            United States           Senior       Full-time       Remote
## 1920            United States           Senior       Full-time       Remote
## 1921            United States           Senior       Full-time    In-person
## 1922            United States           Senior       Full-time    In-person
## 1923            United States           Senior       Full-time    In-person
## 1924            United States           Senior       Full-time    In-person
## 1925            United States           Senior       Full-time    In-person
## 1926            United States           Senior       Full-time    In-person
## 1927            United States        Mid-level       Full-time    In-person
## 1928            United States        Mid-level       Full-time    In-person
## 1929            United States      Entry-level       Full-time    In-person
## 1930            United States      Entry-level       Full-time    In-person
## 1931           United Kingdom           Senior       Full-time    In-person
## 1932           United Kingdom           Senior       Full-time    In-person
## 1933           United Kingdom        Mid-level       Full-time    In-person
## 1934           United Kingdom        Mid-level       Full-time    In-person
## 1935            United States           Senior       Full-time       Remote
## 1936            United States           Senior       Full-time       Remote
## 1937            United States           Senior       Full-time    In-person
## 1938            United States           Senior       Full-time    In-person
## 1939            United States           Senior       Full-time       Remote
## 1940            United States           Senior       Full-time       Remote
## 1941            United States           Senior       Full-time    In-person
## 1942            United States           Senior       Full-time    In-person
## 1943            United States           Senior       Full-time    In-person
## 1944            United States           Senior       Full-time    In-person
## 1945              Netherlands        Mid-level       Full-time    In-person
## 1946                    India      Entry-level       Full-time       Hybrid
## 1947           United Kingdom        Mid-level       Full-time    In-person
## 1948           United Kingdom        Mid-level       Full-time    In-person
## 1949            United States        Executive       Full-time       Remote
## 1950            United States        Executive       Full-time       Remote
## 1951            United States        Mid-level       Full-time    In-person
## 1952            United States        Mid-level       Full-time    In-person
## 1953           United Kingdom        Mid-level       Full-time    In-person
## 1954           United Kingdom        Mid-level       Full-time    In-person
## 1955            United States           Senior       Full-time    In-person
## 1956            United States           Senior       Full-time    In-person
## 1957            United States           Senior       Full-time    In-person
## 1958            United States           Senior       Full-time    In-person
## 1959            United States           Senior       Full-time    In-person
## 1960            United States           Senior       Full-time    In-person
## 1961            United States           Senior       Full-time    In-person
## 1962            United States           Senior       Full-time    In-person
## 1963            United States           Senior       Full-time    In-person
## 1964            United States           Senior       Full-time    In-person
## 1965            United States           Senior       Full-time       Remote
## 1966            United States           Senior       Full-time       Remote
## 1967            United States           Senior       Full-time    In-person
## 1968            United States           Senior       Full-time    In-person
## 1969            United States           Senior       Full-time    In-person
## 1970            United States           Senior       Full-time    In-person
## 1971            United States           Senior       Full-time    In-person
## 1972            United States           Senior       Full-time    In-person
## 1973            United States           Senior       Full-time       Remote
## 1974            United States           Senior       Full-time       Remote
## 1975            United States        Mid-level       Full-time    In-person
## 1976            United States        Mid-level       Full-time    In-person
## 1977            United States           Senior       Full-time    In-person
## 1978            United States           Senior       Full-time    In-person
## 1979            United States      Entry-level       Full-time    In-person
## 1980            United States      Entry-level       Full-time    In-person
## 1981            United States           Senior       Full-time    In-person
## 1982            United States           Senior       Full-time    In-person
## 1983            United States           Senior       Full-time    In-person
## 1984            United States           Senior       Full-time    In-person
## 1985            United States        Mid-level       Full-time    In-person
## 1986            United States        Mid-level       Full-time    In-person
## 1987            United States           Senior       Full-time    In-person
## 1988            United States           Senior       Full-time    In-person
## 1989            United States           Senior       Full-time    In-person
## 1990            United States           Senior       Full-time    In-person
## 1991            United States           Senior       Full-time       Remote
## 1992            United States           Senior       Full-time       Remote
## 1993            United States           Senior       Full-time       Remote
## 1994            United States           Senior       Full-time       Remote
## 1995            United States           Senior       Full-time    In-person
## 1996            United States           Senior       Full-time    In-person
## 1997            United States           Senior       Full-time    In-person
## 1998            United States           Senior       Full-time    In-person
## 1999            United States           Senior       Full-time       Remote
## 2000            United States           Senior       Full-time       Remote
## 2001            United States           Senior       Full-time       Remote
## 2002            United States           Senior       Full-time       Remote
## 2003            United States           Senior       Full-time       Remote
## 2004            United States           Senior       Full-time       Remote
## 2005            United States           Senior       Full-time    In-person
## 2006            United States           Senior       Full-time    In-person
## 2007                    Spain           Senior       Full-time    In-person
## 2008                    Spain           Senior       Full-time    In-person
## 2009            United States        Mid-level       Full-time    In-person
## 2010            United States        Mid-level       Full-time    In-person
## 2011                   Latvia        Mid-level       Full-time    In-person
## 2012                   Latvia        Mid-level       Full-time    In-person
## 2013            United States           Senior       Full-time    In-person
## 2014            United States           Senior       Full-time    In-person
## 2015            United States        Mid-level       Full-time    In-person
## 2016            United States        Mid-level       Full-time    In-person
## 2017            United States           Senior       Full-time    In-person
## 2018            United States           Senior       Full-time    In-person
## 2019            United States        Mid-level       Full-time       Remote
## 2020            United States        Mid-level       Full-time       Remote
## 2021            United States           Senior       Full-time       Remote
## 2022            United States           Senior       Full-time       Remote
## 2023            United States           Senior       Full-time    In-person
## 2024            United States           Senior       Full-time    In-person
## 2025            United States           Senior       Full-time    In-person
## 2026            United States           Senior       Full-time    In-person
## 2027            United States           Senior       Full-time    In-person
## 2028            United States           Senior       Full-time    In-person
## 2029            United States        Mid-level       Full-time    In-person
## 2030            United States        Mid-level       Full-time    In-person
## 2031           United Kingdom           Senior       Full-time       Remote
## 2032           United Kingdom           Senior       Full-time       Remote
## 2033            United States           Senior       Full-time       Remote
## 2034            United States           Senior       Full-time       Remote
## 2035            United States           Senior       Full-time    In-person
## 2036            United States           Senior       Full-time    In-person
## 2037            United States        Mid-level       Full-time       Remote
## 2038            United States        Mid-level       Full-time       Remote
## 2039            United States           Senior       Full-time    In-person
## 2040            United States           Senior       Full-time    In-person
## 2041            United States           Senior       Full-time    In-person
## 2042            United States           Senior       Full-time    In-person
## 2043            United States           Senior       Full-time       Remote
## 2044            United States           Senior       Full-time       Remote
## 2045            United States        Executive       Full-time    In-person
## 2046            United States        Executive       Full-time    In-person
## 2047            United States           Senior       Full-time    In-person
## 2048            United States           Senior       Full-time    In-person
## 2049            United States        Mid-level       Full-time    In-person
## 2050            United States        Mid-level       Full-time    In-person
## 2051            United States           Senior       Full-time    In-person
## 2052            United States           Senior       Full-time    In-person
## 2053            United States      Entry-level       Full-time    In-person
## 2054            United States      Entry-level       Full-time    In-person
## 2055            United States           Senior       Full-time    In-person
## 2056            United States           Senior       Full-time    In-person
## 2057            United States      Entry-level       Full-time       Remote
## 2058                    Italy        Mid-level       Full-time       Remote
## 2059            United States        Mid-level       Full-time    In-person
## 2060            United States        Mid-level       Full-time    In-person
## 2061            United States           Senior       Full-time    In-person
## 2062            United States           Senior       Full-time    In-person
## 2063            United States           Senior       Full-time    In-person
## 2064            United States           Senior       Full-time    In-person
## 2065            United States           Senior       Full-time    In-person
## 2066            United States           Senior       Full-time    In-person
## 2067            United States           Senior       Full-time    In-person
## 2068            United States           Senior       Full-time    In-person
## 2069            United States           Senior       Full-time    In-person
## 2070            United States           Senior       Full-time    In-person
## 2071            United States           Senior       Full-time    In-person
## 2072            United States           Senior       Full-time    In-person
## 2073            United States           Senior       Full-time    In-person
## 2074            United States           Senior       Full-time    In-person
## 2075            United States           Senior       Full-time    In-person
## 2076            United States           Senior       Full-time    In-person
## 2077            United States           Senior       Full-time    In-person
## 2078            United States           Senior       Full-time    In-person
## 2079            United States           Senior       Full-time    In-person
## 2080            United States           Senior       Full-time    In-person
## 2081            United States        Mid-level       Full-time    In-person
## 2082            United States        Mid-level       Full-time    In-person
## 2083            United States        Mid-level       Full-time       Remote
## 2084            United States        Mid-level       Full-time       Remote
## 2085            United States           Senior       Full-time    In-person
## 2086            United States           Senior       Full-time    In-person
## 2087                Mauritius      Entry-level       Full-time    In-person
## 2088            United States           Senior       Full-time    In-person
## 2089            United States           Senior       Full-time    In-person
## 2090            United States           Senior       Full-time    In-person
## 2091            United States           Senior       Full-time    In-person
## 2092            United States           Senior       Full-time       Remote
## 2093            United States           Senior       Full-time       Remote
## 2094                   Canada           Senior       Full-time       Remote
## 2095                   Canada           Senior       Full-time       Remote
## 2096            United States           Senior       Full-time       Remote
## 2097            United States           Senior       Full-time       Remote
## 2098           United Kingdom           Senior       Full-time       Remote
## 2099           United Kingdom           Senior       Full-time       Remote
## 2100            United States           Senior       Full-time       Remote
## 2101            United States           Senior       Full-time       Remote
## 2102            United States           Senior       Full-time    In-person
## 2103            United States           Senior       Full-time    In-person
## 2104            United States           Senior       Full-time       Remote
## 2105            United States           Senior       Full-time       Remote
## 2106           United Kingdom           Senior       Full-time    In-person
## 2107           United Kingdom           Senior       Full-time    In-person
## 2108            United States        Mid-level       Full-time       Remote
## 2109            United States        Mid-level       Full-time       Remote
## 2110            United States           Senior       Full-time       Remote
## 2111            United States           Senior       Full-time       Remote
## 2112            United States        Mid-level       Full-time    In-person
## 2113            United States        Mid-level       Full-time    In-person
## 2114            United States           Senior       Full-time    In-person
## 2115            United States           Senior       Full-time    In-person
## 2116            United States           Senior       Full-time       Remote
## 2117            United States           Senior       Full-time       Remote
## 2118            United States           Senior       Full-time       Remote
## 2119            United States           Senior       Full-time       Remote
## 2120            United States           Senior       Full-time    In-person
## 2121            United States           Senior       Full-time    In-person
## 2122            United States        Executive       Full-time    In-person
## 2123            United States        Executive       Full-time    In-person
## 2124            United States           Senior       Full-time    In-person
## 2125            United States           Senior       Full-time    In-person
## 2126                   Canada           Senior       Full-time       Remote
## 2127                   Canada           Senior       Full-time       Remote
## 2128            United States           Senior       Full-time    In-person
## 2129            United States           Senior       Full-time    In-person
## 2130            United States        Mid-level       Full-time    In-person
## 2131            United States        Mid-level       Full-time    In-person
## 2132            United States        Mid-level       Full-time       Remote
## 2133            United States        Mid-level       Full-time       Remote
## 2134            United States           Senior       Full-time    In-person
## 2135            United States           Senior       Full-time    In-person
## 2136                  Germany        Mid-level       Full-time       Hybrid
## 2137            United States        Mid-level       Full-time    In-person
## 2138            United States        Mid-level       Full-time    In-person
## 2139            United States           Senior       Full-time       Remote
## 2140            United States           Senior       Full-time       Remote
## 2141            United States        Mid-level       Full-time    In-person
## 2142            United States        Mid-level       Full-time    In-person
## 2143            United States           Senior       Full-time    In-person
## 2144            United States           Senior       Full-time    In-person
## 2145            United States           Senior       Full-time    In-person
## 2146            United States           Senior       Full-time    In-person
## 2147            United States           Senior       Full-time    In-person
## 2148            United States           Senior       Full-time    In-person
## 2149            United States           Senior       Full-time    In-person
## 2150            United States           Senior       Full-time    In-person
## 2151            United States           Senior       Full-time    In-person
## 2152            United States           Senior       Full-time    In-person
## 2153            United States           Senior       Full-time    In-person
## 2154            United States           Senior       Full-time    In-person
## 2155            United States        Mid-level       Full-time    In-person
## 2156            United States        Mid-level       Full-time    In-person
## 2157            United States           Senior       Full-time       Remote
## 2158            United States           Senior       Full-time       Remote
## 2159            United States           Senior       Full-time    In-person
## 2160            United States           Senior       Full-time    In-person
## 2161            United States           Senior       Full-time    In-person
## 2162            United States           Senior       Full-time    In-person
## 2163            United States           Senior       Full-time    In-person
## 2164            United States           Senior       Full-time    In-person
## 2165            United States           Senior       Full-time       Remote
## 2166            United States           Senior       Full-time       Remote
## 2167            United States        Mid-level       Full-time    In-person
## 2168            United States        Mid-level       Full-time    In-person
## 2169            United States        Executive       Full-time       Remote
## 2170            United States        Executive       Full-time       Remote
## 2171            United States           Senior       Full-time       Remote
## 2172            United States           Senior       Full-time       Remote
## 2173            United States           Senior       Full-time       Remote
## 2174            United States           Senior       Full-time       Remote
## 2175            United States           Senior       Full-time       Remote
## 2176            United States           Senior       Full-time       Remote
## 2177            United States           Senior       Full-time    In-person
## 2178            United States           Senior       Full-time    In-person
## 2179            United States           Senior       Full-time       Remote
## 2180            United States           Senior       Full-time       Remote
## 2181            United States           Senior       Full-time    In-person
## 2182            United States           Senior       Full-time    In-person
## 2183            United States           Senior       Full-time       Remote
## 2184            United States           Senior       Full-time       Remote
## 2185            United States           Senior       Full-time       Remote
## 2186            United States           Senior       Full-time       Remote
## 2187            United States           Senior       Full-time    In-person
## 2188            United States           Senior       Full-time    In-person
## 2189            United States           Senior       Full-time    In-person
## 2190            United States           Senior       Full-time    In-person
## 2191            United States        Mid-level       Full-time       Remote
## 2192            United States        Mid-level       Full-time       Remote
## 2193            United States           Senior       Full-time    In-person
## 2194            United States           Senior       Full-time    In-person
## 2195            United States           Senior       Full-time    In-person
## 2196            United States           Senior       Full-time    In-person
## 2197            United States           Senior       Full-time       Remote
## 2198            United States           Senior       Full-time       Remote
## 2199            United States           Senior       Full-time       Remote
## 2200            United States           Senior       Full-time       Remote
## 2201            United States           Senior       Full-time       Remote
## 2202            United States           Senior       Full-time       Remote
## 2203            United States        Mid-level       Full-time    In-person
## 2204            United States        Mid-level       Full-time    In-person
## 2205            United States           Senior       Full-time       Remote
## 2206            United States           Senior       Full-time       Remote
## 2207                   Poland        Mid-level       Full-time       Remote
## 2208            United States        Mid-level       Full-time    In-person
## 2209            United States        Mid-level       Full-time    In-person
## 2210            United States        Mid-level       Full-time    In-person
## 2211            United States        Mid-level       Full-time    In-person
## 2212            United States           Senior       Full-time    In-person
## 2213            United States           Senior       Full-time    In-person
## 2214            United States           Senior       Full-time    In-person
## 2215            United States           Senior       Full-time    In-person
## 2216            United States           Senior       Full-time       Remote
## 2217            United States           Senior       Full-time       Remote
## 2218            United States        Mid-level       Full-time    In-person
## 2219            United States        Mid-level       Full-time    In-person
## 2220            United States        Mid-level       Full-time    In-person
## 2221            United States        Mid-level       Full-time    In-person
## 2222            United States           Senior       Full-time       Remote
## 2223            United States           Senior       Full-time       Remote
## 2224            United States        Mid-level       Full-time    In-person
## 2225            United States        Mid-level       Full-time    In-person
## 2226            United States        Mid-level       Full-time    In-person
## 2227            United States        Mid-level       Full-time    In-person
## 2228            United States           Senior       Full-time    In-person
## 2229            United States           Senior       Full-time    In-person
## 2230            United States           Senior       Full-time    In-person
## 2231            United States           Senior       Full-time    In-person
## 2232            United States           Senior       Full-time       Remote
## 2233            United States           Senior       Full-time       Remote
## 2234            United States           Senior       Full-time       Remote
## 2235            United States           Senior       Full-time       Remote
## 2236            United States           Senior       Full-time    In-person
## 2237            United States           Senior       Full-time    In-person
## 2238            United States           Senior       Full-time    In-person
## 2239            United States           Senior       Full-time    In-person
## 2240            United States           Senior       Full-time       Remote
## 2241            United States           Senior       Full-time       Remote
## 2242            United States           Senior       Full-time       Remote
## 2243            United States           Senior       Full-time       Remote
## 2244                   Canada           Senior       Full-time    In-person
## 2245                   Canada           Senior       Full-time    In-person
## 2246            United States           Senior       Full-time    In-person
## 2247            United States           Senior       Full-time    In-person
## 2248            United States           Senior       Full-time    In-person
## 2249            United States           Senior       Full-time    In-person
## 2250            United States           Senior       Full-time    In-person
## 2251            United States           Senior       Full-time    In-person
## 2252            United States           Senior       Full-time       Remote
## 2253            United States           Senior       Full-time       Remote
## 2254            United States           Senior       Full-time       Remote
## 2255            United States           Senior       Full-time       Remote
## 2256            United States           Senior       Full-time       Remote
## 2257            United States           Senior       Full-time       Remote
## 2258            United States        Mid-level       Full-time       Remote
## 2259            United States        Mid-level       Full-time       Remote
## 2260            United States           Senior       Full-time       Remote
## 2261            United States           Senior       Full-time       Remote
## 2262            United States        Mid-level       Full-time    In-person
## 2263            United States        Mid-level       Full-time    In-person
## 2264            United States           Senior       Full-time       Remote
## 2265            United States           Senior       Full-time       Remote
## 2266            United States           Senior       Full-time    In-person
## 2267            United States           Senior       Full-time    In-person
## 2268            United States           Senior       Full-time       Remote
## 2269            United States           Senior       Full-time       Remote
## 2270            United States           Senior       Full-time       Remote
## 2271            United States           Senior       Full-time    In-person
## 2272            United States           Senior       Full-time    In-person
## 2273                  Armenia        Mid-level       Full-time       Remote
## 2274            United States           Senior       Full-time    In-person
## 2275            United States           Senior       Full-time    In-person
## 2276            United States           Senior       Full-time    In-person
## 2277            United States           Senior       Full-time    In-person
## 2278            United States           Senior       Full-time    In-person
## 2279            United States           Senior       Full-time    In-person
## 2280            United States        Mid-level       Full-time       Remote
## 2281            United States        Mid-level       Full-time       Remote
## 2282            United States           Senior       Full-time    In-person
## 2283            United States           Senior       Full-time    In-person
## 2284            United States        Executive       Full-time    In-person
## 2285            United States        Executive       Full-time    In-person
## 2286            United States           Senior       Full-time    In-person
## 2287            United States           Senior       Full-time    In-person
## 2288            United States           Senior       Full-time    In-person
## 2289            United States           Senior       Full-time    In-person
## 2290                   Canada      Entry-level        Contract       Hybrid
## 2291                  Croatia      Entry-level       Full-time       Remote
## 2292                    Italy           Senior       Full-time       Remote
## 2293            United States           Senior       Full-time    In-person
## 2294            United States           Senior       Full-time    In-person
## 2295                   Canada           Senior       Full-time    In-person
## 2296                   Canada           Senior       Full-time    In-person
## 2297            United States           Senior       Full-time    In-person
## 2298            United States           Senior       Full-time    In-person
## 2299            United States           Senior       Full-time    In-person
## 2300            United States           Senior       Full-time    In-person
## 2301            United States           Senior       Full-time    In-person
## 2302            United States           Senior       Full-time    In-person
## 2303            United States           Senior       Full-time    In-person
## 2304            United States           Senior       Full-time    In-person
## 2305           United Kingdom           Senior       Full-time    In-person
## 2306           United Kingdom           Senior       Full-time    In-person
## 2307                 Colombia        Mid-level       Full-time    In-person
## 2308                 Colombia        Mid-level       Full-time    In-person
## 2309            United States           Senior       Full-time       Remote
## 2310            United States           Senior       Full-time       Remote
## 2311            United States           Senior       Full-time    In-person
## 2312            United States           Senior       Full-time    In-person
## 2313            United States           Senior       Full-time    In-person
## 2314            United States           Senior       Full-time    In-person
## 2315            United States      Entry-level       Full-time       Remote
## 2316           United Kingdom           Senior       Full-time    In-person
## 2317           United Kingdom           Senior       Full-time    In-person
## 2318            United States        Mid-level       Full-time    In-person
## 2319            United States        Mid-level       Full-time    In-person
## 2320            United States        Mid-level       Full-time    In-person
## 2321            United States        Mid-level       Full-time    In-person
## 2322            United States        Mid-level       Full-time    In-person
## 2323            United States        Mid-level       Full-time    In-person
## 2324            United States           Senior       Full-time    In-person
## 2325            United States           Senior       Full-time    In-person
## 2326            United States           Senior       Full-time    In-person
## 2327            United States           Senior       Full-time    In-person
## 2328                   Canada           Senior       Full-time       Remote
## 2329                   Canada           Senior       Full-time       Remote
## 2330            United States           Senior       Full-time    In-person
## 2331            United States           Senior       Full-time    In-person
## 2332            United States           Senior       Full-time       Remote
## 2333            United States           Senior       Full-time       Remote
## 2334            United States        Mid-level       Full-time    In-person
## 2335            United States        Mid-level       Full-time    In-person
## 2336            United States           Senior       Full-time    In-person
## 2337            United States           Senior       Full-time    In-person
## 2338            United States           Senior       Full-time    In-person
## 2339            United States           Senior       Full-time    In-person
## 2340            United States           Senior       Full-time       Remote
## 2341            United States           Senior       Full-time       Remote
## 2342            United States           Senior       Full-time    In-person
## 2343            United States           Senior       Full-time    In-person
## 2344            United States           Senior       Full-time       Remote
## 2345            United States           Senior       Full-time       Remote
## 2346            United States           Senior       Full-time    In-person
## 2347            United States           Senior       Full-time    In-person
## 2348            United States        Mid-level       Full-time       Remote
## 2349            United States        Mid-level       Full-time       Remote
## 2350            United States           Senior       Full-time    In-person
## 2351            United States           Senior       Full-time    In-person
## 2352            United States           Senior       Full-time    In-person
## 2353            United States           Senior       Full-time    In-person
## 2354            United States           Senior       Full-time       Remote
## 2355            United States           Senior       Full-time       Remote
## 2356            United States           Senior       Full-time    In-person
## 2357            United States           Senior       Full-time    In-person
## 2358            United States        Mid-level       Full-time       Remote
## 2359            United States        Mid-level       Full-time       Remote
## 2360                   Canada        Mid-level       Full-time    In-person
## 2361                   Canada        Mid-level       Full-time    In-person
## 2362            United States           Senior       Full-time    In-person
## 2363            United States           Senior       Full-time    In-person
## 2364            United States        Mid-level       Full-time    In-person
## 2365            United States        Mid-level       Full-time    In-person
## 2366           United Kingdom        Mid-level       Full-time       Remote
## 2367           United Kingdom        Mid-level       Full-time       Remote
## 2368            United States           Senior       Full-time       Remote
## 2369            United States           Senior       Full-time       Remote
## 2370            United States           Senior       Full-time    In-person
## 2371            United States           Senior       Full-time    In-person
## 2372            United States           Senior       Full-time    In-person
## 2373            United States           Senior       Full-time    In-person
## 2374            United States        Mid-level       Full-time    In-person
## 2375            United States        Mid-level       Full-time    In-person
## 2376            United States           Senior       Full-time    In-person
## 2377            United States           Senior       Full-time    In-person
## 2378            United States           Senior       Full-time       Remote
## 2379            United States           Senior       Full-time       Remote
## 2380           United Kingdom           Senior       Full-time    In-person
## 2381           United Kingdom           Senior       Full-time    In-person
## 2382            United States           Senior       Full-time       Remote
## 2383            United States           Senior       Full-time       Remote
## 2384                 Thailand           Senior       Full-time       Remote
## 2385              South Korea        Mid-level       Full-time    In-person
## 2386            United States           Senior       Full-time       Remote
## 2387            United States           Senior       Full-time       Remote
## 2388            United States           Senior       Full-time    In-person
## 2389            United States           Senior       Full-time    In-person
## 2390            United States           Senior       Full-time    In-person
## 2391            United States           Senior       Full-time    In-person
## 2392           United Kingdom        Mid-level       Full-time    In-person
## 2393           United Kingdom        Mid-level       Full-time    In-person
## 2394            United States           Senior       Full-time    In-person
## 2395            United States           Senior       Full-time    In-person
## 2396           United Kingdom        Mid-level       Full-time    In-person
## 2397            United States        Executive       Full-time    In-person
## 2398            United States        Executive       Full-time    In-person
## 2399            United States        Mid-level       Full-time    In-person
## 2400            United States        Mid-level       Full-time    In-person
## 2401            United States           Senior       Full-time       Remote
## 2402            United States           Senior       Full-time       Remote
## 2403            United States           Senior       Full-time    In-person
## 2404            United States           Senior       Full-time    In-person
## 2405            United States           Senior       Full-time    In-person
## 2406            United States           Senior       Full-time    In-person
## 2407            United States           Senior       Full-time    In-person
## 2408            United States           Senior       Full-time    In-person
## 2409            United States        Mid-level       Full-time       Remote
## 2410            United States        Mid-level       Full-time       Remote
## 2411            United States        Mid-level       Full-time       Remote
## 2412            United States        Mid-level       Full-time       Remote
## 2413            United States           Senior       Full-time    In-person
## 2414            United States           Senior       Full-time    In-person
## 2415            United States        Mid-level       Full-time    In-person
## 2416            United States        Mid-level       Full-time    In-person
## 2417            United States        Mid-level       Full-time       Remote
## 2418            United States        Mid-level       Full-time       Remote
## 2419            United States           Senior       Full-time    In-person
## 2420            United States           Senior       Full-time    In-person
## 2421            United States        Executive       Full-time       Remote
## 2422            United States        Executive       Full-time       Remote
## 2423            United States           Senior       Full-time    In-person
## 2424            United States           Senior       Full-time    In-person
## 2425            United States           Senior       Full-time    In-person
## 2426            United States           Senior       Full-time    In-person
## 2427            United States        Mid-level       Full-time    In-person
## 2428            United States        Mid-level       Full-time    In-person
## 2429            United States        Mid-level       Full-time       Remote
## 2430            United States        Mid-level       Full-time       Remote
## 2431            United States           Senior       Full-time    In-person
## 2432            United States           Senior       Full-time    In-person
## 2433                   Canada           Senior       Full-time    In-person
## 2434                   Canada           Senior       Full-time    In-person
## 2435            United States        Mid-level       Full-time    In-person
## 2436            United States        Mid-level       Full-time    In-person
## 2437            United States        Mid-level       Full-time    In-person
## 2438            United States        Mid-level       Full-time    In-person
## 2439            United States           Senior       Full-time    In-person
## 2440            United States           Senior       Full-time    In-person
## 2441            United States           Senior       Full-time       Remote
## 2442            United States           Senior       Full-time       Remote
## 2443            United States           Senior       Full-time       Remote
## 2444            United States           Senior       Full-time       Remote
## 2445            United States           Senior       Full-time    In-person
## 2446            United States           Senior       Full-time    In-person
## 2447            United States           Senior       Full-time       Remote
## 2448            United States           Senior       Full-time       Remote
## 2449            United States           Senior       Full-time    In-person
## 2450            United States           Senior       Full-time    In-person
## 2451            United States           Senior       Full-time    In-person
## 2452            United States           Senior       Full-time    In-person
## 2453           United Kingdom        Mid-level       Full-time    In-person
## 2454           United Kingdom        Mid-level       Full-time    In-person
## 2455            United States        Executive       Full-time    In-person
## 2456            United States        Executive       Full-time    In-person
## 2457            United States           Senior       Full-time    In-person
## 2458            United States           Senior       Full-time    In-person
## 2459           United Kingdom        Executive       Full-time    In-person
## 2460           United Kingdom        Executive       Full-time    In-person
## 2461            United States           Senior       Full-time    In-person
## 2462            United States           Senior       Full-time    In-person
## 2463                  Estonia        Mid-level       Full-time    In-person
## 2464                  Estonia        Mid-level       Full-time    In-person
## 2465            United States           Senior       Full-time    In-person
## 2466            United States           Senior       Full-time    In-person
## 2467            United States           Senior       Full-time    In-person
## 2468            United States           Senior       Full-time    In-person
## 2469            United States           Senior       Full-time    In-person
## 2470            United States           Senior       Full-time    In-person
## 2471            United States           Senior       Full-time    In-person
## 2472            United States           Senior       Full-time    In-person
## 2473            United States           Senior       Full-time    In-person
## 2474            United States           Senior       Full-time    In-person
## 2475            United States           Senior       Full-time    In-person
## 2476            United States           Senior       Full-time    In-person
## 2477            United States           Senior       Full-time    In-person
## 2478            United States           Senior       Full-time    In-person
## 2479            United States        Mid-level       Full-time       Remote
## 2480            United States        Mid-level       Full-time       Remote
## 2481            United States           Senior       Full-time    In-person
## 2482            United States           Senior       Full-time    In-person
## 2483            United States           Senior       Full-time    In-person
## 2484            United States           Senior       Full-time    In-person
## 2485            United States           Senior       Full-time    In-person
## 2486            United States           Senior       Full-time    In-person
## 2487            United States           Senior       Full-time    In-person
## 2488            United States           Senior       Full-time    In-person
## 2489            United States           Senior       Full-time    In-person
## 2490            United States           Senior       Full-time    In-person
## 2491            United States           Senior       Full-time    In-person
## 2492            United States           Senior       Full-time    In-person
## 2493            United States           Senior       Full-time    In-person
## 2494            United States           Senior       Full-time    In-person
## 2495            United States           Senior       Full-time    In-person
## 2496            United States           Senior       Full-time    In-person
## 2497            United States           Senior       Full-time       Remote
## 2498            United States           Senior       Full-time       Remote
## 2499            United States        Mid-level       Full-time       Remote
## 2500            United States        Mid-level       Full-time       Remote
## 2501            United States      Entry-level       Full-time    In-person
## 2502            United States      Entry-level       Full-time    In-person
## 2503            United States           Senior       Full-time       Remote
## 2504            United States           Senior       Full-time       Remote
## 2505            United States           Senior       Full-time    In-person
## 2506            United States           Senior       Full-time    In-person
## 2507                   Turkey      Entry-level       Full-time    In-person
## 2508            United States           Senior       Full-time    In-person
## 2509            United States           Senior       Full-time    In-person
## 2510            United States        Executive       Full-time       Remote
## 2511            United States        Executive       Full-time       Remote
## 2512            United States           Senior       Full-time    In-person
## 2513            United States           Senior       Full-time    In-person
## 2514            United States           Senior       Full-time    In-person
## 2515            United States           Senior       Full-time    In-person
## 2516            United States           Senior       Full-time    In-person
## 2517            United States           Senior       Full-time    In-person
## 2518            United States           Senior       Full-time    In-person
## 2519            United States           Senior       Full-time    In-person
## 2520            United States           Senior       Full-time    In-person
## 2521            United States           Senior       Full-time    In-person
## 2522            United States           Senior       Full-time    In-person
## 2523            United States           Senior       Full-time    In-person
## 2524            United States           Senior       Full-time    In-person
## 2525            United States           Senior       Full-time    In-person
## 2526            United States        Mid-level       Full-time    In-person
## 2527            United States        Mid-level       Full-time    In-person
## 2528            United States           Senior       Full-time       Remote
## 2529            United States           Senior       Full-time       Remote
## 2530            United States           Senior       Full-time    In-person
## 2531            United States           Senior       Full-time    In-person
## 2532            United States           Senior       Full-time    In-person
## 2533            United States           Senior       Full-time    In-person
## 2534            United States        Mid-level       Full-time       Remote
## 2535            United States        Mid-level       Full-time       Remote
## 2536            United States           Senior       Full-time    In-person
## 2537            United States           Senior       Full-time    In-person
## 2538            United States        Mid-level       Full-time    In-person
## 2539            United States        Mid-level       Full-time    In-person
## 2540            United States           Senior       Full-time    In-person
## 2541            United States           Senior       Full-time    In-person
## 2542            United States           Senior       Full-time       Remote
## 2543            United States           Senior       Full-time       Remote
## 2544            United States           Senior       Full-time    In-person
## 2545            United States           Senior       Full-time    In-person
## 2546            United States           Senior       Full-time       Remote
## 2547            United States           Senior       Full-time       Remote
## 2548           United Kingdom        Mid-level       Full-time       Remote
## 2549           United Kingdom        Mid-level       Full-time       Remote
## 2550            United States           Senior       Full-time    In-person
## 2551            United States           Senior       Full-time    In-person
## 2552            United States           Senior       Full-time    In-person
## 2553            United States           Senior       Full-time    In-person
## 2554            United States        Mid-level       Full-time       Remote
## 2555            United States        Mid-level       Full-time       Remote
## 2556            United States        Mid-level       Full-time    In-person
## 2557            United States        Mid-level       Full-time    In-person
## 2558            United States           Senior       Full-time    In-person
## 2559            United States           Senior       Full-time    In-person
## 2560            United States           Senior       Full-time       Remote
## 2561            United States           Senior       Full-time       Remote
## 2562            United States           Senior       Full-time    In-person
## 2563            United States           Senior       Full-time    In-person
## 2564            United States        Mid-level       Full-time    In-person
## 2565            United States        Mid-level       Full-time    In-person
## 2566            United States           Senior       Full-time    In-person
## 2567            United States           Senior       Full-time    In-person
## 2568            United States        Mid-level       Full-time    In-person
## 2569            United States        Mid-level       Full-time    In-person
## 2570            United States        Mid-level       Full-time    In-person
## 2571            United States        Mid-level       Full-time    In-person
## 2572           United Kingdom           Senior       Full-time    In-person
## 2573           United Kingdom           Senior       Full-time    In-person
## 2574            United States           Senior       Full-time       Remote
## 2575            United States           Senior       Full-time       Remote
## 2576            United States           Senior       Full-time    In-person
## 2577            United States           Senior       Full-time    In-person
## 2578            United States           Senior       Full-time    In-person
## 2579            United States           Senior       Full-time    In-person
## 2580            United States           Senior       Full-time    In-person
## 2581            United States           Senior       Full-time    In-person
## 2582            United States           Senior       Full-time    In-person
## 2583            United States           Senior       Full-time    In-person
## 2584            United States           Senior       Full-time    In-person
## 2585            United States           Senior       Full-time    In-person
## 2586            United States           Senior       Full-time    In-person
## 2587            United States           Senior       Full-time    In-person
## 2588            United States        Mid-level       Full-time    In-person
## 2589            United States        Mid-level       Full-time    In-person
## 2590            United States           Senior       Full-time       Remote
## 2591            United States           Senior       Full-time       Remote
## 2592            United States           Senior       Full-time       Remote
## 2593            United States           Senior       Full-time       Remote
## 2594            United States           Senior       Full-time       Remote
## 2595            United States           Senior       Full-time       Remote
## 2596            United States           Senior       Full-time       Remote
## 2597            United States           Senior       Full-time       Remote
## 2598            United States           Senior       Full-time       Remote
## 2599            United States           Senior       Full-time       Remote
## 2600            United States           Senior       Full-time    In-person
## 2601            United States           Senior       Full-time    In-person
## 2602            United States           Senior       Full-time       Remote
## 2603            United States        Mid-level       Full-time    In-person
## 2604            United States        Mid-level       Full-time    In-person
## 2605           United Kingdom        Executive       Full-time    In-person
## 2606           United Kingdom        Executive       Full-time    In-person
## 2607            United States           Senior       Full-time       Remote
## 2608            United States           Senior       Full-time       Remote
## 2609           United Kingdom        Mid-level       Full-time       Remote
## 2610           United Kingdom        Mid-level       Full-time       Remote
## 2611            United States        Mid-level       Full-time    In-person
## 2612            United States        Mid-level       Full-time    In-person
## 2613           United Kingdom        Mid-level       Full-time    In-person
## 2614           United Kingdom        Mid-level       Full-time    In-person
## 2615            United States           Senior       Full-time       Remote
## 2616            United States           Senior       Full-time       Remote
## 2617            United States        Mid-level       Full-time    In-person
## 2618            United States        Mid-level       Full-time    In-person
## 2619            United States           Senior       Full-time    In-person
## 2620            United States           Senior       Full-time    In-person
## 2621            United States           Senior       Full-time    In-person
## 2622            United States           Senior       Full-time    In-person
## 2623            United States        Executive       Full-time       Remote
## 2624            United States        Executive       Full-time       Remote
## 2625            United States           Senior       Full-time    In-person
## 2626            United States           Senior       Full-time    In-person
## 2627            United States           Senior       Full-time       Remote
## 2628            United States           Senior       Full-time       Remote
## 2629            United States        Mid-level       Full-time    In-person
## 2630            United States        Mid-level       Full-time    In-person
## 2631            United States           Senior       Full-time    In-person
## 2632            United States           Senior       Full-time    In-person
## 2633           United Kingdom           Senior       Full-time    In-person
## 2634           United Kingdom           Senior       Full-time    In-person
## 2635           United Kingdom           Senior       Full-time    In-person
## 2636           United Kingdom           Senior       Full-time    In-person
## 2637            United States        Mid-level       Full-time       Remote
## 2638            United States        Mid-level       Full-time       Remote
## 2639            United States           Senior       Full-time       Remote
## 2640            United States           Senior       Full-time       Remote
## 2641            United States           Senior       Full-time    In-person
## 2642            United States           Senior       Full-time    In-person
## 2643            United States           Senior       Full-time    In-person
## 2644            United States           Senior       Full-time    In-person
## 2645            United States           Senior       Full-time       Remote
## 2646            United States           Senior       Full-time       Remote
## 2647            United States        Mid-level       Full-time       Remote
## 2648            United States        Mid-level       Full-time    In-person
## 2649            United States        Mid-level       Full-time    In-person
## 2650            United States           Senior       Full-time    In-person
## 2651            United States           Senior       Full-time    In-person
## 2652            United States           Senior       Full-time       Remote
## 2653            United States           Senior       Full-time       Remote
## 2654            United States           Senior       Full-time    In-person
## 2655            United States           Senior       Full-time    In-person
## 2656            United States        Mid-level       Full-time    In-person
## 2657            United States        Mid-level       Full-time    In-person
## 2658            United States        Mid-level       Full-time    In-person
## 2659            United States        Mid-level       Full-time    In-person
## 2660            United States           Senior       Full-time       Remote
## 2661            United States           Senior       Full-time       Remote
## 2662                    Spain           Senior       Full-time    In-person
## 2663                    Spain           Senior       Full-time    In-person
## 2664            United States           Senior       Full-time    In-person
## 2665            United States           Senior       Full-time    In-person
## 2666            United States           Senior       Full-time    In-person
## 2667            United States           Senior       Full-time    In-person
## 2668            United States           Senior       Full-time       Remote
## 2669            United States           Senior       Full-time       Remote
## 2670            United States           Senior       Full-time    In-person
## 2671            United States           Senior       Full-time    In-person
## 2672            United States           Senior       Full-time    In-person
## 2673            United States           Senior       Full-time    In-person
## 2674            United States           Senior       Full-time    In-person
## 2675            United States           Senior       Full-time    In-person
## 2676            United States           Senior       Full-time    In-person
## 2677            United States           Senior       Full-time    In-person
## 2678                   Canada           Senior       Full-time       Remote
## 2679                   Canada           Senior       Full-time       Remote
## 2680            United States           Senior       Full-time    In-person
## 2681            United States           Senior       Full-time    In-person
## 2682           United Kingdom        Mid-level       Full-time    In-person
## 2683           United Kingdom        Mid-level       Full-time    In-person
## 2684                    Italy      Entry-level       Full-time       Hybrid
## 2685            United States           Senior       Full-time       Remote
## 2686            United States           Senior       Full-time       Remote
## 2687            United States           Senior       Full-time    In-person
## 2688            United States           Senior       Full-time    In-person
## 2689            United States           Senior       Full-time    In-person
## 2690            United States           Senior       Full-time    In-person
## 2691            United States           Senior       Full-time       Remote
## 2692            United States           Senior       Full-time       Remote
## 2693            United States           Senior       Full-time       Remote
## 2694            United States           Senior       Full-time       Remote
## 2695            United States           Senior       Full-time       Remote
## 2696            United States           Senior       Full-time       Remote
## 2697            United States           Senior       Full-time    In-person
## 2698            United States           Senior       Full-time    In-person
## 2699            United States           Senior       Full-time       Remote
## 2700            United States           Senior       Full-time       Remote
## 2701            United States        Mid-level       Full-time    In-person
## 2702            United States        Mid-level       Full-time    In-person
## 2703            United States           Senior       Full-time    In-person
## 2704            United States           Senior       Full-time    In-person
## 2705            United States           Senior       Full-time       Remote
## 2706            United States           Senior       Full-time       Remote
## 2707            United States           Senior       Full-time    In-person
## 2708            United States           Senior       Full-time    In-person
## 2709            United States        Mid-level       Full-time    In-person
## 2710                   Canada           Senior       Full-time       Remote
## 2711            United States           Senior       Full-time       Remote
## 2712            United States           Senior       Full-time       Remote
## 2713            United States        Mid-level       Full-time    In-person
## 2714            United States        Mid-level       Full-time    In-person
## 2715                   Canada           Senior       Full-time       Remote
## 2716                   Canada           Senior       Full-time       Remote
## 2717            United States           Senior       Full-time    In-person
## 2718            United States           Senior       Full-time    In-person
## 2719            United States           Senior       Full-time    In-person
## 2720            United States           Senior       Full-time    In-person
## 2721            United States           Senior       Full-time       Remote
## 2722            United States           Senior       Full-time       Remote
## 2723            United States           Senior       Full-time    In-person
## 2724            United States           Senior       Full-time    In-person
## 2725            United States           Senior       Full-time    In-person
## 2726            United States           Senior       Full-time    In-person
## 2727            United States           Senior       Full-time       Remote
## 2728            United States           Senior       Full-time       Remote
## 2729            United States           Senior       Full-time    In-person
## 2730            United States           Senior       Full-time    In-person
## 2731            United States           Senior       Full-time    In-person
## 2732            United States           Senior       Full-time    In-person
## 2733            United States           Senior       Full-time    In-person
## 2734            United States           Senior       Full-time    In-person
## 2735              Philippines           Senior       Full-time       Hybrid
## 2736                    Spain        Mid-level       Full-time       Remote
## 2737            United States        Mid-level       Full-time    In-person
## 2738            United States        Mid-level       Full-time    In-person
## 2739            United States        Mid-level       Full-time    In-person
## 2740            United States        Mid-level       Full-time    In-person
## 2741            United States        Mid-level       Full-time    In-person
## 2742            United States        Mid-level       Full-time    In-person
## 2743            United States        Mid-level       Full-time    In-person
## 2744            United States        Mid-level       Full-time    In-person
## 2745            United States           Senior       Full-time    In-person
## 2746            United States           Senior       Full-time    In-person
## 2747           United Kingdom        Mid-level       Full-time       Remote
## 2748           United Kingdom        Mid-level       Full-time       Remote
## 2749            United States           Senior       Full-time    In-person
## 2750            United States           Senior       Full-time    In-person
## 2751            United States           Senior       Full-time    In-person
## 2752            United States           Senior       Full-time    In-person
## 2753            United States        Mid-level       Full-time    In-person
## 2754            United States        Mid-level       Full-time    In-person
## 2755            United States           Senior       Full-time       Remote
## 2756            United States           Senior       Full-time       Remote
## 2757            United States           Senior       Full-time    In-person
## 2758            United States           Senior       Full-time    In-person
## 2759            United States      Entry-level       Full-time    In-person
## 2760            United States      Entry-level       Full-time    In-person
## 2761            United States           Senior       Full-time       Remote
## 2762            United States           Senior       Full-time       Remote
## 2763            United States           Senior       Full-time       Remote
## 2764            United States           Senior       Full-time       Remote
## 2765            United States           Senior       Full-time    In-person
## 2766            United States           Senior       Full-time    In-person
## 2767            United States           Senior       Full-time    In-person
## 2768            United States           Senior       Full-time    In-person
## 2769            United States           Senior       Full-time       Remote
## 2770            United States           Senior       Full-time       Remote
## 2771            United States           Senior       Full-time    In-person
## 2772            United States           Senior       Full-time    In-person
## 2773            United States        Executive       Full-time       Remote
## 2774            United States        Executive       Full-time       Remote
## 2775            United States           Senior       Full-time    In-person
## 2776            United States           Senior       Full-time    In-person
## 2777            United States           Senior       Full-time    In-person
## 2778            United States           Senior       Full-time    In-person
## 2779            United States           Senior       Full-time       Remote
## 2780            United States           Senior       Full-time       Remote
## 2781            United States           Senior       Full-time       Remote
## 2782            United States           Senior       Full-time       Remote
## 2783            United States           Senior       Full-time    In-person
## 2784            United States           Senior       Full-time    In-person
## 2785            United States           Senior       Full-time    In-person
## 2786            United States           Senior       Full-time    In-person
## 2787            United States           Senior       Full-time    In-person
## 2788            United States           Senior       Full-time    In-person
## 2789            United States           Senior       Full-time    In-person
## 2790            United States           Senior       Full-time    In-person
## 2791            United States           Senior       Full-time    In-person
## 2792            United States           Senior       Full-time    In-person
## 2793            United States           Senior       Full-time    In-person
## 2794            United States           Senior       Full-time    In-person
## 2795            United States           Senior       Full-time       Remote
## 2796            United States           Senior       Full-time       Remote
## 2797            United States           Senior       Full-time       Remote
## 2798            United States           Senior       Full-time       Remote
## 2799            United States        Mid-level       Full-time    In-person
## 2800            United States        Mid-level       Full-time    In-person
## 2801            United States           Senior       Full-time    In-person
## 2802            United States           Senior       Full-time    In-person
## 2803            United States           Senior       Full-time    In-person
## 2804            United States           Senior       Full-time    In-person
## 2805            United States           Senior       Full-time       Remote
## 2806            United States           Senior       Full-time       Remote
## 2807            United States           Senior       Full-time       Remote
## 2808            United States           Senior       Full-time       Remote
## 2809            United States           Senior       Full-time       Remote
## 2810            United States           Senior       Full-time       Remote
## 2811            United States           Senior       Full-time    In-person
## 2812            United States           Senior       Full-time    In-person
## 2813            United States           Senior       Full-time       Remote
## 2814            United States           Senior       Full-time       Remote
## 2815                    Spain        Mid-level       Full-time       Remote
## 2816            United States        Mid-level       Full-time       Remote
## 2817            United States           Senior       Full-time    In-person
## 2818            United States           Senior       Full-time    In-person
## 2819            United States        Mid-level       Full-time    In-person
## 2820            United States        Mid-level       Full-time    In-person
## 2821                  Estonia        Mid-level       Full-time    In-person
## 2822                  Estonia        Mid-level       Full-time    In-person
## 2823            United States           Senior       Full-time    In-person
## 2824            United States           Senior       Full-time    In-person
## 2825            United States        Mid-level       Full-time    In-person
## 2826            United States        Mid-level       Full-time    In-person
## 2827            United States        Executive       Full-time       Remote
## 2828            United States        Executive       Full-time       Remote
## 2829            United States           Senior       Full-time    In-person
## 2830            United States           Senior       Full-time    In-person
## 2831            United States           Senior       Full-time       Remote
## 2832            United States           Senior       Full-time       Remote
## 2833                    Spain           Senior       Full-time       Remote
## 2834            United States           Senior       Full-time    In-person
## 2835            United States           Senior       Full-time    In-person
## 2836            United States           Senior       Full-time    In-person
## 2837            United States           Senior       Full-time    In-person
## 2838            United States           Senior       Full-time    In-person
## 2839            United States           Senior       Full-time    In-person
## 2840            United States           Senior       Full-time    In-person
## 2841            United States           Senior       Full-time    In-person
## 2842            United States           Senior       Full-time    In-person
## 2843            United States           Senior       Full-time    In-person
## 2844            United States        Mid-level       Full-time       Remote
## 2845            United States        Mid-level       Full-time       Remote
## 2846            United States        Mid-level       Full-time    In-person
## 2847            United States        Mid-level       Full-time    In-person
## 2848            United States           Senior       Full-time       Remote
## 2849            United States           Senior       Full-time       Remote
## 2850            United States           Senior       Full-time    In-person
## 2851            United States           Senior       Full-time    In-person
## 2852            United States           Senior       Full-time    In-person
## 2853            United States           Senior       Full-time    In-person
## 2854            United States           Senior       Full-time       Remote
## 2855            United States           Senior       Full-time       Remote
## 2856            United States           Senior       Full-time    In-person
## 2857            United States           Senior       Full-time    In-person
## 2858                   Canada      Entry-level       Full-time       Hybrid
## 2859            United States           Senior       Full-time       Remote
## 2860            United States           Senior       Full-time       Remote
## 2861            United States           Senior       Full-time    In-person
## 2862            United States           Senior       Full-time    In-person
## 2863            United States      Entry-level       Full-time       Remote
## 2864            United States      Entry-level       Full-time       Remote
## 2865            United States        Mid-level       Full-time    In-person
## 2866            United States        Mid-level       Full-time    In-person
## 2867            United States           Senior       Full-time    In-person
## 2868            United States           Senior       Full-time    In-person
## 2869            United States           Senior       Full-time       Remote
## 2870            United States           Senior       Full-time       Remote
## 2871            United States        Mid-level       Full-time    In-person
## 2872            United States        Mid-level       Full-time    In-person
## 2873            United States           Senior       Full-time       Remote
## 2874            United States           Senior       Full-time       Remote
## 2875            United States           Senior       Full-time       Remote
## 2876            United States           Senior       Full-time       Remote
## 2877            United States        Mid-level       Full-time    In-person
## 2878            United States        Mid-level       Full-time    In-person
## 2879            United States           Senior       Full-time       Remote
## 2880            United States           Senior       Full-time       Remote
## 2881            United States        Mid-level       Full-time    In-person
## 2882            United States        Mid-level       Full-time    In-person
## 2883                  Germany           Senior       Full-time       Hybrid
## 2884            United States        Mid-level       Full-time    In-person
## 2885            United States        Mid-level       Full-time    In-person
## 2886            United States        Mid-level       Full-time    In-person
## 2887            United States        Mid-level       Full-time    In-person
## 2888            United States           Senior       Full-time    In-person
## 2889            United States           Senior       Full-time    In-person
## 2890            United States        Mid-level       Full-time    In-person
## 2891            United States        Mid-level       Full-time    In-person
## 2892            United States           Senior       Full-time    In-person
## 2893            United States           Senior       Full-time    In-person
## 2894            United States           Senior       Full-time    In-person
## 2895            United States           Senior       Full-time    In-person
## 2896            United States        Executive       Full-time       Remote
## 2897            United States        Executive       Full-time       Remote
## 2898            United States           Senior       Full-time    In-person
## 2899            United States           Senior       Full-time    In-person
## 2900            United States           Senior       Full-time    In-person
## 2901            United States           Senior       Full-time    In-person
## 2902            United States        Executive       Full-time       Remote
## 2903            United States        Executive       Full-time       Remote
## 2904            United States           Senior       Full-time    In-person
## 2905            United States           Senior       Full-time    In-person
## 2906            United States        Mid-level       Full-time    In-person
## 2907            United States        Mid-level       Full-time    In-person
## 2908            United States        Mid-level       Full-time    In-person
## 2909            United States        Mid-level       Full-time    In-person
## 2910            United States           Senior       Full-time       Remote
## 2911            United States           Senior       Full-time       Remote
## 2912           United Kingdom        Mid-level       Full-time       Remote
## 2913           United Kingdom        Mid-level       Full-time       Remote
## 2914            United States        Mid-level       Full-time    In-person
## 2915            United States        Mid-level       Full-time    In-person
## 2916            United States           Senior       Full-time    In-person
## 2917            United States           Senior       Full-time    In-person
## 2918                   Brazil        Mid-level       Full-time       Remote
## 2919            United States           Senior       Full-time    In-person
## 2920            United States           Senior       Full-time    In-person
## 2921            United States           Senior       Full-time    In-person
## 2922            United States           Senior       Full-time    In-person
## 2923            United States           Senior       Full-time    In-person
## 2924            United States           Senior       Full-time    In-person
## 2925            United States        Mid-level       Full-time    In-person
## 2926            United States        Mid-level       Full-time    In-person
## 2927            United States           Senior       Full-time    In-person
## 2928            United States           Senior       Full-time    In-person
## 2929            United States           Senior       Full-time       Remote
## 2930            United States           Senior       Full-time       Remote
## 2931            United States        Mid-level       Full-time    In-person
## 2932            United States        Mid-level       Full-time    In-person
## 2933            United States           Senior       Full-time       Remote
## 2934            United States           Senior       Full-time       Remote
## 2935            United States           Senior       Full-time    In-person
## 2936            United States           Senior       Full-time    In-person
## 2937            United States           Senior       Full-time    In-person
## 2938            United States           Senior       Full-time    In-person
## 2939            United States           Senior       Full-time    In-person
## 2940            United States           Senior       Full-time    In-person
## 2941            United States           Senior       Full-time    In-person
## 2942            United States           Senior       Full-time    In-person
## 2943            United States           Senior       Full-time    In-person
## 2944            United States           Senior       Full-time    In-person
## 2945            United States           Senior       Full-time    In-person
## 2946            United States           Senior       Full-time    In-person
## 2947            United States      Entry-level       Full-time       Hybrid
## 2948            United States        Mid-level       Full-time       Remote
## 2949            United States        Mid-level       Full-time       Remote
## 2950                   France        Mid-level       Full-time       Remote
## 2951                   France        Mid-level       Full-time       Remote
## 2952            United States        Mid-level       Full-time    In-person
## 2953            United States        Mid-level       Full-time    In-person
## 2954                    Spain           Senior       Full-time    In-person
## 2955                    Spain           Senior       Full-time    In-person
## 2956            United States           Senior       Full-time    In-person
## 2957            United States           Senior       Full-time    In-person
## 2958            United States           Senior       Full-time       Remote
## 2959            United States           Senior       Full-time       Remote
## 2960                   Canada      Entry-level       Full-time    In-person
## 2961                   Canada      Entry-level       Full-time    In-person
## 2962            United States           Senior       Full-time    In-person
## 2963            United States           Senior       Full-time    In-person
## 2964            United States           Senior       Full-time    In-person
## 2965            United States           Senior       Full-time    In-person
## 2966            United States           Senior       Full-time    In-person
## 2967            United States           Senior       Full-time    In-person
## 2968            United States           Senior       Full-time       Remote
## 2969            United States           Senior       Full-time       Remote
## 2970            United States      Entry-level       Full-time    In-person
## 2971            United States      Entry-level       Full-time    In-person
## 2972                   Brazil           Senior       Full-time       Remote
## 2973                   Brazil           Senior       Full-time       Remote
## 2974            United States           Senior       Full-time    In-person
## 2975            United States           Senior       Full-time    In-person
## 2976            United States           Senior       Full-time    In-person
## 2977            United States           Senior       Full-time    In-person
## 2978            United States           Senior       Full-time       Remote
## 2979            United States           Senior       Full-time       Remote
## 2980            United States           Senior       Full-time    In-person
## 2981            United States           Senior       Full-time    In-person
## 2982            United States           Senior       Full-time    In-person
## 2983            United States           Senior       Full-time    In-person
## 2984            United States           Senior       Full-time    In-person
## 2985            United States           Senior       Full-time    In-person
## 2986            United States           Senior       Full-time       Remote
## 2987            United States           Senior       Full-time       Remote
## 2988            United States           Senior       Full-time    In-person
## 2989            United States           Senior       Full-time    In-person
## 2990            United States           Senior       Full-time    In-person
## 2991            United States           Senior       Full-time    In-person
## 2992            United States           Senior       Full-time    In-person
## 2993            United States           Senior       Full-time    In-person
## 2994           United Kingdom        Mid-level       Full-time    In-person
## 2995           United Kingdom        Mid-level       Full-time    In-person
## 2996            United States           Senior       Full-time    In-person
## 2997            United States           Senior       Full-time    In-person
## 2998            United States           Senior       Full-time    In-person
## 2999            United States           Senior       Full-time    In-person
## 3000            United States           Senior       Full-time    In-person
## 3001            United States           Senior       Full-time    In-person
## 3002            United States           Senior       Full-time    In-person
## 3003            United States           Senior       Full-time    In-person
## 3004            United States        Mid-level       Full-time    In-person
## 3005            United States        Mid-level       Full-time    In-person
## 3006            United States           Senior       Full-time    In-person
## 3007            United States           Senior       Full-time    In-person
## 3008            United States           Senior       Full-time       Remote
## 3009            United States           Senior       Full-time       Remote
## 3010            United States           Senior       Full-time       Remote
## 3011            United States           Senior       Full-time       Remote
## 3012            United States           Senior       Full-time       Remote
## 3013            United States           Senior       Full-time       Remote
## 3014                   Brazil        Executive       Full-time       Remote
## 3015                   Brazil        Executive       Full-time       Remote
## 3016            United States           Senior       Full-time    In-person
## 3017            United States           Senior       Full-time    In-person
## 3018            United States           Senior       Full-time       Remote
## 3019            United States           Senior       Full-time       Remote
## 3020            United States           Senior       Full-time    In-person
## 3021            United States           Senior       Full-time    In-person
## 3022              Philippines        Mid-level        Contract       Remote
## 3023            United States        Executive       Full-time    In-person
## 3024            United States        Executive       Full-time    In-person
## 3025            United States           Senior       Full-time    In-person
## 3026            United States           Senior       Full-time    In-person
## 3027                    Qatar        Mid-level       Full-time       Remote
## 3028            United States           Senior       Full-time    In-person
## 3029            United States           Senior       Full-time    In-person
## 3030            United States           Senior       Full-time    In-person
## 3031            United States           Senior       Full-time    In-person
## 3032            United States        Mid-level       Full-time    In-person
## 3033            United States        Mid-level       Full-time    In-person
## 3034            United States           Senior       Full-time       Remote
## 3035            United States           Senior       Full-time    In-person
## 3036            United States           Senior       Full-time    In-person
## 3037            United States           Senior       Full-time    In-person
## 3038            United States           Senior       Full-time    In-person
## 3039            United States      Entry-level       Full-time       Remote
## 3040            United States      Entry-level       Full-time       Remote
## 3041            United States           Senior       Full-time    In-person
## 3042            United States           Senior       Full-time    In-person
## 3043            United States           Senior       Full-time       Remote
## 3044            United States           Senior       Full-time       Remote
## 3045            United States           Senior       Full-time       Remote
## 3046            United States           Senior       Full-time       Remote
## 3047            United States      Entry-level       Full-time    In-person
## 3048            United States      Entry-level       Full-time    In-person
## 3049                   Canada        Mid-level       Full-time       Remote
## 3050                   Canada        Mid-level       Full-time       Remote
## 3051            United States           Senior       Full-time    In-person
## 3052            United States           Senior       Full-time    In-person
## 3053            United States           Senior       Full-time    In-person
## 3054            United States           Senior       Full-time    In-person
## 3055            United States        Mid-level       Full-time       Remote
## 3056            United States        Mid-level       Full-time       Remote
## 3057            United States           Senior       Full-time       Remote
## 3058            United States           Senior       Full-time       Remote
## 3059            United States           Senior       Full-time       Remote
## 3060            United States           Senior       Full-time       Remote
## 3061            United States           Senior       Full-time       Remote
## 3062            United States           Senior       Full-time       Remote
## 3063            United States           Senior       Full-time    In-person
## 3064            United States           Senior       Full-time    In-person
## 3065            United States        Mid-level       Full-time    In-person
## 3066            United States        Mid-level       Full-time    In-person
## 3067            United States        Mid-level       Full-time       Remote
## 3068            United States        Mid-level       Full-time       Remote
## 3069            United States           Senior       Full-time       Remote
## 3070            United States           Senior       Full-time       Remote
## 3071            United States           Senior       Full-time    In-person
## 3072            United States           Senior       Full-time    In-person
## 3073            United States           Senior       Full-time    In-person
## 3074            United States           Senior       Full-time    In-person
## 3075            United States           Senior       Full-time    In-person
## 3076            United States           Senior       Full-time    In-person
## 3077            United States        Mid-level       Full-time       Remote
## 3078            United States        Mid-level       Full-time       Remote
## 3079            United States        Mid-level       Full-time    In-person
## 3080            United States        Mid-level       Full-time    In-person
## 3081            United States           Senior       Full-time    In-person
## 3082            United States           Senior       Full-time    In-person
## 3083            United States           Senior       Full-time       Remote
## 3084            United States           Senior       Full-time       Remote
## 3085            United States           Senior       Full-time    In-person
## 3086            United States           Senior       Full-time    In-person
## 3087            United States           Senior       Full-time       Remote
## 3088            United States           Senior       Full-time       Remote
## 3089            United States           Senior       Full-time    In-person
## 3090            United States           Senior       Full-time    In-person
## 3091            United States           Senior       Full-time    In-person
## 3092            United States           Senior       Full-time    In-person
## 3093            United States           Senior       Full-time    In-person
## 3094            United States           Senior       Full-time    In-person
## 3095            United States        Mid-level       Full-time       Remote
## 3096            United States        Mid-level       Full-time       Remote
## 3097            United States           Senior       Full-time    In-person
## 3098            United States           Senior       Full-time    In-person
## 3099            United States           Senior       Full-time    In-person
## 3100            United States           Senior       Full-time    In-person
## 3101            United States           Senior       Full-time    In-person
## 3102            United States           Senior       Full-time    In-person
## 3103           United Kingdom        Mid-level       Full-time       Remote
## 3104           United Kingdom        Mid-level       Full-time       Remote
## 3105                   Canada           Senior       Full-time       Remote
## 3106                   Canada           Senior       Full-time       Remote
## 3107            United States           Senior       Full-time       Remote
## 3108            United States           Senior       Full-time       Remote
## 3109                    Italy        Mid-level        Contract       Remote
## 3110                 Portugal      Entry-level       Full-time       Remote
## 3111            United States        Mid-level       Full-time       Remote
## 3112            United States        Mid-level       Full-time       Remote
## 3113            United States           Senior       Full-time       Remote
## 3114            United States           Senior       Full-time       Remote
## 3115            United States           Senior       Full-time    In-person
## 3116            United States           Senior       Full-time    In-person
## 3117            United States        Mid-level       Full-time    In-person
## 3118            United States        Mid-level       Full-time    In-person
## 3119            United States           Senior       Full-time    In-person
## 3120            United States           Senior       Full-time    In-person
## 3121            United States           Senior       Full-time       Remote
## 3122            United States           Senior       Full-time       Remote
## 3123            United States           Senior       Full-time    In-person
## 3124            United States           Senior       Full-time    In-person
## 3125            United States           Senior       Full-time       Remote
## 3126            United States           Senior       Full-time       Remote
## 3127            United States        Mid-level       Full-time    In-person
## 3128            United States        Mid-level       Full-time    In-person
## 3129            United States           Senior       Full-time    In-person
## 3130            United States           Senior       Full-time    In-person
## 3131            United States           Senior       Full-time       Remote
## 3132            United States           Senior       Full-time       Remote
## 3133            United States           Senior       Full-time    In-person
## 3134            United States           Senior       Full-time    In-person
## 3135            United States           Senior       Full-time    In-person
## 3136            United States           Senior       Full-time    In-person
## 3137            United States        Mid-level       Full-time    In-person
## 3138            United States        Mid-level       Full-time    In-person
## 3139            United States           Senior       Full-time    In-person
## 3140            United States           Senior       Full-time    In-person
## 3141            United States           Senior       Full-time    In-person
## 3142            United States           Senior       Full-time    In-person
## 3143                    Italy        Mid-level       Full-time       Remote
## 3144              Netherlands           Senior       Full-time       Hybrid
## 3145            United States           Senior       Full-time       Remote
## 3146            United States           Senior       Full-time       Remote
## 3147            United States           Senior       Full-time    In-person
## 3148            United States           Senior       Full-time    In-person
## 3149            United States           Senior       Full-time    In-person
## 3150            United States           Senior       Full-time    In-person
## 3151                   Canada      Entry-level       Full-time    In-person
## 3152                   Canada      Entry-level       Full-time    In-person
## 3153            United States           Senior       Full-time       Remote
## 3154            United States           Senior       Full-time       Remote
## 3155            United States           Senior       Full-time    In-person
## 3156            United States           Senior       Full-time    In-person
## 3157            United States           Senior       Full-time    In-person
## 3158            United States           Senior       Full-time    In-person
## 3159            United States           Senior       Full-time       Remote
## 3160            United States           Senior       Full-time       Remote
## 3161            United States           Senior       Full-time    In-person
## 3162            United States           Senior       Full-time    In-person
## 3163            United States      Entry-level       Full-time    In-person
## 3164            United States      Entry-level       Full-time    In-person
## 3165            United States           Senior       Full-time       Remote
## 3166            United States           Senior       Full-time       Remote
## 3167            United States           Senior       Full-time    In-person
## 3168            United States           Senior       Full-time    In-person
## 3169            United States           Senior       Full-time       Remote
## 3170            United States           Senior       Full-time       Remote
## 3171            United States           Senior       Full-time       Remote
## 3172            United States           Senior       Full-time       Remote
## 3173            United States           Senior       Full-time       Remote
## 3174            United States           Senior       Full-time       Remote
## 3175            United States           Senior       Full-time    In-person
## 3176            United States           Senior       Full-time    In-person
## 3177            United States           Senior       Full-time       Remote
## 3178            United States           Senior       Full-time       Remote
## 3179            United States        Mid-level       Full-time    In-person
## 3180            United States        Mid-level       Full-time    In-person
## 3181           United Kingdom      Entry-level       Full-time    In-person
## 3182           United Kingdom      Entry-level       Full-time    In-person
## 3183            United States           Senior       Full-time       Remote
## 3184            United States           Senior       Full-time       Remote
## 3185            United States           Senior       Full-time    In-person
## 3186            United States           Senior       Full-time    In-person
## 3187            United States           Senior       Full-time       Remote
## 3188            United States           Senior       Full-time       Remote
## 3189            United States           Senior       Full-time    In-person
## 3190            United States           Senior       Full-time    In-person
## 3191            United States           Senior       Full-time    In-person
## 3192            United States           Senior       Full-time    In-person
## 3193            United States           Senior       Full-time    In-person
## 3194            United States           Senior       Full-time    In-person
## 3195            United States           Senior       Full-time       Remote
## 3196            United States        Mid-level       Full-time    In-person
## 3197            United States        Mid-level       Full-time    In-person
## 3198            United States      Entry-level       Full-time    In-person
## 3199            United States      Entry-level       Full-time    In-person
## 3200            United States        Mid-level       Full-time    In-person
## 3201            United States        Mid-level       Full-time    In-person
## 3202                    Spain           Senior       Full-time       Remote
## 3203                    Spain           Senior       Full-time       Remote
## 3204            United States           Senior       Full-time    In-person
## 3205            United States           Senior       Full-time    In-person
## 3206            United States           Senior       Full-time    In-person
## 3207            United States           Senior       Full-time    In-person
## 3208                    Italy           Senior       Full-time       Remote
## 3209                    Italy           Senior       Full-time       Remote
## 3210            United States           Senior       Full-time    In-person
## 3211            United States           Senior       Full-time    In-person
## 3212            United States           Senior       Full-time    In-person
## 3213            United States           Senior       Full-time    In-person
## 3214            United States           Senior       Full-time    In-person
## 3215            United States           Senior       Full-time    In-person
## 3216            United States           Senior       Full-time    In-person
## 3217            United States           Senior       Full-time    In-person
## 3218            United States           Senior       Full-time       Remote
## 3219            United States           Senior       Full-time       Remote
## 3220            United States           Senior       Full-time       Remote
## 3221            United States           Senior       Full-time       Remote
## 3222                   Russia      Entry-level       Full-time       Remote
## 3223            United States           Senior       Full-time       Remote
## 3224            United States           Senior       Full-time       Remote
## 3225            United States      Entry-level       Full-time    In-person
## 3226            United States      Entry-level       Full-time    In-person
## 3227            United States        Mid-level       Full-time    In-person
## 3228            United States        Mid-level       Full-time    In-person
## 3229           United Kingdom      Entry-level       Full-time    In-person
## 3230           United Kingdom      Entry-level       Full-time    In-person
## 3231            United States        Mid-level       Full-time    In-person
## 3232            United States        Mid-level       Full-time    In-person
## 3233            United States           Senior       Full-time    In-person
## 3234            United States           Senior       Full-time    In-person
## 3235                   Canada           Senior       Full-time    In-person
## 3236                   Canada           Senior       Full-time    In-person
## 3237            United States           Senior       Full-time    In-person
## 3238            United States           Senior       Full-time    In-person
## 3239            United States           Senior       Full-time    In-person
## 3240            United States           Senior       Full-time    In-person
## 3241            United States      Entry-level       Full-time       Remote
## 3242            United States      Entry-level       Full-time       Remote
## 3243            United States        Mid-level       Full-time    In-person
## 3244            United States        Mid-level       Full-time    In-person
## 3245            United States           Senior       Full-time       Remote
## 3246            United States           Senior       Full-time       Remote
## 3247            United States           Senior       Full-time    In-person
## 3248            United States           Senior       Full-time    In-person
## 3249            United States           Senior       Full-time    In-person
## 3250            United States           Senior       Full-time    In-person
## 3251            United States        Mid-level       Full-time       Remote
## 3252            United States        Mid-level       Full-time       Remote
## 3253            United States           Senior       Full-time       Remote
## 3254            United States           Senior       Full-time       Remote
## 3255            United States           Senior       Full-time    In-person
## 3256            United States           Senior       Full-time    In-person
## 3257            United States        Mid-level       Full-time       Remote
## 3258            United States        Mid-level       Full-time       Remote
## 3259            United States           Senior       Full-time    In-person
## 3260            United States           Senior       Full-time    In-person
## 3261            United States        Mid-level       Full-time       Remote
## 3262            United States        Mid-level       Full-time       Remote
## 3263            United States           Senior       Full-time       Remote
## 3264            United States           Senior       Full-time       Remote
## 3265            United States           Senior       Full-time    In-person
## 3266            United States           Senior       Full-time    In-person
## 3267            United States        Mid-level       Full-time    In-person
## 3268            United States        Mid-level       Full-time    In-person
## 3269            United States           Senior       Full-time       Remote
## 3270            United States           Senior       Full-time       Remote
## 3271            United States        Mid-level       Full-time    In-person
## 3272            United States        Mid-level       Full-time    In-person
## 3273            United States           Senior       Full-time       Remote
## 3274            United States           Senior       Full-time       Remote
## 3275            United States           Senior       Full-time    In-person
## 3276            United States           Senior       Full-time    In-person
## 3277            United States           Senior       Full-time    In-person
## 3278            United States           Senior       Full-time    In-person
## 3279            United States           Senior       Full-time    In-person
## 3280            United States           Senior       Full-time    In-person
## 3281            United States           Senior       Full-time    In-person
## 3282            United States           Senior       Full-time    In-person
## 3283                   Canada           Senior       Full-time    In-person
## 3284                   Canada           Senior       Full-time    In-person
## 3285            United States           Senior       Full-time       Remote
## 3286            United States           Senior       Full-time       Remote
## 3287            United States           Senior       Full-time    In-person
## 3288            United States           Senior       Full-time    In-person
## 3289            United States           Senior       Full-time    In-person
## 3290            United States           Senior       Full-time    In-person
## 3291            United States           Senior       Full-time    In-person
## 3292            United States           Senior       Full-time    In-person
## 3293            United States           Senior       Full-time    In-person
## 3294            United States           Senior       Full-time    In-person
## 3295            United States           Senior       Full-time    In-person
## 3296            United States           Senior       Full-time    In-person
## 3297            United States           Senior       Full-time    In-person
## 3298            United States           Senior       Full-time    In-person
## 3299            United States           Senior       Full-time    In-person
## 3300            United States           Senior       Full-time    In-person
## 3301           United Kingdom        Mid-level       Full-time    In-person
## 3302           United Kingdom        Mid-level       Full-time    In-person
## 3303            United States        Mid-level       Full-time       Remote
## 3304            United States        Mid-level       Full-time       Remote
## 3305            United States           Senior       Full-time    In-person
## 3306            United States           Senior       Full-time    In-person
## 3307            United States        Mid-level       Full-time       Remote
## 3308            United States        Mid-level       Full-time       Remote
## 3309            United States           Senior       Full-time    In-person
## 3310            United States           Senior       Full-time    In-person
## 3311            United States           Senior       Full-time       Remote
## 3312            United States           Senior       Full-time       Remote
## 3313            United States        Mid-level       Full-time       Remote
## 3314            United States        Mid-level       Full-time       Remote
## 3315            United States           Senior       Full-time    In-person
## 3316            United States           Senior       Full-time    In-person
## 3317            United States           Senior       Full-time       Remote
## 3318            United States           Senior       Full-time       Remote
## 3319                   Canada           Senior       Full-time       Remote
## 3320                   Canada           Senior       Full-time       Remote
## 3321            United States           Senior       Full-time    In-person
## 3322            United States           Senior       Full-time    In-person
## 3323            United States           Senior       Full-time    In-person
## 3324            United States           Senior       Full-time    In-person
## 3325            United States        Mid-level       Full-time    In-person
## 3326            United States        Mid-level       Full-time    In-person
## 3327            United States           Senior       Full-time    In-person
## 3328            United States           Senior       Full-time    In-person
## 3329            United States           Senior       Full-time    In-person
## 3330            United States           Senior       Full-time    In-person
## 3331            United States        Mid-level       Full-time    In-person
## 3332            United States        Mid-level       Full-time    In-person
## 3333            United States        Mid-level       Full-time       Remote
## 3334            United States        Mid-level       Full-time       Remote
## 3335            United States           Senior       Full-time       Remote
## 3336            United States           Senior       Full-time       Remote
## 3337                   Canada        Mid-level       Full-time       Remote
## 3338                   Canada        Mid-level       Full-time       Remote
## 3339            United States           Senior       Full-time       Remote
## 3340            United States           Senior       Full-time       Remote
## 3341            United States           Senior       Full-time    In-person
## 3342            United States           Senior       Full-time    In-person
## 3343            United States           Senior       Full-time       Remote
## 3344            United States           Senior       Full-time       Remote
## 3345            United States        Mid-level       Full-time       Remote
## 3346            United States        Mid-level       Full-time       Remote
## 3347            United States           Senior       Full-time       Remote
## 3348            United States           Senior       Full-time       Remote
## 3349            United States        Mid-level       Full-time    In-person
## 3350            United States        Mid-level       Full-time    In-person
## 3351            United States           Senior       Full-time    In-person
## 3352            United States           Senior       Full-time    In-person
## 3353                  Germany           Senior       Full-time       Remote
## 3354                    Kenya      Entry-level       Full-time       Remote
## 3355            United States           Senior       Full-time       Remote
## 3356            United States           Senior       Full-time       Remote
## 3357            United States        Mid-level       Full-time    In-person
## 3358            United States        Mid-level       Full-time    In-person
## 3359            United States           Senior       Full-time       Remote
## 3360            United States           Senior       Full-time       Remote
## 3361            United States           Senior       Full-time    In-person
## 3362            United States           Senior       Full-time    In-person
## 3363           United Kingdom           Senior       Full-time    In-person
## 3364           United Kingdom           Senior       Full-time    In-person
## 3365            United States           Senior       Full-time    In-person
## 3366            United States           Senior       Full-time    In-person
## 3367            United States        Mid-level       Full-time    In-person
## 3368            United States        Mid-level       Full-time    In-person
## 3369            United States           Senior       Full-time    In-person
## 3370            United States           Senior       Full-time    In-person
## 3371            United States           Senior       Full-time       Remote
## 3372            United States           Senior       Full-time       Remote
## 3373            United States           Senior       Full-time    In-person
## 3374            United States           Senior       Full-time    In-person
## 3375            United States           Senior       Full-time    In-person
## 3376            United States           Senior       Full-time    In-person
## 3377            United States           Senior       Full-time    In-person
## 3378            United States           Senior       Full-time    In-person
## 3379            United States           Senior       Full-time    In-person
## 3380            United States           Senior       Full-time    In-person
## 3381            United States           Senior       Full-time       Remote
## 3382            United States           Senior       Full-time       Remote
## 3383                   Canada      Entry-level       Full-time       Remote
## 3384            United States           Senior       Full-time    In-person
## 3385            United States           Senior       Full-time    In-person
## 3386            United States           Senior       Full-time    In-person
## 3387            United States           Senior       Full-time    In-person
## 3388            United States           Senior       Full-time       Remote
## 3389            United States           Senior       Full-time       Remote
## 3390            United States           Senior       Full-time    In-person
## 3391            United States           Senior       Full-time    In-person
## 3392            United States           Senior       Full-time    In-person
## 3393            United States           Senior       Full-time    In-person
## 3394            United States           Senior       Full-time    In-person
## 3395            United States           Senior       Full-time    In-person
## 3396            United States           Senior       Full-time    In-person
## 3397            United States           Senior       Full-time    In-person
## 3398            United States           Senior       Full-time    In-person
## 3399            United States           Senior       Full-time    In-person
## 3400            United States           Senior       Full-time       Remote
## 3401            United States           Senior       Full-time       Remote
## 3402            United States           Senior       Full-time    In-person
## 3403            United States           Senior       Full-time    In-person
## 3404            United States           Senior       Full-time       Remote
## 3405            United States           Senior       Full-time       Remote
## 3406            United States           Senior       Full-time    In-person
## 3407            United States           Senior       Full-time    In-person
## 3408            United States           Senior       Full-time    In-person
## 3409            United States           Senior       Full-time    In-person
## 3410            United States           Senior       Full-time    In-person
## 3411            United States           Senior       Full-time    In-person
## 3412            United States           Senior       Full-time    In-person
## 3413            United States           Senior       Full-time    In-person
## 3414            United States           Senior       Full-time    In-person
## 3415            United States           Senior       Full-time    In-person
## 3416            United States           Senior       Full-time    In-person
## 3417            United States           Senior       Full-time    In-person
## 3418            United States           Senior       Full-time       Remote
## 3419            United States           Senior       Full-time       Remote
## 3420            United States           Senior       Full-time    In-person
## 3421            United States           Senior       Full-time    In-person
## 3422            United States        Mid-level       Full-time    In-person
## 3423            United States        Mid-level       Full-time    In-person
## 3424           United Kingdom           Senior       Full-time       Remote
## 3425           United Kingdom           Senior       Full-time       Remote
## 3426            United States           Senior       Full-time    In-person
## 3427            United States           Senior       Full-time    In-person
## 3428            United States        Executive       Full-time    In-person
## 3429            United States        Executive       Full-time    In-person
## 3430            United States           Senior       Full-time       Remote
## 3431            United States           Senior       Full-time       Remote
## 3432                   Canada           Senior       Full-time       Remote
## 3433                   Canada           Senior       Full-time       Remote
## 3434            United States        Mid-level       Full-time    In-person
## 3435            United States        Mid-level       Full-time    In-person
## 3436            United States           Senior       Full-time    In-person
## 3437            United States           Senior       Full-time    In-person
## 3438            United States           Senior       Full-time    In-person
## 3439            United States           Senior       Full-time    In-person
## 3440            United States        Mid-level       Full-time    In-person
## 3441            United States        Mid-level       Full-time    In-person
## 3442            United States        Mid-level       Full-time    In-person
## 3443            United States        Mid-level       Full-time    In-person
## 3444            United States        Mid-level       Full-time    In-person
## 3445            United States        Mid-level       Full-time    In-person
## 3446            United States           Senior       Full-time    In-person
## 3447            United States           Senior       Full-time    In-person
## 3448            United States           Senior       Full-time       Remote
## 3449            United States           Senior       Full-time       Remote
## 3450                   Canada           Senior       Full-time    In-person
## 3451                   Canada           Senior       Full-time    In-person
## 3452            United States           Senior       Full-time    In-person
## 3453            United States           Senior       Full-time    In-person
## 3454                   Russia           Senior       Full-time       Remote
## 3455            United States           Senior       Full-time    In-person
## 3456            United States           Senior       Full-time    In-person
## 3457            United States           Senior       Full-time    In-person
## 3458            United States           Senior       Full-time    In-person
## 3459            United States           Senior       Full-time    In-person
## 3460            United States           Senior       Full-time    In-person
## 3461            United States        Mid-level       Full-time    In-person
## 3462            United States        Mid-level       Full-time    In-person
## 3463            United States           Senior       Full-time    In-person
## 3464            United States           Senior       Full-time    In-person
## 3465            United States        Executive       Full-time       Remote
## 3466            United States        Executive       Full-time       Remote
## 3467            United States           Senior       Full-time    In-person
## 3468            United States           Senior       Full-time    In-person
## 3469            United States        Mid-level       Full-time    In-person
## 3470            United States        Mid-level       Full-time    In-person
## 3471            United States           Senior       Full-time       Remote
## 3472            United States           Senior       Full-time       Remote
## 3473            United States        Mid-level       Full-time       Remote
## 3474            United States        Mid-level       Full-time       Remote
## 3475           United Kingdom        Mid-level       Full-time       Remote
## 3476           United Kingdom        Mid-level       Full-time       Remote
## 3477            United States           Senior       Full-time       Remote
## 3478            United States           Senior       Full-time       Remote
## 3479            United States        Mid-level       Full-time       Remote
## 3480            United States        Mid-level       Full-time       Remote
## 3481                   Canada           Senior       Full-time    In-person
## 3482                   Canada           Senior       Full-time    In-person
## 3483            United States           Senior       Full-time    In-person
## 3484            United States           Senior       Full-time    In-person
## 3485            United States           Senior       Full-time       Remote
## 3486            United States           Senior       Full-time       Remote
## 3487           United Kingdom      Entry-level       Full-time       Remote
## 3488           United Kingdom      Entry-level       Full-time       Remote
## 3489                    India           Senior       Full-time       Remote
## 3490                    Spain           Senior       Full-time       Remote
## 3491            United States           Senior       Full-time       Remote
## 3492            United States           Senior       Full-time       Remote
## 3493                   Canada           Senior       Full-time    In-person
## 3494                   Canada           Senior       Full-time    In-person
## 3495            United States           Senior       Full-time    In-person
## 3496            United States           Senior       Full-time    In-person
## 3497            United States           Senior       Full-time       Remote
## 3498            United States           Senior       Full-time       Remote
## 3499            United States        Mid-level       Full-time    In-person
## 3500            United States        Mid-level       Full-time    In-person
## 3501            United States           Senior       Full-time    In-person
## 3502            United States           Senior       Full-time    In-person
## 3503            United States        Mid-level       Full-time       Remote
## 3504            United States        Mid-level       Full-time       Remote
## 3505            United States           Senior       Full-time    In-person
## 3506            United States           Senior       Full-time    In-person
## 3507            United States        Mid-level       Full-time    In-person
## 3508            United States        Mid-level       Full-time    In-person
## 3509            United States           Senior       Full-time    In-person
## 3510            United States           Senior       Full-time    In-person
## 3511            United States           Senior       Full-time    In-person
## 3512            United States           Senior       Full-time    In-person
## 3513                  Tunisia        Mid-level       Full-time       Remote
## 3514            United States           Senior       Full-time       Remote
## 3515            United States           Senior       Full-time       Remote
## 3516            United States           Senior       Full-time    In-person
## 3517            United States           Senior       Full-time    In-person
## 3518            United States           Senior       Full-time       Remote
## 3519            United States           Senior       Full-time       Remote
## 3520            United States           Senior       Full-time       Remote
## 3521            United States           Senior       Full-time       Remote
## 3522            United States           Senior       Full-time       Remote
## 3523            United States           Senior       Full-time       Remote
## 3524            United States        Mid-level       Full-time    In-person
## 3525            United States        Mid-level       Full-time    In-person
## 3526            United States           Senior       Full-time    In-person
## 3527            United States           Senior       Full-time    In-person
## 3528            United States        Executive       Full-time    In-person
## 3529            United States        Executive       Full-time    In-person
## 3530           United Kingdom           Senior       Full-time       Remote
## 3531           United Kingdom           Senior       Full-time       Remote
## 3532            United States           Senior       Full-time       Remote
## 3533            United States           Senior       Full-time       Remote
## 3534            United States           Senior       Full-time    In-person
## 3535            United States           Senior       Full-time    In-person
## 3536            United States           Senior       Full-time       Remote
## 3537            United States           Senior       Full-time       Remote
## 3538            United States           Senior       Full-time    In-person
## 3539            United States           Senior       Full-time    In-person
## 3540            United States           Senior       Full-time       Remote
## 3541            United States           Senior       Full-time       Remote
## 3542            United States           Senior       Full-time    In-person
## 3543            United States           Senior       Full-time    In-person
## 3544                  Germany           Senior       Full-time       Remote
## 3545                  Germany           Senior       Full-time       Remote
## 3546            United States           Senior       Full-time    In-person
## 3547            United States           Senior       Full-time    In-person
## 3548            United States           Senior       Full-time    In-person
## 3549            United States           Senior       Full-time    In-person
## 3550            United States           Senior       Full-time       Remote
## 3551            United States           Senior       Full-time       Remote
## 3552            United States           Senior       Full-time    In-person
## 3553            United States           Senior       Full-time    In-person
## 3554            United States           Senior       Full-time       Remote
## 3555            United States           Senior       Full-time       Remote
## 3556                   Canada        Mid-level       Full-time       Remote
## 3557                   Canada        Mid-level       Full-time       Remote
## 3558            United States        Executive       Full-time    In-person
## 3559            United States        Executive       Full-time    In-person
## 3560            United States        Mid-level       Full-time       Remote
## 3561            United States        Mid-level       Full-time       Remote
## 3562                   Canada           Senior       Full-time       Remote
## 3563                   Canada           Senior       Full-time       Remote
## 3564            United States           Senior       Full-time    In-person
## 3565            United States           Senior       Full-time    In-person
## 3566            United States           Senior       Full-time    In-person
## 3567            United States           Senior       Full-time    In-person
## 3568            United States           Senior       Full-time    In-person
## 3569            United States           Senior       Full-time    In-person
## 3570            United States      Entry-level       Full-time    In-person
## 3571            United States      Entry-level       Full-time    In-person
## 3572            United States           Senior       Full-time       Remote
## 3573            United States           Senior       Full-time       Remote
## 3574            United States           Senior       Full-time    In-person
## 3575            United States           Senior       Full-time    In-person
## 3576            United States           Senior       Full-time    In-person
## 3577            United States           Senior       Full-time    In-person
## 3578            United States           Senior       Full-time    In-person
## 3579            United States           Senior       Full-time    In-person
## 3580                   Canada           Senior       Full-time       Remote
## 3581                   Canada           Senior       Full-time       Remote
## 3582                   Canada           Senior       Full-time       Remote
## 3583                   Canada           Senior       Full-time       Remote
## 3584            United States           Senior       Full-time    In-person
## 3585            United States           Senior       Full-time    In-person
## 3586            United States        Mid-level       Full-time       Remote
## 3587           United Kingdom           Senior       Full-time       Remote
## 3588           United Kingdom           Senior       Full-time       Remote
## 3589            United States           Senior       Full-time    In-person
## 3590            United States           Senior       Full-time    In-person
## 3591            United States           Senior       Full-time    In-person
## 3592            United States           Senior       Full-time    In-person
## 3593           United Kingdom           Senior       Full-time       Remote
## 3594           United Kingdom           Senior       Full-time       Remote
## 3595            United States           Senior       Full-time       Remote
## 3596            United States           Senior       Full-time       Remote
## 3597                    Spain           Senior       Full-time       Remote
## 3598                    Spain           Senior       Full-time       Remote
## 3599            United States           Senior       Full-time    In-person
## 3600            United States           Senior       Full-time    In-person
## 3601            United States        Mid-level       Full-time       Remote
## 3602            United States        Mid-level       Full-time       Remote
## 3603            United States           Senior       Full-time    In-person
## 3604            United States           Senior       Full-time    In-person
## 3605            United States           Senior       Full-time    In-person
## 3606            United States           Senior       Full-time    In-person
## 3607                    Italy           Senior       Full-time       Remote
## 3608                    Italy           Senior       Full-time       Remote
## 3609                   Canada           Senior       Full-time       Remote
## 3610                   Canada           Senior       Full-time       Remote
## 3611            United States           Senior       Full-time    In-person
## 3612            United States           Senior       Full-time    In-person
## 3613            United States           Senior       Full-time       Remote
## 3614            United States           Senior       Full-time       Remote
## 3615            United States           Senior       Full-time    In-person
## 3616            United States           Senior       Full-time    In-person
## 3617            United States           Senior       Full-time    In-person
## 3618            United States           Senior       Full-time    In-person
## 3619            United States           Senior       Full-time    In-person
## 3620            United States           Senior       Full-time    In-person
## 3621            United States           Senior       Full-time    In-person
## 3622            United States           Senior       Full-time    In-person
## 3623                   Poland        Mid-level       Full-time       Remote
## 3624            United States           Senior       Full-time    In-person
## 3625            United States           Senior       Full-time    In-person
## 3626            United States           Senior       Full-time    In-person
## 3627            United States           Senior       Full-time    In-person
## 3628           United Kingdom           Senior       Full-time    In-person
## 3629           United Kingdom           Senior       Full-time    In-person
## 3630           United Kingdom           Senior       Full-time    In-person
## 3631           United Kingdom           Senior       Full-time    In-person
## 3632            United States           Senior       Full-time       Remote
## 3633            United States           Senior       Full-time       Remote
## 3634            United States           Senior       Full-time    In-person
## 3635            United States           Senior       Full-time    In-person
## 3636            United States           Senior       Full-time    In-person
## 3637            United States           Senior       Full-time    In-person
## 3638            United States        Executive       Full-time    In-person
## 3639            United States        Executive       Full-time    In-person
## 3640            United States           Senior       Full-time       Remote
## 3641            United States           Senior       Full-time       Remote
## 3642            United States           Senior       Full-time    In-person
## 3643            United States           Senior       Full-time    In-person
## 3644            United States           Senior       Full-time    In-person
## 3645            United States           Senior       Full-time    In-person
## 3646            United States           Senior       Full-time    In-person
## 3647            United States           Senior       Full-time    In-person
## 3648            United States           Senior       Full-time    In-person
## 3649            United States           Senior       Full-time    In-person
## 3650            United States        Mid-level       Full-time    In-person
## 3651            United States        Mid-level       Full-time    In-person
## 3652                   Canada           Senior       Full-time       Remote
## 3653                   Canada           Senior       Full-time       Remote
## 3654            United States           Senior       Full-time    In-person
## 3655            United States           Senior       Full-time    In-person
## 3656            United States           Senior       Full-time    In-person
## 3657            United States           Senior       Full-time    In-person
## 3658            United States           Senior       Full-time    In-person
## 3659            United States           Senior       Full-time    In-person
## 3660            United States        Mid-level       Full-time    In-person
## 3661            United States        Mid-level       Full-time    In-person
## 3662           United Kingdom           Senior       Full-time       Remote
## 3663           United Kingdom           Senior       Full-time       Remote
## 3664            United States           Senior       Full-time       Remote
## 3665            United States           Senior       Full-time       Remote
## 3666            United States           Senior       Full-time    In-person
## 3667            United States           Senior       Full-time    In-person
## 3668            United States        Mid-level       Full-time    In-person
## 3669            United States        Mid-level       Full-time    In-person
## 3670            United States           Senior       Full-time    In-person
## 3671            United States           Senior       Full-time    In-person
## 3672            United States           Senior       Full-time    In-person
## 3673            United States           Senior       Full-time    In-person
## 3674            United States           Senior       Full-time       Remote
## 3675            United States           Senior       Full-time       Remote
## 3676           United Kingdom        Mid-level       Full-time       Remote
## 3677           United Kingdom        Mid-level       Full-time       Remote
## 3678            United States        Mid-level       Full-time       Remote
## 3679            United States        Mid-level       Full-time       Remote
## 3680           United Kingdom        Mid-level       Full-time    In-person
## 3681           United Kingdom        Mid-level       Full-time    In-person
## 3682           United Kingdom           Senior       Full-time       Remote
## 3683           United Kingdom           Senior       Full-time       Remote
## 3684                    Ghana        Mid-level       Full-time       Remote
## 3685                  Germany           Senior       Full-time    In-person
## 3686            United States           Senior       Full-time    In-person
## 3687            United States           Senior       Full-time    In-person
## 3688            United States           Senior       Full-time       Remote
## 3689            United States           Senior       Full-time       Remote
## 3690            United States           Senior       Full-time    In-person
## 3691            United States           Senior       Full-time    In-person
## 3692            United States        Mid-level       Full-time    In-person
## 3693            United States        Mid-level       Full-time    In-person
## 3694            United States           Senior       Full-time    In-person
## 3695            United States           Senior       Full-time    In-person
## 3696            United States        Mid-level       Full-time       Remote
## 3697            United States        Mid-level       Full-time       Remote
## 3698            United States           Senior       Full-time    In-person
## 3699            United States           Senior       Full-time    In-person
## 3700            United States           Senior       Full-time       Remote
## 3701            United States           Senior       Full-time       Remote
## 3702            United States           Senior       Full-time       Remote
## 3703            United States           Senior       Full-time       Remote
## 3704            United States           Senior       Full-time    In-person
## 3705            United States           Senior       Full-time    In-person
## 3706              Netherlands        Executive       Full-time       Hybrid
## 3707            United States           Senior       Full-time    In-person
## 3708            United States           Senior       Full-time    In-person
## 3709            United States        Mid-level       Full-time    In-person
## 3710            United States        Mid-level       Full-time    In-person
## 3711            United States           Senior       Full-time    In-person
## 3712            United States           Senior       Full-time    In-person
## 3713            United States           Senior       Full-time       Remote
## 3714            United States           Senior       Full-time       Remote
## 3715                   Canada           Senior       Full-time    In-person
## 3716                   Canada           Senior       Full-time    In-person
## 3717            United States           Senior       Full-time    In-person
## 3718            United States           Senior       Full-time    In-person
## 3719           United Kingdom           Senior       Full-time    In-person
## 3720           United Kingdom           Senior       Full-time    In-person
## 3721            United States           Senior       Full-time    In-person
## 3722            United States           Senior       Full-time    In-person
## 3723            United States        Mid-level       Full-time       Remote
## 3724            United States        Mid-level       Full-time       Remote
## 3725            United States           Senior       Full-time    In-person
## 3726            United States           Senior       Full-time    In-person
## 3727            United States           Senior       Full-time       Remote
## 3728            United States           Senior       Full-time       Remote
## 3729            United States           Senior       Full-time    In-person
## 3730            United States           Senior       Full-time    In-person
## 3731            United States           Senior       Full-time    In-person
## 3732            United States           Senior       Full-time    In-person
## 3733            United States           Senior       Full-time       Remote
## 3734            United States           Senior       Full-time       Remote
## 3735           United Kingdom        Mid-level       Full-time       Remote
## 3736           United Kingdom        Mid-level       Full-time       Remote
## 3737            United States           Senior       Full-time    In-person
## 3738            United States           Senior       Full-time    In-person
## 3739                  Germany           Senior       Full-time       Hybrid
## 3740                  Germany           Senior       Full-time       Remote
## 3741            United States           Senior       Full-time    In-person
## 3742            United States           Senior       Full-time    In-person
## 3743            United States           Senior       Full-time    In-person
## 3744            United States           Senior       Full-time    In-person
## 3745            United States           Senior       Full-time    In-person
## 3746            United States           Senior       Full-time    In-person
## 3747            United States           Senior       Full-time    In-person
## 3748            United States           Senior       Full-time    In-person
## 3749            United States           Senior       Full-time       Remote
## 3750            United States           Senior       Full-time       Remote
## 3751            United States           Senior       Full-time    In-person
## 3752            United States           Senior       Full-time    In-person
## 3753            United States           Senior       Full-time    In-person
## 3754            United States           Senior       Full-time    In-person
## 3755            United States           Senior       Full-time    In-person
## 3756            United States           Senior       Full-time    In-person
## 3757            United States           Senior       Full-time    In-person
## 3758            United States           Senior       Full-time    In-person
## 3759            United States           Senior       Full-time    In-person
## 3760            United States           Senior       Full-time    In-person
## 3761            United States           Senior       Full-time       Remote
## 3762            United States           Senior       Full-time       Remote
## 3763           United Kingdom           Senior       Full-time       Remote
## 3764           United Kingdom           Senior       Full-time       Remote
## 3765            United States           Senior       Full-time       Remote
## 3766            United States           Senior       Full-time       Remote
## 3767            United States           Senior       Full-time    In-person
## 3768            United States           Senior       Full-time    In-person
## 3769           United Kingdom           Senior       Full-time       Remote
## 3770           United Kingdom           Senior       Full-time       Remote
## 3771            United States           Senior       Full-time    In-person
## 3772            United States           Senior       Full-time    In-person
## 3773            United States           Senior       Full-time       Remote
## 3774            United States           Senior       Full-time       Remote
## 3775            United States           Senior       Full-time       Remote
## 3776            United States           Senior       Full-time       Remote
## 3777            United States        Executive       Full-time    In-person
## 3778            United States        Executive       Full-time    In-person
## 3779           United Kingdom        Mid-level       Full-time       Remote
## 3780           United Kingdom        Mid-level       Full-time       Remote
## 3781            United States           Senior       Full-time    In-person
## 3782            United States           Senior       Full-time    In-person
## 3783            United States           Senior       Full-time    In-person
## 3784            United States           Senior       Full-time    In-person
## 3785            United States           Senior       Full-time    In-person
## 3786            United States           Senior       Full-time    In-person
## 3787            United States           Senior       Full-time       Remote
## 3788            United States           Senior       Full-time       Remote
## 3789            United States           Senior       Full-time    In-person
## 3790            United States           Senior       Full-time    In-person
## 3791            United States           Senior       Full-time    In-person
## 3792            United States           Senior       Full-time    In-person
## 3793            United States           Senior       Full-time    In-person
## 3794            United States           Senior       Full-time    In-person
## 3795            United States           Senior       Full-time    In-person
## 3796            United States           Senior       Full-time    In-person
## 3797           United Kingdom        Executive       Full-time       Remote
## 3798           United Kingdom        Executive       Full-time       Remote
## 3799            United States           Senior       Full-time    In-person
## 3800            United States           Senior       Full-time    In-person
## 3801            United States           Senior       Full-time    In-person
## 3802            United States           Senior       Full-time    In-person
## 3803              South Korea      Entry-level       Full-time    In-person
## 3804                    Spain           Senior       Full-time       Remote
## 3805            United States        Mid-level       Full-time    In-person
## 3806            United States        Mid-level       Full-time    In-person
## 3807            United States           Senior       Full-time       Remote
## 3808            United States           Senior       Full-time       Remote
## 3809            United States           Senior       Full-time    In-person
## 3810            United States           Senior       Full-time    In-person
## 3811            United States           Senior       Full-time       Remote
## 3812            United States           Senior       Full-time       Remote
## 3813                  Estonia           Senior       Full-time    In-person
## 3814                  Estonia           Senior       Full-time    In-person
## 3815            United States           Senior       Full-time       Remote
## 3816            United States           Senior       Full-time       Remote
## 3817            United States           Senior       Full-time    In-person
## 3818            United States           Senior       Full-time    In-person
## 3819            United States           Senior       Full-time       Remote
## 3820            United States           Senior       Full-time       Remote
## 3821            United States           Senior       Full-time    In-person
## 3822            United States           Senior       Full-time    In-person
## 3823            United States           Senior       Full-time    In-person
## 3824            United States           Senior       Full-time    In-person
## 3825            United States        Mid-level       Full-time       Remote
## 3826            United States        Mid-level       Full-time       Remote
## 3827            United States           Senior       Full-time    In-person
## 3828            United States           Senior       Full-time    In-person
## 3829            United States           Senior       Full-time       Remote
## 3830            United States           Senior       Full-time       Remote
## 3831            United States           Senior       Full-time    In-person
## 3832            United States           Senior       Full-time    In-person
## 3833            United States           Senior       Full-time    In-person
## 3834            United States           Senior       Full-time    In-person
## 3835            United States        Mid-level       Full-time    In-person
## 3836            United States        Mid-level       Full-time    In-person
## 3837            United States           Senior       Full-time       Remote
## 3838            United States           Senior       Full-time       Remote
## 3839            United States           Senior       Full-time    In-person
## 3840            United States           Senior       Full-time    In-person
## 3841                   France      Entry-level       Full-time    In-person
## 3842            United States           Senior       Full-time    In-person
## 3843            United States           Senior       Full-time    In-person
## 3844            United States           Senior       Full-time       Remote
## 3845            United States           Senior       Full-time       Remote
## 3846            United States           Senior       Full-time       Remote
## 3847            United States           Senior       Full-time       Remote
## 3848            United States        Mid-level       Full-time    In-person
## 3849            United States        Mid-level       Full-time    In-person
## 3850            United States           Senior       Full-time       Remote
## 3851            United States           Senior       Full-time       Remote
## 3852            United States           Senior       Full-time       Remote
## 3853            United States           Senior       Full-time       Remote
## 3854            United States           Senior       Full-time       Remote
## 3855            United States           Senior       Full-time       Remote
## 3856            United States           Senior       Full-time    In-person
## 3857            United States           Senior       Full-time    In-person
## 3858            United States           Senior       Full-time    In-person
## 3859            United States           Senior       Full-time    In-person
## 3860            United States           Senior       Full-time    In-person
## 3861            United States           Senior       Full-time    In-person
## 3862            United States        Mid-level       Full-time    In-person
## 3863            United States        Mid-level       Full-time    In-person
## 3864            United States           Senior       Full-time    In-person
## 3865            United States           Senior       Full-time    In-person
## 3866            United States           Senior       Full-time       Remote
## 3867            United States           Senior       Full-time       Remote
## 3868            United States           Senior       Full-time       Remote
## 3869            United States           Senior       Full-time       Remote
## 3870            United States           Senior       Full-time    In-person
## 3871            United States           Senior       Full-time    In-person
## 3872            United States        Executive       Full-time       Remote
## 3873            United States        Executive       Full-time       Remote
## 3874            United States           Senior       Full-time    In-person
## 3875            United States           Senior       Full-time    In-person
## 3876            United States        Mid-level       Full-time    In-person
## 3877            United States        Mid-level       Full-time    In-person
## 3878            United States           Senior       Full-time    In-person
## 3879            United States           Senior       Full-time    In-person
## 3880            United States           Senior       Full-time    In-person
## 3881            United States           Senior       Full-time    In-person
## 3882            United States           Senior       Full-time    In-person
## 3883            United States           Senior       Full-time    In-person
## 3884            United States           Senior       Full-time    In-person
## 3885            United States           Senior       Full-time    In-person
## 3886            United States           Senior       Full-time    In-person
## 3887            United States           Senior       Full-time    In-person
## 3888            United States           Senior       Full-time    In-person
## 3889            United States           Senior       Full-time    In-person
## 3890            United States           Senior       Full-time       Remote
## 3891            United States           Senior       Full-time       Remote
## 3892            United States           Senior       Full-time    In-person
## 3893            United States           Senior       Full-time    In-person
## 3894            United States           Senior       Full-time       Remote
## 3895            United States           Senior       Full-time       Remote
## 3896            United States           Senior       Full-time    In-person
## 3897            United States           Senior       Full-time    In-person
## 3898            United States           Senior       Full-time    In-person
## 3899            United States           Senior       Full-time    In-person
## 3900            United States           Senior       Full-time       Remote
## 3901            United States           Senior       Full-time       Remote
## 3902            United States        Mid-level       Full-time    In-person
## 3903            United States        Mid-level       Full-time    In-person
## 3904            United States           Senior       Full-time    In-person
## 3905            United States           Senior       Full-time    In-person
## 3906            United States        Mid-level       Full-time    In-person
## 3907            United States        Mid-level       Full-time    In-person
## 3908            United States           Senior       Full-time       Remote
## 3909            United States           Senior       Full-time       Remote
## 3910            United States           Senior       Full-time    In-person
## 3911            United States           Senior       Full-time    In-person
## 3912            United States        Executive       Full-time    In-person
## 3913            United States        Executive       Full-time    In-person
## 3914            United States           Senior       Full-time    In-person
## 3915            United States           Senior       Full-time    In-person
## 3916            United States        Mid-level       Full-time       Remote
## 3917            United States        Mid-level       Full-time       Remote
## 3918            United States        Mid-level       Full-time    In-person
## 3919            United States        Mid-level       Full-time    In-person
## 3920            United States        Mid-level       Full-time    In-person
## 3921            United States        Mid-level       Full-time    In-person
## 3922            United States        Mid-level       Full-time    In-person
## 3923            United States        Mid-level       Full-time    In-person
## 3924            United States        Mid-level       Full-time    In-person
## 3925            United States        Mid-level       Full-time    In-person
## 3926           United Kingdom           Senior       Full-time    In-person
## 3927           United Kingdom           Senior       Full-time    In-person
## 3928           United Kingdom           Senior       Full-time    In-person
## 3929           United Kingdom           Senior       Full-time    In-person
## 3930            United States        Mid-level       Full-time    In-person
## 3931            United States        Mid-level       Full-time    In-person
## 3932            United States           Senior       Full-time       Remote
## 3933            United States           Senior       Full-time       Remote
## 3934            United States           Senior       Full-time    In-person
## 3935            United States           Senior       Full-time    In-person
## 3936            United States           Senior       Full-time    In-person
## 3937            United States           Senior       Full-time    In-person
## 3938            United States           Senior       Full-time    In-person
## 3939            United States           Senior       Full-time    In-person
## 3940            United States        Executive       Full-time       Remote
## 3941            United States        Executive       Full-time       Remote
## 3942            United States           Senior       Full-time    In-person
## 3943            United States           Senior       Full-time    In-person
## 3944            United States           Senior       Full-time    In-person
## 3945            United States           Senior       Full-time    In-person
## 3946            United States           Senior       Full-time    In-person
## 3947            United States           Senior       Full-time    In-person
## 3948            United States        Mid-level       Full-time    In-person
## 3949            United States        Mid-level       Full-time    In-person
## 3950            United States        Mid-level       Full-time       Remote
## 3951            United States        Mid-level       Full-time       Remote
## 3952            United States           Senior       Full-time    In-person
## 3953            United States           Senior       Full-time    In-person
## 3954            United States        Mid-level       Full-time    In-person
## 3955            United States        Mid-level       Full-time    In-person
## 3956            United States           Senior       Full-time       Remote
## 3957            United States           Senior       Full-time       Remote
## 3958            United States           Senior       Full-time       Remote
## 3959            United States           Senior       Full-time       Remote
## 3960            United States           Senior       Full-time    In-person
## 3961            United States           Senior       Full-time    In-person
## 3962           United Kingdom           Senior       Full-time    In-person
## 3963           United Kingdom           Senior       Full-time    In-person
## 3964            United States           Senior       Full-time       Remote
## 3965            United States           Senior       Full-time       Remote
## 3966            United States           Senior       Full-time    In-person
## 3967            United States           Senior       Full-time    In-person
## 3968            United States           Senior       Full-time    In-person
## 3969            United States           Senior       Full-time    In-person
## 3970            United States           Senior       Full-time    In-person
## 3971            United States           Senior       Full-time    In-person
## 3972            United States           Senior       Full-time       Remote
## 3973            United States           Senior       Full-time       Remote
## 3974            United States           Senior       Full-time    In-person
## 3975            United States           Senior       Full-time    In-person
## 3976            United States           Senior       Full-time    In-person
## 3977            United States           Senior       Full-time    In-person
## 3978            United States           Senior       Full-time       Remote
## 3979            United States           Senior       Full-time       Remote
## 3980            United States           Senior       Full-time       Remote
## 3981            United States           Senior       Full-time       Remote
## 3982            United States           Senior       Full-time    In-person
## 3983            United States           Senior       Full-time    In-person
## 3984            United States           Senior       Full-time    In-person
## 3985            United States           Senior       Full-time    In-person
## 3986           United Kingdom           Senior       Full-time    In-person
## 3987           United Kingdom           Senior       Full-time    In-person
## 3988            United States           Senior       Full-time       Remote
## 3989            United States           Senior       Full-time       Remote
## 3990            United States           Senior       Full-time    In-person
## 3991            United States           Senior       Full-time    In-person
## 3992            United States           Senior       Full-time    In-person
## 3993            United States           Senior       Full-time    In-person
## 3994            United States           Senior       Full-time    In-person
## 3995            United States           Senior       Full-time    In-person
## 3996            United States           Senior       Full-time    In-person
## 3997            United States           Senior       Full-time    In-person
## 3998            United States           Senior       Full-time       Remote
## 3999            United States           Senior       Full-time       Remote
## 4000            United States        Mid-level       Full-time    In-person
## 4001            United States        Mid-level       Full-time    In-person
## 4002           United Kingdom        Mid-level       Full-time       Remote
## 4003           United Kingdom        Mid-level       Full-time       Remote
## 4004            United States           Senior       Full-time    In-person
## 4005            United States           Senior       Full-time    In-person
## 4006            United States      Entry-level       Full-time    In-person
## 4007            United States      Entry-level       Full-time    In-person
## 4008            United States           Senior       Full-time    In-person
## 4009            United States           Senior       Full-time    In-person
## 4010            United States           Senior       Full-time    In-person
## 4011            United States           Senior       Full-time    In-person
## 4012            United States           Senior       Full-time       Remote
## 4013            United States           Senior       Full-time       Remote
## 4014            United States           Senior       Full-time    In-person
## 4015            United States           Senior       Full-time    In-person
## 4016            United States           Senior       Full-time    In-person
## 4017            United States           Senior       Full-time    In-person
## 4018            United States           Senior       Full-time       Remote
## 4019            United States           Senior       Full-time       Remote
## 4020           United Kingdom      Entry-level       Full-time    In-person
## 4021           United Kingdom      Entry-level       Full-time    In-person
## 4022            United States           Senior       Full-time       Remote
## 4023            United States           Senior       Full-time       Remote
## 4024            United States           Senior       Full-time    In-person
## 4025            United States           Senior       Full-time    In-person
## 4026            United States           Senior       Full-time    In-person
## 4027            United States           Senior       Full-time    In-person
## 4028            United States           Senior       Full-time       Remote
## 4029            United States           Senior       Full-time       Remote
## 4030            United States           Senior       Full-time    In-person
## 4031            United States           Senior       Full-time    In-person
## 4032            United States           Senior       Full-time    In-person
## 4033            United States           Senior       Full-time    In-person
## 4034           United Kingdom           Senior       Full-time       Remote
## 4035           United Kingdom           Senior       Full-time       Remote
## 4036            United States           Senior       Full-time    In-person
## 4037            United States           Senior       Full-time    In-person
## 4038            United States           Senior       Full-time       Remote
## 4039            United States           Senior       Full-time       Remote
## 4040            United States        Mid-level       Full-time       Remote
## 4041            United States        Mid-level       Full-time       Remote
## 4042                   Canada           Senior       Full-time    In-person
## 4043                   Canada           Senior       Full-time    In-person
## 4044            United States           Senior       Full-time    In-person
## 4045            United States           Senior       Full-time    In-person
## 4046            United States           Senior       Full-time    In-person
## 4047            United States           Senior       Full-time    In-person
## 4048            United States           Senior       Full-time       Remote
## 4049            United States           Senior       Full-time       Remote
## 4050                  Estonia           Senior       Full-time    In-person
## 4051                  Estonia           Senior       Full-time    In-person
## 4052            United States           Senior       Full-time       Remote
## 4053            United States           Senior       Full-time       Remote
## 4054            United States           Senior       Full-time    In-person
## 4055            United States           Senior       Full-time    In-person
## 4056            United States           Senior       Full-time    In-person
## 4057            United States           Senior       Full-time    In-person
## 4058            United States           Senior       Full-time       Remote
## 4059            United States           Senior       Full-time       Remote
## 4060            United States           Senior       Full-time    In-person
## 4061            United States           Senior       Full-time    In-person
## 4062            United States        Mid-level       Full-time    In-person
## 4063            United States        Mid-level       Full-time    In-person
## 4064            United States        Executive       Full-time    In-person
## 4065            United States        Executive       Full-time    In-person
## 4066            United States           Senior       Full-time    In-person
## 4067            United States           Senior       Full-time    In-person
## 4068            United States           Senior       Full-time    In-person
## 4069            United States           Senior       Full-time    In-person
## 4070            United States           Senior       Full-time    In-person
## 4071            United States           Senior       Full-time    In-person
## 4072                Australia        Mid-level       Full-time    In-person
## 4073                Australia        Mid-level       Full-time    In-person
## 4074            United States           Senior       Full-time    In-person
## 4075            United States           Senior       Full-time    In-person
## 4076           United Kingdom           Senior       Full-time    In-person
## 4077           United Kingdom           Senior       Full-time    In-person
## 4078            United States           Senior       Full-time    In-person
## 4079            United States           Senior       Full-time    In-person
## 4080            United States           Senior       Full-time       Remote
## 4081            United States           Senior       Full-time       Remote
## 4082            United States           Senior       Full-time    In-person
## 4083            United States           Senior       Full-time    In-person
## 4084            United States           Senior       Full-time       Remote
## 4085            United States           Senior       Full-time    In-person
## 4086            United States           Senior       Full-time    In-person
## 4087            United States           Senior       Full-time    In-person
## 4088            United States           Senior       Full-time    In-person
## 4089            United States           Senior       Full-time       Remote
## 4090            United States           Senior       Full-time       Remote
## 4091            United States           Senior       Full-time       Remote
## 4092            United States           Senior       Full-time       Remote
## 4093            United States           Senior       Full-time       Remote
## 4094            United States           Senior       Full-time       Remote
## 4095            United States           Senior       Full-time       Remote
## 4096            United States           Senior       Full-time       Remote
## 4097            United States           Senior       Full-time    In-person
## 4098            United States           Senior       Full-time    In-person
## 4099            United States           Senior       Full-time    In-person
## 4100            United States           Senior       Full-time    In-person
## 4101            United States           Senior       Full-time    In-person
## 4102            United States           Senior       Full-time    In-person
## 4103            United States           Senior       Full-time       Remote
## 4104            United States           Senior       Full-time       Remote
## 4105            United States           Senior       Full-time    In-person
## 4106            United States           Senior       Full-time    In-person
## 4107            United States        Mid-level       Full-time       Remote
## 4108            United States        Mid-level       Full-time       Remote
## 4109            United States        Mid-level       Full-time       Remote
## 4110            United States        Mid-level       Full-time       Remote
## 4111            United States        Mid-level       Full-time    In-person
## 4112            United States        Mid-level       Full-time    In-person
## 4113            United States           Senior       Full-time       Remote
## 4114            United States           Senior       Full-time       Remote
## 4115            United States           Senior       Full-time       Hybrid
## 4116            United States           Senior       Full-time       Hybrid
## 4117            United States           Senior       Full-time    In-person
## 4118            United States           Senior       Full-time    In-person
## 4119            United States      Entry-level       Full-time    In-person
## 4120            United States      Entry-level       Full-time    In-person
## 4121            United States           Senior       Full-time    In-person
## 4122            United States           Senior       Full-time    In-person
## 4123            United States           Senior       Full-time    In-person
## 4124            United States           Senior       Full-time    In-person
## 4125            United States           Senior       Full-time       Remote
## 4126            United States           Senior       Full-time       Remote
## 4127            United States           Senior       Full-time    In-person
## 4128            United States           Senior       Full-time    In-person
## 4129            United States           Senior       Full-time    In-person
## 4130            United States           Senior       Full-time    In-person
## 4131            United States           Senior       Full-time    In-person
## 4132            United States           Senior       Full-time    In-person
## 4133           United Kingdom        Mid-level       Full-time       Remote
## 4134           United Kingdom        Mid-level       Full-time       Remote
## 4135            United States           Senior       Full-time       Remote
## 4136            United States           Senior       Full-time       Remote
## 4137            United States           Senior       Full-time    In-person
## 4138            United States           Senior       Full-time    In-person
## 4139            United States           Senior       Full-time       Remote
## 4140            United States           Senior       Full-time       Remote
## 4141            United States        Mid-level       Full-time       Remote
## 4142            United States        Mid-level       Full-time       Remote
## 4143                  Germany           Senior       Full-time       Hybrid
## 4144                   Canada           Senior        Contract       Remote
## 4145           United Kingdom        Mid-level       Full-time       Hybrid
## 4146            United States           Senior       Full-time    In-person
## 4147            United States           Senior       Full-time    In-person
## 4148           United Kingdom           Senior       Full-time    In-person
## 4149           United Kingdom           Senior       Full-time    In-person
## 4150            United States           Senior       Full-time    In-person
## 4151            United States           Senior       Full-time    In-person
## 4152            United States           Senior       Full-time    In-person
## 4153            United States           Senior       Full-time    In-person
## 4154            United States           Senior       Full-time    In-person
## 4155            United States           Senior       Full-time    In-person
## 4156            United States        Mid-level       Full-time    In-person
## 4157            United States        Mid-level       Full-time    In-person
## 4158                   Canada      Entry-level       Full-time    In-person
## 4159            United States           Senior       Full-time    In-person
## 4160            United States           Senior       Full-time    In-person
## 4161            United States           Senior       Full-time    In-person
## 4162            United States           Senior       Full-time    In-person
## 4163            United States           Senior       Full-time    In-person
## 4164            United States           Senior       Full-time    In-person
## 4165            United States           Senior       Full-time    In-person
## 4166            United States           Senior       Full-time    In-person
## 4167            United States        Mid-level       Full-time       Remote
## 4168            United States        Mid-level       Full-time       Remote
## 4169            United States      Entry-level       Full-time    In-person
## 4170            United States      Entry-level       Full-time    In-person
## 4171            United States           Senior       Full-time    In-person
## 4172            United States           Senior       Full-time    In-person
## 4173            United States           Senior       Full-time       Remote
## 4174            United States           Senior       Full-time       Remote
## 4175            United States           Senior       Full-time    In-person
## 4176            United States           Senior       Full-time    In-person
## 4177            United States           Senior       Full-time    In-person
## 4178            United States           Senior       Full-time    In-person
## 4179            United States           Senior       Full-time       Remote
## 4180            United States           Senior       Full-time       Remote
## 4181            United States           Senior       Full-time       Remote
## 4182            United States           Senior       Full-time       Remote
## 4183            United States           Senior       Full-time       Remote
## 4184            United States           Senior       Full-time       Remote
## 4185            United States           Senior       Full-time    In-person
## 4186            United States           Senior       Full-time    In-person
## 4187            United States           Senior       Full-time    In-person
## 4188            United States           Senior       Full-time    In-person
## 4189            United States           Senior       Full-time       Remote
## 4190            United States           Senior       Full-time       Remote
## 4191            United States        Mid-level       Full-time       Remote
## 4192            United States        Mid-level       Full-time       Remote
## 4193            United States           Senior       Full-time       Remote
## 4194            United States           Senior       Full-time       Remote
## 4195                   Turkey           Senior       Full-time       Remote
## 4196            United States           Senior       Full-time    In-person
## 4197            United States           Senior       Full-time    In-person
## 4198            United States        Mid-level       Full-time    In-person
## 4199            United States        Mid-level       Full-time    In-person
## 4200            United States      Entry-level       Full-time       Remote
## 4201            United States      Entry-level       Full-time       Remote
## 4202            United States        Executive       Full-time       Remote
## 4203            United States        Executive       Full-time       Remote
## 4204            United States           Senior       Full-time    In-person
## 4205            United States           Senior       Full-time    In-person
## 4206            United States           Senior       Full-time       Remote
## 4207            United States           Senior       Full-time       Remote
## 4208            United States        Mid-level       Full-time    In-person
## 4209            United States        Mid-level       Full-time    In-person
## 4210                   France        Mid-level       Full-time       Remote
## 4211                   France        Mid-level       Full-time       Remote
## 4212            United States        Mid-level       Full-time    In-person
## 4213            United States        Mid-level       Full-time    In-person
## 4214            United States           Senior       Full-time       Remote
## 4215            United States           Senior       Full-time       Remote
## 4216            United States           Senior       Full-time    In-person
## 4217            United States           Senior       Full-time    In-person
## 4218            United States           Senior       Full-time    In-person
## 4219            United States           Senior       Full-time    In-person
## 4220            United States           Senior       Full-time    In-person
## 4221            United States           Senior       Full-time    In-person
## 4222            United States      Entry-level       Full-time    In-person
## 4223            United States      Entry-level       Full-time    In-person
## 4224            United States      Entry-level       Full-time    In-person
## 4225            United States      Entry-level       Full-time    In-person
## 4226            United States           Senior       Full-time       Remote
## 4227            United States           Senior       Full-time       Remote
## 4228            United States           Senior       Full-time       Remote
## 4229            United States           Senior       Full-time       Remote
## 4230            United States        Mid-level       Full-time    In-person
## 4231            United States        Mid-level       Full-time    In-person
## 4232            United States        Executive       Full-time       Remote
## 4233            United States           Senior       Full-time    In-person
## 4234            United States           Senior       Full-time    In-person
## 4235            United States           Senior       Full-time    In-person
## 4236            United States           Senior       Full-time    In-person
## 4237            United States           Senior       Full-time       Remote
## 4238            United States           Senior       Full-time       Remote
## 4239            United States           Senior       Full-time    In-person
## 4240            United States           Senior       Full-time    In-person
## 4241            United States           Senior       Full-time       Remote
## 4242            United States           Senior       Full-time       Remote
## 4243            United States        Executive       Full-time    In-person
## 4244            United States        Executive       Full-time    In-person
## 4245            United States           Senior       Full-time    In-person
## 4246            United States           Senior       Full-time    In-person
## 4247            United States           Senior       Full-time    In-person
## 4248            United States           Senior       Full-time    In-person
## 4249                 Portugal      Entry-level       Full-time       Hybrid
## 4250            United States           Senior       Full-time       Remote
## 4251            United States           Senior       Full-time       Remote
## 4252            United States           Senior       Full-time    In-person
## 4253            United States           Senior       Full-time    In-person
## 4254            United States           Senior       Full-time    In-person
## 4255            United States           Senior       Full-time    In-person
## 4256            United States           Senior       Full-time    In-person
## 4257            United States           Senior       Full-time    In-person
## 4258            United States           Senior       Full-time       Remote
## 4259            United States           Senior       Full-time       Remote
## 4260                  Germany           Senior       Full-time       Remote
## 4261                  Germany           Senior       Full-time       Remote
## 4262            United States        Mid-level       Full-time    In-person
## 4263            United States        Mid-level       Full-time    In-person
## 4264           United Kingdom      Entry-level       Full-time    In-person
## 4265           United Kingdom      Entry-level       Full-time    In-person
## 4266            United States           Senior       Full-time    In-person
## 4267            United States           Senior       Full-time    In-person
## 4268            United States           Senior       Full-time    In-person
## 4269            United States           Senior       Full-time    In-person
## 4270            United States           Senior       Full-time    In-person
## 4271            United States           Senior       Full-time    In-person
## 4272            United States           Senior       Full-time       Remote
## 4273            United States           Senior       Full-time       Remote
## 4274            United States           Senior       Full-time    In-person
## 4275            United States           Senior       Full-time    In-person
## 4276            United States           Senior       Full-time    In-person
## 4277            United States           Senior       Full-time    In-person
## 4278            United States        Mid-level       Full-time    In-person
## 4279            United States        Mid-level       Full-time    In-person
## 4280            United States           Senior       Full-time    In-person
## 4281            United States           Senior       Full-time    In-person
## 4282            United States           Senior       Full-time    In-person
## 4283            United States           Senior       Full-time    In-person
## 4284            United States           Senior       Full-time    In-person
## 4285            United States           Senior       Full-time    In-person
## 4286            United States           Senior       Full-time    In-person
## 4287            United States           Senior       Full-time    In-person
## 4288            United States        Mid-level       Full-time    In-person
## 4289            United States        Mid-level       Full-time    In-person
## 4290            United States           Senior       Full-time       Remote
## 4291            United States           Senior       Full-time       Remote
## 4292            United States      Entry-level       Full-time    In-person
## 4293            United States      Entry-level       Full-time    In-person
## 4294            United States           Senior       Full-time       Remote
## 4295            United States           Senior       Full-time       Remote
## 4296            United States           Senior       Full-time    In-person
## 4297            United States           Senior       Full-time    In-person
## 4298            United States           Senior       Full-time    In-person
## 4299            United States           Senior       Full-time    In-person
## 4300            United States           Senior       Full-time       Remote
## 4301            United States           Senior       Full-time       Remote
## 4302            United States        Mid-level       Full-time    In-person
## 4303            United States        Mid-level       Full-time    In-person
## 4304                   Brazil           Senior       Full-time       Hybrid
## 4305                  Belgium        Executive       Full-time       Remote
## 4306            United States        Mid-level       Full-time    In-person
## 4307            United States        Mid-level       Full-time    In-person
## 4308            United States           Senior       Full-time    In-person
## 4309            United States           Senior       Full-time    In-person
## 4310            United States           Senior       Full-time    In-person
## 4311            United States           Senior       Full-time    In-person
## 4312            United States           Senior       Full-time    In-person
## 4313            United States           Senior       Full-time    In-person
## 4314            United States           Senior       Full-time    In-person
## 4315            United States           Senior       Full-time    In-person
## 4316            United States           Senior       Full-time    In-person
## 4317            United States           Senior       Full-time    In-person
## 4318            United States           Senior       Full-time    In-person
## 4319            United States           Senior       Full-time    In-person
## 4320            United States           Senior       Full-time    In-person
## 4321            United States           Senior       Full-time    In-person
## 4322            United States        Executive       Full-time    In-person
## 4323            United States        Executive       Full-time    In-person
## 4324            United States           Senior       Full-time    In-person
## 4325            United States           Senior       Full-time    In-person
## 4326            United States           Senior       Full-time    In-person
## 4327            United States           Senior       Full-time    In-person
## 4328            United States           Senior       Full-time    In-person
## 4329            United States           Senior       Full-time    In-person
## 4330            United States           Senior       Full-time    In-person
## 4331            United States           Senior       Full-time    In-person
## 4332            United States           Senior       Full-time    In-person
## 4333            United States           Senior       Full-time    In-person
## 4334            United States           Senior       Full-time       Remote
## 4335            United States           Senior       Full-time       Remote
## 4336            United States           Senior       Full-time    In-person
## 4337            United States           Senior       Full-time    In-person
## 4338           United Kingdom           Senior       Full-time       Remote
## 4339           United Kingdom           Senior       Full-time       Remote
## 4340            United States           Senior       Full-time    In-person
## 4341            United States           Senior       Full-time    In-person
## 4342            United States           Senior       Full-time    In-person
## 4343            United States           Senior       Full-time    In-person
## 4344            United States           Senior       Full-time    In-person
## 4345            United States           Senior       Full-time    In-person
## 4346            United States           Senior       Full-time    In-person
## 4347            United States           Senior       Full-time    In-person
## 4348            United States           Senior       Full-time       Remote
## 4349            United States           Senior       Full-time       Remote
## 4350            United States           Senior       Full-time       Remote
## 4351            United States           Senior       Full-time       Remote
## 4352            United States           Senior       Full-time    In-person
## 4353            United States           Senior       Full-time    In-person
## 4354            United States           Senior       Full-time    In-person
## 4355            United States           Senior       Full-time    In-person
## 4356            United States           Senior       Full-time    In-person
## 4357            United States           Senior       Full-time    In-person
## 4358            United States           Senior       Full-time       Remote
## 4359            United States           Senior       Full-time       Remote
## 4360            United States           Senior       Full-time       Remote
## 4361            United States           Senior       Full-time    In-person
## 4362            United States           Senior       Full-time    In-person
## 4363            United States           Senior       Full-time    In-person
## 4364            United States           Senior       Full-time    In-person
## 4365            United States           Senior       Full-time    In-person
## 4366            United States           Senior       Full-time    In-person
## 4367            United States           Senior       Full-time    In-person
## 4368            United States           Senior       Full-time    In-person
## 4369            United States           Senior       Full-time    In-person
## 4370            United States           Senior       Full-time    In-person
## 4371            United States           Senior       Full-time    In-person
## 4372            United States           Senior       Full-time    In-person
## 4373                Australia        Mid-level       Full-time    In-person
## 4374                Australia        Mid-level       Full-time    In-person
## 4375            United States           Senior       Full-time    In-person
## 4376            United States           Senior       Full-time    In-person
## 4377            United States           Senior       Full-time    In-person
## 4378            United States           Senior       Full-time    In-person
## 4379            United States           Senior       Full-time    In-person
## 4380            United States           Senior       Full-time    In-person
## 4381            United States           Senior       Full-time    In-person
## 4382            United States           Senior       Full-time    In-person
## 4383            United States           Senior       Full-time    In-person
## 4384            United States           Senior       Full-time    In-person
## 4385            United States           Senior       Full-time       Remote
## 4386            United States           Senior       Full-time       Remote
## 4387            United States           Senior       Full-time    In-person
## 4388            United States           Senior       Full-time    In-person
## 4389                   Canada        Mid-level       Full-time       Hybrid
## 4390            United States           Senior       Full-time    In-person
## 4391            United States           Senior       Full-time    In-person
## 4392            United States           Senior       Full-time    In-person
## 4393            United States           Senior       Full-time    In-person
## 4394            United States        Mid-level       Full-time    In-person
## 4395            United States        Mid-level       Full-time    In-person
## 4396            United States           Senior       Full-time    In-person
## 4397            United States           Senior       Full-time    In-person
## 4398            United States           Senior       Full-time    In-person
## 4399            United States           Senior       Full-time    In-person
## 4400            United States           Senior       Full-time    In-person
## 4401            United States           Senior       Full-time    In-person
## 4402            United States           Senior       Full-time       Remote
## 4403            United States           Senior       Full-time       Remote
## 4404            United States           Senior       Full-time    In-person
## 4405            United States           Senior       Full-time    In-person
## 4406            United States        Mid-level       Full-time       Remote
## 4407            United States        Mid-level       Full-time       Remote
## 4408            United States           Senior       Full-time    In-person
## 4409            United States           Senior       Full-time    In-person
## 4410           United Kingdom        Executive       Full-time       Remote
## 4411           United Kingdom        Executive       Full-time       Remote
## 4412            United States           Senior       Full-time    In-person
## 4413            United States           Senior       Full-time    In-person
## 4414            United States           Senior       Full-time    In-person
## 4415            United States           Senior       Full-time    In-person
## 4416            United States        Mid-level       Full-time    In-person
## 4417            United States        Mid-level       Full-time    In-person
## 4418            United States           Senior       Full-time    In-person
## 4419            United States           Senior       Full-time    In-person
## 4420                    Spain           Senior       Full-time    In-person
## 4421                    Spain           Senior       Full-time    In-person
## 4422            United States           Senior       Full-time    In-person
## 4423            United States           Senior       Full-time    In-person
## 4424            United States           Senior       Full-time    In-person
## 4425            United States           Senior       Full-time    In-person
## 4426            United States           Senior       Full-time    In-person
## 4427            United States           Senior       Full-time    In-person
## 4428           United Kingdom        Mid-level       Full-time    In-person
## 4429           United Kingdom        Mid-level       Full-time    In-person
## 4430            United States           Senior       Full-time       Remote
## 4431            United States           Senior       Full-time       Remote
## 4432            United States           Senior       Full-time    In-person
## 4433            United States           Senior       Full-time    In-person
## 4434            United States           Senior       Full-time       Remote
## 4435            United States           Senior       Full-time       Remote
## 4436            United States           Senior       Full-time       Remote
## 4437            United States           Senior       Full-time       Remote
## 4438            United States           Senior       Full-time    In-person
## 4439            United States           Senior       Full-time    In-person
## 4440            United States           Senior       Full-time       Remote
## 4441            United States           Senior       Full-time       Remote
## 4442            United States           Senior       Full-time       Remote
## 4443            United States           Senior       Full-time       Remote
## 4444            United States           Senior       Full-time    In-person
## 4445            United States           Senior       Full-time    In-person
## 4446            United States           Senior       Full-time    In-person
## 4447            United States           Senior       Full-time    In-person
## 4448            United States           Senior       Full-time    In-person
## 4449            United States           Senior       Full-time    In-person
## 4450              Switzerland      Entry-level       Full-time       Hybrid
## 4451                  Andorra        Mid-level       Full-time       Hybrid
## 4452            United States           Senior       Full-time    In-person
## 4453            United States           Senior       Full-time    In-person
## 4454            United States           Senior       Full-time    In-person
## 4455            United States           Senior       Full-time    In-person
## 4456            United States           Senior       Full-time       Remote
## 4457            United States           Senior       Full-time       Remote
## 4458            United States           Senior       Full-time       Remote
## 4459            United States           Senior       Full-time       Remote
## 4460            United States           Senior       Full-time       Remote
## 4461            United States           Senior       Full-time       Remote
## 4462            United States           Senior       Full-time    In-person
## 4463            United States           Senior       Full-time    In-person
## 4464            United States           Senior       Full-time       Remote
## 4465            United States           Senior       Full-time       Remote
## 4466            United States           Senior       Full-time    In-person
## 4467            United States           Senior       Full-time    In-person
## 4468            United States           Senior       Full-time    In-person
## 4469            United States           Senior       Full-time    In-person
## 4470            United States           Senior       Full-time       Remote
## 4471            United States           Senior       Full-time       Remote
## 4472            United States      Entry-level       Full-time    In-person
## 4473            United States      Entry-level       Full-time    In-person
## 4474           United Kingdom        Mid-level       Full-time    In-person
## 4475           United Kingdom        Mid-level       Full-time    In-person
## 4476                   France        Mid-level       Full-time       Remote
## 4477                   France        Mid-level       Full-time       Remote
## 4478                   Canada           Senior       Full-time    In-person
## 4479                   Canada           Senior       Full-time    In-person
## 4480            United States           Senior       Full-time       Remote
## 4481            United States           Senior       Full-time       Remote
## 4482                   Canada      Entry-level       Full-time       Remote
## 4483              Netherlands      Entry-level       Full-time    In-person
## 4484            United States        Executive       Full-time    In-person
## 4485            United States        Executive       Full-time    In-person
## 4486            United States      Entry-level       Full-time    In-person
## 4487            United States      Entry-level       Full-time    In-person
## 4488            United States           Senior       Full-time    In-person
## 4489            United States           Senior       Full-time    In-person
## 4490            United States           Senior       Full-time       Remote
## 4491            United States           Senior       Full-time       Remote
## 4492            United States      Entry-level       Full-time    In-person
## 4493            United States      Entry-level       Full-time    In-person
## 4494            United States        Mid-level       Full-time    In-person
## 4495            United States        Mid-level       Full-time    In-person
## 4496            United States           Senior       Full-time       Remote
## 4497            United States           Senior       Full-time       Remote
## 4498            United States           Senior       Full-time    In-person
## 4499            United States           Senior       Full-time    In-person
## 4500            United States        Mid-level       Full-time    In-person
## 4501            United States        Mid-level       Full-time    In-person
## 4502            United States           Senior       Full-time       Remote
## 4503            United States           Senior       Full-time       Remote
## 4504            United States           Senior       Full-time    In-person
## 4505            United States           Senior       Full-time    In-person
## 4506            United States           Senior       Full-time    In-person
## 4507            United States           Senior       Full-time    In-person
## 4508            United States           Senior       Full-time    In-person
## 4509            United States           Senior       Full-time    In-person
## 4510            United States           Senior       Full-time       Remote
## 4511            United States           Senior       Full-time       Remote
## 4512            United States           Senior       Full-time    In-person
## 4513            United States           Senior       Full-time    In-person
## 4514            United States           Senior       Full-time       Remote
## 4515            United States           Senior       Full-time       Remote
## 4516            United States           Senior       Full-time       Remote
## 4517            United States           Senior       Full-time       Remote
## 4518            United States           Senior       Full-time    In-person
## 4519            United States           Senior       Full-time    In-person
## 4520            United States           Senior       Full-time    In-person
## 4521            United States           Senior       Full-time    In-person
## 4522           United Kingdom           Senior       Full-time       Remote
## 4523           United Kingdom           Senior       Full-time       Remote
## 4524            United States           Senior       Full-time    In-person
## 4525            United States           Senior       Full-time    In-person
## 4526            United States           Senior       Full-time    In-person
## 4527            United States           Senior       Full-time    In-person
## 4528            United States        Mid-level       Full-time       Remote
## 4529            United States        Mid-level       Full-time       Remote
## 4530            United States           Senior       Full-time       Remote
## 4531            United States           Senior       Full-time       Remote
## 4532                  Ecuador      Entry-level       Full-time       Remote
## 4533                     Peru        Mid-level       Full-time       Remote
## 4534                   Mexico        Executive       Full-time       Remote
## 4535            United States           Senior       Full-time    In-person
## 4536            United States           Senior       Full-time    In-person
## 4537            United States           Senior       Full-time       Remote
## 4538            United States           Senior       Full-time       Remote
## 4539            United States           Senior       Full-time    In-person
## 4540            United States           Senior       Full-time    In-person
## 4541            United States           Senior       Full-time    In-person
## 4542            United States           Senior       Full-time    In-person
## 4543            United States           Senior       Full-time       Remote
## 4544            United States           Senior       Full-time       Remote
## 4545            United States           Senior       Full-time    In-person
## 4546            United States           Senior       Full-time    In-person
## 4547            United States           Senior       Full-time    In-person
## 4548            United States           Senior       Full-time    In-person
## 4549            United States           Senior       Full-time    In-person
## 4550            United States           Senior       Full-time    In-person
## 4551            United States           Senior       Full-time    In-person
## 4552            United States           Senior       Full-time    In-person
## 4553            United States           Senior       Full-time    In-person
## 4554            United States           Senior       Full-time    In-person
## 4555            United States        Executive       Full-time    In-person
## 4556            United States        Executive       Full-time    In-person
## 4557            United States           Senior       Full-time    In-person
## 4558            United States           Senior       Full-time    In-person
## 4559            United States           Senior       Full-time    In-person
## 4560            United States           Senior       Full-time    In-person
## 4561            United States           Senior       Full-time    In-person
## 4562            United States           Senior       Full-time    In-person
## 4563            United States           Senior       Full-time    In-person
## 4564            United States           Senior       Full-time    In-person
## 4565            United States           Senior       Full-time       Remote
## 4566            United States           Senior       Full-time       Remote
## 4567            United States           Senior       Full-time    In-person
## 4568            United States           Senior       Full-time    In-person
## 4569            United States           Senior       Full-time    In-person
## 4570            United States           Senior       Full-time    In-person
## 4571            United States           Senior       Full-time    In-person
## 4572            United States           Senior       Full-time    In-person
## 4573            United States           Senior       Full-time    In-person
## 4574            United States           Senior       Full-time    In-person
## 4575            United States        Executive       Full-time    In-person
## 4576            United States        Executive       Full-time    In-person
## 4577            United States           Senior       Full-time       Remote
## 4578            United States           Senior       Full-time       Remote
## 4579            United States           Senior       Full-time    In-person
## 4580            United States           Senior       Full-time    In-person
## 4581            United States           Senior       Full-time    In-person
## 4582            United States           Senior       Full-time    In-person
## 4583            United States           Senior       Full-time    In-person
## 4584            United States           Senior       Full-time    In-person
## 4585           United Kingdom        Mid-level       Full-time    In-person
## 4586           United Kingdom        Mid-level       Full-time    In-person
## 4587            United States        Mid-level       Full-time    In-person
## 4588            United States        Mid-level       Full-time    In-person
## 4589            United States           Senior       Full-time       Remote
## 4590            United States           Senior       Full-time       Remote
## 4591            United States           Senior       Full-time    In-person
## 4592            United States           Senior       Full-time    In-person
## 4593                  Germany      Entry-level       Full-time    In-person
## 4594                  Moldova           Senior       Full-time       Remote
## 4595            United States           Senior       Full-time       Remote
## 4596            United States           Senior       Full-time       Remote
## 4597            United States           Senior       Full-time       Remote
## 4598            United States           Senior       Full-time       Remote
## 4599            United States           Senior       Full-time    In-person
## 4600            United States           Senior       Full-time    In-person
## 4601            United States           Senior       Full-time       Remote
## 4602            United States           Senior       Full-time       Remote
## 4603            United States           Senior       Full-time    In-person
## 4604            United States           Senior       Full-time    In-person
## 4605            United States           Senior       Full-time    In-person
## 4606            United States           Senior       Full-time    In-person
## 4607            United States           Senior       Full-time    In-person
## 4608            United States           Senior       Full-time    In-person
## 4609            United States           Senior       Full-time    In-person
## 4610            United States           Senior       Full-time    In-person
## 4611            United States           Senior       Full-time       Remote
## 4612            United States           Senior       Full-time       Remote
## 4613            United States           Senior       Full-time    In-person
## 4614            United States           Senior       Full-time    In-person
## 4615            United States        Mid-level       Full-time    In-person
## 4616            United States        Mid-level       Full-time    In-person
## 4617            United States        Mid-level       Full-time    In-person
## 4618            United States        Mid-level       Full-time    In-person
## 4619            United States           Senior       Full-time    In-person
## 4620            United States           Senior       Full-time    In-person
## 4621                   Canada           Senior       Full-time    In-person
## 4622                   Canada           Senior       Full-time    In-person
## 4623                   Turkey      Entry-level       Full-time       Remote
## 4624            United States        Executive       Full-time       Remote
## 4625           United Kingdom        Mid-level       Full-time    In-person
## 4626           United Kingdom        Mid-level       Full-time    In-person
## 4627            United States           Senior       Full-time    In-person
## 4628            United States           Senior       Full-time    In-person
## 4629            United States           Senior       Full-time    In-person
## 4630            United States           Senior       Full-time    In-person
## 4631            United States           Senior       Full-time    In-person
## 4632            United States           Senior       Full-time    In-person
## 4633            United States           Senior       Full-time    In-person
## 4634            United States           Senior       Full-time    In-person
## 4635            United States           Senior       Full-time    In-person
## 4636            United States           Senior       Full-time    In-person
## 4637            United States           Senior       Full-time       Remote
## 4638            United States           Senior       Full-time       Remote
## 4639            United States           Senior       Full-time    In-person
## 4640            United States           Senior       Full-time    In-person
## 4641            United States           Senior       Full-time    In-person
## 4642            United States           Senior       Full-time    In-person
## 4643                   Turkey           Senior       Full-time       Remote
## 4644                  Nigeria      Entry-level       Full-time    In-person
## 4645            United States           Senior       Full-time    In-person
## 4646            United States           Senior       Full-time    In-person
## 4647            United States           Senior       Full-time    In-person
## 4648            United States           Senior       Full-time    In-person
## 4649            United States           Senior       Full-time       Remote
## 4650             Saudi Arabia        Mid-level       Full-time       Remote
## 4651                  Germany        Mid-level       Full-time       Hybrid
## 4652            United States           Senior       Full-time    In-person
## 4653            United States           Senior       Full-time    In-person
## 4654            United States           Senior       Full-time       Remote
## 4655            United States           Senior       Full-time       Remote
## 4656            United States           Senior       Full-time    In-person
## 4657            United States           Senior       Full-time    In-person
## 4658            United States        Executive       Full-time    In-person
## 4659            United States        Executive       Full-time    In-person
## 4660            United States           Senior       Full-time       Remote
## 4661            United States           Senior       Full-time       Remote
## 4662            United States           Senior       Full-time    In-person
## 4663            United States           Senior       Full-time    In-person
## 4664            United States           Senior       Full-time       Remote
## 4665            United States           Senior       Full-time       Remote
## 4666            United States           Senior       Full-time       Remote
## 4667            United States           Senior       Full-time       Remote
## 4668            United States           Senior       Full-time    In-person
## 4669            United States           Senior       Full-time    In-person
## 4670            United States           Senior       Full-time    In-person
## 4671            United States           Senior       Full-time    In-person
## 4672            United States           Senior       Full-time    In-person
## 4673            United States           Senior       Full-time    In-person
## 4674            United States           Senior       Full-time    In-person
## 4675            United States           Senior       Full-time    In-person
## 4676            United States           Senior       Full-time    In-person
## 4677            United States           Senior       Full-time    In-person
## 4678            United States           Senior       Full-time    In-person
## 4679            United States           Senior       Full-time    In-person
## 4680            United States           Senior       Full-time    In-person
## 4681            United States           Senior       Full-time    In-person
## 4682            United States           Senior       Full-time    In-person
## 4683            United States           Senior       Full-time    In-person
## 4684            United States        Mid-level       Full-time    In-person
## 4685            United States        Mid-level       Full-time    In-person
## 4686            United States      Entry-level       Full-time    In-person
## 4687            United States      Entry-level       Full-time    In-person
## 4688            United States           Senior       Full-time    In-person
## 4689            United States           Senior       Full-time    In-person
## 4690                 Colombia        Mid-level       Full-time       Remote
## 4691                 Colombia        Mid-level       Full-time       Remote
## 4692            United States           Senior       Full-time       Remote
## 4693            United States           Senior       Full-time       Remote
## 4694            United States           Senior       Full-time    In-person
## 4695            United States           Senior       Full-time    In-person
## 4696            United States           Senior       Full-time       Remote
## 4697            United States           Senior       Full-time       Remote
## 4698            United States           Senior       Full-time    In-person
## 4699            United States           Senior       Full-time    In-person
## 4700            United States           Senior       Full-time       Remote
## 4701            United States           Senior       Full-time       Remote
## 4702            United States        Mid-level       Full-time       Remote
## 4703            United States        Mid-level       Full-time       Remote
## 4704                   Canada        Mid-level       Full-time       Remote
## 4705                   Canada        Mid-level       Full-time       Remote
## 4706            United States      Entry-level       Full-time       Remote
## 4707            United States      Entry-level       Full-time       Remote
## 4708            United States        Mid-level       Full-time    In-person
## 4709            United States        Mid-level       Full-time    In-person
## 4710            United States        Mid-level       Full-time    In-person
## 4711            United States        Mid-level       Full-time    In-person
## 4712            United States           Senior       Full-time    In-person
## 4713            United States           Senior       Full-time    In-person
## 4714                Australia        Mid-level       Full-time       Remote
## 4715            United States      Entry-level       Full-time       Remote
## 4716            United States           Senior       Full-time    In-person
## 4717            United States           Senior       Full-time    In-person
## 4718            United States           Senior       Full-time    In-person
## 4719            United States           Senior       Full-time    In-person
## 4720            United States           Senior       Full-time       Remote
## 4721            United States           Senior       Full-time       Remote
## 4722            United States           Senior       Full-time    In-person
## 4723            United States           Senior       Full-time    In-person
## 4724            United States           Senior       Full-time       Remote
## 4725            United States           Senior       Full-time       Remote
## 4726            United States           Senior       Full-time    In-person
## 4727            United States           Senior       Full-time    In-person
## 4728            United States           Senior       Full-time       Remote
## 4729            United States           Senior       Full-time       Remote
## 4730            United States           Senior       Full-time    In-person
## 4731            United States           Senior       Full-time    In-person
## 4732            United States           Senior       Full-time       Remote
## 4733            United States           Senior       Full-time       Remote
## 4734            United States           Senior       Full-time    In-person
## 4735            United States           Senior       Full-time    In-person
## 4736            United States        Mid-level       Full-time    In-person
## 4737            United States        Mid-level       Full-time    In-person
## 4738            United States           Senior       Full-time    In-person
## 4739            United States           Senior       Full-time    In-person
## 4740            United States           Senior       Full-time    In-person
## 4741            United States           Senior       Full-time    In-person
## 4742            United States           Senior       Full-time    In-person
## 4743            United States           Senior       Full-time    In-person
## 4744                  Nigeria        Mid-level       Full-time       Remote
## 4745            United States           Senior       Full-time    In-person
## 4746            United States           Senior       Full-time    In-person
## 4747            United States        Mid-level       Full-time    In-person
## 4748            United States        Mid-level       Full-time    In-person
## 4749            United States           Senior       Full-time       Remote
## 4750            United States           Senior       Full-time       Remote
## 4751            United States           Senior       Full-time    In-person
## 4752            United States           Senior       Full-time    In-person
## 4753            United States           Senior       Full-time       Remote
## 4754            United States           Senior       Full-time       Remote
## 4755            United States           Senior       Full-time    In-person
## 4756            United States           Senior       Full-time    In-person
## 4757            United States           Senior       Full-time    In-person
## 4758            United States           Senior       Full-time    In-person
## 4759           United Kingdom        Mid-level       Full-time    In-person
## 4760           United Kingdom        Mid-level       Full-time    In-person
## 4761            United States           Senior       Full-time    In-person
## 4762            United States           Senior       Full-time    In-person
## 4763            United States           Senior       Full-time    In-person
## 4764            United States           Senior       Full-time    In-person
## 4765            United States           Senior       Full-time    In-person
## 4766            United States           Senior       Full-time    In-person
## 4767            United States           Senior       Full-time    In-person
## 4768            United States           Senior       Full-time    In-person
## 4769            United States           Senior       Full-time       Remote
## 4770            United States           Senior       Full-time       Remote
## 4771                    Ghana        Mid-level       Part-time       Remote
## 4772            United States           Senior       Full-time    In-person
## 4773            United States           Senior       Full-time    In-person
## 4774            United States           Senior       Full-time    In-person
## 4775            United States           Senior       Full-time    In-person
## 4776            United States           Senior       Full-time    In-person
## 4777            United States           Senior       Full-time    In-person
## 4778            United States        Mid-level       Full-time    In-person
## 4779            United States        Mid-level       Full-time    In-person
## 4780            United States           Senior       Full-time    In-person
## 4781            United States           Senior       Full-time    In-person
## 4782            United States        Mid-level       Full-time       Remote
## 4783            United States        Mid-level       Full-time       Remote
## 4784            United States           Senior       Full-time       Remote
## 4785            United States           Senior       Full-time       Remote
## 4786            United States           Senior       Full-time    In-person
## 4787            United States           Senior       Full-time    In-person
## 4788            United States           Senior       Full-time       Remote
## 4789            United States           Senior       Full-time       Remote
## 4790            United States           Senior       Full-time       Remote
## 4791            United States           Senior       Full-time       Remote
## 4792            United States           Senior       Full-time       Remote
## 4793                   Poland           Senior       Full-time       Remote
## 4794            United States           Senior       Full-time    In-person
## 4795            United States           Senior       Full-time    In-person
## 4796            United States           Senior       Full-time    In-person
## 4797            United States           Senior       Full-time    In-person
## 4798            United States           Senior       Full-time       Remote
## 4799            United States           Senior       Full-time       Remote
## 4800            United States           Senior       Full-time    In-person
## 4801            United States           Senior       Full-time    In-person
## 4802            United States        Mid-level       Full-time       Remote
## 4803            United States        Mid-level       Full-time    In-person
## 4804            United States        Mid-level       Full-time    In-person
## 4805           United Kingdom        Mid-level       Full-time    In-person
## 4806           United Kingdom        Mid-level       Full-time    In-person
## 4807            United States           Senior       Full-time    In-person
## 4808            United States           Senior       Full-time    In-person
## 4809            United States           Senior       Full-time       Remote
## 4810            United States           Senior       Full-time       Remote
## 4811            United States        Mid-level       Full-time    In-person
## 4812            United States        Mid-level       Full-time    In-person
## 4813            United States           Senior       Full-time    In-person
## 4814            United States           Senior       Full-time    In-person
## 4815            United States           Senior       Full-time       Remote
## 4816            United States           Senior       Full-time       Remote
## 4817            United States           Senior       Full-time       Remote
## 4818            United States           Senior       Full-time       Remote
## 4819                Australia        Mid-level       Full-time    In-person
## 4820                Australia        Mid-level       Full-time    In-person
## 4821           United Kingdom           Senior       Full-time    In-person
## 4822           United Kingdom           Senior       Full-time    In-person
## 4823            United States           Senior       Full-time       Remote
## 4824            United States           Senior       Full-time       Remote
## 4825            United States        Mid-level       Full-time       Remote
## 4826            United States        Mid-level       Full-time       Remote
## 4827            United States           Senior       Full-time    In-person
## 4828            United States           Senior       Full-time    In-person
## 4829            United States           Senior       Full-time    In-person
## 4830            United States           Senior       Full-time    In-person
## 4831            United States        Mid-level       Full-time    In-person
## 4832            United States        Mid-level       Full-time    In-person
## 4833            United States           Senior       Full-time    In-person
## 4834            United States           Senior       Full-time    In-person
## 4835            United States           Senior       Full-time    In-person
## 4836            United States           Senior       Full-time    In-person
## 4837            United States           Senior       Full-time    In-person
## 4838            United States           Senior       Full-time    In-person
## 4839            United States           Senior       Full-time       Remote
## 4840            United States           Senior       Full-time       Remote
## 4841            United States           Senior       Full-time    In-person
## 4842            United States           Senior       Full-time    In-person
## 4843            United States           Senior       Full-time       Remote
## 4844            United States           Senior       Full-time       Remote
## 4845            United States           Senior       Full-time       Remote
## 4846            United States           Senior       Full-time       Remote
## 4847            United States           Senior       Full-time    In-person
## 4848            United States           Senior       Full-time    In-person
## 4849            United States           Senior       Full-time    In-person
## 4850            United States           Senior       Full-time    In-person
## 4851            United States        Mid-level       Full-time       Remote
## 4852            United States        Mid-level       Full-time       Remote
## 4853           United Kingdom        Mid-level       Full-time    In-person
## 4854           United Kingdom        Mid-level       Full-time    In-person
## 4855            United States           Senior       Full-time       Remote
## 4856            United States           Senior       Full-time       Remote
## 4857           United Kingdom        Mid-level       Full-time    In-person
## 4858           United Kingdom        Mid-level       Full-time    In-person
## 4859            United States           Senior       Full-time    In-person
## 4860            United States           Senior       Full-time    In-person
## 4861            United States           Senior       Full-time    In-person
## 4862            United States           Senior       Full-time    In-person
## 4863                    India      Entry-level       Full-time       Remote
## 4864            United States           Senior       Full-time    In-person
## 4865            United States           Senior       Full-time    In-person
## 4866            United States           Senior       Full-time    In-person
## 4867            United States           Senior       Full-time    In-person
## 4868            United States        Mid-level       Full-time    In-person
## 4869            United States        Mid-level       Full-time    In-person
## 4870            United States           Senior       Full-time    In-person
## 4871            United States           Senior       Full-time    In-person
## 4872            United States           Senior       Full-time       Remote
## 4873            United States           Senior       Full-time       Remote
## 4874            United States           Senior       Full-time    In-person
## 4875            United States           Senior       Full-time    In-person
## 4876            United States           Senior       Full-time    In-person
## 4877            United States           Senior       Full-time    In-person
## 4878            United States           Senior       Full-time    In-person
## 4879            United States           Senior       Full-time    In-person
## 4880            United States           Senior       Full-time    In-person
## 4881            United States           Senior       Full-time    In-person
## 4882            United States           Senior       Full-time    In-person
## 4883            United States           Senior       Full-time    In-person
## 4884            United States           Senior       Full-time       Remote
## 4885            United States           Senior       Full-time       Remote
## 4886            United States           Senior       Full-time    In-person
## 4887            United States           Senior       Full-time    In-person
## 4888           United Kingdom           Senior       Full-time    In-person
## 4889           United Kingdom           Senior       Full-time    In-person
## 4890            United States           Senior       Full-time    In-person
## 4891            United States           Senior       Full-time    In-person
## 4892            United States           Senior       Full-time    In-person
## 4893            United States           Senior       Full-time    In-person
## 4894           United Kingdom      Entry-level       Full-time       Remote
## 4895            United States           Senior       Full-time    In-person
## 4896            United States           Senior       Full-time    In-person
## 4897            United States        Mid-level        Contract       Remote
## 4898            United States        Mid-level        Contract       Remote
## 4899            United States      Entry-level       Full-time       Remote
## 4900            United States      Entry-level       Full-time       Remote
## 4901            United States           Senior       Full-time       Remote
## 4902            United States           Senior       Full-time       Remote
## 4903            United States        Mid-level       Full-time    In-person
## 4904            United States        Mid-level       Full-time    In-person
## 4905            United States           Senior       Full-time       Remote
## 4906            United States           Senior       Full-time       Remote
## 4907           United Kingdom           Senior       Full-time    In-person
## 4908           United Kingdom           Senior       Full-time    In-person
## 4909           United Kingdom           Senior       Full-time    In-person
## 4910           United Kingdom           Senior       Full-time    In-person
## 4911            United States           Senior       Full-time       Remote
## 4912            United States           Senior       Full-time       Remote
## 4913            United States           Senior       Full-time       Remote
## 4914            United States           Senior       Full-time       Remote
## 4915            United States           Senior       Full-time    In-person
## 4916            United States           Senior       Full-time    In-person
## 4917            United States           Senior       Full-time    In-person
## 4918            United States           Senior       Full-time    In-person
## 4919            United States        Executive       Full-time    In-person
## 4920            United States        Executive       Full-time    In-person
## 4921            United States           Senior       Full-time    In-person
## 4922            United States           Senior       Full-time    In-person
## 4923           United Kingdom           Senior       Full-time       Remote
## 4924           United Kingdom           Senior       Full-time       Remote
## 4925            United States           Senior       Full-time    In-person
## 4926            United States           Senior       Full-time    In-person
## 4927                   France           Senior       Full-time    In-person
## 4928                   France           Senior       Full-time    In-person
## 4929            United States      Entry-level       Full-time       Remote
## 4930            United States      Entry-level       Full-time       Remote
## 4931            United States           Senior       Full-time    In-person
## 4932            United States           Senior       Full-time    In-person
## 4933            United States           Senior       Full-time       Remote
## 4934            United States           Senior       Full-time       Remote
## 4935           United Kingdom        Mid-level       Full-time    In-person
## 4936           United Kingdom        Mid-level       Full-time    In-person
## 4937            United States           Senior       Full-time    In-person
## 4938            United States           Senior       Full-time    In-person
## 4939           United Kingdom           Senior       Full-time       Hybrid
## 4940                    Spain      Entry-level       Full-time       Remote
## 4941            United States           Senior       Full-time    In-person
## 4942            United States           Senior       Full-time    In-person
## 4943            United States           Senior       Full-time    In-person
## 4944            United States           Senior       Full-time    In-person
## 4945            United States           Senior       Full-time       Remote
## 4946            United States           Senior       Full-time       Remote
## 4947            United States           Senior       Full-time    In-person
## 4948            United States           Senior       Full-time    In-person
## 4949            United States           Senior       Full-time    In-person
## 4950            United States           Senior       Full-time    In-person
## 4951            United States           Senior       Full-time       Remote
## 4952            United States           Senior       Full-time       Remote
## 4953            United States           Senior       Full-time    In-person
## 4954            United States           Senior       Full-time    In-person
## 4955            United States           Senior       Full-time       Remote
## 4956            United States           Senior       Full-time       Remote
## 4957            United States           Senior       Full-time       Remote
## 4958            United States           Senior       Full-time       Remote
## 4959            United States           Senior       Full-time    In-person
## 4960            United States           Senior       Full-time    In-person
## 4961            United States        Mid-level       Full-time    In-person
## 4962            United States        Mid-level       Full-time    In-person
## 4963                   Canada           Senior       Full-time       Remote
## 4964                   Canada           Senior       Full-time       Remote
## 4965                    Spain           Senior       Full-time    In-person
## 4966                    Spain           Senior       Full-time    In-person
## 4967            United States           Senior       Full-time       Remote
## 4968            United States           Senior       Full-time       Remote
## 4969            United States           Senior       Full-time    In-person
## 4970            United States           Senior       Full-time    In-person
## 4971            United States           Senior       Full-time    In-person
## 4972            United States           Senior       Full-time    In-person
## 4973            United States           Senior       Full-time       Remote
## 4974            United States           Senior       Full-time       Remote
## 4975            United States           Senior       Full-time    In-person
## 4976            United States           Senior       Full-time    In-person
## 4977           United Kingdom        Mid-level       Full-time       Hybrid
## 4978            United States        Executive       Full-time       Remote
## 4979            United States        Executive       Full-time       Remote
## 4980            United States        Mid-level       Full-time       Remote
## 4981            United States        Mid-level       Full-time       Remote
## 4982            United States        Mid-level       Full-time       Remote
## 4983            United States        Mid-level       Full-time       Remote
## 4984            United States           Senior       Full-time       Remote
## 4985            United States           Senior       Full-time       Remote
## 4986            United States           Senior       Full-time    In-person
## 4987            United States           Senior       Full-time    In-person
## 4988            United States           Senior       Full-time    In-person
## 4989            United States           Senior       Full-time    In-person
## 4990            United States           Senior       Full-time       Remote
## 4991            United States           Senior       Full-time       Remote
## 4992            United States           Senior       Full-time    In-person
## 4993            United States           Senior       Full-time    In-person
## 4994            United States           Senior       Full-time       Remote
## 4995            United States           Senior       Full-time       Remote
## 4996            United States           Senior       Full-time       Remote
## 4997            United States           Senior       Full-time       Remote
## 4998            United States           Senior       Full-time       Remote
## 4999            United States           Senior       Full-time       Remote
## 5000           United Kingdom           Senior       Full-time    In-person
## 5001           United Kingdom           Senior       Full-time    In-person
## 5002            United States           Senior       Full-time       Remote
## 5003            United States           Senior       Full-time       Remote
## 5004            United States      Entry-level       Full-time       Remote
## 5005           United Kingdom           Senior       Full-time    In-person
## 5006           United Kingdom           Senior       Full-time    In-person
## 5007            United States           Senior       Full-time    In-person
## 5008            United States           Senior       Full-time    In-person
## 5009            United States           Senior       Full-time    In-person
## 5010            United States           Senior       Full-time    In-person
## 5011            United States           Senior       Full-time    In-person
## 5012            United States           Senior       Full-time    In-person
## 5013            United States           Senior       Full-time    In-person
## 5014            United States           Senior       Full-time    In-person
## 5015            United States           Senior       Full-time       Remote
## 5016            United States           Senior       Full-time       Remote
## 5017            United States           Senior       Full-time       Remote
## 5018            United States           Senior       Full-time       Remote
## 5019            United States           Senior       Full-time    In-person
## 5020            United States           Senior       Full-time    In-person
## 5021            United States           Senior       Full-time    In-person
## 5022            United States           Senior       Full-time    In-person
## 5023            United States           Senior       Full-time    In-person
## 5024            United States           Senior       Full-time    In-person
## 5025            United States           Senior       Full-time    In-person
## 5026            United States           Senior       Full-time    In-person
## 5027            United States           Senior       Full-time       Remote
## 5028            United States           Senior       Full-time       Remote
## 5029            United States        Mid-level       Full-time    In-person
## 5030            United States        Mid-level       Full-time    In-person
## 5031            United States        Executive       Full-time       Remote
## 5032            United States        Executive       Full-time       Remote
## 5033            United States           Senior       Full-time       Remote
## 5034            United States           Senior       Full-time       Remote
## 5035            United States           Senior       Full-time    In-person
## 5036            United States           Senior       Full-time    In-person
## 5037            United States           Senior       Full-time    In-person
## 5038            United States           Senior       Full-time    In-person
## 5039            United States        Mid-level       Full-time       Remote
## 5040            United States        Mid-level       Full-time       Remote
## 5041            United States           Senior       Full-time    In-person
## 5042            United States           Senior       Full-time    In-person
## 5043            United States           Senior       Full-time    In-person
## 5044            United States           Senior       Full-time    In-person
## 5045                   Canada           Senior       Full-time    In-person
## 5046                   Canada           Senior       Full-time    In-person
## 5047            United States           Senior       Full-time    In-person
## 5048            United States           Senior       Full-time    In-person
## 5049            United States           Senior       Full-time    In-person
## 5050            United States           Senior       Full-time    In-person
## 5051            United States           Senior       Full-time       Remote
## 5052            United States           Senior       Full-time       Remote
## 5053            United States           Senior       Full-time       Remote
## 5054            United States           Senior       Full-time       Remote
## 5055            United States           Senior       Full-time    In-person
## 5056            United States           Senior       Full-time    In-person
## 5057            United States           Senior       Full-time       Remote
## 5058            United States           Senior       Full-time       Remote
## 5059            United States           Senior       Full-time    In-person
## 5060            United States           Senior       Full-time    In-person
## 5061            United States        Mid-level       Full-time       Remote
## 5062            United States        Mid-level       Full-time       Remote
## 5063            United States        Mid-level       Full-time    In-person
## 5064            United States        Mid-level       Full-time    In-person
## 5065            United States        Mid-level       Full-time       Remote
## 5066            United States           Senior       Full-time    In-person
## 5067            United States           Senior       Full-time    In-person
## 5068            United States           Senior       Full-time       Remote
## 5069            United States           Senior       Full-time       Remote
## 5070            United States           Senior       Full-time    In-person
## 5071            United States           Senior       Full-time    In-person
## 5072            United States           Senior       Full-time       Remote
## 5073            United States           Senior       Full-time       Remote
## 5074           United Kingdom           Senior       Full-time    In-person
## 5075           United Kingdom           Senior       Full-time    In-person
## 5076            United States           Senior       Full-time    In-person
## 5077            United States           Senior       Full-time    In-person
## 5078            United States           Senior       Full-time    In-person
## 5079            United States           Senior       Full-time    In-person
## 5080            United States           Senior       Full-time    In-person
## 5081            United States           Senior       Full-time    In-person
## 5082            United States           Senior       Full-time    In-person
## 5083            United States           Senior       Full-time    In-person
## 5084            United States        Mid-level       Full-time    In-person
## 5085            United States        Mid-level       Full-time    In-person
## 5086            United States           Senior       Full-time    In-person
## 5087            United States           Senior       Full-time    In-person
## 5088            United States           Senior       Full-time    In-person
## 5089            United States           Senior       Full-time    In-person
## 5090            United States           Senior       Full-time    In-person
## 5091            United States           Senior       Full-time    In-person
## 5092                    Spain        Mid-level       Full-time       Remote
## 5093                    Spain        Mid-level       Full-time       Remote
## 5094            United States        Executive       Full-time    In-person
## 5095            United States        Executive       Full-time    In-person
## 5096            United States           Senior       Full-time    In-person
## 5097            United States           Senior       Full-time    In-person
## 5098            United States           Senior       Full-time    In-person
## 5099            United States           Senior       Full-time    In-person
## 5100           United Kingdom        Mid-level       Full-time       Remote
## 5101           United Kingdom        Mid-level       Full-time       Remote
## 5102            United States           Senior       Full-time    In-person
## 5103            United States           Senior       Full-time    In-person
## 5104            United States        Executive       Full-time       Remote
## 5105            United States        Executive       Full-time       Remote
## 5106            United States        Mid-level       Full-time    In-person
## 5107            United States        Mid-level       Full-time    In-person
## 5108            United States           Senior       Full-time    In-person
## 5109            United States           Senior       Full-time    In-person
## 5110            United States        Executive       Full-time       Remote
## 5111            United States        Executive       Full-time       Remote
## 5112            United States        Mid-level       Full-time    In-person
## 5113            United States        Mid-level       Full-time    In-person
## 5114            United States      Entry-level       Full-time       Remote
## 5115            United States           Senior       Full-time       Remote
## 5116            United States           Senior       Full-time       Remote
## 5117            United States           Senior       Full-time    In-person
## 5118            United States           Senior       Full-time    In-person
## 5119            United States           Senior       Full-time       Remote
## 5120            United States           Senior       Full-time       Remote
## 5121            United States        Mid-level       Full-time       Remote
## 5122            United States        Mid-level       Full-time       Remote
## 5123            United States        Executive       Full-time       Remote
## 5124            United States        Executive       Full-time       Remote
## 5125            United States           Senior       Full-time    In-person
## 5126            United States           Senior       Full-time    In-person
## 5127            United States        Mid-level       Full-time       Remote
## 5128            United States        Mid-level       Full-time       Remote
## 5129            United States           Senior       Full-time    In-person
## 5130            United States           Senior       Full-time    In-person
## 5131            United States           Senior       Full-time    In-person
## 5132            United States           Senior       Full-time    In-person
## 5133            United States           Senior       Full-time    In-person
## 5134            United States           Senior       Full-time    In-person
## 5135           United Kingdom        Mid-level       Full-time    In-person
## 5136           United Kingdom        Mid-level       Full-time    In-person
## 5137            United States        Executive       Full-time    In-person
## 5138            United States        Executive       Full-time    In-person
## 5139            United States        Executive       Full-time    In-person
## 5140            United States        Executive       Full-time    In-person
## 5141            United States           Senior       Full-time    In-person
## 5142            United States           Senior       Full-time    In-person
## 5143                    Spain           Senior       Full-time    In-person
## 5144                    Spain           Senior       Full-time    In-person
## 5145            United States           Senior       Full-time    In-person
## 5146            United States           Senior       Full-time    In-person
## 5147            United States           Senior       Full-time       Remote
## 5148            United States           Senior       Full-time       Remote
## 5149            United States           Senior       Full-time    In-person
## 5150            United States           Senior       Full-time    In-person
## 5151            United States           Senior       Full-time    In-person
## 5152            United States           Senior       Full-time    In-person
## 5153            United States           Senior       Full-time    In-person
## 5154            United States           Senior       Full-time    In-person
## 5155                   Canada           Senior       Full-time    In-person
## 5156                   Canada           Senior       Full-time    In-person
## 5157            United States           Senior       Full-time       Remote
## 5158            United States           Senior       Full-time       Remote
## 5159            United States           Senior       Full-time       Remote
## 5160            United States           Senior       Full-time       Remote
## 5161            United States        Mid-level       Full-time       Remote
## 5162            United States        Mid-level       Full-time       Remote
## 5163            United States           Senior       Full-time       Remote
## 5164            United States           Senior       Full-time       Remote
## 5165            United States           Senior       Full-time       Remote
## 5166            United States           Senior       Full-time       Remote
## 5167           United Kingdom           Senior       Full-time    In-person
## 5168           United Kingdom           Senior       Full-time    In-person
## 5169            United States        Mid-level       Full-time    In-person
## 5170            United States        Mid-level       Full-time    In-person
## 5171            United States           Senior       Full-time       Remote
## 5172            United States           Senior       Full-time       Remote
## 5173            United States           Senior       Full-time       Remote
## 5174            United States           Senior       Full-time       Remote
## 5175            United States           Senior       Full-time    In-person
## 5176            United States           Senior       Full-time    In-person
## 5177            United States           Senior       Full-time       Remote
## 5178            United States           Senior       Full-time       Remote
## 5179            United States           Senior       Full-time    In-person
## 5180            United States           Senior       Full-time    In-person
## 5181            United States        Mid-level       Full-time    In-person
## 5182            United States        Mid-level       Full-time    In-person
## 5183            United States           Senior       Full-time       Remote
## 5184            United States           Senior       Full-time       Remote
## 5185            United States           Senior       Full-time    In-person
## 5186            United States           Senior       Full-time    In-person
## 5187            United States           Senior       Full-time    In-person
## 5188            United States           Senior       Full-time    In-person
## 5189            United States           Senior       Full-time       Remote
## 5190            United States           Senior       Full-time       Remote
## 5191            United States           Senior       Full-time       Remote
## 5192            United States           Senior       Full-time       Remote
## 5193           United Kingdom        Mid-level       Full-time    In-person
## 5194           United Kingdom        Mid-level       Full-time    In-person
## 5195            United States           Senior       Full-time       Remote
## 5196            United States           Senior       Full-time       Remote
## 5197            United States           Senior       Full-time       Remote
## 5198            United States           Senior       Full-time       Remote
## 5199            United States           Senior       Full-time       Remote
## 5200            United States           Senior       Full-time       Remote
## 5201            United States           Senior       Full-time    In-person
## 5202            United States           Senior       Full-time    In-person
## 5203            United States           Senior       Full-time    In-person
## 5204            United States           Senior       Full-time    In-person
## 5205            United States           Senior       Full-time       Remote
## 5206            United States           Senior       Full-time       Remote
## 5207            United States           Senior       Full-time       Remote
## 5208            United States           Senior       Full-time       Remote
## 5209            United States           Senior       Full-time    In-person
## 5210            United States           Senior       Full-time    In-person
## 5211            United States           Senior       Full-time       Remote
## 5212            United States           Senior       Full-time       Remote
## 5213            United States           Senior       Full-time    In-person
## 5214            United States           Senior       Full-time    In-person
## 5215            United States           Senior       Full-time       Remote
## 5216            United States           Senior       Full-time       Remote
## 5217           United Kingdom           Senior       Full-time    In-person
## 5218           United Kingdom           Senior       Full-time    In-person
## 5219            United States           Senior       Full-time    In-person
## 5220            United States           Senior       Full-time    In-person
## 5221            United States        Executive       Full-time    In-person
## 5222            United States        Executive       Full-time    In-person
## 5223            United States        Mid-level       Full-time    In-person
## 5224            United States        Mid-level       Full-time    In-person
## 5225            United States           Senior       Full-time       Remote
## 5226            United States           Senior       Full-time       Remote
## 5227            United States           Senior       Full-time       Remote
## 5228            United States           Senior       Full-time       Remote
## 5229            United States           Senior       Full-time       Remote
## 5230            United States           Senior       Full-time       Remote
## 5231            United States           Senior       Full-time       Remote
## 5232            United States           Senior       Full-time       Remote
## 5233            United States           Senior       Full-time       Remote
## 5234            United States           Senior       Full-time       Remote
## 5235            United States           Senior       Full-time    In-person
## 5236            United States           Senior       Full-time    In-person
## 5237            United States           Senior       Full-time    In-person
## 5238            United States           Senior       Full-time    In-person
## 5239            United States           Senior       Full-time    In-person
## 5240            United States           Senior       Full-time    In-person
## 5241            United States        Mid-level       Full-time    In-person
## 5242            United States        Mid-level       Full-time    In-person
## 5243            United States        Mid-level       Full-time    In-person
## 5244            United States        Mid-level       Full-time    In-person
## 5245            United States      Entry-level       Full-time       Remote
## 5246            United States      Entry-level       Full-time       Remote
## 5247            United States           Senior       Full-time    In-person
## 5248            United States           Senior       Full-time    In-person
## 5249            United States        Mid-level       Full-time    In-person
## 5250            United States        Mid-level       Full-time    In-person
## 5251            United States        Mid-level       Full-time    In-person
## 5252            United States        Mid-level       Full-time    In-person
## 5253            United States           Senior       Full-time       Remote
## 5254            United States           Senior       Full-time       Remote
## 5255           United Kingdom        Executive       Full-time    In-person
## 5256           United Kingdom        Executive       Full-time    In-person
## 5257           United Kingdom        Executive       Full-time       Remote
## 5258           United Kingdom        Executive       Full-time       Remote
## 5259            United States           Senior       Full-time    In-person
## 5260            United States           Senior       Full-time    In-person
## 5261            United States        Executive       Full-time    In-person
## 5262            United States        Executive       Full-time    In-person
## 5263            United States           Senior       Full-time    In-person
## 5264            United States           Senior       Full-time    In-person
## 5265            United States      Entry-level       Full-time    In-person
## 5266            United States      Entry-level       Full-time    In-person
## 5267            United States           Senior       Full-time    In-person
## 5268            United States           Senior       Full-time    In-person
## 5269            United States           Senior       Full-time    In-person
## 5270            United States           Senior       Full-time    In-person
## 5271            United States      Entry-level       Full-time       Remote
## 5272            United States      Entry-level       Full-time       Remote
## 5273            United States           Senior       Full-time    In-person
## 5274            United States           Senior       Full-time    In-person
## 5275            United States           Senior       Full-time    In-person
## 5276            United States           Senior       Full-time    In-person
## 5277            United States           Senior       Full-time       Remote
## 5278            United States           Senior       Full-time       Remote
## 5279            United States           Senior       Full-time       Remote
## 5280            United States           Senior       Full-time       Remote
## 5281            United States           Senior       Full-time       Remote
## 5282            United States           Senior       Full-time       Remote
## 5283            United States           Senior       Full-time       Remote
## 5284            United States           Senior       Full-time       Remote
## 5285           United Kingdom           Senior       Full-time    In-person
## 5286           United Kingdom           Senior       Full-time    In-person
## 5287            United States           Senior       Full-time       Remote
## 5288            United States           Senior       Full-time       Remote
## 5289            United States           Senior       Full-time    In-person
## 5290            United States           Senior       Full-time    In-person
## 5291            United States           Senior       Full-time    In-person
## 5292            United States           Senior       Full-time    In-person
## 5293            United States           Senior       Full-time       Remote
## 5294            United States           Senior       Full-time       Remote
## 5295                    Ghana        Mid-level       Freelance    In-person
## 5296            United States           Senior       Full-time    In-person
## 5297            United States           Senior       Full-time    In-person
## 5298            United States           Senior       Full-time       Remote
## 5299            United States           Senior       Full-time       Remote
## 5300            United States           Senior       Full-time    In-person
## 5301            United States           Senior       Full-time    In-person
## 5302                Argentina           Senior       Full-time       Remote
## 5303                Argentina           Senior       Full-time       Remote
## 5304            United States           Senior       Full-time    In-person
## 5305            United States           Senior       Full-time    In-person
## 5306                   Canada           Senior       Full-time    In-person
## 5307                   Canada           Senior       Full-time    In-person
## 5308            United States           Senior       Full-time    In-person
## 5309            United States           Senior       Full-time    In-person
## 5310            United States           Senior       Full-time       Remote
## 5311            United States           Senior       Full-time       Remote
## 5312            United States           Senior       Full-time    In-person
## 5313            United States           Senior       Full-time    In-person
## 5314            United States           Senior       Full-time       Remote
## 5315            United States           Senior       Full-time       Remote
## 5316            United States           Senior       Full-time    In-person
## 5317            United States           Senior       Full-time    In-person
## 5318            United States        Mid-level       Full-time    In-person
## 5319            United States        Mid-level       Full-time    In-person
## 5320           United Kingdom           Senior       Full-time       Remote
## 5321           United Kingdom           Senior       Full-time       Remote
## 5322            United States           Senior       Full-time    In-person
## 5323            United States           Senior       Full-time    In-person
## 5324            United States           Senior       Full-time    In-person
## 5325            United States           Senior       Full-time    In-person
## 5326             Saudi Arabia        Mid-level       Full-time       Remote
## 5327                    India        Mid-level       Full-time    In-person
## 5328            United States           Senior       Full-time    In-person
## 5329            United States           Senior       Full-time    In-person
## 5330            United States        Mid-level       Full-time       Remote
## 5331            United States           Senior       Full-time    In-person
## 5332            United States           Senior       Full-time    In-person
## 5333            United States           Senior       Full-time       Remote
## 5334            United States           Senior       Full-time       Remote
## 5335            United States           Senior       Full-time    In-person
## 5336            United States           Senior       Full-time    In-person
## 5337            United States           Senior       Full-time    In-person
## 5338            United States           Senior       Full-time    In-person
## 5339            United States           Senior       Full-time    In-person
## 5340            United States           Senior       Full-time    In-person
## 5341            United States           Senior       Full-time    In-person
## 5342            United States           Senior       Full-time    In-person
## 5343                Australia        Mid-level       Full-time    In-person
## 5344                Australia        Mid-level       Full-time    In-person
## 5345            United States           Senior       Full-time       Remote
## 5346            United States           Senior       Full-time       Remote
## 5347            United States           Senior       Full-time    In-person
## 5348            United States           Senior       Full-time    In-person
## 5349            United States        Mid-level       Full-time    In-person
## 5350            United States        Mid-level       Full-time    In-person
## 5351            United States           Senior       Full-time    In-person
## 5352            United States           Senior       Full-time    In-person
## 5353            United States           Senior       Full-time    In-person
## 5354            United States           Senior       Full-time    In-person
## 5355            United States      Entry-level        Contract       Hybrid
## 5356                  Germany           Senior       Full-time    In-person
## 5357                  Germany           Senior       Full-time    In-person
## 5358            United States           Senior       Full-time       Remote
## 5359            United States           Senior       Full-time       Remote
## 5360            United States           Senior       Full-time       Remote
## 5361            United States           Senior       Full-time       Remote
## 5362            United States           Senior       Full-time       Remote
## 5363            United States           Senior       Full-time       Remote
## 5364           United Kingdom        Mid-level       Full-time    In-person
## 5365           United Kingdom        Mid-level       Full-time    In-person
## 5366            United States           Senior       Full-time       Remote
## 5367            United States           Senior       Full-time       Remote
## 5368            United States           Senior       Full-time    In-person
## 5369            United States           Senior       Full-time    In-person
## 5370            United States           Senior       Full-time    In-person
## 5371            United States           Senior       Full-time    In-person
## 5372           United Kingdom        Executive       Full-time       Remote
## 5373           United Kingdom        Executive       Full-time       Remote
## 5374            United States        Mid-level       Full-time    In-person
## 5375            United States        Mid-level       Full-time    In-person
## 5376            United States        Mid-level       Full-time       Remote
## 5377            United States        Mid-level       Full-time       Remote
## 5378            United States           Senior       Full-time       Remote
## 5379            United States           Senior       Full-time       Remote
## 5380            United States           Senior       Full-time    In-person
## 5381            United States           Senior       Full-time    In-person
## 5382                 Colombia           Senior       Full-time       Remote
## 5383                 Colombia           Senior       Full-time       Remote
## 5384           United Kingdom        Mid-level       Full-time    In-person
## 5385           United Kingdom        Mid-level       Full-time    In-person
## 5386                    Egypt        Mid-level       Full-time       Remote
## 5387                  Nigeria           Senior       Freelance       Remote
## 5388            United States           Senior       Full-time    In-person
## 5389            United States           Senior       Full-time    In-person
## 5390            United States           Senior       Full-time    In-person
## 5391            United States           Senior       Full-time    In-person
## 5392            United States      Entry-level       Full-time       Remote
## 5393            United States      Entry-level       Full-time       Remote
## 5394            United States           Senior       Full-time       Remote
## 5395            United States           Senior       Full-time       Remote
## 5396            United States           Senior       Full-time    In-person
## 5397            United States           Senior       Full-time    In-person
## 5398            United States           Senior       Full-time    In-person
## 5399            United States           Senior       Full-time    In-person
## 5400            United States           Senior       Full-time    In-person
## 5401            United States           Senior       Full-time    In-person
## 5402                   Canada           Senior       Full-time    In-person
## 5403                   Canada           Senior       Full-time    In-person
## 5404            United States           Senior       Full-time       Remote
## 5405            United States           Senior       Full-time       Remote
## 5406            United States      Entry-level       Full-time       Remote
## 5407            United States      Entry-level       Full-time       Remote
## 5408            United States           Senior       Full-time    In-person
## 5409            United States           Senior       Full-time    In-person
## 5410            United States           Senior       Full-time    In-person
## 5411            United States           Senior       Full-time    In-person
## 5412            United States           Senior       Full-time       Remote
## 5413               Uzbekistan      Entry-level       Full-time       Remote
## 5414            United States           Senior       Full-time    In-person
## 5415            United States           Senior       Full-time    In-person
## 5416            United States           Senior       Full-time    In-person
## 5417            United States           Senior       Full-time    In-person
## 5418                    Spain           Senior       Full-time    In-person
## 5419                    Spain           Senior       Full-time    In-person
## 5420            United States           Senior       Full-time    In-person
## 5421            United States           Senior       Full-time    In-person
## 5422            United States           Senior       Full-time    In-person
## 5423            United States           Senior       Full-time    In-person
## 5424                   France           Senior       Full-time    In-person
## 5425                   France           Senior       Full-time    In-person
## 5426            United States           Senior       Full-time    In-person
## 5427            United States           Senior       Full-time    In-person
## 5428            United States      Entry-level       Full-time       Remote
## 5429            United States      Entry-level       Full-time       Remote
## 5430                   Canada           Senior       Full-time       Remote
## 5431                   Canada           Senior       Full-time       Remote
## 5432            United States           Senior       Full-time       Remote
## 5433            United States           Senior       Full-time       Remote
## 5434           United Kingdom           Senior       Full-time    In-person
## 5435           United Kingdom           Senior       Full-time    In-person
## 5436            United States        Executive       Full-time    In-person
## 5437            United States        Executive       Full-time    In-person
## 5438            United States           Senior       Full-time       Remote
## 5439            United States           Senior       Full-time       Remote
## 5440            United States        Mid-level       Full-time    In-person
## 5441            United States        Mid-level       Full-time    In-person
## 5442           United Kingdom           Senior       Full-time       Remote
## 5443           United Kingdom           Senior       Full-time       Remote
## 5444            United States           Senior       Full-time    In-person
## 5445            United States           Senior       Full-time    In-person
## 5446            United States           Senior       Full-time       Remote
## 5447            United States           Senior       Full-time       Remote
## 5448                Argentina      Entry-level       Full-time       Remote
## 5449                   Canada      Entry-level       Full-time       Hybrid
## 5450                   France        Mid-level       Full-time       Remote
## 5451                  Georgia           Senior       Full-time       Remote
## 5452           United Kingdom        Mid-level       Full-time       Hybrid
## 5453            United States           Senior       Full-time    In-person
## 5454            United States           Senior       Full-time    In-person
## 5455            United States           Senior       Full-time       Remote
## 5456            United States           Senior       Full-time       Remote
## 5457            United States           Senior       Full-time    In-person
## 5458            United States           Senior       Full-time    In-person
## 5459            United States           Senior       Full-time       Remote
## 5460            United States           Senior       Full-time       Remote
## 5461            United States           Senior       Full-time    In-person
## 5462            United States           Senior       Full-time    In-person
## 5463            United States           Senior       Full-time    In-person
## 5464            United States           Senior       Full-time    In-person
## 5465            United States        Mid-level       Full-time    In-person
## 5466            United States        Mid-level       Full-time    In-person
## 5467            United States           Senior       Full-time    In-person
## 5468            United States           Senior       Full-time    In-person
## 5469            United States           Senior       Full-time    In-person
## 5470            United States           Senior       Full-time    In-person
## 5471           United Kingdom           Senior       Full-time    In-person
## 5472           United Kingdom           Senior       Full-time    In-person
## 5473           United Kingdom           Senior       Full-time       Remote
## 5474           United Kingdom           Senior       Full-time       Remote
## 5475            United States           Senior       Full-time    In-person
## 5476            United States           Senior       Full-time    In-person
## 5477            United States           Senior       Full-time    In-person
## 5478            United States           Senior       Full-time    In-person
## 5479                  Nigeria        Mid-level        Contract    In-person
## 5480                  Germany      Entry-level       Full-time       Hybrid
## 5481                   France           Senior        Contract       Remote
## 5482            United States           Senior       Full-time    In-person
## 5483            United States           Senior       Full-time    In-person
## 5484            United States           Senior       Full-time    In-person
## 5485            United States           Senior       Full-time    In-person
## 5486            United States      Entry-level       Full-time    In-person
## 5487            United States      Entry-level       Full-time    In-person
## 5488            United States           Senior       Full-time    In-person
## 5489            United States           Senior       Full-time    In-person
## 5490            United States        Mid-level       Full-time    In-person
## 5491            United States        Mid-level       Full-time    In-person
## 5492                  Nigeria        Mid-level       Full-time       Hybrid
## 5493            United States           Senior       Full-time    In-person
## 5494            United States           Senior       Full-time    In-person
## 5495            United States        Mid-level       Full-time    In-person
## 5496            United States        Mid-level       Full-time    In-person
## 5497            United States           Senior       Full-time    In-person
## 5498            United States           Senior       Full-time    In-person
## 5499            United States           Senior       Full-time       Remote
## 5500            United States           Senior       Full-time       Remote
## 5501            United States        Mid-level       Full-time       Remote
## 5502            United States        Mid-level       Full-time       Remote
## 5503           United Kingdom           Senior       Full-time    In-person
## 5504           United Kingdom           Senior       Full-time    In-person
## 5505            United States        Mid-level       Full-time       Remote
## 5506            United States        Mid-level       Full-time       Remote
## 5507            United States           Senior       Full-time       Remote
## 5508            United States           Senior       Full-time       Remote
## 5509            United States           Senior       Full-time       Remote
## 5510            United States           Senior       Full-time       Remote
## 5511           United Kingdom        Mid-level       Full-time    In-person
## 5512           United Kingdom        Mid-level       Full-time    In-person
## 5513            United States           Senior       Full-time       Remote
## 5514            United States           Senior       Full-time       Remote
## 5515            United States           Senior       Full-time       Remote
## 5516            United States           Senior       Full-time       Remote
## 5517            United States           Senior       Full-time       Remote
## 5518            United States           Senior       Full-time       Remote
## 5519           United Kingdom           Senior       Full-time    In-person
## 5520           United Kingdom           Senior       Full-time    In-person
## 5521            United States           Senior       Full-time       Remote
## 5522            United States           Senior       Full-time       Remote
## 5523            United States           Senior       Full-time       Remote
## 5524            United States           Senior       Full-time       Remote
## 5525                 Colombia           Senior       Full-time       Remote
## 5526                 Colombia           Senior       Full-time       Remote
## 5527            United States           Senior       Full-time    In-person
## 5528            United States           Senior       Full-time    In-person
## 5529            United States           Senior       Full-time    In-person
## 5530            United States           Senior       Full-time    In-person
## 5531            United States      Entry-level       Full-time    In-person
## 5532            United States      Entry-level       Full-time    In-person
## 5533            United States           Senior       Full-time    In-person
## 5534            United States           Senior       Full-time    In-person
## 5535            United States        Executive       Full-time    In-person
## 5536            United States        Executive       Full-time    In-person
## 5537            United States        Mid-level       Full-time    In-person
## 5538            United States        Mid-level       Full-time    In-person
## 5539            United States        Mid-level       Full-time       Remote
## 5540            United States        Mid-level       Full-time       Remote
## 5541            United States           Senior       Full-time    In-person
## 5542            United States           Senior       Full-time    In-person
## 5543            United States        Mid-level       Full-time    In-person
## 5544            United States        Mid-level       Full-time    In-person
## 5545            United States           Senior       Full-time       Remote
## 5546            United States           Senior       Full-time       Remote
## 5547            United States        Mid-level       Full-time    In-person
## 5548            United States        Mid-level       Full-time    In-person
## 5549            United States           Senior       Full-time       Remote
## 5550            United States           Senior       Full-time       Remote
## 5551            United States        Mid-level       Full-time    In-person
## 5552            United States        Mid-level       Full-time    In-person
## 5553            United States           Senior       Full-time    In-person
## 5554            United States           Senior       Full-time    In-person
## 5555            United States           Senior       Full-time       Remote
## 5556            United States           Senior       Full-time       Remote
## 5557            United States           Senior       Full-time       Remote
## 5558            United States           Senior       Full-time       Remote
## 5559            United States           Senior       Full-time       Remote
## 5560            United States           Senior       Full-time       Remote
## 5561            United States           Senior       Full-time       Remote
## 5562            United States           Senior       Full-time       Remote
## 5563            United States           Senior       Full-time       Remote
## 5564            United States           Senior       Full-time       Remote
## 5565            United States           Senior       Full-time    In-person
## 5566            United States           Senior       Full-time    In-person
## 5567            United States           Senior       Full-time       Remote
## 5568            United States           Senior       Full-time       Remote
## 5569            United States           Senior       Full-time       Remote
## 5570            United States           Senior       Full-time       Remote
## 5571            United States           Senior       Full-time       Remote
## 5572            United States           Senior       Full-time       Remote
## 5573            United States           Senior       Full-time       Remote
## 5574            United States           Senior       Full-time       Remote
## 5575            United States           Senior       Full-time    In-person
## 5576            United States           Senior       Full-time    In-person
## 5577            United States        Mid-level       Full-time    In-person
## 5578            United States        Mid-level       Full-time    In-person
## 5579            United States           Senior       Full-time    In-person
## 5580            United States           Senior       Full-time    In-person
## 5581            United States           Senior       Full-time    In-person
## 5582            United States           Senior       Full-time    In-person
## 5583            United States           Senior       Full-time    In-person
## 5584            United States           Senior       Full-time    In-person
## 5585            United States        Mid-level       Full-time       Remote
## 5586            United States        Mid-level       Full-time       Remote
## 5587                Argentina           Senior       Full-time       Remote
## 5588                Argentina           Senior       Full-time       Remote
## 5589            United States           Senior       Full-time    In-person
## 5590            United States           Senior       Full-time    In-person
## 5591            United States           Senior       Full-time       Remote
## 5592            United States           Senior       Full-time       Remote
## 5593                   Canada           Senior       Full-time       Remote
## 5594                   Canada           Senior       Full-time       Remote
## 5595            United States           Senior       Full-time       Remote
## 5596            United States           Senior       Full-time       Remote
## 5597            United States           Senior       Full-time       Remote
## 5598            United States           Senior       Full-time       Remote
## 5599            United States           Senior       Full-time    In-person
## 5600            United States           Senior       Full-time    In-person
## 5601            United States           Senior       Full-time    In-person
## 5602            United States           Senior       Full-time    In-person
## 5603            United States           Senior       Full-time    In-person
## 5604            United States           Senior       Full-time    In-person
## 5605                  Germany        Mid-level       Full-time       Remote
## 5606            United States           Senior       Full-time    In-person
## 5607            United States           Senior       Full-time    In-person
## 5608            United States        Mid-level       Full-time       Remote
## 5609            United States        Mid-level       Full-time       Remote
## 5610            United States        Mid-level       Full-time       Remote
## 5611            United States        Mid-level       Full-time       Remote
## 5612            United States        Executive       Full-time       Remote
## 5613            United States        Executive       Full-time       Remote
## 5614            United States           Senior       Full-time    In-person
## 5615            United States           Senior       Full-time    In-person
## 5616            United States           Senior       Full-time       Remote
## 5617            United States           Senior       Full-time       Remote
## 5618           United Kingdom      Entry-level       Full-time       Remote
## 5619           United Kingdom      Entry-level       Full-time       Remote
## 5620            United States        Executive       Full-time       Remote
## 5621                  Nigeria           Senior       Full-time       Remote
## 5622            United States           Senior       Full-time    In-person
## 5623            United States           Senior       Full-time    In-person
## 5624            United States           Senior       Full-time    In-person
## 5625            United States           Senior       Full-time    In-person
## 5626            United States           Senior       Full-time    In-person
## 5627            United States           Senior       Full-time    In-person
## 5628            United States           Senior       Full-time    In-person
## 5629            United States           Senior       Full-time    In-person
## 5630            United States           Senior       Full-time       Remote
## 5631            United States           Senior       Full-time       Remote
## 5632            United States           Senior       Full-time    In-person
## 5633            United States           Senior       Full-time    In-person
## 5634            United States           Senior       Full-time       Remote
## 5635            United States           Senior       Full-time       Remote
## 5636            United States           Senior       Full-time       Remote
## 5637            United States           Senior       Full-time       Remote
## 5638           United Kingdom        Mid-level       Full-time       Hybrid
## 5639           United Kingdom        Mid-level       Full-time    In-person
## 5640           United Kingdom        Mid-level       Full-time    In-person
## 5641            United States           Senior       Full-time    In-person
## 5642            United States           Senior       Full-time    In-person
## 5643            United States        Executive       Full-time    In-person
## 5644            United States        Executive       Full-time    In-person
## 5645            United States           Senior       Full-time    In-person
## 5646            United States           Senior       Full-time    In-person
## 5647            United States           Senior       Full-time    In-person
## 5648            United States           Senior       Full-time    In-person
## 5649            United States           Senior       Full-time    In-person
## 5650            United States           Senior       Full-time    In-person
## 5651           United Kingdom           Senior       Full-time    In-person
## 5652           United Kingdom           Senior       Full-time    In-person
## 5653            United States           Senior       Full-time    In-person
## 5654            United States           Senior       Full-time    In-person
## 5655            United States           Senior       Full-time    In-person
## 5656            United States           Senior       Full-time    In-person
## 5657            United States           Senior       Full-time       Remote
## 5658            United States           Senior       Full-time       Remote
## 5659                    Spain           Senior       Full-time    In-person
## 5660                    Spain           Senior       Full-time    In-person
## 5661                   Canada           Senior       Full-time       Remote
## 5662                   Canada           Senior       Full-time       Remote
## 5663            United States           Senior       Full-time    In-person
## 5664            United States           Senior       Full-time    In-person
## 5665            United States           Senior       Full-time       Remote
## 5666            United States           Senior       Full-time       Remote
## 5667            United States           Senior       Full-time       Remote
## 5668            United States           Senior       Full-time       Remote
## 5669            United States        Mid-level       Full-time    In-person
## 5670            United States        Mid-level       Full-time    In-person
## 5671            United States           Senior       Full-time       Remote
## 5672            United States           Senior       Full-time       Remote
## 5673           United Kingdom        Mid-level       Full-time    In-person
## 5674           United Kingdom        Mid-level       Full-time    In-person
## 5675            United States        Mid-level       Full-time    In-person
## 5676            United States        Mid-level       Full-time    In-person
## 5677                    Spain           Senior       Full-time       Remote
## 5678                    Spain           Senior       Full-time       Remote
## 5679            United States           Senior       Full-time       Remote
## 5680            United States           Senior       Full-time       Remote
## 5681                    Italy           Senior       Full-time       Remote
## 5682                    Italy           Senior       Full-time       Remote
## 5683            United States           Senior       Full-time       Remote
## 5684            United States           Senior       Full-time       Remote
## 5685            United States           Senior       Full-time       Remote
## 5686            United States           Senior       Full-time       Remote
## 5687            United States        Mid-level       Full-time    In-person
## 5688            United States        Mid-level       Full-time    In-person
## 5689            United States        Mid-level       Full-time    In-person
## 5690            United States        Mid-level       Full-time    In-person
## 5691            United States      Entry-level       Full-time    In-person
## 5692            United States      Entry-level       Full-time    In-person
## 5693            United States           Senior       Full-time    In-person
## 5694            United States           Senior       Full-time    In-person
## 5695            United States        Mid-level       Full-time       Remote
## 5696            United States        Mid-level       Full-time       Remote
## 5697            United States        Mid-level       Full-time    In-person
## 5698            United States        Mid-level       Full-time    In-person
## 5699            United States           Senior       Full-time    In-person
## 5700            United States           Senior       Full-time    In-person
## 5701            United States           Senior       Full-time       Remote
## 5702            United States           Senior       Full-time       Remote
## 5703           United Kingdom        Mid-level       Full-time    In-person
## 5704           United Kingdom        Mid-level       Full-time    In-person
## 5705                    Spain           Senior       Full-time       Remote
## 5706            United States        Mid-level        Contract       Remote
## 5707            United States        Mid-level        Contract       Remote
## 5708                   Canada           Senior       Full-time       Remote
## 5709                   Canada           Senior       Full-time       Remote
## 5710            United States           Senior       Full-time    In-person
## 5711            United States           Senior       Full-time    In-person
## 5712                   Canada           Senior       Full-time    In-person
## 5713                   Canada           Senior       Full-time    In-person
## 5714            United States           Senior       Full-time    In-person
## 5715            United States           Senior       Full-time    In-person
## 5716            United States           Senior       Full-time       Remote
## 5717            United States           Senior       Full-time       Remote
## 5718            United States      Entry-level       Full-time    In-person
## 5719            United States      Entry-level       Full-time    In-person
## 5720            United States           Senior       Full-time    In-person
## 5721            United States           Senior       Full-time    In-person
## 5722            United States           Senior       Full-time    In-person
## 5723            United States           Senior       Full-time    In-person
## 5724            United States        Mid-level       Full-time       Remote
## 5725            United States        Mid-level       Full-time       Remote
## 5726                  Germany           Senior       Full-time    In-person
## 5727                  Germany           Senior       Full-time    In-person
## 5728           United Kingdom           Senior       Full-time       Remote
## 5729           United Kingdom           Senior       Full-time       Remote
## 5730            United States           Senior       Full-time    In-person
## 5731            United States           Senior       Full-time    In-person
## 5732            United States           Senior       Full-time    In-person
## 5733            United States           Senior       Full-time    In-person
## 5734                   Canada           Senior       Full-time    In-person
## 5735                   Canada           Senior       Full-time    In-person
## 5736            United States           Senior       Full-time    In-person
## 5737            United States           Senior       Full-time    In-person
## 5738            United States           Senior       Full-time    In-person
## 5739            United States           Senior       Full-time    In-person
## 5740            United States        Mid-level       Full-time    In-person
## 5741            United States        Mid-level       Full-time    In-person
## 5742            United States        Mid-level       Full-time    In-person
## 5743            United States        Mid-level       Full-time    In-person
## 5744                  Nigeria      Entry-level       Full-time       Remote
## 5745            United States      Entry-level       Full-time    In-person
## 5746            United States      Entry-level       Full-time    In-person
## 5747            United States           Senior       Full-time    In-person
## 5748            United States           Senior       Full-time    In-person
## 5749            United States           Senior       Full-time       Remote
## 5750            United States           Senior       Full-time       Remote
## 5751            United States           Senior       Full-time       Remote
## 5752            United States           Senior       Full-time       Remote
## 5753            United States           Senior       Full-time       Remote
## 5754            United States           Senior       Full-time       Remote
## 5755            United States           Senior       Full-time       Remote
## 5756            United States           Senior       Full-time       Remote
## 5757            United States           Senior       Full-time       Remote
## 5758            United States           Senior       Full-time       Remote
## 5759            United States           Senior       Full-time    In-person
## 5760            United States           Senior       Full-time    In-person
## 5761            United States        Executive       Full-time    In-person
## 5762            United States        Executive       Full-time    In-person
## 5763            United States           Senior       Full-time       Remote
## 5764            United States           Senior       Full-time       Remote
## 5765            United States           Senior       Full-time       Remote
## 5766            United States           Senior       Full-time       Remote
## 5767            United States           Senior       Full-time    In-person
## 5768            United States           Senior       Full-time    In-person
## 5769            United States           Senior       Full-time       Remote
## 5770            United States           Senior       Full-time       Remote
## 5771            United States           Senior       Full-time    In-person
## 5772            United States           Senior       Full-time    In-person
## 5773            United States           Senior       Full-time    In-person
## 5774            United States           Senior       Full-time    In-person
## 5775            United States           Senior       Full-time       Remote
## 5776            United States           Senior       Full-time       Remote
## 5777            United States           Senior       Full-time    In-person
## 5778            United States           Senior       Full-time    In-person
## 5779            United States           Senior       Full-time       Remote
## 5780            United States           Senior       Full-time       Remote
## 5781            United States           Senior       Full-time       Remote
## 5782            United States           Senior       Full-time       Remote
## 5783                 Portugal           Senior       Full-time       Remote
## 5784                    India        Mid-level       Full-time       Remote
## 5785              Netherlands        Mid-level       Full-time       Remote
## 5786            United States           Senior       Full-time    In-person
## 5787            United States           Senior       Full-time    In-person
## 5788            United States           Senior       Full-time       Remote
## 5789            United States           Senior       Full-time       Remote
## 5790            United States           Senior       Full-time    In-person
## 5791            United States           Senior       Full-time    In-person
## 5792                    Spain           Senior       Full-time    In-person
## 5793                    Spain           Senior       Full-time    In-person
## 5794            United States           Senior       Full-time    In-person
## 5795            United States           Senior       Full-time    In-person
## 5796            United States      Entry-level       Full-time    In-person
## 5797            United States      Entry-level       Full-time    In-person
## 5798            United States           Senior       Full-time       Remote
## 5799            United States           Senior       Full-time       Remote
## 5800            United States           Senior       Full-time    In-person
## 5801            United States           Senior       Full-time    In-person
## 5802            United States           Senior       Full-time    In-person
## 5803            United States           Senior       Full-time    In-person
## 5804            United States           Senior       Full-time    In-person
## 5805            United States           Senior       Full-time    In-person
## 5806            United States           Senior       Full-time    In-person
## 5807            United States           Senior       Full-time    In-person
## 5808            United States           Senior       Full-time    In-person
## 5809            United States           Senior       Full-time    In-person
## 5810            United States           Senior       Full-time    In-person
## 5811            United States           Senior       Full-time    In-person
## 5812            United States           Senior       Full-time    In-person
## 5813            United States           Senior       Full-time    In-person
## 5814            United States      Entry-level       Full-time       Hybrid
## 5815              Switzerland      Entry-level       Full-time       Remote
## 5816            United States           Senior       Full-time    In-person
## 5817            United States           Senior       Full-time    In-person
## 5818            United States           Senior       Full-time    In-person
## 5819            United States           Senior       Full-time    In-person
## 5820            United States           Senior       Full-time    In-person
## 5821            United States           Senior       Full-time    In-person
## 5822            United States           Senior       Full-time       Remote
## 5823            United States           Senior       Full-time       Remote
## 5824            United States           Senior       Full-time    In-person
## 5825            United States           Senior       Full-time    In-person
## 5826            United States           Senior       Full-time    In-person
## 5827            United States           Senior       Full-time    In-person
## 5828            United States           Senior       Full-time    In-person
## 5829            United States           Senior       Full-time    In-person
## 5830            United States        Mid-level       Full-time    In-person
## 5831            United States        Mid-level       Full-time    In-person
## 5832            United States           Senior       Full-time       Remote
## 5833            United States           Senior       Full-time       Remote
## 5834            United States           Senior       Full-time    In-person
## 5835            United States           Senior       Full-time    In-person
## 5836            United States        Mid-level       Full-time       Remote
## 5837            United States        Mid-level       Full-time       Remote
## 5838            United States      Entry-level       Full-time    In-person
## 5839            United States      Entry-level       Full-time    In-person
## 5840            United States           Senior       Full-time       Remote
## 5841            United States           Senior       Full-time       Remote
## 5842            United States      Entry-level       Full-time    In-person
## 5843            United States      Entry-level       Full-time    In-person
## 5844            United States           Senior       Full-time    In-person
## 5845            United States           Senior       Full-time    In-person
## 5846            United States           Senior       Full-time       Remote
## 5847            United States           Senior       Full-time       Remote
## 5848            United States           Senior       Full-time       Remote
## 5849            United States           Senior       Full-time       Remote
## 5850            United States           Senior       Full-time    In-person
## 5851            United States           Senior       Full-time    In-person
## 5852            United States           Senior       Full-time    In-person
## 5853            United States           Senior       Full-time    In-person
## 5854            United States        Mid-level       Full-time       Remote
## 5855            United States        Mid-level       Full-time       Remote
## 5856            United States        Mid-level       Full-time       Hybrid
## 5857           United Kingdom        Mid-level       Full-time    In-person
## 5858           United Kingdom        Mid-level       Full-time    In-person
## 5859            United States           Senior       Full-time    In-person
## 5860            United States           Senior       Full-time    In-person
## 5861            United States           Senior       Full-time    In-person
## 5862            United States           Senior       Full-time    In-person
## 5863            United States           Senior       Full-time    In-person
## 5864            United States           Senior       Full-time    In-person
## 5865            United States           Senior       Full-time    In-person
## 5866            United States           Senior       Full-time    In-person
## 5867            United States        Mid-level       Full-time    In-person
## 5868            United States        Mid-level       Full-time    In-person
## 5869            United States           Senior       Full-time       Remote
## 5870            United States           Senior       Full-time       Remote
## 5871            United States           Senior       Full-time    In-person
## 5872            United States           Senior       Full-time    In-person
## 5873            United States           Senior       Full-time    In-person
## 5874            United States           Senior       Full-time    In-person
## 5875 Central African Republic           Senior       Full-time       Remote
## 5876 Central African Republic           Senior       Full-time       Remote
## 5877            United States           Senior       Full-time    In-person
## 5878            United States           Senior       Full-time    In-person
## 5879            United States           Senior       Full-time       Remote
## 5880            United States           Senior       Full-time       Remote
## 5881           United Kingdom        Mid-level       Full-time    In-person
## 5882           United Kingdom        Mid-level       Full-time    In-person
## 5883                  Nigeria        Executive       Full-time    In-person
## 5884           United Kingdom        Mid-level       Full-time       Remote
## 5885           United Kingdom        Mid-level       Full-time       Remote
## 5886            United States      Entry-level       Full-time       Remote
## 5887            United States      Entry-level       Full-time       Remote
## 5888            United States           Senior       Full-time    In-person
## 5889            United States           Senior       Full-time    In-person
## 5890            United States        Mid-level       Full-time    In-person
## 5891            United States        Mid-level       Full-time    In-person
## 5892            United States           Senior       Full-time    In-person
## 5893            United States           Senior       Full-time    In-person
## 5894            United States           Senior       Full-time    In-person
## 5895            United States           Senior       Full-time    In-person
## 5896            United States        Mid-level       Full-time    In-person
## 5897            United States        Mid-level       Full-time    In-person
## 5898            United States           Senior       Full-time       Remote
## 5899            United States           Senior       Full-time       Remote
## 5900            United States           Senior       Full-time       Remote
## 5901            United States           Senior       Full-time       Remote
## 5902                   France           Senior       Full-time       Hybrid
## 5903            United States        Executive       Full-time    In-person
## 5904            United States        Executive       Full-time    In-person
## 5905            United States        Mid-level       Full-time    In-person
## 5906            United States        Mid-level       Full-time    In-person
## 5907            United States           Senior       Full-time       Remote
## 5908            United States           Senior       Full-time       Remote
## 5909            United States           Senior       Full-time    In-person
## 5910            United States           Senior       Full-time    In-person
## 5911            United States           Senior       Full-time    In-person
## 5912            United States           Senior       Full-time    In-person
## 5913                   Canada           Senior       Full-time    In-person
## 5914                   Canada           Senior       Full-time    In-person
## 5915            United States           Senior       Full-time       Remote
## 5916            United States           Senior       Full-time       Remote
## 5917                Australia           Senior       Full-time       Remote
## 5918                  Finland        Mid-level       Full-time    In-person
## 5919            United States           Senior       Full-time    In-person
## 5920            United States           Senior       Full-time    In-person
## 5921            United States           Senior       Full-time    In-person
## 5922            United States           Senior       Full-time    In-person
## 5923            United States           Senior       Full-time    In-person
## 5924            United States           Senior       Full-time    In-person
## 5925            United States           Senior       Full-time    In-person
## 5926            United States           Senior       Full-time    In-person
## 5927            United States        Executive       Full-time    In-person
## 5928            United States        Executive       Full-time    In-person
## 5929            United States           Senior       Full-time    In-person
## 5930            United States           Senior       Full-time    In-person
## 5931            United States           Senior       Full-time    In-person
## 5932            United States           Senior       Full-time    In-person
## 5933            United States        Mid-level       Full-time       Remote
## 5934            United States           Senior       Full-time    In-person
## 5935            United States           Senior       Full-time    In-person
## 5936            United States        Executive       Full-time    In-person
## 5937            United States        Executive       Full-time    In-person
## 5938            United States           Senior       Full-time    In-person
## 5939            United States           Senior       Full-time    In-person
## 5940            United States           Senior       Full-time    In-person
## 5941            United States           Senior       Full-time    In-person
## 5942            United States           Senior       Full-time    In-person
## 5943            United States           Senior       Full-time    In-person
## 5944            United States           Senior       Full-time    In-person
## 5945            United States           Senior       Full-time    In-person
## 5946            United States           Senior       Full-time       Remote
## 5947            United States           Senior       Full-time       Remote
## 5948                    Spain           Senior       Full-time       Remote
## 5949            United States      Entry-level       Full-time    In-person
## 5950            United States      Entry-level       Full-time    In-person
## 5951            United States           Senior       Full-time    In-person
## 5952            United States           Senior       Full-time    In-person
## 5953            United States           Senior       Full-time    In-person
## 5954            United States           Senior       Full-time    In-person
## 5955            United States           Senior       Full-time    In-person
## 5956            United States           Senior       Full-time    In-person
## 5957            United States           Senior       Full-time       Remote
## 5958            United States           Senior       Full-time       Remote
## 5959            United States           Senior       Full-time       Remote
## 5960            United States           Senior       Full-time       Remote
## 5961            United States           Senior       Full-time    In-person
## 5962            United States           Senior       Full-time    In-person
## 5963                    Spain           Senior       Full-time    In-person
## 5964                    Spain           Senior       Full-time    In-person
## 5965            United States           Senior       Full-time    In-person
## 5966            United States           Senior       Full-time    In-person
## 5967            United States           Senior       Full-time       Remote
## 5968            United States           Senior       Full-time       Remote
## 5969            United States           Senior       Full-time       Remote
## 5970            United States           Senior       Full-time       Remote
## 5971            United States           Senior       Full-time    In-person
## 5972            United States           Senior       Full-time    In-person
## 5973            United States        Executive       Full-time    In-person
## 5974            United States        Executive       Full-time    In-person
## 5975            United States           Senior       Full-time    In-person
## 5976            United States           Senior       Full-time    In-person
## 5977            United States           Senior       Full-time       Remote
## 5978            United States           Senior       Full-time       Remote
## 5979            United States           Senior       Full-time       Remote
## 5980            United States           Senior       Full-time       Remote
## 5981            United States           Senior       Full-time       Remote
## 5982            United States           Senior       Full-time       Remote
## 5983            United States           Senior       Full-time    In-person
## 5984            United States           Senior       Full-time    In-person
## 5985            United States           Senior       Full-time       Remote
## 5986            United States           Senior       Full-time       Remote
## 5987            United States           Senior       Full-time    In-person
## 5988            United States           Senior       Full-time    In-person
## 5989            United States           Senior       Full-time       Remote
## 5990            United States           Senior       Full-time       Remote
## 5991            United States           Senior       Full-time    In-person
## 5992            United States           Senior       Full-time    In-person
## 5993            United States           Senior       Full-time    In-person
## 5994            United States           Senior       Full-time    In-person
## 5995            United States        Executive       Full-time       Remote
## 5996            United States        Executive       Full-time       Remote
## 5997            United States           Senior       Full-time    In-person
## 5998            United States           Senior       Full-time    In-person
## 5999            United States           Senior       Full-time    In-person
## 6000            United States           Senior       Full-time    In-person
## 6001            United States           Senior       Full-time       Remote
## 6002            United States           Senior       Full-time       Remote
## 6003            United States           Senior       Full-time    In-person
## 6004            United States           Senior       Full-time    In-person
## 6005            United States           Senior       Full-time    In-person
## 6006            United States           Senior       Full-time    In-person
## 6007            United States           Senior       Full-time       Remote
## 6008            United States           Senior       Full-time       Remote
## 6009            United States           Senior       Full-time    In-person
## 6010            United States           Senior       Full-time    In-person
## 6011            United States           Senior       Full-time       Remote
## 6012            United States           Senior       Full-time       Remote
## 6013            United States           Senior       Full-time    In-person
## 6014            United States           Senior       Full-time    In-person
## 6015            United States           Senior       Full-time       Remote
## 6016            United States           Senior       Full-time       Remote
## 6017            United States           Senior       Full-time    In-person
## 6018            United States           Senior       Full-time    In-person
## 6019            United States           Senior       Full-time    In-person
## 6020            United States           Senior       Full-time    In-person
## 6021                   Canada      Entry-level       Full-time    In-person
## 6022                   Canada           Senior       Full-time    In-person
## 6023                  Ukraine           Senior       Freelance       Hybrid
## 6024            United States        Mid-level       Full-time       Remote
## 6025            United States        Mid-level       Full-time       Remote
## 6026                   Canada      Entry-level       Full-time       Remote
## 6027            United States           Senior       Full-time    In-person
## 6028            United States           Senior       Full-time    In-person
## 6029            United States           Senior       Full-time    In-person
## 6030            United States           Senior       Full-time    In-person
## 6031            United States           Senior       Full-time    In-person
## 6032            United States           Senior       Full-time    In-person
## 6033            United States      Entry-level       Full-time       Remote
## 6034            United States      Entry-level       Full-time       Remote
## 6035            United States        Mid-level       Full-time       Remote
## 6036            United States        Mid-level       Full-time       Remote
## 6037                   Canada           Senior       Full-time       Remote
## 6038                   Canada           Senior       Full-time       Remote
## 6039            United States      Entry-level       Full-time    In-person
## 6040            United States      Entry-level       Full-time    In-person
## 6041            United States           Senior       Full-time    In-person
## 6042            United States           Senior       Full-time    In-person
## 6043            United States           Senior       Full-time       Remote
## 6044            United States           Senior       Full-time       Remote
## 6045            United States           Senior       Full-time       Remote
## 6046            United States           Senior       Full-time       Remote
## 6047            United States      Entry-level       Full-time    In-person
## 6048            United States      Entry-level       Full-time    In-person
## 6049            United States           Senior       Full-time    In-person
## 6050            United States           Senior       Full-time    In-person
## 6051            United States           Senior       Full-time    In-person
## 6052            United States           Senior       Full-time    In-person
## 6053            United States           Senior       Full-time    In-person
## 6054            United States           Senior       Full-time    In-person
## 6055            United States           Senior       Full-time       Remote
## 6056            United States           Senior       Full-time       Remote
## 6057            United States           Senior       Full-time       Remote
## 6058            United States           Senior       Full-time       Remote
## 6059                    Spain        Mid-level       Full-time       Remote
## 6060            United States           Senior       Full-time    In-person
## 6061            United States           Senior       Full-time    In-person
## 6062            United States           Senior       Full-time       Remote
## 6063            United States           Senior       Full-time       Remote
## 6064            United States        Mid-level       Full-time    In-person
## 6065            United States        Mid-level       Full-time    In-person
## 6066           United Kingdom        Mid-level       Full-time    In-person
## 6067           United Kingdom        Mid-level       Full-time    In-person
## 6068            United States           Senior       Full-time    In-person
## 6069            United States           Senior       Full-time    In-person
## 6070            United States        Mid-level       Full-time    In-person
## 6071            United States        Mid-level       Full-time    In-person
## 6072            United States           Senior       Full-time    In-person
## 6073            United States           Senior       Full-time    In-person
## 6074            United States           Senior       Full-time       Remote
## 6075            United States           Senior       Full-time       Remote
## 6076            United States           Senior       Full-time    In-person
## 6077            United States           Senior       Full-time    In-person
## 6078            United States           Senior       Full-time    In-person
## 6079            United States           Senior       Full-time    In-person
## 6080            United States           Senior       Full-time    In-person
## 6081            United States           Senior       Full-time    In-person
## 6082            United States           Senior       Full-time    In-person
## 6083            United States           Senior       Full-time    In-person
## 6084            United States           Senior       Full-time       Remote
## 6085            United States           Senior       Full-time       Remote
## 6086            United States        Mid-level       Full-time       Remote
## 6087            United States        Mid-level       Full-time       Remote
## 6088            United States        Executive       Full-time    In-person
## 6089            United States        Executive       Full-time    In-person
## 6090            United States        Mid-level       Full-time    In-person
## 6091            United States      Entry-level       Full-time       Remote
## 6092                    Spain           Senior       Full-time    In-person
## 6093                    Spain           Senior       Full-time    In-person
## 6094            United States      Entry-level       Full-time    In-person
## 6095            United States      Entry-level       Full-time    In-person
## 6096            United States        Mid-level       Full-time    In-person
## 6097            United States        Mid-level       Full-time    In-person
## 6098            United States           Senior       Full-time       Remote
## 6099            United States           Senior       Full-time       Remote
## 6100            United States           Senior       Full-time    In-person
## 6101            United States           Senior       Full-time    In-person
## 6102            United States           Senior       Full-time    In-person
## 6103            United States           Senior       Full-time    In-person
## 6104            United States      Entry-level       Full-time    In-person
## 6105            United States      Entry-level       Full-time    In-person
## 6106            United States           Senior       Full-time    In-person
## 6107            United States           Senior       Full-time    In-person
## 6108            United States           Senior       Full-time    In-person
## 6109            United States           Senior       Full-time    In-person
## 6110            United States        Executive       Full-time    In-person
## 6111            United States        Executive       Full-time    In-person
## 6112            United States           Senior       Full-time    In-person
## 6113            United States           Senior       Full-time    In-person
## 6114            United States           Senior       Full-time       Remote
## 6115            United States           Senior       Full-time       Remote
## 6116            United States           Senior       Full-time       Remote
## 6117            United States           Senior       Full-time       Remote
## 6118            United States      Entry-level       Full-time    In-person
## 6119            United States      Entry-level       Full-time    In-person
## 6120            United States           Senior       Full-time    In-person
## 6121            United States           Senior       Full-time    In-person
## 6122            United States           Senior       Full-time    In-person
## 6123            United States           Senior       Full-time    In-person
## 6124            United States      Entry-level       Full-time       Remote
## 6125            United States      Entry-level       Full-time       Remote
## 6126            United States           Senior       Full-time    In-person
## 6127            United States           Senior       Full-time    In-person
## 6128            United States           Senior       Full-time       Remote
## 6129            United States           Senior       Full-time       Remote
## 6130            United States           Senior       Full-time    In-person
## 6131            United States           Senior       Full-time    In-person
## 6132            United States        Mid-level       Full-time    In-person
## 6133            United States        Mid-level       Full-time    In-person
## 6134            United States           Senior       Full-time       Remote
## 6135            United States           Senior       Full-time       Remote
## 6136                  Ireland           Senior       Full-time    In-person
## 6137                  Ireland           Senior       Full-time    In-person
## 6138            United States           Senior       Full-time    In-person
## 6139            United States           Senior       Full-time    In-person
## 6140            United States           Senior       Full-time    In-person
## 6141            United States           Senior       Full-time    In-person
## 6142            United States           Senior       Full-time    In-person
## 6143            United States           Senior       Full-time    In-person
## 6144            United States           Senior       Full-time       Remote
## 6145            United States           Senior       Full-time       Remote
## 6146                   Canada           Senior       Full-time       Remote
## 6147                   Canada           Senior       Full-time       Remote
## 6148            United States        Mid-level       Full-time    In-person
## 6149            United States        Mid-level       Full-time    In-person
## 6150            United States           Senior       Full-time    In-person
## 6151            United States           Senior       Full-time    In-person
## 6152           United Kingdom        Mid-level       Full-time    In-person
## 6153           United Kingdom        Mid-level       Full-time    In-person
## 6154            United States           Senior       Full-time    In-person
## 6155            United States           Senior       Full-time    In-person
## 6156            United States      Entry-level       Full-time       Remote
## 6157            United States      Entry-level       Full-time       Remote
## 6158            United States           Senior       Full-time       Remote
## 6159            United States           Senior       Full-time       Remote
## 6160                   Canada           Senior       Full-time    In-person
## 6161                   Canada           Senior       Full-time    In-person
## 6162            United States           Senior       Full-time    In-person
## 6163            United States           Senior       Full-time    In-person
## 6164            United States        Mid-level       Full-time    In-person
## 6165            United States        Mid-level       Full-time    In-person
## 6166            United States           Senior       Full-time    In-person
## 6167            United States           Senior       Full-time    In-person
## 6168            United States        Mid-level       Full-time    In-person
## 6169            United States        Mid-level       Full-time    In-person
## 6170              Netherlands      Entry-level       Full-time       Remote
## 6171            United States        Executive       Full-time       Remote
## 6172            United States        Executive       Full-time       Remote
## 6173            United States           Senior       Full-time       Remote
## 6174            United States           Senior       Full-time       Remote
## 6175            United States           Senior       Full-time    In-person
## 6176            United States           Senior       Full-time    In-person
## 6177            United States        Executive       Full-time    In-person
## 6178            United States        Executive       Full-time    In-person
## 6179            United States        Mid-level       Full-time    In-person
## 6180            United States        Mid-level       Full-time    In-person
## 6181            United States           Senior       Full-time       Remote
## 6182            United States           Senior       Full-time       Remote
## 6183            United States        Mid-level       Full-time       Remote
## 6184            United States        Mid-level       Full-time       Remote
## 6185            United States           Senior       Full-time       Remote
## 6186            United States           Senior       Full-time       Remote
## 6187            United States           Senior       Full-time    In-person
## 6188            United States           Senior       Full-time    In-person
## 6189            United States           Senior       Full-time    In-person
## 6190            United States           Senior       Full-time    In-person
## 6191                    Spain      Entry-level       Full-time    In-person
## 6192                  Ukraine           Senior       Full-time    In-person
## 6193                  Ukraine           Senior       Full-time    In-person
## 6194            United States        Mid-level       Full-time       Remote
## 6195            United States        Mid-level       Full-time       Remote
## 6196            United States           Senior       Full-time    In-person
## 6197            United States           Senior       Full-time    In-person
## 6198            United States           Senior       Full-time    In-person
## 6199            United States           Senior       Full-time    In-person
## 6200            United States           Senior       Full-time    In-person
## 6201            United States           Senior       Full-time    In-person
## 6202            United States           Senior       Full-time    In-person
## 6203            United States           Senior       Full-time    In-person
## 6204            United States           Senior       Full-time    In-person
## 6205            United States           Senior       Full-time    In-person
## 6206            United States           Senior       Full-time    In-person
## 6207            United States           Senior       Full-time    In-person
## 6208            United States           Senior       Full-time    In-person
## 6209            United States           Senior       Full-time    In-person
## 6210            United States           Senior       Full-time    In-person
## 6211            United States           Senior       Full-time    In-person
## 6212            United States           Senior       Full-time    In-person
## 6213            United States           Senior       Full-time    In-person
## 6214            United States      Entry-level       Full-time    In-person
## 6215            United States      Entry-level       Full-time    In-person
## 6216            United States           Senior       Full-time       Remote
## 6217            United States           Senior       Full-time       Remote
## 6218            United States           Senior       Full-time       Remote
## 6219            United States           Senior       Full-time       Remote
## 6220            United States           Senior       Full-time       Remote
## 6221            United States           Senior       Full-time       Remote
## 6222            United States        Mid-level       Full-time    In-person
## 6223            United States        Mid-level       Full-time    In-person
## 6224            United States           Senior       Full-time    In-person
## 6225            United States           Senior       Full-time    In-person
## 6226            United States        Mid-level       Full-time       Hybrid
## 6227            United States           Senior       Full-time       Remote
## 6228            United States           Senior       Full-time       Remote
## 6229            United States           Senior       Full-time       Remote
## 6230            United States           Senior       Full-time       Remote
## 6231            United States           Senior       Full-time    In-person
## 6232            United States           Senior       Full-time    In-person
## 6233            United States           Senior       Full-time    In-person
## 6234            United States           Senior       Full-time    In-person
## 6235            United States        Mid-level       Full-time    In-person
## 6236            United States        Mid-level       Full-time    In-person
## 6237            United States        Mid-level       Full-time    In-person
## 6238            United States        Mid-level       Full-time    In-person
## 6239            United States           Senior       Full-time       Remote
## 6240            United States           Senior       Full-time       Remote
## 6241            United States           Senior       Full-time    In-person
## 6242            United States           Senior       Full-time    In-person
## 6243            United States           Senior       Full-time    In-person
## 6244            United States           Senior       Full-time    In-person
## 6245            United States           Senior       Full-time    In-person
## 6246            United States           Senior       Full-time    In-person
## 6247            United States           Senior       Full-time       Remote
## 6248            United States           Senior       Full-time       Remote
## 6249            United States        Mid-level       Full-time    In-person
## 6250            United States        Mid-level       Full-time    In-person
## 6251            United States        Executive       Full-time    In-person
## 6252            United States        Executive       Full-time    In-person
## 6253            United States           Senior       Full-time       Remote
## 6254            United States           Senior       Full-time       Remote
## 6255            United States           Senior       Full-time    In-person
## 6256            United States           Senior       Full-time    In-person
## 6257                  Ireland        Mid-level       Full-time    In-person
## 6258                  Ireland        Mid-level       Full-time    In-person
## 6259            United States        Mid-level       Full-time    In-person
## 6260            United States        Mid-level       Full-time    In-person
## 6261            United States        Mid-level       Full-time    In-person
## 6262            United States        Mid-level       Full-time    In-person
## 6263            United States           Senior       Full-time       Remote
## 6264            United States           Senior       Full-time       Remote
## 6265            United States           Senior       Full-time    In-person
## 6266            United States           Senior       Full-time    In-person
## 6267            United States           Senior       Full-time    In-person
## 6268            United States           Senior       Full-time    In-person
## 6269            United States           Senior       Full-time       Remote
## 6270            United States           Senior       Full-time       Remote
## 6271                  Germany      Entry-level       Full-time       Hybrid
## 6272                   Canada           Senior       Full-time       Remote
## 6273                   Canada           Senior       Full-time       Remote
## 6274            United States        Mid-level       Full-time    In-person
## 6275            United States        Mid-level       Full-time    In-person
## 6276           United Kingdom        Mid-level       Full-time    In-person
## 6277           United Kingdom        Mid-level       Full-time    In-person
## 6278            United States      Entry-level       Full-time    In-person
## 6279            United States      Entry-level       Full-time    In-person
## 6280           United Kingdom        Mid-level       Full-time    In-person
## 6281           United Kingdom        Mid-level       Full-time    In-person
## 6282           United Kingdom        Mid-level       Full-time    In-person
## 6283           United Kingdom        Mid-level       Full-time    In-person
## 6284            United States           Senior       Full-time    In-person
## 6285            United States           Senior       Full-time    In-person
## 6286            United States        Executive       Full-time    In-person
## 6287            United States        Executive       Full-time    In-person
## 6288              Switzerland      Entry-level       Full-time       Hybrid
## 6289                  Germany        Mid-level       Full-time       Remote
## 6290            United States           Senior       Full-time       Remote
## 6291            United States           Senior       Full-time       Remote
## 6292            United States        Mid-level       Full-time       Remote
## 6293            United States        Mid-level       Full-time       Remote
## 6294            United States      Entry-level       Full-time       Remote
## 6295            United States      Entry-level       Full-time       Remote
## 6296            United States           Senior       Full-time    In-person
## 6297            United States           Senior       Full-time    In-person
## 6298            United States      Entry-level       Full-time       Remote
## 6299            United States      Entry-level       Full-time       Remote
## 6300                  Ireland           Senior       Full-time       Remote
## 6301                  Austria        Mid-level       Full-time       Remote
## 6302            United States        Mid-level       Full-time       Remote
## 6303            United States        Mid-level       Full-time       Remote
## 6304            United States           Senior       Full-time    In-person
## 6305            United States           Senior       Full-time    In-person
## 6306            United States           Senior       Full-time       Remote
## 6307            United States           Senior       Full-time       Remote
## 6308            United States      Entry-level       Full-time       Remote
## 6309            United States      Entry-level       Full-time       Remote
## 6310            United States           Senior       Full-time    In-person
## 6311            United States           Senior       Full-time    In-person
## 6312            United States      Entry-level       Full-time    In-person
## 6313            United States      Entry-level       Full-time    In-person
## 6314            United States           Senior       Full-time    In-person
## 6315            United States           Senior       Full-time    In-person
## 6316            United States           Senior       Full-time       Remote
## 6317            United States           Senior       Full-time       Remote
## 6318            United States        Mid-level       Full-time       Remote
## 6319            United States        Mid-level       Full-time       Remote
## 6320            United States           Senior       Full-time    In-person
## 6321            United States           Senior       Full-time    In-person
## 6322                   Canada           Senior       Full-time    In-person
## 6323                   Canada           Senior       Full-time    In-person
## 6324            United States        Mid-level       Full-time    In-person
## 6325            United States        Mid-level       Full-time    In-person
## 6326            United States           Senior       Full-time    In-person
## 6327            United States           Senior       Full-time    In-person
## 6328            United States           Senior       Full-time    In-person
## 6329            United States           Senior       Full-time    In-person
## 6330            United States           Senior       Full-time    In-person
## 6331            United States           Senior       Full-time    In-person
## 6332            United States           Senior       Full-time       Remote
## 6333            United States           Senior       Full-time       Remote
## 6334            United States           Senior       Full-time    In-person
## 6335            United States           Senior       Full-time    In-person
## 6336            United States           Senior       Full-time    In-person
## 6337            United States           Senior       Full-time    In-person
## 6338            United States           Senior       Full-time       Remote
## 6339            United States           Senior       Full-time       Remote
## 6340            United States           Senior       Full-time       Remote
## 6341            United States           Senior       Full-time       Remote
## 6342            United States           Senior       Full-time       Remote
## 6343            United States           Senior       Full-time       Remote
## 6344            United States           Senior       Full-time    In-person
## 6345            United States           Senior       Full-time    In-person
## 6346            United States           Senior       Full-time       Remote
## 6347            United States           Senior       Full-time       Remote
## 6348            United States           Senior       Full-time    In-person
## 6349            United States           Senior       Full-time    In-person
## 6350            United States           Senior       Full-time       Remote
## 6351            United States           Senior       Full-time       Remote
## 6352            United States           Senior       Full-time    In-person
## 6353            United States           Senior       Full-time    In-person
## 6354            United States        Executive       Full-time    In-person
## 6355            United States        Executive       Full-time    In-person
## 6356            United States           Senior       Full-time       Remote
## 6357            United States           Senior       Full-time       Remote
## 6358            United States      Entry-level       Full-time       Remote
## 6359            United States      Entry-level       Full-time       Remote
## 6360            United States           Senior       Full-time    In-person
## 6361            United States           Senior       Full-time    In-person
## 6362            United States           Senior       Full-time       Remote
## 6363            United States           Senior       Full-time       Remote
## 6364            United States           Senior       Full-time    In-person
## 6365            United States           Senior       Full-time    In-person
## 6366            United States           Senior       Full-time       Remote
## 6367            United States           Senior       Full-time       Remote
## 6368            United States           Senior       Full-time    In-person
## 6369            United States           Senior       Full-time    In-person
## 6370            United States        Mid-level       Full-time    In-person
## 6371            United States        Mid-level       Full-time    In-person
## 6372           United Kingdom           Senior       Full-time       Remote
## 6373           United Kingdom           Senior       Full-time       Remote
## 6374                 Colombia           Senior       Full-time    In-person
## 6375                 Colombia           Senior       Full-time    In-person
## 6376            United States           Senior       Full-time       Remote
## 6377            United States           Senior       Full-time       Remote
## 6378            United States           Senior       Full-time    In-person
## 6379            United States           Senior       Full-time    In-person
## 6380            United States        Mid-level       Full-time    In-person
## 6381            United States        Mid-level       Full-time    In-person
## 6382            United States        Mid-level       Full-time    In-person
## 6383            United States        Mid-level       Full-time    In-person
## 6384            United States           Senior       Full-time    In-person
## 6385            United States           Senior       Full-time    In-person
## 6386            United States        Mid-level       Full-time    In-person
## 6387            United States        Mid-level       Full-time    In-person
## 6388            United States           Senior       Full-time    In-person
## 6389            United States           Senior       Full-time    In-person
## 6390            United States      Entry-level       Full-time    In-person
## 6391            United States      Entry-level       Full-time    In-person
## 6392            United States           Senior       Full-time    In-person
## 6393            United States           Senior       Full-time    In-person
## 6394            United States           Senior       Full-time    In-person
## 6395            United States           Senior       Full-time    In-person
## 6396            United States        Mid-level       Full-time    In-person
## 6397            United States        Mid-level       Full-time    In-person
## 6398            United States           Senior       Full-time    In-person
## 6399            United States           Senior       Full-time    In-person
## 6400            United States        Mid-level       Full-time    In-person
## 6401            United States        Mid-level       Full-time    In-person
## 6402           United Kingdom        Mid-level       Full-time       Remote
## 6403           United Kingdom        Mid-level       Full-time       Remote
## 6404            United States        Executive       Full-time    In-person
## 6405            United States        Executive       Full-time    In-person
## 6406            United States        Mid-level       Full-time    In-person
## 6407            United States        Mid-level       Full-time    In-person
## 6408            United States           Senior       Full-time       Remote
## 6409            United States           Senior       Full-time       Remote
## 6410            United States        Mid-level       Full-time       Remote
## 6411            United States           Senior       Full-time    In-person
## 6412            United States           Senior       Full-time    In-person
## 6413            United States           Senior       Full-time       Remote
## 6414            United States           Senior       Full-time       Remote
## 6415            United States           Senior       Full-time    In-person
## 6416            United States           Senior       Full-time    In-person
## 6417            United States           Senior       Full-time       Remote
## 6418            United States           Senior       Full-time       Remote
## 6419            United States           Senior       Full-time    In-person
## 6420            United States           Senior       Full-time    In-person
## 6421            United States           Senior       Full-time       Remote
## 6422            United States           Senior       Full-time       Remote
## 6423            United States        Mid-level       Full-time       Remote
## 6424            United States        Mid-level       Full-time       Remote
## 6425            United States        Mid-level       Full-time    In-person
## 6426            United States        Mid-level       Full-time    In-person
## 6427            United States           Senior       Full-time       Remote
## 6428            United States           Senior       Full-time       Remote
## 6429                Singapore        Mid-level       Full-time       Remote
## 6430            United States           Senior       Full-time    In-person
## 6431            United States           Senior       Full-time    In-person
## 6432                    India      Entry-level       Full-time    In-person
## 6433                   Sweden      Entry-level       Full-time       Hybrid
## 6434            United States        Mid-level       Full-time    In-person
## 6435            United States        Mid-level       Full-time    In-person
## 6436            United States           Senior       Full-time    In-person
## 6437            United States           Senior       Full-time    In-person
## 6438            United States           Senior       Full-time    In-person
## 6439            United States           Senior       Full-time    In-person
## 6440            United States        Executive       Full-time       Remote
## 6441            United States        Executive       Full-time       Remote
## 6442            United States      Entry-level       Full-time    In-person
## 6443            United States      Entry-level       Full-time    In-person
## 6444            United States           Senior       Full-time    In-person
## 6445            United States           Senior       Full-time    In-person
## 6446            United States      Entry-level       Full-time       Remote
## 6447            United States      Entry-level       Full-time       Remote
## 6448            United States        Mid-level       Full-time    In-person
## 6449            United States        Mid-level       Full-time    In-person
## 6450            United States           Senior       Full-time       Remote
## 6451            United States           Senior       Full-time       Remote
## 6452            United States           Senior       Full-time    In-person
## 6453            United States           Senior       Full-time    In-person
## 6454            United States           Senior       Full-time       Remote
## 6455            United States           Senior       Full-time       Remote
## 6456            United States           Senior       Full-time    In-person
## 6457            United States           Senior       Full-time    In-person
## 6458            United States           Senior       Full-time       Remote
## 6459            United States           Senior       Full-time       Remote
## 6460                    Spain        Mid-level       Full-time    In-person
## 6461                    Spain        Mid-level       Full-time    In-person
## 6462                 Slovenia        Mid-level       Full-time       Remote
## 6463                 Slovenia        Mid-level       Full-time       Remote
## 6464           United Kingdom           Senior       Full-time    In-person
## 6465           United Kingdom           Senior       Full-time    In-person
## 6466           United Kingdom           Senior       Full-time    In-person
## 6467           United Kingdom           Senior       Full-time    In-person
## 6468            United States           Senior       Full-time    In-person
## 6469            United States           Senior       Full-time    In-person
## 6470            United States           Senior       Full-time       Remote
## 6471            United States        Mid-level       Full-time       Remote
## 6472            United States           Senior       Full-time    In-person
## 6473            United States           Senior       Full-time    In-person
## 6474                   Canada           Senior       Full-time       Remote
## 6475                   Canada           Senior       Full-time       Remote
## 6476            United States           Senior       Full-time       Remote
## 6477            United States           Senior       Full-time       Remote
## 6478            United States           Senior       Full-time    In-person
## 6479            United States           Senior       Full-time    In-person
## 6480            United States           Senior       Full-time    In-person
## 6481            United States           Senior       Full-time    In-person
## 6482            United States           Senior       Full-time    In-person
## 6483            United States           Senior       Full-time    In-person
## 6484            United States        Mid-level       Full-time    In-person
## 6485            United States        Mid-level       Full-time    In-person
## 6486            United States           Senior       Full-time    In-person
## 6487            United States           Senior       Full-time    In-person
## 6488            United States           Senior       Full-time    In-person
## 6489            United States           Senior       Full-time    In-person
## 6490            United States        Mid-level       Full-time    In-person
## 6491            United States        Mid-level       Full-time    In-person
## 6492            United States        Executive       Full-time    In-person
## 6493            United States        Executive       Full-time    In-person
## 6494            United States           Senior       Full-time       Remote
## 6495            United States           Senior       Full-time       Remote
## 6496            United States           Senior       Full-time       Remote
## 6497            United States           Senior       Full-time       Remote
## 6498                   Canada        Mid-level       Full-time       Remote
## 6499                   Canada        Mid-level       Full-time       Remote
## 6500                  Germany           Senior       Full-time    In-person
## 6501            United States           Senior       Full-time    In-person
## 6502            United States           Senior       Full-time    In-person
## 6503            United States           Senior       Full-time    In-person
## 6504            United States           Senior       Full-time    In-person
## 6505            United States        Mid-level       Full-time    In-person
## 6506            United States        Mid-level       Full-time    In-person
## 6507            United States        Mid-level       Full-time    In-person
## 6508            United States        Mid-level       Full-time    In-person
## 6509            United States           Senior       Full-time       Remote
## 6510            United States           Senior       Full-time       Remote
## 6511            United States      Entry-level       Full-time    In-person
## 6512            United States      Entry-level       Full-time    In-person
## 6513            United States        Mid-level       Full-time       Remote
## 6514            United States        Mid-level       Full-time       Remote
## 6515            United States           Senior       Full-time       Remote
## 6516            United States           Senior       Full-time       Remote
## 6517            United States           Senior       Full-time    In-person
## 6518            United States           Senior       Full-time    In-person
## 6519            United States        Mid-level       Full-time       Remote
## 6520            United States        Mid-level       Full-time       Remote
## 6521            United States           Senior       Full-time       Remote
## 6522            United States           Senior       Full-time       Remote
## 6523            United States           Senior       Full-time    In-person
## 6524            United States           Senior       Full-time    In-person
## 6525            United States           Senior       Full-time    In-person
## 6526            United States           Senior       Full-time    In-person
## 6527            United States           Senior       Full-time    In-person
## 6528            United States           Senior       Full-time    In-person
## 6529            United States           Senior       Full-time    In-person
## 6530            United States           Senior       Full-time    In-person
## 6531                  Germany      Entry-level       Full-time       Remote
## 6532                   Mexico        Mid-level       Full-time       Remote
## 6533                   Mexico        Mid-level       Full-time       Remote
## 6534            United States           Senior       Full-time    In-person
## 6535            United States           Senior       Full-time    In-person
## 6536            United States        Mid-level       Full-time    In-person
## 6537            United States        Mid-level       Full-time    In-person
## 6538            United States           Senior       Full-time       Remote
## 6539            United States           Senior       Full-time       Remote
## 6540            United States        Mid-level       Full-time       Remote
## 6541            United States        Mid-level       Full-time       Remote
## 6542            United States           Senior       Full-time    In-person
## 6543            United States           Senior       Full-time    In-person
## 6544            United States        Mid-level       Full-time    In-person
## 6545            United States        Mid-level       Full-time    In-person
## 6546                   France        Mid-level       Full-time       Hybrid
## 6547            United States           Senior       Full-time    In-person
## 6548            United States           Senior       Full-time    In-person
## 6549            United States           Senior       Full-time    In-person
## 6550            United States           Senior       Full-time    In-person
## 6551                  Nigeria           Senior       Freelance       Hybrid
## 6552               Uzbekistan      Entry-level       Full-time       Remote
## 6553            United States           Senior       Full-time    In-person
## 6554            United States           Senior       Full-time    In-person
## 6555            United States        Executive       Full-time       Remote
## 6556            United States        Executive       Full-time       Remote
## 6557            United States           Senior       Full-time    In-person
## 6558            United States           Senior       Full-time    In-person
## 6559            United States      Entry-level       Full-time    In-person
## 6560            United States      Entry-level       Full-time    In-person
## 6561            United States           Senior       Full-time    In-person
## 6562            United States           Senior       Full-time    In-person
## 6563            United States        Mid-level       Full-time    In-person
## 6564            United States        Mid-level       Full-time    In-person
## 6565            United States           Senior       Full-time    In-person
## 6566            United States           Senior       Full-time    In-person
## 6567            United States           Senior       Full-time    In-person
## 6568            United States           Senior       Full-time    In-person
## 6569            United States        Mid-level       Full-time    In-person
## 6570            United States        Mid-level       Full-time    In-person
## 6571           United Kingdom        Mid-level       Full-time    In-person
## 6572           United Kingdom        Mid-level       Full-time    In-person
## 6573            United States           Senior       Full-time    In-person
## 6574            United States           Senior       Full-time    In-person
## 6575            United States           Senior       Full-time    In-person
## 6576            United States           Senior       Full-time    In-person
## 6577            United States           Senior       Full-time    In-person
## 6578            United States           Senior       Full-time    In-person
## 6579            United States      Entry-level       Full-time    In-person
## 6580            United States      Entry-level       Full-time    In-person
## 6581            United States        Mid-level       Full-time    In-person
## 6582            United States        Mid-level       Full-time    In-person
## 6583            United States        Mid-level       Full-time       Remote
## 6584            United States        Mid-level       Full-time       Remote
## 6585            United States           Senior       Full-time    In-person
## 6586            United States           Senior       Full-time    In-person
## 6587            United States           Senior       Full-time    In-person
## 6588            United States           Senior       Full-time    In-person
## 6589            United States           Senior       Full-time       Remote
## 6590            United States           Senior       Full-time       Remote
## 6591            United States        Mid-level       Full-time       Remote
## 6592            United States        Mid-level       Full-time       Remote
## 6593            United States           Senior       Full-time    In-person
## 6594            United States           Senior       Full-time    In-person
## 6595            United States        Mid-level       Full-time    In-person
## 6596            United States        Mid-level       Full-time    In-person
## 6597            United States           Senior       Full-time    In-person
## 6598            United States           Senior       Full-time    In-person
## 6599            United States           Senior       Full-time    In-person
## 6600            United States           Senior       Full-time    In-person
## 6601            United States           Senior       Full-time    In-person
## 6602            United States           Senior       Full-time    In-person
## 6603            United States        Mid-level       Full-time    In-person
## 6604            United States        Mid-level       Full-time    In-person
## 6605            United States           Senior       Full-time       Remote
## 6606            United States           Senior       Full-time       Remote
## 6607            United States        Mid-level       Full-time    In-person
## 6608            United States        Mid-level       Full-time    In-person
## 6609            United States           Senior       Full-time    In-person
## 6610            United States           Senior       Full-time    In-person
## 6611           United Kingdom        Mid-level       Full-time       Remote
## 6612           United Kingdom        Mid-level       Full-time       Remote
## 6613            United States           Senior       Full-time    In-person
## 6614            United States           Senior       Full-time    In-person
## 6615            United States           Senior       Full-time       Remote
## 6616            United States           Senior       Full-time       Remote
## 6617            United States           Senior       Full-time    In-person
## 6618            United States           Senior       Full-time    In-person
## 6619            United States           Senior       Full-time    In-person
## 6620            United States           Senior       Full-time    In-person
## 6621            United States           Senior       Full-time       Remote
## 6622            United States           Senior       Full-time       Remote
## 6623            United States        Mid-level       Full-time    In-person
## 6624            United States        Mid-level       Full-time    In-person
## 6625            United States           Senior       Full-time       Remote
## 6626            United States           Senior       Full-time       Remote
## 6627           United Kingdom        Mid-level       Full-time    In-person
## 6628           United Kingdom        Mid-level       Full-time    In-person
## 6629            United States           Senior       Full-time    In-person
## 6630            United States           Senior       Full-time    In-person
## 6631            United States      Entry-level       Full-time       Remote
## 6632            United States      Entry-level       Full-time       Remote
## 6633            United States           Senior       Full-time    In-person
## 6634            United States           Senior       Full-time    In-person
## 6635            United States           Senior       Full-time    In-person
## 6636            United States           Senior       Full-time    In-person
## 6637            United States           Senior       Full-time    In-person
## 6638            United States           Senior       Full-time    In-person
## 6639            United States           Senior       Full-time       Remote
## 6640            United States           Senior       Full-time       Remote
## 6641            United States           Senior       Full-time    In-person
## 6642            United States           Senior       Full-time    In-person
## 6643            United States           Senior       Full-time    In-person
## 6644            United States           Senior       Full-time    In-person
## 6645            United States           Senior       Full-time    In-person
## 6646            United States           Senior       Full-time    In-person
## 6647            United States           Senior       Full-time    In-person
## 6648            United States           Senior       Full-time    In-person
## 6649            United States        Mid-level       Full-time    In-person
## 6650            United States        Mid-level       Full-time    In-person
## 6651            United States           Senior       Full-time    In-person
## 6652            United States           Senior       Full-time    In-person
## 6653            United States           Senior       Full-time    In-person
## 6654            United States           Senior       Full-time    In-person
## 6655            United States           Senior       Full-time       Remote
## 6656            United States           Senior       Full-time       Remote
## 6657            United States           Senior       Full-time    In-person
## 6658            United States           Senior       Full-time    In-person
## 6659                    Spain           Senior       Full-time    In-person
## 6660                    Spain           Senior       Full-time    In-person
## 6661            United States           Senior       Full-time    In-person
## 6662            United States           Senior       Full-time    In-person
## 6663                    India      Entry-level       Full-time       Hybrid
## 6664            United States        Mid-level       Full-time    In-person
## 6665            United States        Mid-level       Full-time    In-person
## 6666            United States      Entry-level       Part-time       Remote
## 6667                 Portugal           Senior       Full-time       Remote
## 6668               Uzbekistan        Executive       Full-time    In-person
## 6669            United States           Senior       Full-time       Remote
## 6670            United States           Senior       Full-time       Remote
## 6671            United States           Senior       Full-time       Remote
## 6672            United States           Senior       Full-time       Remote
## 6673                   Mexico           Senior       Full-time       Remote
## 6674                   Mexico           Senior       Full-time       Remote
## 6675            United States           Senior       Full-time       Remote
## 6676            United States           Senior       Full-time       Remote
## 6677            United States      Entry-level       Full-time    In-person
## 6678                  Germany           Senior       Full-time       Remote
## 6679                  Germany      Entry-level       Full-time    In-person
## 6680            United States           Senior       Full-time    In-person
## 6681            United States           Senior       Full-time    In-person
## 6682            United States        Mid-level       Full-time    In-person
## 6683            United States        Mid-level       Full-time    In-person
## 6684            United States           Senior       Full-time    In-person
## 6685            United States           Senior       Full-time    In-person
## 6686            United States           Senior       Full-time    In-person
## 6687            United States           Senior       Full-time    In-person
## 6688            United States           Senior       Full-time    In-person
## 6689            United States           Senior       Full-time    In-person
## 6690                   France        Mid-level       Full-time       Hybrid
## 6691            United States           Senior       Full-time    In-person
## 6692            United States           Senior       Full-time    In-person
## 6693            United States           Senior       Full-time       Remote
## 6694            United States           Senior       Full-time       Remote
## 6695            United States           Senior       Full-time    In-person
## 6696            United States           Senior       Full-time    In-person
## 6697            United States           Senior       Full-time    In-person
## 6698            United States           Senior       Full-time    In-person
## 6699            United States        Executive       Full-time       Remote
## 6700            United States        Executive       Full-time       Remote
## 6701            United States           Senior       Full-time    In-person
## 6702            United States           Senior       Full-time    In-person
## 6703            United States           Senior       Full-time    In-person
## 6704            United States           Senior       Full-time    In-person
## 6705            United States           Senior       Full-time    In-person
## 6706            United States           Senior       Full-time    In-person
## 6707            United States           Senior       Full-time    In-person
## 6708            United States           Senior       Full-time    In-person
## 6709            United States           Senior       Full-time    In-person
## 6710            United States           Senior       Full-time    In-person
## 6711            United States           Senior       Full-time       Remote
## 6712            United States        Mid-level       Full-time    In-person
## 6713            United States        Mid-level       Full-time    In-person
## 6714                  Germany           Senior       Full-time       Remote
## 6715                  Germany           Senior       Full-time       Remote
## 6716                  Germany           Senior       Full-time    In-person
## 6717                  Germany           Senior       Full-time    In-person
## 6718            United States           Senior       Full-time    In-person
## 6719            United States           Senior       Full-time    In-person
## 6720            United States           Senior       Full-time    In-person
## 6721            United States           Senior       Full-time    In-person
## 6722            United States           Senior       Full-time       Remote
## 6723            United States           Senior       Full-time       Remote
## 6724           United Kingdom           Senior       Full-time    In-person
## 6725           United Kingdom           Senior       Full-time    In-person
## 6726           United Kingdom        Executive       Full-time    In-person
## 6727           United Kingdom        Executive       Full-time    In-person
## 6728            United States           Senior       Full-time    In-person
## 6729            United States           Senior       Full-time    In-person
## 6730            United States           Senior       Full-time    In-person
## 6731            United States           Senior       Full-time    In-person
## 6732            United States           Senior       Full-time    In-person
## 6733            United States           Senior       Full-time    In-person
## 6734            United States           Senior       Full-time    In-person
## 6735            United States           Senior       Full-time    In-person
## 6736            United States           Senior       Full-time       Remote
## 6737            United States           Senior       Full-time       Remote
## 6738            United States           Senior       Full-time    In-person
## 6739            United States           Senior       Full-time    In-person
## 6740           United Kingdom        Mid-level       Full-time    In-person
## 6741           United Kingdom        Mid-level       Full-time    In-person
## 6742            United States           Senior       Full-time    In-person
## 6743            United States           Senior       Full-time    In-person
## 6744            United States           Senior       Full-time    In-person
## 6745            United States           Senior       Full-time    In-person
## 6746            United States           Senior       Full-time    In-person
## 6747            United States           Senior       Full-time    In-person
## 6748            United States           Senior       Full-time    In-person
## 6749            United States           Senior       Full-time    In-person
## 6750            United States           Senior       Full-time    In-person
## 6751            United States           Senior       Full-time    In-person
## 6752            United States           Senior       Full-time    In-person
## 6753            United States           Senior       Full-time    In-person
## 6754            United States           Senior       Full-time    In-person
## 6755            United States           Senior       Full-time    In-person
## 6756            United States           Senior       Full-time       Remote
## 6757            United States           Senior       Full-time       Remote
## 6758            United States           Senior       Full-time    In-person
## 6759            United States           Senior       Full-time    In-person
## 6760            United States        Mid-level       Full-time    In-person
## 6761            United States      Entry-level       Full-time       Remote
## 6762                    Spain        Mid-level       Full-time       Hybrid
## 6763            United States           Senior       Full-time    In-person
## 6764            United States           Senior       Full-time    In-person
## 6765            United States           Senior       Full-time    In-person
## 6766            United States           Senior       Full-time    In-person
## 6767            United States           Senior       Full-time    In-person
## 6768            United States           Senior       Full-time    In-person
## 6769            United States           Senior       Full-time       Remote
## 6770            United States           Senior       Full-time       Remote
## 6771            United States           Senior       Full-time    In-person
## 6772            United States           Senior       Full-time    In-person
## 6773            United States           Senior       Full-time    In-person
## 6774            United States           Senior       Full-time    In-person
## 6775            United States           Senior       Full-time       Remote
## 6776            United States           Senior       Full-time       Remote
## 6777            United States           Senior       Full-time    In-person
## 6778            United States           Senior       Full-time    In-person
## 6779                   Canada           Senior       Full-time       Remote
## 6780                   Canada           Senior       Full-time       Remote
## 6781            United States           Senior       Full-time    In-person
## 6782            United States           Senior       Full-time    In-person
## 6783            United States        Mid-level       Full-time       Remote
## 6784            United States        Mid-level       Full-time       Remote
## 6785            United States           Senior       Full-time       Remote
## 6786            United States           Senior       Full-time       Remote
## 6787            United States           Senior       Full-time    In-person
## 6788            United States           Senior       Full-time    In-person
## 6789            United States           Senior       Full-time    In-person
## 6790            United States           Senior       Full-time    In-person
## 6791            United States           Senior       Full-time    In-person
## 6792            United States           Senior       Full-time    In-person
## 6793            United States           Senior       Full-time    In-person
## 6794            United States           Senior       Full-time    In-person
## 6795            United States           Senior       Full-time    In-person
## 6796            United States           Senior       Full-time    In-person
## 6797            United States           Senior       Full-time    In-person
## 6798            United States           Senior       Full-time    In-person
## 6799           United Kingdom        Mid-level       Full-time       Remote
## 6800            United States           Senior       Full-time       Remote
## 6801            United States           Senior       Full-time       Remote
## 6802            United States      Entry-level       Full-time    In-person
## 6803            United States      Entry-level       Full-time    In-person
## 6804            United States           Senior       Full-time    In-person
## 6805            United States           Senior       Full-time    In-person
## 6806            United States           Senior       Full-time       Remote
## 6807            United States           Senior       Full-time       Remote
## 6808            United States           Senior       Full-time    In-person
## 6809            United States           Senior       Full-time    In-person
## 6810                    Ghana        Mid-level       Full-time    In-person
## 6811            United States           Senior       Full-time       Remote
## 6812            United States           Senior       Full-time       Remote
## 6813            United States        Mid-level       Full-time       Remote
## 6814            United States        Mid-level       Full-time       Remote
## 6815            United States           Senior       Full-time       Remote
## 6816            United States           Senior       Full-time       Remote
## 6817            United States        Mid-level       Full-time    In-person
## 6818            United States        Mid-level       Full-time    In-person
## 6819            United States           Senior       Full-time       Remote
## 6820            United States           Senior       Full-time       Remote
## 6821            United States           Senior       Full-time       Remote
## 6822            United States           Senior       Full-time       Remote
## 6823            United States           Senior       Full-time    In-person
## 6824            United States           Senior       Full-time    In-person
## 6825            United States           Senior       Full-time       Remote
## 6826            United States           Senior       Full-time       Remote
## 6827            United States        Mid-level       Full-time    In-person
## 6828            United States        Mid-level       Full-time    In-person
## 6829            United States           Senior       Full-time    In-person
## 6830            United States           Senior       Full-time    In-person
## 6831            United States           Senior       Full-time    In-person
## 6832            United States           Senior       Full-time    In-person
## 6833            United States           Senior       Full-time    In-person
## 6834            United States           Senior       Full-time    In-person
## 6835            United States           Senior       Full-time    In-person
## 6836            United States           Senior       Full-time    In-person
## 6837            United States           Senior       Full-time    In-person
## 6838            United States           Senior       Full-time    In-person
## 6839            United States        Mid-level       Full-time    In-person
## 6840            United States        Mid-level       Full-time    In-person
## 6841            United States           Senior       Full-time       Remote
## 6842            United States           Senior       Full-time       Remote
## 6843            United States           Senior       Full-time    In-person
## 6844            United States           Senior       Full-time    In-person
## 6845            United States        Executive       Full-time       Remote
## 6846            United States        Executive       Full-time       Remote
## 6847            United States           Senior       Full-time       Remote
## 6848            United States           Senior       Full-time       Remote
## 6849            United States           Senior       Full-time    In-person
## 6850            United States           Senior       Full-time    In-person
## 6851            United States        Mid-level       Full-time       Remote
## 6852            United States        Mid-level       Full-time       Remote
## 6853            United States           Senior       Full-time       Remote
## 6854            United States           Senior       Full-time       Remote
## 6855                  Croatia        Mid-level       Full-time    In-person
## 6856                  Croatia        Mid-level       Full-time    In-person
## 6857                   Poland      Entry-level       Part-time       Remote
## 6858                   Brazil      Entry-level       Full-time       Remote
## 6859            United States           Senior       Full-time    In-person
## 6860            United States           Senior       Full-time    In-person
## 6861            United States           Senior       Full-time    In-person
## 6862            United States           Senior       Full-time    In-person
## 6863            United States           Senior       Full-time    In-person
## 6864            United States           Senior       Full-time    In-person
## 6865            United States        Mid-level       Full-time    In-person
## 6866            United States        Mid-level       Full-time    In-person
## 6867                   France           Senior       Full-time       Remote
## 6868                   France           Senior       Full-time       Remote
## 6869            United States           Senior       Full-time    In-person
## 6870            United States           Senior       Full-time    In-person
## 6871            United States           Senior       Full-time    In-person
## 6872            United States           Senior       Full-time    In-person
## 6873            United States           Senior       Full-time       Remote
## 6874            United States           Senior       Full-time       Remote
## 6875            United States           Senior       Full-time    In-person
## 6876            United States           Senior       Full-time    In-person
## 6877            United States           Senior       Full-time       Remote
## 6878            United States           Senior       Full-time       Remote
## 6879            United States           Senior       Full-time       Remote
## 6880            United States           Senior       Full-time       Remote
## 6881            United States        Mid-level       Full-time    In-person
## 6882            United States        Mid-level       Full-time    In-person
## 6883           United Kingdom        Mid-level       Full-time    In-person
## 6884           United Kingdom        Mid-level       Full-time    In-person
## 6885            United States           Senior       Full-time       Remote
## 6886            United States           Senior       Full-time       Remote
## 6887            United States           Senior       Full-time       Remote
## 6888            United States           Senior       Full-time       Remote
## 6889            United States      Entry-level       Full-time       Remote
## 6890            United States      Entry-level       Full-time       Remote
## 6891            United States           Senior       Full-time    In-person
## 6892            United States           Senior       Full-time    In-person
## 6893            United States           Senior       Full-time       Remote
## 6894            United States           Senior       Full-time       Remote
## 6895            United States           Senior       Full-time    In-person
## 6896            United States           Senior       Full-time    In-person
## 6897            United States      Entry-level       Full-time    In-person
## 6898           United Kingdom        Mid-level       Full-time       Remote
## 6899           United Kingdom      Entry-level       Full-time       Remote
## 6900           United Kingdom      Entry-level       Full-time       Remote
## 6901            United States           Senior       Full-time    In-person
## 6902            United States           Senior       Full-time    In-person
## 6903            United States           Senior       Full-time    In-person
## 6904            United States           Senior       Full-time    In-person
## 6905            United States           Senior       Full-time    In-person
## 6906            United States           Senior       Full-time    In-person
## 6907            United States           Senior       Full-time       Remote
## 6908            United States           Senior       Full-time       Remote
## 6909            United States           Senior       Full-time       Remote
## 6910            United States           Senior       Full-time       Remote
## 6911            United States           Senior       Full-time    In-person
## 6912            United States           Senior       Full-time    In-person
## 6913                    Spain           Senior       Full-time       Remote
## 6914                    Spain           Senior       Full-time       Remote
## 6915            United States      Entry-level       Full-time       Remote
## 6916                   Kuwait      Entry-level       Full-time       Hybrid
## 6917            United States           Senior       Full-time    In-person
## 6918            United States           Senior       Full-time    In-person
## 6919            United States           Senior       Full-time    In-person
## 6920            United States           Senior       Full-time    In-person
## 6921           United Kingdom           Senior       Full-time       Remote
## 6922            United States           Senior       Full-time    In-person
## 6923            United States           Senior       Full-time    In-person
## 6924            United States           Senior       Full-time       Remote
## 6925            United States           Senior       Full-time       Remote
## 6926            United States      Entry-level       Full-time       Remote
## 6927            United States      Entry-level       Full-time       Remote
## 6928            United States           Senior       Full-time    In-person
## 6929            United States           Senior       Full-time    In-person
## 6930            United States        Mid-level       Full-time    In-person
## 6931            United States        Mid-level       Full-time    In-person
## 6932            United States           Senior       Full-time       Remote
## 6933            United States           Senior       Full-time       Remote
## 6934            United States           Senior       Full-time    In-person
## 6935            United States           Senior       Full-time    In-person
## 6936            United States           Senior       Full-time       Remote
## 6937            United States           Senior       Full-time       Remote
## 6938                    Spain           Senior       Full-time    In-person
## 6939                    Spain           Senior       Full-time    In-person
## 6940                    Spain           Senior       Full-time    In-person
## 6941                    Spain           Senior       Full-time    In-person
## 6942            United States        Mid-level       Full-time    In-person
## 6943            United States        Mid-level       Full-time    In-person
## 6944            United States           Senior       Full-time    In-person
## 6945            United States           Senior       Full-time    In-person
## 6946            United States           Senior       Full-time       Remote
## 6947            United States           Senior       Full-time       Remote
## 6948            United States           Senior       Full-time       Remote
## 6949                  Ireland           Senior       Full-time       Remote
## 6950            United States           Senior       Full-time    In-person
## 6951            United States           Senior       Full-time    In-person
## 6952            United States        Executive       Full-time    In-person
## 6953            United States        Executive       Full-time    In-person
## 6954            United States           Senior       Full-time       Remote
## 6955            United States           Senior       Full-time       Remote
## 6956            United States           Senior       Full-time       Remote
## 6957            United States           Senior       Full-time       Remote
## 6958            United States           Senior       Full-time       Remote
## 6959            United States           Senior       Full-time       Remote
## 6960            United States           Senior       Full-time    In-person
## 6961            United States           Senior       Full-time    In-person
## 6962            United States           Senior       Full-time       Remote
## 6963            United States           Senior       Full-time       Remote
## 6964            United States        Mid-level       Full-time    In-person
## 6965            United States        Mid-level       Full-time    In-person
## 6966           United Kingdom        Mid-level       Full-time    In-person
## 6967           United Kingdom        Mid-level       Full-time    In-person
## 6968            United States      Entry-level       Full-time    In-person
## 6969            United States      Entry-level       Full-time    In-person
## 6970            United States      Entry-level       Full-time       Hybrid
## 6971            United States           Senior       Full-time    In-person
## 6972            United States           Senior       Full-time    In-person
## 6973            United States           Senior       Full-time       Remote
## 6974            United States           Senior       Full-time       Remote
## 6975            United States           Senior       Full-time       Remote
## 6976            United States           Senior       Full-time       Remote
## 6977            United States           Senior       Full-time    In-person
## 6978            United States           Senior       Full-time    In-person
## 6979            United States        Mid-level       Full-time       Remote
## 6980            United States        Mid-level       Full-time       Remote
## 6981            United States           Senior       Full-time       Remote
## 6982            United States           Senior       Full-time       Remote
## 6983            United States           Senior       Full-time    In-person
## 6984            United States           Senior       Full-time    In-person
## 6985            United States           Senior       Full-time       Remote
## 6986            United States           Senior       Full-time       Remote
## 6987            United States           Senior       Full-time    In-person
## 6988            United States           Senior       Full-time    In-person
## 6989            United States           Senior       Full-time       Remote
## 6990            United States           Senior       Full-time       Remote
## 6991            United States        Executive       Full-time       Remote
## 6992            United States        Executive       Full-time       Remote
## 6993            United States           Senior       Full-time       Remote
## 6994            United States           Senior       Full-time       Remote
## 6995            United States           Senior       Full-time    In-person
## 6996            United States           Senior       Full-time    In-person
## 6997                   Mexico        Mid-level       Full-time       Remote
## 6998            United States           Senior       Full-time    In-person
## 6999            United States           Senior       Full-time    In-person
## 7000            United States           Senior       Full-time    In-person
## 7001            United States           Senior       Full-time    In-person
## 7002            United States           Senior       Full-time       Remote
## 7003            United States           Senior       Full-time       Remote
## 7004           United Kingdom        Mid-level       Full-time    In-person
## 7005           United Kingdom        Mid-level       Full-time    In-person
## 7006            United States           Senior       Full-time    In-person
## 7007            United States           Senior       Full-time    In-person
## 7008           United Kingdom        Mid-level       Full-time    In-person
## 7009           United Kingdom        Mid-level       Full-time    In-person
## 7010              Netherlands           Senior       Full-time       Remote
## 7011            United States      Entry-level       Full-time       Hybrid
## 7012            United States           Senior       Full-time    In-person
## 7013            United States           Senior       Full-time    In-person
## 7014           United Kingdom        Mid-level       Full-time       Remote
## 7015           United Kingdom        Mid-level       Full-time       Remote
## 7016           United Kingdom        Mid-level       Full-time    In-person
## 7017           United Kingdom        Mid-level       Full-time    In-person
## 7018            United States        Executive       Full-time       Remote
## 7019            United States        Executive       Full-time       Remote
## 7020                   Canada           Senior       Full-time    In-person
## 7021                   Canada           Senior       Full-time    In-person
## 7022            United States           Senior       Full-time    In-person
## 7023            United States           Senior       Full-time    In-person
## 7024            United States        Mid-level       Full-time       Remote
## 7025            United States        Mid-level       Full-time       Remote
## 7026                    Spain        Mid-level       Full-time       Remote
## 7027                    Spain        Mid-level       Full-time       Remote
## 7028                   Canada           Senior       Full-time       Hybrid
## 7029              Netherlands           Senior       Full-time       Hybrid
## 7030            United States           Senior       Full-time    In-person
## 7031            United States           Senior       Full-time    In-person
## 7032           United Kingdom           Senior       Full-time    In-person
## 7033           United Kingdom           Senior       Full-time    In-person
## 7034                  Germany      Entry-level       Full-time       Remote
## 7035            United States      Entry-level       Full-time       Remote
## 7036            United States        Mid-level       Full-time    In-person
## 7037            United States        Mid-level       Full-time    In-person
## 7038            United States           Senior       Full-time       Remote
## 7039            United States           Senior       Full-time       Remote
## 7040            United States        Executive       Full-time    In-person
## 7041            United States        Executive       Full-time    In-person
## 7042            United States           Senior       Full-time    In-person
## 7043            United States           Senior       Full-time    In-person
## 7044            United States           Senior       Full-time    In-person
## 7045            United States           Senior       Full-time    In-person
## 7046            United States           Senior       Full-time       Remote
## 7047            United States           Senior       Full-time       Remote
## 7048            United States           Senior       Full-time    In-person
## 7049            United States           Senior       Full-time    In-person
## 7050            United States           Senior       Full-time    In-person
## 7051            United States           Senior       Full-time    In-person
## 7052            United States           Senior       Full-time    In-person
## 7053            United States           Senior       Full-time    In-person
## 7054            United States           Senior       Full-time    In-person
## 7055            United States           Senior       Full-time    In-person
## 7056            United States           Senior       Full-time    In-person
## 7057            United States           Senior       Full-time    In-person
## 7058            United States        Mid-level       Full-time    In-person
## 7059            United States        Mid-level       Full-time    In-person
## 7060            United States           Senior       Full-time       Remote
## 7061            United States           Senior       Full-time       Remote
## 7062            United States        Executive       Full-time    In-person
## 7063            United States        Executive       Full-time    In-person
## 7064            United States           Senior       Full-time    In-person
## 7065            United States           Senior       Full-time    In-person
## 7066            United States           Senior       Full-time    In-person
## 7067            United States           Senior       Full-time    In-person
## 7068            United States           Senior       Full-time    In-person
## 7069            United States           Senior       Full-time    In-person
## 7070            United States           Senior       Full-time    In-person
## 7071            United States           Senior       Full-time    In-person
## 7072            United States           Senior       Full-time    In-person
## 7073            United States           Senior       Full-time    In-person
## 7074                    India        Mid-level       Full-time       Remote
## 7075            United States        Mid-level       Full-time       Remote
## 7076            United States           Senior       Full-time       Remote
## 7077            United States           Senior       Full-time       Remote
## 7078            United States        Mid-level       Full-time    In-person
## 7079            United States        Mid-level       Full-time    In-person
## 7080            United States           Senior       Full-time    In-person
## 7081            United States           Senior       Full-time    In-person
## 7082            United States           Senior       Full-time    In-person
## 7083            United States           Senior       Full-time    In-person
## 7084            United States        Executive       Full-time    In-person
## 7085            United States        Executive       Full-time    In-person
## 7086            United States           Senior       Full-time    In-person
## 7087            United States           Senior       Full-time    In-person
## 7088            United States           Senior       Full-time       Remote
## 7089            United States           Senior       Full-time       Remote
## 7090            United States      Entry-level       Full-time    In-person
## 7091            United States      Entry-level       Full-time    In-person
## 7092            United States        Executive       Full-time    In-person
## 7093            United States        Executive       Full-time    In-person
## 7094            United States        Mid-level       Full-time    In-person
## 7095            United States        Mid-level       Full-time    In-person
## 7096            United States           Senior       Full-time    In-person
## 7097            United States           Senior       Full-time    In-person
## 7098            United States           Senior       Full-time    In-person
## 7099            United States           Senior       Full-time    In-person
## 7100                   Sweden      Entry-level       Full-time       Remote
## 7101            United States           Senior       Full-time    In-person
## 7102            United States           Senior       Full-time    In-person
## 7103            United States      Entry-level       Full-time    In-person
## 7104            United States      Entry-level       Full-time    In-person
## 7105            United States           Senior       Full-time    In-person
## 7106            United States           Senior       Full-time    In-person
## 7107            United States           Senior       Full-time    In-person
## 7108            United States           Senior       Full-time    In-person
## 7109            United States           Senior       Full-time    In-person
## 7110            United States           Senior       Full-time    In-person
## 7111            United States           Senior       Full-time    In-person
## 7112            United States           Senior       Full-time    In-person
## 7113            United States           Senior       Full-time    In-person
## 7114            United States           Senior       Full-time    In-person
## 7115            United States        Executive       Full-time       Remote
## 7116            United States        Executive       Full-time       Remote
## 7117            United States           Senior       Full-time       Remote
## 7118            United States           Senior       Full-time       Remote
## 7119            United States        Mid-level       Full-time       Remote
## 7120            United States        Mid-level       Full-time       Remote
## 7121            United States           Senior       Full-time    In-person
## 7122            United States           Senior       Full-time    In-person
## 7123            United States           Senior       Full-time       Remote
## 7124            United States           Senior       Full-time       Remote
## 7125            United States           Senior       Full-time    In-person
## 7126            United States           Senior       Full-time    In-person
## 7127            United States           Senior       Full-time    In-person
## 7128            United States           Senior       Full-time    In-person
## 7129            United States        Mid-level       Full-time    In-person
## 7130            United States        Mid-level       Full-time    In-person
## 7131            United States        Mid-level       Full-time       Remote
## 7132                Singapore      Entry-level       Full-time       Hybrid
## 7133                   Cyprus           Senior       Full-time       Hybrid
## 7134            United States           Senior       Full-time       Remote
## 7135            United States           Senior       Full-time       Remote
## 7136            United States           Senior       Full-time       Remote
## 7137            United States           Senior       Full-time       Remote
## 7138            United States           Senior       Full-time    In-person
## 7139            United States           Senior       Full-time    In-person
## 7140            United States           Senior       Full-time       Remote
## 7141            United States           Senior       Full-time       Remote
## 7142            United States           Senior       Full-time       Remote
##              company_location company_size Salary_Level      pvalues
## 1                     Germany            L          Low 7.018265e-01
## 2               United States            M         High 9.558226e-01
## 3               United States            M          Low 7.586699e-01
## 4               United States            M         High 8.116011e-01
## 5               United States            M          Low 8.458832e-01
## 6               United States            M          Low 9.912530e-01
## 7               United States            M          Low 8.883857e-01
## 8               United States            M         High 7.103571e-01
## 9               United States            M          Low 9.982435e-01
## 10              United States            M         High 8.263115e-01
## 11              United States            M         High 9.940326e-01
## 12              United States            M         High 7.103571e-01
## 13              United States            M          Low 9.982435e-01
## 14             United Kingdom            M          Low 2.871634e-01
## 15             United Kingdom            M          Low 2.754658e-01
## 16              United States            M          Low 8.573037e-01
## 17              United States            M          Low 7.005497e-01
## 18              United States            M         High 1.315857e-01
## 19              United States            M         High 6.238375e-01
## 20              United States            M          Low 9.987416e-01
## 21              United States            M          Low 9.723657e-01
## 22              United States            M         High 8.639376e-01
## 23              United States            M          Low 9.993481e-01
## 24              United States            M         High 9.998241e-01
## 25              United States            M          Low 9.385592e-01
## 26              United States            M         High 3.355838e-01
## 27              United States            M         High 9.999621e-01
## 28              United States            L         High 7.293893e-01
## 29              United States            L          Low 9.968132e-01
## 30              United States            M         High 2.836658e-01
## 31              United States            M         High 9.677888e-01
## 32              United States            M         High 9.945041e-01
## 33              United States            M          Low 9.228683e-01
## 34              United States            M         High 9.561671e-01
## 35              United States            M          Low 9.903533e-01
## 36              United States            L         High 9.591944e-01
## 37              United States            L          Low 7.402998e-01
## 38              United States            M          Low 9.772522e-01
## 39              United States            M          Low 8.539882e-01
## 40              United States            M         High 5.007853e-01
## 41              United States            M          Low 9.986366e-01
## 42              United States            M         High 9.825796e-01
## 43              United States            M          Low 8.883857e-01
## 44              United States            M         High 8.639376e-01
## 45              United States            M          Low 9.993481e-01
## 46              United States            L         High 4.980406e-01
## 47              United States            L          Low 9.874580e-01
## 48              United States            M         High 7.190550e-01
## 49              United States            M         High 9.551289e-01
## 50              United States            M         High 9.945041e-01
## 51              United States            M          Low 9.228683e-01
## 52              United States            M         High 9.561671e-01
## 53              United States            M          Low 9.903533e-01
## 54              United States            M          Low 6.738238e-01
## 55              United States            M          Low 6.005662e-01
## 56              United States            M         High 9.741377e-01
## 57              United States            M         High 9.996416e-01
## 58              United States            M         High 2.194649e-01
## 59              United States            M         High 9.459079e-01
## 60              United States            M          Low 9.944879e-01
## 61              United States            M          Low 5.485856e-01
## 62              United States            M          Low 9.991324e-01
## 63              United States            M          Low 9.594879e-01
## 64              United States            M          Low 8.883857e-01
## 65              United States            M          Low 7.005497e-01
## 66                     Canada            M         High 3.355838e-01
## 67                     Canada            M         High 9.997118e-01
## 68             United Kingdom            M          Low 2.584657e-01
## 69             United Kingdom            M          Low 2.912477e-01
## 70              United States            M         High 1.933295e-01
## 71              United States            M         High 9.997256e-01
## 72              United States            M          Low 8.225543e-01
## 73              United States            M          Low 6.557318e-01
## 74              United States            M         High 8.970492e-01
## 75              United States            M         High 9.981643e-01
## 76              United States            M         High 9.907892e-01
## 77              United States            M          Low 9.537411e-01
## 78              United States            M         High 9.624061e-01
## 79              United States            M          Low 9.794758e-01
## 80              United States            M         High 6.076750e-01
## 81              United States            M         High 9.857670e-01
## 82              United States            M         High 9.964950e-01
## 83              United States            M          Low 9.691454e-01
## 84              United States            M         High 7.051030e-01
## 85              United States            M         High 9.999765e-01
## 86              United States            M         High 7.971577e-01
## 87              United States            M          Low 9.632841e-01
## 88              United States            M         High 7.480174e-01
## 89              United States            M         High 9.999765e-01
## 90              United States            M         High 9.999765e-01
## 91              United States            M          Low 8.883857e-01
## 92              United States            M         High 4.989552e-01
## 93              United States            M         High 9.889925e-01
## 94              United States            M         High 9.998241e-01
## 95              United States            M          Low 9.723657e-01
## 96              United States            M         High 6.900821e-01
## 97              United States            M          Low 9.947591e-01
## 98              United States            M         High 9.624061e-01
## 99              United States            M          Low 9.794758e-01
## 100             United States            M          Low 9.912530e-01
## 101             United States            M          Low 9.638984e-01
## 102             United States            M         High 9.989095e-01
## 103             United States            M          Low 9.987416e-01
## 104             United States            M         High 9.957694e-01
## 105             United States            M          Low 6.827922e-01
## 106             United States            M         High 9.561671e-01
## 107             United States            M          Low 9.903533e-01
## 108             United States            M          Low 9.912530e-01
## 109             United States            M          Low 9.104205e-01
## 110             United States            M          Low 9.995051e-01
## 111             United States            M          Low 9.607635e-01
## 112             United States            M         High 9.964950e-01
## 113             United States            M          Low 9.691454e-01
## 114             United States            M         High 7.480174e-01
## 115             United States            M         High 9.736875e-01
## 116             United States            M         High 9.624061e-01
## 117             United States            M          Low 9.794758e-01
## 118             United States            M         High 7.885974e-01
## 119             United States            M         High 8.913819e-01
## 120             United States            M         High 4.492811e-01
## 121             United States            M          Low 9.924405e-01
## 122             United States            M         High 7.480174e-01
## 123             United States            M         High 9.825796e-01
## 124            United Kingdom            M          Low 2.925333e-01
## 125            United Kingdom            M          Low 2.754658e-01
## 126             United States            M         High 8.263115e-01
## 127             United States            M         High 9.999163e-01
## 128             United States            M         High 9.558226e-01
## 129             United States            M         High 9.985699e-01
## 130             United States            M         High 8.606973e-01
## 131             United States            M         High 9.999621e-01
## 132                    Canada            M         High 7.480174e-01
## 133                    Canada            M         High 9.407075e-01
## 134             United States            M         High 8.606973e-01
## 135             United States            M         High 9.999621e-01
## 136             United States            M          Low 9.974100e-01
## 137             United States            M          Low 9.385592e-01
## 138             United States            M         High 9.892790e-01
## 139             United States            M         High 9.998604e-01
## 140             United States            M         High 9.999508e-01
## 141             United States            M          Low 8.824777e-01
## 142             United States            M         High 9.999765e-01
## 143             United States            M          Low 9.912530e-01
## 144             United States            M          Low 9.155231e-01
## 145             United States            M          Low 8.824777e-01
## 146             United States            M          Low 4.942249e-01
## 147             United States            M         High 9.723752e-01
## 148             United States            M          Low 9.312272e-01
## 149             United States            M         High 8.263115e-01
## 150             United States            M         High 9.999163e-01
## 151             United States            M         High 1.780164e-01
## 152             United States            M         High 9.095505e-01
## 153             United States            M         High 7.480174e-01
## 154             United States            M         High 9.825796e-01
## 155             United States            M         High 9.844512e-01
## 156             United States            M          Low 9.912530e-01
## 157             United States            M         High 9.591944e-01
## 158             United States            M         High 9.999765e-01
## 159             United States            M         High 9.997773e-01
## 160             United States            M          Low 9.574692e-01
## 161             United States            M          Low 9.944879e-01
## 162             United States            M          Low 5.476583e-01
## 163             United States            M          Low 9.574692e-01
## 164             United States            M          Low 8.573037e-01
## 165            United Kingdom            M          Low 9.723261e-02
## 166            United Kingdom            M          Low 2.808807e-01
## 167                     Spain            M          Low 3.908828e-01
## 168                     Spain            M          Low 3.062333e-01
## 169            United Kingdom            M          Low 1.732619e-01
## 170            United Kingdom            M          Low 2.694249e-01
## 171            United Kingdom            M          Low 1.732619e-01
## 172            United Kingdom            M          Low 2.694249e-01
## 173                   Ireland            L          Low 6.133108e-01
## 174                    Canada            M         High 2.439774e-36
## 175                    Canada            M          Low 3.662300e-04
## 176             United States            M         High 6.577097e-01
## 177             United States            M          Low 9.987416e-01
## 178              South Africa            M          Low 9.833773e-01
## 179              South Africa            M          Low 7.097662e-01
## 180             United States            M         High 7.068572e-01
## 181             United States            M          Low 9.925531e-01
## 182             United States            M         High 4.055692e-01
## 183             United States            M         High 9.906392e-01
## 184             United States            M         High 9.130823e-01
## 185             United States            M          Low 9.748831e-01
## 186             United States            M         High 9.140989e-01
## 187             United States            M         High 9.899741e-01
## 188             United States            M         High 9.957694e-01
## 189             United States            M          Low 6.836860e-01
## 190             United States            M         High 7.480174e-01
## 191             United States            M         High 9.989095e-01
## 192             United States            M          Low 7.845206e-01
## 193             United States            M          Low 6.098248e-01
## 194             United States            M         High 7.480174e-01
## 195             United States            M          Low 8.883857e-01
## 196             United States            M         High 9.591944e-01
## 197             United States            M         High 9.999621e-01
## 198             United States            M         High 7.480174e-01
## 199             United States            M          Low 8.883857e-01
## 200                     Spain            M          Low 4.304619e-01
## 201                     Spain            M          Low 3.595247e-01
## 202             United States            M         High 7.480174e-01
## 203             United States            M          Low 8.883857e-01
## 204             United States            M         High 7.480174e-01
## 205             United States            M          Low 8.883857e-01
## 206             United States            M         High 7.480174e-01
## 207             United States            M          Low 8.883857e-01
## 208                    Poland            M          Low 9.385592e-01
## 209                    Poland            M          Low 7.436734e-01
## 210            United Kingdom            S          Low 2.754658e-01
## 211             United States            M         High 9.999767e-01
## 212             United States            M          Low 6.648020e-01
## 213             United States            M         High 9.947748e-01
## 214             United States            M          Low 9.748831e-01
## 215             United States            M          Low 9.944879e-01
## 216             United States            M          Low 5.485856e-01
## 217             United States            M          Low 9.961307e-01
## 218             United States            M          Low 9.385592e-01
## 219            United Kingdom            M          Low 1.195016e-01
## 220            United Kingdom            M          Low 2.502084e-01
## 221             United States            M         High 9.507750e-01
## 222             United States            M          Low 9.542962e-01
## 223             United States            M         High 9.507750e-01
## 224             United States            M          Low 9.542962e-01
## 225             United States            M         High 9.957694e-01
## 226             United States            M          Low 6.836860e-01
## 227                    Canada            M         High 1.063127e-01
## 228                    Canada            M         High 9.933289e-01
## 229             United States            M         High 9.507750e-01
## 230             United States            M          Low 9.542962e-01
## 231            United Kingdom            M          Low 2.649804e-01
## 232            United Kingdom            M          Low 2.649804e-01
## 233             United States            M         High 9.964950e-01
## 234             United States            M          Low 9.987416e-01
## 235             United States            M         High 9.999765e-01
## 236             United States            M         High 9.949503e-01
## 237             United States            M          Low 9.748831e-01
## 238             United States            L         High 9.591944e-01
## 239             United States            L          Low 7.402998e-01
## 240             United States            M         High 9.398827e-01
## 241             United States            M          Low 8.579624e-01
## 242             United States            M          Low 9.944879e-01
## 243             United States            M          Low 5.485856e-01
## 244             United States            M          Low 8.225543e-01
## 245             United States            M          Low 6.557318e-01
## 246             United States            M         High 9.957694e-01
## 247             United States            M          Low 6.836860e-01
## 248             United States            M          Low 9.961307e-01
## 249             United States            M          Low 8.883857e-01
## 250            United Kingdom            M         High 9.723752e-01
## 251            United Kingdom            M          Low 9.312272e-01
## 252             United States            M         High 1.591088e-01
## 253             United States            M         High 9.321614e-01
## 254             United States            M         High 3.395267e-01
## 255             United States            M         High 9.949503e-01
## 256             United States            M         High 8.913819e-01
## 257             United States            M         High 9.999765e-01
## 258             United States            M         High 9.972498e-01
## 259             United States            M          Low 8.092176e-01
## 260             United States            M         High 9.726697e-01
## 261             United States            M          Low 9.982859e-01
## 262            United Kingdom            M          Low 2.694249e-01
## 263            United Kingdom            M          Low 2.912477e-01
## 264             United States            M         High 6.764973e-02
## 265             United States            M         High 8.541058e-01
## 266             United States            M         High 7.885974e-01
## 267             United States            M          Low 9.993040e-01
## 268             United States            M         High 3.395267e-01
## 269             United States            M         High 9.949503e-01
## 270             United States            M          Low 9.987853e-01
## 271             United States            M          Low 7.834920e-01
## 272             United States            M         High 9.777484e-01
## 273             United States            M          Low 9.175181e-01
## 274             United States            L         High 7.293893e-01
## 275             United States            L          Low 9.968132e-01
## 276             United States            M         High 7.885974e-01
## 277             United States            M          Low 9.993040e-01
## 278             United States            M         High 5.682427e-01
## 279             United States            M         High 8.263115e-01
## 280             United States            M          Low 9.772522e-01
## 281             United States            M          Low 8.539882e-01
## 282             United States            M         High 9.999765e-01
## 283             United States            M          Low 9.607635e-01
## 284             United States            M          Low 8.225543e-01
## 285             United States            M         High 9.997773e-01
## 286             United States            M          Low 9.885274e-01
## 287             United States            M         High 9.998923e-01
## 288             United States            M          Low 9.853060e-01
## 289             United States            M         High 5.682427e-01
## 290             United States            M         High 9.995510e-01
## 291             United States            M         High 7.509405e-01
## 292             United States            M          Low 9.968132e-01
## 293             United States            M         High 9.999765e-01
## 294             United States            M         High 9.736875e-01
## 295             United States            M          Low 9.834994e-01
## 296             United States            L         High 4.980406e-01
## 297             United States            L          Low 9.874580e-01
## 298             United States            M          Low 5.634352e-01
## 299             United States            M          Low 5.171519e-01
## 300             United States            M         High 4.762059e-01
## 301             United States            M          Low 9.834994e-01
## 302             United States            M         High 9.407075e-01
## 303             United States            M         High 9.918818e-01
## 304             United States            M         High 8.759069e-01
## 305             United States            M         High 9.932241e-01
## 306             United States            M          Low 9.935172e-01
## 307             United States            M          Low 9.426696e-01
## 308             United States            M         High 8.734328e-01
## 309             United States            M          Low 9.869807e-01
## 310             United States            M          Low 9.835162e-01
## 311             United States            M          Low 7.712380e-01
## 312             United States            M          Low 9.473844e-01
## 313             United States            M          Low 8.354645e-01
## 314             United States            M         High 8.913819e-01
## 315             United States            M         High 9.989095e-01
## 316                    France            M         High 5.845922e-01
## 317             United States            M         High 9.591944e-01
## 318             United States            M         High 9.999765e-01
## 319             United States            M         High 9.989095e-01
## 320             United States            M          Low 9.912530e-01
## 321             United States            M         High 9.997773e-01
## 322             United States            M          Low 9.574692e-01
## 323             United States            M          Low 9.944879e-01
## 324             United States            M          Low 5.476583e-01
## 325             United States            M         High 4.404131e-01
## 326             United States            M         High 9.991890e-01
## 327             United States            M         High 9.918818e-01
## 328             United States            M          Low 7.845206e-01
## 329             United States            M          Low 9.918609e-01
## 330             United States            M          Low 9.607635e-01
## 331             United States            M          Low 7.553642e-01
## 332             United States            M          Low 4.140270e-01
## 333             United States            M         High 9.930114e-01
## 334             United States            M          Low 8.368718e-01
## 335             United States            M         High 9.957694e-01
## 336             United States            M          Low 6.836860e-01
## 337             United States            M         High 9.407075e-01
## 338             United States            M         High 9.964950e-01
## 339             United States            M         High 1.092509e-01
## 340             United States            M         High 9.998968e-01
## 341             United States            M         High 9.999765e-01
## 342             United States            M          Low 9.723657e-01
## 343             United States            M         High 2.723230e-01
## 344             United States            M         High 9.998857e-01
## 345             United States            M         High 8.369956e-01
## 346             United States            M         High 9.964950e-01
## 347             United States            M         High 3.995849e-01
## 348             United States            M         High 9.885535e-01
## 349             United States            M         High 9.999765e-01
## 350             United States            M          Low 9.912530e-01
## 351             United States            M         High 9.591944e-01
## 352             United States            M         High 9.999765e-01
## 353             United States            M         High 9.957694e-01
## 354             United States            M          Low 6.836860e-01
## 355             United States            M         High 9.014675e-01
## 356             United States            M          Low 9.393945e-01
## 357             United States            M         High 9.957694e-01
## 358             United States            M          Low 6.836860e-01
## 359             United States            M         High 8.116011e-01
## 360             United States            M          Low 8.458832e-01
## 361             United States            M         High 8.116011e-01
## 362             United States            M          Low 8.458832e-01
## 363             United States            M         High 9.957694e-01
## 364             United States            M          Low 6.836860e-01
## 365             United States            M         High 9.948630e-01
## 366             United States            M          Low 9.442676e-01
## 367             United States            M          Low 9.944879e-01
## 368             United States            M          Low 5.485856e-01
## 369             United States            M         High 9.957694e-01
## 370             United States            M          Low 6.836860e-01
## 371             United States            M         High 9.918818e-01
## 372             United States            M         High 9.997773e-01
## 373             United States            M         High 8.116011e-01
## 374             United States            M          Low 8.458832e-01
## 375             United States            M         High 9.918818e-01
## 376             United States            M          Low 9.961307e-01
## 377             United States            M         High 9.997773e-01
## 378             United States            M          Low 9.574692e-01
## 379             United States            M          Low 9.986758e-01
## 380             United States            M          Low 8.594390e-01
## 381             United States            M         High 2.471449e-01
## 382             United States            M         High 9.991111e-01
## 383                    Canada            M         High 6.900821e-01
## 384                    Canada            M         High 9.999735e-01
## 385             United States            M         High 5.007853e-01
## 386             United States            M          Low 9.986366e-01
## 387             United States            M         High 9.485928e-01
## 388             United States            M          Low 9.983686e-01
## 389             United States            M         High 9.999765e-01
## 390             United States            M         High 9.989095e-01
## 391             United States            M          Low 8.506363e-01
## 392             United States            M          Low 9.869807e-01
## 393             United States            M          Low 6.098248e-01
## 394             United States            M         High 2.653722e-01
## 395             United States            M         High 9.861891e-01
## 396             United States            L         High 3.885688e-01
## 397             United States            L          Low 9.968132e-01
## 398             United States            M         High 4.762059e-01
## 399             United States            M         High 8.263115e-01
## 400             United States            M         High 9.485928e-01
## 401             United States            M          Low 9.983686e-01
## 402             United States            M         High 5.868166e-01
## 403             United States            M         High 9.825796e-01
## 404             United States            M         High 8.639376e-01
## 405             United States            M          Low 9.993481e-01
## 406             United States            M         High 8.116011e-01
## 407             United States            M         High 9.407075e-01
## 408             United States            L         High 3.760225e-01
## 409             United States            L          Low 9.957558e-01
## 410             United States            L         High 5.775310e-01
## 411             United States            L          Low 9.792599e-01
## 412             United States            M          Low 9.574692e-01
## 413             United States            M          Low 8.573037e-01
## 414                    Canada            M         High 9.993080e-01
## 415                    Canada            M          Low 9.574692e-01
## 416             United States            M         High 4.118738e-02
## 417             United States            M         High 3.260623e-01
## 418             United States            M         High 9.736875e-01
## 419             United States            M          Low 8.225543e-01
## 420             United States            M          Low 7.684905e-01
## 421             United States            M          Low 6.190641e-01
## 422             United States            M         High 7.116666e-01
## 423             United States            M          Low 9.762043e-01
## 424             United States            M         High 9.957694e-01
## 425             United States            M          Low 6.836860e-01
## 426             United States            M          Low 9.991324e-01
## 427             United States            M          Low 9.594879e-01
## 428             United States            M          Low 9.342832e-01
## 429             United States            M          Low 8.883857e-01
## 430             United States            M         High 8.580784e-01
## 431             United States            M          Low 8.431357e-01
## 432             United States            M         High 7.480174e-01
## 433             United States            M          Low 9.912530e-01
## 434             United States            M         High 9.989095e-01
## 435             United States            M          Low 9.385592e-01
## 436             United States            M         High 6.604326e-01
## 437             United States            M          Low 8.883857e-01
## 438             United States            M         High 9.557190e-01
## 439             United States            M          Low 9.393945e-01
## 440             United States            M          Low 9.912530e-01
## 441             United States            M          Low 8.883857e-01
## 442             United States            M         High 5.496766e-01
## 443             United States            M          Low 9.214289e-01
## 444             United States            M         High 7.480174e-01
## 445             United States            M          Low 9.723657e-01
## 446             United States            M         High 4.055692e-01
## 447             United States            M         High 9.906392e-01
## 448             United States            M          Low 8.312097e-01
## 449             United States            M          Low 5.467311e-01
## 450             United States            M         High 9.321614e-01
## 451             United States            M         High 9.784212e-01
## 452             United States            M         High 8.263115e-01
## 453             United States            M          Low 9.912530e-01
## 454             United States            M         High 9.989095e-01
## 455             United States            M         High 9.999765e-01
## 456             United States            L         High 3.885688e-01
## 457             United States            L          Low 9.968132e-01
## 458             United States            M         High 8.541058e-01
## 459             United States            M          Low 9.953574e-01
## 460             United States            M         High 9.736875e-01
## 461             United States            M          Low 9.961307e-01
## 462             United States            M         High 8.913819e-01
## 463             United States            M          Low 9.723657e-01
## 464             United States            M         High 8.116011e-01
## 465             United States            M          Low 8.458832e-01
## 466             United States            M          Low 9.238196e-01
## 467             United States            M          Low 5.420972e-01
## 468             United States            M         High 3.363705e-01
## 469             United States            M         High 9.873281e-01
## 470             United States            M          Low 9.834994e-01
## 471             United States            M          Low 8.883857e-01
## 472             United States            L         High 9.960706e-01
## 473             United States            L          Low 6.172180e-01
## 474             United States            M         High 8.234112e-01
## 475             United States            M         High 9.912749e-01
## 476             United States            M         High 8.116011e-01
## 477             United States            M          Low 8.458832e-01
## 478             United States            M         High 9.918818e-01
## 479             United States            M         High 9.989095e-01
## 480             United States            M         High 9.578650e-01
## 481             United States            M          Low 7.564899e-01
## 482             United States            M         High 9.276397e-01
## 483             United States            M         High 9.994141e-01
## 484             United States            M         High 9.918818e-01
## 485             United States            M          Low 8.883857e-01
## 486             United States            L         High 7.293893e-01
## 487             United States            L          Low 9.968132e-01
## 488             United States            M         High 9.999508e-01
## 489             United States            M          Low 8.824777e-01
## 490             United States            M         High 8.639376e-01
## 491             United States            M          Low 9.993481e-01
## 492             United States            M          Low 8.573037e-01
## 493             United States            M          Low 7.005497e-01
## 494             United States            M          Low 9.574692e-01
## 495             United States            M          Low 9.155231e-01
## 496             United States            M         High 9.140989e-01
## 497             United States            M         High 9.982080e-01
## 498             United States            M          Low 8.225543e-01
## 499             United States            M          Low 7.436734e-01
## 500             United States            M         High 9.299213e-01
## 501             United States            M          Low 9.987416e-01
## 502             United States            M          Low 8.883857e-01
## 503             United States            M          Low 7.005497e-01
## 504             United States            M         High 9.930114e-01
## 505             United States            M          Low 8.297805e-01
## 506                    Canada            M         High 7.758993e-01
## 507                    Canada            M         High 9.997118e-01
## 508             United States            M         High 9.999765e-01
## 509             United States            M          Low 9.723657e-01
## 510             United States            M          Low 9.944879e-01
## 511             United States            M          Low 5.485856e-01
## 512             United States            M         High 9.957694e-01
## 513             United States            M          Low 6.836860e-01
## 514             United States            M         High 9.957694e-01
## 515             United States            M          Low 6.836860e-01
## 516             United States            M         High 3.393428e-02
## 517             United States            M         High 9.761277e-01
## 518             United States            M         High 1.476405e-01
## 519             United States            M         High 9.990282e-01
## 520             United States            M         High 8.116011e-01
## 521             United States            M          Low 8.458832e-01
## 522             United States            M         High 8.639376e-01
## 523             United States            M          Low 9.993481e-01
## 524             United States            M         High 4.012910e-01
## 525             United States            M         High 6.918591e-01
## 526             United States            M         High 5.012431e-01
## 527             United States            M          Low 9.680230e-01
## 528             United States            M         High 9.989095e-01
## 529             United States            M          Low 9.987416e-01
## 530             United States            M         High 8.116011e-01
## 531             United States            M          Low 8.465665e-01
## 532            United Kingdom            M         High 2.192444e-03
## 533            United Kingdom            M          Low 5.608233e-02
## 534             United States            M         High 7.563380e-01
## 535             United States            M          Low 9.935172e-01
## 536             United States            M          Low 9.918609e-01
## 537             United States            M          Low 9.607635e-01
## 538             United States            M         High 5.741659e-02
## 539             United States            M         High 9.601747e-01
## 540             United States            M         High 4.762059e-01
## 541             United States            M         High 8.913819e-01
## 542             United States            M          Low 9.968132e-01
## 543             United States            M          Low 8.297805e-01
## 544             United States            M         High 9.561671e-01
## 545             United States            M          Low 9.903533e-01
## 546                    Canada            M          Low 9.995051e-01
## 547                    Canada            M          Low 7.266652e-01
## 548             United States            M          Low 9.961307e-01
## 549             United States            M          Low 9.385592e-01
## 550                    Canada            M          Low 9.993040e-01
## 551                    Canada            M          Low 9.008243e-01
## 552             United States            M          Low 9.976780e-01
## 553             United States            M          Low 7.561921e-01
## 554             United States            M         High 8.795718e-01
## 555             United States            M         High 9.999163e-01
## 556             United States            M          Low 9.987416e-01
## 557             United States            M          Low 9.834994e-01
## 558             United States            M         High 9.911187e-01
## 559             United States            M          Low 9.884530e-01
## 560            United Kingdom            M          Low 5.608233e-02
## 561            United Kingdom            M          Low 2.007518e-01
## 562             United States            M          Low 7.865406e-01
## 563             United States            M          Low 6.703565e-01
## 564             United States            L          Low 8.883857e-01
## 565             United States            S          Low 8.883857e-01
## 566             United States            M         High 9.591944e-01
## 567             United States            M          Low 9.834994e-01
## 568             United States            M          Low 5.634352e-01
## 569             United States            M          Low 4.896651e-01
## 570             United States            M         High 1.315857e-01
## 571             United States            M         High 3.885688e-01
## 572             United States            M         High 7.051030e-01
## 573             United States            M         High 9.918818e-01
## 574             United States            M          Low 8.883857e-01
## 575             United States            M          Low 7.436734e-01
## 576             United States            M         High 8.639376e-01
## 577             United States            M          Low 9.993481e-01
## 578             United States            M          Low 9.961307e-01
## 579             United States            M          Low 8.883857e-01
## 580             United States            M         High 1.434988e-01
## 581             United States            M         High 9.014675e-01
## 582             United States            M         High 5.682427e-01
## 583             United States            M         High 9.407075e-01
## 584             United States            L         High 9.591944e-01
## 585             United States            L          Low 7.402998e-01
## 586             United States            L         High 7.293893e-01
## 587             United States            L          Low 9.968132e-01
## 588             United States            M          Low 9.385592e-01
## 589             United States            M          Low 8.573037e-01
## 590             United States            M         High 5.587770e-02
## 591             United States            M         High 9.991890e-01
## 592                    Canada            M         High 8.425672e-01
## 593                    Canada            M          Low 9.951068e-01
## 594             United States            M          Low 6.648020e-01
## 595             United States            M          Low 5.356160e-01
## 596             United States            L         High 7.293893e-01
## 597             United States            L          Low 9.968132e-01
## 598             United States            M         High 8.913819e-01
## 599             United States            M         High 9.999765e-01
## 600             United States            M          Low 5.541517e-01
## 601             United States            M          Low 4.715285e-01
## 602             United States            M         High 6.238375e-01
## 603             United States            M         High 8.404883e-01
## 604             United States            M         High 9.522892e-01
## 605             United States            M          Low 9.885274e-01
## 606             United States            M         High 8.795718e-01
## 607             United States            M         High 9.999163e-01
## 608                    Canada            L          Low 4.715285e-01
## 609                     Spain            L          Low 5.456588e-01
## 610               Netherlands            L          Low 4.931793e-01
## 611                Luxembourg            S          Low 2.417824e-01
## 612             United States            M          Low 9.961307e-01
## 613             United States            M          Low 9.723657e-01
## 614             United States            M         High 9.999765e-01
## 615             United States            M          Low 9.987416e-01
## 616             United States            M         High 9.407075e-01
## 617             United States            M         High 9.964950e-01
## 618             United States            M         High 2.386533e-01
## 619             United States            M         High 9.407075e-01
## 620             United States            M         High 8.116011e-01
## 621             United States            M         High 9.407075e-01
## 622            United Kingdom            M          Low 2.871634e-01
## 623            United Kingdom            M          Low 2.871634e-01
## 624             United States            M         High 5.154730e-01
## 625             United States            M          Low 9.938193e-01
## 626             United States            M          Low 8.225543e-01
## 627             United States            M          Low 7.436734e-01
## 628             United States            M         High 8.116011e-01
## 629             United States            M          Low 8.458832e-01
## 630             United States            M         High 8.116011e-01
## 631             United States            M          Low 8.458832e-01
## 632             United States            M         High 2.653722e-01
## 633             United States            M         High 9.861891e-01
## 634             United States            M          Low 9.944879e-01
## 635             United States            M          Low 5.476583e-01
## 636             United States            M         High 9.998339e-01
## 637             United States            M          Low 7.797575e-01
## 638             United States            M         High 1.315857e-01
## 639             United States            M         High 9.180998e-01
## 640                    Canada            M         High 9.407075e-01
## 641                    Canada            M          Low 9.275585e-01
## 642             United States            M          Low 9.155231e-01
## 643             United States            M          Low 7.005497e-01
## 644             United States            M          Low 9.987416e-01
## 645             United States            M          Low 8.764133e-01
## 646             United States            M         High 8.639376e-01
## 647             United States            M          Low 9.993481e-01
## 648             United States            M         High 6.038793e-01
## 649             United States            M         High 9.990818e-01
## 650             United States            M          Low 9.574692e-01
## 651             United States            M          Low 7.845206e-01
## 652             United States            M         High 9.997773e-01
## 653             United States            M          Low 9.723657e-01
## 654             United States            M          Low 9.732639e-01
## 655             United States            M          Low 6.952492e-01
## 656             United States            M         High 9.993093e-01
## 657             United States            M          Low 8.081027e-01
## 658             United States            M         High 9.697458e-01
## 659             United States            M          Low 9.869807e-01
## 660             United States            M         High 1.315857e-01
## 661             United States            M         High 3.885688e-01
## 662             United States            M         High 4.055692e-01
## 663             United States            M         High 9.906392e-01
## 664               Netherlands            M          Low 2.687116e-01
## 665             United States            M         High 8.913819e-01
## 666             United States            M         High 9.999765e-01
## 667             United States            M         High 7.024663e-01
## 668             United States            M         High 9.057823e-01
## 669             United States            M         High 8.574199e-01
## 670             United States            M          Low 9.892540e-01
## 671             United States            M         High 9.339236e-01
## 672             United States            M          Low 9.845994e-01
## 673             United States            M         High 5.154730e-01
## 674             United States            M          Low 9.938193e-01
## 675             United States            M          Low 9.917535e-01
## 676             United States            M          Low 8.368718e-01
## 677             United States            M         High 9.627185e-01
## 678             United States            M          Low 9.334081e-01
## 679             United States            M         High 2.723230e-01
## 680             United States            M          Low 9.753687e-01
## 681             United States            M         High 9.957694e-01
## 682             United States            M          Low 6.836860e-01
## 683             United States            M         High 6.490612e-01
## 684             United States            M          Low 9.426696e-01
## 685             United States            M         High 1.315857e-01
## 686             United States            M          Low 9.912530e-01
## 687             United States            M         High 8.226829e-01
## 688             United States            M          Low 9.170218e-01
## 689             United States            M         High 9.993302e-01
## 690             United States            M          Low 7.908082e-01
## 691             United States            M         High 1.092509e-01
## 692             United States            M         High 9.998968e-01
## 693             United States            M         High 9.726697e-01
## 694             United States            M          Low 9.982859e-01
## 695             United States            M         High 3.995849e-01
## 696             United States            M         High 9.885535e-01
## 697                    Canada            M         High 9.997139e-01
## 698                    Canada            M          Low 8.907047e-01
## 699             United States            M          Low 9.955196e-01
## 700             United States            M          Low 9.062206e-01
## 701             United States            M          Low 9.155231e-01
## 702             United States            M          Low 7.845206e-01
## 703             United States            M         High 7.480174e-01
## 704             United States            M         High 9.989095e-01
## 705             United States            M          Low 9.385592e-01
## 706             United States            M          Low 8.573037e-01
## 707             United States            M          Low 8.599296e-01
## 708             United States            M          Low 5.430237e-01
## 709             United States            M          Low 9.385592e-01
## 710             United States            M          Low 7.923686e-01
## 711             United States            M          Low 9.834994e-01
## 712             United States            M          Low 8.039204e-01
## 713             United States            L         High 9.591944e-01
## 714             United States            L          Low 7.402998e-01
## 715             United States            M         High 2.723230e-01
## 716             United States            M         High 9.918818e-01
## 717             United States            M          Low 9.946697e-01
## 718             United States            M          Low 7.765599e-01
## 719             United States            M         High 9.906392e-01
## 720             United States            M          Low 8.438247e-01
## 721             United States            M         High 7.771018e-01
## 722             United States            M          Low 9.810500e-01
## 723             United States            L         High 8.055738e-01
## 724             United States            L          Low 9.817575e-01
## 725             United States            M         High 8.606973e-01
## 726             United States            M         High 9.957694e-01
## 727             United States            M         High 6.454087e-01
## 728             United States            M         High 9.443374e-01
## 729                    Canada            M         High 9.989095e-01
## 730                    Canada            M          Low 9.723657e-01
## 731                    Canada            M         High 9.997139e-01
## 732                    Canada            M          Low 8.907047e-01
## 733             United States            M         High 3.326421e-01
## 734             United States            M          Low 9.888945e-01
## 735             United States            M         High 9.992852e-01
## 736             United States            M          Low 9.584743e-01
## 737             United States            M         High 7.024663e-01
## 738             United States            M         High 9.057823e-01
## 739             United States            M          Low 9.381390e-01
## 740             United States            M          Low 5.745807e-01
## 741             United States            M         High 9.985699e-01
## 742             United States            M          Low 7.005497e-01
## 743             United States            M         High 9.957694e-01
## 744             United States            M          Low 6.836860e-01
## 745             United States            M          Low 9.981610e-01
## 746             United States            M          Low 8.605171e-01
## 747             United States            M         High 9.999765e-01
## 748             United States            M          Low 9.385592e-01
## 749             United States            M         High 6.403766e-01
## 750             United States            M          Low 9.947591e-01
## 751                 Lithuania            M          Low 7.345041e-01
## 752                 Lithuania            M          Low 6.325138e-01
## 753             United States            M         High 9.778614e-01
## 754             United States            M          Low 9.406351e-01
## 755             United States            M         High 9.407075e-01
## 756             United States            M         High 9.989095e-01
## 757             United States            M         High 7.806945e-01
## 758             United States            M         High 9.624061e-01
## 759                    Canada            M         High 9.957694e-01
## 760                    Canada            M          Low 9.104205e-01
## 761             United States            L         High 9.591944e-01
## 762             United States            L          Low 7.402998e-01
## 763             United States            M         High 6.604326e-01
## 764             United States            M         High 9.130823e-01
## 765             United States            M         High 9.624061e-01
## 766             United States            M          Low 9.794758e-01
## 767             United States            L         High 9.960706e-01
## 768             United States            L          Low 6.172180e-01
## 769             United States            M         High 9.558226e-01
## 770             United States            M          Low 7.586699e-01
## 771             United States            M          Low 9.961307e-01
## 772             United States            M          Low 7.644164e-01
## 773             United States            M         High 5.012431e-01
## 774             United States            M         High 9.989095e-01
## 775             United States            M         High 9.930114e-01
## 776             United States            M          Low 9.180127e-01
## 777             United States            M         High 9.140989e-01
## 778             United States            M         High 9.982080e-01
## 779             United States            M          Low 9.320831e-01
## 780             United States            M          Low 7.335099e-01
## 781             United States            M         High 7.051030e-01
## 782             United States            M         High 9.957694e-01
## 783             United States            M         High 9.945041e-01
## 784             United States            M          Low 9.228683e-01
## 785             United States            M         High 9.989095e-01
## 786             United States            M          Low 9.385592e-01
## 787                    Canada            M          Low 9.723657e-01
## 788                    Canada            M          Low 9.155231e-01
## 789             United States            M          Low 9.385592e-01
## 790             United States            M          Low 8.039204e-01
## 791             United States            M          Low 5.634352e-01
## 792             United States            M          Low 5.171519e-01
## 793             United States            M         High 9.997773e-01
## 794             United States            M          Low 9.574692e-01
## 795             United States            M         High 7.051030e-01
## 796             United States            M         High 9.957694e-01
## 797             United States            M          Low 9.961307e-01
## 798             United States            M          Low 8.883857e-01
## 799                  Portugal            M          Low 9.155231e-01
## 800                  Portugal            M          Low 8.573037e-01
## 801             United States            M         High 1.806870e-01
## 802             United States            M         High 7.948372e-01
## 803             United States            M         High 9.945041e-01
## 804             United States            M          Low 9.228683e-01
## 805             United States            M         High 7.480174e-01
## 806             United States            M         High 9.998604e-01
## 807             United States            M          Low 9.885274e-01
## 808             United States            M          Low 7.561921e-01
## 809             United States            M         High 8.541058e-01
## 810             United States            M          Low 9.953574e-01
## 811             United States            M         High 7.041363e-03
## 812             United States            M         High 8.913819e-01
## 813             United States            M         High 9.844512e-01
## 814             United States            M         High 9.989095e-01
## 815             United States            M         High 5.682427e-01
## 816             United States            M          Low 8.883857e-01
## 817             United States            M         High 9.736875e-01
## 818             United States            M         High 9.989095e-01
## 819                    Canada            M          Low 9.995051e-01
## 820                    Canada            M          Low 9.869807e-01
## 821             United States            L         High 4.825501e-01
## 822             United States            L         High 9.999726e-01
## 823             United States            L         High 7.293893e-01
## 824             United States            L          Low 9.968132e-01
## 825             United States            M         High 9.407075e-01
## 826             United States            M         High 9.989095e-01
## 827             United States            M         High 4.934731e-01
## 828             United States            M         High 9.998534e-01
## 829             United States            M         High 9.916424e-01
## 830             United States            M          Low 7.757578e-01
## 831             United States            M          Low 8.883857e-01
## 832             United States            M          Low 7.005497e-01
## 833            United Kingdom            M         High 9.957694e-01
## 834            United Kingdom            M          Low 8.225543e-01
## 835             United States            M         High 9.989095e-01
## 836             United States            M          Low 8.513096e-01
## 837             United States            M         High 6.909709e-01
## 838             United States            M          Low 9.987753e-01
## 839             United States            L         High 4.980406e-01
## 840             United States            L          Low 9.874580e-01
## 841             United States            L         High 7.293893e-01
## 842             United States            L          Low 9.968132e-01
## 843             United States            L         High 3.885688e-01
## 844             United States            L          Low 9.968132e-01
## 845             United States            L         High 7.293893e-01
## 846             United States            L          Low 9.968132e-01
## 847             United States            M         High 9.997256e-01
## 848             United States            M          Low 9.815571e-01
## 849             United States            M         High 8.913819e-01
## 850             United States            M          Low 9.941120e-01
## 851             United States            M         High 1.006195e-01
## 852             United States            M         High 9.390513e-01
## 853             United States            M         High 9.998241e-01
## 854             United States            M          Low 9.968132e-01
## 855             United States            M         High 9.989095e-01
## 856             United States            M          Low 7.005497e-01
## 857             United States            M         High 7.925060e-01
## 858             United States            M          Low 9.941120e-01
## 859             United States            M          Low 9.426696e-01
## 860             United States            M          Low 9.104205e-01
## 861             United States            L         High 3.885688e-01
## 862             United States            L          Low 9.968132e-01
## 863             United States            M          Low 7.845206e-01
## 864             United States            M          Low 7.005497e-01
## 865             United States            M         High 9.730542e-01
## 866             United States            M          Low 9.668757e-01
## 867             United States            L         High 8.055738e-01
## 868             United States            L          Low 9.450567e-01
## 869             United States            M         High 9.995082e-01
## 870             United States            M          Low 9.940155e-01
## 871             United States            M          Low 7.845206e-01
## 872             United States            M          Low 7.005497e-01
## 873             United States            M          Low 8.500832e-01
## 874             United States            M          Low 4.893190e-01
## 875             United States            M         High 9.906392e-01
## 876             United States            M         High 9.999621e-01
## 877             United States            L         High 7.173215e-01
## 878             United States            L          Low 9.574692e-01
## 879             United States            M         High 9.957694e-01
## 880             United States            M          Low 6.836860e-01
## 881             United States            M          Low 9.987416e-01
## 882             United States            M          Low 9.385592e-01
## 883             United States            M          Low 9.923268e-01
## 884             United States            M          Low 6.801076e-01
## 885             United States            M         High 3.814941e-02
## 886             United States            M         High 9.996609e-01
## 887             United States            M         High 9.736875e-01
## 888             United States            M          Low 9.674525e-01
## 889             United States            M         High 1.528106e-02
## 890             United States            M         High 7.328077e-01
## 891             United States            M         High 9.957694e-01
## 892             United States            M          Low 6.827922e-01
## 893             United States            M         High 9.996496e-01
## 894             United States            M          Low 9.975195e-01
## 895             United States            M         High 9.999694e-01
## 896             United States            M          Low 6.125988e-01
## 897             United States            M         High 9.522892e-01
## 898             United States            M         High 9.736875e-01
## 899             United States            M          Low 9.714121e-01
## 900             United States            M          Low 6.591295e-01
## 901             United States            M          Low 9.155231e-01
## 902             United States            M          Low 6.282793e-01
## 903             United States            M          Low 8.997256e-01
## 904             United States            M          Low 8.557831e-01
## 905             United States            M         High 9.558226e-01
## 906             United States            M          Low 7.586699e-01
## 907             United States            M          Low 9.944879e-01
## 908             United States            M          Low 5.485856e-01
## 909             United States            M         High 9.919997e-01
## 910             United States            M         High 9.970725e-01
## 911             United States            M         High 1.092509e-01
## 912             United States            M         High 9.885535e-01
## 913             United States            M          Low 9.155231e-01
## 914             United States            M          Low 7.005497e-01
## 915               Netherlands            M          Low 3.502177e-01
## 916            United Kingdom            L          Low 2.750343e-01
## 917             United States            M         High 9.730797e-01
## 918             United States            M          Low 9.727786e-01
## 919             United States            M         High 8.116011e-01
## 920             United States            M          Low 8.465665e-01
## 921             United States            M         High 2.723230e-01
## 922             United States            M         High 9.918818e-01
## 923             United States            M          Low 9.696974e-01
## 924             United States            M          Low 6.684168e-01
## 925             United States            M          Low 9.606026e-01
## 926             United States            M          Low 6.518179e-01
## 927             United States            M         High 7.042248e-01
## 928             United States            M          Low 9.990231e-01
## 929             United States            M          Low 9.607635e-01
## 930             United States            M          Low 8.225543e-01
## 931             United States            M         High 8.116011e-01
## 932             United States            M          Low 8.458832e-01
## 933             United States            M         High 9.761277e-01
## 934             United States            M         High 9.996609e-01
## 935             United States            M         High 4.689823e-01
## 936             United States            M         High 9.947748e-01
## 937             United States            M         High 9.996609e-01
## 938             United States            M          Low 7.093291e-01
## 939             United States            M         High 6.604326e-01
## 940             United States            M         High 9.736875e-01
## 941             United States            M         High 9.996699e-01
## 942             United States            M          Low 9.702433e-01
## 943             United States            M         High 9.999765e-01
## 944             United States            M          Low 9.912530e-01
## 945             United States            M         High 4.989552e-01
## 946             United States            M         High 9.889925e-01
## 947             United States            M         High 9.998241e-01
## 948             United States            M          Low 9.834994e-01
## 949             United States            M         High 9.844512e-01
## 950             United States            M          Low 8.733231e-01
## 951             United States            M         High 7.480174e-01
## 952             United States            M         High 9.591944e-01
## 953             United States            M          Low 8.883857e-01
## 954             United States            M          Low 7.005497e-01
## 955             United States            M         High 1.190323e-01
## 956             United States            M         High 8.774407e-01
## 957                  Portugal            L          Low 2.425619e-01
## 958             United States            M         High 8.816839e-01
## 959             United States            M          Low 9.827389e-01
## 960             United States            M         High 9.014675e-01
## 961             United States            M          Low 9.393945e-01
## 962             United States            M         High 8.116011e-01
## 963             United States            M          Low 8.465665e-01
## 964             United States            M         High 9.997773e-01
## 965             United States            M          Low 9.385592e-01
## 966             United States            M          Low 8.188915e-01
## 967             United States            M          Low 6.098248e-01
## 968             United States            M         High 4.696470e-02
## 969             United States            M         High 8.567600e-01
## 970             United States            M         High 9.598495e-01
## 971             United States            M         High 9.982080e-01
## 972             United States            M          Low 7.845206e-01
## 973             United States            M          Low 5.801534e-01
## 974            United Kingdom            M          Low 2.604085e-01
## 975            United Kingdom            M          Low 2.711016e-01
## 976             United States            M          Low 9.607635e-01
## 977             United States            M          Low 6.783150e-01
## 978             United States            M         High 7.885974e-01
## 979             United States            M         High 9.920583e-01
## 980             United States            M         High 7.051030e-01
## 981             United States            M         High 9.736875e-01
## 982             United States            M         High 9.999323e-01
## 983             United States            M          Low 9.283943e-01
## 984             United States            M         High 7.024663e-01
## 985             United States            M         High 9.057823e-01
## 986             United States            M         High 9.989095e-01
## 987             United States            M          Low 9.968132e-01
## 988             United States            M         High 8.632925e-01
## 989             United States            M          Low 9.861596e-01
## 990             United States            M         High 8.263115e-01
## 991             United States            M          Low 9.574692e-01
## 992             United States            L          Low 7.962491e-01
## 993             United States            L          Low 3.875784e-01
## 994             United States            L         High 3.885688e-01
## 995             United States            L          Low 9.968132e-01
## 996             United States            M         High 4.457019e-02
## 997             United States            M         High 9.305932e-01
## 998             United States            M         High 2.386533e-01
## 999             United States            M         High 9.989095e-01
## 1000            United States            M          Low 9.238196e-01
## 1001            United States            M          Low 8.701946e-01
## 1002            United States            M         High 9.844512e-01
## 1003            United States            M         High 9.999765e-01
## 1004            United States            M         High 9.997773e-01
## 1005            United States            M          Low 9.723657e-01
## 1006            United States            M          Low 8.077103e-01
## 1007            United States            M          Low 5.634352e-01
## 1008            United States            M          Low 9.794758e-01
## 1009            United States            M          Low 8.478812e-01
## 1010            United States            M         High 2.653722e-01
## 1011            United States            M         High 9.861891e-01
## 1012            United States            M         High 9.561671e-01
## 1013            United States            M          Low 9.903533e-01
## 1014            United States            M         High 7.276322e-01
## 1015            United States            M         High 9.881034e-01
## 1016            United States            M          Low 9.732639e-01
## 1017            United States            M          Low 6.952492e-01
## 1018            United States            L         High 8.567600e-01
## 1019            United States            L          Low 9.189970e-01
## 1020            United States            M         High 3.595832e-01
## 1021            United States            M         High 9.433025e-01
## 1022                   Canada            M         High 9.321614e-01
## 1023                   Canada            M          Low 9.815571e-01
## 1024            United States            M         High 6.604326e-01
## 1025            United States            M          Low 9.815571e-01
## 1026                   Canada            M         High 9.999618e-01
## 1027                   Canada            M          Low 7.644164e-01
## 1028            United States            M         High 9.598495e-01
## 1029            United States            M         High 9.982080e-01
## 1030            United States            M         High 9.383885e-02
## 1031            United States            M         High 8.541058e-01
## 1032            United States            M         High 6.353591e-03
## 1033            United States            M         High 7.225127e-01
## 1034           United Kingdom            M         High 2.192444e-03
## 1035           United Kingdom            M          Low 5.608233e-02
## 1036            United States            M          Low 8.573037e-01
## 1037            United States            M          Low 7.436734e-01
## 1038            United States            M          Low 9.924405e-01
## 1039            United States            M          Low 9.385592e-01
## 1040                   Canada            M         High 9.999618e-01
## 1041                   Canada            M          Low 7.644164e-01
## 1042            United States            M          Low 9.944879e-01
## 1043            United States            M          Low 5.485856e-01
## 1044            United States            M         High 6.284415e-01
## 1045            United States            M         High 9.998604e-01
## 1046            United States            M         High 1.315857e-01
## 1047            United States            M          Low 9.912530e-01
## 1048            United States            M         High 2.329537e-01
## 1049            United States            M         High 9.513475e-01
## 1050            United States            M         High 1.111186e-01
## 1051            United States            M         High 9.999117e-01
## 1052            United States            M          Low 7.335099e-01
## 1053            United States            M          Low 4.192258e-01
## 1054            United States            M         High 9.957694e-01
## 1055            United States            M          Low 6.836860e-01
## 1056            United States            M         High 9.999765e-01
## 1057            United States            M          Low 7.436734e-01
## 1058            United States            M         High 9.999765e-01
## 1059            United States            M          Low 7.436734e-01
## 1060            United States            M         High 9.918818e-01
## 1061            United States            M          Low 9.723657e-01
## 1062            United States            M          Low 9.385592e-01
## 1063            United States            M          Low 8.225543e-01
## 1064            United States            L         High 8.746729e-01
## 1065            United States            L          Low 9.119685e-01
## 1066            United States            L         High 2.908917e-01
## 1067            United States            L          Low 9.987753e-01
## 1068            United States            M         High 9.998923e-01
## 1069            United States            M          Low 9.051544e-01
## 1070            United States            L         High 7.173215e-01
## 1071            United States            L          Low 9.574692e-01
## 1072                   Canada            M          Low 7.499593e-01
## 1073                   Canada            M          Low 4.575997e-01
## 1074            United States            M          Low 7.892432e-01
## 1075            United States            M          Low 5.356160e-01
## 1076            United States            M         High 9.390513e-01
## 1077            United States            M          Low 9.466151e-01
## 1078            United States            M          Low 9.714121e-01
## 1079            United States            M          Low 6.591295e-01
## 1080            United States            M         High 1.124404e-01
## 1081            United States            M         High 9.989095e-01
## 1082            United States            M          Low 8.817161e-01
## 1083            United States            M          Low 5.463696e-01
## 1084            United States            M          Low 9.979266e-01
## 1085            United States            M          Low 7.884590e-01
## 1086            United States            M         High 1.037921e-01
## 1087            United States            M         High 7.742922e-01
## 1088            United States            M         High 9.999126e-01
## 1089            United States            M          Low 9.242927e-01
## 1090            United States            M         High 4.762059e-01
## 1091            United States            M          Low 9.834994e-01
## 1092            United States            M         High 2.386533e-01
## 1093            United States            M         High 9.736875e-01
## 1094            United States            M         High 9.989095e-01
## 1095            United States            M          Low 9.912530e-01
## 1096            United States            M         High 9.736875e-01
## 1097            United States            M         High 9.981643e-01
## 1098            United States            L         High 9.591944e-01
## 1099            United States            L          Low 7.402998e-01
## 1100            United States            M         High 9.967344e-01
## 1101            United States            M          Low 9.932182e-01
## 1102            United States            M          Low 6.987855e-01
## 1103            United States            M          Low 5.968585e-01
## 1104            United States            M          Low 9.981610e-01
## 1105            United States            M          Low 8.605171e-01
## 1106           United Kingdom            M          Low 1.732619e-01
## 1107           United Kingdom            M          Low 2.694249e-01
## 1108            United States            M         High 2.386533e-01
## 1109            United States            M         High 9.989095e-01
## 1110            United States            M         High 9.918818e-01
## 1111            United States            M          Low 9.987416e-01
## 1112            United States            M          Low 9.976780e-01
## 1113            United States            M          Low 7.561921e-01
## 1114            United States            M         High 4.422529e-01
## 1115            United States            M         High 9.992806e-01
## 1116            United States            M         High 3.894116e-01
## 1117            United States            M          Low 9.984485e-01
## 1118           United Kingdom            M          Low 7.028358e-02
## 1119           United Kingdom            M          Low 2.268724e-01
## 1120            United States            M         High 1.640711e-01
## 1121            United States            M         High 9.591944e-01
## 1122            United States            M         High 9.736875e-01
## 1123            United States            M          Low 8.225543e-01
## 1124            United States            M         High 9.964950e-01
## 1125            United States            M          Low 9.591364e-01
## 1126            United States            M          Low 9.385592e-01
## 1127            United States            M          Low 6.557318e-01
## 1128            United States            M          Low 9.993040e-01
## 1129            United States            M          Low 8.997256e-01
## 1130            United States            M          Low 9.992095e-01
## 1131            United States            M          Low 9.758484e-01
## 1132            United States            M         High 5.682427e-01
## 1133            United States            M         High 9.918818e-01
## 1134            United States            L         High 7.293893e-01
## 1135            United States            L          Low 9.968132e-01
## 1136            United States            M          Low 5.171519e-01
## 1137            United States            M          Low 4.625284e-01
## 1138            United States            M          Low 9.961307e-01
## 1139            United States            M          Low 9.385592e-01
## 1140            United States            M         High 8.913819e-01
## 1141            United States            M         High 9.736875e-01
## 1142           United Kingdom            M         High 5.509903e-07
## 1143           United Kingdom            M         High 7.335471e-04
## 1144            United States            M         High 9.940326e-01
## 1145            United States            M          Low 9.912530e-01
## 1146            United States            M          Low 9.155231e-01
## 1147            United States            M          Low 6.557318e-01
## 1148            United States            M          Low 9.155231e-01
## 1149            United States            M          Low 8.883857e-01
## 1150                   Canada            M         High 5.404080e-01
## 1151                   Canada            M         High 9.999621e-01
## 1152            United States            M         High 9.945041e-01
## 1153            United States            M          Low 9.228683e-01
## 1154                Gibraltar            L          Low 2.268724e-01
## 1155            United States            M          Low 9.594650e-01
## 1156            United States            M          Low 7.411445e-01
## 1157            United States            M         High 2.278306e-01
## 1158            United States            M          Low 9.990792e-01
## 1159            United States            M         High 9.876420e-01
## 1160            United States            M          Low 7.993321e-01
## 1161            United States            M         High 3.995849e-01
## 1162            United States            M          Low 9.951913e-01
## 1163            United States            M          Low 9.723657e-01
## 1164            United States            M          Low 7.845206e-01
## 1165            United States            M         High 7.024663e-01
## 1166            United States            M         High 9.057823e-01
## 1167            United States            M         High 9.995910e-01
## 1168            United States            M          Low 9.834994e-01
## 1169            United States            M         High 8.404883e-01
## 1170            United States            M          Low 9.953574e-01
## 1171            United States            M          Low 9.987416e-01
## 1172            United States            M          Low 6.098248e-01
## 1173            United States            M         High 3.995849e-01
## 1174            United States            M         High 9.989095e-01
## 1175            United States            M         High 3.995849e-01
## 1176            United States            M         High 9.478339e-01
## 1177           United Kingdom            M          Low 2.925333e-01
## 1178           United Kingdom            M          Low 2.925333e-01
## 1179            United States            M          Low 9.385592e-01
## 1180            United States            M          Low 6.863636e-01
## 1181            United States            M         High 9.642143e-01
## 1182            United States            M         High 9.642143e-01
## 1183            United States            M          Low 9.912530e-01
## 1184            United States            M          Low 8.714506e-01
## 1185            United States            M         High 1.359092e-01
## 1186            United States            M         High 9.522892e-01
## 1187            United States            M         High 8.639376e-01
## 1188            United States            M          Low 6.190641e-01
## 1189            United States            M         High 9.407075e-01
## 1190            United States            M          Low 9.987416e-01
## 1191            United States            M         High 9.916424e-01
## 1192            United States            M          Low 7.757578e-01
## 1193            United States            M          Low 9.912530e-01
## 1194            United States            M          Low 8.973416e-01
## 1195            United States            M         High 9.805707e-01
## 1196            United States            M          Low 9.668757e-01
## 1197            United States            M         High 6.192268e-01
## 1198            United States            M          Low 9.869807e-01
## 1199                Australia            L          Low 1.493164e-09
## 1200            United States            M         High 1.933295e-01
## 1201            United States            M         High 9.940326e-01
## 1202            United States            M         High 9.998241e-01
## 1203            United States            M          Low 9.987416e-01
## 1204            United States            M         High 6.604326e-01
## 1205            United States            M         High 9.736875e-01
## 1206            United States            M         High 9.999365e-01
## 1207            United States            M          Low 9.968132e-01
## 1208            United States            M          Low 8.500832e-01
## 1209            United States            M          Low 4.893190e-01
## 1210            United States            M         High 4.404131e-01
## 1211            United States            M         High 8.913819e-01
## 1212            United States            M         High 7.925060e-01
## 1213            United States            M          Low 9.957558e-01
## 1214            United States            M          Low 9.968132e-01
## 1215            United States            M          Low 9.104205e-01
## 1216            United States            M          Low 9.385592e-01
## 1217            United States            M          Low 8.225543e-01
## 1218            United States            M         High 9.997773e-01
## 1219            United States            M          Low 9.574692e-01
## 1220            United States            M          Low 9.995051e-01
## 1221            United States            M          Low 9.638984e-01
## 1222            United States            M         High 7.806945e-01
## 1223            United States            M         High 9.624061e-01
## 1224            United States            M         High 5.587770e-02
## 1225            United States            M         High 9.991890e-01
## 1226            United States            M          Low 9.912530e-01
## 1227            United States            M          Low 9.385592e-01
## 1228           United Kingdom            M          Low 2.502084e-01
## 1229           United Kingdom            M          Low 2.912477e-01
## 1230            United States            M         High 7.041363e-03
## 1231            United States            M         High 8.913819e-01
## 1232            United States            M         High 2.702265e-01
## 1233            United States            M         High 9.639523e-01
## 1234            United States            M         High 6.604326e-01
## 1235            United States            M         High 9.130823e-01
## 1236            United States            M         High 4.492811e-01
## 1237            United States            M         High 9.892221e-01
## 1238            United States            M         High 6.238375e-01
## 1239            United States            M         High 9.784212e-01
## 1240            United States            M         High 9.971324e-01
## 1241            United States            M          Low 9.912530e-01
## 1242            United States            M          Low 9.353159e-01
## 1243            United States            M          Low 6.399769e-01
## 1244                   France            M          Low 4.931793e-01
## 1245                   France            M          Low 4.541726e-01
## 1246            United States            M          Low 7.503765e-01
## 1247            United States            M          Low 5.061221e-01
## 1248            United States            M         High 3.978818e-01
## 1249            United States            M         High 9.824240e-01
## 1250           United Kingdom            M          Low 2.604085e-01
## 1251           United Kingdom            M          Low 2.711016e-01
## 1252            United States            M          Low 9.723657e-01
## 1253            United States            M          Low 9.385592e-01
## 1254            United States            M         High 9.718308e-02
## 1255            United States            M          Low 9.993040e-01
## 1256            United States            M         High 8.816839e-01
## 1257            United States            M          Low 9.827389e-01
## 1258            United States            M          Low 6.098248e-01
## 1259            United States            M          Low 5.634352e-01
## 1260            United States            M          Low 9.936190e-01
## 1261            United States            M          Low 6.411309e-01
## 1262            United States            M         High 9.997773e-01
## 1263            United States            M          Low 9.385592e-01
## 1264            United States            M         High 9.989095e-01
## 1265            United States            M          Low 9.987416e-01
## 1266            United States            M          Low 8.039204e-01
## 1267            United States            M          Low 5.866529e-01
## 1268            United States            M          Low 9.993040e-01
## 1269            United States            M          Low 9.885274e-01
## 1270            United States            M         High 9.989095e-01
## 1271            United States            M          Low 9.912530e-01
## 1272            United States            M         High 9.998241e-01
## 1273            United States            M          Low 9.985634e-01
## 1274            United States            L         High 8.746729e-01
## 1275            United States            L          Low 9.119685e-01
## 1276            United States            M         High 7.396033e-01
## 1277            United States            M          Low 9.899501e-01
## 1278            United States            M         High 3.970313e-01
## 1279            United States            M          Low 9.982648e-01
## 1280            United States            M          Low 9.723657e-01
## 1281            United States            M          Low 8.883857e-01
## 1282            United States            M         High 9.998241e-01
## 1283            United States            M          Low 9.912530e-01
## 1284            United States            M         High 5.007853e-01
## 1285            United States            M          Low 9.986366e-01
## 1286            United States            M         High 7.885974e-01
## 1287            United States            M         High 9.661979e-01
## 1288            United States            M         High 4.934731e-01
## 1289            United States            M         High 9.998534e-01
## 1290            United States            M         High 8.473685e-01
## 1291            United States            M          Low 9.990515e-01
## 1292            United States            M          Low 8.225543e-01
## 1293            United States            M          Low 5.171519e-01
## 1294            United States            M         High 5.007853e-01
## 1295            United States            M          Low 9.986366e-01
## 1296            United States            M          Low 3.513513e-01
## 1297            United States            M         High 1.315857e-01
## 1298            United States            M          Low 8.883857e-01
## 1299            United States            M         High 1.315857e-01
## 1300            United States            M          Low 8.883857e-01
## 1301            United States            M          Low 9.629746e-01
## 1302            United States            M          Low 8.465665e-01
## 1303            United States            M          Low 7.436734e-01
## 1304            United States            M          Low 4.715285e-01
## 1305            United States            M         High 9.761277e-01
## 1306            United States            M         High 9.816126e-01
## 1307            United States            M         High 9.180998e-01
## 1308            United States            M         High 9.996258e-01
## 1309            United States            M         High 9.736875e-01
## 1310            United States            M         High 9.981643e-01
## 1311            United States            M         High 8.970492e-01
## 1312            United States            M         High 9.091592e-01
## 1313                 Colombia            M          Low 8.225543e-01
## 1314                 Colombia            M          Low 6.557318e-01
## 1315            United States            M         High 5.587770e-02
## 1316            United States            M         High 9.991890e-01
## 1317            United States            M         High 7.311002e-01
## 1318            United States            M         High 9.991890e-01
## 1319            United States            M         High 9.844512e-01
## 1320            United States            M         High 9.999765e-01
## 1321                  Ukraine            M          Low 4.715285e-01
## 1322            United States            L          Low 5.807903e-01
## 1323            United States            M          Low 9.385592e-01
## 1324            United States            M          Low 7.005497e-01
## 1325                 Slovenia            M          Low 4.146125e-01
## 1326                 Slovenia            M          Low 3.595247e-01
## 1327            United States            M         High 7.480174e-01
## 1328            United States            M          Low 7.436734e-01
## 1329            United States            M         High 9.945041e-01
## 1330            United States            M          Low 9.228683e-01
## 1331            United States            M         High 9.999765e-01
## 1332            United States            M          Low 9.912530e-01
## 1333            United States            M         High 9.999765e-01
## 1334            United States            M          Low 9.912530e-01
## 1335            United States            M          Low 9.861596e-01
## 1336            United States            M          Low 7.266652e-01
## 1337            United States            M         High 9.561671e-01
## 1338            United States            M          Low 9.903533e-01
## 1339            United States            M         High 4.762059e-01
## 1340            United States            M         High 7.311002e-01
## 1341            United States            M         High 9.997773e-01
## 1342            United States            M          Low 9.723657e-01
## 1343            United States            M         High 9.999765e-01
## 1344            United States            M          Low 9.723657e-01
## 1345            United States            M         High 8.639376e-01
## 1346            United States            M          Low 9.993481e-01
## 1347            United States            M         High 1.448698e-01
## 1348            United States            M          Low 9.979266e-01
## 1349            United States            M         High 9.999392e-01
## 1350            United States            M          Low 9.219104e-01
## 1351            United States            M         High 5.007853e-01
## 1352            United States            M          Low 9.986366e-01
## 1353           United Kingdom            M          Low 1.278323e-01
## 1354           United Kingdom            M          Low 2.268496e-01
## 1355            United States            M          Low 9.927199e-01
## 1356            United States            M          Low 9.886752e-01
## 1357            United States            M          Low 9.607635e-01
## 1358            United States            M          Low 8.225543e-01
## 1359            United States            M         High 9.853367e-01
## 1360            United States            M          Low 9.503962e-01
## 1361            United States            L          Low 5.309919e-01
## 1362                  Romania            M          Low 3.595247e-01
## 1363            United States            M         High 6.874121e-01
## 1364            United States            M         High 9.591944e-01
## 1365            United States            M         High 6.604326e-01
## 1366            United States            M         High 9.989095e-01
## 1367            United States            M         High 9.591944e-01
## 1368            United States            M         High 9.999765e-01
## 1369            United States            M          Low 9.980668e-01
## 1370            United States            M          Low 9.414539e-01
## 1371            United States            L         High 9.591944e-01
## 1372            United States            L          Low 7.402998e-01
## 1373            United States            M         High 8.369956e-01
## 1374            United States            M         High 9.964950e-01
## 1375            United States            M          Low 8.883857e-01
## 1376            United States            M          Low 7.005497e-01
## 1377            United States            M         High 9.591944e-01
## 1378            United States            M         High 9.999765e-01
## 1379                    Spain            M          Low 4.304619e-01
## 1380                    Spain            M          Low 3.595247e-01
## 1381            United States            M          Low 9.976780e-01
## 1382            United States            M          Low 7.561921e-01
## 1383            United States            M          Low 9.912530e-01
## 1384            United States            M          Low 7.436734e-01
## 1385            United States            M         High 6.604326e-01
## 1386            United States            M         High 9.130823e-01
## 1387            United States            L         High 8.746729e-01
## 1388            United States            L          Low 9.119685e-01
## 1389            United States            M         High 7.806945e-01
## 1390            United States            M         High 9.624061e-01
## 1391            United States            M         High 8.102895e-01
## 1392            United States            M         High 9.997256e-01
## 1393            United States            M         High 9.624061e-01
## 1394            United States            M          Low 9.794758e-01
## 1395            United States            M          Low 9.432760e-01
## 1396            United States            M          Low 6.254346e-01
## 1397            United States            M         High 9.407075e-01
## 1398            United States            M          Low 9.982435e-01
## 1399            United States            M          Low 8.575673e-01
## 1400            United States            M          Low 5.578643e-01
## 1401            United States            M         High 9.036271e-01
## 1402            United States            M         High 9.996695e-01
## 1403            United States            M         High 1.006195e-01
## 1404            United States            M         High 9.996609e-01
## 1405            United States            M         High 9.892790e-01
## 1406            United States            M          Low 9.987416e-01
## 1407           United Kingdom            M          Low 1.843389e-01
## 1408           United Kingdom            M          Low 2.544428e-01
## 1409            United States            M         High 9.591944e-01
## 1410            United States            M         High 9.999765e-01
## 1411            United States            M         High 9.998923e-01
## 1412            United States            M          Low 9.051544e-01
## 1413            United States            M         High 9.736875e-01
## 1414            United States            M          Low 9.781589e-01
## 1415            United States            M          Low 7.436734e-01
## 1416            United States            M          Low 6.557318e-01
## 1417            United States            M          Low 9.723657e-01
## 1418            United States            M          Low 8.225543e-01
## 1419            United States            M         High 6.829499e-01
## 1420            United States            M         High 9.999358e-01
## 1421            United States            M         High 9.999765e-01
## 1422            United States            M          Low 4.715285e-01
## 1423           United Kingdom            M          Low 2.502084e-01
## 1424           United Kingdom            M          Low 2.912477e-01
## 1425            United States            M         High 7.480174e-01
## 1426            United States            M         High 9.736875e-01
## 1427            United States            M         High 4.118738e-02
## 1428            United States            M         High 3.260623e-01
## 1429            United States            M         High 9.407075e-01
## 1430            United States            M          Low 9.912530e-01
## 1431            United States            M         High 9.989095e-01
## 1432            United States            M          Low 9.912530e-01
## 1433            United States            M         High 9.999765e-01
## 1434            United States            M          Low 4.715285e-01
## 1435            United States            M         High 9.889925e-01
## 1436            United States            M          Low 9.926645e-01
## 1437            United States            M         High 4.762059e-01
## 1438            United States            M          Low 8.883857e-01
## 1439            United States            M         High 9.784212e-01
## 1440            United States            M         High 9.964950e-01
## 1441            United States            L         High 8.746729e-01
## 1442            United States            L          Low 9.119685e-01
## 1443            United States            M         High 9.998241e-01
## 1444            United States            M          Low 9.723657e-01
## 1445            United States            M         High 2.386533e-01
## 1446            United States            M         High 8.913819e-01
## 1447            United States            M         High 9.624061e-01
## 1448            United States            M          Low 9.794758e-01
## 1449            United States            L         High 8.746729e-01
## 1450            United States            L          Low 9.119685e-01
## 1451           United Kingdom            M          Low 2.502084e-01
## 1452           United Kingdom            M          Low 2.694249e-01
## 1453            United States            M         High 1.796154e-01
## 1454            United States            M         High 9.874857e-01
## 1455            United States            M         High 6.146101e-01
## 1456            United States            M         High 8.671405e-01
## 1457            United States            M         High 1.315857e-01
## 1458            United States            M         High 7.311002e-01
## 1459            United States            M         High 9.989095e-01
## 1460            United States            M          Low 9.968132e-01
## 1461            United States            M         High 8.541058e-01
## 1462            United States            M          Low 9.953574e-01
## 1463                   Canada            M         High 9.998241e-01
## 1464                   Canada            M          Low 9.155231e-01
## 1465            United States            M         High 1.933295e-01
## 1466            United States            M         High 8.078434e-01
## 1467            United States            M         High 9.405966e-01
## 1468            United States            M         High 9.999617e-01
## 1469                   Greece            L          Low 2.293645e-01
## 1470            United States            M          Low 9.912530e-01
## 1471            United States            M          Low 8.883857e-01
## 1472            United States            M         High 4.762059e-01
## 1473            United States            M          Low 9.834994e-01
## 1474                 Colombia            M          Low 9.924405e-01
## 1475                 Colombia            M          Low 8.077103e-01
## 1476            United States            M          Low 7.436734e-01
## 1477            United States            M          Low 4.715285e-01
## 1478            United States            M         High 9.025560e-01
## 1479            United States            M          Low 9.935172e-01
## 1480            United States            M          Low 9.834994e-01
## 1481            United States            M          Low 9.574692e-01
## 1482            United States            M         High 9.624061e-01
## 1483            United States            M          Low 9.794758e-01
## 1484            United States            M         High 9.997773e-01
## 1485            United States            M          Low 9.912530e-01
## 1486            United States            M         High 9.910241e-01
## 1487            United States            M          Low 9.536594e-01
## 1488            United States            M         High 9.624061e-01
## 1489            United States            M          Low 9.794758e-01
## 1490            United States            M         High 2.386533e-01
## 1491            United States            M         High 8.913819e-01
## 1492            United States            L         High 9.591944e-01
## 1493            United States            L          Low 7.520429e-01
## 1494            United States            M         High 7.480174e-01
## 1495            United States            M          Low 7.436734e-01
## 1496            United States            M         High 9.591944e-01
## 1497            United States            M          Low 9.794758e-01
## 1498            United States            M          Low 7.436734e-01
## 1499            United States            M          Low 7.005497e-01
## 1500            United States            M         High 9.999765e-01
## 1501            United States            M          Low 9.912530e-01
## 1502            United States            M          Low 4.987938e-01
## 1503            United States            M          Low 4.535789e-01
## 1504           United Kingdom            M         High 5.928289e-17
## 1505           United Kingdom            M          Low 2.502084e-01
## 1506            United States            M         High 9.999765e-01
## 1507            United States            M          Low 9.834994e-01
## 1508            United States            M         High 9.999765e-01
## 1509            United States            M          Low 9.912530e-01
## 1510           United Kingdom            M          Low 2.604085e-01
## 1511           United Kingdom            M          Low 2.711016e-01
## 1512            United States            M         High 9.407075e-01
## 1513            United States            M         High 9.918818e-01
## 1514            United States            M          Low 9.834994e-01
## 1515            United States            M          Low 9.574692e-01
## 1516            United States            M          Low 9.912530e-01
## 1517            United States            M          Low 8.973416e-01
## 1518            United States            M         High 9.999765e-01
## 1519            United States            M          Low 9.574692e-01
## 1520            United States            M         High 9.624061e-01
## 1521            United States            M          Low 9.794758e-01
## 1522            United States            M         High 9.229524e-01
## 1523            United States            M         High 9.844512e-01
## 1524            United States            M         High 9.591944e-01
## 1525            United States            M         High 9.989095e-01
## 1526            United States            M         High 9.591944e-01
## 1527            United States            M          Low 4.715285e-01
## 1528            United States            M          Low 7.436734e-01
## 1529            United States            M          Low 6.557318e-01
## 1530            United States            M         High 4.404131e-01
## 1531            United States            M         High 8.913819e-01
## 1532            United States            M          Low 9.923451e-01
## 1533            United States            M          Low 9.723657e-01
## 1534            United States            M         High 9.989095e-01
## 1535            United States            M          Low 9.912530e-01
## 1536            United States            M         High 7.628176e-01
## 1537            United States            M         High 9.772054e-01
## 1538            United States            L         High 7.293893e-01
## 1539            United States            L          Low 9.968132e-01
## 1540            United States            M         High 7.562869e-02
## 1541            United States            M         High 8.795718e-01
## 1542            United States            L         High 7.293893e-01
## 1543            United States            L          Low 9.968132e-01
## 1544            United States            M         High 9.417293e-01
## 1545            United States            M          Low 9.702786e-01
## 1546            United States            M         High 9.981643e-01
## 1547            United States            M          Low 9.912530e-01
## 1548            United States            M         High 9.916424e-01
## 1549            United States            M          Low 7.757578e-01
## 1550            United States            L         High 8.746729e-01
## 1551            United States            L          Low 9.119685e-01
## 1552            United States            M         High 4.676853e-01
## 1553            United States            M         High 8.586172e-01
## 1554            United States            M         High 9.998241e-01
## 1555            United States            M          Low 9.834994e-01
## 1556            United States            M          Low 9.961307e-01
## 1557            United States            M          Low 9.540139e-01
## 1558            United States            M         High 7.628176e-01
## 1559            United States            M         High 9.772054e-01
## 1560            United States            M         High 5.682427e-01
## 1561            United States            M         High 9.975825e-01
## 1562            United States            M         High 3.987330e-01
## 1563            United States            M         High 8.959286e-01
## 1564            United States            M         High 7.836713e-01
## 1565            United States            M         High 9.990908e-01
## 1566            United States            M         High 9.998241e-01
## 1567            United States            M          Low 9.834994e-01
## 1568            United States            M         High 9.918818e-01
## 1569            United States            M          Low 8.883857e-01
## 1570            United States            M         High 6.238375e-01
## 1571            United States            M         High 8.404883e-01
## 1572            United States            M         High 8.734328e-01
## 1573            United States            M          Low 9.944879e-01
## 1574            United States            L         High 2.908917e-01
## 1575            United States            L          Low 9.987753e-01
## 1576            United States            M         High 2.259541e-01
## 1577            United States            M         High 8.404883e-01
## 1578            United States            M          Low 8.500899e-01
## 1579            United States            M          Low 4.893190e-01
## 1580            United States            M         High 8.190213e-01
## 1581            United States            M         High 9.591944e-01
## 1582            United States            M          Low 9.691454e-01
## 1583            United States            M          Low 7.005497e-01
## 1584            United States            M         High 9.990976e-01
## 1585            United States            M          Low 9.913768e-01
## 1586            United States            M         High 3.718810e-01
## 1587            United States            M         High 5.219219e-01
## 1588            United States            M         High 9.407075e-01
## 1589            United States            M         High 9.999765e-01
## 1590            United States            M         High 8.592729e-01
## 1591            United States            M          Low 9.972645e-01
## 1592            United States            L         High 9.591944e-01
## 1593            United States            L          Low 8.546542e-01
## 1594            United States            M         High 9.989095e-01
## 1595            United States            M          Low 9.252341e-01
## 1596            United States            M         High 3.522982e-01
## 1597            United States            M         High 9.819915e-01
## 1598            United States            M         High 9.989095e-01
## 1599            United States            M          Low 9.252341e-01
## 1600            United States            M         High 2.723230e-01
## 1601            United States            M         High 9.844512e-01
## 1602            United States            L          Low 7.093291e-01
## 1603                 Portugal            M          Low 4.698727e-01
## 1604                 Portugal            M          Low 3.908828e-01
## 1605            United States            M          Low 7.503765e-01
## 1606            United States            M          Low 5.061221e-01
## 1607            United States            M         High 9.999765e-01
## 1608            United States            M          Low 9.834994e-01
## 1609            United States            M         High 8.263115e-01
## 1610            United States            M         High 9.736875e-01
## 1611            United States            M         High 8.263115e-01
## 1612            United States            M         High 9.998241e-01
## 1613            United States            M         High 9.924604e-01
## 1614            United States            M          Low 9.979266e-01
## 1615            United States            M         High 6.900821e-01
## 1616            United States            M          Low 9.947591e-01
## 1617            United States            M         High 2.471449e-01
## 1618            United States            M         High 9.991111e-01
## 1619            United States            M         High 9.736875e-01
## 1620            United States            M          Low 9.723657e-01
## 1621            United States            M          Low 9.834994e-01
## 1622            United States            M          Low 9.574692e-01
## 1623            United States            M         High 1.434988e-01
## 1624            United States            M         High 9.014675e-01
## 1625            United States            M         High 8.639376e-01
## 1626            United States            M          Low 9.983276e-01
## 1627            United States            M          Low 9.402232e-01
## 1628            United States            M          Low 6.374655e-01
## 1629            United States            M         High 3.835286e-01
## 1630            United States            M         High 9.912749e-01
## 1631            United States            M          Low 5.982492e-01
## 1632            United States            M          Low 4.393738e-01
## 1633            United States            M         High 7.896007e-01
## 1634            United States            M         High 9.528439e-01
## 1635            United States            M          Low 8.573037e-01
## 1636            United States            M          Low 6.611795e-01
## 1637            United States            M         High 9.999741e-01
## 1638            United States            M          Low 9.871011e-01
## 1639            United States            M         High 9.981643e-01
## 1640            United States            M          Low 9.426696e-01
## 1641            United States            M         High 2.386533e-01
## 1642            United States            M         High 9.661979e-01
## 1643            United States            L         High 8.055738e-01
## 1644            United States            L          Low 9.817575e-01
## 1645            United States            M         High 9.130823e-01
## 1646            United States            M          Low 9.994304e-01
## 1647            United States            L         High 9.591944e-01
## 1648            United States            L          Low 7.402998e-01
## 1649            United States            M         High 9.276397e-01
## 1650            United States            M          Low 9.385592e-01
## 1651            United States            M         High 5.219219e-01
## 1652            United States            M         High 9.591944e-01
## 1653            United States            M         High 9.998923e-01
## 1654            United States            M          Low 9.051544e-01
## 1655            United States            M          Low 7.436734e-01
## 1656            United States            M          Low 6.557318e-01
## 1657            United States            M         High 4.762059e-01
## 1658            United States            M         High 7.051030e-01
## 1659            United States            M          Low 8.225543e-01
## 1660            United States            M          Low 7.436734e-01
## 1661           United Kingdom            M          Low 2.833853e-01
## 1662           United Kingdom            M          Low 2.925333e-01
## 1663            United States            M         High 8.606973e-01
## 1664            United States            M         High 9.945041e-01
## 1665            United States            M         High 8.759069e-01
## 1666            United States            M         High 9.932241e-01
## 1667            United States            M         High 9.971324e-01
## 1668            United States            M          Low 9.912530e-01
## 1669                  Ukraine            M         High 5.682427e-01
## 1670                  Ukraine            M         High 7.480174e-01
## 1671            United States            M         High 9.940326e-01
## 1672            United States            M          Low 9.912530e-01
## 1673            United States            M         High 9.561671e-01
## 1674            United States            M          Low 9.903533e-01
## 1675            United States            M         High 1.434988e-01
## 1676            United States            M         High 9.014675e-01
## 1677            United States            M         High 9.407075e-01
## 1678            United States            M         High 9.997256e-01
## 1679            United States            M         High 8.606973e-01
## 1680            United States            M         High 9.999621e-01
## 1681            United States            M         High 9.105119e-01
## 1682            United States            M          Low 8.720763e-01
## 1683            United States            M         High 3.885688e-01
## 1684            United States            M         High 9.321614e-01
## 1685            United States            M         High 7.806945e-01
## 1686            United States            M         High 9.624061e-01
## 1687            United States            M         High 9.321614e-01
## 1688            United States            M         High 9.971324e-01
## 1689            United States            M         High 6.811609e-01
## 1690            United States            M         High 9.998372e-01
## 1691            United States            M         High 9.989095e-01
## 1692            United States            M          Low 9.987416e-01
## 1693            United States            M         High 9.940326e-01
## 1694            United States            M          Low 9.912530e-01
## 1695            United States            L         High 2.077401e-01
## 1696            United States            L         High 9.407075e-01
## 1697            United States            L         High 1.001202e-03
## 1698            United States            L         High 3.086540e-01
## 1699            United States            M         High 7.940613e-01
## 1700            United States            M          Low 9.320831e-01
## 1701            United States            M         High 9.997773e-01
## 1702            United States            M          Low 9.574692e-01
## 1703            United States            M          Low 9.912530e-01
## 1704            United States            M          Low 9.503962e-01
## 1705            United States            M         High 9.205467e-01
## 1706            United States            M          Low 9.396023e-01
## 1707            United States            M         High 1.542549e-01
## 1708            United States            M         High 9.799408e-01
## 1709           United Kingdom            M          Low 2.912477e-01
## 1710           United Kingdom            M          Low 2.887683e-01
## 1711            United States            M          Low 9.968132e-01
## 1712            United States            M          Low 9.104205e-01
## 1713            United States            L         High 7.293893e-01
## 1714            United States            L          Low 9.968132e-01
## 1715            United States            M         High 9.321614e-01
## 1716            United States            M         High 9.971324e-01
## 1717            United States            M         High 7.480174e-01
## 1718            United States            M         High 9.522892e-01
## 1719            United States            M         High 1.601345e-02
## 1720            United States            M         High 4.825501e-01
## 1721            United States            M          Low 7.845206e-01
## 1722            United States            M          Low 7.352126e-01
## 1723            United States            M         High 7.925060e-01
## 1724            United States            M          Low 9.941120e-01
## 1725            United States            M          Low 9.924405e-01
## 1726            United States            M          Low 9.912530e-01
## 1727            United States            M         High 9.999126e-01
## 1728            United States            M          Low 9.242927e-01
## 1729            United States            M         High 7.480174e-01
## 1730            United States            M         High 9.976871e-01
## 1731            United States            M         High 9.940326e-01
## 1732            United States            M          Low 9.912530e-01
## 1733            United States            M          Low 9.270969e-01
## 1734            United States            M          Low 8.969507e-01
## 1735            United States            M          Low 7.436734e-01
## 1736            United States            M          Low 6.557318e-01
## 1737                   France            M          Low 6.426957e-01
## 1738            United States            M         High 1.315857e-01
## 1739            United States            M          Low 8.883857e-01
## 1740            United States            M         High 9.844512e-01
## 1741            United States            M          Low 9.961307e-01
## 1742            United States            M         High 9.971324e-01
## 1743            United States            M          Low 9.912530e-01
## 1744            United States            M         High 1.315857e-01
## 1745            United States            M         High 8.190213e-01
## 1746            United States            M         High 2.653722e-01
## 1747            United States            M         High 9.624061e-01
## 1748            United States            M          Low 9.574692e-01
## 1749            United States            M          Low 9.385592e-01
## 1750            United States            M          Low 9.986758e-01
## 1751            United States            M          Low 8.594390e-01
## 1752            United States            M         High 9.949503e-01
## 1753            United States            M         High 9.999765e-01
## 1754            United States            M         High 9.996609e-01
## 1755            United States            M          Low 8.638240e-01
## 1756            United States            M          Low 9.987416e-01
## 1757            United States            M          Low 9.834994e-01
## 1758            United States            M         High 9.997773e-01
## 1759            United States            M          Low 9.607635e-01
## 1760            United States            M         High 9.985699e-01
## 1761            United States            M          Low 9.617207e-01
## 1762            United States            M          Low 9.987416e-01
## 1763            United States            M          Low 9.834994e-01
## 1764            United States            M         High 9.834123e-01
## 1765            United States            M         High 9.997625e-01
## 1766            United States            M         High 7.051030e-01
## 1767            United States            M         High 9.957694e-01
## 1768            United States            M         High 9.407075e-01
## 1769            United States            M         High 9.999765e-01
## 1770            United States            M         High 7.051030e-01
## 1771            United States            M         High 9.957694e-01
## 1772            United States            M         High 9.999718e-01
## 1773            United States            M          Low 9.854793e-01
## 1774            United States            M         High 9.407075e-01
## 1775            United States            M         High 9.999621e-01
## 1776            United States            M         High 8.759069e-01
## 1777            United States            M         High 9.932241e-01
## 1778            United States            M         High 9.407075e-01
## 1779            United States            M         High 9.999765e-01
## 1780            United States            M         High 9.736875e-01
## 1781            United States            M          Low 9.834994e-01
## 1782            United States            M          Low 9.503962e-01
## 1783            United States            M          Low 8.254608e-01
## 1784            United States            M         High 8.652233e-01
## 1785            United States            M          Low 9.983686e-01
## 1786            United States            M         High 2.259541e-01
## 1787            United States            M         High 8.404883e-01
## 1788            United States            M         High 9.591944e-01
## 1789            United States            M          Low 9.815571e-01
## 1790            United States            M         High 5.682427e-01
## 1791            United States            M         High 9.995910e-01
## 1792            United States            L         High 8.055738e-01
## 1793            United States            L          Low 9.450567e-01
## 1794            United States            M         High 9.654592e-01
## 1795            United States            M         High 9.999163e-01
## 1796            United States            M         High 9.930114e-01
## 1797            United States            M          Low 8.297805e-01
## 1798            United States            M         High 8.263115e-01
## 1799            United States            M         High 9.989095e-01
## 1800            United States            M          Low 6.638971e-01
## 1801            United States            M          Low 4.625284e-01
## 1802            United States            M         High 9.276397e-01
## 1803            United States            M          Low 9.885274e-01
## 1804            United States            M         High 9.940326e-01
## 1805            United States            M          Low 9.912530e-01
## 1806            United States            M         High 9.998923e-01
## 1807            United States            M          Low 9.051544e-01
## 1808            United States            M          Low 8.500832e-01
## 1809            United States            M          Low 4.893190e-01
## 1810            United States            M         High 9.736875e-01
## 1811            United States            M         High 9.989095e-01
## 1812            United States            M          Low 9.987416e-01
## 1813            United States            M          Low 9.987416e-01
## 1814                   Canada            M         High 2.723230e-01
## 1815                   Canada            M         High 5.404080e-01
## 1816            United States            M         High 7.885974e-01
## 1817            United States            M         High 9.989095e-01
## 1818            United States            M         High 9.853367e-01
## 1819            United States            M          Low 9.503962e-01
## 1820            United States            M          Low 9.834994e-01
## 1821            United States            M          Low 7.436734e-01
## 1822            United States            M         High 9.997773e-01
## 1823            United States            M          Low 9.574692e-01
## 1824            United States            M         High 3.885688e-01
## 1825            United States            M         High 9.989095e-01
## 1826            United States            M         High 8.795718e-01
## 1827            United States            M          Low 9.987416e-01
## 1828                   Canada            S          Low 6.445952e-04
## 1829            United States            M         High 4.762059e-01
## 1830            United States            M          Low 9.987416e-01
## 1831                 Portugal            M          Low 4.304619e-01
## 1832                 Portugal            M          Low 3.908828e-01
## 1833            United States            M         High 8.671405e-01
## 1834            United States            M          Low 9.877698e-01
## 1835            United States            M         High 9.998226e-01
## 1836            United States            M          Low 9.298415e-01
## 1837            United States            M         High 8.541058e-01
## 1838            United States            M         High 9.842702e-01
## 1839            United States            M          Low 9.783820e-01
## 1840            United States            M          Low 7.644164e-01
## 1841            United States            M          Low 9.402232e-01
## 1842            United States            M          Low 6.374655e-01
## 1843            United States            M         High 9.407075e-01
## 1844            United States            M         High 9.989095e-01
## 1845            United States            M          Low 8.573037e-01
## 1846            United States            M          Low 7.005497e-01
## 1847            United States            M          Low 9.968132e-01
## 1848            United States            M          Low 9.104205e-01
## 1849            United States            M          Low 9.912530e-01
## 1850            United States            M          Low 9.155231e-01
## 1851            United States            M         High 9.998923e-01
## 1852            United States            M          Low 9.051544e-01
## 1853            United States            M         High 7.726808e-01
## 1854            United States            M         High 9.321614e-01
## 1855            United States            M         High 9.918818e-01
## 1856            United States            M          Low 8.883857e-01
## 1857            United States            M          Low 8.225543e-01
## 1858            United States            M          Low 5.634352e-01
## 1859            United States            M         High 1.856827e-02
## 1860            United States            M         High 9.940326e-01
## 1861            United States            M         High 6.155339e-01
## 1862            United States            M          Low 9.522254e-01
## 1863            United States            M         High 3.174806e-03
## 1864            United States            M         High 5.219219e-01
## 1865            United States            M         High 4.316046e-01
## 1866            United States            M         High 4.316046e-01
## 1867            United States            M         High 9.916424e-01
## 1868            United States            M          Low 7.757578e-01
## 1869            United States            M         High 9.916424e-01
## 1870            United States            M          Low 7.757578e-01
## 1871            United States            M         High 8.765216e-01
## 1872            United States            M         High 9.795137e-01
## 1873            United States            M         High 1.006195e-01
## 1874            United States            M         High 9.996609e-01
## 1875            United States            M          Low 9.912530e-01
## 1876            United States            M          Low 8.973416e-01
## 1877            United States            M         High 1.315857e-01
## 1878            United States            M         High 9.999765e-01
## 1879            United States            L         High 7.293893e-01
## 1880            United States            L          Low 9.968132e-01
## 1881            United States            M         High 9.997773e-01
## 1882            United States            M          Low 9.912530e-01
## 1883            United States            L         High 9.998241e-01
## 1884            United States            L          Low 9.912530e-01
## 1885            United States            M         High 5.682427e-01
## 1886            United States            M         High 9.736875e-01
## 1887            United States            M         High 9.916424e-01
## 1888            United States            M          Low 7.757578e-01
## 1889            United States            M         High 8.263115e-01
## 1890            United States            M         High 9.964950e-01
## 1891            United States            M         High 1.315857e-01
## 1892            United States            M         High 9.999765e-01
## 1893            United States            M         High 1.315857e-01
## 1894            United States            M         High 9.999765e-01
## 1895            United States            L         High 8.055738e-01
## 1896            United States            L          Low 9.450567e-01
## 1897            United States            M         High 7.994675e-01
## 1898            United States            M          Low 9.062206e-01
## 1899                   Canada            M         High 6.604326e-01
## 1900                   Canada            M         High 9.999365e-01
## 1901            United States            M         High 1.006195e-01
## 1902            United States            M         High 9.390513e-01
## 1903            United States            M         High 8.671405e-01
## 1904            United States            M          Low 9.877698e-01
## 1905            United States            M         High 4.762059e-01
## 1906            United States            M          Low 9.834994e-01
## 1907            United States            M         High 3.174806e-03
## 1908            United States            M         High 9.383885e-02
## 1909            United States            M          Low 9.723657e-01
## 1910            United States            M          Low 8.077103e-01
## 1911            United States            M         High 9.994141e-01
## 1912            United States            M          Low 9.298415e-01
## 1913            United States            M         High 3.174806e-03
## 1914            United States            M         High 9.383885e-02
## 1915            United States            M         High 5.007853e-01
## 1916            United States            M          Low 9.986366e-01
## 1917            United States            M         High 5.682427e-01
## 1918            United States            M         High 9.736875e-01
## 1919            United States            M          Low 9.912530e-01
## 1920            United States            M          Low 8.973416e-01
## 1921            United States            M         High 8.263115e-01
## 1922            United States            M         High 9.964950e-01
## 1923            United States            M         High 9.916424e-01
## 1924            United States            M          Low 7.757578e-01
## 1925            United States            L         High 7.293893e-01
## 1926            United States            L          Low 9.968132e-01
## 1927            United States            M         High 9.930114e-01
## 1928            United States            M          Low 8.297805e-01
## 1929            United States            M          Low 9.961307e-01
## 1930            United States            M          Low 9.385592e-01
## 1931           United Kingdom            M          Low 4.126487e-02
## 1932           United Kingdom            M          Low 1.457745e-01
## 1933           United Kingdom            M         High 5.928289e-17
## 1934           United Kingdom            M          Low 2.833648e-01
## 1935            United States            M         High 9.999765e-01
## 1936            United States            M          Low 9.912530e-01
## 1937            United States            M          Low 9.885274e-01
## 1938            United States            M          Low 7.561921e-01
## 1939            United States            M         High 1.077741e-01
## 1940            United States            M         High 8.671405e-01
## 1941            United States            M         High 9.561671e-01
## 1942            United States            M          Low 9.903533e-01
## 1943            United States            M         High 8.639376e-01
## 1944            United States            M          Low 9.993481e-01
## 1945              Netherlands            M          Low 6.133108e-01
## 1946                    India            M          Low 2.227397e-01
## 1947           United Kingdom            M         High 5.928289e-17
## 1948           United Kingdom            M          Low 2.833853e-01
## 1949            United States            M         High 3.086540e-01
## 1950            United States            M         High 8.913819e-01
## 1951            United States            M         High 8.639376e-01
## 1952            United States            M          Low 9.993481e-01
## 1953           United Kingdom            M          Low 1.732619e-01
## 1954           United Kingdom            M          Low 2.694249e-01
## 1955            United States            M         High 9.462964e-01
## 1956            United States            M          Low 9.448600e-01
## 1957            United States            M         High 6.604326e-01
## 1958            United States            M         High 9.989095e-01
## 1959            United States            M         High 5.007853e-01
## 1960            United States            M          Low 9.986366e-01
## 1961            United States            M         High 1.158675e-02
## 1962            United States            M         High 5.682427e-01
## 1963            United States            M          Low 9.900857e-01
## 1964            United States            M          Low 9.442676e-01
## 1965            United States            M          Low 9.961307e-01
## 1966            United States            M          Low 9.385592e-01
## 1967            United States            M         High 7.925060e-01
## 1968            United States            M          Low 9.941120e-01
## 1969            United States            M          Low 9.723657e-01
## 1970            United States            M          Low 8.883857e-01
## 1971            United States            M         High 5.411397e-01
## 1972            United States            M         High 9.918283e-01
## 1973            United States            M         High 7.051030e-01
## 1974            United States            M         High 9.844512e-01
## 1975            United States            M         High 9.736875e-01
## 1976            United States            M         High 9.981643e-01
## 1977            United States            M         High 9.844512e-01
## 1978            United States            M          Low 8.225543e-01
## 1979            United States            M         High 9.996699e-01
## 1980            United States            M          Low 9.702433e-01
## 1981            United States            M         High 5.219219e-01
## 1982            United States            M         High 9.591944e-01
## 1983            United States            M         High 7.925060e-01
## 1984            United States            M          Low 9.941120e-01
## 1985            United States            M         High 9.998399e-01
## 1986            United States            M          Low 7.119489e-01
## 1987            United States            M         High 9.770626e-01
## 1988            United States            M          Low 8.122171e-01
## 1989            United States            M         High 4.934731e-01
## 1990            United States            M         High 9.998534e-01
## 1991            United States            M          Low 8.500899e-01
## 1992            United States            M          Low 4.893190e-01
## 1993            United States            M         High 8.450108e-01
## 1994            United States            M         High 9.729264e-01
## 1995            United States            M         High 8.913819e-01
## 1996            United States            M          Low 9.987416e-01
## 1997            United States            M         High 8.606973e-01
## 1998            United States            M         High 9.945041e-01
## 1999            United States            M          Low 9.987416e-01
## 2000            United States            M          Low 9.385592e-01
## 2001            United States            M         High 6.780696e-01
## 2002            United States            M         High 9.009209e-01
## 2003            United States            M         High 9.999765e-01
## 2004            United States            M          Low 9.987416e-01
## 2005            United States            M          Low 8.883857e-01
## 2006            United States            M          Low 7.005497e-01
## 2007                    Spain            M          Low 4.304619e-01
## 2008                    Spain            M          Low 3.595247e-01
## 2009            United States            M          Low 8.883857e-01
## 2010            United States            M          Low 7.005497e-01
## 2011                   Latvia            M          Low 6.276047e-01
## 2012                   Latvia            M          Low 3.707601e-01
## 2013            United States            M          Low 9.987416e-01
## 2014            United States            M          Low 8.883857e-01
## 2015            United States            M          Low 9.834994e-01
## 2016            United States            M          Low 9.723657e-01
## 2017            United States            M          Low 9.869807e-01
## 2018            United States            M          Low 8.824777e-01
## 2019            United States            M          Low 9.912530e-01
## 2020            United States            M          Low 9.723657e-01
## 2021            United States            M         High 9.205467e-01
## 2022            United States            M          Low 9.938391e-01
## 2023            United States            M          Low 9.961307e-01
## 2024            United States            M          Low 8.225543e-01
## 2025            United States            M         High 7.173042e-01
## 2026            United States            M         High 9.995914e-01
## 2027            United States            M         High 9.736875e-01
## 2028            United States            M          Low 9.987416e-01
## 2029            United States            M         High 9.736875e-01
## 2030            United States            M         High 9.981643e-01
## 2031           United Kingdom            M          Low 5.944416e-02
## 2032           United Kingdom            M          Low 2.114512e-01
## 2033            United States            M          Low 9.732639e-01
## 2034            United States            M          Low 6.952492e-01
## 2035            United States            M         High 9.591944e-01
## 2036            United States            M          Low 9.794758e-01
## 2037            United States            M          Low 9.987416e-01
## 2038            United States            M          Low 8.225543e-01
## 2039            United States            M         High 7.925060e-01
## 2040            United States            M          Low 9.941120e-01
## 2041            United States            M         High 9.998923e-01
## 2042            United States            M          Low 9.051544e-01
## 2043            United States            M          Low 8.225543e-01
## 2044            United States            M          Low 7.436734e-01
## 2045            United States            M          Low 9.987416e-01
## 2046            United States            M          Low 8.883857e-01
## 2047            United States            M         High 9.918818e-01
## 2048            United States            M          Low 8.883857e-01
## 2049            United States            M          Low 9.574692e-01
## 2050            United States            M          Low 9.155231e-01
## 2051            United States            M         High 1.490402e-01
## 2052            United States            M         High 9.997236e-01
## 2053            United States            M         High 7.480174e-01
## 2054            United States            M         High 9.522892e-01
## 2055            United States            M          Low 9.685873e-01
## 2056            United States            M          Low 8.689326e-01
## 2057            United States            M          Low 8.883857e-01
## 2058           United Kingdom            M          Low 4.304619e-01
## 2059            United States            M          Low 9.993040e-01
## 2060            United States            M          Low 9.885274e-01
## 2061            United States            M          Low 8.854513e-01
## 2062            United States            M          Low 5.015395e-01
## 2063            United States            M         High 8.263115e-01
## 2064            United States            M         High 9.964950e-01
## 2065            United States            M         High 9.892790e-01
## 2066            United States            M          Low 9.834994e-01
## 2067            United States            M         High 4.762059e-01
## 2068            United States            M         High 9.407075e-01
## 2069            United States            M         High 5.219219e-01
## 2070            United States            M         High 5.219219e-01
## 2071            United States            M         High 6.155339e-01
## 2072            United States            M          Low 6.411309e-01
## 2073            United States            M         High 9.998241e-01
## 2074            United States            M          Low 9.983686e-01
## 2075            United States            M          Low 9.993040e-01
## 2076            United States            M          Low 9.885274e-01
## 2077            United States            M         High 9.892790e-01
## 2078            United States            M          Low 9.834994e-01
## 2079            United States            M          Low 9.885274e-01
## 2080            United States            M          Low 7.561921e-01
## 2081            United States            M         High 9.945041e-01
## 2082            United States            M          Low 9.228683e-01
## 2083            United States            M         High 9.999765e-01
## 2084            United States            M          Low 8.883857e-01
## 2085            United States            M          Low 9.986003e-01
## 2086            United States            M          Low 7.900263e-01
## 2087                Mauritius            S          Low 8.883857e-01
## 2088            United States            M          Low 9.995051e-01
## 2089            United States            M          Low 8.573037e-01
## 2090            United States            M         High 9.997773e-01
## 2091            United States            M          Low 9.912530e-01
## 2092            United States            M         High 4.403236e-02
## 2093            United States            M         High 9.485928e-01
## 2094                   Canada            M         High 5.868166e-01
## 2095                   Canada            M         High 9.997256e-01
## 2096            United States            M         High 9.997773e-01
## 2097            United States            M          Low 9.204611e-01
## 2098           United Kingdom            M         High 2.192444e-03
## 2099           United Kingdom            M          Low 5.608233e-02
## 2100            United States            M         High 1.434988e-01
## 2101            United States            M         High 9.014675e-01
## 2102            United States            M         High 3.154646e-01
## 2103            United States            M          Low 9.927749e-01
## 2104            United States            M         High 7.480174e-01
## 2105            United States            M         High 9.999765e-01
## 2106           United Kingdom            M          Low 2.502084e-01
## 2107           United Kingdom            M          Low 2.833853e-01
## 2108            United States            M         High 4.493700e-01
## 2109            United States            M         High 9.980884e-01
## 2110            United States            M         High 3.885688e-01
## 2111            United States            M         High 6.146101e-01
## 2112            United States            M         High 8.639376e-01
## 2113            United States            M          Low 9.993481e-01
## 2114            United States            M         High 9.407075e-01
## 2115            United States            M         High 9.997773e-01
## 2116            United States            M         High 8.055738e-01
## 2117            United States            M          Low 9.450567e-01
## 2118            United States            M         High 9.844512e-01
## 2119            United States            M          Low 9.912530e-01
## 2120            United States            M         High 9.204448e-01
## 2121            United States            M         High 9.809056e-01
## 2122            United States            M         High 8.913819e-01
## 2123            United States            M         High 9.918818e-01
## 2124            United States            M         High 9.331999e-01
## 2125            United States            M          Low 9.955484e-01
## 2126                   Canada            M         High 5.868166e-01
## 2127                   Canada            M         High 9.997256e-01
## 2128            United States            M         High 8.981635e-01
## 2129            United States            M          Low 8.276267e-01
## 2130            United States            M         High 9.998399e-01
## 2131            United States            M          Low 7.119489e-01
## 2132            United States            M          Low 9.912530e-01
## 2133            United States            M          Low 9.574692e-01
## 2134            United States            M          Low 9.385592e-01
## 2135            United States            M          Low 6.557318e-01
## 2136                  Germany            M          Low 3.830049e-01
## 2137            United States            M         High 1.315857e-01
## 2138            United States            M         High 8.913819e-01
## 2139            United States            M         High 9.998241e-01
## 2140            United States            M          Low 9.961307e-01
## 2141            United States            M          Low 9.591364e-01
## 2142            United States            M          Low 6.872549e-01
## 2143            United States            M         High 9.761277e-01
## 2144            United States            M          Low 9.342832e-01
## 2145            United States            M         High 9.736875e-01
## 2146            United States            M          Low 9.987416e-01
## 2147            United States            M         High 7.396033e-01
## 2148            United States            M         High 9.736875e-01
## 2149            United States            L         High 7.293893e-01
## 2150            United States            L          Low 9.968132e-01
## 2151            United States            M         High 2.723230e-01
## 2152            United States            M         High 9.918818e-01
## 2153            United States            M         High 6.302812e-01
## 2154            United States            M         High 9.997790e-01
## 2155            United States            L         High 7.293893e-01
## 2156            United States            L          Low 9.968132e-01
## 2157            United States            M         High 9.276397e-01
## 2158            United States            M          Low 9.385592e-01
## 2159            United States            M         High 1.077741e-01
## 2160            United States            M         High 9.736875e-01
## 2161            United States            L         High 8.055738e-01
## 2162            United States            L          Low 9.578058e-01
## 2163            United States            M         High 5.868166e-01
## 2164            United States            M         High 9.825796e-01
## 2165            United States            M          Low 9.654067e-01
## 2166            United States            M          Low 7.979471e-01
## 2167            United States            M         High 9.949503e-01
## 2168            United States            M         High 9.999765e-01
## 2169            United States            M          Low 8.225543e-01
## 2170            United States            M          Low 6.557318e-01
## 2171            United States            L         High 8.055738e-01
## 2172            United States            L          Low 9.450567e-01
## 2173            United States            M         High 1.077741e-01
## 2174            United States            M         High 8.671405e-01
## 2175            United States            M          Low 9.961307e-01
## 2176            United States            M          Low 9.385592e-01
## 2177            United States            M         High 9.964950e-01
## 2178            United States            M          Low 9.617207e-01
## 2179            United States            M         High 8.913819e-01
## 2180            United States            M         High 9.844512e-01
## 2181            United States            L         High 9.591944e-01
## 2182            United States            L          Low 7.402998e-01
## 2183            United States            M         High 9.723752e-01
## 2184            United States            M          Low 9.312272e-01
## 2185            United States            M         High 8.913819e-01
## 2186            United States            M         High 9.999765e-01
## 2187            United States            M         High 8.373464e-01
## 2188            United States            M         High 9.999683e-01
## 2189            United States            M         High 5.587770e-02
## 2190            United States            M         High 9.991890e-01
## 2191            United States            M         High 9.998241e-01
## 2192            United States            M          Low 9.961307e-01
## 2193            United States            M         High 7.203531e-01
## 2194            United States            M         High 9.996925e-01
## 2195            United States            M         High 7.480174e-01
## 2196            United States            M         High 9.989095e-01
## 2197            United States            M         High 9.940326e-01
## 2198            United States            M          Low 9.912530e-01
## 2199            United States            M         High 5.219219e-01
## 2200            United States            M         High 9.591944e-01
## 2201            United States            M         High 9.971324e-01
## 2202            United States            M          Low 9.912530e-01
## 2203            United States            M          Low 6.328763e-01
## 2204            United States            M          Low 4.402573e-01
## 2205            United States            M         High 3.086540e-01
## 2206            United States            M         High 6.403766e-01
## 2207                   Poland            L          Low 3.908828e-01
## 2208            United States            M          Low 9.155231e-01
## 2209            United States            M          Low 7.266652e-01
## 2210            United States            M          Low 9.591364e-01
## 2211            United States            M          Low 6.872549e-01
## 2212            United States            M         High 7.041363e-03
## 2213            United States            M         High 7.480174e-01
## 2214            United States            M         High 9.998241e-01
## 2215            United States            M          Low 9.912530e-01
## 2216            United States            M         High 9.779741e-01
## 2217            United States            M          Low 9.574692e-01
## 2218            United States            M         High 4.762059e-01
## 2219            United States            M          Low 9.834994e-01
## 2220            United States            M         High 8.671405e-01
## 2221            United States            M         High 9.999765e-01
## 2222            United States            M          Low 9.385592e-01
## 2223            United States            M          Low 8.573037e-01
## 2224            United States            M          Low 9.995051e-01
## 2225            United States            M          Low 8.573037e-01
## 2226            United States            M         High 4.762059e-01
## 2227            United States            M          Low 9.834994e-01
## 2228            United States            M         High 2.386533e-01
## 2229            United States            M         High 5.682427e-01
## 2230            United States            M          Low 9.402232e-01
## 2231            United States            M          Low 6.374655e-01
## 2232            United States            M         High 7.806945e-01
## 2233            United States            M         High 9.624061e-01
## 2234            United States            M         High 9.321614e-01
## 2235            United States            M         High 9.971324e-01
## 2236            United States            M         High 7.480174e-01
## 2237            United States            M         High 9.989095e-01
## 2238            United States            M         High 7.051030e-01
## 2239            United States            M         High 9.996765e-01
## 2240            United States            M         High 1.434988e-01
## 2241            United States            M         High 9.014675e-01
## 2242            United States            M         High 9.321614e-01
## 2243            United States            M         High 9.971324e-01
## 2244                   Canada            M         High 9.940326e-01
## 2245                   Canada            M          Low 9.466151e-01
## 2246            United States            M         High 8.639376e-01
## 2247            United States            M          Low 9.993481e-01
## 2248            United States            M         High 4.454608e-01
## 2249            United States            M         High 8.057255e-01
## 2250            United States            M         High 9.407075e-01
## 2251            United States            M         High 9.999621e-01
## 2252            United States            M         High 3.411103e-01
## 2253            United States            M         High 9.961436e-01
## 2254            United States            M         High 9.276397e-01
## 2255            United States            M          Low 9.953574e-01
## 2256            United States            M         High 9.736875e-01
## 2257            United States            M         High 9.999765e-01
## 2258            United States            M          Low 9.740963e-01
## 2259            United States            M          Low 6.774986e-01
## 2260            United States            M         High 9.736875e-01
## 2261            United States            M          Low 9.986545e-01
## 2262            United States            L         High 7.293893e-01
## 2263            United States            L          Low 9.968132e-01
## 2264            United States            M         High 4.404131e-01
## 2265            United States            M         High 8.913819e-01
## 2266            United States            M         High 3.885688e-01
## 2267            United States            M         High 9.321614e-01
## 2268            United States            M         High 2.916929e-01
## 2269            United States            M         High 9.926018e-01
## 2270            United States            L         High 9.180998e-01
## 2271            United States            M         High 8.639376e-01
## 2272            United States            M          Low 9.993481e-01
## 2273                   Russia            L          Low 2.166145e-01
## 2274            United States            M         High 9.697458e-01
## 2275            United States            M          Low 9.473844e-01
## 2276            United States            M         High 8.639376e-01
## 2277            United States            M          Low 9.993481e-01
## 2278            United States            M         High 9.736875e-01
## 2279            United States            M         High 9.981643e-01
## 2280            United States            M         High 9.999765e-01
## 2281            United States            M          Low 8.883857e-01
## 2282            United States            M         High 4.716877e-01
## 2283            United States            M         High 9.952895e-01
## 2284            United States            M         High 4.989552e-01
## 2285            United States            M         High 9.889925e-01
## 2286            United States            M         High 4.989552e-01
## 2287            United States            M         High 9.889925e-01
## 2288            United States            M         High 7.200071e-01
## 2289            United States            M          Low 9.927859e-01
## 2290                   Canada            L          Low 1.029640e-01
## 2291                  Germany            M          Low 3.433524e-01
## 2292                    Italy            S          Low 4.698727e-01
## 2293            United States            M         High 6.909709e-01
## 2294            United States            M          Low 9.987753e-01
## 2295                   Canada            M         High 8.639376e-01
## 2296                   Canada            M          Low 9.993481e-01
## 2297            United States            M         High 7.480174e-01
## 2298            United States            M          Low 9.987416e-01
## 2299            United States            M         High 8.632925e-01
## 2300            United States            M          Low 9.861596e-01
## 2301            United States            M          Low 9.967876e-01
## 2302            United States            M          Low 6.644401e-01
## 2303            United States            M          Low 9.896058e-01
## 2304            United States            M          Low 7.943125e-01
## 2305           United Kingdom            M          Low 9.540655e-02
## 2306           United Kingdom            M          Low 1.732619e-01
## 2307                 Colombia            M          Low 9.924405e-01
## 2308                 Colombia            M          Low 8.077103e-01
## 2309            United States            M         High 9.588645e-01
## 2310            United States            M          Low 9.947591e-01
## 2311            United States            M         High 9.736875e-01
## 2312            United States            M         High 9.999765e-01
## 2313            United States            M          Low 8.225543e-01
## 2314            United States            M          Low 7.005497e-01
## 2315            United States            L          Low 9.912530e-01
## 2316           United Kingdom            M          Low 2.502084e-01
## 2317           United Kingdom            M          Low 2.833853e-01
## 2318            United States            M          Low 9.591364e-01
## 2319            United States            M          Low 6.872549e-01
## 2320            United States            M          Low 9.834994e-01
## 2321            United States            M          Low 7.845206e-01
## 2322            United States            M          Low 7.436734e-01
## 2323            United States            M          Low 6.557318e-01
## 2324            United States            M         High 3.885688e-01
## 2325            United States            M         High 9.989095e-01
## 2326            United States            M          Low 9.155231e-01
## 2327            United States            M          Low 7.436734e-01
## 2328                   Canada            M         High 9.999765e-01
## 2329                   Canada            M          Low 8.573037e-01
## 2330            United States            M         High 8.623221e-01
## 2331            United States            M         High 9.999148e-01
## 2332            United States            M         High 9.999765e-01
## 2333            United States            M          Low 9.723657e-01
## 2334            United States            M         High 9.999765e-01
## 2335            United States            M          Low 9.385592e-01
## 2336            United States            M         High 8.913819e-01
## 2337            United States            M          Low 9.990515e-01
## 2338            United States            M         High 6.604326e-01
## 2339            United States            M         High 9.844512e-01
## 2340            United States            M         High 9.999765e-01
## 2341            United States            M          Low 9.723657e-01
## 2342            United States            M         High 8.431815e-01
## 2343            United States            M          Low 9.883424e-01
## 2344            United States            M         High 9.844512e-01
## 2345            United States            M          Low 9.961307e-01
## 2346            United States            M          Low 8.883857e-01
## 2347            United States            M          Low 7.005497e-01
## 2348            United States            M         High 9.918818e-01
## 2349            United States            M         High 9.997236e-01
## 2350            United States            M         High 8.639376e-01
## 2351            United States            M          Low 9.993481e-01
## 2352            United States            M         High 4.284488e-01
## 2353            United States            M         High 8.055738e-01
## 2354            United States            M         High 9.918818e-01
## 2355            United States            M          Low 8.883857e-01
## 2356            United States            M          Low 9.223901e-01
## 2357            United States            M          Low 7.586699e-01
## 2358            United States            M          Low 9.912530e-01
## 2359            United States            M          Low 6.478873e-01
## 2360                   Canada            M          Low 8.920324e-01
## 2361                   Canada            M          Low 7.479117e-01
## 2362            United States            M         High 1.311378e-01
## 2363            United States            M         High 9.999736e-01
## 2364            United States            M         High 7.678212e-01
## 2365            United States            M         High 9.997773e-01
## 2366           United Kingdom            M          Low 2.268724e-01
## 2367           United Kingdom            M          Low 2.912477e-01
## 2368            United States            M          Low 9.899501e-01
## 2369            United States            M          Low 9.385592e-01
## 2370            United States            M         High 9.591944e-01
## 2371            United States            M          Low 4.715285e-01
## 2372            United States            M         High 8.263115e-01
## 2373            United States            M          Low 9.298415e-01
## 2374            United States            M          Low 7.436734e-01
## 2375            United States            M          Low 5.587926e-01
## 2376            United States            M         High 4.762059e-01
## 2377            United States            M         High 9.871692e-01
## 2378            United States            M         High 7.885974e-01
## 2379            United States            M         High 9.999365e-01
## 2380           United Kingdom            M         High 5.068983e-05
## 2381           United Kingdom            M         High 1.390231e-02
## 2382            United States            M          Low 9.155231e-01
## 2383            United States            M          Low 7.005497e-01
## 2384            United States            L          Low 5.634352e-01
## 2385              South Korea            S          Low 5.079575e-01
## 2386            United States            M         High 8.795718e-01
## 2387            United States            M          Low 9.935172e-01
## 2388            United States            M         High 9.561671e-01
## 2389            United States            M          Low 9.903533e-01
## 2390            United States            M         High 8.639376e-01
## 2391            United States            M          Low 9.993481e-01
## 2392           United Kingdom            M          Low 2.502084e-01
## 2393           United Kingdom            M          Low 2.833853e-01
## 2394            United States            M         High 7.562869e-02
## 2395            United States            M         High 8.795718e-01
## 2396           United Kingdom            M          Low 2.218407e-01
## 2397            United States            M         High 4.403236e-02
## 2398            United States            M         High 9.485928e-01
## 2399            United States            M          Low 9.987416e-01
## 2400            United States            M          Low 9.385592e-01
## 2401            United States            M         High 9.407075e-01
## 2402            United States            M         High 9.918818e-01
## 2403            United States            M         High 9.736875e-01
## 2404            United States            M         High 9.981643e-01
## 2405            United States            M         High 9.999765e-01
## 2406            United States            M          Low 9.834994e-01
## 2407            United States            M          Low 9.987416e-01
## 2408            United States            M          Low 9.155231e-01
## 2409            United States            M          Low 8.225543e-01
## 2410            United States            M          Low 6.827922e-01
## 2411            United States            M         High 9.997773e-01
## 2412            United States            M          Low 9.574692e-01
## 2413            United States            M         High 9.997773e-01
## 2414            United States            M          Low 9.912530e-01
## 2415            United States            M         High 8.639376e-01
## 2416            United States            M          Low 9.993481e-01
## 2417            United States            M         High 9.999765e-01
## 2418            United States            M          Low 9.961307e-01
## 2419            United States            M         High 4.989552e-01
## 2420            United States            M         High 9.889925e-01
## 2421            United States            M         High 4.493179e-02
## 2422            United States            M         High 3.116710e-01
## 2423            United States            M         High 7.051030e-01
## 2424            United States            M         High 9.996765e-01
## 2425            United States            M         High 9.407075e-01
## 2426            United States            M         High 9.918818e-01
## 2427            United States            M         High 9.561671e-01
## 2428            United States            M          Low 9.903533e-01
## 2429            United States            M          Low 7.436734e-01
## 2430            United States            M          Low 6.557318e-01
## 2431            United States            M         High 8.639376e-01
## 2432            United States            M          Low 9.983276e-01
## 2433                   Canada            M         High 8.639376e-01
## 2434                   Canada            M          Low 9.993481e-01
## 2435            United States            M          Low 9.591364e-01
## 2436            United States            M          Low 6.872549e-01
## 2437            United States            M         High 9.998604e-01
## 2438            United States            M          Low 8.701946e-01
## 2439            United States            M         High 9.999206e-01
## 2440            United States            M          Low 8.276267e-01
## 2441            United States            M         High 4.141794e-01
## 2442            United States            M         High 9.079007e-01
## 2443            United States            M          Low 9.987416e-01
## 2444            United States            M          Low 9.723657e-01
## 2445            United States            M          Low 7.845206e-01
## 2446            United States            M          Low 7.352126e-01
## 2447            United States            M          Low 8.500899e-01
## 2448            United States            M          Low 4.893190e-01
## 2449            United States            M         High 9.998241e-01
## 2450            United States            M          Low 7.829374e-01
## 2451            United States            M         High 4.716877e-01
## 2452            United States            M         High 9.952895e-01
## 2453           United Kingdom            M          Low 2.953021e-02
## 2454           United Kingdom            M          Low 1.457745e-01
## 2455            United States            M         High 9.853367e-01
## 2456            United States            M          Low 9.503962e-01
## 2457            United States            M          Low 9.961307e-01
## 2458            United States            M          Low 8.225543e-01
## 2459           United Kingdom            M         High 5.509903e-07
## 2460           United Kingdom            M         High 7.335471e-04
## 2461            United States            M          Low 9.961307e-01
## 2462            United States            M          Low 8.225543e-01
## 2463                  Estonia            M          Low 4.636060e-01
## 2464                  Estonia            M          Low 3.226979e-01
## 2465            United States            M         High 3.885688e-01
## 2466            United States            M         High 7.051030e-01
## 2467            United States            M         High 6.909709e-01
## 2468            United States            M          Low 9.987753e-01
## 2469            United States            M         High 8.632925e-01
## 2470            United States            M          Low 9.861596e-01
## 2471            United States            M         High 2.897698e-02
## 2472            United States            M         High 8.116011e-01
## 2473            United States            M         High 7.994675e-01
## 2474            United States            M          Low 9.993903e-01
## 2475            United States            M         High 9.999126e-01
## 2476            United States            M          Low 9.242927e-01
## 2477            United States            M         High 9.718308e-02
## 2478            United States            M          Low 9.993040e-01
## 2479            United States            M          Low 9.834994e-01
## 2480            United States            M          Low 7.845206e-01
## 2481            United States            M         High 6.909709e-01
## 2482            United States            M          Low 9.987753e-01
## 2483            United States            M         High 1.190323e-01
## 2484            United States            M         High 8.774407e-01
## 2485            United States            M          Low 9.995051e-01
## 2486            United States            M          Low 8.573037e-01
## 2487            United States            L         High 9.591944e-01
## 2488            United States            L          Low 7.402998e-01
## 2489            United States            M         High 8.411827e-01
## 2490            United States            M         High 9.993302e-01
## 2491            United States            M         High 1.190323e-01
## 2492            United States            M         High 8.774407e-01
## 2493            United States            M         High 3.174806e-03
## 2494            United States            M         High 8.913819e-01
## 2495            United States            M         High 5.561715e-01
## 2496            United States            M         High 8.119826e-01
## 2497            United States            M          Low 9.574692e-01
## 2498            United States            M          Low 8.225543e-01
## 2499            United States            M         High 9.889925e-01
## 2500            United States            M          Low 9.926645e-01
## 2501            United States            M          Low 9.155231e-01
## 2502            United States            M          Low 6.557318e-01
## 2503            United States            M         High 4.492811e-01
## 2504            United States            M          Low 9.811521e-01
## 2505            United States            M         High 5.682427e-01
## 2506            United States            M          Low 9.994106e-01
## 2507                   Poland            M          Low 1.418407e-41
## 2508            United States            M         High 4.403236e-02
## 2509            United States            M         High 8.671405e-01
## 2510            United States            M         High 9.736875e-01
## 2511            United States            M         High 9.989095e-01
## 2512            United States            M         High 9.248472e-01
## 2513            United States            M          Low 9.922557e-01
## 2514            United States            M         High 7.007051e-01
## 2515            United States            M          Low 9.985257e-01
## 2516            United States            M          Low 9.995051e-01
## 2517            United States            M          Low 8.573037e-01
## 2518            United States            M         High 4.746955e-02
## 2519            United States            M         High 7.583617e-01
## 2520            United States            M         High 4.687120e-01
## 2521            United States            M         High 9.995677e-01
## 2522            United States            M         High 3.885688e-01
## 2523            United States            M         High 9.989095e-01
## 2524            United States            M         High 8.703056e-01
## 2525            United States            M         High 9.953718e-01
## 2526            United States            M         High 9.736875e-01
## 2527            United States            M         High 9.981643e-01
## 2528            United States            M         High 9.997773e-01
## 2529            United States            M          Low 9.574692e-01
## 2530            United States            M         High 9.726697e-01
## 2531            United States            M          Low 9.982859e-01
## 2532            United States            M         High 9.999589e-01
## 2533            United States            M          Low 8.031587e-01
## 2534            United States            M          Low 8.039204e-01
## 2535            United States            M          Low 5.866529e-01
## 2536            United States            M         High 9.994993e-01
## 2537            United States            M          Low 9.137558e-01
## 2538            United States            M          Low 9.591364e-01
## 2539            United States            M          Low 6.872549e-01
## 2540            United States            M         High 9.718308e-02
## 2541            United States            M          Low 9.993040e-01
## 2542            United States            M          Low 9.985634e-01
## 2543            United States            M          Low 9.685171e-01
## 2544            United States            M          Low 9.901530e-01
## 2545            United States            M          Low 8.788577e-01
## 2546            United States            M         High 9.299213e-01
## 2547            United States            M          Low 9.987416e-01
## 2548           United Kingdom            M          Low 2.694249e-01
## 2549           United Kingdom            M          Low 2.694249e-01
## 2550            United States            M          Low 8.764747e-01
## 2551            United States            M          Low 6.266686e-01
## 2552            United States            M         High 9.997773e-01
## 2553            United States            M          Low 9.912530e-01
## 2554            United States            M          Low 8.573037e-01
## 2555            United States            M          Low 7.436734e-01
## 2556            United States            M         High 8.639376e-01
## 2557            United States            M          Low 9.993481e-01
## 2558            United States            M          Low 9.723657e-01
## 2559            United States            M          Low 8.883857e-01
## 2560            United States            M         High 9.407075e-01
## 2561            United States            M         High 9.918818e-01
## 2562            United States            M         High 9.998241e-01
## 2563            United States            M          Low 9.912530e-01
## 2564            United States            M          Low 9.591364e-01
## 2565            United States            M          Low 6.872549e-01
## 2566            United States            M         High 8.639376e-01
## 2567            United States            M          Low 9.993481e-01
## 2568            United States            S         High 9.918818e-01
## 2569            United States            S          Low 9.723657e-01
## 2570            United States            M         High 6.694784e-01
## 2571            United States            M          Low 9.924405e-01
## 2572           United Kingdom            M          Low 1.195016e-01
## 2573           United Kingdom            M          Low 1.732619e-01
## 2574            United States            M         High 9.321614e-01
## 2575            United States            M         High 9.971324e-01
## 2576            United States            M         High 9.697458e-01
## 2577            United States            M          Low 9.473844e-01
## 2578            United States            M         High 7.155850e-01
## 2579            United States            M         High 9.891364e-01
## 2580            United States            M         High 3.987330e-01
## 2581            United States            M         High 8.959286e-01
## 2582            United States            M         High 9.591944e-01
## 2583            United States            M         High 9.999508e-01
## 2584            United States            M         High 9.248472e-01
## 2585            United States            M          Low 9.715812e-01
## 2586            United States            M         High 9.830603e-01
## 2587            United States            M          Low 9.972639e-01
## 2588            United States            M         High 4.107268e-01
## 2589            United States            M         High 9.253168e-01
## 2590            United States            M         High 6.707769e-01
## 2591            United States            M         High 9.997282e-01
## 2592            United States            M         High 9.918818e-01
## 2593            United States            M          Low 9.987416e-01
## 2594            United States            M         High 9.998241e-01
## 2595            United States            M          Low 9.834994e-01
## 2596            United States            M         High 9.918818e-01
## 2597            United States            M          Low 9.987416e-01
## 2598            United States            M         High 9.999762e-01
## 2599            United States            M          Low 9.736431e-01
## 2600            United States            M         High 9.825796e-01
## 2601            United States            M         High 9.999621e-01
## 2602            United States            L         High 8.913819e-01
## 2603            United States            M          Low 9.591364e-01
## 2604            United States            M          Low 6.872549e-01
## 2605           United Kingdom            M          Low 2.953021e-02
## 2606           United Kingdom            M          Low 1.457745e-01
## 2607            United States            M         High 7.051030e-01
## 2608            United States            M         High 9.881671e-01
## 2609           United Kingdom            M          Low 2.007518e-01
## 2610           United Kingdom            M          Low 2.694249e-01
## 2611            United States            M          Low 9.385592e-01
## 2612            United States            M          Low 7.845206e-01
## 2613           United Kingdom            M          Low 2.928437e-01
## 2614           United Kingdom            M          Low 2.871634e-01
## 2615            United States            M         High 5.219219e-01
## 2616            United States            M         High 9.181392e-01
## 2617            United States            M          Low 9.987416e-01
## 2618            United States            M          Low 8.883857e-01
## 2619            United States            M         High 7.979289e-01
## 2620            United States            M         High 9.729264e-01
## 2621            United States            M         High 9.997773e-01
## 2622            United States            M          Low 8.225543e-01
## 2623            United States            M         High 5.294211e-03
## 2624            United States            M         High 4.734936e-01
## 2625            United States            M         High 4.716877e-01
## 2626            United States            M         High 9.952895e-01
## 2627            United States            M         High 3.696615e-01
## 2628            United States            M         High 6.531899e-01
## 2629            United States            M         High 9.999206e-01
## 2630            United States            M          Low 8.276267e-01
## 2631            United States            M         High 9.591944e-01
## 2632            United States            M         High 9.997773e-01
## 2633           United Kingdom            M          Low 5.608233e-02
## 2634           United Kingdom            M          Low 1.732619e-01
## 2635           United Kingdom            M          Low 1.457745e-01
## 2636           United Kingdom            M          Low 2.816894e-01
## 2637            United States            M          Low 9.574692e-01
## 2638            United States            M          Low 8.225543e-01
## 2639            United States            M         High 9.180998e-01
## 2640            United States            M          Low 6.872549e-01
## 2641            United States            M         High 9.998241e-01
## 2642            United States            M          Low 7.829374e-01
## 2643            United States            M         High 9.591944e-01
## 2644            United States            M         High 9.997773e-01
## 2645            United States            M         High 9.992138e-01
## 2646            United States            M          Low 9.939179e-01
## 2647            United States            S          Low 9.987416e-01
## 2648            United States            M          Low 9.912530e-01
## 2649            United States            M          Low 8.883857e-01
## 2650            United States            M         High 9.972498e-01
## 2651            United States            M          Low 9.853060e-01
## 2652            United States            M         High 7.051030e-01
## 2653            United States            M          Low 9.464875e-01
## 2654            United States            L         High 8.567600e-01
## 2655            United States            L          Low 9.189970e-01
## 2656            United States            M          Low 9.591364e-01
## 2657            United States            M          Low 6.872549e-01
## 2658            United States            M          Low 9.104205e-01
## 2659            United States            M          Low 8.077103e-01
## 2660            United States            M         High 7.804796e-01
## 2661            United States            M          Low 8.942943e-01
## 2662                    Spain            M          Low 4.304619e-01
## 2663                    Spain            M          Low 3.595247e-01
## 2664            United States            L         High 9.583441e-02
## 2665            United States            L         High 9.991635e-01
## 2666            United States            M          Low 9.993040e-01
## 2667            United States            M          Low 9.885274e-01
## 2668            United States            M         High 9.855958e-01
## 2669            United States            M          Low 9.866561e-01
## 2670            United States            M         High 6.909709e-01
## 2671            United States            M          Low 9.987753e-01
## 2672            United States            M         High 9.736875e-01
## 2673            United States            M         High 9.981643e-01
## 2674            United States            M         High 3.718810e-01
## 2675            United States            M         High 9.558226e-01
## 2676            United States            L         High 9.591944e-01
## 2677            United States            L          Low 7.402998e-01
## 2678                   Canada            M          Low 9.899501e-01
## 2679                   Canada            M          Low 8.573037e-01
## 2680            United States            M         High 9.844512e-01
## 2681            United States            M          Low 9.723657e-01
## 2682           United Kingdom            M          Low 1.732619e-01
## 2683           United Kingdom            M          Low 2.694249e-01
## 2684                    Italy            L          Low 2.951867e-01
## 2685            United States            S          Low 9.912530e-01
## 2686            United States            S          Low 9.155231e-01
## 2687            United States            M         High 6.403766e-01
## 2688            United States            M          Low 9.696974e-01
## 2689            United States            M         High 3.238970e-01
## 2690            United States            M          Low 9.976780e-01
## 2691            United States            M         High 9.999254e-01
## 2692            United States            M          Low 9.116807e-01
## 2693            United States            M         High 7.806945e-01
## 2694            United States            M         High 9.624061e-01
## 2695            United States            M         High 9.407075e-01
## 2696            United States            M         High 9.997773e-01
## 2697            United States            M         High 9.998241e-01
## 2698            United States            M          Low 9.961307e-01
## 2699            United States            M         High 6.962903e-01
## 2700            United States            M         High 9.989095e-01
## 2701            United States            M          Low 7.436734e-01
## 2702            United States            M          Low 6.557318e-01
## 2703            United States            M         High 8.981635e-01
## 2704            United States            M          Low 9.786036e-01
## 2705            United States            M         High 6.604326e-01
## 2706            United States            M         High 9.130823e-01
## 2707            United States            M         High 9.697458e-01
## 2708            United States            M          Low 9.869807e-01
## 2709            United States            S         High 8.263115e-01
## 2710                   France            M          Low 9.723657e-01
## 2711            United States            M         High 3.174806e-03
## 2712            United States            M         High 5.219219e-01
## 2713            United States            M         High 7.051030e-01
## 2714            United States            M         High 9.844512e-01
## 2715                   Canada            M          Low 6.918965e-05
## 2716                   Canada            M          Low 2.457529e-03
## 2717            United States            M          Low 9.931527e-01
## 2718            United States            M          Low 9.171212e-01
## 2719            United States            M         High 8.263115e-01
## 2720            United States            M         High 9.999655e-01
## 2721            United States            M         High 9.999358e-01
## 2722            United States            M          Low 9.485261e-01
## 2723            United States            M         High 5.682427e-01
## 2724            United States            M         High 9.975825e-01
## 2725            United States            M          Low 9.955196e-01
## 2726            United States            M          Low 9.062206e-01
## 2727            United States            M          Low 6.098248e-01
## 2728            United States            M          Low 5.171519e-01
## 2729            United States            M         High 6.238375e-01
## 2730            United States            M         High 9.825796e-01
## 2731            United States            M         High 9.962156e-01
## 2732            United States            M          Low 9.874580e-01
## 2733            United States            M         High 9.726697e-01
## 2734            United States            M          Low 9.982859e-01
## 2735           Czech Republic            L          Low 7.313278e-01
## 2736                    Spain            L          Low 3.166018e-01
## 2737            United States            M         High 9.561671e-01
## 2738            United States            M          Low 9.903533e-01
## 2739            United States            M          Low 9.591364e-01
## 2740            United States            M          Low 6.872549e-01
## 2741            United States            M         High 9.997773e-01
## 2742            United States            M          Low 9.961307e-01
## 2743            United States            M          Low 9.868191e-01
## 2744            United States            M          Low 7.258059e-01
## 2745            United States            M          Low 7.845206e-01
## 2746            United States            M          Low 7.005497e-01
## 2747           United Kingdom            M          Low 9.540655e-02
## 2748           United Kingdom            M          Low 1.732619e-01
## 2749            United States            M         High 4.403236e-02
## 2750            United States            M         High 8.671405e-01
## 2751            United States            M         High 9.930114e-01
## 2752            United States            M          Low 9.410453e-01
## 2753            United States            M          Low 9.591364e-01
## 2754            United States            M          Low 6.872549e-01
## 2755            United States            M         High 9.940326e-01
## 2756            United States            M          Low 9.912530e-01
## 2757            United States            M         High 7.007051e-01
## 2758            United States            M          Low 9.985257e-01
## 2759            United States            M         High 9.999765e-01
## 2760            United States            M          Low 9.987416e-01
## 2761            United States            M         High 6.962903e-01
## 2762            United States            M         High 9.981643e-01
## 2763            United States            M         High 8.913819e-01
## 2764            United States            M         High 9.999765e-01
## 2765            United States            M         High 9.180998e-01
## 2766            United States            M         High 9.989095e-01
## 2767            United States            M         High 9.998923e-01
## 2768            United States            M          Low 7.603168e-01
## 2769            United States            M         High 9.989095e-01
## 2770            United States            M         High 9.997773e-01
## 2771            United States            M         High 5.738157e-01
## 2772            United States            M          Low 9.972972e-01
## 2773            United States            M         High 4.493179e-02
## 2774            United States            M         High 3.116710e-01
## 2775            United States            M          Low 9.723657e-01
## 2776            United States            M          Low 8.883857e-01
## 2777            United States            M         High 8.639376e-01
## 2778            United States            M          Low 9.993481e-01
## 2779            United States            M         High 6.604326e-01
## 2780            United States            M         High 9.736875e-01
## 2781            United States            M         High 9.971324e-01
## 2782            United States            M          Low 9.912530e-01
## 2783            United States            M         High 9.930114e-01
## 2784            United States            M          Low 8.297805e-01
## 2785            United States            M         High 5.741659e-02
## 2786            United States            M         High 9.601747e-01
## 2787            United States            M         High 9.997773e-01
## 2788            United States            M          Low 9.912530e-01
## 2789            United States            M         High 9.918818e-01
## 2790            United States            M          Low 9.723657e-01
## 2791            United States            M         High 8.263115e-01
## 2792            United States            M          Low 9.968132e-01
## 2793            United States            M         High 9.903103e-01
## 2794            United States            M          Low 9.531247e-01
## 2795            United States            M          Low 9.968132e-01
## 2796            United States            M          Low 9.104205e-01
## 2797            United States            M         High 9.180998e-01
## 2798            United States            M          Low 9.993040e-01
## 2799            United States            M         High 9.561671e-01
## 2800            United States            M          Low 9.903533e-01
## 2801            United States            M         High 9.224746e-01
## 2802            United States            M         High 9.999560e-01
## 2803            United States            M         High 9.407075e-01
## 2804            United States            M          Low 9.723657e-01
## 2805            United States            M         High 5.682427e-01
## 2806            United States            M         High 9.995510e-01
## 2807            United States            M         High 8.116011e-01
## 2808            United States            M         High 9.918818e-01
## 2809            United States            M         High 9.210312e-01
## 2810            United States            M          Low 9.937116e-01
## 2811            United States            M         High 8.639376e-01
## 2812            United States            M          Low 9.993481e-01
## 2813            United States            M         High 9.861891e-01
## 2814            United States            M          Low 9.953574e-01
## 2815                    Spain            L          Low 3.595247e-01
## 2816            United States            M         High 9.999621e-01
## 2817            United States            M         High 9.997461e-01
## 2818            United States            M          Low 7.884590e-01
## 2819            United States            M          Low 9.591364e-01
## 2820            United States            M          Low 6.872549e-01
## 2821                  Estonia            M          Low 4.636060e-01
## 2822                  Estonia            M          Low 3.595247e-01
## 2823            United States            M         High 8.913819e-01
## 2824            United States            M         High 9.989095e-01
## 2825            United States            M          Low 6.328763e-01
## 2826            United States            M          Low 4.402573e-01
## 2827            United States            M         High 3.411103e-01
## 2828            United States            M         High 9.801522e-01
## 2829            United States            M         High 7.311002e-01
## 2830            United States            M          Low 9.605059e-01
## 2831            United States            M         High 4.762059e-01
## 2832            United States            M         High 9.407075e-01
## 2833                    Spain            M          Low 5.456588e-01
## 2834            United States            M         High 2.118403e-01
## 2835            United States            M         High 9.999333e-01
## 2836            United States            M         High 5.587770e-02
## 2837            United States            M         High 9.991890e-01
## 2838            United States            M         High 8.639376e-01
## 2839            United States            M          Low 9.993481e-01
## 2840            United States            M         High 9.718308e-02
## 2841            United States            M          Low 9.993040e-01
## 2842            United States            M         High 5.007853e-01
## 2843            United States            M          Low 9.986366e-01
## 2844            United States            M          Low 8.573037e-01
## 2845            United States            M          Low 7.436734e-01
## 2846            United States            M          Low 9.918609e-01
## 2847            United States            M          Low 9.426696e-01
## 2848            United States            M         High 8.024541e-01
## 2849            United States            M          Low 9.021016e-01
## 2850            United States            M         High 8.913819e-01
## 2851            United States            M          Low 9.987416e-01
## 2852            United States            M         High 6.909709e-01
## 2853            United States            M          Low 9.987753e-01
## 2854            United States            M         High 7.051030e-01
## 2855            United States            M         High 9.996765e-01
## 2856            United States            M         High 4.762059e-01
## 2857            United States            M         High 9.825796e-01
## 2858            United States            S          Low 7.436734e-01
## 2859            United States            M         High 6.293615e-01
## 2860            United States            M         High 9.998054e-01
## 2861            United States            M         High 4.943859e-01
## 2862            United States            M         High 9.999694e-01
## 2863            United States            M         High 9.996699e-01
## 2864            United States            M          Low 9.702433e-01
## 2865            United States            M          Low 9.591364e-01
## 2866            United States            M          Low 6.872549e-01
## 2867            United States            M         High 9.591944e-01
## 2868            United States            M          Low 9.730091e-01
## 2869            United States            M         High 7.806945e-01
## 2870            United States            M         High 9.624061e-01
## 2871            United States            M         High 1.315857e-01
## 2872            United States            M         High 8.913819e-01
## 2873            United States            M         High 6.604326e-01
## 2874            United States            M         High 9.130823e-01
## 2875            United States            M         High 9.321614e-01
## 2876            United States            M         High 9.971324e-01
## 2877            United States            M         High 7.051030e-01
## 2878            United States            M         High 9.999458e-01
## 2879            United States            M         High 9.321614e-01
## 2880            United States            M         High 9.971324e-01
## 2881            United States            M          Low 9.591364e-01
## 2882            United States            M          Low 6.872549e-01
## 2883                  Germany            L          Low 5.456588e-01
## 2884            United States            M         High 9.989095e-01
## 2885            United States            M          Low 9.987416e-01
## 2886            United States            L          Low 9.984296e-01
## 2887            United States            L          Low 7.640240e-01
## 2888            United States            M         High 8.639376e-01
## 2889            United States            M          Low 9.993481e-01
## 2890            United States            M          Low 7.845206e-01
## 2891            United States            M          Low 6.098248e-01
## 2892            United States            M          Low 9.983686e-01
## 2893            United States            M          Low 7.900263e-01
## 2894            United States            M         High 4.934731e-01
## 2895            United States            M         High 9.998534e-01
## 2896            United States            M         High 8.913819e-01
## 2897            United States            M         High 9.997773e-01
## 2898            United States            M         High 6.604326e-01
## 2899            United States            M         High 9.624061e-01
## 2900            United States            M         High 3.124277e-01
## 2901            United States            M         High 9.952895e-01
## 2902            United States            M         High 1.518685e-01
## 2903            United States            M         High 9.963571e-01
## 2904            United States            M         High 6.909709e-01
## 2905            United States            M          Low 9.987753e-01
## 2906            United States            M         High 6.146101e-01
## 2907            United States            M          Low 9.961307e-01
## 2908            United States            M          Low 9.385592e-01
## 2909            United States            M          Low 7.005497e-01
## 2910            United States            M         High 9.736875e-01
## 2911            United States            M         High 9.996609e-01
## 2912           United Kingdom            M          Low 2.925333e-01
## 2913           United Kingdom            M          Low 2.871634e-01
## 2914            United States            M          Low 6.098248e-01
## 2915            United States            M          Low 5.171519e-01
## 2916            United States            M         High 9.986900e-01
## 2917            United States            M          Low 9.912530e-01
## 2918                   Brazil            L          Low 4.431387e-40
## 2919            United States            M         High 9.930114e-01
## 2920            United States            M          Low 9.410453e-01
## 2921            United States            M         High 7.007051e-01
## 2922            United States            M          Low 9.985257e-01
## 2923            United States            M         High 1.145419e-01
## 2924            United States            M         High 9.865210e-01
## 2925            United States            M         High 9.331999e-01
## 2926            United States            M          Low 9.956198e-01
## 2927            United States            M         High 9.877971e-01
## 2928            United States            M         High 9.989095e-01
## 2929            United States            M         High 4.022819e-01
## 2930            United States            M         High 9.999330e-01
## 2931            United States            M          Low 9.961307e-01
## 2932            United States            M          Low 6.557318e-01
## 2933            United States            M         High 9.940326e-01
## 2934            United States            M          Low 9.912530e-01
## 2935            United States            M         High 9.998736e-01
## 2936            United States            M          Low 9.637761e-01
## 2937            United States            M         High 6.900821e-01
## 2938            United States            M          Low 9.947591e-01
## 2939            United States            M         High 7.041363e-03
## 2940            United States            M         High 5.219219e-01
## 2941            United States            M         High 8.373464e-01
## 2942            United States            M         High 9.999683e-01
## 2943            United States            M          Low 9.450567e-01
## 2944            United States            M          Low 6.738238e-01
## 2945            United States            M         High 1.206142e-02
## 2946            United States            M         High 1.519159e-01
## 2947                   Canada            L          Low 8.225543e-01
## 2948            United States            M          Low 8.225543e-01
## 2949            United States            M          Low 7.765599e-01
## 2950                   France            M          Low 9.385592e-01
## 2951                   France            M          Low 8.225543e-01
## 2952            United States            M          Low 9.385592e-01
## 2953            United States            M          Low 6.557318e-01
## 2954                    Spain            M          Low 4.304619e-01
## 2955                    Spain            M          Low 3.595247e-01
## 2956            United States            M          Low 8.225543e-01
## 2957            United States            M          Low 7.005497e-01
## 2958            United States            M         High 4.492811e-01
## 2959            United States            M         High 9.981643e-01
## 2960                   Canada            M          Low 9.574692e-01
## 2961                   Canada            M          Low 7.845206e-01
## 2962            United States            M         High 9.971324e-01
## 2963            United States            M          Low 9.912530e-01
## 2964            United States            M         High 1.206142e-02
## 2965            United States            M         High 1.519159e-01
## 2966            United States            M         High 9.998534e-01
## 2967            United States            M          Low 9.886752e-01
## 2968            United States            M          Low 9.869807e-01
## 2969            United States            M          Low 8.573037e-01
## 2970            United States            M          Low 8.546542e-01
## 2971            United States            M          Low 7.923686e-01
## 2972                   Brazil            M          Low 6.738238e-01
## 2973                   Brazil            M          Low 5.634352e-01
## 2974            United States            M          Low 9.968132e-01
## 2975            United States            M          Low 9.104205e-01
## 2976            United States            M         High 5.741659e-02
## 2977            United States            M         High 9.601747e-01
## 2978            United States            M         High 9.999765e-01
## 2979            United States            M          Low 8.973416e-01
## 2980            United States            M         High 4.989552e-01
## 2981            United States            M         High 9.889925e-01
## 2982            United States            M         High 8.981635e-01
## 2983            United States            M          Low 9.786036e-01
## 2984            United States            M         High 9.867665e-01
## 2985            United States            M          Low 9.536594e-01
## 2986            United States            M         High 9.591944e-01
## 2987            United States            M          Low 9.853060e-01
## 2988            United States            M          Low 9.985634e-01
## 2989            United States            M          Low 9.385592e-01
## 2990            United States            M         High 9.989095e-01
## 2991            United States            M          Low 9.912530e-01
## 2992            United States            M         High 2.386533e-01
## 2993            United States            M         High 8.913819e-01
## 2994           United Kingdom            M          Low 5.608233e-02
## 2995           United Kingdom            M          Low 2.502084e-01
## 2996            United States            M         High 4.934731e-01
## 2997            United States            M         High 9.998534e-01
## 2998            United States            M         High 7.480174e-01
## 2999            United States            M         High 9.844512e-01
## 3000            United States            M         High 9.844512e-01
## 3001            United States            M         High 9.999765e-01
## 3002            United States            M         High 9.997773e-01
## 3003            United States            M          Low 9.912530e-01
## 3004            United States            M          Low 9.591364e-01
## 3005            United States            M          Low 6.872549e-01
## 3006            United States            M         High 9.999765e-01
## 3007            United States            M          Low 9.961307e-01
## 3008            United States            M         High 9.999765e-01
## 3009            United States            M          Low 7.845206e-01
## 3010            United States            M         High 8.263115e-01
## 3011            United States            M         High 9.918818e-01
## 3012            United States            M         High 9.989095e-01
## 3013            United States            M          Low 9.298415e-01
## 3014                   Brazil            M          Low 9.574692e-01
## 3015                   Brazil            M          Low 9.385592e-01
## 3016            United States            M         High 7.480174e-01
## 3017            United States            M         High 9.591944e-01
## 3018            United States            M         High 9.669269e-01
## 3019            United States            M          Low 9.961307e-01
## 3020            United States            M         High 8.369956e-01
## 3021            United States            M         High 9.964950e-01
## 3022            United States            M          Low 3.433524e-01
## 3023            United States            M         High 9.998604e-01
## 3024            United States            M          Low 8.506363e-01
## 3025            United States            M         High 7.051030e-01
## 3026            United States            M         High 9.996765e-01
## 3027                    Qatar            M         High 1.315857e-01
## 3028            United States            M          Low 8.297805e-01
## 3029            United States            M          Low 7.923686e-01
## 3030            United States            M         High 8.574199e-01
## 3031            United States            M          Low 9.940155e-01
## 3032            United States            M          Low 9.591364e-01
## 3033            United States            M          Low 6.872549e-01
## 3034            United States            L         High 9.736875e-01
## 3035            United States            M         High 8.639376e-01
## 3036            United States            M          Low 9.993481e-01
## 3037            United States            M          Low 8.748730e-01
## 3038            United States            M          Low 7.005497e-01
## 3039            United States            M         High 4.493700e-01
## 3040            United States            M         High 9.980884e-01
## 3041            United States            M         High 7.806945e-01
## 3042            United States            M         High 9.624061e-01
## 3043            United States            M         High 9.918818e-01
## 3044            United States            M          Low 9.723657e-01
## 3045            United States            M          Low 9.946697e-01
## 3046            United States            M          Low 7.765599e-01
## 3047            United States            M          Low 7.005497e-01
## 3048            United States            M          Low 6.328763e-01
## 3049                   Canada            M          Low 2.007518e-01
## 3050                   Canada            M          Low 2.833853e-01
## 3051            United States            M         High 1.315857e-01
## 3052            United States            M         High 9.989095e-01
## 3053            United States            M          Low 9.993040e-01
## 3054            United States            M          Low 9.885274e-01
## 3055            United States            M         High 9.989095e-01
## 3056            United States            M          Low 9.987416e-01
## 3057            United States            M         High 3.474816e-01
## 3058            United States            M         High 9.999365e-01
## 3059            United States            M          Low 9.995051e-01
## 3060            United States            M          Low 9.857829e-01
## 3061            United States            M         High 6.604326e-01
## 3062            United States            M         High 9.999365e-01
## 3063            United States            M         High 7.094833e-01
## 3064            United States            M          Low 9.868191e-01
## 3065            United States            M          Low 9.591364e-01
## 3066            United States            M          Low 6.872549e-01
## 3067            United States            M         High 9.997773e-01
## 3068            United States            M          Low 9.574692e-01
## 3069            United States            M         High 6.811609e-01
## 3070            United States            M         High 9.998372e-01
## 3071            United States            M          Low 9.987416e-01
## 3072            United States            M          Low 9.853060e-01
## 3073            United States            M         High 9.964950e-01
## 3074            United States            M          Low 9.869807e-01
## 3075            United States            M         High 8.334683e-01
## 3076            United States            M          Low 9.485261e-01
## 3077            United States            M          Low 9.987416e-01
## 3078            United States            M          Low 9.385592e-01
## 3079            United States            M         High 9.561671e-01
## 3080            United States            M          Low 9.903533e-01
## 3081            United States            M         High 7.041363e-03
## 3082            United States            M         High 1.315857e-01
## 3083            United States            M          Low 9.968132e-01
## 3084            United States            M          Low 9.104205e-01
## 3085            United States            M         High 7.963854e-01
## 3086            United States            M         High 9.998923e-01
## 3087            United States            M         High 8.606973e-01
## 3088            United States            M         High 9.995082e-01
## 3089            United States            M         High 4.316046e-01
## 3090            United States            M         High 9.784212e-01
## 3091            United States            M         High 9.998241e-01
## 3092            United States            M          Low 9.355101e-01
## 3093            United States            M         High 9.447325e-01
## 3094            United States            M          Low 9.974100e-01
## 3095            United States            M          Low 9.723657e-01
## 3096            United States            M          Low 9.385592e-01
## 3097            United States            M         High 8.639376e-01
## 3098            United States            M          Low 9.993481e-01
## 3099            United States            M          Low 8.883857e-01
## 3100            United States            M          Low 7.005497e-01
## 3101            United States            M         High 9.697458e-01
## 3102            United States            M          Low 9.473844e-01
## 3103           United Kingdom            M          Low 2.925333e-01
## 3104           United Kingdom            M          Low 2.871634e-01
## 3105                   Canada            M         High 9.912749e-01
## 3106                   Canada            M          Low 9.685171e-01
## 3107            United States            M          Low 9.912530e-01
## 3108            United States            M          Low 8.883857e-01
## 3109              Netherlands            L          Low 8.074066e-01
## 3110                 Portugal            M          Low 2.637450e-01
## 3111            United States            M         High 9.889925e-01
## 3112            United States            M          Low 9.926645e-01
## 3113            United States            M         High 9.998616e-01
## 3114            United States            M          Low 9.928023e-01
## 3115            United States            M          Low 9.402232e-01
## 3116            United States            M          Low 6.374655e-01
## 3117            United States            M          Low 9.591364e-01
## 3118            United States            M          Low 6.872549e-01
## 3119            United States            M          Low 9.987416e-01
## 3120            United States            M          Low 8.883857e-01
## 3121            United States            M         High 9.321614e-01
## 3122            United States            M          Low 9.980393e-01
## 3123            United States            M         High 7.051030e-01
## 3124            United States            M         High 9.407075e-01
## 3125            United States            M         High 8.439461e-01
## 3126            United States            M         High 9.879509e-01
## 3127            United States            M          Low 9.961307e-01
## 3128            United States            M          Low 6.557318e-01
## 3129            United States            M         High 4.404131e-01
## 3130            United States            M         High 9.591944e-01
## 3131            United States            M         High 9.981643e-01
## 3132            United States            M          Low 9.426696e-01
## 3133            United States            M         High 7.051030e-01
## 3134            United States            M         High 9.996765e-01
## 3135            United States            M         High 9.999206e-01
## 3136            United States            M          Low 8.276267e-01
## 3137            United States            M          Low 8.225543e-01
## 3138            United States            M          Low 6.557318e-01
## 3139            United States            M         High 9.936368e-01
## 3140            United States            M          Low 9.165238e-01
## 3141            United States            M         High 5.960948e-01
## 3142            United States            M         High 9.917483e-01
## 3143                    Italy            S          Low 2.700514e-01
## 3144              Netherlands            M          Low 7.102414e-01
## 3145            United States            M         High 9.998241e-01
## 3146            United States            M          Low 9.912530e-01
## 3147            United States            M          Low 9.155231e-01
## 3148            United States            M          Low 6.557318e-01
## 3149            United States            M          Low 9.987416e-01
## 3150            United States            M          Low 9.723657e-01
## 3151                   Canada            M          Low 9.574692e-01
## 3152                   Canada            M          Low 7.845206e-01
## 3153            United States            M         High 3.885688e-01
## 3154            United States            M         High 6.238375e-01
## 3155            United States            M         High 8.639376e-01
## 3156            United States            M          Low 9.993481e-01
## 3157            United States            M         High 4.403236e-02
## 3158            United States            M         High 8.671405e-01
## 3159            United States            M         High 9.736875e-01
## 3160            United States            M         High 9.964950e-01
## 3161            United States            M         High 9.561671e-01
## 3162            United States            M         High 9.946766e-01
## 3163            United States            M          Low 8.546542e-01
## 3164            United States            M          Low 7.923686e-01
## 3165            United States            M         High 1.434988e-01
## 3166            United States            M         High 9.014675e-01
## 3167            United States            M         High 9.949503e-01
## 3168            United States            M         High 9.999765e-01
## 3169            United States            M          Low 9.748831e-01
## 3170            United States            M          Low 8.973416e-01
## 3171            United States            M         High 9.844512e-01
## 3172            United States            M          Low 9.834994e-01
## 3173            United States            M         High 5.373836e-02
## 3174            United States            M         High 9.906392e-01
## 3175            United States            M         High 9.736875e-01
## 3176            United States            M          Low 9.974100e-01
## 3177            United States            M         High 3.474816e-01
## 3178            United States            M         High 9.892790e-01
## 3179            United States            M         High 9.997469e-01
## 3180            United States            M          Low 9.239143e-01
## 3181           United Kingdom            M         High 9.986429e-01
## 3182           United Kingdom            M          Low 9.937197e-01
## 3183            United States            M          Low 9.944879e-01
## 3184            United States            M          Low 9.503962e-01
## 3185            United States            M          Low 9.155231e-01
## 3186            United States            M          Low 7.005497e-01
## 3187            United States            M         High 8.376969e-01
## 3188            United States            M          Low 9.983686e-01
## 3189            United States            M         High 9.994993e-01
## 3190            United States            M          Low 9.137558e-01
## 3191            United States            L         High 5.635990e-01
## 3192            United States            L          Low 9.809475e-01
## 3193            United States            L         High 8.567600e-01
## 3194            United States            L          Low 9.189970e-01
## 3195            United States            L          Low 7.266652e-01
## 3196            United States            M          Low 9.748831e-01
## 3197            United States            M          Low 7.266652e-01
## 3198            United States            M          Low 7.892432e-01
## 3199            United States            M          Low 4.617657e-01
## 3200            United States            M          Low 7.266652e-01
## 3201            United States            M          Low 6.374655e-01
## 3202                    Spain            M          Low 4.659583e-01
## 3203                    Spain            M          Low 4.052505e-01
## 3204            United States            M         High 2.688342e-01
## 3205            United States            M         High 8.541058e-01
## 3206            United States            L         High 8.746729e-01
## 3207            United States            L          Low 9.119685e-01
## 3208                    Italy            M          Low 4.870035e-01
## 3209                    Italy            M          Low 4.246943e-01
## 3210            United States            M         High 9.998923e-01
## 3211            United States            M          Low 8.997256e-01
## 3212            United States            M          Low 9.987416e-01
## 3213            United States            M          Low 8.883857e-01
## 3214            United States            M          Low 8.297805e-01
## 3215            United States            M          Low 7.923686e-01
## 3216            United States            M         High 6.784732e-01
## 3217            United States            M          Low 9.968132e-01
## 3218            United States            M         High 9.736875e-01
## 3219            United States            M          Low 9.987416e-01
## 3220            United States            M         High 9.844512e-01
## 3221            United States            M         High 9.998241e-01
## 3222                   Russia            M          Low 2.127514e-01
## 3223            United States            M         High 8.431815e-01
## 3224            United States            M          Low 9.883424e-01
## 3225            United States            M          Low 9.426696e-01
## 3226            United States            M          Low 9.104205e-01
## 3227            United States            M          Low 9.885274e-01
## 3228            United States            M          Low 7.561921e-01
## 3229           United Kingdom            M          Low 2.833853e-01
## 3230           United Kingdom            M          Low 2.871634e-01
## 3231            United States            M          Low 8.748730e-01
## 3232            United States            M          Low 7.005497e-01
## 3233            United States            M         High 5.868166e-01
## 3234            United States            M         High 9.825796e-01
## 3235                   Canada            M         High 9.321614e-01
## 3236                   Canada            M          Low 8.368718e-01
## 3237            United States            M         High 9.180998e-01
## 3238            United States            M          Low 9.834994e-01
## 3239            United States            M         High 8.639376e-01
## 3240            United States            M          Low 9.993481e-01
## 3241            United States            M          Low 9.941120e-01
## 3242            United States            M          Low 7.561921e-01
## 3243            United States            M         High 8.771347e-01
## 3244            United States            M         High 9.999247e-01
## 3245            United States            M         High 9.844512e-01
## 3246            United States            M          Low 9.961307e-01
## 3247            United States            M         High 5.868166e-01
## 3248            United States            M         High 9.825796e-01
## 3249            United States            M         High 5.775310e-01
## 3250            United States            M          Low 9.968132e-01
## 3251            United States            M          Low 5.079575e-01
## 3252            United States            M          Low 3.513513e-01
## 3253            United States            M         High 9.825796e-01
## 3254            United States            M          Low 9.689229e-01
## 3255            United States            M         High 8.639376e-01
## 3256            United States            M          Low 9.983276e-01
## 3257            United States            M          Low 9.987416e-01
## 3258            United States            M          Low 8.573037e-01
## 3259            United States            M         High 5.682427e-01
## 3260            United States            M         High 9.995910e-01
## 3261            United States            M         High 9.964950e-01
## 3262            United States            M          Low 9.968132e-01
## 3263            United States            M         High 6.604326e-01
## 3264            United States            M         High 9.130823e-01
## 3265            United States            M         High 2.916201e-01
## 3266            United States            M         High 7.242367e-01
## 3267            United States            M         High 9.945041e-01
## 3268            United States            M          Low 9.228683e-01
## 3269            United States            M         High 9.881792e-01
## 3270            United States            M          Low 7.644164e-01
## 3271            United States            L         High 9.960706e-01
## 3272            United States            L          Low 6.172180e-01
## 3273            United States            M         High 9.321614e-01
## 3274            United States            M         High 9.971324e-01
## 3275            United States            M         High 9.997773e-01
## 3276            United States            M          Low 9.912530e-01
## 3277            United States            M         High 6.909709e-01
## 3278            United States            M          Low 9.987753e-01
## 3279            United States            M         High 9.561671e-01
## 3280            United States            M          Low 9.903533e-01
## 3281            United States            M         High 4.118738e-02
## 3282            United States            M         High 3.260623e-01
## 3283                   Canada            M         High 2.322482e-01
## 3284                   Canada            M         High 9.710976e-01
## 3285            United States            M         High 8.431815e-01
## 3286            United States            M          Low 9.883424e-01
## 3287            United States            M         High 7.051030e-01
## 3288            United States            M         High 9.940326e-01
## 3289            United States            M         High 2.347969e-01
## 3290            United States            M         High 9.992852e-01
## 3291            United States            M         High 8.913819e-01
## 3292            United States            M          Low 9.987416e-01
## 3293            United States            M         High 2.150259e-01
## 3294            United States            M         High 7.601328e-01
## 3295            United States            M         High 9.772926e-01
## 3296            United States            M          Low 8.883857e-01
## 3297            United States            M         High 5.741659e-02
## 3298            United States            M         High 9.601747e-01
## 3299            United States            M         High 4.934731e-01
## 3300            United States            M         High 9.998534e-01
## 3301           United Kingdom            M          Low 5.608233e-02
## 3302           United Kingdom            M          Low 1.195016e-01
## 3303            United States            M         High 9.591944e-01
## 3304            United States            M          Low 9.977797e-01
## 3305            United States            M         High 8.574199e-01
## 3306            United States            M          Low 9.940155e-01
## 3307            United States            M          Low 6.107496e-01
## 3308            United States            M          Low 4.239256e-01
## 3309            United States            M         High 9.697458e-01
## 3310            United States            M          Low 9.473844e-01
## 3311            United States            M         High 9.321614e-01
## 3312            United States            M         High 9.971324e-01
## 3313            United States            M         High 9.985699e-01
## 3314            United States            M          Low 9.794758e-01
## 3315            United States            M         High 5.007853e-01
## 3316            United States            M          Low 9.986366e-01
## 3317            United States            M         High 9.997773e-01
## 3318            United States            M          Low 9.204611e-01
## 3319                   Canada            M         High 8.913819e-01
## 3320                   Canada            M         High 9.989095e-01
## 3321            United States            M         High 8.632925e-01
## 3322            United States            M          Low 9.861596e-01
## 3323            United States            M         High 2.471449e-01
## 3324            United States            M         High 9.991111e-01
## 3325            United States            M         High 9.736875e-01
## 3326            United States            M          Low 9.987416e-01
## 3327            United States            M         High 5.868166e-01
## 3328            United States            M         High 9.825796e-01
## 3329            United States            M          Low 9.834994e-01
## 3330            United States            M          Low 6.098248e-01
## 3331            United States            M         High 6.604326e-01
## 3332            United States            M         High 9.844512e-01
## 3333            United States            M          Low 9.912530e-01
## 3334            United States            M          Low 8.883857e-01
## 3335            United States            M         High 4.493700e-01
## 3336            United States            M         High 9.980884e-01
## 3337                   Canada            M         High 9.654592e-01
## 3338                   Canada            M          Low 9.772522e-01
## 3339            United States            M         High 4.492811e-01
## 3340            United States            M         High 9.892221e-01
## 3341            United States            M         High 9.295153e-02
## 3342            United States            M         High 5.767879e-01
## 3343            United States            M          Low 7.845206e-01
## 3344            United States            M          Low 6.557318e-01
## 3345            United States            M          Low 9.961307e-01
## 3346            United States            M          Low 9.834994e-01
## 3347            United States            M         High 4.492811e-01
## 3348            United States            M         High 9.892221e-01
## 3349            United States            M          Low 9.961307e-01
## 3350            United States            M          Low 9.298415e-01
## 3351            United States            M         High 7.007051e-01
## 3352            United States            M          Low 9.985257e-01
## 3353            United States            L          Low 7.233458e-01
## 3354                    Kenya            S          Low 4.715285e-01
## 3355            United States            M         High 6.798177e-01
## 3356            United States            M         High 9.724114e-01
## 3357            United States            M          Low 8.225543e-01
## 3358            United States            M          Low 6.557318e-01
## 3359            United States            M         High 8.970492e-01
## 3360            United States            M         High 9.991890e-01
## 3361            United States            M         High 1.856827e-02
## 3362            United States            M          Low 7.436734e-01
## 3363           United Kingdom            M         High 5.682427e-01
## 3364           United Kingdom            M         High 9.989095e-01
## 3365            United States            M         High 9.997773e-01
## 3366            United States            M          Low 9.574692e-01
## 3367            United States            M          Low 9.275585e-01
## 3368            United States            M          Low 8.686161e-01
## 3369            United States            M         High 9.861891e-01
## 3370            United States            M          Low 9.104205e-01
## 3371            United States            M         High 2.702265e-01
## 3372            United States            M         High 9.639523e-01
## 3373            United States            M         High 4.762059e-01
## 3374            United States            M         High 7.051030e-01
## 3375            United States            M         High 9.855958e-01
## 3376            United States            M          Low 9.866561e-01
## 3377            United States            M         High 2.133991e-01
## 3378            United States            M         High 9.239031e-01
## 3379            United States            M         High 1.315857e-01
## 3380            United States            M         High 8.913819e-01
## 3381            United States            M         High 6.331394e-01
## 3382            United States            M          Low 9.987416e-01
## 3383            United States            M          Low 7.845206e-01
## 3384            United States            M         High 8.639376e-01
## 3385            United States            M          Low 9.993481e-01
## 3386            United States            M         High 9.999206e-01
## 3387            United States            M          Low 8.276267e-01
## 3388            United States            M          Low 9.987416e-01
## 3389            United States            M          Low 8.573037e-01
## 3390            United States            M         High 8.639376e-01
## 3391            United States            M          Low 9.983276e-01
## 3392            United States            M         High 9.936368e-01
## 3393            United States            M          Low 9.165238e-01
## 3394            United States            M         High 8.574199e-01
## 3395            United States            M          Low 9.940155e-01
## 3396            United States            M         High 9.999206e-01
## 3397            United States            M          Low 8.276267e-01
## 3398            United States            M         High 4.989552e-01
## 3399            United States            M         High 9.889925e-01
## 3400            United States            M         High 9.321614e-01
## 3401            United States            M          Low 9.980393e-01
## 3402            United States            M         High 9.936368e-01
## 3403            United States            M          Low 9.165238e-01
## 3404            United States            M         High 9.999764e-01
## 3405            United States            M          Low 9.630056e-01
## 3406            United States            M         High 9.736875e-01
## 3407            United States            M         High 9.981643e-01
## 3408            United States            M         High 6.909709e-01
## 3409            United States            M          Low 9.987753e-01
## 3410            United States            M         High 9.999206e-01
## 3411            United States            M          Low 8.276267e-01
## 3412            United States            M         High 9.844512e-01
## 3413            United States            M          Low 9.723657e-01
## 3414            United States            M         High 9.999206e-01
## 3415            United States            M          Low 8.276267e-01
## 3416            United States            M         High 9.936368e-01
## 3417            United States            M          Low 9.165238e-01
## 3418            United States            M          Low 9.834994e-01
## 3419            United States            M          Low 8.883857e-01
## 3420            United States            M         High 8.981635e-01
## 3421            United States            M          Low 9.165238e-01
## 3422            United States            M          Low 9.591364e-01
## 3423            United States            M          Low 6.872549e-01
## 3424           United Kingdom            M         High 9.999762e-01
## 3425           United Kingdom            M          Low 9.736431e-01
## 3426            United States            M         High 9.654592e-01
## 3427            United States            M          Low 9.987416e-01
## 3428            United States            M         High 9.945041e-01
## 3429            United States            M          Low 9.228683e-01
## 3430            United States            M         High 9.844512e-01
## 3431            United States            M          Low 9.834994e-01
## 3432                   Canada            M         High 5.775310e-01
## 3433                   Canada            M         High 9.999694e-01
## 3434            United States            M          Low 9.885274e-01
## 3435            United States            M          Low 7.561921e-01
## 3436            United States            M         High 9.591944e-01
## 3437            United States            M          Low 9.772522e-01
## 3438            United States            L         High 8.746729e-01
## 3439            United States            L          Low 9.119685e-01
## 3440            United States            M         High 9.697458e-01
## 3441            United States            M          Low 9.869807e-01
## 3442            United States            M         High 9.558226e-01
## 3443            United States            M          Low 9.979266e-01
## 3444            United States            M         High 9.591944e-01
## 3445            United States            M          Low 9.772522e-01
## 3446            United States            M         High 9.130823e-01
## 3447            United States            M          Low 9.994304e-01
## 3448            United States            M         High 8.606973e-01
## 3449            United States            M         High 9.999765e-01
## 3450                   Canada            M          Low 9.987416e-01
## 3451                   Canada            M          Low 9.466151e-01
## 3452            United States            M          Low 9.983686e-01
## 3453            United States            M          Low 7.900263e-01
## 3454                   Russia            L          Low 3.513513e-01
## 3455            United States            M          Low 9.912530e-01
## 3456            United States            M          Low 8.317086e-01
## 3457            United States            M         High 6.909709e-01
## 3458            United States            M          Low 9.987753e-01
## 3459            United States            M         High 7.051030e-01
## 3460            United States            M         High 9.996765e-01
## 3461            United States            L         High 7.293893e-01
## 3462            United States            L          Low 9.968132e-01
## 3463            United States            M         High 9.736875e-01
## 3464            United States            M         High 9.964950e-01
## 3465            United States            M         High 5.035332e-01
## 3466            United States            M          Low 9.681363e-01
## 3467            United States            M         High 9.997773e-01
## 3468            United States            M          Low 9.912530e-01
## 3469            United States            M         High 8.639376e-01
## 3470            United States            M          Low 9.983276e-01
## 3471            United States            M         High 1.434988e-01
## 3472            United States            M         High 9.014675e-01
## 3473            United States            M         High 9.889925e-01
## 3474            United States            M          Low 9.926645e-01
## 3475           United Kingdom            M          Low 9.540655e-02
## 3476           United Kingdom            M          Low 2.007518e-01
## 3477            United States            M         High 8.639376e-01
## 3478            United States            M          Low 9.983276e-01
## 3479            United States            M          Low 8.039204e-01
## 3480            United States            M          Low 5.866529e-01
## 3481                   Canada            M         High 5.311549e-01
## 3482                   Canada            M         High 9.995910e-01
## 3483            United States            M         High 9.994993e-01
## 3484            United States            M          Low 9.137558e-01
## 3485            United States            M          Low 9.968132e-01
## 3486            United States            M          Low 8.269060e-01
## 3487           United Kingdom            M          Low 2.925333e-01
## 3488           United Kingdom            M          Low 2.871634e-01
## 3489                    India            L         High 9.989095e-01
## 3490                    Spain            M          Low 6.905763e-01
## 3491            United States            M          Low 9.732639e-01
## 3492            United States            M          Low 6.952492e-01
## 3493                   Canada            M         High 2.322482e-01
## 3494                   Canada            M         High 9.710976e-01
## 3495            United States            M         High 2.347969e-01
## 3496            United States            M         High 9.992852e-01
## 3497            United States            M         High 7.759504e-02
## 3498            United States            M         High 8.248640e-01
## 3499            United States            M         High 9.805707e-01
## 3500            United States            M          Low 9.385592e-01
## 3501            United States            L         High 9.591944e-01
## 3502            United States            L          Low 7.402998e-01
## 3503            United States            M          Low 6.098248e-01
## 3504            United States            M          Low 5.171519e-01
## 3505            United States            M         High 4.762059e-01
## 3506            United States            M         High 9.989095e-01
## 3507            United States            M         High 9.648611e-01
## 3508            United States            M          Low 9.777084e-01
## 3509            United States            M          Low 8.883857e-01
## 3510            United States            M          Low 7.005497e-01
## 3511            United States            M         High 9.591944e-01
## 3512            United States            M         High 9.997773e-01
## 3513            United States            M         High 9.999765e-01
## 3514            United States            M          Low 9.924405e-01
## 3515            United States            M          Low 8.941356e-01
## 3516            United States            M         High 9.918818e-01
## 3517            United States            M          Low 9.912530e-01
## 3518            United States            M         High 9.905740e-01
## 3519            United States            M          Low 9.823505e-01
## 3520            United States            M          Low 9.961307e-01
## 3521            United States            M          Low 9.385592e-01
## 3522            United States            M         High 9.522892e-01
## 3523            United States            M          Low 9.885274e-01
## 3524            United States            M         High 9.805707e-01
## 3525            United States            M          Low 9.385592e-01
## 3526            United States            M          Low 9.979266e-01
## 3527            United States            M          Low 8.368718e-01
## 3528            United States            M         High 8.913819e-01
## 3529            United States            M         High 9.989095e-01
## 3530           United Kingdom            M          Low 9.979266e-01
## 3531           United Kingdom            M          Low 8.368718e-01
## 3532            United States            M          Low 9.987416e-01
## 3533            United States            M          Low 9.723657e-01
## 3534            United States            L         High 5.561715e-01
## 3535            United States            L          Low 9.817575e-01
## 3536            United States            M         High 9.591944e-01
## 3537            United States            M         High 9.999621e-01
## 3538            United States            M          Low 9.979266e-01
## 3539            United States            M          Low 8.368718e-01
## 3540            United States            M         High 1.905311e-01
## 3541            United States            M         High 9.989095e-01
## 3542            United States            M          Low 8.500832e-01
## 3543            United States            M          Low 4.893190e-01
## 3544                  Germany            M          Low 7.313278e-01
## 3545                  Germany            M          Low 6.861464e-01
## 3546            United States            M         High 9.417293e-01
## 3547            United States            M         High 9.997773e-01
## 3548            United States            M         High 7.007051e-01
## 3549            United States            M          Low 9.985257e-01
## 3550            United States            M          Low 9.912530e-01
## 3551            United States            M          Low 8.573037e-01
## 3552            United States            M         High 1.206142e-02
## 3553            United States            M         High 9.295153e-02
## 3554            United States            M         High 4.582049e-01
## 3555            United States            M          Low 9.987416e-01
## 3556                   Canada            L          Low 4.265730e-03
## 3557                   Canada            L          Low 3.292123e-02
## 3558            United States            M         High 4.989552e-01
## 3559            United States            M         High 9.889925e-01
## 3560            United States            M          Low 8.039204e-01
## 3561            United States            M          Low 5.866529e-01
## 3562                   Canada            M         High 9.998604e-01
## 3563                   Canada            M          Low 9.298415e-01
## 3564            United States            M         High 8.639376e-01
## 3565            United States            M          Low 9.993481e-01
## 3566            United States            M          Low 9.979266e-01
## 3567            United States            M          Low 8.368718e-01
## 3568            United States            M         High 2.865437e-01
## 3569            United States            M         High 9.953718e-01
## 3570            United States            M          Low 6.098248e-01
## 3571            United States            M          Low 4.270695e-01
## 3572            United States            M         High 9.736875e-01
## 3573            United States            M         High 9.999765e-01
## 3574            United States            M         High 9.861891e-01
## 3575            United States            M          Low 9.983686e-01
## 3576            United States            L         High 8.055738e-01
## 3577            United States            L          Low 9.817575e-01
## 3578            United States            M         High 4.989552e-01
## 3579            United States            M         High 9.889925e-01
## 3580                   Canada            M         High 9.417293e-01
## 3581                   Canada            M          Low 9.702786e-01
## 3582                   Canada            M         High 9.407075e-01
## 3583                   Canada            M          Low 9.987416e-01
## 3584            United States            M         High 6.710112e-01
## 3585            United States            M         High 9.999634e-01
## 3586            United States            S          Low 9.987416e-01
## 3587           United Kingdom            M         High 9.723752e-01
## 3588           United Kingdom            M          Low 9.312272e-01
## 3589            United States            M         High 7.480174e-01
## 3590            United States            M         High 9.918818e-01
## 3591            United States            M         High 9.930114e-01
## 3592            United States            M          Low 9.410453e-01
## 3593           United Kingdom            M         High 9.723752e-01
## 3594           United Kingdom            M          Low 9.312272e-01
## 3595            United States            M         High 5.007853e-01
## 3596            United States            M          Low 9.986366e-01
## 3597                    Spain            M          Low 6.254531e-01
## 3598                    Spain            M          Low 5.425034e-01
## 3599            United States            M         High 8.574199e-01
## 3600            United States            M          Low 9.940155e-01
## 3601            United States            M          Low 7.005497e-01
## 3602            United States            M          Low 6.098248e-01
## 3603            United States            M          Low 9.748831e-01
## 3604            United States            M          Low 7.266652e-01
## 3605            United States            M         High 9.989095e-01
## 3606            United States            M         High 9.997773e-01
## 3607                    Italy            M          Low 6.133108e-01
## 3608                    Italy            M          Low 5.297248e-01
## 3609                   Canada            M         High 5.868166e-01
## 3610                   Canada            M         High 9.997256e-01
## 3611            United States            M         High 8.639376e-01
## 3612            United States            M          Low 9.983276e-01
## 3613            United States            M         High 8.639376e-01
## 3614            United States            M          Low 9.993481e-01
## 3615            United States            M         High 9.989095e-01
## 3616            United States            M          Low 9.723657e-01
## 3617            United States            M         High 4.404131e-01
## 3618            United States            M         High 8.913819e-01
## 3619            United States            M         High 6.784732e-01
## 3620            United States            M          Low 9.968132e-01
## 3621            United States            M         High 6.302812e-01
## 3622            United States            M         High 9.997790e-01
## 3623                  Denmark            L          Low 5.456588e-01
## 3624            United States            M          Low 8.506363e-01
## 3625            United States            M          Low 7.594938e-01
## 3626            United States            M         High 9.407075e-01
## 3627            United States            M          Low 9.987416e-01
## 3628           United Kingdom            M         High 8.970492e-01
## 3629           United Kingdom            M         High 9.981643e-01
## 3630           United Kingdom            M          Low 1.732619e-01
## 3631           United Kingdom            M          Low 2.694249e-01
## 3632            United States            M         High 8.404883e-01
## 3633            United States            M          Low 9.364419e-01
## 3634            United States            M         High 5.682427e-01
## 3635            United States            M         High 5.818958e-01
## 3636            United States            M          Low 8.573037e-01
## 3637            United States            M          Low 7.603168e-01
## 3638            United States            M          Low 7.436734e-01
## 3639            United States            M          Low 6.557318e-01
## 3640            United States            M         High 9.998241e-01
## 3641            United States            M          Low 9.912530e-01
## 3642            United States            M         High 9.930114e-01
## 3643            United States            M          Low 9.410453e-01
## 3644            United States            M         High 9.407075e-01
## 3645            United States            M         High 9.999765e-01
## 3646            United States            M         High 9.998474e-01
## 3647            United States            M          Low 9.694222e-01
## 3648            United States            M         High 6.334057e-01
## 3649            United States            M         High 9.954532e-01
## 3650            United States            M         High 9.997256e-01
## 3651            United States            M          Low 9.155231e-01
## 3652                   Canada            M         High 9.276397e-01
## 3653                   Canada            M          Low 9.995051e-01
## 3654            United States            M         High 9.407075e-01
## 3655            United States            M          Low 9.987416e-01
## 3656            United States            M          Low 9.983110e-01
## 3657            United States            M          Low 9.713432e-01
## 3658            United States            M         High 8.575188e-01
## 3659            United States            M         High 9.996551e-01
## 3660            United States            M         High 6.604326e-01
## 3661            United States            M         High 9.844512e-01
## 3662           United Kingdom            M         High 8.219532e-01
## 3663           United Kingdom            M          Low 9.961307e-01
## 3664            United States            M         High 3.474816e-01
## 3665            United States            M         High 9.999365e-01
## 3666            United States            M         High 3.885688e-01
## 3667            United States            M         High 9.918818e-01
## 3668            United States            M          Low 9.155231e-01
## 3669            United States            M          Low 6.098248e-01
## 3670            United States            M         High 9.994993e-01
## 3671            United States            M          Low 9.137558e-01
## 3672            United States            M         High 7.051030e-01
## 3673            United States            M         High 9.996765e-01
## 3674            United States            M         High 9.999765e-01
## 3675            United States            M          Low 9.834994e-01
## 3676           United Kingdom            M          Low 9.961307e-01
## 3677           United Kingdom            M          Low 8.883857e-01
## 3678            United States            M          Low 8.883857e-01
## 3679            United States            M          Low 5.541517e-01
## 3680           United Kingdom            M          Low 2.623394e-01
## 3681           United Kingdom            M          Low 2.928437e-01
## 3682           United Kingdom            M          Low 1.732619e-01
## 3683           United Kingdom            M          Low 2.268724e-01
## 3684                    Ghana            M          Low 2.046990e-01
## 3685                  Germany            L          Low 5.456588e-01
## 3686            United States            M         High 7.051030e-01
## 3687            United States            M         High 9.996765e-01
## 3688            United States            M         High 9.996742e-01
## 3689            United States            M          Low 8.159380e-01
## 3690            United States            M         High 9.561671e-01
## 3691            United States            M          Low 9.903533e-01
## 3692            United States            M         High 9.805707e-01
## 3693            United States            M          Low 9.385592e-01
## 3694            United States            M          Low 9.987416e-01
## 3695            United States            M          Low 8.883857e-01
## 3696            United States            M         High 9.997773e-01
## 3697            United States            M          Low 9.574692e-01
## 3698            United States            M         High 9.248472e-01
## 3699            United States            M          Low 9.715812e-01
## 3700            United States            M          Low 8.506363e-01
## 3701            United States            M          Low 7.594938e-01
## 3702            United States            M         High 9.971324e-01
## 3703            United States            M          Low 9.912530e-01
## 3704            United States            M         High 9.407075e-01
## 3705            United States            M          Low 9.987416e-01
## 3706              Netherlands            L          Low 7.186402e-01
## 3707            United States            M         High 5.741659e-02
## 3708            United States            M         High 9.601747e-01
## 3709            United States            M         High 9.736875e-01
## 3710            United States            M          Low 9.723657e-01
## 3711            United States            M          Low 8.500832e-01
## 3712            United States            M          Low 4.893190e-01
## 3713            United States            M         High 9.999765e-01
## 3714            United States            M          Low 9.912530e-01
## 3715                   Canada            M         High 5.496766e-01
## 3716                   Canada            M          Low 9.953574e-01
## 3717            United States            M          Low 9.104205e-01
## 3718            United States            M          Low 7.923686e-01
## 3719           United Kingdom            M         High 3.987330e-01
## 3720           United Kingdom            M         High 8.959286e-01
## 3721            United States            M         High 8.855555e-01
## 3722            United States            M          Low 9.772522e-01
## 3723            United States            M          Low 9.385592e-01
## 3724            United States            M          Low 8.225543e-01
## 3725            United States            M          Low 9.990792e-01
## 3726            United States            M          Low 8.513096e-01
## 3727            United States            M         High 8.263115e-01
## 3728            United States            M         High 9.964950e-01
## 3729            United States            M         High 9.561671e-01
## 3730            United States            M          Low 9.903533e-01
## 3731            United States            M          Low 9.987416e-01
## 3732            United States            M          Low 9.853060e-01
## 3733            United States            M         High 9.918818e-01
## 3734            United States            M          Low 9.912530e-01
## 3735           United Kingdom            M          Low 1.195016e-01
## 3736           United Kingdom            M          Low 1.732619e-01
## 3737            United States            M         High 8.369956e-01
## 3738            United States            M         High 9.964950e-01
## 3739                  Germany            L          Low 6.254531e-01
## 3740                   Sweden            L          Low 6.685821e-01
## 3741            United States            M         High 9.930114e-01
## 3742            United States            M          Low 9.410453e-01
## 3743            United States            M         High 9.561671e-01
## 3744            United States            M          Low 9.903533e-01
## 3745            United States            M         High 7.051030e-01
## 3746            United States            M         High 9.996765e-01
## 3747            United States            M         High 9.718308e-02
## 3748            United States            M          Low 9.993040e-01
## 3749            United States            M         High 7.051030e-01
## 3750            United States            M         High 9.996765e-01
## 3751            United States            M         High 8.639376e-01
## 3752            United States            M          Low 9.983276e-01
## 3753            United States            M         High 9.561671e-01
## 3754            United States            M          Low 9.903533e-01
## 3755            United States            M         High 5.741659e-02
## 3756            United States            M         High 9.601747e-01
## 3757            United States            M         High 4.989552e-01
## 3758            United States            M         High 9.889925e-01
## 3759            United States            M         High 8.639376e-01
## 3760            United States            M          Low 9.993481e-01
## 3761            United States            M          Low 9.961307e-01
## 3762            United States            M          Low 9.385592e-01
## 3763           United Kingdom            M         High 9.723752e-01
## 3764           United Kingdom            M          Low 9.312272e-01
## 3765            United States            M          Low 9.691454e-01
## 3766            United States            M          Low 7.005497e-01
## 3767            United States            M         High 9.997773e-01
## 3768            United States            M          Low 9.912530e-01
## 3769           United Kingdom            M         High 9.723752e-01
## 3770           United Kingdom            M          Low 9.312272e-01
## 3771            United States            M         High 9.248472e-01
## 3772            United States            M          Low 9.715812e-01
## 3773            United States            M          Low 9.922120e-01
## 3774            United States            M          Low 8.016317e-01
## 3775            United States            M         High 7.885974e-01
## 3776            United States            M         High 9.999765e-01
## 3777            United States            M         High 4.989552e-01
## 3778            United States            M         High 9.889925e-01
## 3779           United Kingdom            M          Low 2.833853e-01
## 3780           United Kingdom            M          Low 2.925333e-01
## 3781            United States            M         High 8.639376e-01
## 3782            United States            M          Low 9.993481e-01
## 3783            United States            M         High 9.930114e-01
## 3784            United States            M          Low 9.410453e-01
## 3785            United States            M         High 8.639376e-01
## 3786            United States            M          Low 9.993481e-01
## 3787            United States            M         High 5.868166e-01
## 3788            United States            M         High 9.877971e-01
## 3789            United States            M         High 7.051030e-01
## 3790            United States            M         High 9.996765e-01
## 3791            United States            M         High 8.639376e-01
## 3792            United States            M          Low 9.993481e-01
## 3793            United States            M         High 7.051030e-01
## 3794            United States            M         High 9.996765e-01
## 3795            United States            M         High 9.561671e-01
## 3796            United States            M          Low 9.903533e-01
## 3797           United Kingdom            M         High 8.555353e-01
## 3798           United Kingdom            M          Low 9.804736e-01
## 3799            United States            M         High 1.337345e-01
## 3800            United States            M         High 5.209999e-01
## 3801            United States            M         High 9.999126e-01
## 3802            United States            M          Low 9.242927e-01
## 3803              South Korea            S          Low 3.842188e-01
## 3804                    Spain            M          Low 5.875114e-01
## 3805            United States            M          Low 9.834994e-01
## 3806            United States            M          Low 8.225543e-01
## 3807            United States            M         High 1.796154e-01
## 3808            United States            M         High 6.962903e-01
## 3809            United States            L         High 7.293893e-01
## 3810            United States            L          Low 9.968132e-01
## 3811            United States            M         High 9.985699e-01
## 3812            United States            M         High 9.999743e-01
## 3813                  Estonia            M          Low 4.636060e-01
## 3814                  Estonia            M          Low 3.595247e-01
## 3815            United States            M          Low 9.974066e-01
## 3816            United States            M          Low 8.973416e-01
## 3817            United States            M         High 7.925060e-01
## 3818            United States            M         High 9.999765e-01
## 3819            United States            M         High 9.999765e-01
## 3820            United States            M          Low 9.723657e-01
## 3821            United States            M         High 2.497951e-01
## 3822            United States            M         High 8.560987e-01
## 3823            United States            M         High 9.561671e-01
## 3824            United States            M         High 9.946766e-01
## 3825            United States            M          Low 9.540139e-01
## 3826            United States            M          Low 8.883857e-01
## 3827            United States            L         High 3.885688e-01
## 3828            United States            L          Low 9.968132e-01
## 3829            United States            M         High 9.981643e-01
## 3830            United States            M          Low 9.426696e-01
## 3831            United States            M         High 7.007051e-01
## 3832            United States            M          Low 9.985257e-01
## 3833            United States            M         High 7.051030e-01
## 3834            United States            M         High 9.996765e-01
## 3835            United States            M         High 9.805707e-01
## 3836            United States            M          Low 9.385592e-01
## 3837            United States            M          Low 9.732639e-01
## 3838            United States            M          Low 6.952492e-01
## 3839            United States            M         High 9.229524e-01
## 3840            United States            M         High 9.985699e-01
## 3841                   France            M          Low 3.136803e-01
## 3842            United States            M         High 9.593588e-01
## 3843            United States            M          Low 9.703788e-01
## 3844            United States            M         High 9.772926e-01
## 3845            United States            M          Low 9.968132e-01
## 3846            United States            M         High 9.447325e-01
## 3847            United States            M         High 9.991661e-01
## 3848            United States            M          Low 8.297805e-01
## 3849            United States            M          Low 7.603168e-01
## 3850            United States            M         High 9.999703e-01
## 3851            United States            M          Low 7.633120e-01
## 3852            United States            M         High 9.321614e-01
## 3853            United States            M         High 9.971324e-01
## 3854            United States            M         High 9.844512e-01
## 3855            United States            M          Low 9.834994e-01
## 3856            United States            M         High 9.200850e-01
## 3857            United States            M         High 9.994141e-01
## 3858            United States            L         High 5.635990e-01
## 3859            United States            L          Low 9.809475e-01
## 3860            United States            L         High 8.055738e-01
## 3861            United States            L          Low 9.450567e-01
## 3862            United States            M         High 4.107268e-01
## 3863            United States            M         High 9.253168e-01
## 3864            United States            M         High 1.114950e-01
## 3865            United States            M         High 5.219219e-01
## 3866            United States            M         High 8.575188e-01
## 3867            United States            M         High 9.996551e-01
## 3868            United States            L         High 9.940326e-01
## 3869            United States            L          Low 7.300943e-01
## 3870            United States            M         High 3.885688e-01
## 3871            United States            M         High 9.844512e-01
## 3872            United States            M          Low 9.912554e-01
## 3873            United States            M          Low 6.729960e-01
## 3874            United States            M         High 8.116011e-01
## 3875            United States            M          Low 9.935172e-01
## 3876            United States            M         High 9.805707e-01
## 3877            United States            M          Low 9.385592e-01
## 3878            United States            M         High 9.971324e-01
## 3879            United States            M          Low 9.912530e-01
## 3880            United States            M         High 9.561671e-01
## 3881            United States            M          Low 9.903533e-01
## 3882            United States            M         High 4.934731e-01
## 3883            United States            M         High 9.998534e-01
## 3884            United States            M         High 9.999508e-01
## 3885            United States            M          Low 8.368718e-01
## 3886            United States            M         High 4.934731e-01
## 3887            United States            M         High 9.998534e-01
## 3888            United States            M         High 9.998241e-01
## 3889            United States            M          Low 3.676155e-01
## 3890            United States            M         High 7.645606e-01
## 3891            United States            M          Low 9.574692e-01
## 3892            United States            M          Low 9.104205e-01
## 3893            United States            M          Low 7.923686e-01
## 3894            United States            M         High 6.109127e-01
## 3895            United States            M          Low 9.312809e-01
## 3896            United States            M          Low 8.573037e-01
## 3897            United States            M          Low 7.603168e-01
## 3898            United States            M         High 9.999543e-01
## 3899            United States            M          Low 8.506363e-01
## 3900            United States            M          Low 9.605510e-01
## 3901            United States            M          Low 7.575642e-01
## 3902            United States            M          Low 9.385592e-01
## 3903            United States            M          Low 7.352126e-01
## 3904            United States            M         High 2.836658e-01
## 3905            United States            M         High 9.677888e-01
## 3906            United States            M         High 9.989095e-01
## 3907            United States            M          Low 9.466151e-01
## 3908            United States            M         High 2.077401e-01
## 3909            United States            M         High 9.998923e-01
## 3910            United States            M         High 7.480174e-01
## 3911            United States            M         High 9.918818e-01
## 3912            United States            M         High 9.853367e-01
## 3913            United States            M          Low 9.503962e-01
## 3914            United States            M         High 7.051030e-01
## 3915            United States            M          Low 9.834994e-01
## 3916            United States            M         High 8.913819e-01
## 3917            United States            M         High 9.736875e-01
## 3918            United States            M         High 4.762059e-01
## 3919            United States            M          Low 9.834994e-01
## 3920            United States            M          Low 9.385592e-01
## 3921            United States            M          Low 8.225543e-01
## 3922            United States            M         High 2.723230e-01
## 3923            United States            M         High 8.913819e-01
## 3924            United States            M         High 2.723230e-01
## 3925            United States            M         High 8.913819e-01
## 3926           United Kingdom            M         High 3.987330e-01
## 3927           United Kingdom            M         High 8.959286e-01
## 3928           United Kingdom            M         High 9.805707e-01
## 3929           United Kingdom            M          Low 9.968132e-01
## 3930            United States            M          Low 9.385592e-01
## 3931            United States            M          Low 7.436734e-01
## 3932            United States            M          Low 9.574692e-01
## 3933            United States            M          Low 7.005497e-01
## 3934            United States            M          Low 9.983110e-01
## 3935            United States            M          Low 9.788677e-01
## 3936            United States            M          Low 9.987416e-01
## 3937            United States            M          Low 9.853060e-01
## 3938            United States            M         High 6.467791e-01
## 3939            United States            M          Low 9.668757e-01
## 3940            United States            M         High 1.337345e-01
## 3941            United States            M         High 4.798286e-01
## 3942            United States            L         High 9.591944e-01
## 3943            United States            L          Low 7.402998e-01
## 3944            United States            M         High 9.248472e-01
## 3945            United States            M          Low 9.715812e-01
## 3946            United States            L         High 5.635990e-01
## 3947            United States            L          Low 9.809475e-01
## 3948            United States            M          Low 9.723657e-01
## 3949            United States            M          Low 9.385592e-01
## 3950            United States            M          Low 8.883857e-01
## 3951            United States            M          Low 7.005497e-01
## 3952            United States            M         High 1.448698e-01
## 3953            United States            M          Low 9.979266e-01
## 3954            United States            M          Low 9.961307e-01
## 3955            United States            M          Low 9.155231e-01
## 3956            United States            M         High 3.308834e-01
## 3957            United States            M         High 9.947748e-01
## 3958            United States            M         High 8.795718e-01
## 3959            United States            M          Low 9.987416e-01
## 3960            United States            M         High 9.855958e-01
## 3961            United States            M          Low 9.866561e-01
## 3962           United Kingdom            M         High 3.987330e-01
## 3963           United Kingdom            M         High 8.959286e-01
## 3964            United States            M         High 9.466832e-01
## 3965            United States            M          Low 9.638984e-01
## 3966            United States            M         High 9.999747e-01
## 3967            United States            M         High 9.995481e-01
## 3968            United States            M         High 4.403236e-02
## 3969            United States            M         High 8.671405e-01
## 3970            United States            M         High 4.989552e-01
## 3971            United States            M         High 9.889925e-01
## 3972            United States            M         High 8.913819e-01
## 3973            United States            M         High 9.989095e-01
## 3974            United States            L         High 8.567600e-01
## 3975            United States            L          Low 9.189970e-01
## 3976            United States            M         High 5.587770e-02
## 3977            United States            M         High 9.991890e-01
## 3978            United States            M         High 6.513408e-01
## 3979            United States            M         High 9.995510e-01
## 3980            United States            M         High 5.682427e-01
## 3981            United States            M         High 9.995510e-01
## 3982            United States            M         High 6.422077e-01
## 3983            United States            M          Low 9.298415e-01
## 3984            United States            M         High 9.997773e-01
## 3985            United States            M          Low 9.912530e-01
## 3986           United Kingdom            M         High 2.564971e-01
## 3987           United Kingdom            M         High 8.017665e-01
## 3988            United States            M         High 9.736875e-01
## 3989            United States            M          Low 9.961307e-01
## 3990            United States            M         High 8.334683e-01
## 3991            United States            M          Low 9.961307e-01
## 3992            United States            L         High 3.885688e-01
## 3993            United States            L          Low 9.968132e-01
## 3994            United States            M         High 8.334683e-01
## 3995            United States            M          Low 9.961307e-01
## 3996            United States            M         High 9.616181e-01
## 3997            United States            M         High 9.945041e-01
## 3998            United States            M          Low 8.573037e-01
## 3999            United States            M          Low 7.845206e-01
## 4000            United States            M         High 6.604326e-01
## 4001            United States            M         High 9.844512e-01
## 4002           United Kingdom            M          Low 9.540655e-02
## 4003           United Kingdom            M          Low 1.732619e-01
## 4004            United States            M         High 9.998656e-01
## 4005            United States            M          Low 6.425039e-01
## 4006            United States            M          Low 8.225543e-01
## 4007            United States            M          Low 5.634352e-01
## 4008            United States            M         High 6.909709e-01
## 4009            United States            M          Low 9.987753e-01
## 4010            United States            M         High 9.930114e-01
## 4011            United States            M          Low 9.410453e-01
## 4012            United States            M         High 9.905740e-01
## 4013            United States            M          Low 9.823505e-01
## 4014            United States            M         High 7.007051e-01
## 4015            United States            M          Low 9.985257e-01
## 4016            United States            M         High 6.909709e-01
## 4017            United States            M          Low 9.987753e-01
## 4018            United States            M         High 9.981643e-01
## 4019            United States            M          Low 9.426696e-01
## 4020           United Kingdom            M          Low 2.925333e-01
## 4021           United Kingdom            M          Low 2.853242e-01
## 4022            United States            M          Low 9.968132e-01
## 4023            United States            M          Low 9.104205e-01
## 4024            United States            M          Low 7.436734e-01
## 4025            United States            M          Low 4.942249e-01
## 4026            United States            M         High 9.999765e-01
## 4027            United States            M          Low 9.574692e-01
## 4028            United States            M         High 4.492811e-01
## 4029            United States            M         High 9.996765e-01
## 4030            United States            M         High 1.315857e-01
## 4031            United States            M         High 6.146101e-01
## 4032            United States            L         High 7.216494e-01
## 4033            United States            L          Low 9.564495e-01
## 4034           United Kingdom            M         High 9.881034e-01
## 4035           United Kingdom            M          Low 9.385592e-01
## 4036            United States            M          Low 8.573037e-01
## 4037            United States            M          Low 6.557318e-01
## 4038            United States            M         High 9.736875e-01
## 4039            United States            M          Low 9.723657e-01
## 4040            United States            M         High 9.999543e-01
## 4041            United States            M          Low 8.506363e-01
## 4042                   Canada            M         High 9.654592e-01
## 4043                   Canada            M          Low 9.834994e-01
## 4044            United States            M         High 9.561671e-01
## 4045            United States            M          Low 9.903533e-01
## 4046            United States            M          Low 9.732639e-01
## 4047            United States            M          Low 6.952492e-01
## 4048            United States            M          Low 9.953574e-01
## 4049            United States            M          Low 9.723657e-01
## 4050                  Estonia            M          Low 4.916381e-01
## 4051                  Estonia            M          Low 3.971984e-01
## 4052            United States            M         High 3.991588e-01
## 4053            United States            M         High 9.885535e-01
## 4054            United States            M         High 4.404131e-01
## 4055            United States            M         High 8.913819e-01
## 4056            United States            M         High 9.999126e-01
## 4057            United States            M          Low 9.242927e-01
## 4058            United States            M         High 6.604326e-01
## 4059            United States            M         High 9.130823e-01
## 4060            United States            M         High 9.561671e-01
## 4061            United States            M          Low 9.903533e-01
## 4062            United States            M          Low 9.885274e-01
## 4063            United States            M          Low 7.561921e-01
## 4064            United States            M         High 7.480174e-01
## 4065            United States            M         High 9.999765e-01
## 4066            United States            M         High 6.909709e-01
## 4067            United States            M          Low 9.987753e-01
## 4068            United States            M         High 4.934731e-01
## 4069            United States            M         High 9.998534e-01
## 4070            United States            M         High 9.998241e-01
## 4071            United States            M          Low 9.365615e-01
## 4072                Australia            M         High 1.933295e-01
## 4073                Australia            M         High 8.439461e-01
## 4074            United States            M         High 4.934731e-01
## 4075            United States            M         High 9.998534e-01
## 4076           United Kingdom            M          Low 9.955196e-01
## 4077           United Kingdom            M          Low 9.062206e-01
## 4078            United States            L         High 5.635990e-01
## 4079            United States            L          Low 9.809475e-01
## 4080            United States            M         High 9.321614e-01
## 4081            United States            M         High 9.971324e-01
## 4082            United States            M         High 3.124277e-01
## 4083            United States            M         High 9.952895e-01
## 4084            United States            L         High 9.989095e-01
## 4085            United States            M          Low 8.500899e-01
## 4086            United States            M          Low 4.893190e-01
## 4087            United States            M          Low 8.500899e-01
## 4088            United States            M          Low 4.893190e-01
## 4089            United States            M         High 9.736875e-01
## 4090            United States            M          Low 9.574692e-01
## 4091            United States            M         High 9.537220e-01
## 4092            United States            M          Low 9.718442e-01
## 4093            United States            M         High 9.989095e-01
## 4094            United States            M          Low 7.005497e-01
## 4095            United States            M         High 8.913819e-01
## 4096            United States            M          Low 9.574692e-01
## 4097            United States            M         High 2.386533e-01
## 4098            United States            M         High 8.913819e-01
## 4099            United States            L         High 3.885688e-01
## 4100            United States            L          Low 9.968132e-01
## 4101            United States            M         High 3.370716e-03
## 4102            United States            M         High 7.604666e-02
## 4103            United States            M         High 6.146101e-01
## 4104            United States            M         High 8.671405e-01
## 4105            United States            M         High 4.404131e-01
## 4106            United States            M         High 8.913819e-01
## 4107            United States            M         High 9.025560e-01
## 4108            United States            M          Low 9.935172e-01
## 4109            United States            M          Low 9.992095e-01
## 4110            United States            M          Low 8.533207e-01
## 4111            United States            M          Low 9.961307e-01
## 4112            United States            M          Low 9.298415e-01
## 4113            United States            M         High 8.302644e-01
## 4114            United States            M         High 9.944488e-01
## 4115            United States            M         High 9.591944e-01
## 4116            United States            M         High 9.971324e-01
## 4117            United States            M          Low 9.772522e-01
## 4118            United States            M          Low 8.506363e-01
## 4119            United States            M          Low 7.436734e-01
## 4120            United States            M          Low 4.942249e-01
## 4121            United States            M         High 5.868166e-01
## 4122            United States            M         High 9.999741e-01
## 4123            United States            M         High 4.055692e-01
## 4124            United States            M         High 8.795718e-01
## 4125            United States            M         High 9.537220e-01
## 4126            United States            M          Low 9.623508e-01
## 4127            United States            M         High 7.480174e-01
## 4128            United States            M         High 9.989095e-01
## 4129            United States            L         High 7.293893e-01
## 4130            United States            L          Low 9.968132e-01
## 4131            United States            M         High 6.784732e-01
## 4132            United States            M          Low 9.968132e-01
## 4133           United Kingdom            M          Low 2.833853e-01
## 4134           United Kingdom            M          Low 2.871634e-01
## 4135            United States            M         High 9.844512e-01
## 4136            United States            M         High 9.997773e-01
## 4137            United States            M         High 9.180998e-01
## 4138            United States            M          Low 9.987416e-01
## 4139            United States            M         High 9.736875e-01
## 4140            United States            M         High 9.964950e-01
## 4141            United States            M         High 7.480174e-01
## 4142            United States            M         High 9.407075e-01
## 4143                  Germany            L          Low 7.361000e-01
## 4144                   Canada            L          Low 1.422874e-05
## 4145           United Kingdom            L          Low 2.007518e-01
## 4146            United States            M         High 9.945041e-01
## 4147            United States            M          Low 9.228683e-01
## 4148           United Kingdom            M         High 9.998604e-01
## 4149           United Kingdom            M          Low 8.727005e-01
## 4150            United States            M         High 2.471449e-01
## 4151            United States            M         High 9.991111e-01
## 4152            United States            M         High 6.909709e-01
## 4153            United States            M          Low 9.987753e-01
## 4154            United States            M         High 5.741659e-02
## 4155            United States            M         High 9.601747e-01
## 4156            United States            M          Low 9.961307e-01
## 4157            United States            M          Low 9.298415e-01
## 4158                   Canada            L          Low 1.128899e-01
## 4159            United States            M         High 9.918818e-01
## 4160            United States            M          Low 9.723657e-01
## 4161            United States            M         High 9.954823e-01
## 4162            United States            M          Low 9.622096e-01
## 4163            United States            M         High 9.997773e-01
## 4164            United States            M          Low 9.834994e-01
## 4165            United States            M         High 9.593588e-01
## 4166            United States            M          Low 9.703788e-01
## 4167            United States            M          Low 8.573037e-01
## 4168            United States            M          Low 7.093291e-01
## 4169            United States            M          Low 7.436734e-01
## 4170            United States            M          Low 4.942249e-01
## 4171            United States            M         High 9.989095e-01
## 4172            United States            M          Low 9.924405e-01
## 4173            United States            M         High 9.940326e-01
## 4174            United States            M          Low 9.912530e-01
## 4175            United States            M         High 4.762059e-01
## 4176            United States            M          Low 9.987416e-01
## 4177            United States            M         High 9.997773e-01
## 4178            United States            M          Low 9.574692e-01
## 4179            United States            M         High 7.311002e-01
## 4180            United States            M         High 9.953718e-01
## 4181            United States            M         High 8.567600e-01
## 4182            United States            M          Low 9.189970e-01
## 4183            United States            M          Low 9.968132e-01
## 4184            United States            M          Low 9.104205e-01
## 4185            United States            M          Low 9.979266e-01
## 4186            United States            M          Low 6.282793e-01
## 4187            United States            M         High 8.175475e-01
## 4188            United States            M         High 9.825796e-01
## 4189            United States            M         High 6.604326e-01
## 4190            United States            M          Low 9.961307e-01
## 4191            United States            M          Low 7.436734e-01
## 4192            United States            M          Low 5.634352e-01
## 4193            United States            M         High 8.913819e-01
## 4194            United States            M         High 9.736875e-01
## 4195                   Turkey            L          Low 0.000000e+00
## 4196            United States            M         High 9.998241e-01
## 4197            United States            M          Low 9.985634e-01
## 4198            United States            M          Low 9.885274e-01
## 4199            United States            M          Low 7.561921e-01
## 4200            United States            M         High 8.913819e-01
## 4201            United States            M          Low 9.723657e-01
## 4202            United States            M          Low 9.861596e-01
## 4203            United States            M          Low 7.266652e-01
## 4204            United States            M         High 9.994626e-01
## 4205            United States            M          Low 9.137558e-01
## 4206            United States            M         High 9.825796e-01
## 4207            United States            M          Low 9.944879e-01
## 4208            United States            M          Low 9.723657e-01
## 4209            United States            M          Low 8.883857e-01
## 4210                   France            M          Low 6.557318e-01
## 4211                   France            M          Low 3.842188e-01
## 4212            United States            M         High 9.407075e-01
## 4213            United States            M         High 9.993980e-01
## 4214            United States            M         High 9.683556e-01
## 4215            United States            M         High 9.999765e-01
## 4216            United States            M         High 9.903103e-01
## 4217            United States            M          Low 9.531247e-01
## 4218            United States            M         High 4.582049e-01
## 4219            United States            M          Low 9.899501e-01
## 4220            United States            M         High 6.513408e-01
## 4221            United States            M         High 8.867334e-01
## 4222            United States            M         High 4.689823e-01
## 4223            United States            M         High 9.947748e-01
## 4224            United States            M         High 4.689823e-01
## 4225            United States            M         High 9.947748e-01
## 4226            United States            M         High 9.991635e-01
## 4227            United States            M          Low 9.727786e-01
## 4228            United States            M          Low 9.987416e-01
## 4229            United States            M          Low 9.385592e-01
## 4230            United States            M         High 9.964950e-01
## 4231            United States            M         High 9.999705e-01
## 4232            United States            L         High 1.796154e-01
## 4233            United States            M         High 4.989552e-01
## 4234            United States            M         High 9.889925e-01
## 4235            United States            M         High 9.844512e-01
## 4236            United States            M          Low 9.912530e-01
## 4237            United States            M         High 7.051030e-01
## 4238            United States            M         High 9.996765e-01
## 4239            United States            L         High 3.885688e-01
## 4240            United States            L          Low 9.968132e-01
## 4241            United States            M          Low 7.845206e-01
## 4242            United States            M          Low 6.760711e-01
## 4243            United States            M         High 9.979350e-01
## 4244            United States            M          Low 9.912530e-01
## 4245            United States            M         High 9.997773e-01
## 4246            United States            M          Low 9.912530e-01
## 4247            United States            L         High 8.567600e-01
## 4248            United States            L          Low 9.189970e-01
## 4249                 Portugal            L          Low 2.561322e-01
## 4250            United States            M          Low 7.684905e-01
## 4251            United States            M          Low 6.002604e-01
## 4252            United States            M         High 9.462964e-01
## 4253            United States            M          Low 9.448600e-01
## 4254            United States            M         High 7.538519e-01
## 4255            United States            M          Low 9.995051e-01
## 4256            United States            M         High 6.403766e-01
## 4257            United States            M          Low 9.947591e-01
## 4258            United States            M          Low 9.912530e-01
## 4259            United States            M          Low 7.436734e-01
## 4260                  Germany            M         High 2.883470e-01
## 4261                  Germany            M          Low 6.928378e-01
## 4262            United States            M         High 8.976072e-01
## 4263            United States            M         High 9.645295e-01
## 4264           United Kingdom            M          Low 2.871634e-01
## 4265           United Kingdom            M          Low 2.871634e-01
## 4266            United States            M         High 8.639376e-01
## 4267            United States            M          Low 9.993481e-01
## 4268            United States            M         High 2.145269e-03
## 4269            United States            M         High 7.138454e-01
## 4270            United States            M         High 6.330383e-01
## 4271            United States            M         High 8.965009e-01
## 4272            United States            M         High 9.892790e-01
## 4273            United States            M          Low 9.252341e-01
## 4274            United States            M          Low 8.500899e-01
## 4275            United States            M          Low 4.893190e-01
## 4276            United States            M         High 7.480174e-01
## 4277            United States            M         High 9.999765e-01
## 4278            United States            M          Low 9.885274e-01
## 4279            United States            M          Low 7.561921e-01
## 4280            United States            M         High 8.913819e-01
## 4281            United States            M         High 9.999765e-01
## 4282            United States            M         High 8.373464e-01
## 4283            United States            M         High 9.999683e-01
## 4284            United States            M         High 8.373464e-01
## 4285            United States            M         High 9.999683e-01
## 4286            United States            M         High 5.593277e-01
## 4287            United States            M         High 8.867334e-01
## 4288            United States            M          Low 9.740963e-01
## 4289            United States            M          Low 6.774986e-01
## 4290            United States            M         High 9.321614e-01
## 4291            United States            M         High 9.971324e-01
## 4292            United States            M          Low 7.436734e-01
## 4293            United States            M          Low 4.942249e-01
## 4294            United States            M         High 4.762059e-01
## 4295            United States            M         High 9.825796e-01
## 4296            United States            M         High 4.762059e-01
## 4297            United States            M         High 9.918818e-01
## 4298            United States            M         High 4.762059e-01
## 4299            United States            M         High 8.913819e-01
## 4300            United States            M          Low 9.968132e-01
## 4301            United States            M          Low 9.104205e-01
## 4302            United States            M         High 6.604326e-01
## 4303            United States            M         High 9.844512e-01
## 4304                   Brazil            L          Low 1.552415e-76
## 4305            United States            L         High 2.138145e-01
## 4306            United States            M         High 9.945041e-01
## 4307            United States            M          Low 9.228683e-01
## 4308            United States            M         High 4.403236e-02
## 4309            United States            M         High 8.671405e-01
## 4310            United States            M         High 6.909709e-01
## 4311            United States            M          Low 9.987753e-01
## 4312            United States            M         High 1.206142e-02
## 4313            United States            M         High 9.295153e-02
## 4314            United States            M         High 1.206142e-02
## 4315            United States            M         High 1.519159e-01
## 4316            United States            M         High 9.771548e-01
## 4317            United States            M         High 9.999667e-01
## 4318            United States            M         High 2.471449e-01
## 4319            United States            M         High 9.991111e-01
## 4320            United States            M         High 4.118738e-02
## 4321            United States            M         High 2.150259e-01
## 4322            United States            M         High 9.940770e-01
## 4323            United States            M          Low 9.602148e-01
## 4324            United States            M         High 9.999765e-01
## 4325            United States            M          Low 9.834994e-01
## 4326            United States            M         High 4.118738e-02
## 4327            United States            M         High 3.260623e-01
## 4328            United States            M         High 9.591944e-01
## 4329            United States            M          Low 4.715285e-01
## 4330            United States            M         High 4.118738e-02
## 4331            United States            M         High 2.150259e-01
## 4332            United States            M         High 9.442978e-01
## 4333            United States            M          Low 9.983686e-01
## 4334            United States            M         High 8.970492e-01
## 4335            United States            M         High 9.997773e-01
## 4336            United States            M         High 8.970492e-01
## 4337            United States            M          Low 9.993040e-01
## 4338           United Kingdom            M         High 6.604326e-01
## 4339           United Kingdom            M         High 9.918818e-01
## 4340            United States            M         High 4.118738e-02
## 4341            United States            M         High 2.150259e-01
## 4342            United States            M          Low 6.190641e-01
## 4343            United States            M          Low 4.896651e-01
## 4344            United States            M          Low 9.402232e-01
## 4345            United States            M          Low 6.374655e-01
## 4346            United States            M         High 5.741659e-02
## 4347            United States            M         High 9.601747e-01
## 4348            United States            M         High 8.795718e-01
## 4349            United States            M          Low 9.987416e-01
## 4350            United States            M         High 6.146101e-01
## 4351            United States            M         High 8.913819e-01
## 4352            United States            M         High 1.206142e-02
## 4353            United States            M         High 1.519159e-01
## 4354            United States            M         High 7.562869e-02
## 4355            United States            M         High 8.795718e-01
## 4356            United States            M         High 9.771548e-01
## 4357            United States            M         High 9.999667e-01
## 4358            United States            M         High 9.918818e-01
## 4359            United States            M          Low 9.723657e-01
## 4360            United States            L         High 8.913819e-01
## 4361            United States            M         High 6.909709e-01
## 4362            United States            M          Low 9.987753e-01
## 4363            United States            M         High 9.953718e-01
## 4364            United States            M          Low 9.512061e-01
## 4365            United States            M         High 4.989552e-01
## 4366            United States            M         High 9.889925e-01
## 4367            United States            M         High 8.782008e-03
## 4368            United States            M         High 7.604666e-02
## 4369            United States            L         High 9.591944e-01
## 4370            United States            L          Low 7.402998e-01
## 4371            United States            L         High 3.885688e-01
## 4372            United States            L          Low 9.968132e-01
## 4373                Australia            M         High 1.933295e-01
## 4374                Australia            M         High 8.439461e-01
## 4375            United States            M         High 6.694784e-01
## 4376            United States            M          Low 9.924405e-01
## 4377            United States            M          Low 9.155231e-01
## 4378            United States            M          Low 6.557318e-01
## 4379            United States            L         High 9.591944e-01
## 4380            United States            L          Low 7.977929e-01
## 4381            United States            M         High 9.736875e-01
## 4382            United States            M         High 9.999765e-01
## 4383            United States            M         High 9.997773e-01
## 4384            United States            M          Low 9.574692e-01
## 4385            United States            M         High 9.308223e-01
## 4386            United States            M         High 9.999029e-01
## 4387            United States            L         High 7.293893e-01
## 4388            United States            L          Low 9.968132e-01
## 4389                   Canada            L          Low 2.029541e-02
## 4390            United States            M         High 9.999765e-01
## 4391            United States            M          Low 8.225543e-01
## 4392            United States            M         High 9.998241e-01
## 4393            United States            M          Low 9.985634e-01
## 4394            United States            M          Low 9.931527e-01
## 4395            United States            M          Low 9.171212e-01
## 4396            United States            L         High 7.293893e-01
## 4397            United States            L          Low 9.968132e-01
## 4398            United States            M         High 8.639376e-01
## 4399            United States            M          Low 9.859915e-01
## 4400            United States            L         High 9.583441e-02
## 4401            United States            L         High 9.991635e-01
## 4402            United States            M         High 6.109127e-01
## 4403            United States            M         High 9.988846e-01
## 4404            United States            M         High 9.998729e-01
## 4405            United States            M          Low 9.713432e-01
## 4406            United States            M         High 9.407075e-01
## 4407            United States            M         High 9.844512e-01
## 4408            United States            M         High 1.337345e-01
## 4409            United States            M         High 5.209999e-01
## 4410           United Kingdom            M         High 6.707769e-01
## 4411           United Kingdom            M         High 9.997282e-01
## 4412            United States            M         High 8.263115e-01
## 4413            United States            M         High 9.999655e-01
## 4414            United States            M         High 4.118738e-02
## 4415            United States            M         High 3.260623e-01
## 4416            United States            M         High 9.999765e-01
## 4417            United States            M          Low 8.883857e-01
## 4418            United States            M          Low 9.861596e-01
## 4419            United States            M          Low 7.266652e-01
## 4420                    Spain            M          Low 4.304619e-01
## 4421                    Spain            M          Low 3.595247e-01
## 4422            United States            M          Low 9.861596e-01
## 4423            United States            M          Low 7.266652e-01
## 4424            United States            M         High 9.945041e-01
## 4425            United States            M          Low 9.228683e-01
## 4426            United States            M          Low 9.155231e-01
## 4427            United States            M          Low 6.557318e-01
## 4428           United Kingdom            M         High 1.315857e-01
## 4429           United Kingdom            M         High 8.913819e-01
## 4430            United States            M          Low 8.638240e-01
## 4431            United States            M          Low 6.738238e-01
## 4432            United States            M         High 5.741659e-02
## 4433            United States            M         High 9.601747e-01
## 4434            United States            M         High 8.597180e-01
## 4435            United States            M         High 9.941767e-01
## 4436            United States            M         High 3.308834e-01
## 4437            United States            M         High 9.947748e-01
## 4438            United States            M         High 4.989552e-01
## 4439            United States            M         High 9.889925e-01
## 4440            United States            M          Low 9.912530e-01
## 4441            United States            M          Low 9.385592e-01
## 4442            United States            M         High 4.492811e-01
## 4443            United States            M         High 9.996765e-01
## 4444            United States            L         High 7.293893e-01
## 4445            United States            L          Low 9.968132e-01
## 4446            United States            M         High 2.471449e-01
## 4447            United States            M         High 9.991111e-01
## 4448            United States            M         High 7.246672e-01
## 4449            United States            M         High 9.676461e-01
## 4450              Switzerland            S          Low 6.531265e-01
## 4451                  Andorra            S          Low 4.462780e-01
## 4452            United States            M         High 7.885974e-01
## 4453            United States            M         High 9.591944e-01
## 4454            United States            M         High 1.476405e-01
## 4455            United States            M         High 9.999634e-01
## 4456            United States            M         High 8.541058e-01
## 4457            United States            M          Low 9.988248e-01
## 4458            United States            L         High 4.360012e-01
## 4459            United States            L          Low 9.923268e-01
## 4460            United States            M         High 9.025560e-01
## 4461            United States            M          Low 9.815571e-01
## 4462            United States            M         High 9.997773e-01
## 4463            United States            M          Low 9.912530e-01
## 4464            United States            M         High 6.193652e-01
## 4465            United States            M          Low 9.491102e-01
## 4466            United States            M         High 1.476405e-01
## 4467            United States            M         High 9.999634e-01
## 4468            United States            L         High 7.293893e-01
## 4469            United States            L          Low 9.968132e-01
## 4470            United States            M         High 8.913819e-01
## 4471            United States            M         High 9.999765e-01
## 4472            United States            M          Low 9.834994e-01
## 4473            United States            M          Low 9.155231e-01
## 4474           United Kingdom            M          Low 2.007518e-01
## 4475           United Kingdom            M          Low 2.928437e-01
## 4476                   France            M          Low 5.807903e-01
## 4477                   France            M          Low 5.456588e-01
## 4478                   Canada            M         High 4.055692e-01
## 4479                   Canada            M         High 9.407075e-01
## 4480            United States            M         High 9.618271e-01
## 4481            United States            M         High 9.945580e-01
## 4482                   Canada            L          Low 1.063557e-02
## 4483              Netherlands            L          Low 3.136803e-01
## 4484            United States            M         High 8.639376e-01
## 4485            United States            M          Low 9.912530e-01
## 4486            United States            M          Low 8.225543e-01
## 4487            United States            M          Low 7.765599e-01
## 4488            United States            M          Low 9.968132e-01
## 4489            United States            M          Low 9.104205e-01
## 4490            United States            M         High 8.771347e-01
## 4491            United States            M         High 9.999247e-01
## 4492            United States            M          Low 7.436734e-01
## 4493            United States            M          Low 4.942249e-01
## 4494            United States            M          Low 9.885274e-01
## 4495            United States            M          Low 7.561921e-01
## 4496            United States            M          Low 9.155231e-01
## 4497            United States            M          Low 7.005497e-01
## 4498            United States            M          Low 8.573037e-01
## 4499            United States            M          Low 7.005497e-01
## 4500            United States            M         High 9.945041e-01
## 4501            United States            M          Low 9.228683e-01
## 4502            United States            M          Low 9.985634e-01
## 4503            United States            M          Low 8.225543e-01
## 4504            United States            M         High 3.124277e-01
## 4505            United States            M         High 9.952895e-01
## 4506            United States            M         High 4.403236e-02
## 4507            United States            M         High 8.671405e-01
## 4508            United States            M         High 4.582049e-01
## 4509            United States            M          Low 9.899501e-01
## 4510            United States            M         High 9.736875e-01
## 4511            United States            M         High 9.964950e-01
## 4512            United States            M         High 9.321614e-01
## 4513            United States            M          Low 9.993040e-01
## 4514            United States            M          Low 9.995051e-01
## 4515            United States            M          Low 9.899501e-01
## 4516            United States            M         High 9.365173e-01
## 4517            United States            M         High 9.998604e-01
## 4518            United States            M          Low 7.845206e-01
## 4519            United States            M          Low 6.557318e-01
## 4520            United States            M         High 9.998241e-01
## 4521            United States            M          Low 9.985634e-01
## 4522           United Kingdom            M         High 1.390231e-02
## 4523           United Kingdom            M          Low 1.457745e-01
## 4524            United States            M          Low 9.983110e-01
## 4525            United States            M          Low 9.788677e-01
## 4526            United States            M         High 8.055738e-01
## 4527            United States            M         High 9.997568e-01
## 4528            United States            M         High 4.762059e-01
## 4529            United States            M          Low 8.883857e-01
## 4530            United States            M         High 8.302644e-01
## 4531            United States            M         High 9.944488e-01
## 4532                  Ecuador            L          Low 2.106009e-01
## 4533                 Portugal            S          Low 2.828227e-01
## 4534                   Mexico            S          Low 6.738238e-01
## 4535            United States            M         High 9.879509e-01
## 4536            United States            M         High 9.996742e-01
## 4537            United States            M         High 6.604326e-01
## 4538            United States            M         High 9.844512e-01
## 4539            United States            M         High 9.989095e-01
## 4540            United States            M          Low 9.961307e-01
## 4541            United States            M         High 9.999765e-01
## 4542            United States            M          Low 9.385592e-01
## 4543            United States            M          Low 8.969507e-01
## 4544            United States            M          Low 7.741503e-01
## 4545            United States            M         High 9.295153e-02
## 4546            United States            M         High 4.454608e-01
## 4547            United States            L         High 8.746729e-01
## 4548            United States            L          Low 9.119685e-01
## 4549            United States            M          Low 9.385592e-01
## 4550            United States            M          Low 6.557318e-01
## 4551            United States            M         High 2.197712e-01
## 4552            United States            M         High 9.624061e-01
## 4553            United States            M         High 9.953718e-01
## 4554            United States            M          Low 9.512061e-01
## 4555            United States            M         High 7.480174e-01
## 4556            United States            M         High 9.591944e-01
## 4557            United States            M         High 3.885688e-01
## 4558            United States            M         High 7.051030e-01
## 4559            United States            M         High 5.081194e-01
## 4560            United States            M          Low 9.949350e-01
## 4561            United States            M         High 4.118738e-02
## 4562            United States            M         High 2.150259e-01
## 4563            United States            M         High 4.118738e-02
## 4564            United States            M         High 2.150259e-01
## 4565            United States            M         High 9.861891e-01
## 4566            United States            M          Low 9.953574e-01
## 4567            United States            M         High 1.206142e-02
## 4568            United States            M         High 9.295153e-02
## 4569            United States            M         High 4.118738e-02
## 4570            United States            M         High 2.150259e-01
## 4571            United States            M         High 1.206142e-02
## 4572            United States            M         High 1.519159e-01
## 4573            United States            M         High 9.442978e-01
## 4574            United States            M          Low 9.983686e-01
## 4575            United States            M         High 4.403236e-02
## 4576            United States            M         High 6.604326e-01
## 4577            United States            M         High 4.404131e-01
## 4578            United States            M         High 8.913819e-01
## 4579            United States            L         High 9.583441e-02
## 4580            United States            L         High 9.991635e-01
## 4581            United States            M         High 4.118738e-02
## 4582            United States            M         High 3.260623e-01
## 4583            United States            M         High 2.150259e-01
## 4584            United States            M         High 7.601328e-01
## 4585           United Kingdom            M          Low 5.608233e-02
## 4586           United Kingdom            M          Low 2.502084e-01
## 4587            United States            M         High 9.949503e-01
## 4588            United States            M          Low 9.342832e-01
## 4589            United States            M         High 8.404883e-01
## 4590            United States            M         High 9.276397e-01
## 4591            United States            M         High 1.206142e-02
## 4592            United States            M         High 1.519159e-01
## 4593                  Germany            L          Low 3.772018e-01
## 4594                   Israel            S          Low 9.574692e-01
## 4595            United States            M         High 7.806945e-01
## 4596            United States            M         High 9.624061e-01
## 4597            United States            M         High 8.913819e-01
## 4598            United States            M         High 9.997773e-01
## 4599            United States            M         High 4.762059e-01
## 4600            United States            M         High 9.952895e-01
## 4601            United States            M         High 2.136998e-01
## 4602            United States            M         High 6.874121e-01
## 4603            United States            M         High 8.606973e-01
## 4604            United States            M         High 9.989095e-01
## 4605            United States            M         High 9.347948e-01
## 4606            United States            M          Low 9.879238e-01
## 4607            United States            L         High 7.293893e-01
## 4608            United States            L          Low 9.968132e-01
## 4609            United States            M         High 9.347948e-01
## 4610            United States            M          Low 9.879238e-01
## 4611            United States            M         High 6.604326e-01
## 4612            United States            M         High 9.844512e-01
## 4613            United States            M          Low 9.986003e-01
## 4614            United States            M          Low 7.900263e-01
## 4615            United States            M          Low 8.573037e-01
## 4616            United States            M          Low 6.557318e-01
## 4617            United States            M         High 4.055692e-01
## 4618            United States            M         High 9.906392e-01
## 4619            United States            M         High 8.639376e-01
## 4620            United States            M          Low 9.859915e-01
## 4621                   Canada            M          Low 8.000998e-01
## 4622                   Canada            M          Low 6.827922e-01
## 4623                   Turkey            S          Low 2.353240e-01
## 4624            United States            L         High 1.315857e-01
## 4625           United Kingdom            M          Low 9.540655e-02
## 4626           United Kingdom            M          Low 2.912477e-01
## 4627            United States            M         High 6.334057e-01
## 4628            United States            M         High 9.999648e-01
## 4629            United States            M         High 9.976079e-01
## 4630            United States            M          Low 9.332675e-01
## 4631            United States            M         High 7.041363e-03
## 4632            United States            M         High 5.219219e-01
## 4633            United States            M         High 2.077401e-01
## 4634            United States            M         High 9.234286e-01
## 4635            United States            M         High 5.682427e-01
## 4636            United States            M         High 9.975825e-01
## 4637            United States            M         High 7.311002e-01
## 4638            United States            M         High 9.953718e-01
## 4639            United States            M         High 5.682427e-01
## 4640            United States            M         High 9.975825e-01
## 4641            United States            M         High 2.327317e-02
## 4642            United States            M         High 6.173808e-01
## 4643            United States            S          Low 8.883857e-01
## 4644                  Nigeria            S          Low 3.842188e-01
## 4645            United States            M         High 6.909709e-01
## 4646            United States            M          Low 9.987753e-01
## 4647            United States            M         High 5.589563e-01
## 4648            United States            M         High 9.998241e-01
## 4649            United States            L         High 8.263115e-01
## 4650             Saudi Arabia            M          Low 8.225543e-01
## 4651                  Germany            L          Low 5.084929e-01
## 4652            United States            M          Low 8.225543e-01
## 4653            United States            M          Low 7.765599e-01
## 4654            United States            M         High 9.989095e-01
## 4655            United States            M          Low 9.987416e-01
## 4656            United States            M         High 7.370615e-01
## 4657            United States            M         High 9.999358e-01
## 4658            United States            M         High 8.639376e-01
## 4659            United States            M          Low 9.912530e-01
## 4660            United States            M         High 8.263115e-01
## 4661            United States            M         High 9.989095e-01
## 4662            United States            M         High 8.639376e-01
## 4663            United States            M          Low 9.993481e-01
## 4664            United States            M         High 9.537220e-01
## 4665            United States            M          Low 9.718442e-01
## 4666            United States            M         High 9.321614e-01
## 4667            United States            M         High 9.999743e-01
## 4668            United States            L         High 9.591944e-01
## 4669            United States            L          Low 7.402998e-01
## 4670            United States            M         High 9.930114e-01
## 4671            United States            M          Low 9.903533e-01
## 4672            United States            M         High 8.639376e-01
## 4673            United States            M          Low 9.993481e-01
## 4674            United States            M         High 4.762059e-01
## 4675            United States            M          Low 9.912530e-01
## 4676            United States            M         High 8.263115e-01
## 4677            United States            M         High 9.918818e-01
## 4678            United States            M         High 7.370615e-01
## 4679            United States            M         High 9.999358e-01
## 4680            United States            M         High 9.417293e-01
## 4681            United States            M          Low 9.925531e-01
## 4682            United States            M         High 1.337345e-01
## 4683            United States            M         High 5.209999e-01
## 4684            United States            M          Low 9.885274e-01
## 4685            United States            M          Low 7.561921e-01
## 4686            United States            M          Low 7.436734e-01
## 4687            United States            M          Low 4.942249e-01
## 4688            United States            M         High 7.041363e-03
## 4689            United States            M         High 8.913819e-01
## 4690                 Colombia            M          Low 6.738238e-01
## 4691                 Colombia            M          Low 5.634352e-01
## 4692            United States            M         High 9.736875e-01
## 4693            United States            M          Low 9.987416e-01
## 4694            United States            M          Low 8.506363e-01
## 4695            United States            M          Low 7.594938e-01
## 4696            United States            M         High 8.263115e-01
## 4697            United States            M         High 9.991661e-01
## 4698            United States            M         High 8.263115e-01
## 4699            United States            M         High 9.844512e-01
## 4700            United States            M          Low 9.668757e-01
## 4701            United States            M          Low 8.533207e-01
## 4702            United States            M         High 9.999765e-01
## 4703            United States            M          Low 8.225543e-01
## 4704                   Canada            M         High 9.407075e-01
## 4705                   Canada            M          Low 9.834994e-01
## 4706            United States            M          Low 9.912554e-01
## 4707            United States            M          Low 6.729960e-01
## 4708            United States            M          Low 7.436734e-01
## 4709            United States            M          Low 5.634352e-01
## 4710            United States            M         High 9.945041e-01
## 4711            United States            M          Low 9.228683e-01
## 4712            United States            L         High 8.746729e-01
## 4713            United States            L          Low 9.119685e-01
## 4714                Australia            L          Low 3.422562e-05
## 4715            United States            L          Low 5.634352e-01
## 4716            United States            M         High 9.561671e-01
## 4717            United States            M          Low 9.903533e-01
## 4718            United States            M         High 9.999765e-01
## 4719            United States            M          Low 9.385592e-01
## 4720            United States            M         High 6.604326e-01
## 4721            United States            M         High 9.844512e-01
## 4722            United States            M         High 8.913819e-01
## 4723            United States            M         High 9.918818e-01
## 4724            United States            M         High 9.844512e-01
## 4725            United States            M         High 9.989095e-01
## 4726            United States            M         High 4.316046e-01
## 4727            United States            M         High 9.989095e-01
## 4728            United States            M          Low 9.638679e-01
## 4729            United States            M          Low 7.678404e-01
## 4730            United States            M          Low 9.748831e-01
## 4731            United States            M          Low 7.266652e-01
## 4732            United States            M         High 9.991890e-01
## 4733            United States            M          Low 9.155231e-01
## 4734            United States            L         High 9.583441e-02
## 4735            United States            L         High 9.991635e-01
## 4736            United States            M         High 9.998241e-01
## 4737            United States            M          Low 8.997256e-01
## 4738            United States            M         High 5.726952e-03
## 4739            United States            M         High 9.052486e-01
## 4740            United States            L         High 3.885688e-01
## 4741            United States            L          Low 9.968132e-01
## 4742            United States            M         High 5.682427e-01
## 4743            United States            M         High 9.522892e-01
## 4744            United States            L          Low 2.353240e-01
## 4745            United States            M         High 8.263115e-01
## 4746            United States            M         High 9.407075e-01
## 4747            United States            M          Low 8.573037e-01
## 4748            United States            M          Low 6.557318e-01
## 4749            United States            M         High 9.180998e-01
## 4750            United States            M          Low 9.696974e-01
## 4751            United States            M         High 7.806945e-01
## 4752            United States            M         High 9.624061e-01
## 4753            United States            M         High 8.913819e-01
## 4754            United States            M         High 9.989095e-01
## 4755            United States            M          Low 7.436734e-01
## 4756            United States            M          Low 6.557318e-01
## 4757            United States            L         High 9.591944e-01
## 4758            United States            L          Low 7.402998e-01
## 4759           United Kingdom            M          Low 2.502084e-01
## 4760           United Kingdom            M          Low 2.833853e-01
## 4761            United States            M         High 3.359771e-01
## 4762            United States            M         High 9.790810e-01
## 4763            United States            M         High 5.219219e-01
## 4764            United States            M         High 9.591944e-01
## 4765            United States            M         High 4.989552e-01
## 4766            United States            M         High 9.889925e-01
## 4767            United States            L         High 7.293893e-01
## 4768            United States            L          Low 9.968132e-01
## 4769            United States            M          Low 5.237885e-01
## 4770            United States            M          Low 4.778566e-01
## 4771            United States            M          Low 5.263728e-01
## 4772            United States            M         High 7.041363e-03
## 4773            United States            M         High 8.913819e-01
## 4774            United States            M         High 9.130823e-01
## 4775            United States            M          Low 9.748831e-01
## 4776            United States            L         High 8.746729e-01
## 4777            United States            L          Low 9.119685e-01
## 4778            United States            M          Low 9.961307e-01
## 4779            United States            M          Low 9.574692e-01
## 4780            United States            M         High 1.232475e-01
## 4781            United States            M         High 9.447325e-01
## 4782            United States            M          Low 6.098248e-01
## 4783            United States            M          Low 5.171519e-01
## 4784            United States            M         High 7.480174e-01
## 4785            United States            M         High 9.918818e-01
## 4786            United States            L         High 9.591944e-01
## 4787            United States            L          Low 7.402998e-01
## 4788            United States            M          Low 9.385592e-01
## 4789            United States            M          Low 7.005497e-01
## 4790            United States            M         High 9.999765e-01
## 4791            United States            M          Low 8.438247e-01
## 4792            United States            L         High 9.407075e-01
## 4793                   Poland            L          Low 2.609610e-73
## 4794            United States            M         High 8.639376e-01
## 4795            United States            M          Low 9.993481e-01
## 4796            United States            M         High 8.639376e-01
## 4797            United States            M          Low 9.859915e-01
## 4798            United States            M         High 7.806945e-01
## 4799            United States            M         High 9.624061e-01
## 4800            United States            M          Low 9.986003e-01
## 4801            United States            M          Low 7.900263e-01
## 4802            United States            M          Low 8.883857e-01
## 4803            United States            M          Low 9.896058e-01
## 4804            United States            M          Low 7.381840e-01
## 4805           United Kingdom            M          Low 2.502084e-01
## 4806           United Kingdom            M          Low 2.694249e-01
## 4807            United States            M         High 9.561671e-01
## 4808            United States            M          Low 9.903533e-01
## 4809            United States            M         High 9.861891e-01
## 4810            United States            M          Low 9.953574e-01
## 4811            United States            M         High 9.998241e-01
## 4812            United States            M          Low 9.834994e-01
## 4813            United States            L         High 9.591944e-01
## 4814            United States            L          Low 7.402998e-01
## 4815            United States            M         High 9.210312e-01
## 4816            United States            M          Low 9.937116e-01
## 4817            United States            M         High 2.836658e-01
## 4818            United States            M         High 9.677888e-01
## 4819                Australia            M         High 9.964950e-01
## 4820                Australia            M          Low 9.994106e-01
## 4821           United Kingdom            M         High 7.990526e-01
## 4822           United Kingdom            M          Low 9.993976e-01
## 4823            United States            M          Low 9.820160e-01
## 4824            United States            M          Low 6.432999e-01
## 4825            United States            M         High 8.671405e-01
## 4826            United States            M         High 9.983757e-01
## 4827            United States            M         High 8.639376e-01
## 4828            United States            M          Low 9.993481e-01
## 4829            United States            M         High 9.561671e-01
## 4830            United States            M          Low 9.903533e-01
## 4831            United States            M         High 8.913819e-01
## 4832            United States            M          Low 8.883857e-01
## 4833            United States            L         High 3.885688e-01
## 4834            United States            L          Low 9.968132e-01
## 4835            United States            M         High 9.844512e-01
## 4836            United States            M         High 9.999660e-01
## 4837            United States            M         High 6.909709e-01
## 4838            United States            M          Low 9.987753e-01
## 4839            United States            M          Low 9.961307e-01
## 4840            United States            M          Low 8.573037e-01
## 4841            United States            L         High 1.922068e-01
## 4842            United States            L         High 9.999508e-01
## 4843            United States            M         High 6.852721e-01
## 4844            United States            M         High 9.047134e-01
## 4845            United States            M         High 9.985699e-01
## 4846            United States            M          Low 9.987416e-01
## 4847            United States            M         High 7.396033e-01
## 4848            United States            M         High 9.591944e-01
## 4849            United States            M         High 8.263115e-01
## 4850            United States            M         High 9.772926e-01
## 4851            United States            M         High 9.736875e-01
## 4852            United States            M         High 9.999765e-01
## 4853           United Kingdom            M         High 9.998671e-01
## 4854           United Kingdom            M          Low 9.481472e-01
## 4855            United States            M         High 9.989095e-01
## 4856            United States            M          Low 9.987416e-01
## 4857           United Kingdom            M          Low 2.007518e-01
## 4858           United Kingdom            M          Low 2.268724e-01
## 4859            United States            M         High 4.118738e-02
## 4860            United States            M         High 3.260623e-01
## 4861            United States            M         High 2.077401e-01
## 4862            United States            M         High 8.606973e-01
## 4863            United States            M          Low 8.225543e-01
## 4864            United States            M          Low 9.732639e-01
## 4865            United States            M          Low 6.952492e-01
## 4866            United States            M         High 9.998604e-01
## 4867            United States            M          Low 8.506363e-01
## 4868            United States            M         High 5.923847e-01
## 4869            United States            M         High 9.993731e-01
## 4870            United States            M         High 7.051030e-01
## 4871            United States            M         High 9.996765e-01
## 4872            United States            M         High 9.321614e-01
## 4873            United States            M         High 9.971324e-01
## 4874            United States            M         High 9.999765e-01
## 4875            United States            M          Low 9.990515e-01
## 4876            United States            L         High 3.885688e-01
## 4877            United States            L          Low 9.968132e-01
## 4878            United States            L         High 9.583441e-02
## 4879            United States            L         High 9.991635e-01
## 4880            United States            M         High 3.316645e-01
## 4881            United States            M         High 8.606973e-01
## 4882            United States            M         High 9.999206e-01
## 4883            United States            M          Low 8.276267e-01
## 4884            United States            M          Low 9.574692e-01
## 4885            United States            M          Low 6.738238e-01
## 4886            United States            M         High 9.930114e-01
## 4887            United States            M          Low 9.410453e-01
## 4888           United Kingdom            M          Low 2.694249e-01
## 4889           United Kingdom            M          Low 2.694249e-01
## 4890            United States            L         High 9.591944e-01
## 4891            United States            L          Low 7.402998e-01
## 4892            United States            M         High 9.964950e-01
## 4893            United States            M          Low 9.990515e-01
## 4894           United Kingdom            L         High 1.434872e-03
## 4895            United States            S         High 5.682427e-01
## 4896            United States            S          Low 9.993040e-01
## 4897            United States            S         High 9.736875e-01
## 4898            United States            S          Low 9.155231e-01
## 4899            United States            M          Low 7.436734e-01
## 4900            United States            M          Low 5.634352e-01
## 4901            United States            M         High 3.238970e-01
## 4902            United States            M         High 9.736875e-01
## 4903            United States            M         High 9.997382e-01
## 4904            United States            M          Low 9.597986e-01
## 4905            United States            M         High 9.996609e-01
## 4906            United States            M          Low 9.935172e-01
## 4907           United Kingdom            M          Low 9.223901e-01
## 4908           United Kingdom            M          Low 7.586699e-01
## 4909           United Kingdom            M          Low 9.955196e-01
## 4910           United Kingdom            M          Low 9.062206e-01
## 4911            United States            M          Low 9.385592e-01
## 4912            United States            M          Low 8.472484e-01
## 4913            United States            M         High 8.390954e-01
## 4914            United States            M         High 9.999727e-01
## 4915            United States            M         High 5.682427e-01
## 4916            United States            M         High 9.736875e-01
## 4917            United States            M         High 3.086540e-01
## 4918            United States            M         High 7.480174e-01
## 4919            United States            M         High 9.205467e-01
## 4920            United States            M          Low 9.591364e-01
## 4921            United States            M         High 7.051030e-01
## 4922            United States            M         High 9.996765e-01
## 4923           United Kingdom            M          Low 9.987416e-01
## 4924           United Kingdom            M          Low 8.883857e-01
## 4925            United States            M         High 9.248472e-01
## 4926            United States            M          Low 9.715812e-01
## 4927                   France            M         High 7.051030e-01
## 4928                   France            M         High 8.970492e-01
## 4929            United States            M          Low 4.715285e-01
## 4930            United States            M          Low 3.842188e-01
## 4931            United States            M         High 9.561671e-01
## 4932            United States            M          Low 9.903533e-01
## 4933            United States            M          Low 9.723657e-01
## 4934            United States            M          Low 8.573037e-01
## 4935           United Kingdom            M          Low 1.457745e-01
## 4936           United Kingdom            M          Low 2.912477e-01
## 4937            United States            M         High 7.051030e-01
## 4938            United States            M         High 9.996765e-01
## 4939           United Kingdom            L         High 3.235778e-20
## 4940                    Spain            L          Low 3.751500e-01
## 4941            United States            M         High 9.998241e-01
## 4942            United States            M          Low 8.883857e-01
## 4943            United States            M          Low 7.845206e-01
## 4944            United States            M          Low 6.098248e-01
## 4945            United States            M         High 2.380078e-01
## 4946            United States            M         High 9.939352e-01
## 4947            United States            M         High 8.913819e-01
## 4948            United States            M          Low 9.723657e-01
## 4949            United States            L         High 9.591944e-01
## 4950            United States            L          Low 7.402998e-01
## 4951            United States            M         High 9.999699e-01
## 4952            United States            M          Low 9.536594e-01
## 4953            United States            M         High 5.682427e-01
## 4954            United States            M         High 9.736875e-01
## 4955            United States            M         High 9.964950e-01
## 4956            United States            M         High 9.997773e-01
## 4957            United States            M         High 9.964950e-01
## 4958            United States            M         High 9.997773e-01
## 4959            United States            M         High 2.761916e-01
## 4960            United States            M         High 8.936680e-01
## 4961            United States            M          Low 7.725385e-01
## 4962            United States            M          Low 4.942249e-01
## 4963                   Canada            M          Low 9.987416e-01
## 4964                   Canada            M          Low 7.136918e-01
## 4965                    Spain            M          Low 4.304619e-01
## 4966                    Spain            M          Low 3.595247e-01
## 4967            United States            M         High 1.077741e-01
## 4968            United States            M         High 8.671405e-01
## 4969            United States            M         High 8.639376e-01
## 4970            United States            M          Low 9.993481e-01
## 4971            United States            M         High 9.561671e-01
## 4972            United States            M          Low 9.903533e-01
## 4973            United States            M          Low 9.968132e-01
## 4974            United States            M          Low 9.104205e-01
## 4975            United States            M          Low 9.574692e-01
## 4976            United States            M          Low 7.561921e-01
## 4977           United Kingdom            L         High 2.386533e-01
## 4978            United States            M         High 4.762059e-01
## 4979            United States            M         High 9.736875e-01
## 4980            United States            M          Low 8.883857e-01
## 4981            United States            M          Low 6.557318e-01
## 4982            United States            M          Low 8.883857e-01
## 4983            United States            M          Low 6.557318e-01
## 4984            United States            M         High 5.682427e-01
## 4985            United States            M         High 9.995910e-01
## 4986            United States            L         High 7.293893e-01
## 4987            United States            L          Low 9.968132e-01
## 4988            United States            M         High 8.639376e-01
## 4989            United States            M          Low 9.993481e-01
## 4990            United States            M          Low 9.989648e-01
## 4991            United States            M          Low 9.368687e-01
## 4992            United States            M         High 2.517942e-01
## 4993            United States            M         High 9.877971e-01
## 4994            United States            M          Low 9.385592e-01
## 4995            United States            M          Low 8.573037e-01
## 4996            United States            M         High 1.114950e-01
## 4997            United States            M         High 9.989095e-01
## 4998            United States            M         High 9.844512e-01
## 4999            United States            M          Low 9.834994e-01
## 5000           United Kingdom            M         High 9.998241e-01
## 5001           United Kingdom            M          Low 9.723657e-01
## 5002            United States            M          Low 7.845206e-01
## 5003            United States            M          Low 7.436734e-01
## 5004            United States            M          Low 2.618164e-01
## 5005           United Kingdom            M         High 9.962156e-01
## 5006           United Kingdom            M          Low 9.874580e-01
## 5007            United States            L         High 3.885688e-01
## 5008            United States            L          Low 9.968132e-01
## 5009            United States            M         High 3.970313e-01
## 5010            United States            M          Low 9.982648e-01
## 5011            United States            M         High 9.561671e-01
## 5012            United States            M          Low 9.903533e-01
## 5013            United States            M         High 2.836658e-01
## 5014            United States            M         High 9.677888e-01
## 5015            United States            M         High 9.321614e-01
## 5016            United States            M         High 9.784212e-01
## 5017            United States            M         High 7.645606e-01
## 5018            United States            M          Low 7.845206e-01
## 5019            United States            M          Low 9.935172e-01
## 5020            United States            M          Low 6.693193e-01
## 5021            United States            M         High 4.582049e-01
## 5022            United States            M          Low 9.899501e-01
## 5023            United States            M         High 7.882049e-01
## 5024            United States            M          Low 9.507653e-01
## 5025            United States            L         High 3.885688e-01
## 5026            United States            L          Low 9.968132e-01
## 5027            United States            M         High 7.645606e-01
## 5028            United States            M          Low 7.845206e-01
## 5029            United States            M          Low 9.912530e-01
## 5030            United States            M          Low 7.845206e-01
## 5031            United States            M         High 4.762059e-01
## 5032            United States            M         High 8.913819e-01
## 5033            United States            M         High 7.480174e-01
## 5034            United States            M         High 9.918818e-01
## 5035            United States            M         High 9.997773e-01
## 5036            United States            M          Low 9.574692e-01
## 5037            United States            M         High 9.624061e-01
## 5038            United States            M          Low 9.794758e-01
## 5039            United States            M          Low 7.005497e-01
## 5040            United States            M          Low 6.098248e-01
## 5041            United States            M         High 9.936368e-01
## 5042            United States            M          Low 8.276267e-01
## 5043            United States            M         High 9.561671e-01
## 5044            United States            M          Low 9.903533e-01
## 5045                   Canada            M         High 4.055692e-01
## 5046                   Canada            M         High 9.407075e-01
## 5047            United States            M         High 9.930114e-01
## 5048            United States            M          Low 9.410453e-01
## 5049            United States            M          Low 7.436734e-01
## 5050            United States            M          Low 6.557318e-01
## 5051            United States            M          Low 9.971249e-01
## 5052            United States            M          Low 8.935393e-01
## 5053            United States            M         High 8.913819e-01
## 5054            United States            M         High 9.999765e-01
## 5055            United States            L         High 8.746729e-01
## 5056            United States            L          Low 9.119685e-01
## 5057            United States            M         High 2.702265e-01
## 5058            United States            M         High 9.639523e-01
## 5059            United States            M         High 9.936368e-01
## 5060            United States            M          Low 9.165238e-01
## 5061            United States            M         High 5.682427e-01
## 5062            United States            M         High 9.999765e-01
## 5063            United States            M          Low 9.912530e-01
## 5064            United States            M          Low 9.723657e-01
## 5065            United States            L          Low 8.438247e-01
## 5066            United States            M         High 4.934731e-01
## 5067            United States            M         High 9.998534e-01
## 5068            United States            M         High 9.805707e-01
## 5069            United States            M          Low 9.668757e-01
## 5070            United States            M          Low 9.732639e-01
## 5071            United States            M          Low 6.952492e-01
## 5072            United States            M         High 9.407075e-01
## 5073            United States            M          Low 9.723657e-01
## 5074           United Kingdom            M         High 5.923847e-01
## 5075           United Kingdom            M          Low 9.943675e-01
## 5076            United States            M         High 4.934731e-01
## 5077            United States            M         High 9.998534e-01
## 5078            United States            M         High 9.918818e-01
## 5079            United States            M          Low 9.834994e-01
## 5080            United States            M          Low 9.155231e-01
## 5081            United States            M          Low 8.225543e-01
## 5082            United States            M         High 7.270040e-02
## 5083            United States            M         High 9.909861e-01
## 5084            United States            M         High 9.918818e-01
## 5085            United States            M          Low 9.834994e-01
## 5086            United States            M         High 9.992619e-01
## 5087            United States            M          Low 9.813675e-01
## 5088            United States            L         High 7.293893e-01
## 5089            United States            L          Low 9.968132e-01
## 5090            United States            M         High 9.957694e-01
## 5091            United States            M          Low 9.885274e-01
## 5092                    Spain            M          Low 6.426957e-01
## 5093                    Spain            M          Low 5.599939e-01
## 5094            United States            M         High 3.814941e-02
## 5095            United States            M         High 9.724114e-01
## 5096            United States            M         High 5.411397e-01
## 5097            United States            M         High 9.918283e-01
## 5098            United States            M         High 4.934731e-01
## 5099            United States            M         High 9.998534e-01
## 5100           United Kingdom            M          Low 1.732619e-01
## 5101           United Kingdom            M          Low 2.413260e-01
## 5102            United States            M         High 7.051030e-01
## 5103            United States            M         High 9.996765e-01
## 5104            United States            M         High 4.107268e-01
## 5105            United States            M         High 8.219532e-01
## 5106            United States            M          Low 6.098248e-01
## 5107            United States            M          Low 4.715285e-01
## 5108            United States            M         High 1.640711e-01
## 5109            United States            M         High 9.736875e-01
## 5110            United States            M         High 3.885688e-01
## 5111            United States            M         High 9.321614e-01
## 5112            United States            M         High 9.918818e-01
## 5113            United States            M          Low 9.834994e-01
## 5114            United States            L          Low 8.824777e-01
## 5115            United States            M          Low 9.912530e-01
## 5116            United States            M          Low 8.883857e-01
## 5117            United States            M         High 6.330383e-01
## 5118            United States            M         High 9.957694e-01
## 5119            United States            M         High 9.588645e-01
## 5120            United States            M          Low 9.879238e-01
## 5121            United States            M          Low 9.155231e-01
## 5122            United States            M          Low 7.436734e-01
## 5123            United States            M         High 9.989095e-01
## 5124            United States            M          Low 5.171519e-01
## 5125            United States            M         High 5.589563e-01
## 5126            United States            M         High 9.976871e-01
## 5127            United States            M          Low 9.723657e-01
## 5128            United States            M          Low 8.225543e-01
## 5129            United States            M         High 7.645606e-01
## 5130            United States            M          Low 9.668757e-01
## 5131            United States            M         High 8.263115e-01
## 5132            United States            M         High 9.940326e-01
## 5133            United States            M         High 9.058538e-02
## 5134            United States            M         High 9.979159e-01
## 5135           United Kingdom            M          Low 2.928437e-01
## 5136           United Kingdom            M          Low 2.871634e-01
## 5137            United States            M         High 3.991588e-01
## 5138            United States            M         High 9.591944e-01
## 5139            United States            M         High 7.051030e-01
## 5140            United States            M         High 9.997773e-01
## 5141            United States            M         High 6.909709e-01
## 5142            United States            M          Low 9.987753e-01
## 5143                    Spain            M          Low 4.304619e-01
## 5144                    Spain            M          Low 3.595247e-01
## 5145            United States            M         High 9.407075e-01
## 5146            United States            M         High 9.964950e-01
## 5147            United States            M         High 9.844512e-01
## 5148            United States            M         High 9.989095e-01
## 5149            United States            M         High 4.989552e-01
## 5150            United States            M         High 9.889925e-01
## 5151            United States            M         High 4.989552e-01
## 5152            United States            M         High 9.889925e-01
## 5153            United States            M         High 9.999126e-01
## 5154            United States            M          Low 9.242927e-01
## 5155                   Canada            M          Low 9.987416e-01
## 5156                   Canada            M          Low 7.136918e-01
## 5157            United States            M         High 9.659036e-01
## 5158            United States            M          Low 9.503962e-01
## 5159            United States            M         High 9.999765e-01
## 5160            United States            M          Low 9.723657e-01
## 5161            United States            M          Low 9.155231e-01
## 5162            United States            M          Low 8.573037e-01
## 5163            United States            M         High 1.077741e-01
## 5164            United States            M         High 8.671405e-01
## 5165            United States            M         High 9.989095e-01
## 5166            United States            M          Low 9.961307e-01
## 5167           United Kingdom            M          Low 1.195016e-01
## 5168           United Kingdom            M          Low 1.732619e-01
## 5169            United States            M          Low 9.853060e-01
## 5170            United States            M          Low 7.954753e-01
## 5171            United States            M         High 6.352420e-01
## 5172            United States            M         High 9.927062e-01
## 5173            United States            M          Low 9.968132e-01
## 5174            United States            M          Low 9.104205e-01
## 5175            United States            M         High 9.561671e-01
## 5176            United States            M          Low 9.903533e-01
## 5177            United States            M         High 9.940326e-01
## 5178            United States            M          Low 9.912530e-01
## 5179            United States            M         High 9.561671e-01
## 5180            United States            M          Low 9.903533e-01
## 5181            United States            M         High 9.979350e-01
## 5182            United States            M          Low 9.912530e-01
## 5183            United States            M         High 5.649920e-01
## 5184            United States            M         High 9.848094e-01
## 5185            United States            M         High 4.989552e-01
## 5186            United States            M         High 9.889925e-01
## 5187            United States            M         High 9.998923e-01
## 5188            United States            M          Low 9.607635e-01
## 5189            United States            M         High 9.940326e-01
## 5190            United States            M          Low 9.912530e-01
## 5191            United States            M         High 9.999126e-01
## 5192            United States            M          Low 9.275585e-01
## 5193           United Kingdom            M          Low 8.513096e-01
## 5194           United Kingdom            M          Low 6.774179e-01
## 5195            United States            M         High 9.784212e-01
## 5196            United States            M         High 9.999621e-01
## 5197            United States            M         High 9.321614e-01
## 5198            United States            M         High 9.971324e-01
## 5199            United States            M         High 6.312005e-01
## 5200            United States            M          Low 9.987416e-01
## 5201            United States            M         High 9.229524e-01
## 5202            United States            M         High 9.985699e-01
## 5203            United States            M         High 7.051030e-01
## 5204            United States            M         High 9.996765e-01
## 5205            United States            M         High 8.263115e-01
## 5206            United States            M         High 9.989095e-01
## 5207            United States            M         High 9.999126e-01
## 5208            United States            M          Low 9.275585e-01
## 5209            United States            M         High 9.561671e-01
## 5210            United States            M          Low 9.903533e-01
## 5211            United States            M         High 9.997773e-01
## 5212            United States            M          Low 9.723657e-01
## 5213            United States            M         High 8.541058e-01
## 5214            United States            M          Low 9.912530e-01
## 5215            United States            M         High 9.999126e-01
## 5216            United States            M          Low 9.275585e-01
## 5217           United Kingdom            M         High 9.998671e-01
## 5218           United Kingdom            M          Low 9.481472e-01
## 5219            United States            M         High 5.589563e-01
## 5220            United States            M         High 9.998241e-01
## 5221            United States            M         High 9.205467e-01
## 5222            United States            M          Low 9.591364e-01
## 5223            United States            M          Low 9.385592e-01
## 5224            United States            M          Low 6.557318e-01
## 5225            United States            M         High 8.970492e-01
## 5226            United States            M         High 9.997773e-01
## 5227            United States            M         High 8.913819e-01
## 5228            United States            M         High 9.918818e-01
## 5229            United States            M         High 9.999767e-01
## 5230            United States            M          Low 9.726139e-01
## 5231            United States            M         High 4.492811e-01
## 5232            United States            M         High 9.940326e-01
## 5233            United States            M         High 8.913819e-01
## 5234            United States            M         High 9.918818e-01
## 5235            United States            M         High 9.561671e-01
## 5236            United States            M          Low 9.903533e-01
## 5237            United States            M         High 9.770626e-01
## 5238            United States            M          Low 9.994835e-01
## 5239            United States            M         High 4.316046e-01
## 5240            United States            M         High 9.930114e-01
## 5241            United States            M         High 9.998241e-01
## 5242            United States            M          Low 8.883857e-01
## 5243            United States            M         High 9.999706e-01
## 5244            United States            M         High 9.996871e-01
## 5245            United States            M         High 9.999706e-01
## 5246            United States            M          Low 9.586736e-01
## 5247            United States            M         High 4.582049e-01
## 5248            United States            M          Low 9.899501e-01
## 5249            United States            M         High 9.268546e-01
## 5250            United States            M          Low 9.622881e-01
## 5251            United States            M         High 4.762059e-01
## 5252            United States            M          Low 9.834994e-01
## 5253            United States            M         High 9.998604e-01
## 5254            United States            M          Low 8.506363e-01
## 5255           United Kingdom            M         High 5.509903e-07
## 5256           United Kingdom            M         High 1.145092e-04
## 5257           United Kingdom            M          Low 2.953021e-02
## 5258           United Kingdom            M          Low 9.540655e-02
## 5259            United States            L         High 3.885688e-01
## 5260            United States            L          Low 9.968132e-01
## 5261            United States            M         High 4.493179e-02
## 5262            United States            M         High 3.116710e-01
## 5263            United States            M         High 4.716877e-01
## 5264            United States            M         High 9.990564e-01
## 5265            United States            M          Low 9.574692e-01
## 5266            United States            M          Low 9.155231e-01
## 5267            United States            M         High 4.762059e-01
## 5268            United States            M         High 9.918818e-01
## 5269            United States            M         High 8.981635e-01
## 5270            United States            M          Low 9.165238e-01
## 5271            United States            M          Low 8.508721e-01
## 5272            United States            M          Low 5.441357e-01
## 5273            United States            L         High 7.293893e-01
## 5274            United States            L          Low 9.968132e-01
## 5275            United States            M          Low 9.525863e-01
## 5276            United States            M          Low 5.634352e-01
## 5277            United States            M         High 9.999765e-01
## 5278            United States            M          Low 9.912530e-01
## 5279            United States            M         High 4.228590e-01
## 5280            United States            M         High 9.989095e-01
## 5281            United States            M         High 9.736875e-01
## 5282            United States            M         High 9.964950e-01
## 5283            United States            M          Low 9.607635e-01
## 5284            United States            M          Low 7.266652e-01
## 5285           United Kingdom            M         High 5.219219e-01
## 5286           United Kingdom            M         High 8.263115e-01
## 5287            United States            M          Low 9.605510e-01
## 5288            United States            M          Low 7.575642e-01
## 5289            United States            M         High 2.185480e-01
## 5290            United States            M         High 9.455177e-01
## 5291            United States            M         High 7.480174e-01
## 5292            United States            M         High 9.999765e-01
## 5293            United States            M         High 9.321614e-01
## 5294            United States            M         High 9.971324e-01
## 5295                    Ghana            S          Low 3.513513e-01
## 5296            United States            M         High 8.564957e-01
## 5297            United States            M          Low 9.994304e-01
## 5298            United States            M         High 9.267155e-01
## 5299            United States            M         High 9.996765e-01
## 5300            United States            M         High 9.130823e-01
## 5301            United States            M          Low 9.748831e-01
## 5302                Argentina            M          Low 6.738238e-01
## 5303                Argentina            M          Low 4.535789e-01
## 5304            United States            M         High 9.964950e-01
## 5305            United States            M          Low 9.938193e-01
## 5306                   Canada            M         High 5.311549e-01
## 5307                   Canada            M         High 9.079007e-01
## 5308            United States            M         High 4.772271e-02
## 5309            United States            M         High 8.190213e-01
## 5310            United States            M         High 5.960948e-01
## 5311            United States            M         High 8.828822e-01
## 5312            United States            M         High 6.694784e-01
## 5313            United States            M         High 8.541058e-01
## 5314            United States            M         High 6.513408e-01
## 5315            United States            M          Low 9.953574e-01
## 5316            United States            M         High 9.631841e-01
## 5317            United States            M         High 9.962156e-01
## 5318            United States            M         High 9.844512e-01
## 5319            United States            M          Low 9.834994e-01
## 5320           United Kingdom            M         High 9.999398e-01
## 5321           United Kingdom            M          Low 9.659990e-01
## 5322            United States            M         High 2.030527e-01
## 5323            United States            M         High 9.998547e-01
## 5324            United States            M         High 1.843636e-01
## 5325            United States            M         High 9.303726e-01
## 5326             Saudi Arabia            S         High 9.736925e-01
## 5327                    India            L          Low 3.433524e-01
## 5328            United States            M         High 6.604326e-01
## 5329            United States            M         High 9.957694e-01
## 5330            United States            L         High 4.055692e-01
## 5331            United States            M         High 7.051030e-01
## 5332            United States            M         High 9.996765e-01
## 5333            United States            M         High 9.407075e-01
## 5334            United States            M         High 9.999765e-01
## 5335            United States            M         High 9.130823e-01
## 5336            United States            M          Low 9.748831e-01
## 5337            United States            M         High 7.563380e-01
## 5338            United States            M          Low 9.990515e-01
## 5339            United States            M         High 6.604326e-01
## 5340            United States            M         High 8.541058e-01
## 5341            United States            M         High 9.321614e-01
## 5342            United States            M         High 9.971324e-01
## 5343                Australia            M         High 1.315857e-01
## 5344                Australia            M         High 3.885688e-01
## 5345            United States            M         High 9.999163e-01
## 5346            United States            M          Low 8.368718e-01
## 5347            United States            M         High 8.913819e-01
## 5348            United States            M          Low 9.987416e-01
## 5349            United States            M          Low 9.385592e-01
## 5350            United States            M          Low 6.557318e-01
## 5351            United States            M         High 2.118403e-01
## 5352            United States            M         High 9.999333e-01
## 5353            United States            L         High 3.760225e-01
## 5354            United States            L          Low 9.957558e-01
## 5355            United States            S          Low 7.701129e-01
## 5356                  Germany            M         High 8.639376e-01
## 5357                  Germany            M          Low 9.993481e-01
## 5358            United States            M         High 9.997773e-01
## 5359            United States            M          Low 9.204611e-01
## 5360            United States            M         High 9.407075e-01
## 5361            United States            M         High 9.989095e-01
## 5362            United States            M         High 2.702265e-01
## 5363            United States            M         High 9.639523e-01
## 5364           United Kingdom            M         High 1.390231e-02
## 5365           United Kingdom            M          Low 5.608233e-02
## 5366            United States            M         High 9.659036e-01
## 5367            United States            M          Low 9.503962e-01
## 5368            United States            L         High 8.746729e-01
## 5369            United States            L          Low 9.119685e-01
## 5370            United States            M         High 7.885974e-01
## 5371            United States            M         High 9.844512e-01
## 5372           United Kingdom            M         High 6.707769e-01
## 5373           United Kingdom            M         High 9.997282e-01
## 5374            United States            M         High 9.979350e-01
## 5375            United States            M          Low 9.912530e-01
## 5376            United States            M          Low 9.987416e-01
## 5377            United States            M          Low 9.574692e-01
## 5378            United States            M          Low 9.971812e-01
## 5379            United States            M          Low 9.354972e-01
## 5380            United States            M         High 7.396033e-01
## 5381            United States            M         High 9.591944e-01
## 5382                 Colombia            M          Low 7.765599e-01
## 5383                 Colombia            M          Low 5.634352e-01
## 5384           United Kingdom            M          Low 2.502084e-01
## 5385           United Kingdom            M          Low 2.833853e-01
## 5386            United States            M          Low 6.557318e-01
## 5387                  Nigeria            M          Low 5.634352e-01
## 5388            United States            M         High 2.322482e-01
## 5389            United States            M         High 9.130823e-01
## 5390            United States            M         High 9.998604e-01
## 5391            United States            M          Low 8.506363e-01
## 5392            United States            M          Low 6.511801e-01
## 5393            United States            M          Low 4.393738e-01
## 5394            United States            M         High 9.591944e-01
## 5395            United States            M         High 9.999765e-01
## 5396            United States            M         High 9.997773e-01
## 5397            United States            M          Low 9.574692e-01
## 5398            United States            M         High 4.404131e-01
## 5399            United States            M         High 8.913819e-01
## 5400            United States            L         High 3.885688e-01
## 5401            United States            L          Low 9.968132e-01
## 5402                   Canada            M         High 2.322482e-01
## 5403                   Canada            M         High 9.710976e-01
## 5404            United States            M         High 2.077401e-01
## 5405            United States            M         High 8.263115e-01
## 5406            United States            M          Low 6.514079e-01
## 5407            United States            M          Low 5.801534e-01
## 5408            United States            M         High 9.321614e-01
## 5409            United States            M         High 9.971324e-01
## 5410            United States            M         High 9.784212e-01
## 5411            United States            M         High 9.999621e-01
## 5412                    Japan            L         High 9.989095e-01
## 5413            United States            M          Low 3.842188e-01
## 5414            United States            M          Low 9.834994e-01
## 5415            United States            M          Low 8.573037e-01
## 5416            United States            M          Low 9.912530e-01
## 5417            United States            M          Low 9.385592e-01
## 5418                    Spain            M          Low 4.304619e-01
## 5419                    Spain            M          Low 3.595247e-01
## 5420            United States            M         High 9.997773e-01
## 5421            United States            M          Low 9.723657e-01
## 5422            United States            M         High 2.185480e-01
## 5423            United States            M         High 9.455177e-01
## 5424                   France            M         High 7.051030e-01
## 5425                   France            M         High 9.940326e-01
## 5426            United States            M          Low 9.987416e-01
## 5427            United States            M          Low 9.155231e-01
## 5428            United States            M          Low 9.912542e-01
## 5429            United States            M          Low 6.729870e-01
## 5430                   Canada            M         High 9.996609e-01
## 5431                   Canada            M          Low 7.436734e-01
## 5432            United States            M         High 8.606973e-01
## 5433            United States            M         High 9.999765e-01
## 5434           United Kingdom            M         High 9.431423e-01
## 5435           United Kingdom            M          Low 9.931897e-01
## 5436            United States            M         High 8.639376e-01
## 5437            United States            M          Low 9.993481e-01
## 5438            United States            M         High 9.999765e-01
## 5439            United States            M          Low 9.912530e-01
## 5440            United States            M          Low 9.723657e-01
## 5441            United States            M          Low 9.723657e-01
## 5442           United Kingdom            M         High 9.892790e-01
## 5443           United Kingdom            M          Low 9.385592e-01
## 5444            United States            L         High 3.885688e-01
## 5445            United States            L          Low 9.968132e-01
## 5446            United States            M          Low 9.385592e-01
## 5447            United States            M          Low 8.225543e-01
## 5448            United States            M          Low 5.634352e-01
## 5449                   Canada            L          Low 7.145450e-03
## 5450           United Kingdom            M          Low 2.900343e-01
## 5451                   Russia            L          Low 5.356160e-01
## 5452           United Kingdom            M          Low 9.723657e-01
## 5453            United States            M         High 9.936368e-01
## 5454            United States            M          Low 8.276267e-01
## 5455            United States            M         High 9.999765e-01
## 5456            United States            M          Low 8.573037e-01
## 5457            United States            M         High 9.985699e-01
## 5458            United States            M          Low 7.845206e-01
## 5459            United States            M         High 5.682427e-01
## 5460            United States            M         High 9.995510e-01
## 5461            United States            L         High 3.885688e-01
## 5462            United States            L          Low 9.968132e-01
## 5463            United States            M         High 2.551480e-01
## 5464            United States            M         High 8.541058e-01
## 5465            United States            M         High 9.964950e-01
## 5466            United States            M         High 9.999765e-01
## 5467            United States            L         High 7.293893e-01
## 5468            United States            L          Low 9.968132e-01
## 5469            United States            M         High 6.007297e-01
## 5470            United States            M         High 9.825796e-01
## 5471           United Kingdom            M         High 9.998241e-01
## 5472           United Kingdom            M          Low 9.723657e-01
## 5473           United Kingdom            M         High 9.881034e-01
## 5474           United Kingdom            M          Low 9.385592e-01
## 5475            United States            L         High 3.885688e-01
## 5476            United States            L          Low 9.968132e-01
## 5477            United States            M         High 9.903103e-01
## 5478            United States            M          Low 9.531247e-01
## 5479                  Nigeria            M          Low 5.634352e-01
## 5480            United States            L          Low 8.883857e-01
## 5481            United States            M         High 1.624807e-03
## 5482            United States            M         High 9.998604e-01
## 5483            United States            M          Low 7.005497e-01
## 5484            United States            M         High 9.998604e-01
## 5485            United States            M          Low 7.005497e-01
## 5486            United States            M         High 9.999765e-01
## 5487            United States            M          Low 8.883857e-01
## 5488            United States            M          Low 5.820106e-01
## 5489            United States            M          Low 5.171519e-01
## 5490            United States            M         High 9.998241e-01
## 5491            United States            M          Low 9.987416e-01
## 5492                  Nigeria            M          Low 3.513513e-01
## 5493            United States            M         High 4.989552e-01
## 5494            United States            M         High 9.889925e-01
## 5495            United States            M          Low 9.385592e-01
## 5496            United States            M          Low 6.557318e-01
## 5497            United States            M         High 6.604326e-01
## 5498            United States            M          Low 9.987753e-01
## 5499            United States            M         High 1.434988e-01
## 5500            United States            M         High 9.014675e-01
## 5501            United States            M         High 8.671405e-01
## 5502            United States            M         High 9.983757e-01
## 5503           United Kingdom            M         High 9.996609e-01
## 5504           United Kingdom            M          Low 7.180358e-01
## 5505            United States            M          Low 8.039204e-01
## 5506            United States            M          Low 5.866529e-01
## 5507            United States            M         High 9.989095e-01
## 5508            United States            M          Low 9.961307e-01
## 5509            United States            M         High 7.806945e-01
## 5510            United States            M         High 9.624061e-01
## 5511           United Kingdom            M          Low 9.540655e-02
## 5512           United Kingdom            M          Low 2.912477e-01
## 5513            United States            M         High 4.492811e-01
## 5514            United States            M         High 9.996765e-01
## 5515            United States            M         High 3.474816e-01
## 5516            United States            M         High 8.913819e-01
## 5517            United States            M         High 7.726808e-01
## 5518            United States            M         High 9.591944e-01
## 5519           United Kingdom            M         High 9.799408e-01
## 5520           United Kingdom            M          Low 9.970010e-01
## 5521            United States            M          Low 7.684905e-01
## 5522            United States            M          Low 6.738238e-01
## 5523            United States            M         High 8.373464e-01
## 5524            United States            M         High 9.912126e-01
## 5525                 Colombia            M          Low 6.738238e-01
## 5526                 Colombia            M          Low 5.634352e-01
## 5527            United States            M         High 8.913819e-01
## 5528            United States            M          Low 9.912530e-01
## 5529            United States            M         High 9.407075e-01
## 5530            United States            M         High 9.964950e-01
## 5531            United States            M         High 9.964950e-01
## 5532            United States            M         High 9.997773e-01
## 5533            United States            L         High 7.293893e-01
## 5534            United States            L          Low 9.968132e-01
## 5535            United States            M         High 3.379137e-02
## 5536            United States            M         High 8.801772e-01
## 5537            United States            M         High 9.417293e-01
## 5538            United States            M          Low 9.925531e-01
## 5539            United States            M         High 3.086540e-01
## 5540            United States            M          Low 8.573037e-01
## 5541            United States            M         High 9.918818e-01
## 5542            United States            M          Low 9.723657e-01
## 5543            United States            M          Low 9.648081e-01
## 5544            United States            M          Low 6.466180e-01
## 5545            United States            M         High 9.683556e-01
## 5546            United States            M         High 9.996609e-01
## 5547            United States            M         High 5.311549e-01
## 5548            United States            M         High 8.913819e-01
## 5549            United States            M          Low 9.723657e-01
## 5550            United States            M          Low 8.883857e-01
## 5551            United States            M         High 3.885688e-01
## 5552            United States            M         High 9.844512e-01
## 5553            United States            M         High 9.407075e-01
## 5554            United States            M         High 9.999765e-01
## 5555            United States            M         High 8.263115e-01
## 5556            United States            M         High 9.989095e-01
## 5557            United States            M         High 8.263115e-01
## 5558            United States            M         High 9.989095e-01
## 5559            United States            M         High 8.263115e-01
## 5560            United States            M         High 9.989095e-01
## 5561            United States            M         High 8.263115e-01
## 5562            United States            M         High 9.989095e-01
## 5563            United States            M         High 8.263115e-01
## 5564            United States            M         High 9.989095e-01
## 5565            United States            M         High 4.762059e-01
## 5566            United States            M          Low 8.883857e-01
## 5567            United States            M         High 7.051030e-01
## 5568            United States            M         High 9.844512e-01
## 5569            United States            M         High 8.263115e-01
## 5570            United States            M         High 9.989095e-01
## 5571            United States            M         High 8.263115e-01
## 5572            United States            M         High 9.989095e-01
## 5573            United States            M         High 8.263115e-01
## 5574            United States            M         High 9.989095e-01
## 5575            United States            M         High 6.007297e-01
## 5576            United States            M         High 9.825796e-01
## 5577            United States            M          Low 9.155231e-01
## 5578            United States            M          Low 9.024602e-01
## 5579            United States            M         High 7.041363e-03
## 5580            United States            M         High 8.913819e-01
## 5581            United States            M         High 3.885688e-01
## 5582            United States            M         High 7.051030e-01
## 5583            United States            M         High 7.041363e-03
## 5584            United States            M         High 8.913819e-01
## 5585            United States            M         High 9.537220e-01
## 5586            United States            M          Low 9.623508e-01
## 5587                Argentina            M          Low 7.436734e-01
## 5588                Argentina            M          Low 5.634352e-01
## 5589            United States            M         High 1.337345e-01
## 5590            United States            M         High 5.209999e-01
## 5591            United States            M         High 7.311002e-01
## 5592            United States            M          Low 9.979266e-01
## 5593                   Canada            M         High 8.453193e-01
## 5594                   Canada            M         High 9.999716e-01
## 5595            United States            M         High 1.691426e-01
## 5596            United States            M         High 9.968244e-01
## 5597            United States            M         High 1.681196e-01
## 5598            United States            M         High 9.968244e-01
## 5599            United States            M         High 9.972498e-01
## 5600            United States            M          Low 9.853060e-01
## 5601            United States            M         High 9.989095e-01
## 5602            United States            M          Low 9.723657e-01
## 5603            United States            M          Low 9.987416e-01
## 5604            United States            M          Low 9.723657e-01
## 5605                  Germany            M          Low 9.723657e-01
## 5606            United States            M         High 2.386533e-01
## 5607            United States            M         High 8.263115e-01
## 5608            United States            M         High 9.918818e-01
## 5609            United States            M         High 9.999765e-01
## 5610            United States            M         High 8.913819e-01
## 5611            United States            M         High 9.918818e-01
## 5612            United States            M         High 7.051030e-01
## 5613            United States            M         High 9.844512e-01
## 5614            United States            M         High 9.417293e-01
## 5615            United States            M          Low 9.925531e-01
## 5616            United States            M          Low 9.803252e-01
## 5617            United States            M          Low 7.619597e-01
## 5618           United Kingdom            M          Low 2.925333e-01
## 5619           United Kingdom            M          Low 2.871634e-01
## 5620            United States            M         High 7.051030e-01
## 5621                  Nigeria            S          Low 4.715285e-01
## 5622            United States            M         High 9.982510e-01
## 5623            United States            M          Low 9.758484e-01
## 5624            United States            M         High 2.077401e-01
## 5625            United States            M         High 9.234286e-01
## 5626            United States            M         High 5.682427e-01
## 5627            United States            M         High 9.130823e-01
## 5628            United States            M         High 7.963854e-01
## 5629            United States            M         High 9.971324e-01
## 5630            United States            M         High 9.918818e-01
## 5631            United States            M         High 9.998241e-01
## 5632            United States            M          Low 9.834994e-01
## 5633            United States            M          Low 8.764133e-01
## 5634            United States            M         High 8.970492e-01
## 5635            United States            M         High 9.997773e-01
## 5636            United States            M         High 3.885688e-01
## 5637            United States            M         High 8.913819e-01
## 5638           United Kingdom            S          Low 8.400953e-01
## 5639           United Kingdom            M          Low 9.540655e-02
## 5640           United Kingdom            M          Low 2.007518e-01
## 5641            United States            M         High 9.561671e-01
## 5642            United States            M          Low 9.903533e-01
## 5643            United States            M         High 8.913819e-01
## 5644            United States            M         High 9.997773e-01
## 5645            United States            M         High 9.844512e-01
## 5646            United States            M          Low 9.723657e-01
## 5647            United States            M         High 9.997773e-01
## 5648            United States            M          Low 9.723657e-01
## 5649            United States            M         High 4.582049e-01
## 5650            United States            M          Low 9.899501e-01
## 5651           United Kingdom            M         High 1.806870e-01
## 5652           United Kingdom            M         High 7.963854e-01
## 5653            United States            M          Low 9.993040e-01
## 5654            United States            M          Low 8.039204e-01
## 5655            United States            L         High 7.293893e-01
## 5656            United States            L          Low 9.968132e-01
## 5657            United States            M         High 7.480174e-01
## 5658            United States            M         High 9.964950e-01
## 5659                    Spain            M          Low 4.304619e-01
## 5660                    Spain            M          Low 3.595247e-01
## 5661                   Canada            M         High 2.333292e-01
## 5662                   Canada            M         High 9.875249e-01
## 5663            United States            M         High 9.180998e-01
## 5664            United States            M         High 9.989095e-01
## 5665            United States            M         High 2.702265e-01
## 5666            United States            M         High 9.639523e-01
## 5667            United States            M         High 9.844512e-01
## 5668            United States            M         High 9.997773e-01
## 5669            United States            M          Low 9.155231e-01
## 5670            United States            M          Low 7.845206e-01
## 5671            United States            M         High 9.844512e-01
## 5672            United States            M         High 9.989095e-01
## 5673           United Kingdom            M          Low 1.732619e-01
## 5674           United Kingdom            M          Low 2.925333e-01
## 5675            United States            M         High 9.979350e-01
## 5676            United States            M          Low 9.912530e-01
## 5677                    Spain            M          Low 6.101713e-01
## 5678                    Spain            M          Low 5.456588e-01
## 5679            United States            M         High 9.855958e-01
## 5680            United States            M          Low 9.866561e-01
## 5681                    Italy            M          Low 5.888427e-01
## 5682                    Italy            M          Low 5.235769e-01
## 5683            United States            M         High 5.219219e-01
## 5684            United States            M          Low 9.987416e-01
## 5685            United States            M         High 6.490612e-01
## 5686            United States            M          Low 9.982648e-01
## 5687            United States            M         High 9.998241e-01
## 5688            United States            M          Low 9.834994e-01
## 5689            United States            M         High 5.496766e-01
## 5690            United States            M         High 9.180998e-01
## 5691            United States            M         High 9.998241e-01
## 5692            United States            M          Low 9.834994e-01
## 5693            United States            L         High 7.293893e-01
## 5694            United States            L          Low 9.968132e-01
## 5695            United States            M         High 9.989095e-01
## 5696            United States            M          Low 9.987416e-01
## 5697            United States            M          Low 9.385592e-01
## 5698            United States            M          Low 6.557318e-01
## 5699            United States            M         High 9.626436e-01
## 5700            United States            M          Low 9.848846e-01
## 5701            United States            M         High 9.999765e-01
## 5702            United States            M          Low 9.155231e-01
## 5703           United Kingdom            M         High 8.703789e-24
## 5704           United Kingdom            M          Low 2.833853e-01
## 5705                    Spain            L          Low 6.685821e-01
## 5706            United States            S          Low 3.047735e-01
## 5707            United States            S          Low 2.721995e-01
## 5708                   Canada            M         High 9.844512e-01
## 5709                   Canada            M          Low 9.723657e-01
## 5710            United States            L         High 7.293893e-01
## 5711            United States            L          Low 9.968132e-01
## 5712                   Canada            M         High 7.563380e-01
## 5713                   Canada            M          Low 9.990515e-01
## 5714            United States            M         High 9.999206e-01
## 5715            United States            M          Low 8.276267e-01
## 5716            United States            M          Low 9.912530e-01
## 5717            United States            M          Low 8.883857e-01
## 5718            United States            L         High 7.990064e-01
## 5719            United States            L          Low 9.921658e-01
## 5720            United States            M         High 9.999206e-01
## 5721            United States            M          Low 8.276267e-01
## 5722            United States            M         High 9.918818e-01
## 5723            United States            M         High 9.999765e-01
## 5724            United States            M         High 9.999765e-01
## 5725            United States            M          Low 9.385592e-01
## 5726                  Germany            M         High 2.723230e-01
## 5727                  Germany            M         High 9.861891e-01
## 5728           United Kingdom            M         High 6.604326e-01
## 5729           United Kingdom            M         High 9.995397e-01
## 5730            United States            M         High 7.051030e-01
## 5731            United States            M         High 9.996765e-01
## 5732            United States            M         High 8.913819e-01
## 5733            United States            M          Low 9.912530e-01
## 5734                   Canada            M          Low 8.225543e-01
## 5735                   Canada            M          Low 6.738238e-01
## 5736            United States            M         High 4.475029e-01
## 5737            United States            M          Low 8.276267e-01
## 5738            United States            M         High 2.563938e-02
## 5739            United States            M         High 9.605305e-01
## 5740            United States            M         High 9.979350e-01
## 5741            United States            M          Low 9.912530e-01
## 5742            United States            M          Low 9.174189e-01
## 5743            United States            M          Low 6.051976e-01
## 5744                  Nigeria            L          Low 3.047735e-01
## 5745            United States            L         High 8.631634e-01
## 5746            United States            L          Low 9.413723e-01
## 5747            United States            M         High 3.033905e-01
## 5748            United States            M         High 7.354986e-01
## 5749            United States            M         High 8.059529e-01
## 5750            United States            M         High 9.591944e-01
## 5751            United States            M         High 3.718810e-01
## 5752            United States            M         High 5.219219e-01
## 5753            United States            M         High 2.702265e-01
## 5754            United States            M         High 9.639523e-01
## 5755            United States            M         High 7.604618e-01
## 5756            United States            M         High 8.965009e-01
## 5757            United States            M         High 8.715611e-01
## 5758            United States            M          Low 9.807415e-01
## 5759            United States            M         High 9.442978e-01
## 5760            United States            M          Low 9.983686e-01
## 5761            United States            M         High 3.991588e-01
## 5762            United States            M         High 9.591944e-01
## 5763            United States            M         High 6.467791e-01
## 5764            United States            M         High 9.957694e-01
## 5765            United States            M         High 9.885535e-01
## 5766            United States            M          Low 9.406351e-01
## 5767            United States            M         High 5.868166e-01
## 5768            United States            M         High 9.825796e-01
## 5769            United States            M         High 5.960948e-01
## 5770            United States            M         High 8.828822e-01
## 5771            United States            L         High 9.583441e-02
## 5772            United States            L         High 9.991635e-01
## 5773            United States            M          Low 9.574692e-01
## 5774            United States            M          Low 7.561921e-01
## 5775            United States            M         High 5.960948e-01
## 5776            United States            M         High 8.828822e-01
## 5777            United States            M         High 2.386533e-01
## 5778            United States            M         High 8.263115e-01
## 5779            United States            M         High 2.380078e-01
## 5780            United States            M         High 9.939352e-01
## 5781            United States            M         High 9.253168e-01
## 5782            United States            M          Low 9.983686e-01
## 5783            United States            M         High 9.999765e-01
## 5784                  Germany            S          Low 5.807903e-01
## 5785              Netherlands            L          Low 7.084968e-01
## 5786            United States            M         High 9.561671e-01
## 5787            United States            M          Low 9.903533e-01
## 5788            United States            M         High 7.051030e-01
## 5789            United States            M         High 9.844512e-01
## 5790            United States            M         High 9.591944e-01
## 5791            United States            M          Low 9.987416e-01
## 5792                    Spain            M          Low 4.304619e-01
## 5793                    Spain            M          Low 3.595247e-01
## 5794            United States            M          Low 9.155231e-01
## 5795            United States            M          Low 6.557318e-01
## 5796            United States            M         High 9.975846e-01
## 5797            United States            M         High 9.998523e-01
## 5798            United States            M         High 7.726808e-01
## 5799            United States            M         High 9.591944e-01
## 5800            United States            L         High 8.746729e-01
## 5801            United States            L          Low 9.119685e-01
## 5802            United States            M         High 9.997773e-01
## 5803            United States            M          Low 6.098248e-01
## 5804            United States            M         High 9.964950e-01
## 5805            United States            M          Low 9.938193e-01
## 5806            United States            M         High 9.757233e-01
## 5807            United States            M          Low 8.526518e-01
## 5808            United States            M         High 9.999512e-01
## 5809            United States            M          Low 9.621939e-01
## 5810            United States            M         High 5.007853e-01
## 5811            United States            M          Low 9.951913e-01
## 5812            United States            M         High 8.734328e-01
## 5813            United States            M          Low 9.944879e-01
## 5814            United States            L         High 7.480174e-01
## 5815              Switzerland            S          Low 5.161420e-01
## 5816            United States            M         High 9.999765e-01
## 5817            United States            M          Low 9.723657e-01
## 5818            United States            M         High 1.806870e-01
## 5819            United States            M         High 7.963854e-01
## 5820            United States            M         High 9.741377e-01
## 5821            United States            M         High 9.996416e-01
## 5822            United States            M         High 2.185480e-01
## 5823            United States            M         High 9.455177e-01
## 5824            United States            M         High 1.806870e-01
## 5825            United States            M         High 7.948372e-01
## 5826            United States            M         High 9.561671e-01
## 5827            United States            M          Low 9.903533e-01
## 5828            United States            M         High 4.582049e-01
## 5829            United States            M          Low 9.899501e-01
## 5830            United States            M         High 9.998241e-01
## 5831            United States            M          Low 9.987416e-01
## 5832            United States            M         High 9.982510e-01
## 5833            United States            M          Low 9.992095e-01
## 5834            United States            L         High 2.621929e-02
## 5835            United States            L         High 9.823850e-01
## 5836            United States            M          Low 8.883857e-01
## 5837            United States            M          Low 6.557318e-01
## 5838            United States            M          Low 7.845206e-01
## 5839            United States            M          Low 6.098248e-01
## 5840            United States            M          Low 9.982791e-01
## 5841            United States            M          Low 7.706797e-01
## 5842            United States            M          Low 7.005497e-01
## 5843            United States            M          Low 6.557318e-01
## 5844            United States            M         High 8.639376e-01
## 5845            United States            M          Low 9.983276e-01
## 5846            United States            M         High 6.944770e-02
## 5847            United States            M         High 8.101018e-01
## 5848            United States            M          Low 8.573037e-01
## 5849            United States            M          Low 7.005497e-01
## 5850            United States            M         High 9.180998e-01
## 5851            United States            M         High 9.989095e-01
## 5852            United States            M         High 6.604326e-01
## 5853            United States            M         High 9.995397e-01
## 5854            United States            M          Low 8.883857e-01
## 5855            United States            M          Low 6.557318e-01
## 5856            United States            L          Low 9.155231e-01
## 5857           United Kingdom            M          Low 2.911792e-01
## 5858           United Kingdom            M          Low 2.871634e-01
## 5859            United States            M         High 9.997773e-01
## 5860            United States            M          Low 9.574692e-01
## 5861            United States            M         High 9.936368e-01
## 5862            United States            M          Low 9.165238e-01
## 5863            United States            L         High 9.583441e-02
## 5864            United States            L         High 9.991635e-01
## 5865            United States            M         High 9.407075e-01
## 5866            United States            M         High 9.999765e-01
## 5867            United States            M         High 9.979350e-01
## 5868            United States            M          Low 9.912530e-01
## 5869            United States            M         High 9.999765e-01
## 5870            United States            M          Low 9.723657e-01
## 5871            United States            M         High 9.997773e-01
## 5872            United States            M          Low 9.723657e-01
## 5873            United States            L         High 7.293893e-01
## 5874            United States            L          Low 9.968132e-01
## 5875 Central African Republic            M          Low 2.912477e-01
## 5876 Central African Republic            M          Low 2.871634e-01
## 5877            United States            M         High 5.589563e-01
## 5878            United States            M         High 9.998241e-01
## 5879            United States            M         High 7.480174e-01
## 5880            United States            M         High 9.407075e-01
## 5881           United Kingdom            M          Low 2.694249e-01
## 5882           United Kingdom            M          Low 2.912477e-01
## 5883                   Canada            M          Low 2.046990e-01
## 5884           United Kingdom            M          Low 2.007518e-01
## 5885           United Kingdom            M          Low 2.881178e-01
## 5886            United States            M          Low 7.845206e-01
## 5887            United States            M          Low 7.005497e-01
## 5888            United States            M         High 9.989095e-01
## 5889            United States            M          Low 9.987416e-01
## 5890            United States            M         High 1.315857e-01
## 5891            United States            M         High 4.762059e-01
## 5892            United States            M         High 6.784732e-01
## 5893            United States            M         High 9.558226e-01
## 5894            United States            M         High 9.407075e-01
## 5895            United States            M         High 9.918818e-01
## 5896            United States            M         High 6.604326e-01
## 5897            United States            M         High 8.913819e-01
## 5898            United States            M         High 9.736875e-01
## 5899            United States            M          Low 9.574692e-01
## 5900            United States            M         High 8.913819e-01
## 5901            United States            M          Low 9.574692e-01
## 5902                   France            S          Low 4.698727e-01
## 5903            United States            M         High 7.480174e-01
## 5904            United States            M         High 8.606973e-01
## 5905            United States            M         High 9.736875e-01
## 5906            United States            M          Low 9.912530e-01
## 5907            United States            M         High 8.913819e-01
## 5908            United States            M         High 9.999765e-01
## 5909            United States            M         High 7.885974e-01
## 5910            United States            M         High 9.918818e-01
## 5911            United States            M         High 4.989552e-01
## 5912            United States            M         High 9.889925e-01
## 5913                   Canada            M         High 7.138454e-01
## 5914                   Canada            M         High 9.825796e-01
## 5915            United States            M          Low 9.723657e-01
## 5916            United States            M          Low 7.005497e-01
## 5917                  Finland            M          Low 7.524058e-04
## 5918                  Finland            M          Low 1.411600e-02
## 5919            United States            M          Low 9.987416e-01
## 5920            United States            M          Low 9.723657e-01
## 5921            United States            M          Low 9.885274e-01
## 5922            United States            M          Low 7.561921e-01
## 5923            United States            M         High 9.997773e-01
## 5924            United States            M          Low 9.574692e-01
## 5925            United States            M         High 9.591944e-01
## 5926            United States            M          Low 9.987416e-01
## 5927            United States            M         High 4.493179e-02
## 5928            United States            M         High 3.116710e-01
## 5929            United States            M          Low 8.883857e-01
## 5930            United States            M          Low 7.436734e-01
## 5931            United States            M         High 4.762059e-01
## 5932            United States            M         High 9.979350e-01
## 5933            United States            M         High 8.913819e-01
## 5934            United States            M         High 9.997773e-01
## 5935            United States            M          Low 8.883857e-01
## 5936            United States            M         High 9.997773e-01
## 5937            United States            M          Low 9.574692e-01
## 5938            United States            M         High 8.703056e-01
## 5939            United States            M         High 9.999621e-01
## 5940            United States            L         High 5.775310e-01
## 5941            United States            L          Low 9.792599e-01
## 5942            United States            M         High 5.960948e-01
## 5943            United States            M         High 9.997773e-01
## 5944            United States            M         High 9.331999e-01
## 5945            United States            M          Low 9.955484e-01
## 5946            United States            M         High 9.407075e-01
## 5947            United States            M          Low 9.466151e-01
## 5948           United Kingdom            L          Low 7.546037e-01
## 5949            United States            M          Low 7.845206e-01
## 5950            United States            M          Low 6.098248e-01
## 5951            United States            M          Low 9.961307e-01
## 5952            United States            M          Low 9.180127e-01
## 5953            United States            M         High 1.640711e-01
## 5954            United States            M         High 9.591944e-01
## 5955            United States            M          Low 7.436734e-01
## 5956            United States            M          Low 6.557318e-01
## 5957            United States            M         High 7.480174e-01
## 5958            United States            M         High 9.989095e-01
## 5959            United States            M         High 9.844512e-01
## 5960            United States            M         High 9.997773e-01
## 5961            United States            M         High 8.913819e-01
## 5962            United States            M         High 9.999618e-01
## 5963                    Spain            M          Low 4.304619e-01
## 5964                    Spain            M          Low 3.595247e-01
## 5965            United States            L         High 5.635990e-01
## 5966            United States            L          Low 9.809475e-01
## 5967            United States            M         High 9.999398e-01
## 5968            United States            M          Low 9.642032e-01
## 5969            United States            M         High 9.877971e-01
## 5970            United States            M          Low 9.503962e-01
## 5971            United States            L         High 3.885688e-01
## 5972            United States            L          Low 9.968132e-01
## 5973            United States            M         High 9.844512e-01
## 5974            United States            M          Low 9.385592e-01
## 5975            United States            L         High 3.885688e-01
## 5976            United States            L          Low 9.968132e-01
## 5977            United States            M          Low 9.912530e-01
## 5978            United States            M          Low 9.385592e-01
## 5979            United States            M         High 8.606973e-01
## 5980            United States            M         High 9.624061e-01
## 5981            United States            M         High 9.999741e-01
## 5982            United States            M          Low 9.871011e-01
## 5983            United States            M         High 9.180998e-01
## 5984            United States            M         High 9.989095e-01
## 5985            United States            M         High 7.518984e-01
## 5986            United States            M         High 9.998681e-01
## 5987            United States            M         High 9.918818e-01
## 5988            United States            M          Low 9.961307e-01
## 5989            United States            M         High 9.844512e-01
## 5990            United States            M         High 9.997773e-01
## 5991            United States            M         High 8.970492e-01
## 5992            United States            M         High 9.981643e-01
## 5993            United States            L         High 7.293893e-01
## 5994            United States            L          Low 9.968132e-01
## 5995            United States            M         High 7.396033e-01
## 5996            United States            M         High 9.999365e-01
## 5997            United States            M         High 9.522892e-01
## 5998            United States            M          Low 9.885274e-01
## 5999            United States            M         High 8.263115e-01
## 6000            United States            M          Low 9.968132e-01
## 6001            United States            M         High 9.844512e-01
## 6002            United States            M          Low 8.883857e-01
## 6003            United States            M         High 9.761277e-01
## 6004            United States            M          Low 9.342832e-01
## 6005            United States            M         High 5.219219e-01
## 6006            United States            M         High 9.736875e-01
## 6007            United States            M          Low 9.993040e-01
## 6008            United States            M          Low 7.005497e-01
## 6009            United States            M         High 8.981635e-01
## 6010            United States            M          Low 9.165238e-01
## 6011            United States            M          Low 9.834994e-01
## 6012            United States            M          Low 9.466151e-01
## 6013            United States            M         High 8.263115e-01
## 6014            United States            M         High 9.998241e-01
## 6015            United States            M          Low 9.574692e-01
## 6016            United States            M          Low 7.923686e-01
## 6017            United States            M         High 9.964950e-01
## 6018            United States            M          Low 9.987416e-01
## 6019            United States            M          Low 9.983686e-01
## 6020            United States            M          Low 9.204611e-01
## 6021                   Canada            L          Low 1.128899e-01
## 6022                   Canada            S         High 2.723230e-01
## 6023                  Ukraine            S          Low 4.715285e-01
## 6024            United States            M         High 2.341581e-01
## 6025            United States            M         High 9.999766e-01
## 6026                   Canada            L          Low 6.517001e-02
## 6027            United States            M         High 4.716877e-01
## 6028            United States            M         High 9.990564e-01
## 6029            United States            M         High 9.997773e-01
## 6030            United States            M          Low 9.574692e-01
## 6031            United States            M          Low 9.987416e-01
## 6032            United States            M          Low 9.723657e-01
## 6033            United States            M          Low 9.912542e-01
## 6034            United States            M          Low 6.729870e-01
## 6035            United States            M          Low 8.500832e-01
## 6036            United States            M          Low 4.893190e-01
## 6037                   Canada            M         High 9.844512e-01
## 6038                   Canada            M          Low 9.961307e-01
## 6039            United States            M          Low 7.845206e-01
## 6040            United States            M          Low 6.098248e-01
## 6041            United States            M         High 4.141794e-01
## 6042            United States            M         High 9.999163e-01
## 6043            United States            M         High 7.311002e-01
## 6044            United States            M         High 9.844512e-01
## 6045            United States            M         High 8.734328e-01
## 6046            United States            M          Low 9.946697e-01
## 6047            United States            L         High 7.990064e-01
## 6048            United States            L          Low 9.921658e-01
## 6049            United States            M         High 7.396033e-01
## 6050            United States            M         High 9.999163e-01
## 6051            United States            M          Low 8.883857e-01
## 6052            United States            M          Low 7.436734e-01
## 6053            United States            M         High 9.561671e-01
## 6054            United States            M          Low 9.903533e-01
## 6055            United States            M         High 5.868166e-01
## 6056            United States            M         High 9.997256e-01
## 6057            United States            M         High 1.153134e-01
## 6058            United States            M         High 8.970492e-01
## 6059                    Spain            M          Low 4.304619e-01
## 6060            United States            M         High 9.999765e-01
## 6061            United States            M          Low 9.912530e-01
## 6062            United States            M          Low 9.987416e-01
## 6063            United States            M          Low 9.385592e-01
## 6064            United States            M          Low 8.225543e-01
## 6065            United States            M          Low 7.005497e-01
## 6066           United Kingdom            M         High 1.878802e-04
## 6067           United Kingdom            M          Low 1.216853e-01
## 6068            United States            M         High 5.682427e-01
## 6069            United States            M         High 9.636462e-01
## 6070            United States            M          Low 9.912530e-01
## 6071            United States            M          Low 7.436734e-01
## 6072            United States            M         High 4.762059e-01
## 6073            United States            M         High 9.999765e-01
## 6074            United States            M         High 9.989095e-01
## 6075            United States            M          Low 9.723657e-01
## 6076            United States            M         High 1.846032e-01
## 6077            United States            M         High 8.774224e-01
## 6078            United States            M         High 9.997773e-01
## 6079            United States            M          Low 9.723657e-01
## 6080            United States            M         High 9.998241e-01
## 6081            United States            M          Low 9.204611e-01
## 6082            United States            M         High 8.913819e-01
## 6083            United States            M         High 9.989095e-01
## 6084            United States            M         High 9.994626e-01
## 6085            United States            M          Low 9.137558e-01
## 6086            United States            M         High 9.736875e-01
## 6087            United States            M          Low 9.987416e-01
## 6088            United States            M         High 8.913819e-01
## 6089            United States            M         High 9.997773e-01
## 6090            United States            L          Low 6.374655e-01
## 6091            United States            M          Low 5.634352e-01
## 6092                    Spain            M          Low 4.304619e-01
## 6093                    Spain            M          Low 3.595247e-01
## 6094            United States            M          Low 7.845206e-01
## 6095            United States            M          Low 6.098248e-01
## 6096            United States            M          Low 9.834994e-01
## 6097            United States            M          Low 8.225543e-01
## 6098            United States            M          Low 9.155231e-01
## 6099            United States            M          Low 8.225543e-01
## 6100            United States            M         High 9.741377e-01
## 6101            United States            M         High 9.996416e-01
## 6102            United States            M          Low 9.961307e-01
## 6103            United States            M          Low 9.180127e-01
## 6104            United States            M         High 9.998241e-01
## 6105            United States            M          Low 9.834994e-01
## 6106            United States            M         High 5.589563e-01
## 6107            United States            M         High 9.710976e-01
## 6108            United States            M         High 4.582049e-01
## 6109            United States            M         High 9.998923e-01
## 6110            United States            M         High 9.736875e-01
## 6111            United States            M         High 9.998241e-01
## 6112            United States            M         High 9.331999e-01
## 6113            United States            M          Low 9.955484e-01
## 6114            United States            M         High 9.844512e-01
## 6115            United States            M         High 9.997773e-01
## 6116            United States            M         High 5.960948e-01
## 6117            United States            M         High 9.997773e-01
## 6118            United States            M         High 9.998241e-01
## 6119            United States            M          Low 9.834994e-01
## 6120            United States            M          Low 7.436734e-01
## 6121            United States            M          Low 6.557318e-01
## 6122            United States            M         High 9.998604e-01
## 6123            United States            M          Low 7.005497e-01
## 6124            United States            M          Low 6.024193e-01
## 6125            United States            M          Low 5.272962e-01
## 6126            United States            M         High 9.918818e-01
## 6127            United States            M          Low 9.912530e-01
## 6128            United States            M         High 8.373464e-01
## 6129            United States            M         High 9.912126e-01
## 6130            United States            M          Low 9.834994e-01
## 6131            United States            M          Low 8.883857e-01
## 6132            United States            M          Low 9.961307e-01
## 6133            United States            M          Low 9.723657e-01
## 6134            United States            M         High 8.913819e-01
## 6135            United States            M         High 9.918818e-01
## 6136                  Ireland            M         High 9.903103e-01
## 6137                  Ireland            M          Low 9.531247e-01
## 6138            United States            L         High 7.293893e-01
## 6139            United States            L          Low 9.968132e-01
## 6140            United States            L         High 3.885688e-01
## 6141            United States            L          Low 9.968132e-01
## 6142            United States            M         High 9.999126e-01
## 6143            United States            M          Low 8.912805e-01
## 6144            United States            M         High 8.606973e-01
## 6145            United States            M         High 9.624061e-01
## 6146                   Canada            M          Low 9.574692e-01
## 6147                   Canada            M          Low 8.573037e-01
## 6148            United States            M         High 9.669269e-01
## 6149            United States            M          Low 9.760860e-01
## 6150            United States            M         High 8.728104e-01
## 6151            United States            M          Low 9.557617e-01
## 6152           United Kingdom            M          Low 2.502084e-01
## 6153           United Kingdom            M          Low 2.912477e-01
## 6154            United States            M         High 4.582049e-01
## 6155            United States            M          Low 9.899501e-01
## 6156            United States            M          Low 8.417535e-01
## 6157            United States            M          Low 5.801534e-01
## 6158            United States            M         High 9.989095e-01
## 6159            United States            M          Low 9.912530e-01
## 6160                   Canada            M         High 4.055692e-01
## 6161                   Canada            M         High 9.407075e-01
## 6162            United States            M         High 9.918818e-01
## 6163            United States            M          Low 9.961307e-01
## 6164            United States            M         High 9.945041e-01
## 6165            United States            M          Low 9.228683e-01
## 6166            United States            M         High 9.180998e-01
## 6167            United States            M         High 9.989095e-01
## 6168            United States            M         High 9.998604e-01
## 6169            United States            M          Low 7.005497e-01
## 6170              Netherlands            L          Low 5.416000e-01
## 6171            United States            M         High 2.018921e-01
## 6172            United States            M         High 8.473685e-01
## 6173            United States            M          Low 8.883857e-01
## 6174            United States            M          Low 7.436734e-01
## 6175            United States            M         High 7.203531e-01
## 6176            United States            M         High 9.770626e-01
## 6177            United States            M         High 1.601345e-02
## 6178            United States            M         High 4.825501e-01
## 6179            United States            M         High 6.604326e-01
## 6180            United States            M         High 7.480174e-01
## 6181            United States            M         High 1.434988e-01
## 6182            United States            M         High 9.014675e-01
## 6183            United States            M         High 8.263115e-01
## 6184            United States            M         High 9.999655e-01
## 6185            United States            M         High 8.913819e-01
## 6186            United States            M         High 9.918818e-01
## 6187            United States            M         High 7.270040e-02
## 6188            United States            M         High 9.909861e-01
## 6189            United States            M          Low 9.885274e-01
## 6190            United States            M          Low 7.561921e-01
## 6191                    Spain            M          Low 2.425619e-01
## 6192                  Ukraine            M          Low 9.298415e-01
## 6193                  Ukraine            M          Low 5.634352e-01
## 6194            United States            M          Low 9.953574e-01
## 6195            United States            M          Low 9.815571e-01
## 6196            United States            M         High 9.903103e-01
## 6197            United States            M          Low 9.531247e-01
## 6198            United States            M         High 9.964950e-01
## 6199            United States            M          Low 9.938193e-01
## 6200            United States            M         High 7.051030e-01
## 6201            United States            M         High 9.844512e-01
## 6202            United States            M         High 6.604326e-01
## 6203            United States            M          Low 9.825454e-01
## 6204            United States            M         High 4.989552e-01
## 6205            United States            M         High 9.889925e-01
## 6206            United States            M         High 9.844512e-01
## 6207            United States            M         High 9.997773e-01
## 6208            United States            M         High 9.999652e-01
## 6209            United States            M          Low 9.845994e-01
## 6210            United States            M         High 9.997773e-01
## 6211            United States            M          Low 9.574692e-01
## 6212            United States            M         High 8.913819e-01
## 6213            United States            M         High 9.999765e-01
## 6214            United States            M         High 9.989095e-01
## 6215            United States            M          Low 9.723657e-01
## 6216            United States            M         High 9.591944e-01
## 6217            United States            M          Low 9.730091e-01
## 6218            United States            M         High 2.702265e-01
## 6219            United States            M         High 9.654592e-01
## 6220            United States            M         High 9.918818e-01
## 6221            United States            M          Low 9.834994e-01
## 6222            United States            M         High 9.945041e-01
## 6223            United States            M          Low 9.228683e-01
## 6224            United States            M         High 4.762059e-01
## 6225            United States            M         High 8.913819e-01
## 6226            United States            L          Low 9.961307e-01
## 6227            United States            M         High 7.806945e-01
## 6228            United States            M         High 9.624061e-01
## 6229            United States            M         High 9.736875e-01
## 6230            United States            M         High 9.964950e-01
## 6231            United States            M         High 9.561671e-01
## 6232            United States            M          Low 9.903533e-01
## 6233            United States            M         High 9.997773e-01
## 6234            United States            M          Low 9.723657e-01
## 6235            United States            M         High 9.996423e-01
## 6236            United States            M          Low 9.577790e-01
## 6237            United States            M          Low 9.912530e-01
## 6238            United States            M          Low 8.225543e-01
## 6239            United States            M         High 9.877971e-01
## 6240            United States            M          Low 9.935172e-01
## 6241            United States            M         High 8.401476e-01
## 6242            United States            M          Low 9.892540e-01
## 6243            United States            M         High 9.741377e-01
## 6244            United States            M         High 9.996416e-01
## 6245            United States            M         High 9.945041e-01
## 6246            United States            M          Low 9.228683e-01
## 6247            United States            M         High 2.702265e-01
## 6248            United States            M         High 9.639523e-01
## 6249            United States            M         High 9.999748e-01
## 6250            United States            M          Low 8.997256e-01
## 6251            United States            M         High 9.997773e-01
## 6252            United States            M          Low 8.883857e-01
## 6253            United States            M         High 9.407075e-01
## 6254            United States            M          Low 8.573037e-01
## 6255            United States            M         High 9.999126e-01
## 6256            United States            M          Low 9.242927e-01
## 6257                  Ireland            M          Low 7.084968e-01
## 6258                  Ireland            M          Low 6.426957e-01
## 6259            United States            M          Low 9.885274e-01
## 6260            United States            M          Low 7.845206e-01
## 6261            United States            M         High 9.999743e-01
## 6262            United States            M          Low 9.987416e-01
## 6263            United States            M         High 2.702265e-01
## 6264            United States            M         High 9.639523e-01
## 6265            United States            M         High 7.480174e-01
## 6266            United States            M         High 9.918818e-01
## 6267            United States            M          Low 9.961307e-01
## 6268            United States            M          Low 9.180127e-01
## 6269            United States            M          Low 8.883857e-01
## 6270            United States            M          Low 7.436734e-01
## 6271                  Germany            M          Low 3.908828e-01
## 6272                   Canada            M         High 9.989095e-01
## 6273                   Canada            M         High 9.997773e-01
## 6274            United States            M         High 9.998923e-01
## 6275            United States            M          Low 9.995051e-01
## 6276           United Kingdom            M          Low 2.268724e-01
## 6277           United Kingdom            M          Low 2.928437e-01
## 6278            United States            M         High 9.407075e-01
## 6279            United States            M          Low 9.723657e-01
## 6280           United Kingdom            M          Low 2.007518e-01
## 6281           United Kingdom            M          Low 2.928437e-01
## 6282           United Kingdom            M          Low 9.540655e-02
## 6283           United Kingdom            M          Low 2.502084e-01
## 6284            United States            M         High 9.999765e-01
## 6285            United States            M          Low 9.426696e-01
## 6286            United States            M         High 3.474816e-01
## 6287            United States            M         High 6.146101e-01
## 6288              Switzerland            L          Low 6.341635e-01
## 6289                  Germany            M          Low 6.518081e-01
## 6290            United States            M         High 9.989095e-01
## 6291            United States            M          Low 9.912530e-01
## 6292            United States            M          Low 7.005497e-01
## 6293            United States            M          Low 5.671501e-01
## 6294            United States            M          Low 7.845206e-01
## 6295            United States            M          Low 7.005497e-01
## 6296            United States            M         High 4.582049e-01
## 6297            United States            M          Low 9.899501e-01
## 6298            United States            M          Low 8.417535e-01
## 6299            United States            M          Low 5.801534e-01
## 6300                  Ireland            L         High 7.984660e-01
## 6301                  Germany            M          Low 5.160587e-01
## 6302            United States            M          Low 7.725385e-01
## 6303            United States            M          Low 4.942249e-01
## 6304            United States            M         High 8.853428e-01
## 6305            United States            M          Low 9.953770e-01
## 6306            United States            M         High 9.964950e-01
## 6307            United States            M          Low 9.987416e-01
## 6308            United States            M          Low 5.820106e-01
## 6309            United States            M          Low 5.448772e-01
## 6310            United States            M         High 9.892790e-01
## 6311            United States            M          Low 9.574692e-01
## 6312            United States            M          Low 9.834994e-01
## 6313            United States            M          Low 8.225543e-01
## 6314            United States            M         High 9.972498e-01
## 6315            United States            M          Low 9.853060e-01
## 6316            United States            M         High 5.960948e-01
## 6317            United States            M         High 9.997773e-01
## 6318            United States            M          Low 8.225543e-01
## 6319            United States            M          Low 8.225543e-01
## 6320            United States            M          Low 9.985634e-01
## 6321            United States            M          Low 9.360135e-01
## 6322                   Canada            M         High 4.055692e-01
## 6323                   Canada            M         High 9.407075e-01
## 6324            United States            M         High 9.997773e-01
## 6325            United States            M          Low 9.723657e-01
## 6326            United States            L         High 8.567600e-01
## 6327            United States            L          Low 9.189970e-01
## 6328            United States            M         High 4.582049e-01
## 6329            United States            M          Low 9.899501e-01
## 6330            United States            M         High 5.705833e-01
## 6331            United States            M         High 9.989605e-01
## 6332            United States            M         High 9.547796e-01
## 6333            United States            M          Low 9.024602e-01
## 6334            United States            M         High 9.964950e-01
## 6335            United States            M          Low 9.938193e-01
## 6336            United States            M         High 9.407075e-01
## 6337            United States            M          Low 9.853060e-01
## 6338            United States            M         High 9.999699e-01
## 6339            United States            M          Low 9.536594e-01
## 6340            United States            M         High 9.999126e-01
## 6341            United States            M          Low 9.242927e-01
## 6342            United States            M         High 9.884047e-01
## 6343            United States            M          Low 9.293882e-01
## 6344            United States            M         High 9.732324e-01
## 6345            United States            M          Low 9.205582e-01
## 6346            United States            M         High 5.134974e-03
## 6347            United States            M         High 8.031407e-01
## 6348            United States            M         High 9.999126e-01
## 6349            United States            M          Low 8.912805e-01
## 6350            United States            M         High 8.507552e-01
## 6351            United States            M          Low 9.763222e-01
## 6352            United States            M         High 3.885688e-01
## 6353            United States            M         High 7.051030e-01
## 6354            United States            M         High 9.205467e-01
## 6355            United States            M          Low 9.591364e-01
## 6356            United States            L         High 9.918818e-01
## 6357            United States            L          Low 8.225543e-01
## 6358            United States            M          Low 8.573037e-01
## 6359            United States            M          Low 6.557318e-01
## 6360            United States            M         High 2.723230e-01
## 6361            United States            M         High 9.989095e-01
## 6362            United States            M          Low 9.605510e-01
## 6363            United States            M          Low 7.575642e-01
## 6364            United States            M         High 9.844512e-01
## 6365            United States            M          Low 9.723657e-01
## 6366            United States            M         High 9.999765e-01
## 6367            United States            M          Low 9.723657e-01
## 6368            United States            M         High 8.913819e-01
## 6369            United States            M         High 9.844512e-01
## 6370            United States            M         High 8.541058e-01
## 6371            United States            M          Low 9.912530e-01
## 6372           United Kingdom            M          Low 9.979266e-01
## 6373           United Kingdom            M          Low 8.368718e-01
## 6374                 Colombia            M          Low 6.098248e-01
## 6375                 Colombia            M          Low 4.535789e-01
## 6376            United States            M          Low 9.385592e-01
## 6377            United States            M          Low 7.005497e-01
## 6378            United States            M          Low 9.912530e-01
## 6379            United States            M          Low 8.000998e-01
## 6380            United States            M         High 9.989095e-01
## 6381            United States            M          Low 9.466151e-01
## 6382            United States            M         High 9.979350e-01
## 6383            United States            M          Low 9.912530e-01
## 6384            United States            M         High 1.337345e-01
## 6385            United States            M         High 5.209999e-01
## 6386            United States            M         High 9.997773e-01
## 6387            United States            M          Low 8.883857e-01
## 6388            United States            M         High 9.999206e-01
## 6389            United States            M          Low 8.276267e-01
## 6390            United States            M          Low 9.578058e-01
## 6391            United States            M          Low 6.908142e-01
## 6392            United States            M         High 9.936368e-01
## 6393            United States            M          Low 9.165238e-01
## 6394            United States            M         High 8.263115e-01
## 6395            United States            M         High 9.989095e-01
## 6396            United States            M         High 9.997773e-01
## 6397            United States            M          Low 8.883857e-01
## 6398            United States            L         High 7.293893e-01
## 6399            United States            L          Low 9.968132e-01
## 6400            United States            M          Low 8.883857e-01
## 6401            United States            M          Low 7.845206e-01
## 6402           United Kingdom            M          Low 2.007518e-01
## 6403           United Kingdom            M          Low 2.881178e-01
## 6404            United States            M         High 8.913819e-01
## 6405            United States            M         High 9.997773e-01
## 6406            United States            M          Low 9.987416e-01
## 6407            United States            M          Low 8.573037e-01
## 6408            United States            M         High 9.591944e-01
## 6409            United States            M          Low 9.730091e-01
## 6410            United States            L          Low 9.912530e-01
## 6411            United States            M         High 8.606973e-01
## 6412            United States            M          Low 9.987416e-01
## 6413            United States            M         High 1.434988e-01
## 6414            United States            M         High 9.014675e-01
## 6415            United States            M          Low 9.991298e-01
## 6416            United States            M          Low 8.519277e-01
## 6417            United States            M         High 9.624061e-01
## 6418            United States            M          Low 9.995051e-01
## 6419            United States            M          Low 6.557318e-01
## 6420            United States            M          Low 5.171519e-01
## 6421            United States            M         High 2.702265e-01
## 6422            United States            M         High 9.639523e-01
## 6423            United States            M          Low 7.005497e-01
## 6424            United States            M          Low 6.098248e-01
## 6425            United States            M         High 9.989095e-01
## 6426            United States            M         High 9.999163e-01
## 6427            United States            M         High 9.999699e-01
## 6428            United States            M          Low 9.536594e-01
## 6429                Singapore            L          Low 1.411600e-02
## 6430            United States            M         High 9.732324e-01
## 6431            United States            M          Low 9.205582e-01
## 6432                Australia            L          Low 6.557318e-01
## 6433                   Sweden            M          Low 7.436734e-01
## 6434            United States            M         High 4.762059e-01
## 6435            United States            M         High 9.999765e-01
## 6436            United States            M          Low 9.985634e-01
## 6437            United States            M          Low 9.360135e-01
## 6438            United States            M          Low 9.155231e-01
## 6439            United States            M          Low 6.557318e-01
## 6440            United States            M         High 8.196534e-01
## 6441            United States            M          Low 9.629870e-01
## 6442            United States            M         High 9.999765e-01
## 6443            United States            M          Low 8.883857e-01
## 6444            United States            M         High 9.998604e-01
## 6445            United States            M          Low 7.005497e-01
## 6446            United States            M          Low 7.005497e-01
## 6447            United States            M          Low 5.634352e-01
## 6448            United States            M         High 9.568511e-01
## 6449            United States            M         High 9.964950e-01
## 6450            United States            M         High 9.989095e-01
## 6451            United States            M          Low 9.912530e-01
## 6452            United States            M         High 9.930114e-01
## 6453            United States            M          Low 9.410453e-01
## 6454            United States            M         High 9.276397e-01
## 6455            United States            M          Low 9.973257e-01
## 6456            United States            M          Low 9.985634e-01
## 6457            United States            M          Low 9.360135e-01
## 6458            United States            M         High 2.653722e-01
## 6459            United States            M         High 9.772926e-01
## 6460                    Spain            M          Low 5.084929e-01
## 6461                    Spain            M          Low 4.304619e-01
## 6462                 Slovenia            M          Low 6.133108e-01
## 6463                 Slovenia            M          Low 4.304619e-01
## 6464           United Kingdom            M         High 1.927419e-04
## 6465           United Kingdom            M          Low 1.282415e-01
## 6466           United Kingdom            M          Low 2.436452e-02
## 6467           United Kingdom            M          Low 1.282415e-01
## 6468            United States            M         High 4.582049e-01
## 6469            United States            M          Low 9.899501e-01
## 6470            United States            L          Low 9.912530e-01
## 6471            United States            M         High 9.999765e-01
## 6472            United States            M         High 9.972498e-01
## 6473            United States            M          Low 9.853060e-01
## 6474                   Canada            M         High 3.885688e-01
## 6475                   Canada            M          Low 9.385592e-01
## 6476            United States            M         High 9.918818e-01
## 6477            United States            M          Low 9.912530e-01
## 6478            United States            M         High 4.989552e-01
## 6479            United States            M         High 9.889925e-01
## 6480            United States            M         High 5.705833e-01
## 6481            United States            M         High 9.989605e-01
## 6482            United States            M         High 9.972498e-01
## 6483            United States            M          Low 9.853060e-01
## 6484            United States            M          Low 9.896058e-01
## 6485            United States            M          Low 9.216699e-01
## 6486            United States            M         High 4.582049e-01
## 6487            United States            M          Low 9.899501e-01
## 6488            United States            M         High 1.337345e-01
## 6489            United States            M         High 5.209999e-01
## 6490            United States            M         High 9.998241e-01
## 6491            United States            M          Low 9.987416e-01
## 6492            United States            M         High 9.945041e-01
## 6493            United States            M          Low 9.228683e-01
## 6494            United States            M         High 9.466832e-01
## 6495            United States            M          Low 9.638984e-01
## 6496            United States            M         High 4.762059e-01
## 6497            United States            M          Low 9.979266e-01
## 6498                   Canada            M          Low 9.912530e-01
## 6499                   Canada            M          Low 8.883857e-01
## 6500                  Germany            L          Low 7.320993e-01
## 6501            United States            M          Low 9.987416e-01
## 6502            United States            M          Low 9.723657e-01
## 6503            United States            M         High 9.989095e-01
## 6504            United States            M          Low 9.961307e-01
## 6505            United States            M          Low 9.129923e-01
## 6506            United States            M          Low 6.557318e-01
## 6507            United States            M          Low 8.225543e-01
## 6508            United States            M          Low 6.557318e-01
## 6509            United States            M         High 9.999126e-01
## 6510            United States            M          Low 9.242927e-01
## 6511            United States            M          Low 9.834994e-01
## 6512            United States            M          Low 8.225543e-01
## 6513            United States            M         High 9.591944e-01
## 6514            United States            M          Low 9.834994e-01
## 6515            United States            M          Low 9.869807e-01
## 6516            United States            M          Low 8.506363e-01
## 6517            United States            M         High 8.223182e-01
## 6518            United States            M         High 9.999254e-01
## 6519            United States            M         High 8.913819e-01
## 6520            United States            M         High 9.999765e-01
## 6521            United States            M         High 9.983757e-01
## 6522            United States            M          Low 9.710506e-01
## 6523            United States            M         High 9.844512e-01
## 6524            United States            M         High 9.997773e-01
## 6525            United States            M         High 9.844512e-01
## 6526            United States            M         High 9.999660e-01
## 6527            United States            M          Low 9.155231e-01
## 6528            United States            M          Low 7.845206e-01
## 6529            United States            M         High 7.885974e-01
## 6530            United States            M         High 9.998797e-01
## 6531                  Germany            L         High 2.138145e-01
## 6532                   Mexico            M          Low 6.738238e-01
## 6533                   Mexico            M          Low 5.634352e-01
## 6534            United States            M         High 9.999213e-01
## 6535            United States            M          Low 9.788238e-01
## 6536            United States            M         High 3.885688e-01
## 6537            United States            M         High 9.844512e-01
## 6538            United States            M         High 9.547796e-01
## 6539            United States            M          Low 9.813553e-01
## 6540            United States            M         High 2.897698e-02
## 6541            United States            M         High 9.999765e-01
## 6542            United States            M         High 9.999213e-01
## 6543            United States            M          Low 9.788238e-01
## 6544            United States            M         High 4.762059e-01
## 6545            United States            M         High 9.844512e-01
## 6546                   France            M          Low 5.456588e-01
## 6547            United States            M         High 9.561671e-01
## 6548            United States            M          Low 9.765568e-01
## 6549            United States            M         High 9.999126e-01
## 6550            United States            M          Low 9.242927e-01
## 6551                Australia            M          Low 4.715285e-01
## 6552            United States            L          Low 8.883857e-01
## 6553            United States            M         High 4.989552e-01
## 6554            United States            M         High 9.889925e-01
## 6555            United States            M         High 9.383885e-02
## 6556            United States            M         High 5.775310e-01
## 6557            United States            M          Low 9.834994e-01
## 6558            United States            M          Low 9.385592e-01
## 6559            United States            M         High 9.999765e-01
## 6560            United States            M          Low 8.883857e-01
## 6561            United States            M         High 9.999703e-01
## 6562            United States            M          Low 7.633120e-01
## 6563            United States            M         High 9.998604e-01
## 6564            United States            M          Low 7.005497e-01
## 6565            United States            M          Low 9.985634e-01
## 6566            United States            M          Low 9.360135e-01
## 6567            United States            M          Low 9.985634e-01
## 6568            United States            M          Low 9.360135e-01
## 6569            United States            M         High 9.999748e-01
## 6570            United States            M          Low 8.997256e-01
## 6571           United Kingdom            M          Low 1.457745e-01
## 6572           United Kingdom            M          Low 2.925333e-01
## 6573            United States            M         High 4.582049e-01
## 6574            United States            M          Low 9.899501e-01
## 6575            United States            M          Low 8.573037e-01
## 6576            United States            M          Low 7.884590e-01
## 6577            United States            M         High 9.561671e-01
## 6578            United States            M          Low 9.765568e-01
## 6579            United States            M         High 9.999765e-01
## 6580            United States            M          Low 8.883857e-01
## 6581            United States            M         High 9.997773e-01
## 6582            United States            M          Low 9.834994e-01
## 6583            United States            M         High 9.999765e-01
## 6584            United States            M          Low 8.748730e-01
## 6585            United States            M         High 8.855555e-01
## 6586            United States            M          Low 9.772522e-01
## 6587            United States            M         High 4.582049e-01
## 6588            United States            M          Low 9.899501e-01
## 6589            United States            M          Low 9.723657e-01
## 6590            United States            M          Low 7.005497e-01
## 6591            United States            M          Low 9.638679e-01
## 6592            United States            M          Low 7.678404e-01
## 6593            United States            M         High 9.561671e-01
## 6594            United States            M          Low 9.903533e-01
## 6595            United States            S         High 8.913819e-01
## 6596            United States            S          Low 9.834994e-01
## 6597            United States            M         High 8.855555e-01
## 6598            United States            M          Low 9.772522e-01
## 6599            United States            M         High 8.639376e-01
## 6600            United States            M          Low 9.993481e-01
## 6601            United States            M         High 9.998241e-01
## 6602            United States            M          Low 9.987416e-01
## 6603            United States            M         High 8.546385e-01
## 6604            United States            M         High 9.898375e-01
## 6605            United States            M          Low 9.760860e-01
## 6606            United States            M          Low 7.266652e-01
## 6607            United States            M         High 9.998923e-01
## 6608            United States            M          Low 9.607635e-01
## 6609            United States            M         High 9.407075e-01
## 6610            United States            M          Low 9.968132e-01
## 6611           United Kingdom            M          Low 2.268724e-01
## 6612           United Kingdom            M          Low 2.888312e-01
## 6613            United States            M         High 9.736875e-01
## 6614            United States            M          Low 9.385592e-01
## 6615            United States            M         High 2.702265e-01
## 6616            United States            M         High 9.654592e-01
## 6617            United States            M         High 9.918818e-01
## 6618            United States            M          Low 9.987416e-01
## 6619            United States            M         High 9.998923e-01
## 6620            United States            M          Low 9.607635e-01
## 6621            United States            M         High 9.989095e-01
## 6622            United States            M          Low 9.912530e-01
## 6623            United States            M         High 8.913819e-01
## 6624            United States            M          Low 9.723657e-01
## 6625            United States            M         High 9.844512e-01
## 6626            United States            M         High 9.989095e-01
## 6627           United Kingdom            M          Low 4.126487e-02
## 6628           United Kingdom            M          Low 1.195016e-01
## 6629            United States            M         High 9.999126e-01
## 6630            United States            M          Low 9.242927e-01
## 6631            United States            M          Low 7.845206e-01
## 6632            United States            M          Low 7.005497e-01
## 6633            United States            M         High 7.051030e-01
## 6634            United States            M         High 9.996765e-01
## 6635            United States            M         High 9.999765e-01
## 6636            United States            M          Low 9.723657e-01
## 6637            United States            M         High 9.972498e-01
## 6638            United States            M          Low 9.853060e-01
## 6639            United States            M         High 9.997773e-01
## 6640            United States            M          Low 8.225543e-01
## 6641            United States            M         High 8.639376e-01
## 6642            United States            M          Low 9.993481e-01
## 6643            United States            M          Low 8.573037e-01
## 6644            United States            M          Low 7.884590e-01
## 6645            United States            M         High 9.945041e-01
## 6646            United States            M          Low 9.228683e-01
## 6647            United States            M         High 9.972498e-01
## 6648            United States            M          Low 9.853060e-01
## 6649            United States            M         High 9.998241e-01
## 6650            United States            M          Low 9.987416e-01
## 6651            United States            M         High 4.762059e-01
## 6652            United States            M         High 8.913819e-01
## 6653            United States            M         High 3.885688e-01
## 6654            United States            M         High 9.558226e-01
## 6655            United States            M         High 9.989095e-01
## 6656            United States            M          Low 9.912530e-01
## 6657            United States            M         High 8.913819e-01
## 6658            United States            M         High 9.999765e-01
## 6659                    Spain            M          Low 4.304619e-01
## 6660                    Spain            M          Low 3.595247e-01
## 6661            United States            M         High 9.999765e-01
## 6662            United States            M          Low 9.723657e-01
## 6663                    India            M          Low 3.047735e-01
## 6664            United States            M         High 9.591944e-01
## 6665            United States            M          Low 9.834994e-01
## 6666            United States            S          Low 3.379654e-01
## 6667                 Portugal            L          Low 6.133108e-01
## 6668                   Russia            L          Low 9.204611e-01
## 6669            United States            M         High 9.844512e-01
## 6670            United States            M          Low 9.912530e-01
## 6671            United States            M          Low 9.772522e-01
## 6672            United States            M          Low 8.492855e-01
## 6673                   Mexico            M         High 9.999765e-01
## 6674                   Mexico            M          Low 8.225543e-01
## 6675            United States            M         High 9.964950e-01
## 6676            United States            M          Low 9.466151e-01
## 6677            United States            M         High 7.480174e-01
## 6678                  Germany            M          Low 5.941458e-01
## 6679                  Germany            M          Low 5.456588e-01
## 6680            United States            M         High 8.639376e-01
## 6681            United States            M          Low 9.993481e-01
## 6682            United States            M         High 8.913819e-01
## 6683            United States            M         High 9.844512e-01
## 6684            United States            M         High 9.561671e-01
## 6685            United States            M          Low 9.903533e-01
## 6686            United States            M         High 9.561671e-01
## 6687            United States            M          Low 9.765568e-01
## 6688            United States            M         High 8.639376e-01
## 6689            United States            M          Low 9.993481e-01
## 6690                   France            L          Low 3.842188e-01
## 6691            United States            M         High 9.732324e-01
## 6692            United States            M          Low 9.205582e-01
## 6693            United States            M          Low 9.968132e-01
## 6694            United States            M          Low 9.104205e-01
## 6695            United States            M          Low 9.834994e-01
## 6696            United States            M          Low 9.385592e-01
## 6697            United States            M         High 9.999213e-01
## 6698            United States            M          Low 9.788238e-01
## 6699            United States            M         High 9.383885e-02
## 6700            United States            M         High 5.775310e-01
## 6701            United States            M         High 9.999542e-01
## 6702            United States            M          Low 9.770311e-01
## 6703            United States            M         High 9.561671e-01
## 6704            United States            M          Low 9.903533e-01
## 6705            United States            M         High 4.989552e-01
## 6706            United States            M         High 9.889925e-01
## 6707            United States            M         High 9.936368e-01
## 6708            United States            M          Low 9.165238e-01
## 6709            United States            M          Low 9.889381e-01
## 6710            United States            M          Low 9.247642e-01
## 6711            United States            L         High 9.321614e-01
## 6712            United States            M          Low 9.987416e-01
## 6713            United States            M          Low 8.883857e-01
## 6714                  Germany            S          Low 7.313278e-01
## 6715                  Germany            S          Low 6.685821e-01
## 6716                  Germany            M         High 2.723230e-01
## 6717                  Germany            M         High 9.861891e-01
## 6718            United States            M          Low 9.985634e-01
## 6719            United States            M          Low 9.360135e-01
## 6720            United States            M          Low 9.985634e-01
## 6721            United States            M          Low 9.360135e-01
## 6722            United States            M         High 9.912749e-01
## 6723            United States            M          Low 7.845206e-01
## 6724           United Kingdom            M          Low 2.501003e-01
## 6725           United Kingdom            M          Low 2.914933e-01
## 6726           United Kingdom            M         High 4.895465e-03
## 6727           United Kingdom            M          Low 4.155264e-02
## 6728            United States            M          Low 7.436734e-01
## 6729            United States            M          Low 6.098248e-01
## 6730            United States            M          Low 9.830076e-01
## 6731            United States            M          Low 6.143362e-01
## 6732            United States            M          Low 6.756219e-01
## 6733            United States            M          Low 6.096398e-01
## 6734            United States            M         High 9.999126e-01
## 6735            United States            M          Low 9.242927e-01
## 6736            United States            M         High 9.737503e-01
## 6737            United States            M          Low 7.959861e-01
## 6738            United States            M          Low 9.723657e-01
## 6739            United States            M          Low 8.225543e-01
## 6740           United Kingdom            M          Low 2.928437e-01
## 6741           United Kingdom            M          Low 2.871634e-01
## 6742            United States            M         High 9.999703e-01
## 6743            United States            M          Low 7.633120e-01
## 6744            United States            M         High 9.930114e-01
## 6745            United States            M          Low 9.410453e-01
## 6746            United States            M         High 9.844512e-01
## 6747            United States            M          Low 9.723657e-01
## 6748            United States            M         High 6.604326e-01
## 6749            United States            M         High 9.736875e-01
## 6750            United States            M         High 9.999126e-01
## 6751            United States            M          Low 9.242927e-01
## 6752            United States            M          Low 9.987416e-01
## 6753            United States            M          Low 9.723657e-01
## 6754            United States            M         High 8.546385e-01
## 6755            United States            M         High 9.898375e-01
## 6756            United States            M         High 9.964950e-01
## 6757            United States            M          Low 9.834994e-01
## 6758            United States            M         High 3.474816e-01
## 6759            United States            M         High 9.591944e-01
## 6760            United States            M          Low 9.912530e-01
## 6761            United States            M         High 9.940326e-01
## 6762                    Spain            L          Low 3.595247e-01
## 6763            United States            M          Low 8.573037e-01
## 6764            United States            M          Low 7.884590e-01
## 6765            United States            M         High 9.999206e-01
## 6766            United States            M          Low 8.276267e-01
## 6767            United States            M         High 9.944303e-01
## 6768            United States            M          Low 8.075593e-01
## 6769            United States            M         High 8.795718e-01
## 6770            United States            M          Low 9.961307e-01
## 6771            United States            M         High 9.972498e-01
## 6772            United States            M          Low 9.853060e-01
## 6773            United States            M         High 9.972498e-01
## 6774            United States            M          Low 9.853060e-01
## 6775            United States            M          Low 9.104205e-01
## 6776            United States            M          Low 6.098248e-01
## 6777            United States            M         High 6.604326e-01
## 6778            United States            M         High 9.999508e-01
## 6779                   Canada            M         High 3.162263e-01
## 6780                   Canada            M         High 9.994141e-01
## 6781            United States            M         High 9.079007e-01
## 6782            United States            M          Low 9.204611e-01
## 6783            United States            M         High 9.999765e-01
## 6784            United States            M          Low 8.883857e-01
## 6785            United States            M         High 1.796154e-01
## 6786            United States            M         High 8.263115e-01
## 6787            United States            M         High 9.321614e-01
## 6788            United States            M         High 9.881034e-01
## 6789            United States            M         High 1.305635e-01
## 6790            United States            M         High 8.904603e-01
## 6791            United States            M         High 1.305635e-01
## 6792            United States            M         High 8.904603e-01
## 6793            United States            M         High 9.844512e-01
## 6794            United States            M          Low 9.987416e-01
## 6795            United States            M         High 9.930114e-01
## 6796            United States            M          Low 8.883857e-01
## 6797            United States            M         High 7.041363e-03
## 6798            United States            M         High 5.219219e-01
## 6799           United Kingdom            L          Low 7.415054e-02
## 6800            United States            S          Low 9.385592e-01
## 6801            United States            S          Low 7.436734e-01
## 6802            United States            M          Low 5.171519e-01
## 6803            United States            M          Low 4.535789e-01
## 6804            United States            M          Low 8.573037e-01
## 6805            United States            M          Low 7.845206e-01
## 6806            United States            M          Low 9.976780e-01
## 6807            United States            M          Low 7.561921e-01
## 6808            United States            M         High 5.741659e-02
## 6809            United States            M         High 9.601747e-01
## 6810                    Ghana            S          Low 3.047735e-01
## 6811            United States            M         High 9.558226e-01
## 6812            United States            M         High 9.999334e-01
## 6813            United States            M         High 9.407075e-01
## 6814            United States            M         High 9.989095e-01
## 6815            United States            M         High 8.913819e-01
## 6816            United States            M         High 9.999765e-01
## 6817            United States            M         High 9.407075e-01
## 6818            United States            M         High 9.645295e-01
## 6819            United States            M         High 5.682427e-01
## 6820            United States            M         High 9.736875e-01
## 6821            United States            M         High 8.913819e-01
## 6822            United States            M         High 9.999765e-01
## 6823            United States            M         High 1.337345e-01
## 6824            United States            M         High 5.209999e-01
## 6825            United States            M         High 9.996609e-01
## 6826            United States            M          Low 6.190641e-01
## 6827            United States            M         High 9.999618e-01
## 6828            United States            M          Low 9.857829e-01
## 6829            United States            M         High 6.784732e-01
## 6830            United States            M          Low 9.723657e-01
## 6831            United States            M         High 9.736875e-01
## 6832            United States            M          Low 8.225543e-01
## 6833            United States            M          Low 9.861596e-01
## 6834            United States            M          Low 7.266652e-01
## 6835            United States            M         High 9.736875e-01
## 6836            United States            M         High 9.989095e-01
## 6837            United States            M         High 2.938112e-01
## 6838            United States            M         High 9.918818e-01
## 6839            United States            M          Low 7.436734e-01
## 6840            United States            M          Low 5.634352e-01
## 6841            United States            M         High 3.970313e-01
## 6842            United States            M         High 9.998604e-01
## 6843            United States            M         High 8.913819e-01
## 6844            United States            M         High 9.989095e-01
## 6845            United States            M         High 9.383885e-02
## 6846            United States            M         High 5.775310e-01
## 6847            United States            M          Low 9.993040e-01
## 6848            United States            M          Low 8.573037e-01
## 6849            United States            M         High 9.998241e-01
## 6850            United States            M          Low 9.985634e-01
## 6851            United States            M          Low 9.987416e-01
## 6852            United States            M          Low 9.723657e-01
## 6853            United States            M         High 3.970313e-01
## 6854            United States            M         High 9.998604e-01
## 6855                  Croatia            M          Low 9.540655e-02
## 6856                  Croatia            M          Low 2.502084e-01
## 6857                    India            L          Low 4.841950e-12
## 6858                   Brazil            L          Low 2.121854e-21
## 6859            United States            M         High 4.989552e-01
## 6860            United States            M         High 9.889925e-01
## 6861            United States            M         High 7.051030e-01
## 6862            United States            M         High 9.996765e-01
## 6863            United States            M          Low 9.985634e-01
## 6864            United States            M          Low 9.360135e-01
## 6865            United States            M          Low 9.834994e-01
## 6866            United States            M          Low 8.225543e-01
## 6867                   France            M          Low 7.313278e-01
## 6868                   France            M          Low 6.133108e-01
## 6869            United States            M         High 9.561671e-01
## 6870            United States            M          Low 9.903533e-01
## 6871            United States            M          Low 9.985634e-01
## 6872            United States            M          Low 9.360135e-01
## 6873            United States            M          Low 9.723657e-01
## 6874            United States            M          Low 7.005497e-01
## 6875            United States            M         High 9.930114e-01
## 6876            United States            M          Low 9.410453e-01
## 6877            United States            M         High 1.905311e-01
## 6878            United States            M          Low 9.987416e-01
## 6879            United States            M         High 1.905311e-01
## 6880            United States            M          Low 9.987416e-01
## 6881            United States            M          Low 9.723657e-01
## 6882            United States            M          Low 8.225543e-01
## 6883           United Kingdom            M          Low 2.502084e-01
## 6884           United Kingdom            M          Low 2.833853e-01
## 6885            United States            M         High 7.882049e-01
## 6886            United States            M         High 9.996765e-01
## 6887            United States            M         High 9.025560e-01
## 6888            United States            M          Low 9.540139e-01
## 6889            United States            M          Low 7.005497e-01
## 6890            United States            M          Low 5.634352e-01
## 6891            United States            M         High 8.639376e-01
## 6892            United States            M          Low 9.993481e-01
## 6893            United States            M         High 8.313354e-01
## 6894            United States            M         High 9.677888e-01
## 6895            United States            M          Low 9.987416e-01
## 6896            United States            M          Low 9.723657e-01
## 6897            United States            M          Low 7.845206e-01
## 6898           United Kingdom            M          Low 2.925333e-01
## 6899           United Kingdom            M          Low 9.723657e-01
## 6900           United Kingdom            M          Low 5.634352e-01
## 6901            United States            M         High 9.999206e-01
## 6902            United States            M          Low 8.276267e-01
## 6903            United States            M         High 6.604326e-01
## 6904            United States            M         High 9.918818e-01
## 6905            United States            M         High 6.874121e-01
## 6906            United States            M          Low 9.298415e-01
## 6907            United States            M         High 9.736875e-01
## 6908            United States            M         High 9.989095e-01
## 6909            United States            M         High 9.736875e-01
## 6910            United States            M         High 9.989095e-01
## 6911            United States            M         High 9.736875e-01
## 6912            United States            M          Low 9.912530e-01
## 6913                    Spain            M          Low 4.854551e-01
## 6914                    Spain            M          Low 4.541726e-01
## 6915            United States            L          Low 5.634352e-01
## 6916            United States            L          Low 4.715285e-01
## 6917            United States            M         High 6.900821e-01
## 6918            United States            M          Low 9.947591e-01
## 6919            United States            M         High 4.582049e-01
## 6920            United States            M          Low 9.899501e-01
## 6921           United Kingdom            L         High 9.142993e-03
## 6922            United States            M          Low 7.436734e-01
## 6923            United States            M          Low 4.942249e-01
## 6924            United States            M         High 4.762059e-01
## 6925            United States            M         High 9.979350e-01
## 6926            United States            M          Low 7.845206e-01
## 6927            United States            M          Low 7.005497e-01
## 6928            United States            M         High 9.999126e-01
## 6929            United States            M          Low 9.242927e-01
## 6930            United States            M         High 9.964950e-01
## 6931            United States            M          Low 9.815571e-01
## 6932            United States            M          Low 9.605510e-01
## 6933            United States            M          Low 7.575642e-01
## 6934            United States            M         High 9.944303e-01
## 6935            United States            M          Low 8.075593e-01
## 6936            United States            M         High 4.762059e-01
## 6937            United States            M          Low 5.912933e-01
## 6938                    Spain            M         High 4.426247e-01
## 6939                    Spain            M         High 9.927943e-01
## 6940                    Spain            M         High 4.426247e-01
## 6941                    Spain            M         High 9.927943e-01
## 6942            United States            M         High 9.918818e-01
## 6943            United States            M          Low 9.723657e-01
## 6944            United States            M          Low 9.830076e-01
## 6945            United States            M          Low 6.143362e-01
## 6946            United States            M         High 7.996211e-01
## 6947            United States            M         High 9.973498e-01
## 6948            United States            M         High 5.435055e-03
## 6949                  Ireland            M          Low 7.221346e-01
## 6950            United States            M         High 7.480174e-01
## 6951            United States            M         High 9.918818e-01
## 6952            United States            M         High 6.146101e-01
## 6953            United States            M         High 8.263115e-01
## 6954            United States            M         High 9.736875e-01
## 6955            United States            M          Low 9.574692e-01
## 6956            United States            M         High 8.913819e-01
## 6957            United States            M          Low 9.574692e-01
## 6958            United States            M         High 6.490612e-01
## 6959            United States            M          Low 9.982648e-01
## 6960            United States            M         High 2.118403e-01
## 6961            United States            M         High 9.999333e-01
## 6962            United States            M         High 9.989095e-01
## 6963            United States            M          Low 7.005497e-01
## 6964            United States            M          Low 9.834994e-01
## 6965            United States            M          Low 9.155231e-01
## 6966           United Kingdom            M          Low 9.540655e-02
## 6967           United Kingdom            M          Low 2.007518e-01
## 6968            United States            M          Low 5.171519e-01
## 6969            United States            M          Low 4.535789e-01
## 6970            United States            M          Low 8.883857e-01
## 6971            United States            M         High 6.971746e-01
## 6972            United States            M         High 9.996765e-01
## 6973            United States            M         High 4.762059e-01
## 6974            United States            M         High 9.979350e-01
## 6975            United States            M         High 6.944770e-02
## 6976            United States            M         High 9.455177e-01
## 6977            United States            M         High 3.174806e-03
## 6978            United States            M          Low 5.634352e-01
## 6979            United States            M          Low 9.385592e-01
## 6980            United States            M          Low 8.573037e-01
## 6981            United States            M         High 9.997773e-01
## 6982            United States            M          Low 9.961307e-01
## 6983            United States            M         High 9.732324e-01
## 6984            United States            M          Low 9.205582e-01
## 6985            United States            M          Low 8.500899e-01
## 6986            United States            M          Low 4.893190e-01
## 6987            United States            M         High 5.508732e-01
## 6988            United States            M          Low 9.952182e-01
## 6989            United States            M         High 9.918818e-01
## 6990            United States            M          Low 8.225543e-01
## 6991            United States            M         High 8.196534e-01
## 6992            United States            M          Low 9.629870e-01
## 6993            United States            M         High 9.299213e-01
## 6994            United States            M          Low 9.987416e-01
## 6995            United States            M         High 9.999703e-01
## 6996            United States            M          Low 7.633120e-01
## 6997                   Mexico            S          Low 3.513513e-01
## 6998            United States            M         High 9.844512e-01
## 6999            United States            M         High 9.999660e-01
## 7000            United States            M         High 7.041363e-03
## 7001            United States            M         High 8.913819e-01
## 7002            United States            M         High 6.146101e-01
## 7003            United States            M         High 9.591944e-01
## 7004           United Kingdom            M          Low 5.608233e-02
## 7005           United Kingdom            M          Low 1.457745e-01
## 7006            United States            M         High 7.798981e-01
## 7007            United States            M          Low 9.989943e-01
## 7008           United Kingdom            M         High 1.390231e-02
## 7009           United Kingdom            M          Low 5.608233e-02
## 7010                   Canada            L          Low 4.698727e-01
## 7011            United States            S          Low 9.385592e-01
## 7012            United States            M          Low 9.885274e-01
## 7013            United States            M          Low 7.561921e-01
## 7014           United Kingdom            M          Low 2.694249e-01
## 7015           United Kingdom            M          Low 2.785200e-01
## 7016           United Kingdom            M          Low 2.833853e-01
## 7017           United Kingdom            M          Low 2.912477e-01
## 7018            United States            M         High 2.136998e-01
## 7019            United States            M         High 6.053609e-01
## 7020                   Canada            M         High 4.934731e-01
## 7021                   Canada            M         High 9.998534e-01
## 7022            United States            M         High 9.997426e-01
## 7023            United States            M          Low 9.026989e-01
## 7024            United States            M         High 9.999706e-01
## 7025            United States            M          Low 9.586736e-01
## 7026                    Spain            M          Low 5.599939e-01
## 7027                    Spain            M          Low 5.084929e-01
## 7028                   Canada            M          Low 3.186729e-06
## 7029              Netherlands            L          Low 8.883857e-01
## 7030            United States            M         High 4.762059e-01
## 7031            United States            M         High 9.979350e-01
## 7032           United Kingdom            M         High 9.591944e-01
## 7033           United Kingdom            M          Low 9.730091e-01
## 7034                  Germany            L          Low 2.771363e-01
## 7035            United States            M         High 9.736875e-01
## 7036            United States            M          Low 7.845206e-01
## 7037            United States            M          Low 6.557318e-01
## 7038            United States            M          Low 9.961307e-01
## 7039            United States            M          Low 8.883857e-01
## 7040            United States            M         High 9.998241e-01
## 7041            United States            M          Low 9.987416e-01
## 7042            United States            M         High 8.639376e-01
## 7043            United States            M          Low 9.993481e-01
## 7044            United States            M         High 6.900821e-01
## 7045            United States            M          Low 9.947591e-01
## 7046            United States            M         High 7.051030e-01
## 7047            United States            M         High 9.996765e-01
## 7048            United States            M         High 9.972498e-01
## 7049            United States            M          Low 9.853060e-01
## 7050            United States            M         High 9.972498e-01
## 7051            United States            M          Low 9.853060e-01
## 7052            United States            M         High 7.480174e-01
## 7053            United States            M         High 9.999765e-01
## 7054            United States            M         High 9.997773e-01
## 7055            United States            M          Low 9.574692e-01
## 7056            United States            M         High 8.639376e-01
## 7057            United States            M          Low 9.983276e-01
## 7058            United States            M         High 9.979350e-01
## 7059            United States            M          Low 9.912530e-01
## 7060            United States            M         High 9.999765e-01
## 7061            United States            M          Low 9.252341e-01
## 7062            United States            M         High 9.844512e-01
## 7063            United States            M          Low 9.385592e-01
## 7064            United States            M         High 6.900821e-01
## 7065            United States            M          Low 9.947591e-01
## 7066            United States            M         High 4.582049e-01
## 7067            United States            M          Low 9.899501e-01
## 7068            United States            M         High 9.999765e-01
## 7069            United States            M          Low 9.834994e-01
## 7070            United States            M         High 4.582049e-01
## 7071            United States            M          Low 9.899501e-01
## 7072            United States            M         High 7.051030e-01
## 7073            United States            M         High 9.996765e-01
## 7074                    India            L          Low 2.550292e-01
## 7075            United States            L          Low 9.385592e-01
## 7076            United States            M         High 3.474816e-01
## 7077            United States            M         High 9.661979e-01
## 7078            United States            M          Low 9.912530e-01
## 7079            United States            M          Low 8.883857e-01
## 7080            United States            M         High 9.999126e-01
## 7081            United States            M          Low 9.242927e-01
## 7082            United States            M          Low 9.976780e-01
## 7083            United States            M          Low 7.561921e-01
## 7084            United States            M         High 8.106081e-02
## 7085            United States            M         High 9.140989e-01
## 7086            United States            M         High 8.606973e-01
## 7087            United States            M         High 9.736875e-01
## 7088            United States            M         High 9.964950e-01
## 7089            United States            M         High 9.996609e-01
## 7090            United States            M         High 9.989095e-01
## 7091            United States            M          Low 8.883857e-01
## 7092            United States            M         High 8.913819e-01
## 7093            United States            M         High 9.997773e-01
## 7094            United States            M         High 9.999765e-01
## 7095            United States            M          Low 8.883857e-01
## 7096            United States            M         High 8.970492e-01
## 7097            United States            M          Low 9.466151e-01
## 7098            United States            M          Low 9.155231e-01
## 7099            United States            M          Low 6.557318e-01
## 7100                   Sweden            S          Low 9.912530e-01
## 7101            United States            M         High 9.732324e-01
## 7102            United States            M          Low 9.205582e-01
## 7103            United States            M         High 9.989095e-01
## 7104            United States            M          Low 9.961307e-01
## 7105            United States            M         High 9.654592e-01
## 7106            United States            M          Low 9.953574e-01
## 7107            United States            M         High 7.480174e-01
## 7108            United States            M         High 9.999765e-01
## 7109            United States            L         High 1.856827e-02
## 7110            United States            L         High 3.677605e-01
## 7111            United States            M          Low 9.772522e-01
## 7112            United States            M          Low 8.506363e-01
## 7113            United States            M         High 2.653722e-01
## 7114            United States            M         High 9.624061e-01
## 7115            United States            M         High 9.383885e-02
## 7116            United States            M         High 5.775310e-01
## 7117            United States            M         High 7.051030e-01
## 7118            United States            M         High 9.996765e-01
## 7119            United States            M         High 9.736875e-01
## 7120            United States            M         High 9.999765e-01
## 7121            United States            M         High 6.784732e-01
## 7122            United States            M         High 9.999621e-01
## 7123            United States            M         High 8.302644e-01
## 7124            United States            M         High 9.992673e-01
## 7125            United States            M         High 9.844512e-01
## 7126            United States            M         High 9.997773e-01
## 7127            United States            M         High 5.682427e-01
## 7128            United States            M         High 9.918818e-01
## 7129            United States            M          Low 9.062206e-01
## 7130            United States            M          Low 5.745807e-01
## 7131            United States            L         High 9.998241e-01
## 7132                Singapore            L          Low 2.383266e-02
## 7133                  Estonia            L          Low 5.383744e-01
## 7134            United States            M         High 5.960948e-01
## 7135            United States            M         High 9.997773e-01
## 7136            United States            M         High 5.682427e-01
## 7137            United States            M          Low 9.983686e-01
## 7138            United States            M         High 9.853367e-01
## 7139            United States            M          Low 9.503962e-01
## 7140            United States            M          Low 9.912530e-01
## 7141            United States            M          Low 8.000998e-01
## 7142            United States            M         High 9.989095e-01
##  [ reached 'max' / getOption("max.print") -- omitted 2213 rows ]
# BoxM

library(biotools)
## Warning: package 'biotools' was built under R version 4.3.2
## Loading required package: MASS
## ---
## biotools version 4.2
boxM(dataset[,5:6],Salary_Level)
## 
##  Box's M-test for Homogeneity of Covariance Matrices
## 
## data:  dataset[, 5:6]
## Chi-Sq (approx.) = 4867.9, df = 3, p-value < 2.2e-16
# MANOVA
dataset$Salary_Level <- as.factor(dataset$Salary_Level)

# Run MANOVA analysis
manova_result <- manova(cbind(salary, salary_in_usd) ~ Salary_Level, data = dataset)

# Summary of MANOVA results
summary(manova_result)
##                Df  Pillai approx F num Df den Df    Pr(>F)    
## Salary_Level    1 0.60912   7286.7      2   9352 < 2.2e-16 ***
## Residuals    9353                                             
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1